About Sparta Global Embark on a transformative career journey with Sparta Global, where diversity, innovation, and passion for technology converge. We welcome individuals from all backgrounds, offering not just jobs, but dynamic careers in the tech industry. You'll work alongside enthusiastic professionals, receiving top-tier training and mentorship to hone your skills for success in both public and private sectors. Our commitment to designing impactful careers and coaching future leaders is evident in our over 10 prestigious awards in Learning & Development and Equality, Diversity & Inclusion. As a Top 20 Employer for Social Mobility and a proud B-Corp certified organisation, we're not just advancing careers; we're fostering a more diverse, equitable, and inclusive tech landscape. Join us in shaping the future of technology - where your growth is our mission, and your success, our pride. Apply now to be part of our award-winning team at Sparta Global.? About this role You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services and Big Data and Machine learning. You will be equipped to work within a variety of roles including but not limited to; Data Engineer, Data Analyst, Data Scientist, Information Engineer. You'll be designing, building, maintaining, and troubleshooting the data pipelines that enable organizations to store, process, and analyse their data, and ensuring the data is reliable through testing and debugging. Looking for efficiencies and optimising the data pipelines for scalability and performance will be a focus. You'll be handling and working with large sets of structured and unstructured data and will be responsible for ensuring that the data is organized and available for further analysis and investigation. Working with others is key, you could be working with other engineers, developers, data scientists, analysts and even stakeholders to understand their data needs. We're not expecting you to have the proficiencies right away - that's where our award-winning Academy comes in. We are the experts in building skills and confidence in a fun and supportive environment that will not only challenge you but also develop your specialist capabilities ready to work on our clients' projects. What we're looking for. To be successful for this role you will demonstrate a level of ability in Python or similar. You will be passionate about technology and eager to learn programme development to an advanced level. We're seeking candidates who can exemplify our values: Empathy and Diversity: Integrity, respect, and a commitment to inclusivity. Drive: A goal-oriented mindset with pride in exceeding targets. Collaboration: A team-focused approach, fostering positive relationships.? Innovation: Curiosity, creativity, and openness to diverse ideas. Flexibility: Adaptability and composure in the face of change. As a national organisation with clients across the UK, we require flexibility and a willingness to relocate post-remote training. Deployment locations vary and cannot be guaranteed. We encourage applications from diverse backgrounds and experience levels. Eligibility to work in the UK by the start of employment is mandatory. Why you should apply:? Our environment is designed to nurture your talents and skills, your hard work and progress are not just appreciated - they're tangibly rewarded. We conduct performance-based reviews every six months, offering you the chance to increase your earning potential twice a year. This regular appraisal system is our way of ensuring that your efforts and achievements are consistently recognised and rewarded.? We also provide: 20 days annual leave + bank holidays. An extra day off for your birthday. Pension. Discounted gym membership. Eye care. Death in service cover. Cycle to work scheme. Season ticket loan. Employee assistance program. Yearly budget for personal development. Access to alumni and community networks. Opportunities to be brand ambassadors. Being employed by Sparta Global is an investment in your future that pays dividends along the way. We give you breadth of experience and skills, along with increasing opportunities to develop further and earn more. No two career paths look the same at Sparta. Our Recruitment Process:? Begin your journey via our supportive recruitment process. Apply online and our team will promptly review your application, contacting successful candidates within 48 hours to initiate the next steps. If you pass our initial screening, candidates will proceed to online assessments which vary depending on the opportunity you are applying for. The final stage is a competency interview, here you'll have the opportunity to impress us with your ability to communicate effectively and exhibit behavioural competencies through relevant examples. We're looking for candidates who can demonstrate a collaborative spirit and a growth mindset. Your dedicated Talent Team member will be with you every step of the way to support and answer any questions you have. You can also visit our YouTube channel to gain valuable insights and expert advice on virtual interviews, strategies to manage nerves, and tips on nonverbal communication. We look forward to receiving your application - good luck!
Mar 28, 2024
Full time
About Sparta Global Embark on a transformative career journey with Sparta Global, where diversity, innovation, and passion for technology converge. We welcome individuals from all backgrounds, offering not just jobs, but dynamic careers in the tech industry. You'll work alongside enthusiastic professionals, receiving top-tier training and mentorship to hone your skills for success in both public and private sectors. Our commitment to designing impactful careers and coaching future leaders is evident in our over 10 prestigious awards in Learning & Development and Equality, Diversity & Inclusion. As a Top 20 Employer for Social Mobility and a proud B-Corp certified organisation, we're not just advancing careers; we're fostering a more diverse, equitable, and inclusive tech landscape. Join us in shaping the future of technology - where your growth is our mission, and your success, our pride. Apply now to be part of our award-winning team at Sparta Global.? About this role You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services and Big Data and Machine learning. You will be equipped to work within a variety of roles including but not limited to; Data Engineer, Data Analyst, Data Scientist, Information Engineer. You'll be designing, building, maintaining, and troubleshooting the data pipelines that enable organizations to store, process, and analyse their data, and ensuring the data is reliable through testing and debugging. Looking for efficiencies and optimising the data pipelines for scalability and performance will be a focus. You'll be handling and working with large sets of structured and unstructured data and will be responsible for ensuring that the data is organized and available for further analysis and investigation. Working with others is key, you could be working with other engineers, developers, data scientists, analysts and even stakeholders to understand their data needs. We're not expecting you to have the proficiencies right away - that's where our award-winning Academy comes in. We are the experts in building skills and confidence in a fun and supportive environment that will not only challenge you but also develop your specialist capabilities ready to work on our clients' projects. What we're looking for. To be successful for this role you will demonstrate a level of ability in Python or similar. You will be passionate about technology and eager to learn programme development to an advanced level. We're seeking candidates who can exemplify our values: Empathy and Diversity: Integrity, respect, and a commitment to inclusivity. Drive: A goal-oriented mindset with pride in exceeding targets. Collaboration: A team-focused approach, fostering positive relationships.? Innovation: Curiosity, creativity, and openness to diverse ideas. Flexibility: Adaptability and composure in the face of change. As a national organisation with clients across the UK, we require flexibility and a willingness to relocate post-remote training. Deployment locations vary and cannot be guaranteed. We encourage applications from diverse backgrounds and experience levels. Eligibility to work in the UK by the start of employment is mandatory. Why you should apply:? Our environment is designed to nurture your talents and skills, your hard work and progress are not just appreciated - they're tangibly rewarded. We conduct performance-based reviews every six months, offering you the chance to increase your earning potential twice a year. This regular appraisal system is our way of ensuring that your efforts and achievements are consistently recognised and rewarded.? We also provide: 20 days annual leave + bank holidays. An extra day off for your birthday. Pension. Discounted gym membership. Eye care. Death in service cover. Cycle to work scheme. Season ticket loan. Employee assistance program. Yearly budget for personal development. Access to alumni and community networks. Opportunities to be brand ambassadors. Being employed by Sparta Global is an investment in your future that pays dividends along the way. We give you breadth of experience and skills, along with increasing opportunities to develop further and earn more. No two career paths look the same at Sparta. Our Recruitment Process:? Begin your journey via our supportive recruitment process. Apply online and our team will promptly review your application, contacting successful candidates within 48 hours to initiate the next steps. If you pass our initial screening, candidates will proceed to online assessments which vary depending on the opportunity you are applying for. The final stage is a competency interview, here you'll have the opportunity to impress us with your ability to communicate effectively and exhibit behavioural competencies through relevant examples. We're looking for candidates who can demonstrate a collaborative spirit and a growth mindset. Your dedicated Talent Team member will be with you every step of the way to support and answer any questions you have. You can also visit our YouTube channel to gain valuable insights and expert advice on virtual interviews, strategies to manage nerves, and tips on nonverbal communication. We look forward to receiving your application - good luck!
About Sparta Global Embark on a transformative career journey with Sparta Global, where diversity, innovation, and passion for technology converge. We welcome individuals from all backgrounds, offering not just jobs, but dynamic careers in the tech industry. You'll work alongside enthusiastic professionals, receiving top-tier training and mentorship to hone your skills for success in both public and private sectors. Our commitment to designing impactful careers and coaching future leaders is evident in our over 10 prestigious awards in Learning & Development and Equality, Diversity & Inclusion. As a Top 20 Employer for Social Mobility and a proud B-Corp certified organisation, we're not just advancing careers; we're fostering a more diverse, equitable, and inclusive tech landscape. Join us in shaping the future of technology - where your growth is our mission, and your success, our pride. Apply now to be part of our award-winning team at Sparta Global.? About this role You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services and Big Data and Machine learning. You will be equipped to work within a variety of roles including but not limited to; Data Engineer, Data Analyst, Data Scientist, Information Engineer. You'll be designing, building, maintaining, and troubleshooting the data pipelines that enable organizations to store, process, and analyse their data, and ensuring the data is reliable through testing and debugging. Looking for efficiencies and optimising the data pipelines for scalability and performance will be a focus. You'll be handling and working with large sets of structured and unstructured data and will be responsible for ensuring that the data is organized and available for further analysis and investigation. Working with others is key, you could be working with other engineers, developers, data scientists, analysts and even stakeholders to understand their data needs. We're not expecting you to have the proficiencies right away - that's where our award-winning Academy comes in. We are the experts in building skills and confidence in a fun and supportive environment that will not only challenge you but also develop your specialist capabilities ready to work on our clients' projects. What we're looking for. To be successful for this role you will demonstrate a level of ability in Python or similar. You will be passionate about technology and eager to learn programme development to an advanced level. We're seeking candidates who can exemplify our values: Empathy and Diversity: Integrity, respect, and a commitment to inclusivity. Drive: A goal-oriented mindset with pride in exceeding targets. Collaboration: A team-focused approach, fostering positive relationships.? Innovation: Curiosity, creativity, and openness to diverse ideas. Flexibility: Adaptability and composure in the face of change. As a national organisation with clients across the UK, we require flexibility and a willingness to relocate post-remote training. Deployment locations vary and cannot be guaranteed. We encourage applications from diverse backgrounds and experience levels. Eligibility to work in the UK by the start of employment is mandatory. Why you should apply:? Our environment is designed to nurture your talents and skills, your hard work and progress are not just appreciated - they're tangibly rewarded. We conduct performance-based reviews every six months, offering you the chance to increase your earning potential twice a year. This regular appraisal system is our way of ensuring that your efforts and achievements are consistently recognised and rewarded.? We also provide: 20 days annual leave + bank holidays. An extra day off for your birthday. Pension. Discounted gym membership. Eye care. Death in service cover. Cycle to work scheme. Season ticket loan. Employee assistance program. Yearly budget for personal development. Access to alumni and community networks. Opportunities to be brand ambassadors. Being employed by Sparta Global is an investment in your future that pays dividends along the way. We give you breadth of experience and skills, along with increasing opportunities to develop further and earn more. No two career paths look the same at Sparta. Our Recruitment Process:? Begin your journey via our supportive recruitment process. Apply online and our team will promptly review your application, contacting successful candidates within 48 hours to initiate the next steps. If you pass our initial screening, candidates will proceed to online assessments which vary depending on the opportunity you are applying for. The final stage is a competency interview, here you'll have the opportunity to impress us with your ability to communicate effectively and exhibit behavioural competencies through relevant examples. We're looking for candidates who can demonstrate a collaborative spirit and a growth mindset. Your dedicated Talent Team member will be with you every step of the way to support and answer any questions you have. You can also visit our YouTube channel to gain valuable insights and expert advice on virtual interviews, strategies to manage nerves, and tips on nonverbal communication. We look forward to receiving your application - good luck!
Mar 28, 2024
Full time
About Sparta Global Embark on a transformative career journey with Sparta Global, where diversity, innovation, and passion for technology converge. We welcome individuals from all backgrounds, offering not just jobs, but dynamic careers in the tech industry. You'll work alongside enthusiastic professionals, receiving top-tier training and mentorship to hone your skills for success in both public and private sectors. Our commitment to designing impactful careers and coaching future leaders is evident in our over 10 prestigious awards in Learning & Development and Equality, Diversity & Inclusion. As a Top 20 Employer for Social Mobility and a proud B-Corp certified organisation, we're not just advancing careers; we're fostering a more diverse, equitable, and inclusive tech landscape. Join us in shaping the future of technology - where your growth is our mission, and your success, our pride. Apply now to be part of our award-winning team at Sparta Global.? About this role You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services and Big Data and Machine learning. You will be equipped to work within a variety of roles including but not limited to; Data Engineer, Data Analyst, Data Scientist, Information Engineer. You'll be designing, building, maintaining, and troubleshooting the data pipelines that enable organizations to store, process, and analyse their data, and ensuring the data is reliable through testing and debugging. Looking for efficiencies and optimising the data pipelines for scalability and performance will be a focus. You'll be handling and working with large sets of structured and unstructured data and will be responsible for ensuring that the data is organized and available for further analysis and investigation. Working with others is key, you could be working with other engineers, developers, data scientists, analysts and even stakeholders to understand their data needs. We're not expecting you to have the proficiencies right away - that's where our award-winning Academy comes in. We are the experts in building skills and confidence in a fun and supportive environment that will not only challenge you but also develop your specialist capabilities ready to work on our clients' projects. What we're looking for. To be successful for this role you will demonstrate a level of ability in Python or similar. You will be passionate about technology and eager to learn programme development to an advanced level. We're seeking candidates who can exemplify our values: Empathy and Diversity: Integrity, respect, and a commitment to inclusivity. Drive: A goal-oriented mindset with pride in exceeding targets. Collaboration: A team-focused approach, fostering positive relationships.? Innovation: Curiosity, creativity, and openness to diverse ideas. Flexibility: Adaptability and composure in the face of change. As a national organisation with clients across the UK, we require flexibility and a willingness to relocate post-remote training. Deployment locations vary and cannot be guaranteed. We encourage applications from diverse backgrounds and experience levels. Eligibility to work in the UK by the start of employment is mandatory. Why you should apply:? Our environment is designed to nurture your talents and skills, your hard work and progress are not just appreciated - they're tangibly rewarded. We conduct performance-based reviews every six months, offering you the chance to increase your earning potential twice a year. This regular appraisal system is our way of ensuring that your efforts and achievements are consistently recognised and rewarded.? We also provide: 20 days annual leave + bank holidays. An extra day off for your birthday. Pension. Discounted gym membership. Eye care. Death in service cover. Cycle to work scheme. Season ticket loan. Employee assistance program. Yearly budget for personal development. Access to alumni and community networks. Opportunities to be brand ambassadors. Being employed by Sparta Global is an investment in your future that pays dividends along the way. We give you breadth of experience and skills, along with increasing opportunities to develop further and earn more. No two career paths look the same at Sparta. Our Recruitment Process:? Begin your journey via our supportive recruitment process. Apply online and our team will promptly review your application, contacting successful candidates within 48 hours to initiate the next steps. If you pass our initial screening, candidates will proceed to online assessments which vary depending on the opportunity you are applying for. The final stage is a competency interview, here you'll have the opportunity to impress us with your ability to communicate effectively and exhibit behavioural competencies through relevant examples. We're looking for candidates who can demonstrate a collaborative spirit and a growth mindset. Your dedicated Talent Team member will be with you every step of the way to support and answer any questions you have. You can also visit our YouTube channel to gain valuable insights and expert advice on virtual interviews, strategies to manage nerves, and tips on nonverbal communication. We look forward to receiving your application - good luck!
About Sparta Global Embark on a transformative career journey with Sparta Global, where diversity, innovation, and passion for technology converge. We welcome individuals from all backgrounds, offering not just jobs, but dynamic careers in the tech industry. You'll work alongside enthusiastic professionals, receiving top-tier training and mentorship to hone your skills for success in both public and private sectors. Our commitment to designing impactful careers and coaching future leaders is evident in our over 10 prestigious awards in Learning & Development and Equality, Diversity & Inclusion. As a Top 20 Employer for Social Mobility and a proud B-Corp certified organisation, we're not just advancing careers; we're fostering a more diverse, equitable, and inclusive tech landscape. Join us in shaping the future of technology - where your growth is our mission, and your success, our pride. Apply now to be part of our award-winning team at Sparta Global.? About this role You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services and Big Data and Machine learning. You will be equipped to work within a variety of roles including but not limited to; Data Engineer, Data Analyst, Data Scientist, Information Engineer. You'll be designing, building, maintaining, and troubleshooting the data pipelines that enable organizations to store, process, and analyse their data, and ensuring the data is reliable through testing and debugging. Looking for efficiencies and optimising the data pipelines for scalability and performance will be a focus. You'll be handling and working with large sets of structured and unstructured data and will be responsible for ensuring that the data is organized and available for further analysis and investigation Working with others is key, you could be working with other engineers, developers, data scientists, analysts and even stakeholders to understand their data needs. We're not expecting you to have the proficiencies right away - that's where our award-winning Academy comes in. We are the experts in building skills and confidence in a fun and supportive environment that will not only challenge you but also develop your specialist capabilities ready to work on our clients' projects. What we're looking for. To be successful for this role you will demonstrate a level of ability in Python or similar. You will be passionate about technology and eager to learn programme development to an advanced level. We're seeking candidates who can exemplify our values: Empathy and Diversity: Integrity, respect, and a commitment to inclusivity. Drive: A goal-oriented mindset with pride in exceeding targets. Collaboration: A team-focused approach, fostering positive relationships. Innovation: Curiosity, creativity, and openness to diverse ideas. Flexibility: Adaptability and composure in the face of change. As a national organisation with clients across the UK, we require flexibility and a willingness to relocate post-remote training. Deployment locations vary and cannot be guaranteed. We encourage applications from diverse backgrounds and experience levels. Eligibility to work in the UK by the start of employment is mandatory. Why you should apply:? Our environment is designed to nurture your talents and skills, your hard work and progress are not just appreciated - they're tangibly rewarded. We conduct performance-based reviews every six months, offering you the chance to increase your earning potential twice a year. This regular appraisal system is our way of ensuring that your efforts and achievements are consistently recognised and rewarded.? We also provide: 20 days annual leave + bank holidays. An extra day off for your birthday. Pension. Discounted gym membership. Eye care. Death in service cover. Cycle to work scheme. Season ticket loan. Employee assistance program. Yearly budget for personal development. Access to alumni and community networks. Opportunities to be brand ambassadors. Being employed by Sparta Global is an investment in your future that pays dividends along the way. We give you breadth of experience and skills, along with increasing opportunities to develop further and earn more. No two career paths look the same at Sparta. Our Recruitment Process:? Begin your journey via our supportive recruitment process. Apply online and our team will promptly review your application, contacting successful candidates within 48 hours to initiate the next steps. If you pass our initial screening, candidates will proceed to online assessments which vary depending on the opportunity you are applying for. The final stage is a competency interview, here you'll have the opportunity to impress us with your ability to communicate effectively and exhibit behavioural competencies through relevant examples. We're looking for candidates who can demonstrate a collaborative spirit and a growth mindset. Your dedicated Talent Team member will be with you every step of the way to support and answer any questions you have. You can also visit our YouTube channel to gain valuable insights and expert advice on virtual interviews, strategies to manage nerves, and tips on nonverbal communication. We look forward to receiving your application - good luck!
Mar 28, 2024
Full time
About Sparta Global Embark on a transformative career journey with Sparta Global, where diversity, innovation, and passion for technology converge. We welcome individuals from all backgrounds, offering not just jobs, but dynamic careers in the tech industry. You'll work alongside enthusiastic professionals, receiving top-tier training and mentorship to hone your skills for success in both public and private sectors. Our commitment to designing impactful careers and coaching future leaders is evident in our over 10 prestigious awards in Learning & Development and Equality, Diversity & Inclusion. As a Top 20 Employer for Social Mobility and a proud B-Corp certified organisation, we're not just advancing careers; we're fostering a more diverse, equitable, and inclusive tech landscape. Join us in shaping the future of technology - where your growth is our mission, and your success, our pride. Apply now to be part of our award-winning team at Sparta Global.? About this role You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services and Big Data and Machine learning. You will be equipped to work within a variety of roles including but not limited to; Data Engineer, Data Analyst, Data Scientist, Information Engineer. You'll be designing, building, maintaining, and troubleshooting the data pipelines that enable organizations to store, process, and analyse their data, and ensuring the data is reliable through testing and debugging. Looking for efficiencies and optimising the data pipelines for scalability and performance will be a focus. You'll be handling and working with large sets of structured and unstructured data and will be responsible for ensuring that the data is organized and available for further analysis and investigation Working with others is key, you could be working with other engineers, developers, data scientists, analysts and even stakeholders to understand their data needs. We're not expecting you to have the proficiencies right away - that's where our award-winning Academy comes in. We are the experts in building skills and confidence in a fun and supportive environment that will not only challenge you but also develop your specialist capabilities ready to work on our clients' projects. What we're looking for. To be successful for this role you will demonstrate a level of ability in Python or similar. You will be passionate about technology and eager to learn programme development to an advanced level. We're seeking candidates who can exemplify our values: Empathy and Diversity: Integrity, respect, and a commitment to inclusivity. Drive: A goal-oriented mindset with pride in exceeding targets. Collaboration: A team-focused approach, fostering positive relationships. Innovation: Curiosity, creativity, and openness to diverse ideas. Flexibility: Adaptability and composure in the face of change. As a national organisation with clients across the UK, we require flexibility and a willingness to relocate post-remote training. Deployment locations vary and cannot be guaranteed. We encourage applications from diverse backgrounds and experience levels. Eligibility to work in the UK by the start of employment is mandatory. Why you should apply:? Our environment is designed to nurture your talents and skills, your hard work and progress are not just appreciated - they're tangibly rewarded. We conduct performance-based reviews every six months, offering you the chance to increase your earning potential twice a year. This regular appraisal system is our way of ensuring that your efforts and achievements are consistently recognised and rewarded.? We also provide: 20 days annual leave + bank holidays. An extra day off for your birthday. Pension. Discounted gym membership. Eye care. Death in service cover. Cycle to work scheme. Season ticket loan. Employee assistance program. Yearly budget for personal development. Access to alumni and community networks. Opportunities to be brand ambassadors. Being employed by Sparta Global is an investment in your future that pays dividends along the way. We give you breadth of experience and skills, along with increasing opportunities to develop further and earn more. No two career paths look the same at Sparta. Our Recruitment Process:? Begin your journey via our supportive recruitment process. Apply online and our team will promptly review your application, contacting successful candidates within 48 hours to initiate the next steps. If you pass our initial screening, candidates will proceed to online assessments which vary depending on the opportunity you are applying for. The final stage is a competency interview, here you'll have the opportunity to impress us with your ability to communicate effectively and exhibit behavioural competencies through relevant examples. We're looking for candidates who can demonstrate a collaborative spirit and a growth mindset. Your dedicated Talent Team member will be with you every step of the way to support and answer any questions you have. You can also visit our YouTube channel to gain valuable insights and expert advice on virtual interviews, strategies to manage nerves, and tips on nonverbal communication. We look forward to receiving your application - good luck!
Description Starling is the UK's first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time. We are about giving customers a new way to spend, save and manage their money while taking better care of the planet which has seen us become a multi-award winning bank that now employs over 2800 across five offices in London, Cardiff, Dublin, Southampton, and Manchester. Our journey started in 2014, and since then we have surpassed 3.5 million accounts (and four account types!) with 350,000 business customers. We are a fully licensed UK bank but at the heart, we are a tech first company, enabling our platform to deliver brilliant products. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager. Our Engineering Environment Starling engineers are excited about helping us deliver new features, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech. We are looking for engineers at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis. Responsibilities: Understand, build and develop data integration and warehousing solutions using Google Cloud technologies and data sources Explore ways to monitor and enhance data quality and reliability Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, etc. Work with cloud-based infrastructure (GCP) for hosting data solutions and applications Work with information security teams to understand and identify effective log management to analytics solutions. Collaborate with architects, data analysts, security operations, and data scientists to help meet the business goals Requirements Proven experience in development and maintenance of a cloud based data warehouse Strong experience with SQL and relational databases Good knowledge of the GCP data engineering stack - Dataflow, Dataproc, BigQuery Knowledge of the Hadoop ecosystem Experience supporting and working with cross-functional teams in a dynamic environment Experience in supporting Information Security Teams with ingestion of log sources into SIEM (Security Information & Event Management) Systems. Good knowledge of Logstash or equivalent data parsing solutions. Experience with adapting log sources to Unified Data Model structures. Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 - 30 mins with Stage 2 - 60 mins technical interview with two team members Stage 3 - 45 min final with an executive and a member of the people team Benefits 25 days holiday (plus take your public holiday allowance whenever works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. By submitting your application, you agree that Starling Bank may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
Mar 28, 2024
Full time
Description Starling is the UK's first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time. We are about giving customers a new way to spend, save and manage their money while taking better care of the planet which has seen us become a multi-award winning bank that now employs over 2800 across five offices in London, Cardiff, Dublin, Southampton, and Manchester. Our journey started in 2014, and since then we have surpassed 3.5 million accounts (and four account types!) with 350,000 business customers. We are a fully licensed UK bank but at the heart, we are a tech first company, enabling our platform to deliver brilliant products. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager. Our Engineering Environment Starling engineers are excited about helping us deliver new features, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech. We are looking for engineers at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis. Responsibilities: Understand, build and develop data integration and warehousing solutions using Google Cloud technologies and data sources Explore ways to monitor and enhance data quality and reliability Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, etc. Work with cloud-based infrastructure (GCP) for hosting data solutions and applications Work with information security teams to understand and identify effective log management to analytics solutions. Collaborate with architects, data analysts, security operations, and data scientists to help meet the business goals Requirements Proven experience in development and maintenance of a cloud based data warehouse Strong experience with SQL and relational databases Good knowledge of the GCP data engineering stack - Dataflow, Dataproc, BigQuery Knowledge of the Hadoop ecosystem Experience supporting and working with cross-functional teams in a dynamic environment Experience in supporting Information Security Teams with ingestion of log sources into SIEM (Security Information & Event Management) Systems. Good knowledge of Logstash or equivalent data parsing solutions. Experience with adapting log sources to Unified Data Model structures. Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 - 30 mins with Stage 2 - 60 mins technical interview with two team members Stage 3 - 45 min final with an executive and a member of the people team Benefits 25 days holiday (plus take your public holiday allowance whenever works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. By submitting your application, you agree that Starling Bank may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
Cyber Product Owner ideally from a Cyber/Insurance background Permanent London, City-based client £90,000-£100,000 Must have deep Cyber background, ability to work with key stakeholders (c-suite) and architects and data scientists, and finally the ability to manage BAs aligned with Cyber data tech teams. A new role in from one of the TOP 50 companies to work for, award-winning, in the City, for years in a row. My client uses cutting edge technology and data science to deliver smarter, faster solutions to transform cyber insurance they are looking for a Product Owner ideally from a Cyber/Insurance background to help lead their mission. Must have deep Cyber background, ability to work with key stakeholders (c-suite) and architects and data scientists, and finally the ability to manage the BAs aligned with Cyber data tech teams. Key Responsibilities You will have come from a deep cyber background but be also understand the insurance industry. particularly beneficial if from an InsureTech or Cybertechnology organisation. ability to work with key stakeholders across the business (including c-suite) No code writing in this role, BUT you should be able to hold your own when it comes to discussing threats andvulnerabilities with security professionals be able to converse with architects about data caching techniques and keep up with Data Scientists! line managing the Business Analyst(s) aligned to Cyber data technology teams. Knowledge & Experience experienced product manager or product owner with demonstrable experience preferably within insurance Product and Agile enthusiast Ability to articulate complex ideas, presentations and plans simply and with clarity at all levels across the organisation Recognised Business Analysis or Agile Product Management qualifications desirable.
Mar 27, 2024
Full time
Cyber Product Owner ideally from a Cyber/Insurance background Permanent London, City-based client £90,000-£100,000 Must have deep Cyber background, ability to work with key stakeholders (c-suite) and architects and data scientists, and finally the ability to manage BAs aligned with Cyber data tech teams. A new role in from one of the TOP 50 companies to work for, award-winning, in the City, for years in a row. My client uses cutting edge technology and data science to deliver smarter, faster solutions to transform cyber insurance they are looking for a Product Owner ideally from a Cyber/Insurance background to help lead their mission. Must have deep Cyber background, ability to work with key stakeholders (c-suite) and architects and data scientists, and finally the ability to manage the BAs aligned with Cyber data tech teams. Key Responsibilities You will have come from a deep cyber background but be also understand the insurance industry. particularly beneficial if from an InsureTech or Cybertechnology organisation. ability to work with key stakeholders across the business (including c-suite) No code writing in this role, BUT you should be able to hold your own when it comes to discussing threats andvulnerabilities with security professionals be able to converse with architects about data caching techniques and keep up with Data Scientists! line managing the Business Analyst(s) aligned to Cyber data technology teams. Knowledge & Experience experienced product manager or product owner with demonstrable experience preferably within insurance Product and Agile enthusiast Ability to articulate complex ideas, presentations and plans simply and with clarity at all levels across the organisation Recognised Business Analysis or Agile Product Management qualifications desirable.
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Tuesday 2nd April 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day of for your birthday off if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
Mar 27, 2024
Full time
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Tuesday 2nd April 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day of for your birthday off if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Tuesday 2nd April 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day of for your birthday off if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
Mar 27, 2024
Full time
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Tuesday 2nd April 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day of for your birthday off if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
Senior Data Scientist Application Deadline: 27 March 2024 Department: Digital Product Employment Type: Full Time Location: London, UK Description Are you ready to join an award-winning construction tech company that's changing the game? XYZ Reality, a leading ConTech company based in London, is currently searching for a talented, passionate, and experienced Senior Data Scientist to join our team. Our mission is to revolutionize the construction industry with our custom augmented reality hardware and innovative software, and we're seeking a leader to help us achieve this goal. Our team of highly motivated and professionally qualified engineers specializes in industrial and mechanical design, software development, and electronic design and manufacture. We take pride in delivering products that are both exceptional in quality and innovative, meeting the critical needs of our customers and company. As the Senior Data Scientist at XYZ Reality, you'll have the opportunity to lead our data function. We are seeking a highly skilled and motivated Scientist Data Scientist with a passion for augmented reality to lead and contribute to the development of advanced analytics and machine learning models for our AR solution. The successful candidate will drive the data science efforts, working closely with the engineering and product teams to deliver cutting-edge AR experiences. If you're a talented, passionate, and experienced Senior Data Scientist, or you want to take the next step in your career, we encourage you to apply to join the XYZ Reality team! Key Responsibilities • Data Science Strategy: o Develop and implement the data science strategy for our AR solution, aligning with the company's vision and goals. o Development of machine learning models, AI algorithms, and advanced analytics to enhance our AR experiences. • Multi-Cloud Data Management: o Collaborate with the data engineering team to design and optimize a multi-cloud data architecture that supports data processing, storage, and analytics needs. o Implement solutions to ensure seamless data ingestion, transformation, and integration from various sources. • Machine Learning Model Development: o Lead the design, development, and deployment of machine learning models for real-time AR applications, leveraging image recognition, natural language processing, and other relevant techniques. o Optimize and fine-tune machine learning models to improve accuracy, performance, and user experience. • Cross-Functional Collaboration: o Work closely with product managers, engineers, and designers to integrate data science capabilities into the AR product, ensuring a seamless and engaging user experience. o Collaborate with the data engineering team to streamline data pipelines and ensure efficient data processing and model training. Skills, Knowledge and Expertise • Master's or Ph.D. degree in Data Science, Computer Science, Statistics, or related field. • Proven experience in leading data science initiatives, especially in the context of augmented reality or related technologies. • Strong proficiency in machine learning, deep learning, and statistical modeling. • Experience with cloud platforms (e.g., AWS, Azure, GCP) and associated machine learning services. • Proficiency in programming languages such as Python and expertise in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). • Excellent problem-solving abilities and a strong analytical mindset. • Outstanding communication skills and the ability to collaborate effectively within cross-functional teams. Preferred Qualifications: • Previous experience in augmented reality, computer vision, or related domains. • Familiarity with data engineering concepts and multi-cloud infrastructure. • Experience with deploying machine learning models in real-time applications. • Knowledge of AR/VR development tools and frameworks (e.g., Unity, Unreal Engine). • Published research or contributions to the data science community. Benefits Playing a valuable part in revolutionising the industry Competitive Salary Private Healthcare Stock Options 25 days paid holidays plus bank holidays Easily accessible location Casual dress code Company pension Modern friendly environment
Mar 25, 2024
Full time
Senior Data Scientist Application Deadline: 27 March 2024 Department: Digital Product Employment Type: Full Time Location: London, UK Description Are you ready to join an award-winning construction tech company that's changing the game? XYZ Reality, a leading ConTech company based in London, is currently searching for a talented, passionate, and experienced Senior Data Scientist to join our team. Our mission is to revolutionize the construction industry with our custom augmented reality hardware and innovative software, and we're seeking a leader to help us achieve this goal. Our team of highly motivated and professionally qualified engineers specializes in industrial and mechanical design, software development, and electronic design and manufacture. We take pride in delivering products that are both exceptional in quality and innovative, meeting the critical needs of our customers and company. As the Senior Data Scientist at XYZ Reality, you'll have the opportunity to lead our data function. We are seeking a highly skilled and motivated Scientist Data Scientist with a passion for augmented reality to lead and contribute to the development of advanced analytics and machine learning models for our AR solution. The successful candidate will drive the data science efforts, working closely with the engineering and product teams to deliver cutting-edge AR experiences. If you're a talented, passionate, and experienced Senior Data Scientist, or you want to take the next step in your career, we encourage you to apply to join the XYZ Reality team! Key Responsibilities • Data Science Strategy: o Develop and implement the data science strategy for our AR solution, aligning with the company's vision and goals. o Development of machine learning models, AI algorithms, and advanced analytics to enhance our AR experiences. • Multi-Cloud Data Management: o Collaborate with the data engineering team to design and optimize a multi-cloud data architecture that supports data processing, storage, and analytics needs. o Implement solutions to ensure seamless data ingestion, transformation, and integration from various sources. • Machine Learning Model Development: o Lead the design, development, and deployment of machine learning models for real-time AR applications, leveraging image recognition, natural language processing, and other relevant techniques. o Optimize and fine-tune machine learning models to improve accuracy, performance, and user experience. • Cross-Functional Collaboration: o Work closely with product managers, engineers, and designers to integrate data science capabilities into the AR product, ensuring a seamless and engaging user experience. o Collaborate with the data engineering team to streamline data pipelines and ensure efficient data processing and model training. Skills, Knowledge and Expertise • Master's or Ph.D. degree in Data Science, Computer Science, Statistics, or related field. • Proven experience in leading data science initiatives, especially in the context of augmented reality or related technologies. • Strong proficiency in machine learning, deep learning, and statistical modeling. • Experience with cloud platforms (e.g., AWS, Azure, GCP) and associated machine learning services. • Proficiency in programming languages such as Python and expertise in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). • Excellent problem-solving abilities and a strong analytical mindset. • Outstanding communication skills and the ability to collaborate effectively within cross-functional teams. Preferred Qualifications: • Previous experience in augmented reality, computer vision, or related domains. • Familiarity with data engineering concepts and multi-cloud infrastructure. • Experience with deploying machine learning models in real-time applications. • Knowledge of AR/VR development tools and frameworks (e.g., Unity, Unreal Engine). • Published research or contributions to the data science community. Benefits Playing a valuable part in revolutionising the industry Competitive Salary Private Healthcare Stock Options 25 days paid holidays plus bank holidays Easily accessible location Casual dress code Company pension Modern friendly environment
Senior Data Scientist - NLP page is loaded Senior Data Scientist - NLP Apply locations London, England Cork, Ireland time type Full time posted on Posted 6 Days Ago job requisition id R10356 It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. Corporate Overview Proofpoint is a leading cybersecurity company protecting organisations' greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions, Proofpoint helps companies around the world stop targeted threats, safeguard their data, and make their users more resilient against cyber attacks. Leading organisations of all sizes, including more than half of the Fortune 1000, rely on Proofpoint for people-centric security and compliance solutions mitigating their most critical risks across email, the cloud, social media, and the web. We are singularly devoted to helping our customers protect their greatest assets and biggest security risk: their people. That's why we're a leader in next-generation cybersecurity. The Role Proofpoint is looking for a Senior Data Scientist to join our Algo team. The key responsibility for this role is to further enhance our email threat detection engine that protects some of the largest businesses in the world. You will collaborate cross-org with Product and Engineering and lead major initiatives end-to-end ensuring that we apply state-of-the-art machine learning tools and techniques to identify and solve the most impactful problems. You will also help promote machine learning best practices and encourage new approaches to problem-solving within the team. Your day-to-day Wrangle and draw insights from massive amounts of unstructured textual data (email datasets) using the latest tools and technologies like Spark, Iceberg, Athena, AWS SageMaker Apply state-of-the-art machine learning techniques like encoder-decoder transformers, LLMs, Graph Neural Networks to solve some of the most challenging problems Directly impact the effectiveness of our core products by training and deploying models to production using AWS SageMaker as the MLOps platform Apply unsupervised learning algorithms across billions of email interactions to identify emerging threat patterns Collaborate, communicate, and partner with Product and Engineering teams promoting a data-driven approach to identify focus areas for data science Mentor data scientists, drive best practices and cultivate an environment of experimentation and learning Stay up-to-date with the latest advancements in machine learning, AI technologies, and incorporate them into our solutions where applicable What you bring to the team Essential Experience leading multiple highly impactful machine learning projects with proven results Hands-on experience in the NLP domain involving training, fine-tuning and productionising transformer-based models for text classification / text-embeddings (experience with LLMs, generative AI is a plus) Experience monitoring and maintaining performance of models over time in production taking into account model/data drifts In-depth experience with one or more deep neural network frameworks (e.g. PyTorch, Tensorflow, JAX) A creative mindset, propensity to care deeply about the impact their team has and to encourage novel ways of critical thinking in their team Excellent listening skills; open to input from other team members and departments Optional Conceptual understanding of Graph Neural Networks and experience applying GNNs to solve real world problem statements will be a plus Experience working on large imbalanced datasets, evaluating and selecting models that work well in production on imbalanced real-world data Why Proofpoint Protecting people is at the heart of our award-winning cybersecurity solutions, and the people who work here are the key to our success. We're a customer-focused and driven-to-win organisation with leading-edge products. We are an inclusive, diverse, multinational company that believes in culture fit, but more importantly 'culture-add', and we strongly encourage people from all walks of life to apply. We believe in hiring the best and the brightest to help cultivate our culture of collaboration and appreciation. Apply today and explore your future at Proofpoint! If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Proofpoint Best Places to Work Awards Proofpoint was honored with 9 Best Places to Work Awards in 2023 by workplace culture leader, Comparably. To view additional awards, visit People-Centric Proofpoint thrives on the invaluable contributions of our diverse workforce, which encompasses a kaleidoscope of lived experiences, thoughts, perspectives, and professional expertise. We attribute much of our success to our people, who are at the core of our organization and embody our people-centric ethos. Disrupting the Status Quo We hire the most innovative minds globally to safeguard our customers' sensitive data and intellectual property. Our talented workforce develops and leverages our advanced technology, combining their expertise to provide comprehensive protection against threat actors and mitigate the risks posed by both malicious and negligent employees. Making a Difference Cyberattacks have the potential to disrupt access to vital resources such as energy, water, transportation, healthcare, and financial services. At Proofpoint, our dedicated team works tirelessly to ensure world-class cyber resilience, protecting approximately 8,000 enterprise customers worldwide. Our Commitment We are committed to creating a diverse, equitable, and inclusive environment. We work every day to ensure that our employees feel that they are in a community that celebrates their unique identity, cultivates their sense of belonging, and invests in their professional growth. We have 9 employee-led employee inclusion groups which help support both employees and our organization by providing opportunities to network, discuss career and cultural development and uplift the corporate culture to create a more inclusive workplace. About Us At Proofpoint, we have a passion for protecting people, data, and brands from today's advanced threats and compliance risks. We hire the best people in the business to: Build and enhance our proven security platform Blend innovation and speed in a constantly evolving cloud architecture Analyze new threats and offer deep insight through data-driven intel Collaborate with customers to help solve their toughest security challenges We are singularly devoted to helping our customers protect what matters most. That's why we're a leader in next-generation cybersecurity-and why more than half of the Fortune 100 trust us as a security partner. Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
Mar 25, 2024
Full time
Senior Data Scientist - NLP page is loaded Senior Data Scientist - NLP Apply locations London, England Cork, Ireland time type Full time posted on Posted 6 Days Ago job requisition id R10356 It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. Corporate Overview Proofpoint is a leading cybersecurity company protecting organisations' greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions, Proofpoint helps companies around the world stop targeted threats, safeguard their data, and make their users more resilient against cyber attacks. Leading organisations of all sizes, including more than half of the Fortune 1000, rely on Proofpoint for people-centric security and compliance solutions mitigating their most critical risks across email, the cloud, social media, and the web. We are singularly devoted to helping our customers protect their greatest assets and biggest security risk: their people. That's why we're a leader in next-generation cybersecurity. The Role Proofpoint is looking for a Senior Data Scientist to join our Algo team. The key responsibility for this role is to further enhance our email threat detection engine that protects some of the largest businesses in the world. You will collaborate cross-org with Product and Engineering and lead major initiatives end-to-end ensuring that we apply state-of-the-art machine learning tools and techniques to identify and solve the most impactful problems. You will also help promote machine learning best practices and encourage new approaches to problem-solving within the team. Your day-to-day Wrangle and draw insights from massive amounts of unstructured textual data (email datasets) using the latest tools and technologies like Spark, Iceberg, Athena, AWS SageMaker Apply state-of-the-art machine learning techniques like encoder-decoder transformers, LLMs, Graph Neural Networks to solve some of the most challenging problems Directly impact the effectiveness of our core products by training and deploying models to production using AWS SageMaker as the MLOps platform Apply unsupervised learning algorithms across billions of email interactions to identify emerging threat patterns Collaborate, communicate, and partner with Product and Engineering teams promoting a data-driven approach to identify focus areas for data science Mentor data scientists, drive best practices and cultivate an environment of experimentation and learning Stay up-to-date with the latest advancements in machine learning, AI technologies, and incorporate them into our solutions where applicable What you bring to the team Essential Experience leading multiple highly impactful machine learning projects with proven results Hands-on experience in the NLP domain involving training, fine-tuning and productionising transformer-based models for text classification / text-embeddings (experience with LLMs, generative AI is a plus) Experience monitoring and maintaining performance of models over time in production taking into account model/data drifts In-depth experience with one or more deep neural network frameworks (e.g. PyTorch, Tensorflow, JAX) A creative mindset, propensity to care deeply about the impact their team has and to encourage novel ways of critical thinking in their team Excellent listening skills; open to input from other team members and departments Optional Conceptual understanding of Graph Neural Networks and experience applying GNNs to solve real world problem statements will be a plus Experience working on large imbalanced datasets, evaluating and selecting models that work well in production on imbalanced real-world data Why Proofpoint Protecting people is at the heart of our award-winning cybersecurity solutions, and the people who work here are the key to our success. We're a customer-focused and driven-to-win organisation with leading-edge products. We are an inclusive, diverse, multinational company that believes in culture fit, but more importantly 'culture-add', and we strongly encourage people from all walks of life to apply. We believe in hiring the best and the brightest to help cultivate our culture of collaboration and appreciation. Apply today and explore your future at Proofpoint! If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Proofpoint Best Places to Work Awards Proofpoint was honored with 9 Best Places to Work Awards in 2023 by workplace culture leader, Comparably. To view additional awards, visit People-Centric Proofpoint thrives on the invaluable contributions of our diverse workforce, which encompasses a kaleidoscope of lived experiences, thoughts, perspectives, and professional expertise. We attribute much of our success to our people, who are at the core of our organization and embody our people-centric ethos. Disrupting the Status Quo We hire the most innovative minds globally to safeguard our customers' sensitive data and intellectual property. Our talented workforce develops and leverages our advanced technology, combining their expertise to provide comprehensive protection against threat actors and mitigate the risks posed by both malicious and negligent employees. Making a Difference Cyberattacks have the potential to disrupt access to vital resources such as energy, water, transportation, healthcare, and financial services. At Proofpoint, our dedicated team works tirelessly to ensure world-class cyber resilience, protecting approximately 8,000 enterprise customers worldwide. Our Commitment We are committed to creating a diverse, equitable, and inclusive environment. We work every day to ensure that our employees feel that they are in a community that celebrates their unique identity, cultivates their sense of belonging, and invests in their professional growth. We have 9 employee-led employee inclusion groups which help support both employees and our organization by providing opportunities to network, discuss career and cultural development and uplift the corporate culture to create a more inclusive workplace. About Us At Proofpoint, we have a passion for protecting people, data, and brands from today's advanced threats and compliance risks. We hire the best people in the business to: Build and enhance our proven security platform Blend innovation and speed in a constantly evolving cloud architecture Analyze new threats and offer deep insight through data-driven intel Collaborate with customers to help solve their toughest security challenges We are singularly devoted to helping our customers protect what matters most. That's why we're a leader in next-generation cybersecurity-and why more than half of the Fortune 100 trust us as a security partner. Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
About Faculty Faculty transforms organisational performance through safe, impactful and human-led AI. We are Europe's leading applied AI company, and saw its potential a decade ago - long before the current hype cycle. We founded in 2014 with our Fellowship programme, training academics to become commercial data scientists. Today, we provide over 300 global customers with industry-leading software, and bespoke AI consultancy for retail, healthcare, energy, and governmental organisations, as well as our award winning Fellowship. Our expertise and safety credentials are such that OpenAI asked us to be their first technical partner, helping customers deploy cutting-edge generative AI safely. Our high-impact work has saved lives through forecasting NHS demand during covid, produced green energy by routing boats towards the wind, slashed marketing spend by predicting customer spending habits, and kept children safe online. AI is an epoch-defining technology. We want people to join us who can help our customers reap its enormous benefits safely. What You'll Be Doing Working in our Defence business unit You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the defence and national security space - examples of which can be found here You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery. The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing Faculty's view on what it means to operationalise ML software. We're a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems. Working with senior engineers to scope projects and design systems Providing technical expertise to our customers Technical Delivery Who We're Looking For At Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation. We like people who combine expertise and ambition with optimism who are interested in changing the world for the better and have the drive and intelligence to make it happen. If you're the right candidate for us, you probably: Think scientifically, even if you're not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things. Love finding new ways to solve old problems - when it comes to your work and professional development, you don't believe in 'good enough'. You always seek new ways to solve old challenges. Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can't be executed in the real world. To succeed in this role, you'll need the following - these are illustrative requirements and we don't expect all applicants to have experience in everything (70% is a rough guide): Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Demonstrable experience of managing/ mentoring more junior members of the team Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Experience in Software Engineering including programming in Python. Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platform Demonstrable experience with containers and specifically Docker and Kubernetes Comfortable in a high-growth startup environment. Outstanding verbal and written communication. Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution
Mar 25, 2024
Full time
About Faculty Faculty transforms organisational performance through safe, impactful and human-led AI. We are Europe's leading applied AI company, and saw its potential a decade ago - long before the current hype cycle. We founded in 2014 with our Fellowship programme, training academics to become commercial data scientists. Today, we provide over 300 global customers with industry-leading software, and bespoke AI consultancy for retail, healthcare, energy, and governmental organisations, as well as our award winning Fellowship. Our expertise and safety credentials are such that OpenAI asked us to be their first technical partner, helping customers deploy cutting-edge generative AI safely. Our high-impact work has saved lives through forecasting NHS demand during covid, produced green energy by routing boats towards the wind, slashed marketing spend by predicting customer spending habits, and kept children safe online. AI is an epoch-defining technology. We want people to join us who can help our customers reap its enormous benefits safely. What You'll Be Doing Working in our Defence business unit You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the defence and national security space - examples of which can be found here You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery. The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing Faculty's view on what it means to operationalise ML software. We're a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems. Working with senior engineers to scope projects and design systems Providing technical expertise to our customers Technical Delivery Who We're Looking For At Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation. We like people who combine expertise and ambition with optimism who are interested in changing the world for the better and have the drive and intelligence to make it happen. If you're the right candidate for us, you probably: Think scientifically, even if you're not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things. Love finding new ways to solve old problems - when it comes to your work and professional development, you don't believe in 'good enough'. You always seek new ways to solve old challenges. Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can't be executed in the real world. To succeed in this role, you'll need the following - these are illustrative requirements and we don't expect all applicants to have experience in everything (70% is a rough guide): Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Demonstrable experience of managing/ mentoring more junior members of the team Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Experience in Software Engineering including programming in Python. Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platform Demonstrable experience with containers and specifically Docker and Kubernetes Comfortable in a high-growth startup environment. Outstanding verbal and written communication. Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution
N Brown - who we are and why work for us? At N Brown, we're committed to building a diverse workforce and creating an inclusive environment that values equality for all. Our vision is that by championing inclusion, we'll become the most loved and trusted fashion retailer'. Diversity, Equity, Inclusion and Belonging are, therefore, at the heart of our culture. We're a forward-thinking digital retailer with a financial services proposition to be proud of. We're customer-obsessed, serving them through three core brands: JD Williams, Simply Be, and Jacamo. We're experienced, with over 160 years of trading under our belt. We're inclusive, as we believe in fashion without boundaries; and we're sustainable, striving to make as little impact on the planet as possible. The role We're looking for a Lead Data Scientist to join our Data Science team. Data is one of five strategic pillars at N Brown and already plays a really important part in key decisions across our organisation. We're centralised and highly visible giving us the scope to influence opportunities wherever they are. Our team use modern cloud technologies to build award-winning data science solutions. It's rewarding to see our work make a genuine and measurable difference, recognised by our colleagues and in our company reports. This role is particularly important to us as it's ultimately one that shapes the careers of other data scientists, maintains standards, inspires our thinking, and builds confidence with the colleagues our solutions support. What's in it for you? Hybrid working 24 days holiday (+ 8 bank holidays) with the option to buy an additional 10 days Annual bonus scheme Enhanced maternity and adoption leave Access to Apricity, a self-funding IVF benefit at a reduced rate Company pension with up to 8% N Brown contribution Mental Health support both internally and externally, including access to our wellbeing champions and counselling services A range of financial wellbeing support Colleague discount across all N Brown brands Onsite café with subsidised rates and local restaurant discounts! Life Assurance and Private Medical Insurance Paid volunteer time - all our colleagues can take a full day paid to volunteer for a charity of their choice What will you do as a Lead Data Scientist at N Brown? Line manage data scientists providing career, performance, and wellbeing coaching. Provide technical leadership to a data product squad in the design and delivery of solutions. Engage and influence senior colleagues, building understanding and trust in our work. Raise best practice across the Data Science team. Produce compelling data stories backed by powerful visualisations. Contribute to an open, progressive and passionate data community. What skills and experience will you have? Excellent written and verbal communication skills, tailored to audience. Proven ability to influence outcomes and inspire confidence. A track record delivering successful commercial outcomes with Data Science. An excellent understanding of statistics, ML frameworks and algorithms. An excellent understanding of Python and SQL. Experience with cloud platforms (preferably GCP) and a modern tech stack. Our promise to you: We're an equal opportunity employer and value diversity. We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. What happens when you apply to a role at N Brown? As soon as we receive your application, we'll send you an email to let you know. We always aim to come back to you as soon as possible with an update and we really appreciate you taking the time to apply for a role with us. Good luck!
Mar 25, 2024
Full time
N Brown - who we are and why work for us? At N Brown, we're committed to building a diverse workforce and creating an inclusive environment that values equality for all. Our vision is that by championing inclusion, we'll become the most loved and trusted fashion retailer'. Diversity, Equity, Inclusion and Belonging are, therefore, at the heart of our culture. We're a forward-thinking digital retailer with a financial services proposition to be proud of. We're customer-obsessed, serving them through three core brands: JD Williams, Simply Be, and Jacamo. We're experienced, with over 160 years of trading under our belt. We're inclusive, as we believe in fashion without boundaries; and we're sustainable, striving to make as little impact on the planet as possible. The role We're looking for a Lead Data Scientist to join our Data Science team. Data is one of five strategic pillars at N Brown and already plays a really important part in key decisions across our organisation. We're centralised and highly visible giving us the scope to influence opportunities wherever they are. Our team use modern cloud technologies to build award-winning data science solutions. It's rewarding to see our work make a genuine and measurable difference, recognised by our colleagues and in our company reports. This role is particularly important to us as it's ultimately one that shapes the careers of other data scientists, maintains standards, inspires our thinking, and builds confidence with the colleagues our solutions support. What's in it for you? Hybrid working 24 days holiday (+ 8 bank holidays) with the option to buy an additional 10 days Annual bonus scheme Enhanced maternity and adoption leave Access to Apricity, a self-funding IVF benefit at a reduced rate Company pension with up to 8% N Brown contribution Mental Health support both internally and externally, including access to our wellbeing champions and counselling services A range of financial wellbeing support Colleague discount across all N Brown brands Onsite café with subsidised rates and local restaurant discounts! Life Assurance and Private Medical Insurance Paid volunteer time - all our colleagues can take a full day paid to volunteer for a charity of their choice What will you do as a Lead Data Scientist at N Brown? Line manage data scientists providing career, performance, and wellbeing coaching. Provide technical leadership to a data product squad in the design and delivery of solutions. Engage and influence senior colleagues, building understanding and trust in our work. Raise best practice across the Data Science team. Produce compelling data stories backed by powerful visualisations. Contribute to an open, progressive and passionate data community. What skills and experience will you have? Excellent written and verbal communication skills, tailored to audience. Proven ability to influence outcomes and inspire confidence. A track record delivering successful commercial outcomes with Data Science. An excellent understanding of statistics, ML frameworks and algorithms. An excellent understanding of Python and SQL. Experience with cloud platforms (preferably GCP) and a modern tech stack. Our promise to you: We're an equal opportunity employer and value diversity. We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. What happens when you apply to a role at N Brown? As soon as we receive your application, we'll send you an email to let you know. We always aim to come back to you as soon as possible with an update and we really appreciate you taking the time to apply for a role with us. Good luck!
Graduate Data Scientist - Birmingham (flexible 100% remote work or hybrid) Data Science, Data Scientist, Data Analyst, SQL, Data Consultant, Business Analyst, AI, Data Engineer, Technical Consultant An innovative and highly successful technology company is seeking exceptionally strong graduates from leading universities to join their talented and rapidly growing Data Scientists team. The role will involve interpreting client data and implementing bespoke software packages based on your findings which will transform a wide range of business processes. This role will be perfect for someone who has a passion for IT and data analytics. This is an opportunity to develop your skills and start your career within a company that offers huge potential for growth. You will be learning innovative technology whilst developing your skills in a tailored award winning training program. IDEAL CANDIDATE - Degree from a leading university (I.e. Imperial, Cambridge, Oxford , University of Birmingham ) and standout academics - A-Levels A/Bs and above - STEM degree - Highly numerical, strong data analytic skills. Full technical training is provided - Passion for problem-solving and technology Please apply straight away if interested as this role will be very popular! Data Science, Data Scientist, Data Analyst, SQL, Data Consultant, Business Analyst, AI, Data Engineer, Technical Consultant Graduate Data Scientist - Birmingham (flexible 100% remote work or hybrid)
Mar 25, 2024
Full time
Graduate Data Scientist - Birmingham (flexible 100% remote work or hybrid) Data Science, Data Scientist, Data Analyst, SQL, Data Consultant, Business Analyst, AI, Data Engineer, Technical Consultant An innovative and highly successful technology company is seeking exceptionally strong graduates from leading universities to join their talented and rapidly growing Data Scientists team. The role will involve interpreting client data and implementing bespoke software packages based on your findings which will transform a wide range of business processes. This role will be perfect for someone who has a passion for IT and data analytics. This is an opportunity to develop your skills and start your career within a company that offers huge potential for growth. You will be learning innovative technology whilst developing your skills in a tailored award winning training program. IDEAL CANDIDATE - Degree from a leading university (I.e. Imperial, Cambridge, Oxford , University of Birmingham ) and standout academics - A-Levels A/Bs and above - STEM degree - Highly numerical, strong data analytic skills. Full technical training is provided - Passion for problem-solving and technology Please apply straight away if interested as this role will be very popular! Data Science, Data Scientist, Data Analyst, SQL, Data Consultant, Business Analyst, AI, Data Engineer, Technical Consultant Graduate Data Scientist - Birmingham (flexible 100% remote work or hybrid)
Graduate Data Scientist - Birmingham (flexible 100% remote work or hybrid) Data Science, Data Scientist, Data Analyst, SQL, Data Consultant, Business Analyst, AI, Data Engineer, Technical Consultant An innovative and highly successful technology company is seeking exceptionally strong graduates from leading universities to join their talented and rapidly growing Data Scientists team. The role will involve interpreting client data and implementing bespoke software packages based on your findings which will transform a wide range of business processes. This role will be perfect for someone who has a passion for IT and data analytics. This is an opportunity to develop your skills and start your career within a company that offers huge potential for growth. You will be learning innovative technology whilst developing your skills in a tailored award winning training program. IDEAL CANDIDATE - Degree from a leading university (I.e. Imperial, Cambridge, Oxford , University of Birmingham ) and standout academics - A-Levels A/Bs and above - STEM degree - Highly numerical, strong data analytic skills. Full technical training is provided - Passion for problem-solving and technology Please apply straight away if interested as this role will be very popular! Data Science, Data Scientist, Data Analyst, SQL, Data Consultant, Business Analyst, AI, Data Engineer, Technical Consultant Graduate Data Scientist - Birmingham (flexible 100% remote work or hybrid)
Mar 25, 2024
Full time
Graduate Data Scientist - Birmingham (flexible 100% remote work or hybrid) Data Science, Data Scientist, Data Analyst, SQL, Data Consultant, Business Analyst, AI, Data Engineer, Technical Consultant An innovative and highly successful technology company is seeking exceptionally strong graduates from leading universities to join their talented and rapidly growing Data Scientists team. The role will involve interpreting client data and implementing bespoke software packages based on your findings which will transform a wide range of business processes. This role will be perfect for someone who has a passion for IT and data analytics. This is an opportunity to develop your skills and start your career within a company that offers huge potential for growth. You will be learning innovative technology whilst developing your skills in a tailored award winning training program. IDEAL CANDIDATE - Degree from a leading university (I.e. Imperial, Cambridge, Oxford , University of Birmingham ) and standout academics - A-Levels A/Bs and above - STEM degree - Highly numerical, strong data analytic skills. Full technical training is provided - Passion for problem-solving and technology Please apply straight away if interested as this role will be very popular! Data Science, Data Scientist, Data Analyst, SQL, Data Consultant, Business Analyst, AI, Data Engineer, Technical Consultant Graduate Data Scientist - Birmingham (flexible 100% remote work or hybrid)
N Brown - who we are and why work for us? At N Brown, we're committed to building a diverse workforce and creating an inclusive environment that values equality for all. Our vision is that by championing inclusion, we'll become the most loved and trusted fashion retailer'. Diversity, Equity, Inclusion and Belonging are, therefore, at the heart of our culture. We're a forward-thinking digital retailer with a financial services proposition to be proud of. We're customer-obsessed, serving them through three core brands: JD Williams, Simply Be, and Jacamo. We're experienced, with over 160 years of trading under our belt. We're inclusive, as we believe in fashion without boundaries; and we're sustainable, striving to make as little impact on the planet as possible. The role We're looking for a Lead Data Scientist to join our Data Science team. Data is one of five strategic pillars at N Brown and already plays a really important part in key decisions across our organisation. We're centralised and highly visible giving us the scope to influence opportunities wherever they are. Our team use modern cloud technologies to build award-winning data science solutions. It's rewarding to see our work make a genuine and measurable difference, recognised by our colleagues and in our company reports. This role is particularly important to us as it's ultimately one that shapes the careers of other data scientists, maintains standards, inspires our thinking, and builds confidence with the colleagues our solutions support. What's in it for you? Hybrid working 24 days holiday (+ 8 bank holidays) with the option to buy an additional 10 days Annual bonus scheme Enhanced maternity and adoption leave Access to Apricity, a self-funding IVF benefit at a reduced rate Company pension with up to 8% N Brown contribution Mental Health support both internally and externally, including access to our wellbeing champions and counselling services A range of financial wellbeing support Colleague discount across all N Brown brands Onsite caf with subsidised rates and local restaurant discounts! Life Assurance and Private Medical Insurance Paid volunteer time - all our colleagues can take a full day paid to volunteer for a charity of their choice What will you do as a Lead Data Scientist at N Brown? Line manage data scientists providing career, performance, and wellbeing coaching. Provide technical leadership to a data product squad in the design and delivery of solutions. Engage and influence senior colleagues, building understanding and trust in our work. Raise best practice across the Data Science team. Produce compelling data stories backed by powerful visualisations. Contribute to an open, progressive and passionate data community. What skills and experience will you have? Excellent written and verbal communication skills, tailored to audience. Proven ability to influence outcomes and inspire confidence. A track record delivering successful commercial outcomes with Data Science. An excellent understanding of statistics, ML frameworks and algorithms. An excellent understanding of Python and SQL. Experience with cloud platforms (preferably GCP) and a modern tech stack. Our promise to you: We're an equal opportunity employer and value diversity. We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. What happens when you apply to a role at N Brown? As soon as we receive your application, we'll send you an email to let you know. We always aim to come back to you as soon as possible with an update and we really appreciate you taking the time to apply for a role with us. Good luck!
Mar 25, 2024
Full time
N Brown - who we are and why work for us? At N Brown, we're committed to building a diverse workforce and creating an inclusive environment that values equality for all. Our vision is that by championing inclusion, we'll become the most loved and trusted fashion retailer'. Diversity, Equity, Inclusion and Belonging are, therefore, at the heart of our culture. We're a forward-thinking digital retailer with a financial services proposition to be proud of. We're customer-obsessed, serving them through three core brands: JD Williams, Simply Be, and Jacamo. We're experienced, with over 160 years of trading under our belt. We're inclusive, as we believe in fashion without boundaries; and we're sustainable, striving to make as little impact on the planet as possible. The role We're looking for a Lead Data Scientist to join our Data Science team. Data is one of five strategic pillars at N Brown and already plays a really important part in key decisions across our organisation. We're centralised and highly visible giving us the scope to influence opportunities wherever they are. Our team use modern cloud technologies to build award-winning data science solutions. It's rewarding to see our work make a genuine and measurable difference, recognised by our colleagues and in our company reports. This role is particularly important to us as it's ultimately one that shapes the careers of other data scientists, maintains standards, inspires our thinking, and builds confidence with the colleagues our solutions support. What's in it for you? Hybrid working 24 days holiday (+ 8 bank holidays) with the option to buy an additional 10 days Annual bonus scheme Enhanced maternity and adoption leave Access to Apricity, a self-funding IVF benefit at a reduced rate Company pension with up to 8% N Brown contribution Mental Health support both internally and externally, including access to our wellbeing champions and counselling services A range of financial wellbeing support Colleague discount across all N Brown brands Onsite caf with subsidised rates and local restaurant discounts! Life Assurance and Private Medical Insurance Paid volunteer time - all our colleagues can take a full day paid to volunteer for a charity of their choice What will you do as a Lead Data Scientist at N Brown? Line manage data scientists providing career, performance, and wellbeing coaching. Provide technical leadership to a data product squad in the design and delivery of solutions. Engage and influence senior colleagues, building understanding and trust in our work. Raise best practice across the Data Science team. Produce compelling data stories backed by powerful visualisations. Contribute to an open, progressive and passionate data community. What skills and experience will you have? Excellent written and verbal communication skills, tailored to audience. Proven ability to influence outcomes and inspire confidence. A track record delivering successful commercial outcomes with Data Science. An excellent understanding of statistics, ML frameworks and algorithms. An excellent understanding of Python and SQL. Experience with cloud platforms (preferably GCP) and a modern tech stack. Our promise to you: We're an equal opportunity employer and value diversity. We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. What happens when you apply to a role at N Brown? As soon as we receive your application, we'll send you an email to let you know. We always aim to come back to you as soon as possible with an update and we really appreciate you taking the time to apply for a role with us. Good luck!
About Faculty Faculty transforms organisational performance through safe, impactful and human-led AI. We are Europe's leading applied AI company, and saw its potential a decade ago - long before the current hype cycle. We founded in 2014 with our Fellowship programme, training academics to become commercial data scientists. Today, we provide over 300 global customers with industry-leading software, and bespoke AI consultancy for retail, healthcare, energy, and governmental organisations, as well as our award winning Fellowship. Our expertise and safety credentials are such that OpenAI asked us to be their first technical partner, helping customers deploy cutting-edge generative AI safely. Our high-impact work has saved lives through forecasting NHS demand during covid, produced green energy by routing boats towards the wind, slashed marketing spend by predicting customer spending habits, and kept children safe online. AI is an epoch-defining technology. We want people to join us who can help our customers reap its enormous benefits safely. What You'll Be Doing You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Energy Transition & Environment space - examples of which can be found here . You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery. The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing Faculty's view on what it means to operationalise ML software. We're a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems. Working with senior engineers to scope projects and design systems Providing technical expertise to our customers Technical Delivery Who We're Looking For At Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation. We like people who combine expertise and ambition with optimism who are interested in changing the world for the better and have the drive and intelligence to make it happen. If you're the right candidate for us, you probably: Think scientifically, even if you're not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things. Love finding new ways to solve old problems - when it comes to your work and professional development, you don't believe in 'good enough'. You always seek new ways to solve old challenges. Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can't be executed in the real world. To succeed in this role, you'll need the following - these are illustrative requirements and we don't expect all applicants to have experience in everything (70% is a rough guide): Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Experience in Software Engineering including programming in Python. Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platform Demonstrable experience with containers and specifically Docker and Kubernetes Comfortable in a high-growth startup environment. Outstanding verbal and written communication. Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution
Mar 24, 2024
Full time
About Faculty Faculty transforms organisational performance through safe, impactful and human-led AI. We are Europe's leading applied AI company, and saw its potential a decade ago - long before the current hype cycle. We founded in 2014 with our Fellowship programme, training academics to become commercial data scientists. Today, we provide over 300 global customers with industry-leading software, and bespoke AI consultancy for retail, healthcare, energy, and governmental organisations, as well as our award winning Fellowship. Our expertise and safety credentials are such that OpenAI asked us to be their first technical partner, helping customers deploy cutting-edge generative AI safely. Our high-impact work has saved lives through forecasting NHS demand during covid, produced green energy by routing boats towards the wind, slashed marketing spend by predicting customer spending habits, and kept children safe online. AI is an epoch-defining technology. We want people to join us who can help our customers reap its enormous benefits safely. What You'll Be Doing You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Energy Transition & Environment space - examples of which can be found here . You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery. The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing Faculty's view on what it means to operationalise ML software. We're a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems. Working with senior engineers to scope projects and design systems Providing technical expertise to our customers Technical Delivery Who We're Looking For At Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation. We like people who combine expertise and ambition with optimism who are interested in changing the world for the better and have the drive and intelligence to make it happen. If you're the right candidate for us, you probably: Think scientifically, even if you're not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things. Love finding new ways to solve old problems - when it comes to your work and professional development, you don't believe in 'good enough'. You always seek new ways to solve old challenges. Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can't be executed in the real world. To succeed in this role, you'll need the following - these are illustrative requirements and we don't expect all applicants to have experience in everything (70% is a rough guide): Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Experience in Software Engineering including programming in Python. Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platform Demonstrable experience with containers and specifically Docker and Kubernetes Comfortable in a high-growth startup environment. Outstanding verbal and written communication. Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution
The following content displays a map of the jobs location - London We're all about the little helps. That's why we give our wonderful colleagues bags of benefits. Including wellbeing services, an award-winning pension scheme and much, much more, our colleague reward package keeps on giving. And helps make every day a little better for you and your family. These include but are not limited to: Annual bonus scheme of up to 20% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) Buy holiday salary sacrifice scheme (for salaried roles) Private medical insurance Retirement savings plan - save between 4% and 7.5% and Tesco will match your contribution Life Assurance - 5 x contractual pay 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 4 weeks fully paid paternity leave The right to request flexible working from your first day with us Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing A Colleague Clubcard for you & a family member (after 3 months of service), giving you access to lots of discounts in-store & online Great colleague deals and discounts, saving you money on everyday purchases, eating out and utility bills for the home Access to our colleague networks providing a space for colleagues to come together from a range of backgrounds. For more information about our colleague networks please click here Opportunities to get on - take advantage of our ongoing learning opportunities and award-winning training, to help you achieve the job and career you want Click Here to read more about the full range of benefits we have available for our colleagues About the role At Tesco, our Data Science team focuses on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores, online, supply chain, marketing and Clubcard, where we encourage rotation amongst our Data Scientists so they can gain expertise in different subjects. We work on several domains and problem types: online, pricing, security, fulfilment, distribution, property, IoT and computer vision are just some. Our team members spend 10% of their week on learning and personal development. Multiple academic collaborations enrich the team expertise; knowledge sharing events are regular. Furthermore, we have got a great work-life balance, team days and relaxed but engaging culture. You will be responsible for This is a hands-on position where you will need to leverage your analytical mindset to find solutions to complex problems. As a Data Scientist, you will need to understand difficult business problems and prototype solutions with minimal support. Apply, modify and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop, Spark) is a core component of the role. Our data scientists will need to be able to validate, document and present the modeling process and performances, as well as communicate complex solutions in a clear, understandable way to nonexperts. Data Scientists are also responsible for promoting data science across Tesco and promote Tesco across the external Data Science community. You will need to use your skills in computer vision and deep learning to build proof of concepts as well production solutions, making your contribution to develop and deploy Computer Vision solutions across Tesco's environment. You will have the opportunity to get grow, improve your skills while working with an expert team, as well as mentor and upskill team members. The Tesco Data Science career framework will give you the possibility to grow within the team and the company, as an individual contributor or as a manager. You will need We are looking for ambitious individuals with around one year experience in computer vision solutions. A mix of statistics and machine learning skills are also welcome. A track record in modifying and designing advanced algorithms and applying them to large real-world data sets is fundamental. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. An advanced education degree in computer vision subjects or a higher degree in a mathematical, scientific, engineering or computer science discipline is preferable, or relevant work experience. Finally, strong programming experience in Python. The ideal candidate would have experience of the following: Deep Learning frameworks:Tensorflow and/or PyTorch Object detection models, e.g. Faster-RCNN, YOLO, EfficientDet, Nvidia models Libraries and tools: OpenCV, scikit-image, SciPy, Pandas, Docker, Git Working knowledge of image processing, and video technology Object tracking (optional) Real-time video processing (optional) About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here . We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.
Mar 24, 2024
Full time
The following content displays a map of the jobs location - London We're all about the little helps. That's why we give our wonderful colleagues bags of benefits. Including wellbeing services, an award-winning pension scheme and much, much more, our colleague reward package keeps on giving. And helps make every day a little better for you and your family. These include but are not limited to: Annual bonus scheme of up to 20% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) Buy holiday salary sacrifice scheme (for salaried roles) Private medical insurance Retirement savings plan - save between 4% and 7.5% and Tesco will match your contribution Life Assurance - 5 x contractual pay 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 4 weeks fully paid paternity leave The right to request flexible working from your first day with us Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing A Colleague Clubcard for you & a family member (after 3 months of service), giving you access to lots of discounts in-store & online Great colleague deals and discounts, saving you money on everyday purchases, eating out and utility bills for the home Access to our colleague networks providing a space for colleagues to come together from a range of backgrounds. For more information about our colleague networks please click here Opportunities to get on - take advantage of our ongoing learning opportunities and award-winning training, to help you achieve the job and career you want Click Here to read more about the full range of benefits we have available for our colleagues About the role At Tesco, our Data Science team focuses on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores, online, supply chain, marketing and Clubcard, where we encourage rotation amongst our Data Scientists so they can gain expertise in different subjects. We work on several domains and problem types: online, pricing, security, fulfilment, distribution, property, IoT and computer vision are just some. Our team members spend 10% of their week on learning and personal development. Multiple academic collaborations enrich the team expertise; knowledge sharing events are regular. Furthermore, we have got a great work-life balance, team days and relaxed but engaging culture. You will be responsible for This is a hands-on position where you will need to leverage your analytical mindset to find solutions to complex problems. As a Data Scientist, you will need to understand difficult business problems and prototype solutions with minimal support. Apply, modify and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop, Spark) is a core component of the role. Our data scientists will need to be able to validate, document and present the modeling process and performances, as well as communicate complex solutions in a clear, understandable way to nonexperts. Data Scientists are also responsible for promoting data science across Tesco and promote Tesco across the external Data Science community. You will need to use your skills in computer vision and deep learning to build proof of concepts as well production solutions, making your contribution to develop and deploy Computer Vision solutions across Tesco's environment. You will have the opportunity to get grow, improve your skills while working with an expert team, as well as mentor and upskill team members. The Tesco Data Science career framework will give you the possibility to grow within the team and the company, as an individual contributor or as a manager. You will need We are looking for ambitious individuals with around one year experience in computer vision solutions. A mix of statistics and machine learning skills are also welcome. A track record in modifying and designing advanced algorithms and applying them to large real-world data sets is fundamental. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. An advanced education degree in computer vision subjects or a higher degree in a mathematical, scientific, engineering or computer science discipline is preferable, or relevant work experience. Finally, strong programming experience in Python. The ideal candidate would have experience of the following: Deep Learning frameworks:Tensorflow and/or PyTorch Object detection models, e.g. Faster-RCNN, YOLO, EfficientDet, Nvidia models Libraries and tools: OpenCV, scikit-image, SciPy, Pandas, Docker, Git Working knowledge of image processing, and video technology Object tracking (optional) Real-time video processing (optional) About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here . We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.
About Sparta Global Embark on a transformative career journey with Sparta Global, where diversity, innovation, and passion for technology converge. We welcome individuals from all backgrounds, offering not just jobs, but dynamic careers in the tech industry. You'll work alongside enthusiastic professionals, receiving top-tier training and mentorship to hone your skills for success in both public and private sectors. Our commitment to designing impactful careers and coaching future leaders is evident in our over 10 prestigious awards in Learning & Development and Equality, Diversity & Inclusion. As a Top 20 Employer for Social Mobility and a proud B-Corp certified organisation, we're not just advancing careers; we're fostering a more diverse, equitable, and inclusive tech landscape. Join us in shaping the future of technology - where your growth is our mission, and your success, our pride. Apply now to be part of our award-winning team at Sparta Global.? About the Job You'll be designing, building, maintaining, and troubleshooting the data pipelines that enable organizations to store, process, and analyse their data, and ensuring the data is reliable through testing and debugging. Looking for efficiencies and optimising the data pipelines for scalability and performance will be a focus. You'll be handling and working with large sets of structured and unstructured data and will be responsible for ensuring that the data is organized and available for data scientists and analysts to use. Working with others is key, you could be working with other engineers, developers, data scientists, analysts and even stakeholders to understand their data needs. We're not expecting you to be an expert right away - that's where our award-winning Academy comes in. We're experts in building skills and confidence in a fun and supportive environment that will not only challenge you, but help you develop into a confident and capable consultant ready to be placed with a client in London.? What we're looking for. To be successful for this role you will demonstrate a level of ability in Python, C#, Java or similar. You will be passionate about technology and eager to learn programme development to an advanced level. We're seeking candidates who can exemplify our values: Empathy and Diversity: Integrity, respect, and a commitment to inclusivity. Drive: A goal-oriented mindset with pride in exceeding targets. Collaboration: A team-focused approach, fostering positive relationships. Innovation: Curiosity, creativity, and openness to diverse ideas. Flexibility: Adaptability and composure in the face of change.? We encourage applications from diverse backgrounds and experience levels. Eligibility to work in the UK by the start of employment is mandatory.? Why you should apply:? Our environment is designed to nurture your talents and skills, your hard work and progress are not just appreciated - they're tangibly rewarded. We conduct performance-based reviews every six months, offering you the chance to increase your earning potential twice a year. This regular appraisal system is our way of ensuring that your efforts and achievements are consistently recognised and rewarded.? We also provide:? 20 days annual leave + bank holidays. An extra day off for your birthday.? Pension. Discounted gym membership.? Eye care. Death in service cover. Cycle to work scheme. Season ticket loan.? Employee assistance program. Yearly budget for personal development. Access to alumni and community networks. Opportunities to be brand ambassadors. Being employed by Sparta Global is an investment in your future that pays dividends along the way. We give you breadth of experience and skills, along with increasing opportunities to develop further and earn more. No two career paths look the same at Sparta. Our Recruitment Process:? Begin your journey via our supportive recruitment process. Apply online and our team will promptly review your application, contacting successful candidates within 48 hours to initiate the next steps. If you pass our initial screening, candidates will proceed to online assessments which vary depending on the opportunity you are applying for. The final stage is a competency interview, here you'll have the opportunity to impress us with your ability to communicate effectively and exhibit behavioural competencies through relevant examples. We're looking for candidates who can demonstrate a collaborative spirit and a growth mindset. Your dedicated Talent Team member will be with you every step of the way to support and answer any questions you have. You can also visit our YouTube channel to gain valuable insights and expert advice on virtual interviews, strategies to manage nerves, and tips on nonverbal communication. We look forward to receiving your application - good luck!
Mar 23, 2024
Full time
About Sparta Global Embark on a transformative career journey with Sparta Global, where diversity, innovation, and passion for technology converge. We welcome individuals from all backgrounds, offering not just jobs, but dynamic careers in the tech industry. You'll work alongside enthusiastic professionals, receiving top-tier training and mentorship to hone your skills for success in both public and private sectors. Our commitment to designing impactful careers and coaching future leaders is evident in our over 10 prestigious awards in Learning & Development and Equality, Diversity & Inclusion. As a Top 20 Employer for Social Mobility and a proud B-Corp certified organisation, we're not just advancing careers; we're fostering a more diverse, equitable, and inclusive tech landscape. Join us in shaping the future of technology - where your growth is our mission, and your success, our pride. Apply now to be part of our award-winning team at Sparta Global.? About the Job You'll be designing, building, maintaining, and troubleshooting the data pipelines that enable organizations to store, process, and analyse their data, and ensuring the data is reliable through testing and debugging. Looking for efficiencies and optimising the data pipelines for scalability and performance will be a focus. You'll be handling and working with large sets of structured and unstructured data and will be responsible for ensuring that the data is organized and available for data scientists and analysts to use. Working with others is key, you could be working with other engineers, developers, data scientists, analysts and even stakeholders to understand their data needs. We're not expecting you to be an expert right away - that's where our award-winning Academy comes in. We're experts in building skills and confidence in a fun and supportive environment that will not only challenge you, but help you develop into a confident and capable consultant ready to be placed with a client in London.? What we're looking for. To be successful for this role you will demonstrate a level of ability in Python, C#, Java or similar. You will be passionate about technology and eager to learn programme development to an advanced level. We're seeking candidates who can exemplify our values: Empathy and Diversity: Integrity, respect, and a commitment to inclusivity. Drive: A goal-oriented mindset with pride in exceeding targets. Collaboration: A team-focused approach, fostering positive relationships. Innovation: Curiosity, creativity, and openness to diverse ideas. Flexibility: Adaptability and composure in the face of change.? We encourage applications from diverse backgrounds and experience levels. Eligibility to work in the UK by the start of employment is mandatory.? Why you should apply:? Our environment is designed to nurture your talents and skills, your hard work and progress are not just appreciated - they're tangibly rewarded. We conduct performance-based reviews every six months, offering you the chance to increase your earning potential twice a year. This regular appraisal system is our way of ensuring that your efforts and achievements are consistently recognised and rewarded.? We also provide:? 20 days annual leave + bank holidays. An extra day off for your birthday.? Pension. Discounted gym membership.? Eye care. Death in service cover. Cycle to work scheme. Season ticket loan.? Employee assistance program. Yearly budget for personal development. Access to alumni and community networks. Opportunities to be brand ambassadors. Being employed by Sparta Global is an investment in your future that pays dividends along the way. We give you breadth of experience and skills, along with increasing opportunities to develop further and earn more. No two career paths look the same at Sparta. Our Recruitment Process:? Begin your journey via our supportive recruitment process. Apply online and our team will promptly review your application, contacting successful candidates within 48 hours to initiate the next steps. If you pass our initial screening, candidates will proceed to online assessments which vary depending on the opportunity you are applying for. The final stage is a competency interview, here you'll have the opportunity to impress us with your ability to communicate effectively and exhibit behavioural competencies through relevant examples. We're looking for candidates who can demonstrate a collaborative spirit and a growth mindset. Your dedicated Talent Team member will be with you every step of the way to support and answer any questions you have. You can also visit our YouTube channel to gain valuable insights and expert advice on virtual interviews, strategies to manage nerves, and tips on nonverbal communication. We look forward to receiving your application - good luck!
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Tuesday 2nd April 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day of for your birthday off if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
Mar 19, 2024
Full time
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Tuesday 2nd April 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day of for your birthday off if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Tuesday 2nd April 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day of for your birthday off if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
Mar 19, 2024
Full time
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Tuesday 2nd April 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day of for your birthday off if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
Software Engineer (Python, C++) Oldham, Manchester £40,000-£45,000 + Holiday + Workplace Pension scheme + flexible working hours + Additional benefits Fantastic opportunity for a mathematical software engineer who has experience with Python and C++ to join an award winning and market leading company. This company develops cutting edge software for various sectors such as retail and banking. Due to recent successes, the company is looking for an experienced software developer with a broad range of coding skills to join their fast paced, global team. In this role you will implement algorithms designed by their team of Data Scientists into already established and new pipelines. The ideal candidate will be an experienced software engineer, who is fluent in programming languages such as Python and C++. This is an excellent opportunity to play a key technical role in a company that delivers innovative products and services. The Role: * Writing and working new backend software to ensure optimal performance of ITL algorithms * Working with Web development engineer on front end optimisations * Turn algorithms into performant and reliable services The Person: * Experience developing solutions with C++ and Python * Sound understanding of Statistics and Maths (A-level Maths minimum) * Experience with software infrastructure Reference Number: BBBH133989
Jan 08, 2022
Full time
Software Engineer (Python, C++) Oldham, Manchester £40,000-£45,000 + Holiday + Workplace Pension scheme + flexible working hours + Additional benefits Fantastic opportunity for a mathematical software engineer who has experience with Python and C++ to join an award winning and market leading company. This company develops cutting edge software for various sectors such as retail and banking. Due to recent successes, the company is looking for an experienced software developer with a broad range of coding skills to join their fast paced, global team. In this role you will implement algorithms designed by their team of Data Scientists into already established and new pipelines. The ideal candidate will be an experienced software engineer, who is fluent in programming languages such as Python and C++. This is an excellent opportunity to play a key technical role in a company that delivers innovative products and services. The Role: * Writing and working new backend software to ensure optimal performance of ITL algorithms * Working with Web development engineer on front end optimisations * Turn algorithms into performant and reliable services The Person: * Experience developing solutions with C++ and Python * Sound understanding of Statistics and Maths (A-level Maths minimum) * Experience with software infrastructure Reference Number: BBBH133989