Location
Dstl Porton Down, Salisbury, Wiltshire, SP4 0JQ or Dstl Portsdown West, Fareham, Hampshire, PO17 6AD
About the job
Job summary
Dstl is the science and technology arm of the Ministry of Defence. We improve the front-line capability of the UK Armed Forces helping keep our country safe.
The Cyber Security and Safety Group has never been more important. Many military platforms such as fast jets, unmanned air vehicles, helicopters, naval vessels, and land vehicles are becoming increasingly reliant on Software, Artificial Intelligence (AI) and Autonomous functions to control all aspects of their behaviour.
We’re looking for mathematically strong data scientists to help make AI reliant military systems robust and trustworthy in complex operations to help save lives.
An example of our world class inspiring work is designing and trialling a variety of autonomous air and ground vehicles out in Salisbury plain with the US and Australia. AI models were retrained in flight to meet changing mission situations to enhance commanders’ decision-making.
You could be involved in:
Assessing and improving AI content in Defence and Security safety critical systems in the Air, Sea and Land domains, to ensure that they are safe, secure and protected.
Applying the latest thinking in verification and validation of artificial intelligence and autonomous functions for defence and security purposes.
Innovating to support the delivery of the UK Cyber Strategy by researching algorithms for Cyber defence.
Dstl recognises the importance of diversity and inclusion as people from diverse backgrounds bring fresh ideas. We are committed to building an inclusive working environment in which each employee fulfils their potential and maximises their contribution.
We particularly welcome female and ethnic minority applicants and those from the LGBTQI community, as they are under-represented within Dstl at these levels.
Job description
In this role you will:
Have a drive for keeping abreast of the latest developments in cyber security and emerging trends in artificial intelligence. We give our people the opportunity to think and innovate. We offer loads of opportunities for training and scholarships, attending and presenting at conferences, and collaborating with internal research and industry and academia.
Work in a team consisting of highly professional Autonomy and Mathematical experts with enviable national and international reputations to take part in cutting edge research. Use your critical thinking and creative problem solving skills to implement state of art methods and tools.
Develop a knowledge of undertaking verification, validation and vulnerability assessments on Systems of interest.
Appreciate the importance of safety, security requirements to have a positive impact on defence and security of the UK.
Deliver technical reports and recommendations to leadership, senior officials across government and military and other non-technical audiences through clear data storytelling and well-crafted verbal presentations
Person specification
We are looking for someone who has:
A keen interest in algorithms, AI, ML or statistical analysis along with a willingness to develop additional capabilities in cyber security and safety.
Experience contributing to Software or AI / ML intensive projects.
Is looking for a career with a difference, doing a job that provides the latest and most effective tools to defend our nation and uphold the principle of freedom.
Important Information:
Our work in defence, security and intelligence requires our employees to be UK Nationals who are able to gain a high level of security clearance to undertake the projects we are involved in to protect us from security threats. For this reason, only UK Nationals will be able to apply for this role. If you are an international or dual-national candidate, and you think you have the skills we need, please consider applying to any of our government, security or defence partners.
This role will require full UK security clearance and you should have resided in the UK for the past 5 years. For some roles Developed Vetting will also be required, in this case you should have resided in the UK for the past 10 years.
Behaviours
We'll assess you against these behaviours during the selection process:
Changing and Improving
Communicating and Influencing
Seeing the Big Picture
Working Together
Benefits
Benefits
Dstl’s full range of great benefits can be found in the information pack which includes:
Financial : An excellent pension scheme starting from 26% employer contribution ( find out more here ). In Year Rewarding Achievement bonuses and thank you vouchers. Rental deposit scheme and cycle to work scheme.
Flexible working : Options include alternative working patterns such as; compressed hours (e.g. working a 4 day week/ 9 day fortnight), job shares and annualised hours (agreed number of hours per annum paid monthly i.e. working term-time only).
Working hours: Flexibility around your working day (e.g. start time, finish time). Ability to bank hours in a 12 month reference period including the ability to accrue and use 3 days per calendar month.
Where you work: Depending on your role, blended working may be available including remote working to suit you and your team. This can be discussed at interview.
Annual leave: 25 days pro rata (rising to 30 after 5 years) plus 8 public holidays with the ability to buy/sell 5 additional days per annum.
Family: Maternity, adoption or shared parental leave of up to 26 weeks with full pay, an additional 13 weeks statutory pay and a further 13 weeks unpaid
Learning and Development: Dstl encourages and supports charterships, accreditations and provides employees access to fully funded apprenticeships up to level 7 (Masters Degree). Dstl will pay for 2 memberships with relevant bodies/institutions. Employees also have access to Civil Service Learning.
Facilities: Onsite parking, EV Charging points, restaurants, cafés and gyms.
Things you need to know
Selection process details
This vacancy is using Success Profiles (opens in a new window) , and will assess your Behaviours and Experience.
We want you to have your best chance of success in our recruitment process, so If at any stage of the application process you would like help or assistance please contact the Dstl Recruitment Team dstlrecruitment@dstl.gov.uk and we will do all we can to support you.
Sifting will be taking place bi-weekly throughout the campaign, successful applicants will be invited to attend an online interview via MS Teams.
Feedback will only be provided if you attend an interview or assessment.
Security
Successful candidates must undergo a criminal record check. Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check (opens in a new window) . See our vetting charter (opens in a new window) . People working with government assets must complete baseline personnel security standard (opens in new window) checks.
Nationality requirements
Open to UK nationals only. This job is not open to candidates who hold a dual nationality.
Working for the Civil Service
The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window) . The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.
Apply and further information
This vacancy is part of the Great Place to Work for Veterans (opens in a new window) initiative. Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.
Contact point for applicants
Job contact :
Name : Dstl Recruitment
Email : dstlrecruitment@dstl.gov.uk
Recruitment team
Email : dstlrecruitment@dstl.gov.uk
Further information
Should you wish to raise a formal complaint about the Dstl recruitment process you should email dstlrecruitment@dstl.gov.uk stating the nature of the issue. We will respond within 5 working days.
Attachments
20230626_CSAS_Data_Scientist_Autonomy_Dependability_L5 Opens in new window (docx, 66kB) Candidate_info_pack_CIS - 20220824 Opens in new window (pdf, 1378kB)
Jul 03, 2023
Full time
Location
Dstl Porton Down, Salisbury, Wiltshire, SP4 0JQ or Dstl Portsdown West, Fareham, Hampshire, PO17 6AD
About the job
Job summary
Dstl is the science and technology arm of the Ministry of Defence. We improve the front-line capability of the UK Armed Forces helping keep our country safe.
The Cyber Security and Safety Group has never been more important. Many military platforms such as fast jets, unmanned air vehicles, helicopters, naval vessels, and land vehicles are becoming increasingly reliant on Software, Artificial Intelligence (AI) and Autonomous functions to control all aspects of their behaviour.
We’re looking for mathematically strong data scientists to help make AI reliant military systems robust and trustworthy in complex operations to help save lives.
An example of our world class inspiring work is designing and trialling a variety of autonomous air and ground vehicles out in Salisbury plain with the US and Australia. AI models were retrained in flight to meet changing mission situations to enhance commanders’ decision-making.
You could be involved in:
Assessing and improving AI content in Defence and Security safety critical systems in the Air, Sea and Land domains, to ensure that they are safe, secure and protected.
Applying the latest thinking in verification and validation of artificial intelligence and autonomous functions for defence and security purposes.
Innovating to support the delivery of the UK Cyber Strategy by researching algorithms for Cyber defence.
Dstl recognises the importance of diversity and inclusion as people from diverse backgrounds bring fresh ideas. We are committed to building an inclusive working environment in which each employee fulfils their potential and maximises their contribution.
We particularly welcome female and ethnic minority applicants and those from the LGBTQI community, as they are under-represented within Dstl at these levels.
Job description
In this role you will:
Have a drive for keeping abreast of the latest developments in cyber security and emerging trends in artificial intelligence. We give our people the opportunity to think and innovate. We offer loads of opportunities for training and scholarships, attending and presenting at conferences, and collaborating with internal research and industry and academia.
Work in a team consisting of highly professional Autonomy and Mathematical experts with enviable national and international reputations to take part in cutting edge research. Use your critical thinking and creative problem solving skills to implement state of art methods and tools.
Develop a knowledge of undertaking verification, validation and vulnerability assessments on Systems of interest.
Appreciate the importance of safety, security requirements to have a positive impact on defence and security of the UK.
Deliver technical reports and recommendations to leadership, senior officials across government and military and other non-technical audiences through clear data storytelling and well-crafted verbal presentations
Person specification
We are looking for someone who has:
A keen interest in algorithms, AI, ML or statistical analysis along with a willingness to develop additional capabilities in cyber security and safety.
Experience contributing to Software or AI / ML intensive projects.
Is looking for a career with a difference, doing a job that provides the latest and most effective tools to defend our nation and uphold the principle of freedom.
Important Information:
Our work in defence, security and intelligence requires our employees to be UK Nationals who are able to gain a high level of security clearance to undertake the projects we are involved in to protect us from security threats. For this reason, only UK Nationals will be able to apply for this role. If you are an international or dual-national candidate, and you think you have the skills we need, please consider applying to any of our government, security or defence partners.
This role will require full UK security clearance and you should have resided in the UK for the past 5 years. For some roles Developed Vetting will also be required, in this case you should have resided in the UK for the past 10 years.
Behaviours
We'll assess you against these behaviours during the selection process:
Changing and Improving
Communicating and Influencing
Seeing the Big Picture
Working Together
Benefits
Benefits
Dstl’s full range of great benefits can be found in the information pack which includes:
Financial : An excellent pension scheme starting from 26% employer contribution ( find out more here ). In Year Rewarding Achievement bonuses and thank you vouchers. Rental deposit scheme and cycle to work scheme.
Flexible working : Options include alternative working patterns such as; compressed hours (e.g. working a 4 day week/ 9 day fortnight), job shares and annualised hours (agreed number of hours per annum paid monthly i.e. working term-time only).
Working hours: Flexibility around your working day (e.g. start time, finish time). Ability to bank hours in a 12 month reference period including the ability to accrue and use 3 days per calendar month.
Where you work: Depending on your role, blended working may be available including remote working to suit you and your team. This can be discussed at interview.
Annual leave: 25 days pro rata (rising to 30 after 5 years) plus 8 public holidays with the ability to buy/sell 5 additional days per annum.
Family: Maternity, adoption or shared parental leave of up to 26 weeks with full pay, an additional 13 weeks statutory pay and a further 13 weeks unpaid
Learning and Development: Dstl encourages and supports charterships, accreditations and provides employees access to fully funded apprenticeships up to level 7 (Masters Degree). Dstl will pay for 2 memberships with relevant bodies/institutions. Employees also have access to Civil Service Learning.
Facilities: Onsite parking, EV Charging points, restaurants, cafés and gyms.
Things you need to know
Selection process details
This vacancy is using Success Profiles (opens in a new window) , and will assess your Behaviours and Experience.
We want you to have your best chance of success in our recruitment process, so If at any stage of the application process you would like help or assistance please contact the Dstl Recruitment Team dstlrecruitment@dstl.gov.uk and we will do all we can to support you.
Sifting will be taking place bi-weekly throughout the campaign, successful applicants will be invited to attend an online interview via MS Teams.
Feedback will only be provided if you attend an interview or assessment.
Security
Successful candidates must undergo a criminal record check. Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check (opens in a new window) . See our vetting charter (opens in a new window) . People working with government assets must complete baseline personnel security standard (opens in new window) checks.
Nationality requirements
Open to UK nationals only. This job is not open to candidates who hold a dual nationality.
Working for the Civil Service
The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window) . The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.
Apply and further information
This vacancy is part of the Great Place to Work for Veterans (opens in a new window) initiative. Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.
Contact point for applicants
Job contact :
Name : Dstl Recruitment
Email : dstlrecruitment@dstl.gov.uk
Recruitment team
Email : dstlrecruitment@dstl.gov.uk
Further information
Should you wish to raise a formal complaint about the Dstl recruitment process you should email dstlrecruitment@dstl.gov.uk stating the nature of the issue. We will respond within 5 working days.
Attachments
20230626_CSAS_Data_Scientist_Autonomy_Dependability_L5 Opens in new window (docx, 66kB) Candidate_info_pack_CIS - 20220824 Opens in new window (pdf, 1378kB)
Senior Data Scientist Gloucester/ Stroud/ Cheltenham/ Senior Data Scientist/ Hybrid/ Machine Learning/ SQL/ Python/ £45,000 - £50,000 - Depending on experience level Our client is hiring for a new Data Scientist. To be suitable for this position, you MUST have Front-end development and Machine Learning experience. Coming from an Engineering industry background would also be a big advantage. General duties: Extract and manipulate data from existing SQL data stores such as PostgreSQL and SQL Server Develop advanced machine learning models in Python, focussing on: image processing; Natural Language Processing; and standard ML models such as regression models, random forests, clustering etc. Help to mentor Junior members of the team, helping to maintain best practices within the business Develop and implement advanced machine learning models to solve complex problems for the business Responsibilities: Have detailed knowledge and real experience on a range of AI techniques (e.g., supervised, and unsupervised machine learning techniques, deep learning, graph data science and analytics, statistical analysis, time series, geospatial data, etc.). Knowledge of SQL for accessing and processing data. PostgreSQL is preferred, but general SQL knowledge is more desirable Extensive Natural Language Processing experience, including text classification, topic modelling, named entity extraction, relationship extraction and text summarisation. Will ideally be familiar with standard NLP tools and frameworks, including Stanford's Stanza, Spacy, NLTK, BERT, GLOVE, Spark NLP etc A degree in a quantitative discipline (e.g., Data Science, Mathematics, Statistics, Computer Science, Physics etc.) Collaborate with team members along with communicating to the relevant stakeholders on technical matters Gloucester/ Stroud/ Cheltenham/ Senior Data Scientist/ Hybrid/ Machine Learning/ SQL/ Python/ £45,000 - £50,000 - Depending on experience level Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Mar 28, 2024
Full time
Senior Data Scientist Gloucester/ Stroud/ Cheltenham/ Senior Data Scientist/ Hybrid/ Machine Learning/ SQL/ Python/ £45,000 - £50,000 - Depending on experience level Our client is hiring for a new Data Scientist. To be suitable for this position, you MUST have Front-end development and Machine Learning experience. Coming from an Engineering industry background would also be a big advantage. General duties: Extract and manipulate data from existing SQL data stores such as PostgreSQL and SQL Server Develop advanced machine learning models in Python, focussing on: image processing; Natural Language Processing; and standard ML models such as regression models, random forests, clustering etc. Help to mentor Junior members of the team, helping to maintain best practices within the business Develop and implement advanced machine learning models to solve complex problems for the business Responsibilities: Have detailed knowledge and real experience on a range of AI techniques (e.g., supervised, and unsupervised machine learning techniques, deep learning, graph data science and analytics, statistical analysis, time series, geospatial data, etc.). Knowledge of SQL for accessing and processing data. PostgreSQL is preferred, but general SQL knowledge is more desirable Extensive Natural Language Processing experience, including text classification, topic modelling, named entity extraction, relationship extraction and text summarisation. Will ideally be familiar with standard NLP tools and frameworks, including Stanford's Stanza, Spacy, NLTK, BERT, GLOVE, Spark NLP etc A degree in a quantitative discipline (e.g., Data Science, Mathematics, Statistics, Computer Science, Physics etc.) Collaborate with team members along with communicating to the relevant stakeholders on technical matters Gloucester/ Stroud/ Cheltenham/ Senior Data Scientist/ Hybrid/ Machine Learning/ SQL/ Python/ £45,000 - £50,000 - Depending on experience level Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Experienced Data Scientist Wanted Revolutionize the insurance landscape and contribute to tangible change Join an inventive technology enterprise revolutionizing and democratizing the insurance sector through cutting-edge data utilization. Be an integral member of a dynamic cross-functional team, utilizing data-centric insights to shape strategic roadmaps. Receive an appealing compensation package while continuously enhancing your skills with a personalized learning budget and a clear career progression path. I'm collaborating with a forward-thinking InsurTech firm reshaping the insurance landscape with data. Having already enhanced the lives of numerous customers, they're gearing up for more groundbreaking product and service launches across diverse sectors. They're scripting an exciting new chapter and are seeking an additional Senior Data Scientist to join and play a pivotal role in this narrative. What you'll be doing As a member of the Data Science team, you'll spearhead impactful initiatives within a core customer data domain while contributing your expertise to projects in other sectors. Operating within a dynamic cross-functional team, you'll establish yourself as an authority in your field, influencing the roadmap with data-driven insights. Your key responsibilities involve steering growth and strategic decisions through data and analytics, championing the application of data science, and solidifying a data-driven approach within the team. Crucially, you'll take ownership of machine learning use cases from conceptualization to deployment and iteration, launching predictive models on their platform, fostering automation, and gaining profound insights into customer behaviours. What experience you'll need to apply An MSc or PhD in a data-focused field like Computer Science, Statistics, or Data Science. Exceptional SQL skills and preferably experience with DBT. Proven expertise in developing and deploying end-to-end Machine Learning models for business challenges. Cloud experience with AWS, Azure, or GCP. Effective communication skills for seamless collaboration across diverse technical levels. Prior experience in a high-growth environment. What you'll get in return for your experience The compensation for this role ranges from £75,000 to £95,000 (dependent on experience), along with a host of fantastic benefits. These include a cutting-edge office in central London, a flexible work policy allowing a split between office and home, a competitive bonus scheme, a flexible benefits budget for personal use, a dedicated budget for learning and development, including 2 dedicated days for personal growth, private healthcare, 33 days holiday (inclusive of bank holidays), team and company-wide social events, and much more! What's next? Ready to elevate your career? Apply for this role, and Alex will reach out if your application is successful.
Mar 28, 2024
Full time
Experienced Data Scientist Wanted Revolutionize the insurance landscape and contribute to tangible change Join an inventive technology enterprise revolutionizing and democratizing the insurance sector through cutting-edge data utilization. Be an integral member of a dynamic cross-functional team, utilizing data-centric insights to shape strategic roadmaps. Receive an appealing compensation package while continuously enhancing your skills with a personalized learning budget and a clear career progression path. I'm collaborating with a forward-thinking InsurTech firm reshaping the insurance landscape with data. Having already enhanced the lives of numerous customers, they're gearing up for more groundbreaking product and service launches across diverse sectors. They're scripting an exciting new chapter and are seeking an additional Senior Data Scientist to join and play a pivotal role in this narrative. What you'll be doing As a member of the Data Science team, you'll spearhead impactful initiatives within a core customer data domain while contributing your expertise to projects in other sectors. Operating within a dynamic cross-functional team, you'll establish yourself as an authority in your field, influencing the roadmap with data-driven insights. Your key responsibilities involve steering growth and strategic decisions through data and analytics, championing the application of data science, and solidifying a data-driven approach within the team. Crucially, you'll take ownership of machine learning use cases from conceptualization to deployment and iteration, launching predictive models on their platform, fostering automation, and gaining profound insights into customer behaviours. What experience you'll need to apply An MSc or PhD in a data-focused field like Computer Science, Statistics, or Data Science. Exceptional SQL skills and preferably experience with DBT. Proven expertise in developing and deploying end-to-end Machine Learning models for business challenges. Cloud experience with AWS, Azure, or GCP. Effective communication skills for seamless collaboration across diverse technical levels. Prior experience in a high-growth environment. What you'll get in return for your experience The compensation for this role ranges from £75,000 to £95,000 (dependent on experience), along with a host of fantastic benefits. These include a cutting-edge office in central London, a flexible work policy allowing a split between office and home, a competitive bonus scheme, a flexible benefits budget for personal use, a dedicated budget for learning and development, including 2 dedicated days for personal growth, private healthcare, 33 days holiday (inclusive of bank holidays), team and company-wide social events, and much more! What's next? Ready to elevate your career? Apply for this role, and Alex will reach out if your application is successful.
UX Developer (React Native) Banking Hybrid: 2 days per week in London 6 months+ £600 per day In short: UX Designer with front end development skills ie React Native OR React Developer with UX skills required to join a large retail bank in building prototypes for an online banking app. In full: We're looking for an experienced UX Developer to join our Personalised Experiences and Communications design team. This is a unique opportunity to define and enhance the journeys in which we engage and build relationships with our customers, while supporting them with the right products, tools and services to meet their needs. The experiences we craft are essential to supporting our customers to get the most from their online and mobile banking, and we're bold in our aims. We need someone who can work effectively with product owners, business analysts, behavioural scientists and fellow designers to take ideas from concept to reality. Role Description As a UX Developer you'll build prototypes that bring concepts to life which mirror the experience of our production apps, whether that's helping colleagues see and feel an opportunity, building something engaging to use in customer research or refining a micro-interaction that makes all the difference to a customer's experience. If you're an Interaction Designer or a Visual Designer with some experience of React / React Native we'd welcome your application. We're keen to hire someone with the right values and behaviours, as well as a talent in delivering great customer outcomes. Here are some of the behaviours we'd love to see: Highly motivated, proactive and driven to achieve individual and collective goals; you cultivate an environment that encourages innovation and continuous improvement. You're able to put the customer at the centre of all that we do and champion an environment of customer-first thinking. Empathetic, and engaging; you enjoy building relationships and finding opportunities to bring people together. You're credible in front of audiences of all levels, providing healthy challenge where appropriate. You're calm and resilient under pressure, proactively identifying new/potential opportunities and adaptable to emerging priorities. Solves problems in new ways, bringing others with you and encouraging their input. Outstanding at communicating ideas, issues and implications to senior, technical and non-technical audiences. Specific responsibilities of the role include: Working effectively and expertly as part of agile teams to help uncover priorities and visualise outcomes, incorporating multiple perspectives in the definition of solutions. Collaborating closely with a data and research led team, using evidence to support and craft your ideas. Working with React / React Native to rapidly produce web and native prototypes. Working with Figma, our Visual Design and collaboration tool of choice (the ability to create prototypes in Figma is a bonus) Being the voice to help bridge and optimise the design to developer workflow. Contributing to working best practices with fellow UX Developers across the business to help shape the future of prototyping at the bank Create prototypes which optimise journeys. Leading others to make good design decisions, bringing the user perspective to the forefront and challenging conventional norms. Being an active member of the design community to share knowledge, create ideas, and embed principles of design across a range of product, service, and customer journeys. Passion for developing the User Experience from idea into a product customers can interact with Experience in a range of research and design methods, including at least some of the following, is critical: Solid understanding of JavaScript & React / React Native High proficiency with HTML/CSS (any flavour of CSS is good with us) A confident voice on both user experience and technical topics Suggests the best tool, technology, or method to validate ideas and hypotheses. Good understanding of User Centred Design and Agile workflows Candidates will ideally show evidence of the above in their CV in order to be considered.Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon is an employment consultancy and operates as an equal opportunities employer.
Mar 28, 2024
Full time
UX Developer (React Native) Banking Hybrid: 2 days per week in London 6 months+ £600 per day In short: UX Designer with front end development skills ie React Native OR React Developer with UX skills required to join a large retail bank in building prototypes for an online banking app. In full: We're looking for an experienced UX Developer to join our Personalised Experiences and Communications design team. This is a unique opportunity to define and enhance the journeys in which we engage and build relationships with our customers, while supporting them with the right products, tools and services to meet their needs. The experiences we craft are essential to supporting our customers to get the most from their online and mobile banking, and we're bold in our aims. We need someone who can work effectively with product owners, business analysts, behavioural scientists and fellow designers to take ideas from concept to reality. Role Description As a UX Developer you'll build prototypes that bring concepts to life which mirror the experience of our production apps, whether that's helping colleagues see and feel an opportunity, building something engaging to use in customer research or refining a micro-interaction that makes all the difference to a customer's experience. If you're an Interaction Designer or a Visual Designer with some experience of React / React Native we'd welcome your application. We're keen to hire someone with the right values and behaviours, as well as a talent in delivering great customer outcomes. Here are some of the behaviours we'd love to see: Highly motivated, proactive and driven to achieve individual and collective goals; you cultivate an environment that encourages innovation and continuous improvement. You're able to put the customer at the centre of all that we do and champion an environment of customer-first thinking. Empathetic, and engaging; you enjoy building relationships and finding opportunities to bring people together. You're credible in front of audiences of all levels, providing healthy challenge where appropriate. You're calm and resilient under pressure, proactively identifying new/potential opportunities and adaptable to emerging priorities. Solves problems in new ways, bringing others with you and encouraging their input. Outstanding at communicating ideas, issues and implications to senior, technical and non-technical audiences. Specific responsibilities of the role include: Working effectively and expertly as part of agile teams to help uncover priorities and visualise outcomes, incorporating multiple perspectives in the definition of solutions. Collaborating closely with a data and research led team, using evidence to support and craft your ideas. Working with React / React Native to rapidly produce web and native prototypes. Working with Figma, our Visual Design and collaboration tool of choice (the ability to create prototypes in Figma is a bonus) Being the voice to help bridge and optimise the design to developer workflow. Contributing to working best practices with fellow UX Developers across the business to help shape the future of prototyping at the bank Create prototypes which optimise journeys. Leading others to make good design decisions, bringing the user perspective to the forefront and challenging conventional norms. Being an active member of the design community to share knowledge, create ideas, and embed principles of design across a range of product, service, and customer journeys. Passion for developing the User Experience from idea into a product customers can interact with Experience in a range of research and design methods, including at least some of the following, is critical: Solid understanding of JavaScript & React / React Native High proficiency with HTML/CSS (any flavour of CSS is good with us) A confident voice on both user experience and technical topics Suggests the best tool, technology, or method to validate ideas and hypotheses. Good understanding of User Centred Design and Agile workflows Candidates will ideally show evidence of the above in their CV in order to be considered.Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon is an employment consultancy and operates as an equal opportunities employer.
The Impact You'll Make With treatments for hundreds of diseases in our sights, we've built a data science team with domain expertise in computer science, bioinformatics, physics, biology, mathematics, applied statistics, and more. We work side-by-side with biologists, automation scientists, chemists, software engineers, and many others; together, we develop the tools and methods to turn our experimental data into treatments for pathologies that affect the lives of countless individuals. As a data scientist supporting the development of our industrialized workflows, you'll work with a highly dynamic team that is focused on improving how we move from ideation through to advanced candidate drugs in a way that accelerates decision-making and automates as much as possible to scale the impact that we can have. You'll have access to unbelievable scales of data: we currently run up to 2.2 million experiments run each week, our ground-breaking Phenom-1 foundation model, trained on > 1 billion in-house images, and our maps of biology and chemistry that contain > 5 trillion relationships across multiple biological and chemical contexts. In this role, you will leverage this data as you: Partner with chemists and biologists to understand their processes and the questions that they are asking at each stage of the drug discovery funnel Contribute to the development of LOWE, a natural language interface that connects wet- and dry-lab components of the Recursion OS to streamline drug-discovery tasks Develop methods, metrics, benchmarks, and models to help drive drug discovery in a standardized way. Convert exploratory analysis into production-quality functions that can be incorporated into in-house Python packages and that support at-scale generation of data packages to accelerate decisions on passing programs through internal stage gates. Create and analyze enormous sets of connected data for a variety of programs to learn how best to advance drug discovery in an industrialized way Collaborate with engineering teams to mature your models and analyses and put them into productionized flows Deliver quickly and iteratively, both supporting in-flight programs and building improvements for the long-term in short-lived, agile workstreams Learn to leverage new code packages and data science techniques as needed Location: Making London your home base is ideal, however, we will consider on-site work in our Salt Lake City, Utah or Toronto, Ontario offices as well. The Team You'll Join We are an application-oriented group whose goal is to discover drugs at scale, using the toolkit of computational science in collaboration with our counterparts in other engineering (software and data engineering, laboratory automation), scientific (biology, chemistry, clinical science), and operational (laboratory operations, regulatory affairs) disciplines. We are value-driving - data science at Recursion is not just an accelerating function; it is a core part of our value proposition. As data scientists, we are responsible for showing up as leaders and visionaries, helping to shape how Recursion delivers on our mission. We work on what matters and deliver in timescales of weeks not quarters. We focus on the impact that we are trying to make and the "why" of what we are trying to deliver and are resilient if the "how" of what we are doing needs to change. The Experience You'll Need 3-5+ years practical experience applying probability, statistics, and machine learning to real-world datasets in service of academic or business applications and recommendations. Strong preference for experience in the field of biosciences (particularly pharmaceuticals) or working on projects that require regular cross-disciplinary collaboration. Experience working within a fast-paced interdisciplinary team to solve business-relevant problems and communicating complex concepts and methods to audiences with diverse technical backgrounds. High fluency with the Python data stack (numpy, pandas, scikit-learn, etc). Experience in collaborative data product development and peer code review, including version control tools like git. Experience developing, releasing, and maintaining data products in a continuous-use production environment. Nice to have: experience in creating compelling visualizations of high-dimensional data that enable clear decision-making and interpretation, prompt engineering for LLMs, cheminformatics, OR analysis of RNA sequencing data. How You'll be Supported You will be assigned a peer trail guide to support you as you onboard and get familiar with Recursion systems Receive real-time feedback on code quality and best practices from a team of peers Ability to participate and learn from your colleagues in our regular all-hands, journal club & tech talks for Data Science Option to attend conferences to learn more from colleagues, networks, and more to better your skillset
Mar 27, 2024
Full time
The Impact You'll Make With treatments for hundreds of diseases in our sights, we've built a data science team with domain expertise in computer science, bioinformatics, physics, biology, mathematics, applied statistics, and more. We work side-by-side with biologists, automation scientists, chemists, software engineers, and many others; together, we develop the tools and methods to turn our experimental data into treatments for pathologies that affect the lives of countless individuals. As a data scientist supporting the development of our industrialized workflows, you'll work with a highly dynamic team that is focused on improving how we move from ideation through to advanced candidate drugs in a way that accelerates decision-making and automates as much as possible to scale the impact that we can have. You'll have access to unbelievable scales of data: we currently run up to 2.2 million experiments run each week, our ground-breaking Phenom-1 foundation model, trained on > 1 billion in-house images, and our maps of biology and chemistry that contain > 5 trillion relationships across multiple biological and chemical contexts. In this role, you will leverage this data as you: Partner with chemists and biologists to understand their processes and the questions that they are asking at each stage of the drug discovery funnel Contribute to the development of LOWE, a natural language interface that connects wet- and dry-lab components of the Recursion OS to streamline drug-discovery tasks Develop methods, metrics, benchmarks, and models to help drive drug discovery in a standardized way. Convert exploratory analysis into production-quality functions that can be incorporated into in-house Python packages and that support at-scale generation of data packages to accelerate decisions on passing programs through internal stage gates. Create and analyze enormous sets of connected data for a variety of programs to learn how best to advance drug discovery in an industrialized way Collaborate with engineering teams to mature your models and analyses and put them into productionized flows Deliver quickly and iteratively, both supporting in-flight programs and building improvements for the long-term in short-lived, agile workstreams Learn to leverage new code packages and data science techniques as needed Location: Making London your home base is ideal, however, we will consider on-site work in our Salt Lake City, Utah or Toronto, Ontario offices as well. The Team You'll Join We are an application-oriented group whose goal is to discover drugs at scale, using the toolkit of computational science in collaboration with our counterparts in other engineering (software and data engineering, laboratory automation), scientific (biology, chemistry, clinical science), and operational (laboratory operations, regulatory affairs) disciplines. We are value-driving - data science at Recursion is not just an accelerating function; it is a core part of our value proposition. As data scientists, we are responsible for showing up as leaders and visionaries, helping to shape how Recursion delivers on our mission. We work on what matters and deliver in timescales of weeks not quarters. We focus on the impact that we are trying to make and the "why" of what we are trying to deliver and are resilient if the "how" of what we are doing needs to change. The Experience You'll Need 3-5+ years practical experience applying probability, statistics, and machine learning to real-world datasets in service of academic or business applications and recommendations. Strong preference for experience in the field of biosciences (particularly pharmaceuticals) or working on projects that require regular cross-disciplinary collaboration. Experience working within a fast-paced interdisciplinary team to solve business-relevant problems and communicating complex concepts and methods to audiences with diverse technical backgrounds. High fluency with the Python data stack (numpy, pandas, scikit-learn, etc). Experience in collaborative data product development and peer code review, including version control tools like git. Experience developing, releasing, and maintaining data products in a continuous-use production environment. Nice to have: experience in creating compelling visualizations of high-dimensional data that enable clear decision-making and interpretation, prompt engineering for LLMs, cheminformatics, OR analysis of RNA sequencing data. How You'll be Supported You will be assigned a peer trail guide to support you as you onboard and get familiar with Recursion systems Receive real-time feedback on code quality and best practices from a team of peers Ability to participate and learn from your colleagues in our regular all-hands, journal club & tech talks for Data Science Option to attend conferences to learn more from colleagues, networks, and more to better your skillset
JOB DESCRIPTION Financial management tools should demonstrate the same care and craft as consumer software, designed with contemporary user- and human-centered practices. UX Design Leads are core to the transformation of product development at JP Morgan Chase, operating as a peer and partner with Product Management, Engineering and Data Science Teams. Help shape the direction of a multi-year transformation program. As a UX Design Lead you'll be both producing and directing solutions for our internal post-trade ecosystem. Your design, communication and collaboration skills will be critical in this role as you tackle ambiguity in a fast-paced, results-driven environment. As a UX Design Lead, you'll focus on internal-facing applications and will be responsible for delivering innovative design solutions to complex problems in a collaborative environment. Working as a valued member of a multidisciplinary team, you'll work in partnership with our product managers, business stakeholders, data scientists and development teams to shape the direction of our products. Job Responsibilities Work on the internal products and services for Markets Post Trade, part of JP Morgan's Commercial & Investment Bank. Translate complex ideas into understandable concepts that increase the efficiency of teams and reduce the risk of human error. Engage with, and build alignment across different partners and teams. Establish a strong design process with partners. Lead and create end-to-end product and experience design by: Leading research to understand user needs and define opportunities through usability and empathy studies. Createing process and user flows, journey maps and interaction models, resulting into inform low to high fidelity prototypes, artifacts, and tools. Demonstrate Supporting effective storytelling and presentation of visual concepts to various stakeholders. Creating Deliver high-fidelity design assets for acceptance, development, and delivery to market in partnership with technology colleagues. Deliver work that's not only user-friendly, but which also produces results - measuring your work's value by identifying success criteria and performing user validation throughout the design process. Required Qualifications, Capabilities and Skills Bachelor's Degree in relevant design discipline, certification from credible bootcamp or similar accelerated learning program, or equivalent work experience. Minimum of 10 years of relevant work experience. Clear communicator comfortable presenting to senior stakeholders. Be a A problem solver who works best within a collaborative team-focused environment. Be Ccomfortable learning complex financial and regulatory concepts. Be a dDetail-focused, self-starter, comfortable with ambiguity and evolving business requirements. Understand what makes an experience good or bad. You can think through user problems, find reasonable solutions, explain your rationale to multiple roles, mock them up in detail, and work with engineers to build them. Understand and practice the different phases of the user research and design process -validating hypotheses with users, effectively communicating concepts, creating low/high fidelity prototypes. Be comfortable giving and receiving feedback and critique. About Digital Experience Design The Digital Experience Design team (DXD) includes nearly 300 UX and visual designers, service designers, researchers and creative technologists spread across six global locations. As a team, we partner with business, product, and technology stakeholders across the Commercial & Investment Bank to design products and services that drive engagement, increase client satisfaction and delight end users. Learn more about DXD at Diversity by design Our team, our work and the outcomes they produce are driven by diversity. Here, you'll find people from all over the world, valued for the added dimensions their experience, origins, and perspectives bring to the products we deliver. Join us and see for yourself that our commitment to diversity is intentional, essential, and ongoing. It provides the insight and ideas we need to be a better team. And a smarter one, too. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM The Corporate & Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world's most important corporations, governments and institutions entrust us with their business in more than 100 countries. We provide strategic advice, raise capital, manage risk and extend liquidity in markets around the world. The Digital team is dedicated to creating innovative, industry-leading products and experiences that help customers access, share and control their financial data so they can make smart decisions with their money. Teams enable innovation while adhering to the firm's data sharing principles of security, customer control and convenience, and privacy.
Mar 27, 2024
Full time
JOB DESCRIPTION Financial management tools should demonstrate the same care and craft as consumer software, designed with contemporary user- and human-centered practices. UX Design Leads are core to the transformation of product development at JP Morgan Chase, operating as a peer and partner with Product Management, Engineering and Data Science Teams. Help shape the direction of a multi-year transformation program. As a UX Design Lead you'll be both producing and directing solutions for our internal post-trade ecosystem. Your design, communication and collaboration skills will be critical in this role as you tackle ambiguity in a fast-paced, results-driven environment. As a UX Design Lead, you'll focus on internal-facing applications and will be responsible for delivering innovative design solutions to complex problems in a collaborative environment. Working as a valued member of a multidisciplinary team, you'll work in partnership with our product managers, business stakeholders, data scientists and development teams to shape the direction of our products. Job Responsibilities Work on the internal products and services for Markets Post Trade, part of JP Morgan's Commercial & Investment Bank. Translate complex ideas into understandable concepts that increase the efficiency of teams and reduce the risk of human error. Engage with, and build alignment across different partners and teams. Establish a strong design process with partners. Lead and create end-to-end product and experience design by: Leading research to understand user needs and define opportunities through usability and empathy studies. Createing process and user flows, journey maps and interaction models, resulting into inform low to high fidelity prototypes, artifacts, and tools. Demonstrate Supporting effective storytelling and presentation of visual concepts to various stakeholders. Creating Deliver high-fidelity design assets for acceptance, development, and delivery to market in partnership with technology colleagues. Deliver work that's not only user-friendly, but which also produces results - measuring your work's value by identifying success criteria and performing user validation throughout the design process. Required Qualifications, Capabilities and Skills Bachelor's Degree in relevant design discipline, certification from credible bootcamp or similar accelerated learning program, or equivalent work experience. Minimum of 10 years of relevant work experience. Clear communicator comfortable presenting to senior stakeholders. Be a A problem solver who works best within a collaborative team-focused environment. Be Ccomfortable learning complex financial and regulatory concepts. Be a dDetail-focused, self-starter, comfortable with ambiguity and evolving business requirements. Understand what makes an experience good or bad. You can think through user problems, find reasonable solutions, explain your rationale to multiple roles, mock them up in detail, and work with engineers to build them. Understand and practice the different phases of the user research and design process -validating hypotheses with users, effectively communicating concepts, creating low/high fidelity prototypes. Be comfortable giving and receiving feedback and critique. About Digital Experience Design The Digital Experience Design team (DXD) includes nearly 300 UX and visual designers, service designers, researchers and creative technologists spread across six global locations. As a team, we partner with business, product, and technology stakeholders across the Commercial & Investment Bank to design products and services that drive engagement, increase client satisfaction and delight end users. Learn more about DXD at Diversity by design Our team, our work and the outcomes they produce are driven by diversity. Here, you'll find people from all over the world, valued for the added dimensions their experience, origins, and perspectives bring to the products we deliver. Join us and see for yourself that our commitment to diversity is intentional, essential, and ongoing. It provides the insight and ideas we need to be a better team. And a smarter one, too. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM The Corporate & Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world's most important corporations, governments and institutions entrust us with their business in more than 100 countries. We provide strategic advice, raise capital, manage risk and extend liquidity in markets around the world. The Digital team is dedicated to creating innovative, industry-leading products and experiences that help customers access, share and control their financial data so they can make smart decisions with their money. Teams enable innovation while adhering to the firm's data sharing principles of security, customer control and convenience, and privacy.
Senior Data Scientist Location: Hybrid (London) Salary: 70,000 - 85,000 (Per Annum) About 83DATA are partnered with a , who are focused on developing AI Solutions. They work across many industries including Insurance, banking, telecoms and more. They are looking for an experienced Senior Data Scientist to join their growing data science team. The Senior Data Scientist will be responsible for leveraging their advanced data analysis and machine learning skills to solve complex business problems and drive data-driven decision-making within the organisation and those of their clients. Key Responsibilities: Conduct independent (and collaborative) research and development of data science and machine learning models; develop cutting-edge data science and machine learning models that drive business value, leveraging internal and external data sources. Skilled in, and continue to improve upon you knowledge of decision science, communicating data, domain modelling, predictive modelling, advanced analytics, MLOps, Research and AI Ethics with the willingness to up skill others in these competencies. Collaborate with cross-functional teams: work closely with cross-functional teams to apply data science and machine learning models to business problems, ensuring that models are integrated into products and services. Communicate results and impact: communicate results and impact to stakeholders, including technical and non-technical audiences. Mentor junior data scientists: mentor junior data scientists, fostering a culture of continuous improvement and innovation. Requirements: Fluency in Python with experience with at least one cloud provider ( preferably Azure ) Qualified experience in a related field, including, but not limited to, Data Science, Learning & Computer Science. 5+ years of experience in data science and machine learning, with a strong track record independent research and development a plus. Strong technical background, with expertise in a range of machine learning algorithms data science techniques. Strong experience in delivery across the lifecycle of machine learning products, adhering robust software engineering practices. Excellent communication, with the ability to communicate complex data science to technical and non-technical audiences. Strong collaboration skills, with the ability to work effectively with cross-functional teams. Desirable: Experience with GISc (raster & vector-based workflows), graph theory, time series modelling and XAI. Experience in retail, utilities (e.g. water or telco) or financial services industries.
Mar 27, 2024
Full time
Senior Data Scientist Location: Hybrid (London) Salary: 70,000 - 85,000 (Per Annum) About 83DATA are partnered with a , who are focused on developing AI Solutions. They work across many industries including Insurance, banking, telecoms and more. They are looking for an experienced Senior Data Scientist to join their growing data science team. The Senior Data Scientist will be responsible for leveraging their advanced data analysis and machine learning skills to solve complex business problems and drive data-driven decision-making within the organisation and those of their clients. Key Responsibilities: Conduct independent (and collaborative) research and development of data science and machine learning models; develop cutting-edge data science and machine learning models that drive business value, leveraging internal and external data sources. Skilled in, and continue to improve upon you knowledge of decision science, communicating data, domain modelling, predictive modelling, advanced analytics, MLOps, Research and AI Ethics with the willingness to up skill others in these competencies. Collaborate with cross-functional teams: work closely with cross-functional teams to apply data science and machine learning models to business problems, ensuring that models are integrated into products and services. Communicate results and impact: communicate results and impact to stakeholders, including technical and non-technical audiences. Mentor junior data scientists: mentor junior data scientists, fostering a culture of continuous improvement and innovation. Requirements: Fluency in Python with experience with at least one cloud provider ( preferably Azure ) Qualified experience in a related field, including, but not limited to, Data Science, Learning & Computer Science. 5+ years of experience in data science and machine learning, with a strong track record independent research and development a plus. Strong technical background, with expertise in a range of machine learning algorithms data science techniques. Strong experience in delivery across the lifecycle of machine learning products, adhering robust software engineering practices. Excellent communication, with the ability to communicate complex data science to technical and non-technical audiences. Strong collaboration skills, with the ability to work effectively with cross-functional teams. Desirable: Experience with GISc (raster & vector-based workflows), graph theory, time series modelling and XAI. Experience in retail, utilities (e.g. water or telco) or financial services industries.
Site Name: London The Stanley Building Posted Date: Mar At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking a highly skilled and experienced Manager for our Computing Platforms Products. In this role, you will be responsible for developing the product strategy of our Computing Platform to meet customer needs. You will partner closely with Onyx's organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power R&D workloads. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of our Compute platform including the migration of existing GSK applications to the platform. Together, you will facilitate joint planning and execution of the product roadmap, ensuring a balance between strategic development and customer-facing deliverables. You will also play a key role in devising, tracking, and publicizing metrics that measure the impact and performance of Onyx Compute Platform Products. You will be responsible for understanding the business areas using Onyx, Platform capabilities, translating customer needs into requirements aligned with standard frameworks such as ontologies and engineering pipelines, and ensure our R&D teams receive the solutions they need to succeed. In this role you will Product Strategy: Develop and execute a comprehensive product strategy for our AI/ML compute platform, aligning with the Onyx's overall goals and objectives. Roadmap Development: Define and prioritize features, enhancements, and functionalities for the platform based on user analysis, customer feedback, and business requirements. Cross-functional Collaboration: Collaborate closely with engineering, AI/ML, and portfolio/program teams to ensure successful product development and deployment. Stakeholder Engagement: Collaborate with customers, partners, and internal stakeholders to understand their needs, gather feedback, and incorporate it into product planning and development processes. Product Launch: Plan and oversee product launches, ensuring effective communication, documentation, and training to drive product adoption and success. Performance Measurement: Define key product metrics, establish monitoring systems, and regularly evaluate and report on the performance and success of the compute platform. Product Ambassador: Serve as an ambassador of the compute platform, effectively communicating its value and benefits to GSK Research and Development leadership and identifying potential customers. Industry Expertise: Stay up to date with the latest advancements and trends in AI, machine learning, and compute platforms, applying industry knowledge to drive innovation and competitive advantage. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Significant technical product management experience Experience of cloud computing management for scientific computing, data science and/or artificial intelligence model training with a major cloud provider (AWS, Google Cloud, Azure etc) Strong relevant experience in Data Science, Scientific Computing, Machine Learning/AI, Computer Science, Platform Engineering, or related discipline. Excellent communication, collaboration, and stakeholder management skills. Strong leadership abilities and a self-driven, proactive approach. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Technical Knowledge: Experience with andstrong understanding of on-prem and cloud computing, and software development practices; familiarity with MLOps and distributed computing is highly desirable. Experience with containers and virtual machines including Kubernetes, Slurm or other orchestration tools. Knowledge of modern infrastructure including Infrastructure-as-code tools (e.g. Terraform, Ansible ) Familiar with software engineering ways of working and engagement model Strong proficiency in utilizing various product management tools, including Jira and Confluence. Proven track record of managing developer platforms, tools, and services. Strong proficiency in utilizing various product management tools, including Jira and Confluence. Prior product management experience of enterprise AI/ML platform is strongly preferred. Experience with bioinformatics/genomics database, biological datasets, Pharma R&D is a plus, but not required. Strategic Thinker: Proven track record in developing and executing product strategies that drive business growth and customer satisfaction. Stakeholder Skills: Demonstrated ability to keep cross-functional teams, set clear objectives, and foster a collaborative and innovative work environment. Can lead without authority. Customer Focus: A customer-centric mindset with a deep understanding of customer needs and the ability to translate them into effective product solutions. Analytical and Data-Driven: Strong analytical skills with the ability to gather and interpret data, perform market research, and make data-driven decisions. Excellent Communication: Exceptional written and verbal communication skills, with the ability to effectively present complex ideas and concepts to both technical and non-technical audiences. Adaptability: Thrives in a fast-paced, dynamic environment and can adapt quickly to changing priorities and business needs. Closing Date for Applications: Monday 8th April 2024 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why Us? GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We're committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles . click apply for full job details
Mar 27, 2024
Full time
Site Name: London The Stanley Building Posted Date: Mar At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking a highly skilled and experienced Manager for our Computing Platforms Products. In this role, you will be responsible for developing the product strategy of our Computing Platform to meet customer needs. You will partner closely with Onyx's organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power R&D workloads. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of our Compute platform including the migration of existing GSK applications to the platform. Together, you will facilitate joint planning and execution of the product roadmap, ensuring a balance between strategic development and customer-facing deliverables. You will also play a key role in devising, tracking, and publicizing metrics that measure the impact and performance of Onyx Compute Platform Products. You will be responsible for understanding the business areas using Onyx, Platform capabilities, translating customer needs into requirements aligned with standard frameworks such as ontologies and engineering pipelines, and ensure our R&D teams receive the solutions they need to succeed. In this role you will Product Strategy: Develop and execute a comprehensive product strategy for our AI/ML compute platform, aligning with the Onyx's overall goals and objectives. Roadmap Development: Define and prioritize features, enhancements, and functionalities for the platform based on user analysis, customer feedback, and business requirements. Cross-functional Collaboration: Collaborate closely with engineering, AI/ML, and portfolio/program teams to ensure successful product development and deployment. Stakeholder Engagement: Collaborate with customers, partners, and internal stakeholders to understand their needs, gather feedback, and incorporate it into product planning and development processes. Product Launch: Plan and oversee product launches, ensuring effective communication, documentation, and training to drive product adoption and success. Performance Measurement: Define key product metrics, establish monitoring systems, and regularly evaluate and report on the performance and success of the compute platform. Product Ambassador: Serve as an ambassador of the compute platform, effectively communicating its value and benefits to GSK Research and Development leadership and identifying potential customers. Industry Expertise: Stay up to date with the latest advancements and trends in AI, machine learning, and compute platforms, applying industry knowledge to drive innovation and competitive advantage. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Significant technical product management experience Experience of cloud computing management for scientific computing, data science and/or artificial intelligence model training with a major cloud provider (AWS, Google Cloud, Azure etc) Strong relevant experience in Data Science, Scientific Computing, Machine Learning/AI, Computer Science, Platform Engineering, or related discipline. Excellent communication, collaboration, and stakeholder management skills. Strong leadership abilities and a self-driven, proactive approach. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Technical Knowledge: Experience with andstrong understanding of on-prem and cloud computing, and software development practices; familiarity with MLOps and distributed computing is highly desirable. Experience with containers and virtual machines including Kubernetes, Slurm or other orchestration tools. Knowledge of modern infrastructure including Infrastructure-as-code tools (e.g. Terraform, Ansible ) Familiar with software engineering ways of working and engagement model Strong proficiency in utilizing various product management tools, including Jira and Confluence. Proven track record of managing developer platforms, tools, and services. Strong proficiency in utilizing various product management tools, including Jira and Confluence. Prior product management experience of enterprise AI/ML platform is strongly preferred. Experience with bioinformatics/genomics database, biological datasets, Pharma R&D is a plus, but not required. Strategic Thinker: Proven track record in developing and executing product strategies that drive business growth and customer satisfaction. Stakeholder Skills: Demonstrated ability to keep cross-functional teams, set clear objectives, and foster a collaborative and innovative work environment. Can lead without authority. Customer Focus: A customer-centric mindset with a deep understanding of customer needs and the ability to translate them into effective product solutions. Analytical and Data-Driven: Strong analytical skills with the ability to gather and interpret data, perform market research, and make data-driven decisions. Excellent Communication: Exceptional written and verbal communication skills, with the ability to effectively present complex ideas and concepts to both technical and non-technical audiences. Adaptability: Thrives in a fast-paced, dynamic environment and can adapt quickly to changing priorities and business needs. Closing Date for Applications: Monday 8th April 2024 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why Us? GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We're committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles . click apply for full job details
I am currently recruiting for a Senior Data Scientist to work for an exciting Data centric business. Specialising in the Energy Sector and the drive for NetZero they deliver Data Centric solutions for some of the most energy-intensive businesses globally. Experience working within across Complex systems/ Start-up Environments is highly advantageous Key Responsibilities: Lead development of data-driven solutions for ESG analysis, carbon accounting, and NetZero initiatives. Develop predictive models using machine learning to forecast environmental impact collaborate with data teams to leverage data analytics for sustainability goals. Advocate for users in all areas of our business, influencing and decisions that impact user experience. Establish and nurture strong relationships with stakeholders at all levels Technology stack - SQL, Phyton, AWS. And Machine learning tools Location: Central London, 3 days a week £90,000 - £110,000 - Depending on experience If this is of interest, please share your contact details and suitable time to speak. Follow us on LinkedIn for new job listings, industry insights and career advice.
Mar 27, 2024
Full time
I am currently recruiting for a Senior Data Scientist to work for an exciting Data centric business. Specialising in the Energy Sector and the drive for NetZero they deliver Data Centric solutions for some of the most energy-intensive businesses globally. Experience working within across Complex systems/ Start-up Environments is highly advantageous Key Responsibilities: Lead development of data-driven solutions for ESG analysis, carbon accounting, and NetZero initiatives. Develop predictive models using machine learning to forecast environmental impact collaborate with data teams to leverage data analytics for sustainability goals. Advocate for users in all areas of our business, influencing and decisions that impact user experience. Establish and nurture strong relationships with stakeholders at all levels Technology stack - SQL, Phyton, AWS. And Machine learning tools Location: Central London, 3 days a week £90,000 - £110,000 - Depending on experience If this is of interest, please share your contact details and suitable time to speak. Follow us on LinkedIn for new job listings, industry insights and career advice.
Up to £800 p/day inside IR35 6-month initial contract Hybrid Central London We are seeking a Senior MLOps Engineer Contractor to join a cross-functional team on a 6-month initial basis. Work with cutting-edge technologies and collaborate with experts in a fast-paced, innovative FinTech. What you'll be doing: Conduct ML model training and optimisation, leveraging tools such as Sagemaker. Lead data ingestion efforts, ensuring data quality and integrity throughout the process. Facilitate experiment tracking and orchestrate pipelines for efficient data processing. Drive AB testing initiatives to validate hypotheses and optimise product performance. Empower data scientists and data engineers to take ownership of their work through mentorship and knowledge sharing. What experience you'll need to apply: Proven experience as an MLOps Engineer in a product-led scale-up/start-up environment. Strong proficiency in tools such as Sagemaker, Vertex AI, AzureML etc. Experience with data ingestion, ML model training and experiment tracking. Ability to thrive in a dynamic, fast-paced startup environment, dealing with ambiguity and novel data challenges. Excellent stakeholder management skills and the ability to communicate effectively across teams. What you'll get in return for your experience: Day rate up of to £800 p/day inside IR35 on a 6-month initial contract. What's next? Please apply with an up-to-date CV and I will be in touch.
Mar 27, 2024
Contractor
Up to £800 p/day inside IR35 6-month initial contract Hybrid Central London We are seeking a Senior MLOps Engineer Contractor to join a cross-functional team on a 6-month initial basis. Work with cutting-edge technologies and collaborate with experts in a fast-paced, innovative FinTech. What you'll be doing: Conduct ML model training and optimisation, leveraging tools such as Sagemaker. Lead data ingestion efforts, ensuring data quality and integrity throughout the process. Facilitate experiment tracking and orchestrate pipelines for efficient data processing. Drive AB testing initiatives to validate hypotheses and optimise product performance. Empower data scientists and data engineers to take ownership of their work through mentorship and knowledge sharing. What experience you'll need to apply: Proven experience as an MLOps Engineer in a product-led scale-up/start-up environment. Strong proficiency in tools such as Sagemaker, Vertex AI, AzureML etc. Experience with data ingestion, ML model training and experiment tracking. Ability to thrive in a dynamic, fast-paced startup environment, dealing with ambiguity and novel data challenges. Excellent stakeholder management skills and the ability to communicate effectively across teams. What you'll get in return for your experience: Day rate up of to £800 p/day inside IR35 on a 6-month initial contract. What's next? Please apply with an up-to-date CV and I will be in touch.
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.
Our mission: We are on a mission toaddress climate change by decarbonising commercial buildings Your impact: At Elyos Energy, we live and breathe data.As a Senior Data Scientist, you will play a pivotal role in defining our data-driven product development culture.You will be part ofour tech team collaborating closely with engineering and product to build our brilliant energy platform. Your work will directly impact our ability to deliver tailored solutions to our clients, release new functionality,optimise energy consumption patterns and contribute to a more sustainable energy system.We love passionate people that want to help us get a step closer to a net-zero world. What will you do? Collect, sanitise, and store large-scale energy consumption data from diverse sources to ensure its quality and relevance for our models using data pipelines and ELTs Design and implement innovative features that capture the complex relationships between energy consumption, external factors (weather, occupancy, etc.), and grid conditions, improving the accuracy of predictive models. Develop and train supervised and unsupervised predictionmodels for understanding energy consumption patterns, participating indemand response opportunities, and forecasting energy market trends Continuously refine and optimise existing models for improved accuracy, interpretability, and computational efficiency. Anomaly Detection: Create mechanisms for real-time anomaly detection and alerting to proactively address unusual energy consumption patterns or system malfunctions. Collaborate with domain experts and engineers to integrate machine learning models and insights into actionable solutions for energy management Implement rigorous validation and testing protocols to ensure the reliability and robustness of our models in real-world scenarios. Be the expert: Keep up-to-date with the latest advancements in machine learning, energy management, and demand response technologies to continually enhance the product's capabilities and educate technical and non-technical stakeholders. Required experience : Master's or PhD in Math, Statistics or relevant fieldwith a strong focus on machine learning,statistical analysis and data manipulation Proven experience in developing, maintaining and deploying predictive and forecastingmachine learning models Strong background in data clustering (correlation and hierarchical algorithms) Expert in SQL and Python, DBT andespecially in standard data science libraries and frameworks such as pandas, numpy, scikit-learn, Tensorflow/PyTorch, PySpark, etc. Experience with Infrastructure-as-Code, Continuous Integration & Deployment patterns Experience with Postgresql, Google Cloud Platformand BigQuery Excellent problem-solving skills and the ability to think creatively to develop innovative solutions. Ability to self-start and work independently in a fast paced environment environment as well as navigate (and bring structure to) ambiguity, bringing a problem from 0 to 1. Ability to manage and prioritise multiple projects and change direction quickly Ability to gather strategic insights beyond the paradigm of statistical significance testing Desirable experience Familiarity with energy data, smart grids, demand response, or related fields is a plus. Experience with Airflow and/or Airbyte 5+ years of experience as a data scientist,leading a small team Expertise in Python (incl asyncio) as a software engineer Have previous experience in early stage startups Experience with GCP, Kubernetes and PubSub Benefits Competitive salary (£80,000 - £100,000) plus equity 25 days annual leave + bank holidays Private healthcare Standard pension contributions Annual learning & development budget This role is onsite and based in London, United Kingdom . Our office is located close to Liverpool St. At this stage we are not able to provide visa sponsorship. Elyos Energy is an Equal Opportunity employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws. Elyos Energy is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process. Please contact Elyos Energy for additional information or to request accommodations
Mar 27, 2024
Full time
Our mission: We are on a mission toaddress climate change by decarbonising commercial buildings Your impact: At Elyos Energy, we live and breathe data.As a Senior Data Scientist, you will play a pivotal role in defining our data-driven product development culture.You will be part ofour tech team collaborating closely with engineering and product to build our brilliant energy platform. Your work will directly impact our ability to deliver tailored solutions to our clients, release new functionality,optimise energy consumption patterns and contribute to a more sustainable energy system.We love passionate people that want to help us get a step closer to a net-zero world. What will you do? Collect, sanitise, and store large-scale energy consumption data from diverse sources to ensure its quality and relevance for our models using data pipelines and ELTs Design and implement innovative features that capture the complex relationships between energy consumption, external factors (weather, occupancy, etc.), and grid conditions, improving the accuracy of predictive models. Develop and train supervised and unsupervised predictionmodels for understanding energy consumption patterns, participating indemand response opportunities, and forecasting energy market trends Continuously refine and optimise existing models for improved accuracy, interpretability, and computational efficiency. Anomaly Detection: Create mechanisms for real-time anomaly detection and alerting to proactively address unusual energy consumption patterns or system malfunctions. Collaborate with domain experts and engineers to integrate machine learning models and insights into actionable solutions for energy management Implement rigorous validation and testing protocols to ensure the reliability and robustness of our models in real-world scenarios. Be the expert: Keep up-to-date with the latest advancements in machine learning, energy management, and demand response technologies to continually enhance the product's capabilities and educate technical and non-technical stakeholders. Required experience : Master's or PhD in Math, Statistics or relevant fieldwith a strong focus on machine learning,statistical analysis and data manipulation Proven experience in developing, maintaining and deploying predictive and forecastingmachine learning models Strong background in data clustering (correlation and hierarchical algorithms) Expert in SQL and Python, DBT andespecially in standard data science libraries and frameworks such as pandas, numpy, scikit-learn, Tensorflow/PyTorch, PySpark, etc. Experience with Infrastructure-as-Code, Continuous Integration & Deployment patterns Experience with Postgresql, Google Cloud Platformand BigQuery Excellent problem-solving skills and the ability to think creatively to develop innovative solutions. Ability to self-start and work independently in a fast paced environment environment as well as navigate (and bring structure to) ambiguity, bringing a problem from 0 to 1. Ability to manage and prioritise multiple projects and change direction quickly Ability to gather strategic insights beyond the paradigm of statistical significance testing Desirable experience Familiarity with energy data, smart grids, demand response, or related fields is a plus. Experience with Airflow and/or Airbyte 5+ years of experience as a data scientist,leading a small team Expertise in Python (incl asyncio) as a software engineer Have previous experience in early stage startups Experience with GCP, Kubernetes and PubSub Benefits Competitive salary (£80,000 - £100,000) plus equity 25 days annual leave + bank holidays Private healthcare Standard pension contributions Annual learning & development budget This role is onsite and based in London, United Kingdom . Our office is located close to Liverpool St. At this stage we are not able to provide visa sponsorship. Elyos Energy is an Equal Opportunity employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws. Elyos Energy is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process. Please contact Elyos Energy for additional information or to request accommodations
Harnham - Data & Analytics Recruitment
Manchester, Lancashire
SENIOR ANALYST REMOTE - MUST BE UK BASED £55,000-£65,000 + BENEFITS THE COMPANY This business is a global organisation who are data driven and tackling climate change head on. They are providing data and analytics to their client on climate change articles/ reports and how the market is reacting. YOUR ROLE: You will sit in a small but collaborative team and work alongside data scientist/engineers on Python focused data tasks. You will work to create reports/ dashboards for internal stakeholders as well as external clients. SKILL SET REQUIRED Strong passion for climate change and making a difference Strong Python skills - being used to script and create visualisations Excellent communication - able to create relationships internally and externally Must be educated to a Bachelors degree level or above in a STEM subject. Ideally strong academic background and educated to a PhD level THE BENEFITS A salary of £50,000-£65,000. Fully remote policy. Opportunity to make an impact to the world! Work with a lot of highly talented individuals. HOW TO APPLY Please register your interest by sending your CV to Lydia via the apply link on this page.
Mar 27, 2024
Full time
SENIOR ANALYST REMOTE - MUST BE UK BASED £55,000-£65,000 + BENEFITS THE COMPANY This business is a global organisation who are data driven and tackling climate change head on. They are providing data and analytics to their client on climate change articles/ reports and how the market is reacting. YOUR ROLE: You will sit in a small but collaborative team and work alongside data scientist/engineers on Python focused data tasks. You will work to create reports/ dashboards for internal stakeholders as well as external clients. SKILL SET REQUIRED Strong passion for climate change and making a difference Strong Python skills - being used to script and create visualisations Excellent communication - able to create relationships internally and externally Must be educated to a Bachelors degree level or above in a STEM subject. Ideally strong academic background and educated to a PhD level THE BENEFITS A salary of £50,000-£65,000. Fully remote policy. Opportunity to make an impact to the world! Work with a lot of highly talented individuals. HOW TO APPLY Please register your interest by sending your CV to Lydia via the apply link on this page.
Data Scientist (Mid and Senior Level) Location - Hybrid, Bristol (3 days per week) Salary - £50,000 - £80,000 Are you a talented and experienced Data Scientist ready to make an impact on the future of cyber risk assessment and management? We are seeking a dynamic individual to join our modelling team and contribute to the advancement of their cutting-edge cyber risk model. If you have a passion for data science, innovation, and problem-solving, this could be the perfect opportunity for you! Here's what we have to offer: - Impact: Join an organisation that is redefining the landscape of cyber risk assessment and management, and make a tangible impact on the future of the field. - Innovation: Work at the forefront of data science and cyber security, with opportunities to innovate and challenge the status quo. - Growth: Benefit from opportunities for professional development and advancement in a rapidly growing company. - Culture: Join a collaborative, supportive, and forward-thinking team that values innovation and excellence. Your key responsibilities will include: - Model Development and Operation: Help design, develop, refine, and execute the stochastic cyber risk model, ensuring its accuracy, performance, and scalability. - Data Analysis: Utilise your expertise in statistical and machine learning techniques to perform complex data analysis and extract insights and trends in cyber risk. - Operationalization: Translate model insights into actionable strategies and tools for both internal and external stakeholders. - Collaboration: Work closely with a cross-functional team, including underwriters, engineers, and cyber risk analysts, to integrate the cyber risk model with other systems and processes. - Innovation: Stay up to date with the latest developments in data science, cyber security, and risk modelling, and incorporate innovative techniques and technologies into our models. To be successful in this role, you will need: - Experience: A minimum of 5 years of experience as a data scientist or quantitative risk modeller, with a proven track record of operationalizing complex models and analytics. - Technical Skills: Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. Proficiency in Python & SQL is essential, and experience with big data technologies and tools is highly desirable. - Industry Knowledge: Experience in insurance, cyber, or a related domain is ideal. Understanding of the reinsurance industry and its challenges is a plus. - Soft Skills: Excellent problem-solving abilities, strong communication skills, and the capacity to work effectively in a team-oriented environment. If you're ready to take the next step in your career and are looking for your next challenge, please Apply Now! Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Mar 26, 2024
Full time
Data Scientist (Mid and Senior Level) Location - Hybrid, Bristol (3 days per week) Salary - £50,000 - £80,000 Are you a talented and experienced Data Scientist ready to make an impact on the future of cyber risk assessment and management? We are seeking a dynamic individual to join our modelling team and contribute to the advancement of their cutting-edge cyber risk model. If you have a passion for data science, innovation, and problem-solving, this could be the perfect opportunity for you! Here's what we have to offer: - Impact: Join an organisation that is redefining the landscape of cyber risk assessment and management, and make a tangible impact on the future of the field. - Innovation: Work at the forefront of data science and cyber security, with opportunities to innovate and challenge the status quo. - Growth: Benefit from opportunities for professional development and advancement in a rapidly growing company. - Culture: Join a collaborative, supportive, and forward-thinking team that values innovation and excellence. Your key responsibilities will include: - Model Development and Operation: Help design, develop, refine, and execute the stochastic cyber risk model, ensuring its accuracy, performance, and scalability. - Data Analysis: Utilise your expertise in statistical and machine learning techniques to perform complex data analysis and extract insights and trends in cyber risk. - Operationalization: Translate model insights into actionable strategies and tools for both internal and external stakeholders. - Collaboration: Work closely with a cross-functional team, including underwriters, engineers, and cyber risk analysts, to integrate the cyber risk model with other systems and processes. - Innovation: Stay up to date with the latest developments in data science, cyber security, and risk modelling, and incorporate innovative techniques and technologies into our models. To be successful in this role, you will need: - Experience: A minimum of 5 years of experience as a data scientist or quantitative risk modeller, with a proven track record of operationalizing complex models and analytics. - Technical Skills: Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. Proficiency in Python & SQL is essential, and experience with big data technologies and tools is highly desirable. - Industry Knowledge: Experience in insurance, cyber, or a related domain is ideal. Understanding of the reinsurance industry and its challenges is a plus. - Soft Skills: Excellent problem-solving abilities, strong communication skills, and the capacity to work effectively in a team-oriented environment. If you're ready to take the next step in your career and are looking for your next challenge, please Apply Now! Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Data Scientist (Mid and Senior Level) Location - Hybrid, Bristol (3 days per week) Salary - 50,000 - 80,000 Are you a talented and experienced Data Scientist ready to make an impact on the future of cyber risk assessment and management? We are seeking a dynamic individual to join our modelling team and contribute to the advancement of their cutting-edge cyber risk model. If you have a passion for data science, innovation, and problem-solving, this could be the perfect opportunity for you! Here's what we have to offer: - Impact: Join an organisation that is redefining the landscape of cyber risk assessment and management, and make a tangible impact on the future of the field. - Innovation: Work at the forefront of data science and cyber security, with opportunities to innovate and challenge the status quo. - Growth: Benefit from opportunities for professional development and advancement in a rapidly growing company. - Culture: Join a collaborative, supportive, and forward-thinking team that values innovation and excellence. Your key responsibilities will include: - Model Development and Operation: Help design, develop, refine, and execute the stochastic cyber risk model, ensuring its accuracy, performance, and scalability. - Data Analysis: Utilise your expertise in statistical and machine learning techniques to perform complex data analysis and extract insights and trends in cyber risk. - Operationalization: Translate model insights into actionable strategies and tools for both internal and external stakeholders. - Collaboration: Work closely with a cross-functional team, including underwriters, engineers, and cyber risk analysts, to integrate the cyber risk model with other systems and processes. - Innovation: Stay up to date with the latest developments in data science, cyber security, and risk modelling, and incorporate innovative techniques and technologies into our models. To be successful in this role, you will need: - Experience: A minimum of 5 years of experience as a data scientist or quantitative risk modeller, with a proven track record of operationalizing complex models and analytics. - Technical Skills: Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. Proficiency in Python & SQL is essential, and experience with big data technologies and tools is highly desirable. - Industry Knowledge: Experience in insurance, cyber, or a related domain is ideal. Understanding of the reinsurance industry and its challenges is a plus. - Soft Skills: Excellent problem-solving abilities, strong communication skills, and the capacity to work effectively in a team-oriented environment. If you're ready to take the next step in your career and are looking for your next challenge, please Apply Now! Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Mar 26, 2024
Full time
Data Scientist (Mid and Senior Level) Location - Hybrid, Bristol (3 days per week) Salary - 50,000 - 80,000 Are you a talented and experienced Data Scientist ready to make an impact on the future of cyber risk assessment and management? We are seeking a dynamic individual to join our modelling team and contribute to the advancement of their cutting-edge cyber risk model. If you have a passion for data science, innovation, and problem-solving, this could be the perfect opportunity for you! Here's what we have to offer: - Impact: Join an organisation that is redefining the landscape of cyber risk assessment and management, and make a tangible impact on the future of the field. - Innovation: Work at the forefront of data science and cyber security, with opportunities to innovate and challenge the status quo. - Growth: Benefit from opportunities for professional development and advancement in a rapidly growing company. - Culture: Join a collaborative, supportive, and forward-thinking team that values innovation and excellence. Your key responsibilities will include: - Model Development and Operation: Help design, develop, refine, and execute the stochastic cyber risk model, ensuring its accuracy, performance, and scalability. - Data Analysis: Utilise your expertise in statistical and machine learning techniques to perform complex data analysis and extract insights and trends in cyber risk. - Operationalization: Translate model insights into actionable strategies and tools for both internal and external stakeholders. - Collaboration: Work closely with a cross-functional team, including underwriters, engineers, and cyber risk analysts, to integrate the cyber risk model with other systems and processes. - Innovation: Stay up to date with the latest developments in data science, cyber security, and risk modelling, and incorporate innovative techniques and technologies into our models. To be successful in this role, you will need: - Experience: A minimum of 5 years of experience as a data scientist or quantitative risk modeller, with a proven track record of operationalizing complex models and analytics. - Technical Skills: Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. Proficiency in Python & SQL is essential, and experience with big data technologies and tools is highly desirable. - Industry Knowledge: Experience in insurance, cyber, or a related domain is ideal. Understanding of the reinsurance industry and its challenges is a plus. - Soft Skills: Excellent problem-solving abilities, strong communication skills, and the capacity to work effectively in a team-oriented environment. If you're ready to take the next step in your career and are looking for your next challenge, please Apply Now! Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
NVIDIA's Worldwide Field Operations (WWFO) team is looking for a Data Science focused Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science platforms. Exposure to inferencing technology (e.g., understanding of model compression techniques, model compilation or model serving) would be an added value. In our Solutions Architecture team, we work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence. We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinking about artificial intelligence, someone who can maintain synergy in a fast paced, rapidly evolving field, someone able to coordinate efforts between corporate marketing, industry business development and engineering. You will be working with the latest HPC architectures coupled with the most advanced neural network models, changing the way people interact with technology. As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key executives and managers to evangelize accelerated computing. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns. What You'll Be Doing: Develop and demonstrate solutions based on NVIDIA's state-of-the-art AI and ML software and hardware technologies to customers. Work directly with key customers to understand their technology and provide the best solutions. Perform in-depth analysis and optimization to ensure the best performance on GPU architecture systems. This includes support in optimization of both training and inference pipelines. Partner with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations. Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures. What We Need to See: Excellent verbal, written communication, and technical presentation skills in Japanese. Business level English communication is also a requirement. MS/PhD in Computer Science, Data Science, Electrical/Computer, or equivalent experience Engineering, Physics, Mathematics, other Engineering fields. 3+ years of academic and/or industry experience in fields related to machine learning, deep learning and/or data science. You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team). You are a self-starter with attitude for growth, passion for continuous learning and sharing findings across the team. Ways to Stand Out from The Crowd: Experience running large scale distributed DL training Background with working with larger transformer-based architectures Expertise with chatbot related technologies such as ASR, TTS, LLMs, or RAG Experience using DevOps technologies such as Docker, Kubernetes, Singularity, etc Understanding of HPC systems: data center design, high speed interconnect InfiniBand, cluster storage and scheduling related design and/or management experience NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA Company: JP02 NVIDIA Japan KK Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Clustering , Industry , Machine Learning , Neural Networks , NLP , Unspecified
Mar 26, 2024
Full time
NVIDIA's Worldwide Field Operations (WWFO) team is looking for a Data Science focused Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science platforms. Exposure to inferencing technology (e.g., understanding of model compression techniques, model compilation or model serving) would be an added value. In our Solutions Architecture team, we work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence. We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinking about artificial intelligence, someone who can maintain synergy in a fast paced, rapidly evolving field, someone able to coordinate efforts between corporate marketing, industry business development and engineering. You will be working with the latest HPC architectures coupled with the most advanced neural network models, changing the way people interact with technology. As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key executives and managers to evangelize accelerated computing. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns. What You'll Be Doing: Develop and demonstrate solutions based on NVIDIA's state-of-the-art AI and ML software and hardware technologies to customers. Work directly with key customers to understand their technology and provide the best solutions. Perform in-depth analysis and optimization to ensure the best performance on GPU architecture systems. This includes support in optimization of both training and inference pipelines. Partner with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations. Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures. What We Need to See: Excellent verbal, written communication, and technical presentation skills in Japanese. Business level English communication is also a requirement. MS/PhD in Computer Science, Data Science, Electrical/Computer, or equivalent experience Engineering, Physics, Mathematics, other Engineering fields. 3+ years of academic and/or industry experience in fields related to machine learning, deep learning and/or data science. You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team). You are a self-starter with attitude for growth, passion for continuous learning and sharing findings across the team. Ways to Stand Out from The Crowd: Experience running large scale distributed DL training Background with working with larger transformer-based architectures Expertise with chatbot related technologies such as ASR, TTS, LLMs, or RAG Experience using DevOps technologies such as Docker, Kubernetes, Singularity, etc Understanding of HPC systems: data center design, high speed interconnect InfiniBand, cluster storage and scheduling related design and/or management experience NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA Company: JP02 NVIDIA Japan KK Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Clustering , Industry , Machine Learning , Neural Networks , NLP , Unspecified
Machine Learning Engineer Analytics Centre of Excellence (ACOE) London/Hybrid The Analytics Centre of Excellence (ACOE) is positively impacting patient lives through the anticipation and delivery of Decision Intelligence solutions that increase clinical trial success, shorten drug development timelines, and reduce costs in bringing new drugs to market, getting much-needed drugs to patients faster through successful clinical trial delivery. Our vision at the ACOE is that every decision our users and clients make in R&D is made through Decision Intelligence, allowing speedy access to safe, novel, and effective treatments for all patients. ACOE Product Portfolio: In trial strategy, we are using Machine Learning (ML) to recommend countries and clinical trial sites and accurately predict clinical study timelines. We are deploying ML at clinical trial sites to read Electronic Medical Records data and find undiagnosed patients that are otherwise challenging to identify. We are optimizing our patient outreach targeting and are predicting participant dropout. In addition, problems in patient recruitment are being solved with ML. Further upstream in R&D we are predicting clinical trial outcomes, drug-protein interactions, repurposing drugs and even leveraging ML to optimize molecules. Job Overview Develop fit for purpose AIML models/algorithms/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables. Test for viability to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery. Essential Functions • Facilitates the transformation of machine learning research domain expertise in the areas of human data into viable prototypes • Facilitates the development of features of models on individual projects and/or products with guidance and support from others • Develops understanding of the creation of new algorithms through working alongside other Machine Learning Engineers and Machine Learning Research Scientists • Facilitates the building and training of new production grade algorithms that can learn from complex, high dimensionality data to uncover patterns from which machine learning models and applications can be developed • Uses a variety of techniques to improve the performance of individual natural language processing and/or machine learning algorithms • Facilitates the testing and validation of models to determine viability for deployment with guidance and support from others • Consult for internal and external clients, implement solution development and innovation to meet clients' needs, facilitate client AI project technical delivery What we're looking for • Master's Degree Master's Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field • Several years' experience working on creating machine learning algorithms • Programming experience using one or more of the following: Python, Java, C++, R, Go, Kubernetes, Deep learning or equivalent. • Python (Scikit-learn, Tensor Flow, Pandas, NumPy, SciPy) SQL, Linux/mac command-line tools • Experience with building, testing, measuring, and deploying machine learning models in production • Familiarity with ML algorithms (classification, regression) and processes (how to build models, assess their goodness of fit, etc.) • Familiarity with agile software development lifecycle (SCRUM, Kanban, etc.) • Previous experience of owning, maintaining, and enhancing software data products • Attention to clarity of code, ease of development, and correctness of implementations • Good knowledge of software development best practices including testing, continuous integration, and DevOps tools Preferred Requirements: • Knowledge and experience of Hierarchical Modelling • Experience with clinical domain and with regulated data • Used Deep Neural Network libraries such as Tensor Flow, especially with Bayesian Neural Networks • Knowledge of cloud systems such as AWS, Azure, GCP and containerization such as Docker • Experience working with large, real-world datasets • Demonstrated in-depth understanding of product development lifecycle • Demonstrated aptitude for and interest in peer mentorship • Experience deploying code into production through CI/CD tools • Knowledge of biostatistics/life sciences/healthcare technology • Knowledge of UX principles • Experience working in the Hadoop ecosystem Why Join? Those who join us become part of a recognized global leader still willing to challenge the status quo to improve patient care. You will have access to the most cutting-edge technology, the largest data sets, the best analytics tools and, in our opinion, some of the finest minds in the Healthcare industry. You can drive your career at IQVIA and choose the path that best defines your development and success. With exposure across diverse geographies, capabilities, and vast therapeutic and information and technology areas, you can seek opportunities to change and grow without boundaries. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes. It's an exciting time to join and reimagine what's possible in healthcare. IQVIA is a strong advocate of diversity and inclusion in the workplace. We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success. We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential. We thank all applicants for their interest; however only those selected for interview will be contacted. IQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. We believe in pushing the boundaries of human science and data science to make the biggest impact possible - to help our customers create a healthier world. Learn more at Company: IQVIA Ltd. (GB80) Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) How to apply: Please mention NLP People as a source when applying Tagged as: Classification , Industry , Natural Language Processing , Neural Networks , NLP , Unspecified
Mar 26, 2024
Full time
Machine Learning Engineer Analytics Centre of Excellence (ACOE) London/Hybrid The Analytics Centre of Excellence (ACOE) is positively impacting patient lives through the anticipation and delivery of Decision Intelligence solutions that increase clinical trial success, shorten drug development timelines, and reduce costs in bringing new drugs to market, getting much-needed drugs to patients faster through successful clinical trial delivery. Our vision at the ACOE is that every decision our users and clients make in R&D is made through Decision Intelligence, allowing speedy access to safe, novel, and effective treatments for all patients. ACOE Product Portfolio: In trial strategy, we are using Machine Learning (ML) to recommend countries and clinical trial sites and accurately predict clinical study timelines. We are deploying ML at clinical trial sites to read Electronic Medical Records data and find undiagnosed patients that are otherwise challenging to identify. We are optimizing our patient outreach targeting and are predicting participant dropout. In addition, problems in patient recruitment are being solved with ML. Further upstream in R&D we are predicting clinical trial outcomes, drug-protein interactions, repurposing drugs and even leveraging ML to optimize molecules. Job Overview Develop fit for purpose AIML models/algorithms/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables. Test for viability to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery. Essential Functions • Facilitates the transformation of machine learning research domain expertise in the areas of human data into viable prototypes • Facilitates the development of features of models on individual projects and/or products with guidance and support from others • Develops understanding of the creation of new algorithms through working alongside other Machine Learning Engineers and Machine Learning Research Scientists • Facilitates the building and training of new production grade algorithms that can learn from complex, high dimensionality data to uncover patterns from which machine learning models and applications can be developed • Uses a variety of techniques to improve the performance of individual natural language processing and/or machine learning algorithms • Facilitates the testing and validation of models to determine viability for deployment with guidance and support from others • Consult for internal and external clients, implement solution development and innovation to meet clients' needs, facilitate client AI project technical delivery What we're looking for • Master's Degree Master's Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field • Several years' experience working on creating machine learning algorithms • Programming experience using one or more of the following: Python, Java, C++, R, Go, Kubernetes, Deep learning or equivalent. • Python (Scikit-learn, Tensor Flow, Pandas, NumPy, SciPy) SQL, Linux/mac command-line tools • Experience with building, testing, measuring, and deploying machine learning models in production • Familiarity with ML algorithms (classification, regression) and processes (how to build models, assess their goodness of fit, etc.) • Familiarity with agile software development lifecycle (SCRUM, Kanban, etc.) • Previous experience of owning, maintaining, and enhancing software data products • Attention to clarity of code, ease of development, and correctness of implementations • Good knowledge of software development best practices including testing, continuous integration, and DevOps tools Preferred Requirements: • Knowledge and experience of Hierarchical Modelling • Experience with clinical domain and with regulated data • Used Deep Neural Network libraries such as Tensor Flow, especially with Bayesian Neural Networks • Knowledge of cloud systems such as AWS, Azure, GCP and containerization such as Docker • Experience working with large, real-world datasets • Demonstrated in-depth understanding of product development lifecycle • Demonstrated aptitude for and interest in peer mentorship • Experience deploying code into production through CI/CD tools • Knowledge of biostatistics/life sciences/healthcare technology • Knowledge of UX principles • Experience working in the Hadoop ecosystem Why Join? Those who join us become part of a recognized global leader still willing to challenge the status quo to improve patient care. You will have access to the most cutting-edge technology, the largest data sets, the best analytics tools and, in our opinion, some of the finest minds in the Healthcare industry. You can drive your career at IQVIA and choose the path that best defines your development and success. With exposure across diverse geographies, capabilities, and vast therapeutic and information and technology areas, you can seek opportunities to change and grow without boundaries. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes. It's an exciting time to join and reimagine what's possible in healthcare. IQVIA is a strong advocate of diversity and inclusion in the workplace. We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success. We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential. We thank all applicants for their interest; however only those selected for interview will be contacted. IQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. We believe in pushing the boundaries of human science and data science to make the biggest impact possible - to help our customers create a healthier world. Learn more at Company: IQVIA Ltd. (GB80) Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) How to apply: Please mention NLP People as a source when applying Tagged as: Classification , Industry , Natural Language Processing , Neural Networks , NLP , Unspecified
NLP Machine Learning Engineer Tech Company Permanent £60,000 - £80,000 + benefits London (hybrid - 1 day a week in the office minimum) Xcede are excited to be partnering with an AI focused Tech company who are looking to add to their Data Science team. They are looking for an NLP focused ML Engineer who is experienced in building models and deploying them. Their cutting edge product is NLP focused, so you would have the opportunity to work on lots of unstructured data and make an impact with their Financial Services clients. They have lots of exciting projects working on Large Language Models. Key skills/experience required: • A degree in STEM subject • 2+ years industry experience • Solid experience building ML models • Industry experience focused on using NLP techniques to train models • Experience developing ML solutions to Cloud (AWS ideally) • Excellent grasp of Python/SQL + machine learning core libraries • Some experience/interest in Computer vision is nice to have • Experience building Large Language Models (LLMs) is nice to have For more information, please send an up-to-date CV to Machine Learning Engineer, Data Scientist, Data Science, Machine Learning, Python, NLP, Natural Language Processing, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, FinTech, ML Ops, Deep Learning, Neural Networks, Deployment, Containerisation, Generative AI, LLMs, large language models Company: Xcede Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) How to apply: Please mention NLP People as a source when applying Tagged as: Clustering , Industry , Natural Language Processing , Neural Networks , NLP , Unspecified
Mar 26, 2024
Full time
NLP Machine Learning Engineer Tech Company Permanent £60,000 - £80,000 + benefits London (hybrid - 1 day a week in the office minimum) Xcede are excited to be partnering with an AI focused Tech company who are looking to add to their Data Science team. They are looking for an NLP focused ML Engineer who is experienced in building models and deploying them. Their cutting edge product is NLP focused, so you would have the opportunity to work on lots of unstructured data and make an impact with their Financial Services clients. They have lots of exciting projects working on Large Language Models. Key skills/experience required: • A degree in STEM subject • 2+ years industry experience • Solid experience building ML models • Industry experience focused on using NLP techniques to train models • Experience developing ML solutions to Cloud (AWS ideally) • Excellent grasp of Python/SQL + machine learning core libraries • Some experience/interest in Computer vision is nice to have • Experience building Large Language Models (LLMs) is nice to have For more information, please send an up-to-date CV to Machine Learning Engineer, Data Scientist, Data Science, Machine Learning, Python, NLP, Natural Language Processing, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, FinTech, ML Ops, Deep Learning, Neural Networks, Deployment, Containerisation, Generative AI, LLMs, large language models Company: Xcede Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) How to apply: Please mention NLP People as a source when applying Tagged as: Clustering , Industry , Natural Language Processing , Neural Networks , NLP , Unspecified
Data Scientist - London - £100,000 Description Are you passionate about data analysis and using your skills to drive growth in the hospitality industry? We are seeking a talented Data Scientist to join a client of mine to help uncover valuable insights. As a Data Scientist, you will have the opportunity to work on complex data sets and apply your analytical skills to solve challenging business problems. Responsibilities Collaborate with cross-functional teams to identify and define business problems that can be solved using data analysis Design and develop data models and algorithms to extract insights and patterns from large data sets Analyze and interpret complex data to generate actionable recommendations for the company's growth strategy Build predictive models using statistical techniques and machine learning algorithms to forecast customer behavior Develop and maintain data pipelines to ensure the availability and reliability of the data for analysis Present findings and insights to stakeholders in a clear and concise manner, using visualizations and storytelling techniques Stay up-to-date with the latest trends and advancements in the field of data analysis and apply relevant techniques to improve existing processes and models Requirements Bachelor's degree in Data Science, Statistics, Computer Science, or a related field Minimum of 2 years of experience working as a Data Scientist or in a similar role Strong programming skills in Python or R, with experience in data manipulation, analysis, and visualization Proven experience in building and deploying machine learning models Solid understanding of statistical concepts and techniques Familiarity with data preprocessing techniques, such as feature engineering and outlier detection Excellent problem-solving and critical-thinking abilities Strong communication and collaboration skills, with the ability to explain complex concepts to both technical and non-technical stakeholders Data Scientist - London - £100,000
Mar 26, 2024
Full time
Data Scientist - London - £100,000 Description Are you passionate about data analysis and using your skills to drive growth in the hospitality industry? We are seeking a talented Data Scientist to join a client of mine to help uncover valuable insights. As a Data Scientist, you will have the opportunity to work on complex data sets and apply your analytical skills to solve challenging business problems. Responsibilities Collaborate with cross-functional teams to identify and define business problems that can be solved using data analysis Design and develop data models and algorithms to extract insights and patterns from large data sets Analyze and interpret complex data to generate actionable recommendations for the company's growth strategy Build predictive models using statistical techniques and machine learning algorithms to forecast customer behavior Develop and maintain data pipelines to ensure the availability and reliability of the data for analysis Present findings and insights to stakeholders in a clear and concise manner, using visualizations and storytelling techniques Stay up-to-date with the latest trends and advancements in the field of data analysis and apply relevant techniques to improve existing processes and models Requirements Bachelor's degree in Data Science, Statistics, Computer Science, or a related field Minimum of 2 years of experience working as a Data Scientist or in a similar role Strong programming skills in Python or R, with experience in data manipulation, analysis, and visualization Proven experience in building and deploying machine learning models Solid understanding of statistical concepts and techniques Familiarity with data preprocessing techniques, such as feature engineering and outlier detection Excellent problem-solving and critical-thinking abilities Strong communication and collaboration skills, with the ability to explain complex concepts to both technical and non-technical stakeholders Data Scientist - London - £100,000