SThree is delighted to announce that we are currently accepting applications for an experienced AI Engineer. This position presents an excellent opportunity to join a global audience of stakeholders. Additionally, it offers the potential for growth within an international company. As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be key. About us SThree is the global STEM-specialist talent partner that connects sought-after specialists in life sciences, technology, engineering and mathematics with innovative organisations across the world. We are the number one destination for talent in the best STEM markets: Recruiting highly skilled professionals and discovering life-changing jobs for the unsung heroes who will positively shape our future. What are the day-to-day tasks? Design and develop AI models and solutions using Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements and performance benchmarks. Collaborate with business analysts, scientists, and IT teams to integrate AI solutions into existing systems and work flows Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing to the organisation's AI strategy and innovation efforts. Conduct data analysis and feature engineering to prepare data for use in AI models, utilising Azure Data Lake Develop robust testing and validation processes to ensure the accuracy and reliability of AI models. Ensure that operational issues are identified, recorded, monitored and resolved. Conducts investigations of significant operational outage and provides recommendations for problem mitigation. Provides appropriate status and other reports to specialists, users and managers. Align all operations procedures to service expectations, security requirements and other quality standards. Ensures that operational procedures are fit for purpose and updated. Oversee the planning, installation, maintenance and acceptance of new and updated components and services. Defines security procedures to be followed, and delegates tasks What skills and knowledge are we looking for? Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks desirable Solid background in machine learning algorithms, data preprocessing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB. Understanding of CI/CD pipelines, containerisation (Docker, Kubernetes), implementing MLOps practices using Azure DevOps. Azure Cloud services relevant to AI, such as Azure Kubernetes Service (AKS), Azure GPU VMs, and Azure networking and security services tailored for AI applications. Qualifications: Degree in computer science/software engineering and/or 5+ years equivalent work experience within a cloud environment. Cloud Certifications desirable Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals / Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate Benefits for our U.K. teams include: Choice to work flexibly from home and the office, in line with our hybrid working principles Bonus linked to company and personal performance Generous 28 days holiday, plus public holidays Annual leave purchase scheme Five days paid Caregiver/Dependant leave per annum Five paid days off per year for volunteering Private healthcare, discounted dental insurance and health care cashback scheme Opportunity to participate in the company share scheme Access to a range of retail discounts and saving What we stand for We're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable, and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help. What we stand for We create community and deliver change that transforms the future for everyone. With this in mind, we're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help.
Apr 17, 2024
Full time
SThree is delighted to announce that we are currently accepting applications for an experienced AI Engineer. This position presents an excellent opportunity to join a global audience of stakeholders. Additionally, it offers the potential for growth within an international company. As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be key. About us SThree is the global STEM-specialist talent partner that connects sought-after specialists in life sciences, technology, engineering and mathematics with innovative organisations across the world. We are the number one destination for talent in the best STEM markets: Recruiting highly skilled professionals and discovering life-changing jobs for the unsung heroes who will positively shape our future. What are the day-to-day tasks? Design and develop AI models and solutions using Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements and performance benchmarks. Collaborate with business analysts, scientists, and IT teams to integrate AI solutions into existing systems and work flows Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing to the organisation's AI strategy and innovation efforts. Conduct data analysis and feature engineering to prepare data for use in AI models, utilising Azure Data Lake Develop robust testing and validation processes to ensure the accuracy and reliability of AI models. Ensure that operational issues are identified, recorded, monitored and resolved. Conducts investigations of significant operational outage and provides recommendations for problem mitigation. Provides appropriate status and other reports to specialists, users and managers. Align all operations procedures to service expectations, security requirements and other quality standards. Ensures that operational procedures are fit for purpose and updated. Oversee the planning, installation, maintenance and acceptance of new and updated components and services. Defines security procedures to be followed, and delegates tasks What skills and knowledge are we looking for? Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks desirable Solid background in machine learning algorithms, data preprocessing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB. Understanding of CI/CD pipelines, containerisation (Docker, Kubernetes), implementing MLOps practices using Azure DevOps. Azure Cloud services relevant to AI, such as Azure Kubernetes Service (AKS), Azure GPU VMs, and Azure networking and security services tailored for AI applications. Qualifications: Degree in computer science/software engineering and/or 5+ years equivalent work experience within a cloud environment. Cloud Certifications desirable Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals / Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate Benefits for our U.K. teams include: Choice to work flexibly from home and the office, in line with our hybrid working principles Bonus linked to company and personal performance Generous 28 days holiday, plus public holidays Annual leave purchase scheme Five days paid Caregiver/Dependant leave per annum Five paid days off per year for volunteering Private healthcare, discounted dental insurance and health care cashback scheme Opportunity to participate in the company share scheme Access to a range of retail discounts and saving What we stand for We're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable, and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help. What we stand for We create community and deliver change that transforms the future for everyone. With this in mind, we're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help.
Head of Data Science - Future Mobility - Remote UK Join our Future Mobility team at Aon and revolutionize vehicle insurance products with real-time, behaviour-based risk and safety analytics. As the Head of Data Science, you'll lead our initiative to harness streaming telematics data, leveraging driver behaviour, usage, and geo-spatial features to craft innovative insurance solutions that resonate with users. Aon is in the business of better decisions At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organization, we are united through trust as one inclusive, diverse team, and we are passionate about helping our colleagues and clients succeed. Your Role: As the Head of Data Science, you are the forefront of our technical and strategic vision in the analytics and data science domain. Your leadership will shape the future of our data-driven products and set the direction for how we leverage technology to achieve our goals. Your day-to-day responsibilities include: Technical Strategy and Vision: Establishing and driving the technical strategy for analytics and data science across the team. You'll ensure our approaches are scalable, innovative, and aligned with our mission to redefine mobility insurance. Leading a High-Caliber Team: Leading a team of talented data scientists, fostering an environment of creativity and excellence. Your leadership will encourage a culture of continuous learning and development, empowering your team to innovate and excel. Designing, training, deploying and owning predictive models: This is a hands-on role that involves building and taking full ownership of models in production, monitoring their performance and ensuring their reliability and effectiveness through the use of best-in-class MLOps practices. Your work will directly influence our product offerings and the future of telematics-based insurance products. Strategic Collaboration: Working alongside our product team and a team of talented engineers on our cutting-edge platform you'll ensure that our data strategies complement business objectives, driving growth and innovation. This role is key to advancing our analytics capabilities and shaping the landscape of data science within the mobility and insurance sectors. Who You Are: Deep experience with: Python development, with a portfolio of large scale production-grade ML services. Deep understanding of ML, applied statistics, and relevant data science Python libraries. Proven expertise in deep learning and ownership of production models. Proven track record of running high functioning data science teams Nice-to-Haves: Experience in telematics, signal processing, geo-spatial analytics, autonomous vehicles, insurance analytics & pricing or accident modelling. Familiarity with distributed computing frameworks. Our Ethos: Empowerment & Autonomy: Trust is our foundation. Open Collaboration: Your voice matters. We grow through shared insights. Shared Mission: Together, we're making roads safer. How we support our colleagues In addition to our comprehensive benefits package, we encourage a diverse workforce. Plus, our agile, inclusive environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two "Global Wellbeing Days" each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions, but we also recognise that flexibility goes beyond just the place of work and we are all for it. We call this Smart Working! Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued. We provide individuals with disabilities reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment in accordance with applicable law. Please contact us to request an accommodation on Aon values an innovative, diverse workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace.
Apr 17, 2024
Full time
Head of Data Science - Future Mobility - Remote UK Join our Future Mobility team at Aon and revolutionize vehicle insurance products with real-time, behaviour-based risk and safety analytics. As the Head of Data Science, you'll lead our initiative to harness streaming telematics data, leveraging driver behaviour, usage, and geo-spatial features to craft innovative insurance solutions that resonate with users. Aon is in the business of better decisions At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organization, we are united through trust as one inclusive, diverse team, and we are passionate about helping our colleagues and clients succeed. Your Role: As the Head of Data Science, you are the forefront of our technical and strategic vision in the analytics and data science domain. Your leadership will shape the future of our data-driven products and set the direction for how we leverage technology to achieve our goals. Your day-to-day responsibilities include: Technical Strategy and Vision: Establishing and driving the technical strategy for analytics and data science across the team. You'll ensure our approaches are scalable, innovative, and aligned with our mission to redefine mobility insurance. Leading a High-Caliber Team: Leading a team of talented data scientists, fostering an environment of creativity and excellence. Your leadership will encourage a culture of continuous learning and development, empowering your team to innovate and excel. Designing, training, deploying and owning predictive models: This is a hands-on role that involves building and taking full ownership of models in production, monitoring their performance and ensuring their reliability and effectiveness through the use of best-in-class MLOps practices. Your work will directly influence our product offerings and the future of telematics-based insurance products. Strategic Collaboration: Working alongside our product team and a team of talented engineers on our cutting-edge platform you'll ensure that our data strategies complement business objectives, driving growth and innovation. This role is key to advancing our analytics capabilities and shaping the landscape of data science within the mobility and insurance sectors. Who You Are: Deep experience with: Python development, with a portfolio of large scale production-grade ML services. Deep understanding of ML, applied statistics, and relevant data science Python libraries. Proven expertise in deep learning and ownership of production models. Proven track record of running high functioning data science teams Nice-to-Haves: Experience in telematics, signal processing, geo-spatial analytics, autonomous vehicles, insurance analytics & pricing or accident modelling. Familiarity with distributed computing frameworks. Our Ethos: Empowerment & Autonomy: Trust is our foundation. Open Collaboration: Your voice matters. We grow through shared insights. Shared Mission: Together, we're making roads safer. How we support our colleagues In addition to our comprehensive benefits package, we encourage a diverse workforce. Plus, our agile, inclusive environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two "Global Wellbeing Days" each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions, but we also recognise that flexibility goes beyond just the place of work and we are all for it. We call this Smart Working! Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued. We provide individuals with disabilities reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment in accordance with applicable law. Please contact us to request an accommodation on Aon values an innovative, diverse workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace.
Job Title: Data Warehouse Lead Location: United Kingdom (U.K.) - Hybrid The Company: At Amber Labs, we are a cutting-edge UK and European technology consultancy that prioritises empowering autonomy, promoting experimentation, and facilitating rapid learning to provide exceptional value to our clients. Our company culture is centred around collaboration, where all colleagues, regardless of their role, work together to minimise risk and shorten delivery times. Our team consists of highly-skilled cross-functional consultants, analysts, and support staff. Overview: As a Data Warehouse Specialist, you will be responsible for the design, development, implementation, and maintenance of our organization's data warehouse infrastructure. You will play a critical role in ensuring that our data warehouse meets the needs of various stakeholders, including business analysts, data scientists, and decision-makers. Your expertise will be pivotal in transforming raw data into actionable insights, enabling informed decision-making across the organization. Skills: Solid background/experience in data engineering and data architecture Experience leading a data team or having leadership experience in the past Experience working in an enterprise-level environment or enterprise-level projects Core focus using the Microsoft + Azure tech stack in a data environment Benefits: Join a rapidly expanding startup where personal growth is a part of our DNA. Benefit from a flexible work environment focused on deliverable outcomes. Receive private medical insurance through Aviva. Enjoy the benefits of a company pension plan through Nest. 25 days of annual leave plus UK bank holidays. Access Perkbox, a global employee rewards platform offering discounts, perks, and wellness resources. Participate in a generous employee referral program. A highly collaborative and collegial environment with opportunities for career advancement. Be encouraged to take bold steps and embrace a mindset of experimentation. Choose your preferred device, PC or Mac. Diversity & Inclusion: Here at Amber Labs, we are dedicated to fostering an inclusive and equitable workplace for all. Our commitment to diversity, equality, and inclusion includes: Valuing the unique experiences, perspectives, and backgrounds of all employees and creating an environment where everyone feels welcomed, respected, and valued. Prohibiting all forms of harassment, bullying, discrimination, and victimisation and promoting a culture of dignity and respect for all. Educating all new hires on our Diversity and Inclusion policies and ensuring they are aware of their rights and responsibilities to create a safe and inclusive workplace. By taking these steps, we are dedicated to building a workplace that reflects and celebrates the diversity of our employees and communities. What Happens Next? Our Talent Acquisition team will be in touch to advise you on the next steps. We have a two-stage interview process for most of our consultants. In certain cases, we may include a third and final stage, which is a conversation with the company Partners. This will only be considered if deemed necessary.
Apr 16, 2024
Full time
Job Title: Data Warehouse Lead Location: United Kingdom (U.K.) - Hybrid The Company: At Amber Labs, we are a cutting-edge UK and European technology consultancy that prioritises empowering autonomy, promoting experimentation, and facilitating rapid learning to provide exceptional value to our clients. Our company culture is centred around collaboration, where all colleagues, regardless of their role, work together to minimise risk and shorten delivery times. Our team consists of highly-skilled cross-functional consultants, analysts, and support staff. Overview: As a Data Warehouse Specialist, you will be responsible for the design, development, implementation, and maintenance of our organization's data warehouse infrastructure. You will play a critical role in ensuring that our data warehouse meets the needs of various stakeholders, including business analysts, data scientists, and decision-makers. Your expertise will be pivotal in transforming raw data into actionable insights, enabling informed decision-making across the organization. Skills: Solid background/experience in data engineering and data architecture Experience leading a data team or having leadership experience in the past Experience working in an enterprise-level environment or enterprise-level projects Core focus using the Microsoft + Azure tech stack in a data environment Benefits: Join a rapidly expanding startup where personal growth is a part of our DNA. Benefit from a flexible work environment focused on deliverable outcomes. Receive private medical insurance through Aviva. Enjoy the benefits of a company pension plan through Nest. 25 days of annual leave plus UK bank holidays. Access Perkbox, a global employee rewards platform offering discounts, perks, and wellness resources. Participate in a generous employee referral program. A highly collaborative and collegial environment with opportunities for career advancement. Be encouraged to take bold steps and embrace a mindset of experimentation. Choose your preferred device, PC or Mac. Diversity & Inclusion: Here at Amber Labs, we are dedicated to fostering an inclusive and equitable workplace for all. Our commitment to diversity, equality, and inclusion includes: Valuing the unique experiences, perspectives, and backgrounds of all employees and creating an environment where everyone feels welcomed, respected, and valued. Prohibiting all forms of harassment, bullying, discrimination, and victimisation and promoting a culture of dignity and respect for all. Educating all new hires on our Diversity and Inclusion policies and ensuring they are aware of their rights and responsibilities to create a safe and inclusive workplace. By taking these steps, we are dedicated to building a workplace that reflects and celebrates the diversity of our employees and communities. What Happens Next? Our Talent Acquisition team will be in touch to advise you on the next steps. We have a two-stage interview process for most of our consultants. In certain cases, we may include a third and final stage, which is a conversation with the company Partners. This will only be considered if deemed necessary.
We believe in the power of ingenuity to build a positive human future. As strategies, technologies and innovation collide, we create opportunity from complexity. Our diverse teams of experts combine innovative thinking and breakthrough use of technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. An innovation and transformation consultancy, we are over 4000 specialists in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our people are strategists, innovators, designers, consultants, digital experts, scientists, engineers and technologists. We operate globally from offices across the UK, US, Netherlands and Nordics. PA. Bringing Ingenuity to Life. We are hiring managing consultants for our Energy and Utilities-Digital business. We are looking for someone who could provide digital leadership through practical delivery that drives business benefits for our clients. Acting as an ambassador of PA Consulting, be the trusted partner in the digital advisory and assurance space and take ownership ofmaintaining and developing client relationships. The ideal candidate would be someone who is already operating as a senior digital consultant in a top-tier strategy consulting firm or in the industry, and has a solid track record of achievements and success in E&U. We are looking for someone who has a proven record and technical knowhow of how to design, develop and deliver our client's digital transformation journey through improved user/employee experience, better use of technology and data. The ideal candidate will have great leadership skills to build the team and creativity for innovative solutions for clients and to grow the firm. You will contribute to the development and growth of PA's activities in the energy and utilities sector. You will support the team's business growth by identifying opportunities with existing accounts and new customers. You will actively contribute to client acquisition and maintain and develop your own external network. This role is highly varied and calls for someone who is autonomous and a self-starter. In addition to the above, specifically you will be expected to: Develop commercially viable consulting market offerings , and work with PA teams to refine existing offerings, including taking these to new markets. Lead and deliver large scale and complex projects. Work well with mixed and diverse teams within PA and externally : planning, managing and delivering work, and working productively in demanding, deadline-driven situations. Qualifications We are looking for a Managing Consultant with a strong digital background, combined with expertise in at least one of the technologies critical to the energy transition. We are looking for candidates who have line management experience and a network within the Energy industry, ideally covering some of the following technical areas, solar, wind, hydrogen and derivatives, energy storage, CCUS, e-mobility, and other related subjects. Management experience of delivery teams or demonstration of outstanding leadership skills is advantageous. Ideally, you will already have a reputation for developing business and delivering innovative solutions within Renewable Energy. You will also possess strong market understanding including commercial issues, policy & regulations, and technology. As a self-starter, you will have the ability to operate successfully in a commercial environment and flourish in an entrepreneurial setting that offers you the opportunity to work at the highest levels with a global centre of excellence. You will be based in our head office in London but may be expected to travel and work on client sites in the UK and globally. We are happy to talk to you if you recognise the following aspects in yourself: Experience : you have at least 8 -10 years of applicable work experience. You have gained that experience within a corporate, government, start-up / scale-up or as a consultant. Experience as a management or strategy consultant is ideal, with a focus on energy or climate change. Expertise : You have a Digital or data background. Energy : You are passionate about the opportunities and challenges in the Energy and Utility space. You are customer-oriented and at your best when, as part of a team with a high focus on results, you can help customers solve challenging strategic and organisational issues. External network : You have a network within the Energy and Utility space, and you have demonstrated ability to develop strategic client relationships, working at the senior levels to sell value-added consulting assignments. Strong leadership skills : You have an ability to mobilise, inspire and manage teams. Excellent communication skills , both verbal and written. You are a strong communicator and have developed a personal brand. Additional information Private medical insurance 25 days annual leave with the opportunity to buy 5 additional days Company pension scheme Annual performance-based bonus Life and Income protection insurance Tax efficient benefits (cycle to work, give as you earn) Additional optional benefits (Dental, critical illness, PA Share Ownership and spouse/partner life assurance) Life At PA Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. We believe diversity fuels ingenuity. Diversity of thought brings exciting perspectives; diversity of experience brings a wealth of knowledge, and diversity of skills brings the tools we need. When we bring people together with diverse backgrounds, identities, and minds, embracing that difference through an inclusive culture where our people thrive; we unleash the power of diversity - bringing ingenuity to life. We are dedicated to supporting the physical, emotional, social and financial well-being of our people. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief veteran status, or other by any other range of human difference brought about by identity and experience. We are on a journey towards ensuring our workforce is diverse at all levels and that our firm is representative of the world around us. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.
Apr 16, 2024
Full time
We believe in the power of ingenuity to build a positive human future. As strategies, technologies and innovation collide, we create opportunity from complexity. Our diverse teams of experts combine innovative thinking and breakthrough use of technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. An innovation and transformation consultancy, we are over 4000 specialists in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our people are strategists, innovators, designers, consultants, digital experts, scientists, engineers and technologists. We operate globally from offices across the UK, US, Netherlands and Nordics. PA. Bringing Ingenuity to Life. We are hiring managing consultants for our Energy and Utilities-Digital business. We are looking for someone who could provide digital leadership through practical delivery that drives business benefits for our clients. Acting as an ambassador of PA Consulting, be the trusted partner in the digital advisory and assurance space and take ownership ofmaintaining and developing client relationships. The ideal candidate would be someone who is already operating as a senior digital consultant in a top-tier strategy consulting firm or in the industry, and has a solid track record of achievements and success in E&U. We are looking for someone who has a proven record and technical knowhow of how to design, develop and deliver our client's digital transformation journey through improved user/employee experience, better use of technology and data. The ideal candidate will have great leadership skills to build the team and creativity for innovative solutions for clients and to grow the firm. You will contribute to the development and growth of PA's activities in the energy and utilities sector. You will support the team's business growth by identifying opportunities with existing accounts and new customers. You will actively contribute to client acquisition and maintain and develop your own external network. This role is highly varied and calls for someone who is autonomous and a self-starter. In addition to the above, specifically you will be expected to: Develop commercially viable consulting market offerings , and work with PA teams to refine existing offerings, including taking these to new markets. Lead and deliver large scale and complex projects. Work well with mixed and diverse teams within PA and externally : planning, managing and delivering work, and working productively in demanding, deadline-driven situations. Qualifications We are looking for a Managing Consultant with a strong digital background, combined with expertise in at least one of the technologies critical to the energy transition. We are looking for candidates who have line management experience and a network within the Energy industry, ideally covering some of the following technical areas, solar, wind, hydrogen and derivatives, energy storage, CCUS, e-mobility, and other related subjects. Management experience of delivery teams or demonstration of outstanding leadership skills is advantageous. Ideally, you will already have a reputation for developing business and delivering innovative solutions within Renewable Energy. You will also possess strong market understanding including commercial issues, policy & regulations, and technology. As a self-starter, you will have the ability to operate successfully in a commercial environment and flourish in an entrepreneurial setting that offers you the opportunity to work at the highest levels with a global centre of excellence. You will be based in our head office in London but may be expected to travel and work on client sites in the UK and globally. We are happy to talk to you if you recognise the following aspects in yourself: Experience : you have at least 8 -10 years of applicable work experience. You have gained that experience within a corporate, government, start-up / scale-up or as a consultant. Experience as a management or strategy consultant is ideal, with a focus on energy or climate change. Expertise : You have a Digital or data background. Energy : You are passionate about the opportunities and challenges in the Energy and Utility space. You are customer-oriented and at your best when, as part of a team with a high focus on results, you can help customers solve challenging strategic and organisational issues. External network : You have a network within the Energy and Utility space, and you have demonstrated ability to develop strategic client relationships, working at the senior levels to sell value-added consulting assignments. Strong leadership skills : You have an ability to mobilise, inspire and manage teams. Excellent communication skills , both verbal and written. You are a strong communicator and have developed a personal brand. Additional information Private medical insurance 25 days annual leave with the opportunity to buy 5 additional days Company pension scheme Annual performance-based bonus Life and Income protection insurance Tax efficient benefits (cycle to work, give as you earn) Additional optional benefits (Dental, critical illness, PA Share Ownership and spouse/partner life assurance) Life At PA Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. We believe diversity fuels ingenuity. Diversity of thought brings exciting perspectives; diversity of experience brings a wealth of knowledge, and diversity of skills brings the tools we need. When we bring people together with diverse backgrounds, identities, and minds, embracing that difference through an inclusive culture where our people thrive; we unleash the power of diversity - bringing ingenuity to life. We are dedicated to supporting the physical, emotional, social and financial well-being of our people. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief veteran status, or other by any other range of human difference brought about by identity and experience. We are on a journey towards ensuring our workforce is diverse at all levels and that our firm is representative of the world around us. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.
Senior Data Scientist Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to . We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It's important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table - so we'd love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help. ABOUT US Capco is global technology and business consultancy with a focus on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry, combining innovative thinking with unique expert know-how. The solutions we offer our customers every day are as diverse as our employees. We are/have: Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains. Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to help us get there Focused on maintaining our nimble, agile and entrepreneurial culture. What we're looking for: As part of our on-going global expansion strategy, we are currently hiring Senior Data Scientists as Capco continues to grow it's UK Data Practice in our London office. The Senior Data Scientist should be experienced in using statistical, algorithmic, mining and/or visualisation techniques to address complex business problems. You will be an SME on data science / ML solutions and use case development. The successful candidate will advise the Data Scientists and Engineers on technical requirements around the model design, model architecture, model calibration, solution design, and solutions output In addition to this, they will be expected to leverage their expertise to train and grow Data Scientists at a range of experience levels. Responsibilities Develop prototype and proof of concept solutions making use of cutting-edge AI, machine learning and statistical approaches to solve real-world and business problems Technically lead multiple pods of data science & engineers to develop solutions from a business problem into POCs, MVPs, or fully-fledged solutions while collaborating closely with domain experts. Help transition from development environment to production Act as a subject matter expert in data science and machine learning and coach other data scientists Essential skills Analytics, modelling or software development experience including coding/software development skills. In particular: Hands-on experience in building and implementing data science and machine learning solutions to tackle business problems Comfort with rapid prototyping and disciplined software development processes Experience with Python, ML libraries (e.g. spaCy, NumPy, SciPy, Transformers, etc.)data tools and technologies (Spark, Hadoop, Hive, Redshift, SQL), and toolkits for ML and deep learning (SparkML, Tensorflow, Keras) Demonstrated ability to work on multi-disciplinary teams with diverse skillsets Deploying machine learning models and systems to production (DevOps, MLOps, CI/CD) Experience of working in cloud environments (Azure, GCP, AWS) You are also expected to have: Higher level degree (MsC/PhD) in a numerate discipline. Excellent leadership skills Able to articulate complex data science concepts to both technical and non-technical audiences Banking and/or Financial Services experience. Bonus points: Entries into Kaggle Competitions Creativity, resourcefulness and a collaborative spirit Data at Capco Capco's global Data Practice of 800+ practitioners are an established team of data strategists, analysts, scientists, architects, and engineers who help client teams harness the power of data to drive insight, optimise performance, and commercialise data opportunities. We enable financial institutions to become data-driven by helping transform their understanding, and use of data to derive value. We translate strategy into action - designing, implementing, and mobilising innovative data capabilities with a focus on efficiency and scalability, and partnering with leading vendors and industry bodies. Collaboration, enthusiasm, and encouragement are key in ensuring we maintain our culture through working in an environment where clients become colleagues. We are looking for a candidate who will empower the team, drive high standards, grow the capability, and deliver customer focused outcomes. Our clients and peers have voted us as the A-Team Best Consultancy in Data Management in consecutive years, valuing our ability to identify and develop top data talent. In addition to this, we have proudly won both the Best Consultancy (2022) in the British Banking Awards and the Best ESG Data & Technology Consultancy as part of the annual ESG Insight Awards. WHY JOIN CAPCO? You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer: A work culture focused on innovation and creating lasting value for our clientsand employees Ongoing learning opportunities to help you acquire new skills or deepenexisting expertise A flat, non-hierarchical structure that will enable you to work with senior partnersand directly with clients A diverse, inclusive, meritocratic culture Enhanced and competitive family friendly benefits, including maternity / adoption / shared parental leave and paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement.
Apr 16, 2024
Full time
Senior Data Scientist Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to . We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It's important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table - so we'd love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help. ABOUT US Capco is global technology and business consultancy with a focus on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry, combining innovative thinking with unique expert know-how. The solutions we offer our customers every day are as diverse as our employees. We are/have: Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains. Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to help us get there Focused on maintaining our nimble, agile and entrepreneurial culture. What we're looking for: As part of our on-going global expansion strategy, we are currently hiring Senior Data Scientists as Capco continues to grow it's UK Data Practice in our London office. The Senior Data Scientist should be experienced in using statistical, algorithmic, mining and/or visualisation techniques to address complex business problems. You will be an SME on data science / ML solutions and use case development. The successful candidate will advise the Data Scientists and Engineers on technical requirements around the model design, model architecture, model calibration, solution design, and solutions output In addition to this, they will be expected to leverage their expertise to train and grow Data Scientists at a range of experience levels. Responsibilities Develop prototype and proof of concept solutions making use of cutting-edge AI, machine learning and statistical approaches to solve real-world and business problems Technically lead multiple pods of data science & engineers to develop solutions from a business problem into POCs, MVPs, or fully-fledged solutions while collaborating closely with domain experts. Help transition from development environment to production Act as a subject matter expert in data science and machine learning and coach other data scientists Essential skills Analytics, modelling or software development experience including coding/software development skills. In particular: Hands-on experience in building and implementing data science and machine learning solutions to tackle business problems Comfort with rapid prototyping and disciplined software development processes Experience with Python, ML libraries (e.g. spaCy, NumPy, SciPy, Transformers, etc.)data tools and technologies (Spark, Hadoop, Hive, Redshift, SQL), and toolkits for ML and deep learning (SparkML, Tensorflow, Keras) Demonstrated ability to work on multi-disciplinary teams with diverse skillsets Deploying machine learning models and systems to production (DevOps, MLOps, CI/CD) Experience of working in cloud environments (Azure, GCP, AWS) You are also expected to have: Higher level degree (MsC/PhD) in a numerate discipline. Excellent leadership skills Able to articulate complex data science concepts to both technical and non-technical audiences Banking and/or Financial Services experience. Bonus points: Entries into Kaggle Competitions Creativity, resourcefulness and a collaborative spirit Data at Capco Capco's global Data Practice of 800+ practitioners are an established team of data strategists, analysts, scientists, architects, and engineers who help client teams harness the power of data to drive insight, optimise performance, and commercialise data opportunities. We enable financial institutions to become data-driven by helping transform their understanding, and use of data to derive value. We translate strategy into action - designing, implementing, and mobilising innovative data capabilities with a focus on efficiency and scalability, and partnering with leading vendors and industry bodies. Collaboration, enthusiasm, and encouragement are key in ensuring we maintain our culture through working in an environment where clients become colleagues. We are looking for a candidate who will empower the team, drive high standards, grow the capability, and deliver customer focused outcomes. Our clients and peers have voted us as the A-Team Best Consultancy in Data Management in consecutive years, valuing our ability to identify and develop top data talent. In addition to this, we have proudly won both the Best Consultancy (2022) in the British Banking Awards and the Best ESG Data & Technology Consultancy as part of the annual ESG Insight Awards. WHY JOIN CAPCO? You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer: A work culture focused on innovation and creating lasting value for our clientsand employees Ongoing learning opportunities to help you acquire new skills or deepenexisting expertise A flat, non-hierarchical structure that will enable you to work with senior partnersand directly with clients A diverse, inclusive, meritocratic culture Enhanced and competitive family friendly benefits, including maternity / adoption / shared parental leave and paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement.
We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analysing data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimisation and using models to test the effectiveness of different courses of action. They must have experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. He/She/Ze must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. The Candidate You will be responsible for executing end-to-end advanced analytics/data science projects. Strong technical knowledge of designing bespoke AI and ML algorithms. Sound knowledge on applying various machine learning techniques in production levels. Business understanding - capturing and proactively initiating analysis requirements and defining success metrics. Data understanding - identifying and validating sources of data. Data preparation - extracting, merging and cleaning data from a variety of sources. Communicating clear recommendations and action plans to stakeholders. Having the skills needed to exploit the data and managing the issues of data privacy and security. Leverage high technical skill and ability to support the development of innovative data solutions which can differentiate and drive growth for MEDIPROSPECTS AI. Key Activities Promotional Effectiveness, Sensitivity and ROI Modelling, Multi-channel Strategy Analysis. Innovative Segmentation and Targeting techniques, customer and geography restructures. Customer Intelligence to understand the needs and Priorities for the NHS. Sub-National Business Tool Management, analysis, including potential customer engagement. You have a strong software engineering background and are capable of engaging in technical conversations and challenging teams to arrive at strong technical decisions themselves. Experienced with managing people and debugging issues in teams. Comfortable working with high-performing engineering teams who have a strong sense of autonomy in their decision making, be it technical or product focussed. While you're great with people and adept at managing relationships, you still keep up-to-date with the latest technical trends and shifts in order to maintain and enhance your understanding of the challenges your teams face. Qualifications Skills & Experience A postgraduate degree preferably PhD in a numerate discipline and a minimum of 2 years working in a hands-on technical analytics/data science role within a customer data analytics team would be beneficial though not essential. Demonstrable end-to-end analytics / data science project lifecycle experience with a track record in being able to spot opportunities and drive them through to delivery. Passionate about analytics / data science. Up-to-date with the latest developments. A desire and ability to research and pick up new tools and techniques quickly is essential. Some Experience in running various methods like Regression, Random forest, k-NN, k-Means, boosted trees, SVM, Neural Network, text mining, NLP, statistical modelling, data mining, exploratory data analysis, statistics (hypothesis testing, descriptive statistics). Experience of manipulating large quantities of high-dimensional data. Ability to extract, clean, and combine data from a variety of sources and ensure high levels of data quality. Ability to build predictive models and customer segmentations. Solid understanding of machine learning techniques. Ability to communicate findings and recommendations clearly at all levels of the organisation. Strategic Thinking - Support the delivery of the MEDIPROSPECTS AI analytics strategy working alongside the Data Solutions Team Manager, by providing high quality data and analytical solutions. Interpersonal requirements Highly effective and confident communicator with the ability to influence outcomes at all levels of the business. Teamwork is crucial. To be truly successful, you will need to navigate a complex matrix, build meaningful relationships along the way, ask for help, and offer help to others. You will be part of a highly collaborative UK HR team, and as such you will work across site and country boundaries on key HR initiatives. Strong leadership skills. Resilient and can demonstrate that you embrace challenges, with tenacity to always do the right thing, while driving the business forward. Embraces diversity and has professional experience in working in different places, different industries and different geographies. Ability to form impactful and trusted partnerships across the network and ensure sustained, fruitful and meaningful collaboration with all relevant stakeholders. Your role at Mediprospects.ai is integral to helping the world meet new breakthroughs that affect generations to come, and we're counting on your skills and inventiveness to help make meaningful contributions to global medical advancement. At Mediprospects AI, we're inventing for life and unlocking the human potential. Mediprospects AI is not accepting unsolicited assistance from search firms / recruitment agencies for this employment opportunity. Please, no phone calls or emails. All resumes should be submitted directly to and for any informal discussion, please contact to . Job: Market Research & Analytics Job Type: Permanent Salary: £55,000 to £80,000 per year based on experiences Job Segment: AI, Data Science, Medical, Technology, Healthcare, Research The benefits Competitive salary and share options Unlimited holiday Private health insurance Free catered lunches, snacks and team bonding Enhanced maternity & paternity leave Free healthcare and life assurance Career development, coaching and training
Apr 16, 2024
Full time
We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analysing data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimisation and using models to test the effectiveness of different courses of action. They must have experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. He/She/Ze must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. The Candidate You will be responsible for executing end-to-end advanced analytics/data science projects. Strong technical knowledge of designing bespoke AI and ML algorithms. Sound knowledge on applying various machine learning techniques in production levels. Business understanding - capturing and proactively initiating analysis requirements and defining success metrics. Data understanding - identifying and validating sources of data. Data preparation - extracting, merging and cleaning data from a variety of sources. Communicating clear recommendations and action plans to stakeholders. Having the skills needed to exploit the data and managing the issues of data privacy and security. Leverage high technical skill and ability to support the development of innovative data solutions which can differentiate and drive growth for MEDIPROSPECTS AI. Key Activities Promotional Effectiveness, Sensitivity and ROI Modelling, Multi-channel Strategy Analysis. Innovative Segmentation and Targeting techniques, customer and geography restructures. Customer Intelligence to understand the needs and Priorities for the NHS. Sub-National Business Tool Management, analysis, including potential customer engagement. You have a strong software engineering background and are capable of engaging in technical conversations and challenging teams to arrive at strong technical decisions themselves. Experienced with managing people and debugging issues in teams. Comfortable working with high-performing engineering teams who have a strong sense of autonomy in their decision making, be it technical or product focussed. While you're great with people and adept at managing relationships, you still keep up-to-date with the latest technical trends and shifts in order to maintain and enhance your understanding of the challenges your teams face. Qualifications Skills & Experience A postgraduate degree preferably PhD in a numerate discipline and a minimum of 2 years working in a hands-on technical analytics/data science role within a customer data analytics team would be beneficial though not essential. Demonstrable end-to-end analytics / data science project lifecycle experience with a track record in being able to spot opportunities and drive them through to delivery. Passionate about analytics / data science. Up-to-date with the latest developments. A desire and ability to research and pick up new tools and techniques quickly is essential. Some Experience in running various methods like Regression, Random forest, k-NN, k-Means, boosted trees, SVM, Neural Network, text mining, NLP, statistical modelling, data mining, exploratory data analysis, statistics (hypothesis testing, descriptive statistics). Experience of manipulating large quantities of high-dimensional data. Ability to extract, clean, and combine data from a variety of sources and ensure high levels of data quality. Ability to build predictive models and customer segmentations. Solid understanding of machine learning techniques. Ability to communicate findings and recommendations clearly at all levels of the organisation. Strategic Thinking - Support the delivery of the MEDIPROSPECTS AI analytics strategy working alongside the Data Solutions Team Manager, by providing high quality data and analytical solutions. Interpersonal requirements Highly effective and confident communicator with the ability to influence outcomes at all levels of the business. Teamwork is crucial. To be truly successful, you will need to navigate a complex matrix, build meaningful relationships along the way, ask for help, and offer help to others. You will be part of a highly collaborative UK HR team, and as such you will work across site and country boundaries on key HR initiatives. Strong leadership skills. Resilient and can demonstrate that you embrace challenges, with tenacity to always do the right thing, while driving the business forward. Embraces diversity and has professional experience in working in different places, different industries and different geographies. Ability to form impactful and trusted partnerships across the network and ensure sustained, fruitful and meaningful collaboration with all relevant stakeholders. Your role at Mediprospects.ai is integral to helping the world meet new breakthroughs that affect generations to come, and we're counting on your skills and inventiveness to help make meaningful contributions to global medical advancement. At Mediprospects AI, we're inventing for life and unlocking the human potential. Mediprospects AI is not accepting unsolicited assistance from search firms / recruitment agencies for this employment opportunity. Please, no phone calls or emails. All resumes should be submitted directly to and for any informal discussion, please contact to . Job: Market Research & Analytics Job Type: Permanent Salary: £55,000 to £80,000 per year based on experiences Job Segment: AI, Data Science, Medical, Technology, Healthcare, Research The benefits Competitive salary and share options Unlimited holiday Private health insurance Free catered lunches, snacks and team bonding Enhanced maternity & paternity leave Free healthcare and life assurance Career development, coaching and training
GRADUATE/JUNIOR SOFTWARE DEVELOPER - LONDON/REMOTE/HYBRID Graduate Software Developer, Junior Software Developer, Java, C++, C, Python, JavaScript, C#, .Net, SQL, Ruby on Rails, Machine Learning, Data Science, Data Engineering, Agile If you are driven by innovation and want to be at the forefront of ground breaking solutions that shape the future of finance, please read on. Join a team of brilliant Software Engineers, Data Scientists, and R&D Engineers in a collaborative environment to develop cutting-edge software solutions that address the most complex challenges in finance. From advanced algorithmic trading systems and predictive analytics platforms to blockchain-based solutions and decentralized finance (DeFi) applications, they leverage emerging technologies to transform the financial landscape. Agility and adaptability are the keys to success in a rapidly evolving industry. They embrace continuous integration and delivery practices, ensuring that products are always up-to-date and responsive to the ever-changing needs of clients and the market. A highly iterative approach allows them to rapidly prototype, test, and refine solutions. Data is the lifeblood of finance, and they specialize in developing sophisticated data analytics platforms and machine learning models that extract valuable insights from vast volumes of financial data. Their solutions empower businesses and individuals to make informed decisions, optimise operations, and seize new opportunities in the market. Fuelled by a culture of collaboration, innovation, and constant learning, the goal is to foster an environment that encourages team members to think outside the box, challenge conventions, and bring their unique perspectives to the table. They value diversity and believe that the best ideas come from embracing different backgrounds and experiences. You can expect ample opportunities for professional growth and development, empowering you to stay ahead of the curve and make a meaningful impact in the fintech space. Key Responsibilities: Collaborate with cross-functional teams to design, develop, and deliver high-quality software solutions that meet clients' needs. Write efficient, clean, and maintainable code while adhering to best practices and coding standards. Participate in all phases of the software development life cycle, from requirements gathering and analysis to testing, deployment, and maintenance. Identify and troubleshoot issues, debug code, and propose innovative solutions to optimize software performance. Stay up-to-date with the latest industry trends, technologies, and frameworks, and apply this knowledge to enhance our software offerings. Qualifications: Bachelor's, Master's or PhD degree a STEM field from a top 20 ranked University. A-Levels ABB or above Proficiency in multiple programming languages such as Java, Python, C++, or JavaScript. Excellent problem-solving skills and a strong attention to detail. Ability to work collaboratively in a team environment, as well as independently on projects. Effective communication skills to articulate complex ideas and technical concepts to non-technical stakeholders. Desirable: Understanding of software development principles, data structures, algorithms, and design patterns. Why Join Us: Be part of an innovative, forward-thinking company that is at the forefront of cutting-edge technology. Work in a dynamic, collaborative, and inclusive environment where your ideas and contributions are valued. Take on exciting, challenging projects that will stretch your skills and expand your expertise. Access to professional development opportunities to enhance your knowledge and grow your career. Competitive salary and benefits package, including health insurance, retirement plans, and more. Flexible work arrangements to support a healthy work-life balance. If you're ready to embark on an exhilarating journey and make a significant impact in fin-tech, we want to hear from you! Please apply as soon as possible! GRADUATE/JUNIOR SOFTWARE DEVELOPER - LONDON/REMOTE/HYBRID
Apr 16, 2024
Full time
GRADUATE/JUNIOR SOFTWARE DEVELOPER - LONDON/REMOTE/HYBRID Graduate Software Developer, Junior Software Developer, Java, C++, C, Python, JavaScript, C#, .Net, SQL, Ruby on Rails, Machine Learning, Data Science, Data Engineering, Agile If you are driven by innovation and want to be at the forefront of ground breaking solutions that shape the future of finance, please read on. Join a team of brilliant Software Engineers, Data Scientists, and R&D Engineers in a collaborative environment to develop cutting-edge software solutions that address the most complex challenges in finance. From advanced algorithmic trading systems and predictive analytics platforms to blockchain-based solutions and decentralized finance (DeFi) applications, they leverage emerging technologies to transform the financial landscape. Agility and adaptability are the keys to success in a rapidly evolving industry. They embrace continuous integration and delivery practices, ensuring that products are always up-to-date and responsive to the ever-changing needs of clients and the market. A highly iterative approach allows them to rapidly prototype, test, and refine solutions. Data is the lifeblood of finance, and they specialize in developing sophisticated data analytics platforms and machine learning models that extract valuable insights from vast volumes of financial data. Their solutions empower businesses and individuals to make informed decisions, optimise operations, and seize new opportunities in the market. Fuelled by a culture of collaboration, innovation, and constant learning, the goal is to foster an environment that encourages team members to think outside the box, challenge conventions, and bring their unique perspectives to the table. They value diversity and believe that the best ideas come from embracing different backgrounds and experiences. You can expect ample opportunities for professional growth and development, empowering you to stay ahead of the curve and make a meaningful impact in the fintech space. Key Responsibilities: Collaborate with cross-functional teams to design, develop, and deliver high-quality software solutions that meet clients' needs. Write efficient, clean, and maintainable code while adhering to best practices and coding standards. Participate in all phases of the software development life cycle, from requirements gathering and analysis to testing, deployment, and maintenance. Identify and troubleshoot issues, debug code, and propose innovative solutions to optimize software performance. Stay up-to-date with the latest industry trends, technologies, and frameworks, and apply this knowledge to enhance our software offerings. Qualifications: Bachelor's, Master's or PhD degree a STEM field from a top 20 ranked University. A-Levels ABB or above Proficiency in multiple programming languages such as Java, Python, C++, or JavaScript. Excellent problem-solving skills and a strong attention to detail. Ability to work collaboratively in a team environment, as well as independently on projects. Effective communication skills to articulate complex ideas and technical concepts to non-technical stakeholders. Desirable: Understanding of software development principles, data structures, algorithms, and design patterns. Why Join Us: Be part of an innovative, forward-thinking company that is at the forefront of cutting-edge technology. Work in a dynamic, collaborative, and inclusive environment where your ideas and contributions are valued. Take on exciting, challenging projects that will stretch your skills and expand your expertise. Access to professional development opportunities to enhance your knowledge and grow your career. Competitive salary and benefits package, including health insurance, retirement plans, and more. Flexible work arrangements to support a healthy work-life balance. If you're ready to embark on an exhilarating journey and make a significant impact in fin-tech, we want to hear from you! Please apply as soon as possible! GRADUATE/JUNIOR SOFTWARE DEVELOPER - LONDON/REMOTE/HYBRID
Are you in your penultimate year of study and looking to work in a fast paced, global, market leading company for your industrial placement? Here at Innovative Technology we have an excellent opportunity for a Data Science Intern to join our talented team in our global head office in Oldham, Manchester for 12 months starting in Summer 2024. The Role Overview: As a Data Science Intern, at Innovative Technology you'll work closely with our experienced team of Data Scientists to support the research and development of both traditional and cutting-edge machine learning algorithms for use with current and future product ranges. Whether you're researching, developing or implementing machine learning algorithms, you'll have an opportunity to showcase your data science skills while being responsible for progress of your own project and its development. Here at Innovative Technology we give our placements the ability to demonstrate their understanding of their specialist subject while getting invaluable industry experience. This position is suited to a student in their penultimate year of University who has an eagerness to learn and to make the most of an opportunity to experience working with professionals in their chosen field. Your Responsibilities: In a fast-paced environment that offers opportunities to create and to develop, our Data Scientists are applying all aspects of their learning while delivering against targets, supporting and improving the accuracy and performance of our validators and ensuring they can deliver in the field with real acceptance and counterfeit rejection. Our Data Scientists have exposure to all elements of data science and their role includes - but is not limited to - the following: Research Investigating and resolving issues through data diagnostics Assisting technical leads in providing twice yearly updates to the validation algorithm Planning and implementing improvements to the validation algorithms, including (but not limited to): image processing and feature extraction 1D signals classification image classification data management within the processing pipeline. As our intern, you would be given a project within one or more of those areas and, with the assistance of more senior members of the team, you would make it a reality. You would receive support and training on the technical aspects of the project, but you would have the opportunity to research and decide on the best ways to pursue it. Qualifications: An undergraduate working towards a degree in either Data Science, Mathematics, Computer Science or a similar related subject. Your Skills & and Experience: A superficial understanding of machine learning techniques and algorithms. Some experience of programming in Python, or similar associated tools. An excellent communicator who's analytically minded with a practical approach to solving problems. Your Package & Perks: A competitive salary Flexible working hours Paid breaks, with free hot premium drinks 32 days holiday (including public holidays) and the opportunity to earn up to an extra 13 days holiday each year Enhanced Pension Contribution A choice of healthcare schemes Dental Scheme Life Insurance Onsite electric car charging points and staff car workshop Free secure parking Free onsite modern gym Educational Sponsorship Cycle to Work Scheme Informal dress code We're Innovative Trading for over 30 years here at Innovative Technology, where we now have offices on five continents and employ around 400 people, with over 150 based from our state-of-the-art R&D hub. From self-service checkouts to arcade machines, we provide our retail, banking, kiosk, vending, gaming and amusement customers with products and services that help them securely accept automated payments, with our industry-leading technology keeping us at the forefront of our sector. We also provide facial analysis technology for age estimation and control access for some of the world's leading companies. By being true to our values of Innovation, Collaboration, Respect and Drive we've seen significant growth and won numerous domestic and international awards, whilst offering outstanding career opportunities and great benefits. You'll find us on the edge of the Pennines and less than half an hour from central Manchester, with modern offices, free parking and excellent transport links. We are a disability-confident employer, as such we will shortlist all candidates meeting our minimum criteria (as specified in the job description) who state they have a disability within their application. What's next? If you're looking to develop as a Data Scientist throughout your Industrial Placement Year and want to join our award-winning team on the latest cutting-edge technology we want to hear from you. A better way Through our people, drive and commitment we push boundaries to deliver innovative products and services.
Apr 15, 2024
Full time
Are you in your penultimate year of study and looking to work in a fast paced, global, market leading company for your industrial placement? Here at Innovative Technology we have an excellent opportunity for a Data Science Intern to join our talented team in our global head office in Oldham, Manchester for 12 months starting in Summer 2024. The Role Overview: As a Data Science Intern, at Innovative Technology you'll work closely with our experienced team of Data Scientists to support the research and development of both traditional and cutting-edge machine learning algorithms for use with current and future product ranges. Whether you're researching, developing or implementing machine learning algorithms, you'll have an opportunity to showcase your data science skills while being responsible for progress of your own project and its development. Here at Innovative Technology we give our placements the ability to demonstrate their understanding of their specialist subject while getting invaluable industry experience. This position is suited to a student in their penultimate year of University who has an eagerness to learn and to make the most of an opportunity to experience working with professionals in their chosen field. Your Responsibilities: In a fast-paced environment that offers opportunities to create and to develop, our Data Scientists are applying all aspects of their learning while delivering against targets, supporting and improving the accuracy and performance of our validators and ensuring they can deliver in the field with real acceptance and counterfeit rejection. Our Data Scientists have exposure to all elements of data science and their role includes - but is not limited to - the following: Research Investigating and resolving issues through data diagnostics Assisting technical leads in providing twice yearly updates to the validation algorithm Planning and implementing improvements to the validation algorithms, including (but not limited to): image processing and feature extraction 1D signals classification image classification data management within the processing pipeline. As our intern, you would be given a project within one or more of those areas and, with the assistance of more senior members of the team, you would make it a reality. You would receive support and training on the technical aspects of the project, but you would have the opportunity to research and decide on the best ways to pursue it. Qualifications: An undergraduate working towards a degree in either Data Science, Mathematics, Computer Science or a similar related subject. Your Skills & and Experience: A superficial understanding of machine learning techniques and algorithms. Some experience of programming in Python, or similar associated tools. An excellent communicator who's analytically minded with a practical approach to solving problems. Your Package & Perks: A competitive salary Flexible working hours Paid breaks, with free hot premium drinks 32 days holiday (including public holidays) and the opportunity to earn up to an extra 13 days holiday each year Enhanced Pension Contribution A choice of healthcare schemes Dental Scheme Life Insurance Onsite electric car charging points and staff car workshop Free secure parking Free onsite modern gym Educational Sponsorship Cycle to Work Scheme Informal dress code We're Innovative Trading for over 30 years here at Innovative Technology, where we now have offices on five continents and employ around 400 people, with over 150 based from our state-of-the-art R&D hub. From self-service checkouts to arcade machines, we provide our retail, banking, kiosk, vending, gaming and amusement customers with products and services that help them securely accept automated payments, with our industry-leading technology keeping us at the forefront of our sector. We also provide facial analysis technology for age estimation and control access for some of the world's leading companies. By being true to our values of Innovation, Collaboration, Respect and Drive we've seen significant growth and won numerous domestic and international awards, whilst offering outstanding career opportunities and great benefits. You'll find us on the edge of the Pennines and less than half an hour from central Manchester, with modern offices, free parking and excellent transport links. We are a disability-confident employer, as such we will shortlist all candidates meeting our minimum criteria (as specified in the job description) who state they have a disability within their application. What's next? If you're looking to develop as a Data Scientist throughout your Industrial Placement Year and want to join our award-winning team on the latest cutting-edge technology we want to hear from you. A better way Through our people, drive and commitment we push boundaries to deliver innovative products and services.
As a Senior Data Scientist, the candidate will work closely with Product and Engineering teams and will play a significant role in team responsible for building the AI and Analytics capabilities that power the Insurwave platform. The team is self-sufficient and fully responsible for design, development, testing, delivery, and support of the solutions. The candidate will be working across the full ML development lifecycle: data wrangling, model build, model evaluation, model deployment and model monitoring. The candidate will actively participate in these processes and will be leading and making technology and design decisions. The candidate will build solutions aligned with company-wide rules of engagement and standards and will work closely with Head of Data and AI to improve them when needed. The candidate will support team members growth and promote an open, learning culture. Responsibilities Lead and manage complex data science projects from conception to deployment, including defining project scope, timelines, and deliverables. Build high-performing AI/ML models that meet business-defined performance metrics, ensuring scalability, efficiency, and reliability. Develop and deploy production-ready data science code and models using fully automated processes, including Continuous Integration/Continuous Deployment (CI/CD) and testing frameworks. Continuously improve the performance, security, architecture, and maintainability of owned services through iterative development and optimization. Work closely with data analysts, data engineers, data scientists, and other business areas to ensure solutions are aligned with requirements, delivered according to plans, and developed to expected quality and security standards. Work closely with AI product manager to review model monitoring reports and analyse datasets in order to inform model improvement needs. Provide technical leadership and mentorship to junior data scientists, fostering a culture of learning, collaboration, and continuous improvement. Ensure the team adheres to defined best practices, standards, and processes, promoting excellence in technical execution and project delivery. Stay current with the latest advancements in data science and machine learning research and propose innovative solutions to address business challenges. Insurwave is where insurance buyers consolidate and visualise their data to understand their risk and make smarter transfer decisions. Our platform offers an integrated insurance management experience, from collecting and consolidating risk data to its distribution to all parties involved, keeping everyone in the insurance value chain connected and up-to-date. In one place, companies buying and selling risk can harness insightful data, view business exposure changes in real-time and automate time-consuming tasks to focus on what they do best.
Apr 15, 2024
Full time
As a Senior Data Scientist, the candidate will work closely with Product and Engineering teams and will play a significant role in team responsible for building the AI and Analytics capabilities that power the Insurwave platform. The team is self-sufficient and fully responsible for design, development, testing, delivery, and support of the solutions. The candidate will be working across the full ML development lifecycle: data wrangling, model build, model evaluation, model deployment and model monitoring. The candidate will actively participate in these processes and will be leading and making technology and design decisions. The candidate will build solutions aligned with company-wide rules of engagement and standards and will work closely with Head of Data and AI to improve them when needed. The candidate will support team members growth and promote an open, learning culture. Responsibilities Lead and manage complex data science projects from conception to deployment, including defining project scope, timelines, and deliverables. Build high-performing AI/ML models that meet business-defined performance metrics, ensuring scalability, efficiency, and reliability. Develop and deploy production-ready data science code and models using fully automated processes, including Continuous Integration/Continuous Deployment (CI/CD) and testing frameworks. Continuously improve the performance, security, architecture, and maintainability of owned services through iterative development and optimization. Work closely with data analysts, data engineers, data scientists, and other business areas to ensure solutions are aligned with requirements, delivered according to plans, and developed to expected quality and security standards. Work closely with AI product manager to review model monitoring reports and analyse datasets in order to inform model improvement needs. Provide technical leadership and mentorship to junior data scientists, fostering a culture of learning, collaboration, and continuous improvement. Ensure the team adheres to defined best practices, standards, and processes, promoting excellence in technical execution and project delivery. Stay current with the latest advancements in data science and machine learning research and propose innovative solutions to address business challenges. Insurwave is where insurance buyers consolidate and visualise their data to understand their risk and make smarter transfer decisions. Our platform offers an integrated insurance management experience, from collecting and consolidating risk data to its distribution to all parties involved, keeping everyone in the insurance value chain connected and up-to-date. In one place, companies buying and selling risk can harness insightful data, view business exposure changes in real-time and automate time-consuming tasks to focus on what they do best.
About The Role Team - Data Engineering - Enterprise Working Pattern - Hybrid - 2 days per week in the Vitality Bournemouth or London Offices. Full time hours. We are happy to discuss flexible working! What this role is all about: The ML Engineer role will be responsible for delivering the underlying data and APIs to support the implementation of innovative machine learning applications. You will enjoy working with rich datasets, cutting edge technology and help shape new data pipeline in an innovative company that helps people live healthier lives. The right candidate will possess a desire to consistently deliver exceptional results on set timelines. Travel will be required on a weekly basis between our different Office locations. Key Actions You will work with Data Engineering team to implement robust and trustworthy data to support high-performance kakfa streams and predictive models. Deploy and maintain machine learning models as APIs for use in our live environments. Employ a variety of languages and tools (e.g. scripting languages) to develop and manage robust data pipelines connecting various systems You will help develop datasets and processes that facilitate data modelling, mining and production Provide clean, usable data to data community and recommend ways to improve data reliability, efficiency and quality. You will have the chance to research opportunities for data acquisition and new uses for existing data Essential Skills needed to fulfil this role: Bachelor's degree in Information Technology/Sciences/Maths 3+ years of experience in business intelligence, data warehousing, data management and data delivery, database and ETL technologies Experience using languages / tools / databases such as SQL and NoSQL, Python. Strong experience with Google Cloud Platform, particularly GKE and Google BigQuery Work with the data engineers and data scientist conveying the design and implementation for the programmes and ensuring adherence to the technology principles and processes. You must have excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders. You will have experience developing, deploying and maintaining machine learning APIs So, what's in it for you? Bonus Schemes - A bonus that regularly rewards you for your performance A pension of up to 12%- We will match your contributions up to 6% of your salary Our award-winning Vitality health insurance - With its own set of rewards and benefits when you are engaging with the programme Life Assurance - Four times annual salary These are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page. Fantastic Benefits. Exciting rewards. Great career opportunities! If you are successful in your application and join us at Vitality, this is our promise to you, w e will: Help you to be the healthiest you've ever been. Create an environment that embraces you as you are and enables you to be your best self. Give you flexibility on how, where and when you work. Help you advance your career by playing you to your strengths. Give you a voice to help our business grow and make Vitality a great place to be. Give you the space to try, fail and learn. Provide a healthy balance of challenge and support. Recognise and reward you with a competitive salary and amazing benefits. Be there for you when you need us. Provide opportunities for you to be a force for good in society. We commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy. About The Company Vitality is a multi-award-winning UK insurance brand, here to make the world a healthier, happier place.We've been a purpose and values-driven business from day 1- long before it became fashionable. Our core purpose is to make people healthier and enhance protect their lives. Vitality pioneered shared-value insurance. We incentivise people to live healthier longer lives - they benefit, our business benefits, and society benefits. We're successful because we attract, develop, and retain the best people - and because we care.Plus, you get to join our 1.7+ million members with access to our unique health insurance and healthy living programme. Just to make sure you know our products inside and out. Ready to find out if we're the right fit for you? We can't wait. Diversity & Inclusion We're committed to diversity and inclusion because it's good for our employees, for our business, and for society. To learn more please visit our Careers page. Vitality's approach to sustainability Vitality is a business that drives positive change. We reward people for making and sustaining healthier choices. But healthy people also need a healthy environment. To learn more please visit our Careers page. If we are fortunate in receiving a high volume of quality applications we may need to close this vacancy early. If you are interested, please submit your application as soon as possible.
Apr 15, 2024
Full time
About The Role Team - Data Engineering - Enterprise Working Pattern - Hybrid - 2 days per week in the Vitality Bournemouth or London Offices. Full time hours. We are happy to discuss flexible working! What this role is all about: The ML Engineer role will be responsible for delivering the underlying data and APIs to support the implementation of innovative machine learning applications. You will enjoy working with rich datasets, cutting edge technology and help shape new data pipeline in an innovative company that helps people live healthier lives. The right candidate will possess a desire to consistently deliver exceptional results on set timelines. Travel will be required on a weekly basis between our different Office locations. Key Actions You will work with Data Engineering team to implement robust and trustworthy data to support high-performance kakfa streams and predictive models. Deploy and maintain machine learning models as APIs for use in our live environments. Employ a variety of languages and tools (e.g. scripting languages) to develop and manage robust data pipelines connecting various systems You will help develop datasets and processes that facilitate data modelling, mining and production Provide clean, usable data to data community and recommend ways to improve data reliability, efficiency and quality. You will have the chance to research opportunities for data acquisition and new uses for existing data Essential Skills needed to fulfil this role: Bachelor's degree in Information Technology/Sciences/Maths 3+ years of experience in business intelligence, data warehousing, data management and data delivery, database and ETL technologies Experience using languages / tools / databases such as SQL and NoSQL, Python. Strong experience with Google Cloud Platform, particularly GKE and Google BigQuery Work with the data engineers and data scientist conveying the design and implementation for the programmes and ensuring adherence to the technology principles and processes. You must have excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders. You will have experience developing, deploying and maintaining machine learning APIs So, what's in it for you? Bonus Schemes - A bonus that regularly rewards you for your performance A pension of up to 12%- We will match your contributions up to 6% of your salary Our award-winning Vitality health insurance - With its own set of rewards and benefits when you are engaging with the programme Life Assurance - Four times annual salary These are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page. Fantastic Benefits. Exciting rewards. Great career opportunities! If you are successful in your application and join us at Vitality, this is our promise to you, w e will: Help you to be the healthiest you've ever been. Create an environment that embraces you as you are and enables you to be your best self. Give you flexibility on how, where and when you work. Help you advance your career by playing you to your strengths. Give you a voice to help our business grow and make Vitality a great place to be. Give you the space to try, fail and learn. Provide a healthy balance of challenge and support. Recognise and reward you with a competitive salary and amazing benefits. Be there for you when you need us. Provide opportunities for you to be a force for good in society. We commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy. About The Company Vitality is a multi-award-winning UK insurance brand, here to make the world a healthier, happier place.We've been a purpose and values-driven business from day 1- long before it became fashionable. Our core purpose is to make people healthier and enhance protect their lives. Vitality pioneered shared-value insurance. We incentivise people to live healthier longer lives - they benefit, our business benefits, and society benefits. We're successful because we attract, develop, and retain the best people - and because we care.Plus, you get to join our 1.7+ million members with access to our unique health insurance and healthy living programme. Just to make sure you know our products inside and out. Ready to find out if we're the right fit for you? We can't wait. Diversity & Inclusion We're committed to diversity and inclusion because it's good for our employees, for our business, and for society. To learn more please visit our Careers page. Vitality's approach to sustainability Vitality is a business that drives positive change. We reward people for making and sustaining healthier choices. But healthy people also need a healthy environment. To learn more please visit our Careers page. If we are fortunate in receiving a high volume of quality applications we may need to close this vacancy early. If you are interested, please submit your application as soon as possible.
Data Scientist The role of a data scientist in the pricing science team is a mixture of exploration and support. The Data scientists or Pricing Science are the chief avenue of new techniques, approaches, and ways of doing things into our price modelling process. They are also responsible for the maintenance of the tools that are used by the price modelling teams. As a wider level the pricing science team are expected to contribute, along with other data scientists and engineers, to the development of our tech infrastructure. There will also be occasions where a data scientist collaborates with third party partners to develop new products outside of pricing such as risk or customer behaviour scores. Key Accountabilities & Responsibilities Develop a strong understanding of how we price Motor and Home insurance products Develop an understanding of how and where we can improve current processes & practice Introduce and lead research and development projects to improve the performance and efficiency of the machine learning models ? Collaborate with Technical Pricing Team to identify business problems and recommend solutions? Adapt working with our current tools and developments that are mainly based on R and Python? Collaborate with our data scientists in the maintenance of the existing tools and platforms Work with other data scientists Skills, Experience and Knowledge Programing skills in Python or R (or both) and their relevant data science and statistics libraries? Knowledge on data manipulations, machine learning, advanced analytics, and statistical techniques ? Ability in communicating with the team members and written and verbal presentation skills ? Ability to engage in teamwork and to collaborate with the team to produce the best outputs Degree qualification in relevant discipline e.g., mathematics, computer science, computer engineering, statistics? (advantageous) Experience in insurance or other financial services (advantageous) Why us? Markerstudy Insurance Services Limited (MISL) is one of the largest Managing General Agents in the UK. With a strong presence in the UK motor insurance market, we specialise in niche motor cover, where our solid market knowledge and experience enables us to create highly targeted products. Our success is underpinned by our underwriting strategy to identify and apply special risk factors to the customers' advantage. That, and our skilled underwriting technicians who are friendly, accessible and empowered to make decisions. We only transact business through professional UK insurance intermediaries and we take pride in fostering excellent working relationships. Our products feature prominently on Aggregators' sites, such as Confused, Go Compare and Compare the Market, via our broker partners. What we offer in return? A collaborative environment Hybrid/Flexible working model 25 days annual leave plus of Bank Holidays and the ability to buy an additional three days holiday Health Cash Plan A benefit scheme that offers discounts and cashback on shopping, restaurants, travel and more Life Assurance 4x annual salary
Apr 15, 2024
Full time
Data Scientist The role of a data scientist in the pricing science team is a mixture of exploration and support. The Data scientists or Pricing Science are the chief avenue of new techniques, approaches, and ways of doing things into our price modelling process. They are also responsible for the maintenance of the tools that are used by the price modelling teams. As a wider level the pricing science team are expected to contribute, along with other data scientists and engineers, to the development of our tech infrastructure. There will also be occasions where a data scientist collaborates with third party partners to develop new products outside of pricing such as risk or customer behaviour scores. Key Accountabilities & Responsibilities Develop a strong understanding of how we price Motor and Home insurance products Develop an understanding of how and where we can improve current processes & practice Introduce and lead research and development projects to improve the performance and efficiency of the machine learning models ? Collaborate with Technical Pricing Team to identify business problems and recommend solutions? Adapt working with our current tools and developments that are mainly based on R and Python? Collaborate with our data scientists in the maintenance of the existing tools and platforms Work with other data scientists Skills, Experience and Knowledge Programing skills in Python or R (or both) and their relevant data science and statistics libraries? Knowledge on data manipulations, machine learning, advanced analytics, and statistical techniques ? Ability in communicating with the team members and written and verbal presentation skills ? Ability to engage in teamwork and to collaborate with the team to produce the best outputs Degree qualification in relevant discipline e.g., mathematics, computer science, computer engineering, statistics? (advantageous) Experience in insurance or other financial services (advantageous) Why us? Markerstudy Insurance Services Limited (MISL) is one of the largest Managing General Agents in the UK. With a strong presence in the UK motor insurance market, we specialise in niche motor cover, where our solid market knowledge and experience enables us to create highly targeted products. Our success is underpinned by our underwriting strategy to identify and apply special risk factors to the customers' advantage. That, and our skilled underwriting technicians who are friendly, accessible and empowered to make decisions. We only transact business through professional UK insurance intermediaries and we take pride in fostering excellent working relationships. Our products feature prominently on Aggregators' sites, such as Confused, Go Compare and Compare the Market, via our broker partners. What we offer in return? A collaborative environment Hybrid/Flexible working model 25 days annual leave plus of Bank Holidays and the ability to buy an additional three days holiday Health Cash Plan A benefit scheme that offers discounts and cashback on shopping, restaurants, travel and more Life Assurance 4x annual salary
Cyber Product Owner ideally from a Cyber/Insurance background Permanent London, City-based client £90,000-£100,000 Must have deep Cyber background, ability to work with key stakeholders (c-suite) and architects and data scientists, and finally the ability to manage BAs aligned with Cyber data tech teams. A new role in from one of the TOP 50 companies to work for, award-winning, in the City, for years in a row. My client uses cutting edge technology and data science to deliver smarter, faster solutions to transform cyber insurance they are looking for a Product Owner ideally from a Cyber/Insurance background to help lead their mission. Must have deep Cyber background, ability to work with key stakeholders (c-suite) and architects and data scientists, and finally the ability to manage the BAs aligned with Cyber data tech teams. Key Responsibilities You will have come from a deep cyber background but be also understand the insurance industry. particularly beneficial if from an InsureTech or Cybertechnology organisation. ability to work with key stakeholders across the business (including c-suite) No code writing in this role, BUT you should be able to hold your own when it comes to discussing threats andvulnerabilities with security professionals be able to converse with architects about data caching techniques and keep up with Data Scientists! line managing the Business Analyst(s) aligned to Cyber data technology teams. Knowledge & Experience experienced product manager or product owner with demonstrable experience preferably within insurance Product and Agile enthusiast Ability to articulate complex ideas, presentations and plans simply and with clarity at all levels across the organisation Recognised Business Analysis or Agile Product Management qualifications desirable.
Apr 15, 2024
Full time
Cyber Product Owner ideally from a Cyber/Insurance background Permanent London, City-based client £90,000-£100,000 Must have deep Cyber background, ability to work with key stakeholders (c-suite) and architects and data scientists, and finally the ability to manage BAs aligned with Cyber data tech teams. A new role in from one of the TOP 50 companies to work for, award-winning, in the City, for years in a row. My client uses cutting edge technology and data science to deliver smarter, faster solutions to transform cyber insurance they are looking for a Product Owner ideally from a Cyber/Insurance background to help lead their mission. Must have deep Cyber background, ability to work with key stakeholders (c-suite) and architects and data scientists, and finally the ability to manage the BAs aligned with Cyber data tech teams. Key Responsibilities You will have come from a deep cyber background but be also understand the insurance industry. particularly beneficial if from an InsureTech or Cybertechnology organisation. ability to work with key stakeholders across the business (including c-suite) No code writing in this role, BUT you should be able to hold your own when it comes to discussing threats andvulnerabilities with security professionals be able to converse with architects about data caching techniques and keep up with Data Scientists! line managing the Business Analyst(s) aligned to Cyber data technology teams. Knowledge & Experience experienced product manager or product owner with demonstrable experience preferably within insurance Product and Agile enthusiast Ability to articulate complex ideas, presentations and plans simply and with clarity at all levels across the organisation Recognised Business Analysis or Agile Product Management qualifications desirable.
Park Lane Recruitment Ltd
Ballachulish, Argyllshire
Location: London Hybrid Accountable for recruiting Working and building globally distributed teams Role: Data Engineering Manager Salary: £85k- £95k Location : London Hybrid About the Team: The Global Data and Analytics team provides centralized support for data and business intelligence capabilities throughout the enterprise They industrialize datasets into global data warehouse They enable access to data using scalable business intelligence solutions They standardize and consolidate customer data to support marketing activities and analysis Could you be a new Manager, Data Engineering? Do you? Have extensive experience in the data engineering practice including data warehousing, ETL/ELT, and broad business intelligence concepts Have extensive experience leading multiple data engineering teams Have a data-driven mindset with a passion for building a data first organization Lead a culture of transparency and agile ways of working Have an awareness of advanced analytic approaches to solving business problems Have experience of working and building globally distributed teams. Your new role: Lead multiple teams to build enterprise scale data and analytic solutions. Manage direct reports to ensure that performance and goals are aligned with product and department goals and communicate company and strategic department objectives to the team. Accountable for recruiting and building a high performing team of internal and contract data engineers for approved investment initiatives to help realize the intended business benefits. Lead data engineering strategy on documentation, processes, and governance to better standardize the Data Engineering function within the company to continually improve data delivery. Provide data engineering expertise and direction in partnership with software engineers, product managers, and data scientists to build data architecture that drives insights. Experience delivering cloud-based data services (Azure strongly preferred). Experience using tools such as SSIS, Azure Data Factory, Spark, or comparable data integration tools. Overview of benefits: 25 days holiday excluding bank holidays full-time/pro-rated for part-time roles 2 additional 'floating days' of personal leave, in recognition that each of us has cultural, religious, or family commitments that fall at times when the company is not closed. Life assurance Income protection Access to books and journals Tuition scheme and support for pursuing professional qualifications Hybrid working arrangements - In office 20% of contracted hours. Work flexibly and most staff can choose to work from home for up to 80% of their contracted hours. Other benefits, which may change include: Variety of snacks and beverages available in the office Home working allowance Travel insurance Healthy lifestyle reimbursement Access to the Company doctor Access to Company loans (season ticket loan, rental deposit loan, cycle loan) Anniversary trip If you are interested please upload your cover letter & CV as one document, applications without a cover letter may regrettably not be reviewed.
Apr 15, 2024
Full time
Location: London Hybrid Accountable for recruiting Working and building globally distributed teams Role: Data Engineering Manager Salary: £85k- £95k Location : London Hybrid About the Team: The Global Data and Analytics team provides centralized support for data and business intelligence capabilities throughout the enterprise They industrialize datasets into global data warehouse They enable access to data using scalable business intelligence solutions They standardize and consolidate customer data to support marketing activities and analysis Could you be a new Manager, Data Engineering? Do you? Have extensive experience in the data engineering practice including data warehousing, ETL/ELT, and broad business intelligence concepts Have extensive experience leading multiple data engineering teams Have a data-driven mindset with a passion for building a data first organization Lead a culture of transparency and agile ways of working Have an awareness of advanced analytic approaches to solving business problems Have experience of working and building globally distributed teams. Your new role: Lead multiple teams to build enterprise scale data and analytic solutions. Manage direct reports to ensure that performance and goals are aligned with product and department goals and communicate company and strategic department objectives to the team. Accountable for recruiting and building a high performing team of internal and contract data engineers for approved investment initiatives to help realize the intended business benefits. Lead data engineering strategy on documentation, processes, and governance to better standardize the Data Engineering function within the company to continually improve data delivery. Provide data engineering expertise and direction in partnership with software engineers, product managers, and data scientists to build data architecture that drives insights. Experience delivering cloud-based data services (Azure strongly preferred). Experience using tools such as SSIS, Azure Data Factory, Spark, or comparable data integration tools. Overview of benefits: 25 days holiday excluding bank holidays full-time/pro-rated for part-time roles 2 additional 'floating days' of personal leave, in recognition that each of us has cultural, religious, or family commitments that fall at times when the company is not closed. Life assurance Income protection Access to books and journals Tuition scheme and support for pursuing professional qualifications Hybrid working arrangements - In office 20% of contracted hours. Work flexibly and most staff can choose to work from home for up to 80% of their contracted hours. Other benefits, which may change include: Variety of snacks and beverages available in the office Home working allowance Travel insurance Healthy lifestyle reimbursement Access to the Company doctor Access to Company loans (season ticket loan, rental deposit loan, cycle loan) Anniversary trip If you are interested please upload your cover letter & CV as one document, applications without a cover letter may regrettably not be reviewed.
We're looking for a Senior Data Scientist - Offers Team Someone who loves to code and get their hands dirty with raw data. It doesn't really matter whether people call you an Engineer, Physicist or Mathematician, what matters to us is that you are a curious and continuous learner with a hunger to achieve the very best in what you do. About us Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to over 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science and a 5-star customer service. Our culture We're expanding fast across our offices in London, Leeds and Frankfurt. With all this growth, we're looking for people who want to learn on the job and lead projects, knowing that your ideas will impact thousands of small businesses. Your mission Our Data Scientists develop cutting edge algorithms using statistical modelling and machine learning techniques. Using Python (Pandas, NumPy, and Scikit-learn) they work in a fast-paced, collaborative and dynamic environment to produce data driven solutions, which will have significant business impact. Our Offers team is responsible for optimising the types of loan offers we make to customers, whilst providing a seamless UX for customers to view and accept their offer. As a Senior Data Scientist joining the Offers team, your primary focus is to figure out the offer terms (e.g. pricing, amounts) we should be making to customers, to maximise offer take-up and value to iwoca. You will look at observational data, identify hypotheses for possible unknown relationships, figure out the commercial relevance of these hypotheses, and design and implement tests to test these. Requirements We look for people who are smart, humble, motivated and who are always looking to improve. Ideally you'll have: Strong numerate background, e.g. in Engineering, Mathematics, Physics, or similar. Must have a background in Probability & Statistics. Programming experience: Python, Java, C/C++ or similar. Experience with Pandas, NumPy, SciPy, R, Matlab, and/or SQL Ability to dive deep into the business context and translate data into actionable insights Self-starter with ability to work autonomously in an unstructured environment. Demonstrable experience using machine learning techniques. Experience with Bayesian analysis preferred. Knowledge of computer-science fundamentals. We expect to pay from £70,000 to £100,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and regularly remunerate staff for their increasing value to our business. At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. You'll have access to ample opportunities for skill-building, mentorship, and career progression, and can decide your career path, focusing on frontend, branching into full-stack, or developing your skills in project and people leadership. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. Our friendly and inclusive environment, combined with our flexible work policies, ensures that you'll have the perfect balance between work and life, empowering you to thrive both personally and professionally. Our benefits We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds and Frankfurt. Events and clubs, like bingo, comedy nights, yoga classes, football Two company retreats a year, we've been to France, Italy, Spain and further afield Plenty of drinks and snacks in our offices We offer a wide range of benefits: Medical insurance from Vitality, including discounted gym membership 25 days' holiday, an extra day off for your birthday and the option to buy or sell an additional 5 days of annual leave Instant access to emotional and mental health support with our partner, Spill Share options Generous maternity and paternity leave A nursery tax benefit scheme to help you save money Paid volunteering day to support your chosen charity Extra leave if you want to travel or study One-month fully paid sabbatical after 4 years Cycle-to-work scheme Electric car scheme And to make sure we all keep learning, we offer: An L&D budget for everyone, including a book budget Company-wide talks with internal and external speakers Access to learning platforms like Treehouse if you want to learn to code For more information: iwoca benefits & policies: coda.io/d/iwoca-benefits-policies Interview welcome pack: coda.io/d/iwoca-interview-welcome-pack
Apr 13, 2024
Full time
We're looking for a Senior Data Scientist - Offers Team Someone who loves to code and get their hands dirty with raw data. It doesn't really matter whether people call you an Engineer, Physicist or Mathematician, what matters to us is that you are a curious and continuous learner with a hunger to achieve the very best in what you do. About us Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to over 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science and a 5-star customer service. Our culture We're expanding fast across our offices in London, Leeds and Frankfurt. With all this growth, we're looking for people who want to learn on the job and lead projects, knowing that your ideas will impact thousands of small businesses. Your mission Our Data Scientists develop cutting edge algorithms using statistical modelling and machine learning techniques. Using Python (Pandas, NumPy, and Scikit-learn) they work in a fast-paced, collaborative and dynamic environment to produce data driven solutions, which will have significant business impact. Our Offers team is responsible for optimising the types of loan offers we make to customers, whilst providing a seamless UX for customers to view and accept their offer. As a Senior Data Scientist joining the Offers team, your primary focus is to figure out the offer terms (e.g. pricing, amounts) we should be making to customers, to maximise offer take-up and value to iwoca. You will look at observational data, identify hypotheses for possible unknown relationships, figure out the commercial relevance of these hypotheses, and design and implement tests to test these. Requirements We look for people who are smart, humble, motivated and who are always looking to improve. Ideally you'll have: Strong numerate background, e.g. in Engineering, Mathematics, Physics, or similar. Must have a background in Probability & Statistics. Programming experience: Python, Java, C/C++ or similar. Experience with Pandas, NumPy, SciPy, R, Matlab, and/or SQL Ability to dive deep into the business context and translate data into actionable insights Self-starter with ability to work autonomously in an unstructured environment. Demonstrable experience using machine learning techniques. Experience with Bayesian analysis preferred. Knowledge of computer-science fundamentals. We expect to pay from £70,000 to £100,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and regularly remunerate staff for their increasing value to our business. At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. You'll have access to ample opportunities for skill-building, mentorship, and career progression, and can decide your career path, focusing on frontend, branching into full-stack, or developing your skills in project and people leadership. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. Our friendly and inclusive environment, combined with our flexible work policies, ensures that you'll have the perfect balance between work and life, empowering you to thrive both personally and professionally. Our benefits We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds and Frankfurt. Events and clubs, like bingo, comedy nights, yoga classes, football Two company retreats a year, we've been to France, Italy, Spain and further afield Plenty of drinks and snacks in our offices We offer a wide range of benefits: Medical insurance from Vitality, including discounted gym membership 25 days' holiday, an extra day off for your birthday and the option to buy or sell an additional 5 days of annual leave Instant access to emotional and mental health support with our partner, Spill Share options Generous maternity and paternity leave A nursery tax benefit scheme to help you save money Paid volunteering day to support your chosen charity Extra leave if you want to travel or study One-month fully paid sabbatical after 4 years Cycle-to-work scheme Electric car scheme And to make sure we all keep learning, we offer: An L&D budget for everyone, including a book budget Company-wide talks with internal and external speakers Access to learning platforms like Treehouse if you want to learn to code For more information: iwoca benefits & policies: coda.io/d/iwoca-benefits-policies Interview welcome pack: coda.io/d/iwoca-interview-welcome-pack
Recursion is a clinical biotechnology company building the world's largest proprietary biological and chemical data atlas, industrializing drug discovery and development. Recursion is proudly headquartered in Salt Lake City, Utah with offices in Toronto, Montreal and Milpitas, California. We're working to solve some of the most meaningful problems facing human health today. Come do the most impactful work of your career at a company that prioritizes belonging, collaboration and career development. We offer Participation in equity programs for full-time employees with restricted stock unit (RSUs) and employee stock purchase plan (ESPP) programs Competitive compensation offerings 100% coverage of health, vision, and dental insurance premiums for our employees and their dependents Access to a digital mental wellness platform providing a range of services for all staff and their dependents Available subsidized on-site childcare in Salt Lake City 401K matching program with immediate vesting Lifestyle spending benefit for fitness and wellbeing Generous paid parental leave, including adoptive leave Two company-wide, week-long breaks in July and December to recharge Beautiful, spacious headquarters location in downtown Salt Lake City, Utah that features daily catered lunches and a 70-foot rock climbing wall Our Toronto location is a multidisciplinary office focusing on engineering and machine learning, next door to The Rivoli and just steps from the Horseshoe Tavern The Montreal office is part of the Montreal Institute for Learning Algorithms (MILA) to maximize interaction and collaboration. It is in the Mile End neighborhood, steps away from great restaurants and bars in Little Italy and the Jean Talon Market Milpitas, California is home to our Vivarium lab which offers daily catered lunches and an arcade room Our culture and values We live our values at Recursion. They are the core behaviors that define our culture across every office, team and level. Our values aren't just nice ideas, they are our strategic advantage, the means by which we work well together so we can reinvent the drug discovery industry. Proud founding member of BioHive, the fastest growing life sciences community in the nation Get In Touch
Apr 12, 2024
Full time
Recursion is a clinical biotechnology company building the world's largest proprietary biological and chemical data atlas, industrializing drug discovery and development. Recursion is proudly headquartered in Salt Lake City, Utah with offices in Toronto, Montreal and Milpitas, California. We're working to solve some of the most meaningful problems facing human health today. Come do the most impactful work of your career at a company that prioritizes belonging, collaboration and career development. We offer Participation in equity programs for full-time employees with restricted stock unit (RSUs) and employee stock purchase plan (ESPP) programs Competitive compensation offerings 100% coverage of health, vision, and dental insurance premiums for our employees and their dependents Access to a digital mental wellness platform providing a range of services for all staff and their dependents Available subsidized on-site childcare in Salt Lake City 401K matching program with immediate vesting Lifestyle spending benefit for fitness and wellbeing Generous paid parental leave, including adoptive leave Two company-wide, week-long breaks in July and December to recharge Beautiful, spacious headquarters location in downtown Salt Lake City, Utah that features daily catered lunches and a 70-foot rock climbing wall Our Toronto location is a multidisciplinary office focusing on engineering and machine learning, next door to The Rivoli and just steps from the Horseshoe Tavern The Montreal office is part of the Montreal Institute for Learning Algorithms (MILA) to maximize interaction and collaboration. It is in the Mile End neighborhood, steps away from great restaurants and bars in Little Italy and the Jean Talon Market Milpitas, California is home to our Vivarium lab which offers daily catered lunches and an arcade room Our culture and values We live our values at Recursion. They are the core behaviors that define our culture across every office, team and level. Our values aren't just nice ideas, they are our strategic advantage, the means by which we work well together so we can reinvent the drug discovery industry. Proud founding member of BioHive, the fastest growing life sciences community in the nation Get In Touch
Position: Senior Data Scientist - Cyber Risk Quantitative Risk Modeller Location: Bristol Our client, a pioneering reinsurance agency based in Bristol, UK, is seeking a highly skilled and experienced Senior Data Scientist - Cyber Risk Quantitative Risk Modeller to join their dynamic modelling team. They specialise in the cutting-edge domain of cyber risk and aim to redefine the landscape of cyber risk assessment and management. As a Senior Data Scientist, reporting into the Head of Data Science & Modelling, you will play a pivotal role in the development and operationalization of our client's proprietary stochastic cyber risk model. This position offers an exciting opportunity to contribute significantly to the advancement of analytical capabilities and the broader field of cyber risk modelling. Responsibilities: - Model Development and Operation: Be a key member of the team responsible for designing, developing, refining, and executing the stochastic cyber risk model, ensuring its accuracy, performance, and scalability. - Data Analysis: Perform complex data analysis to extract insights and identify trends in cyber risk using statistical and machine learning techniques. - Operationalization: Translate model insights into actionable strategies and tools for internal and external stakeholders. - Collaboration: Work closely with other team members, including underwriters, engineers, and cyber risk analysts, to integrate the cyber risk model with other systems and processes. - Innovation: Stay updated with the latest developments in data science, cyber security, and risk modelling and incorporate innovative techniques and technologies into our models. Qualifications: - Experience: Minimum of 5 years of experience as a data scientist/quantitative risk modeller, with a proven track record of operationalizing complex models and analytics. - Education: A degree in Computer Science, Engineering, Statistics, Mathematics, or a related field. Advanced degrees (MSc or PhD) are preferred. - Technical Skills: Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. High proficiency in Python and SQL, with experience in big data technologies and tools (Databricks and Pyspark preferred). Familiarity with agile software development processes. - Industry Knowledge: Experience in insurance, cyber risk, or related domains 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. Benefits: - Impact: Make a tangible impact on the future of cyber risk management and reinsurance. - 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. Salary: £70,000 to £80,000 per year Contract Type: Permanent Working Pattern: Full Time Additional Perks: Health insurance, Hybrid working, Life assurance, Private Medical, 5% pension, 28 days annual leave plus bank holidays, Collaborative working If you have the skills, experience, and passion to excel in this role, apply now and be a part of our client's groundbreaking work in the field of cyber risk assessment and management. 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.
Apr 11, 2024
Full time
Position: Senior Data Scientist - Cyber Risk Quantitative Risk Modeller Location: Bristol Our client, a pioneering reinsurance agency based in Bristol, UK, is seeking a highly skilled and experienced Senior Data Scientist - Cyber Risk Quantitative Risk Modeller to join their dynamic modelling team. They specialise in the cutting-edge domain of cyber risk and aim to redefine the landscape of cyber risk assessment and management. As a Senior Data Scientist, reporting into the Head of Data Science & Modelling, you will play a pivotal role in the development and operationalization of our client's proprietary stochastic cyber risk model. This position offers an exciting opportunity to contribute significantly to the advancement of analytical capabilities and the broader field of cyber risk modelling. Responsibilities: - Model Development and Operation: Be a key member of the team responsible for designing, developing, refining, and executing the stochastic cyber risk model, ensuring its accuracy, performance, and scalability. - Data Analysis: Perform complex data analysis to extract insights and identify trends in cyber risk using statistical and machine learning techniques. - Operationalization: Translate model insights into actionable strategies and tools for internal and external stakeholders. - Collaboration: Work closely with other team members, including underwriters, engineers, and cyber risk analysts, to integrate the cyber risk model with other systems and processes. - Innovation: Stay updated with the latest developments in data science, cyber security, and risk modelling and incorporate innovative techniques and technologies into our models. Qualifications: - Experience: Minimum of 5 years of experience as a data scientist/quantitative risk modeller, with a proven track record of operationalizing complex models and analytics. - Education: A degree in Computer Science, Engineering, Statistics, Mathematics, or a related field. Advanced degrees (MSc or PhD) are preferred. - Technical Skills: Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. High proficiency in Python and SQL, with experience in big data technologies and tools (Databricks and Pyspark preferred). Familiarity with agile software development processes. - Industry Knowledge: Experience in insurance, cyber risk, or related domains 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. Benefits: - Impact: Make a tangible impact on the future of cyber risk management and reinsurance. - 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. Salary: £70,000 to £80,000 per year Contract Type: Permanent Working Pattern: Full Time Additional Perks: Health insurance, Hybrid working, Life assurance, Private Medical, 5% pension, 28 days annual leave plus bank holidays, Collaborative working If you have the skills, experience, and passion to excel in this role, apply now and be a part of our client's groundbreaking work in the field of cyber risk assessment and management. 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.
Title: Senior / Mid Level Data Scientists /Data Engineer Location: Bristol Contract Type: Permanent Salary Range: £50,000 - £80,000 per year Our client, a leading organisation in the reinsurance industry, is seeking talented and experienced Mid-Level Data Scientists /Data Engineers to join their team in Bristol. As a key player in the development and operations of their automated ingestion system, you will contribute to the enhancement of their data processing and analysis capabilities. Responsibilities: - Automated Ingestion System Development: Design, develop, and maintain efficient, scalable, and reliable data ingestion pipelines. - ML Component Integration: Integrate advanced machine learning components into data pipelines to optimise data processing and analysis. - Data Quality and Metrics: Implement data quality metrics and dashboards to ensure the integrity and accuracy of ingested data. - Collaboration: Work closely with data scientists, engineers, and other team members in a multifunctional agile development team to meet project goals. - Innovation: Utilise modern NLP techniques to improve data understanding and processing, staying updated with the latest developments in data science and engineering. Qualifications: - Experience: Minimum of 3 years of experience developing complex data ingestion pipelines with sophisticated ML components. Prior experience in the insurance sector is advantageous. - Education: Degree in Computer Science, Data Science, Engineering, or a related field. - Technical Skills: Strong proficiency in Python, SQL, PySpark, and Databricks. Demonstrated experience with modern NLP techniques and tools. Proven ability to create and manage data quality metrics and dashboards. Experience working in a multifunctional agile development team. Proficiency in using Git for version control. - Industry Knowledge: Familiarity with the insurance sector and its data challenges is highly desirable. - Soft Skills: Excellent problem-solving skills, strong communication abilities, and a collaborative spirit. Perks: Health insurance Hybrid working Life assurance Private Medical 5% pension 28 days annual leave plus bank holidays Why join our client? - Impact: Make a significant contribution to enhancing their data ingestion capabilities and improving their ability to manage cyber risk more effectively. - Innovation: Work with cutting-edge technologies and methodologies in the field of data science and engineering. - Growth: Enjoy opportunities for professional development in a supportive and forward-thinking environment. - Culture: Be part of a collaborative, innovative team that values each member's contribution towards collective goals. If you are passionate about crafting sophisticated data ingestion pipelines and thrive in a dynamic, agile environment, our client welcomes your application. Don't miss this exciting opportunity to join their team in revolutionising the way cyber risk is understood and mitigated in the reinsurance domain. 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.
Apr 11, 2024
Full time
Title: Senior / Mid Level Data Scientists /Data Engineer Location: Bristol Contract Type: Permanent Salary Range: £50,000 - £80,000 per year Our client, a leading organisation in the reinsurance industry, is seeking talented and experienced Mid-Level Data Scientists /Data Engineers to join their team in Bristol. As a key player in the development and operations of their automated ingestion system, you will contribute to the enhancement of their data processing and analysis capabilities. Responsibilities: - Automated Ingestion System Development: Design, develop, and maintain efficient, scalable, and reliable data ingestion pipelines. - ML Component Integration: Integrate advanced machine learning components into data pipelines to optimise data processing and analysis. - Data Quality and Metrics: Implement data quality metrics and dashboards to ensure the integrity and accuracy of ingested data. - Collaboration: Work closely with data scientists, engineers, and other team members in a multifunctional agile development team to meet project goals. - Innovation: Utilise modern NLP techniques to improve data understanding and processing, staying updated with the latest developments in data science and engineering. Qualifications: - Experience: Minimum of 3 years of experience developing complex data ingestion pipelines with sophisticated ML components. Prior experience in the insurance sector is advantageous. - Education: Degree in Computer Science, Data Science, Engineering, or a related field. - Technical Skills: Strong proficiency in Python, SQL, PySpark, and Databricks. Demonstrated experience with modern NLP techniques and tools. Proven ability to create and manage data quality metrics and dashboards. Experience working in a multifunctional agile development team. Proficiency in using Git for version control. - Industry Knowledge: Familiarity with the insurance sector and its data challenges is highly desirable. - Soft Skills: Excellent problem-solving skills, strong communication abilities, and a collaborative spirit. Perks: Health insurance Hybrid working Life assurance Private Medical 5% pension 28 days annual leave plus bank holidays Why join our client? - Impact: Make a significant contribution to enhancing their data ingestion capabilities and improving their ability to manage cyber risk more effectively. - Innovation: Work with cutting-edge technologies and methodologies in the field of data science and engineering. - Growth: Enjoy opportunities for professional development in a supportive and forward-thinking environment. - Culture: Be part of a collaborative, innovative team that values each member's contribution towards collective goals. If you are passionate about crafting sophisticated data ingestion pipelines and thrive in a dynamic, agile environment, our client welcomes your application. Don't miss this exciting opportunity to join their team in revolutionising the way cyber risk is understood and mitigated in the reinsurance domain. 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.
Senior Data Scientist - Cyber Risk Modelling (Python/SQL/Databricks/ PySpark/ DBRX - Bristol based office A pioneering reinsurance agency based in Bristol, UK, specializing in the cutting-edge domain of cyber risk. Leveraging advanced analytics and proprietary models, my client aims to redefine the landscape of cyber risk assessment and management. Our commitment to innovation and excellence has positioned us as a leader in the cyber reinsurance market.Position Overview for Senior Data Scientist - Cyber Risk Modelling (Python/SQL/Databricks/ PySpark/ DBRX - Bristol based office A highly technical and experienced Data Scientist to join their dynamic modelling team. Reporting into our Head of Data Science & Modelling, the successful candidate will play a pivotal role in the development and operationalization of 's proprietary stochastic cyber risk model. This position offers the opportunity to contribute significantly to the advancement of our analytical capabilities and to the broader field of cyber risk modelling.Key Responsibilities Senior Data Scientist - Cyber Risk Modelling (Python/SQL/Databricks/ PySpark/ DBRX - Bristol based office Model Development and Operation: Be a key member of the team responsible for the design, development, refinement, and execution of 's stochastic cyber risk model, ensuring its accuracy, performance, and scalability.Data Analysis: Perform complex data analysis to extract insights and identify trends in cyber risk, utilizing a variety of statistical and machine learning techniques.Operationalization: Translate model insights into actionable strategies and tools for internal and external stakeholders.Collaboration: Work closely with other team members, including underwriters, engineers, and cyber risk analysts, to integrate the cyber risk model with other systems and processes.Innovation: Stay abreast of the latest developments in data science, cyber security, and risk modelling, and incorporate innovative techniques and technologies into our models.Qualifications for Senior Data Scientist - Cyber Risk Modelling (Python/SQL/Databricks/ PySpark/ DBRX - Bristol based office Senior Data Scientist Experience: At least 5 years of experience working as a data scientist/quantitative risk modeller, with a proven track record of operationalizing complex models and analytics.Education: A degree in Computer Science, Engineering, Statistics, Mathematics, or a related field. Advanced degrees (MSc or PhD) are preferred.Technical Skills: Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. High level of proficiency in Python & SQL. Experience with big data technologies and tools. Databricks and Pyspark are highly desirable. Experience of working in agile software development processes.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.How to apply for Senior Data Scientist - Cyber Risk Modelling (Python/SQL/Databricks/ PySpark/ DBRX - Bristol based office Please apply by sending your CV to the following links below. Mid level Data Scientist and Data Engineer roles also available
Apr 11, 2024
Full time
Senior Data Scientist - Cyber Risk Modelling (Python/SQL/Databricks/ PySpark/ DBRX - Bristol based office A pioneering reinsurance agency based in Bristol, UK, specializing in the cutting-edge domain of cyber risk. Leveraging advanced analytics and proprietary models, my client aims to redefine the landscape of cyber risk assessment and management. Our commitment to innovation and excellence has positioned us as a leader in the cyber reinsurance market.Position Overview for Senior Data Scientist - Cyber Risk Modelling (Python/SQL/Databricks/ PySpark/ DBRX - Bristol based office A highly technical and experienced Data Scientist to join their dynamic modelling team. Reporting into our Head of Data Science & Modelling, the successful candidate will play a pivotal role in the development and operationalization of 's proprietary stochastic cyber risk model. This position offers the opportunity to contribute significantly to the advancement of our analytical capabilities and to the broader field of cyber risk modelling.Key Responsibilities Senior Data Scientist - Cyber Risk Modelling (Python/SQL/Databricks/ PySpark/ DBRX - Bristol based office Model Development and Operation: Be a key member of the team responsible for the design, development, refinement, and execution of 's stochastic cyber risk model, ensuring its accuracy, performance, and scalability.Data Analysis: Perform complex data analysis to extract insights and identify trends in cyber risk, utilizing a variety of statistical and machine learning techniques.Operationalization: Translate model insights into actionable strategies and tools for internal and external stakeholders.Collaboration: Work closely with other team members, including underwriters, engineers, and cyber risk analysts, to integrate the cyber risk model with other systems and processes.Innovation: Stay abreast of the latest developments in data science, cyber security, and risk modelling, and incorporate innovative techniques and technologies into our models.Qualifications for Senior Data Scientist - Cyber Risk Modelling (Python/SQL/Databricks/ PySpark/ DBRX - Bristol based office Senior Data Scientist Experience: At least 5 years of experience working as a data scientist/quantitative risk modeller, with a proven track record of operationalizing complex models and analytics.Education: A degree in Computer Science, Engineering, Statistics, Mathematics, or a related field. Advanced degrees (MSc or PhD) are preferred.Technical Skills: Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. High level of proficiency in Python & SQL. Experience with big data technologies and tools. Databricks and Pyspark are highly desirable. Experience of working in agile software development processes.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.How to apply for Senior Data Scientist - Cyber Risk Modelling (Python/SQL/Databricks/ PySpark/ DBRX - Bristol based office Please apply by sending your CV to the following links below. Mid level Data Scientist and Data Engineer roles also available
Senior Data Architect Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to Be Yourself At Work. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It's important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table - so we'd love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help. ABOUT US Capco is global technology and business consultancy with a focus on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry, combining innovative thinking with unique expert know-how. The solutions we offer our customers every day are as diverse as our employees. We are/have: Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains. Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to help us get there Focused on maintaining our nimble, agile and entrepreneurial culture. Your Capco Day/Key Responsibilities You will accompany and lead complex agile consulting projects supporting our clients with data architecture design and delivery. You will work with technology leaders across Financial Services to provide best practice guidance for data management and data architecture development and optimization. You will build a set of services and capabilities that support Capco's vision of Modern Data Architecture and our clients' data journeys to Cloud to enable efficient, transparent and high-quality data management. You will have opportunities to assume greater responsibility for your topics, as well as managing small project teams and supporting Capco Data Architecture business development. Preferred Experience Experience architecting & implementing data strategy, solutions & governance models. Experience of aligning data architecture & strategy across multiple programmes, work streams and business units. Demonstrable experience using Cloud data technologies to develop enterprise Data platforms. Cloud architect/data architect certifications (AWS, GPC, Azure). Knowledge of the relevant procedures, architectures and technologies in one or more of the following topics: Contextual Datamodelling, Entity Relationship Modelling, Logical & Physical Datamodelling and Data Lake design. Experience designing and implementing cloud data migration and storage patterns on one or more of AWS, GCP and Microsoft Azure Experience implementing and integrating data management platforms for data cataloguing, classification and metadata management. Experience designing and developing data privacy, security and entitlements frameworks for cloud provider ecosystems (AWS, Azure, GCP). Good understanding of cloud networking architecture, operations, automation and cost management. Ideally, relevant practical project experience in Financial Services with proven leadership skills and ability to operate in complex environments/projects, managing multiple stakeholders at all levels of the organisation. An understanding or interest in Graph computing and semantic Datamodelling. A credible individual who can communicate effectively to both technical and non-technical audiences. Effective teamworking with very good analytical and conceptual skills and assertiveness. Data at Capco Capco's global Data Practice of 800+ practitioners are an established team of data strategists, analysts, scientists, architects, and engineers who help client teams harness the power of data to drive insight, optimise performance, and commercialise data opportunities. ?We enable financial institutions to become data-driven by helping transform their understanding, and use of data to derive value. We translate strategy into action - designing, implementing, and mobilising innovative data capabilities with a focus on efficiency and scalability, and partnering with leading vendors and industry bodies. Collaboration, enthusiasm, and encouragement are key in ensuring we maintain our culture through working in an environment where clients become colleagues. We are looking for a candidate who will empower the team, drive high standards, grow the capability, and deliver customer focused outcomes. Our clients and peers have voted us as the A-Team Best Consultancy in Data Management in consecutive years, valuing our ability to identify and develop top data talent. In addition to this, we have proudly won both the Best Consultancy (2022) in the British Banking Awards and the Best ESG Data & Technology Consultancy as part of the annual ESG Insight Awards. WHY JOIN CAPCO? You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer: A work culture focused on innovation and creating lasting value for our clients and employees Ongoing learning opportunities to help you acquire new skills or deepen existing expertise A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients A diverse, inclusive, meritocratic culture Enhanced and competitive family friendly benefits, including maternity/adoption/shared parental leave and paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement.
Apr 11, 2024
Full time
Senior Data Architect Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to Be Yourself At Work. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It's important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table - so we'd love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help. ABOUT US Capco is global technology and business consultancy with a focus on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry, combining innovative thinking with unique expert know-how. The solutions we offer our customers every day are as diverse as our employees. We are/have: Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains. Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to help us get there Focused on maintaining our nimble, agile and entrepreneurial culture. Your Capco Day/Key Responsibilities You will accompany and lead complex agile consulting projects supporting our clients with data architecture design and delivery. You will work with technology leaders across Financial Services to provide best practice guidance for data management and data architecture development and optimization. You will build a set of services and capabilities that support Capco's vision of Modern Data Architecture and our clients' data journeys to Cloud to enable efficient, transparent and high-quality data management. You will have opportunities to assume greater responsibility for your topics, as well as managing small project teams and supporting Capco Data Architecture business development. Preferred Experience Experience architecting & implementing data strategy, solutions & governance models. Experience of aligning data architecture & strategy across multiple programmes, work streams and business units. Demonstrable experience using Cloud data technologies to develop enterprise Data platforms. Cloud architect/data architect certifications (AWS, GPC, Azure). Knowledge of the relevant procedures, architectures and technologies in one or more of the following topics: Contextual Datamodelling, Entity Relationship Modelling, Logical & Physical Datamodelling and Data Lake design. Experience designing and implementing cloud data migration and storage patterns on one or more of AWS, GCP and Microsoft Azure Experience implementing and integrating data management platforms for data cataloguing, classification and metadata management. Experience designing and developing data privacy, security and entitlements frameworks for cloud provider ecosystems (AWS, Azure, GCP). Good understanding of cloud networking architecture, operations, automation and cost management. Ideally, relevant practical project experience in Financial Services with proven leadership skills and ability to operate in complex environments/projects, managing multiple stakeholders at all levels of the organisation. An understanding or interest in Graph computing and semantic Datamodelling. A credible individual who can communicate effectively to both technical and non-technical audiences. Effective teamworking with very good analytical and conceptual skills and assertiveness. Data at Capco Capco's global Data Practice of 800+ practitioners are an established team of data strategists, analysts, scientists, architects, and engineers who help client teams harness the power of data to drive insight, optimise performance, and commercialise data opportunities. ?We enable financial institutions to become data-driven by helping transform their understanding, and use of data to derive value. We translate strategy into action - designing, implementing, and mobilising innovative data capabilities with a focus on efficiency and scalability, and partnering with leading vendors and industry bodies. Collaboration, enthusiasm, and encouragement are key in ensuring we maintain our culture through working in an environment where clients become colleagues. We are looking for a candidate who will empower the team, drive high standards, grow the capability, and deliver customer focused outcomes. Our clients and peers have voted us as the A-Team Best Consultancy in Data Management in consecutive years, valuing our ability to identify and develop top data talent. In addition to this, we have proudly won both the Best Consultancy (2022) in the British Banking Awards and the Best ESG Data & Technology Consultancy as part of the annual ESG Insight Awards. WHY JOIN CAPCO? You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer: A work culture focused on innovation and creating lasting value for our clients and employees Ongoing learning opportunities to help you acquire new skills or deepen existing expertise A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients A diverse, inclusive, meritocratic culture Enhanced and competitive family friendly benefits, including maternity/adoption/shared parental leave and paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement.
Please note that this role is open to applicants in both our London and Glasgow Offices SThree are delighted to announce that we're looking for a talented Power BI Developer to join our team! The chosen candidate will support SThree's overall purpose to 'bring skilled people together to build the future'. Reporting to the Head of Data Governance & Technology, the Power BI Developer is responsible for developing Power BI reports based on the azure data platform. The role is accountable for accurate and consumable production of reports into the business including design look and feel. The purpose is to ensure that the reports for the business are impactful and easily consumed. Data is at the heart of our business and ability to effectively access and use it is essential for fulfilling our strategic ambition. About us SThree is the global STEM-specialist talent partner that connects sought-after specialists in life sciences, technology, engineering and mathematics with innovative organisations across the world. We are the number one destination for talent in the best STEM markets: Recruiting highly skilled professionals and discovering life-changing jobs for the unsung heroes who will positively shape our future. Elevating expertise and energising progress for everyone. Operating through a global house of specialist recruitment brands we know how to achieve the goals of STEM professionals seeking both permanent and contract work and understand the organisations who need them. The world is changing. And the people who change the world work with us. What are the day-to-day tasks? Designing and developing BI reports and dashboards: This involves understanding the business requirements, designing the data model, and developing visualizations that provide actionable insights. Data management: Power BI developers are responsible for managing data sets, ensuring they are clean, accurate, and ready for analysis. This often involves data extraction, transformation, and loading (ETL) processes. Collaborating with stakeholders: Power BI developers work closely with various stakeholders, including business analysts, project managers, and data scientists, to understand their data needs and deliver solutions that meet them. Ensuring data accuracy: Power BI developers must ensure the accuracy and reliability of the data presented in the dashboards and reports. This involves validating the data and implementing quality checks. Training end-users: Power BI developers often train end-users on how to use the dashboards and reports effectively. This includes explaining how to interpret the data and make data-driven decisions. Troubleshooting and maintenance: Power BI developers troubleshoot data-related issues and maintain the Power BI infrastructure to ensure it's up-to-date and running smoothly. Staying updated: The data analysis and visualisation field is constantly evolving. Power BI developers need to stay updated with the latest features, updates, and best practices to leverage them effectively. Data security: Ensuring data security is another important responsibility. This involves implementing appropriate access controls and data protection measures. What skills are we looking for? Knowledge & Experience: Excellent analytical skills and a proven ability to think creatively to solve problems. Significant experience in the development of Reports within Azure, utilising functionality such as Azure Data Factory / Lake, Power BI, Logic and Function Apps and Azure SQL Knowledge of data transformations, pipelines, structured / unstructured data and data ingestion ETL processes. Strong experience of working in an Agile delivery team and producing and deploying applications in a production environment. Qualifications: Associated Microsoft (or other) certificates and qualifications Data Analytics using AI/ML MSSQL and MYSql stored procedures and data scripting Visual analytics tools, e.g. Power BI / Tableau / etc. Benefits for our U.K. teams include: The choice to work flexibly from home and the office, in line with our hybrid working principles - one anchor day a week in office, with additional days depending on activity Bonus linked to company and personal performance Generous 28 days holiday allowance, plus public holidays Annual leave purchase scheme Five days paid Caregiver/Dependant leave per annum Five paid days off per year for volunteering Private health care, discounted dental insurance and health care cash back scheme Opportunity to participate in the company share scheme Access to a range of retail discounts and saving What we stand for We're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable, and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help. What we stand for We create community and deliver change that transforms the future for everyone. With this in mind, we're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help.
Apr 10, 2024
Full time
Please note that this role is open to applicants in both our London and Glasgow Offices SThree are delighted to announce that we're looking for a talented Power BI Developer to join our team! The chosen candidate will support SThree's overall purpose to 'bring skilled people together to build the future'. Reporting to the Head of Data Governance & Technology, the Power BI Developer is responsible for developing Power BI reports based on the azure data platform. The role is accountable for accurate and consumable production of reports into the business including design look and feel. The purpose is to ensure that the reports for the business are impactful and easily consumed. Data is at the heart of our business and ability to effectively access and use it is essential for fulfilling our strategic ambition. About us SThree is the global STEM-specialist talent partner that connects sought-after specialists in life sciences, technology, engineering and mathematics with innovative organisations across the world. We are the number one destination for talent in the best STEM markets: Recruiting highly skilled professionals and discovering life-changing jobs for the unsung heroes who will positively shape our future. Elevating expertise and energising progress for everyone. Operating through a global house of specialist recruitment brands we know how to achieve the goals of STEM professionals seeking both permanent and contract work and understand the organisations who need them. The world is changing. And the people who change the world work with us. What are the day-to-day tasks? Designing and developing BI reports and dashboards: This involves understanding the business requirements, designing the data model, and developing visualizations that provide actionable insights. Data management: Power BI developers are responsible for managing data sets, ensuring they are clean, accurate, and ready for analysis. This often involves data extraction, transformation, and loading (ETL) processes. Collaborating with stakeholders: Power BI developers work closely with various stakeholders, including business analysts, project managers, and data scientists, to understand their data needs and deliver solutions that meet them. Ensuring data accuracy: Power BI developers must ensure the accuracy and reliability of the data presented in the dashboards and reports. This involves validating the data and implementing quality checks. Training end-users: Power BI developers often train end-users on how to use the dashboards and reports effectively. This includes explaining how to interpret the data and make data-driven decisions. Troubleshooting and maintenance: Power BI developers troubleshoot data-related issues and maintain the Power BI infrastructure to ensure it's up-to-date and running smoothly. Staying updated: The data analysis and visualisation field is constantly evolving. Power BI developers need to stay updated with the latest features, updates, and best practices to leverage them effectively. Data security: Ensuring data security is another important responsibility. This involves implementing appropriate access controls and data protection measures. What skills are we looking for? Knowledge & Experience: Excellent analytical skills and a proven ability to think creatively to solve problems. Significant experience in the development of Reports within Azure, utilising functionality such as Azure Data Factory / Lake, Power BI, Logic and Function Apps and Azure SQL Knowledge of data transformations, pipelines, structured / unstructured data and data ingestion ETL processes. Strong experience of working in an Agile delivery team and producing and deploying applications in a production environment. Qualifications: Associated Microsoft (or other) certificates and qualifications Data Analytics using AI/ML MSSQL and MYSql stored procedures and data scripting Visual analytics tools, e.g. Power BI / Tableau / etc. Benefits for our U.K. teams include: The choice to work flexibly from home and the office, in line with our hybrid working principles - one anchor day a week in office, with additional days depending on activity Bonus linked to company and personal performance Generous 28 days holiday allowance, plus public holidays Annual leave purchase scheme Five days paid Caregiver/Dependant leave per annum Five paid days off per year for volunteering Private health care, discounted dental insurance and health care cash back scheme Opportunity to participate in the company share scheme Access to a range of retail discounts and saving What we stand for We're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable, and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help. What we stand for We create community and deliver change that transforms the future for everyone. With this in mind, we're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help.