Senior Data Scientist St Neots (PE19) Salary £45,000 - £65,000 DOE 25 days annual leave inclusive of up to 3 days Christmas shut-down Buy or sell up to 5 days annual leave Two pension schemes to choose from Private Medical Insurance + discounts for additional family members Life Assurance scheme up to 4 x salary Share Save scheme Electric/Hybrid Car leasing scheme Cycle to work scheme Retail discounts Continuous Professional development support As our Data Intelligence capability continues to grow, we're looking for a Senior Data Scientist to join the team and support the delivery of innovative data solutions across a range of exciting customer projects. This is a newly created position, driven by increased project demand and continued growth within our Digital Services Group. You'll play a key role in delivering advanced data science capabilities, helping customers unlock value from complex datasets through analysis, visualisation, modelling, prediction and AI-driven solutions. Combining hands-on technical delivery with leadership responsibilities, you'll help shape innovative solutions, mentor colleagues and influence the future direction of our data science capability. Based at our head office in Little Paxton, St Neots, you'll work alongside a highly skilled team of Data Scientists, Software Engineers and Technical Specialists, delivering innovative solutions for highly secure customers. This is a full-time on-site role, giving you the opportunity to collaborate closely with colleagues, share knowledge and contribute directly to project delivery within a highly skilled team environment. How you'll support us As a Senior Data Scientist, you'll provide technical leadership across a variety of projects, taking ownership of delivery while helping to guide and develop less experienced team members. You'll work closely with project leads and customers to understand complex challenges, develop innovative solutions and ensure high-quality outcomes. You'll also play an important role in shaping the future of our Data Science capability, identifying opportunities to apply emerging technologies and supporting business growth through technical input into bids and proposals. Core Responsibilities Lead the delivery of data science activities in support of a dedicated Test & Evaluation programme. Define, scope and review tasking for Data Science team members. Develop analytical, predictive and visualisation solutions using modern data science techniques. Prototype and evaluate emerging AI and machine learning technologies. Develop robust, high-quality software applications and tools. Provide technical guidance and mentoring to colleagues. Report progress and technical outputs to project stakeholders. Support business development activities and technical bid responses. Ensure data science processes and best practices are followed. The invaluable experience you'll bring, to help us achieve more We're expecting that you've done this role before, so you'll know how to balance technical delivery with leadership responsibilities whilst managing multiple priorities. You'll bring strong analytical thinking, a passion for solving complex problems and the ability to communicate technical concepts to a variety of audiences. Core skills and experience we're looking for: Writing scripts to provide insights into complex system performance within high-volume synthetic environments (Python or MATLAB). Experience with data transformation and visualisation frameworks. Generating GUIs to display key data insights. Development of product quality software applications. BSc or Masters degree in a data related subject. It would be great if you also have: A strong background in statistics and data assimilation techniques. Prototyping AI/ML techniques (e.g. LLMs and neuromorphic systems). Knowledge of Electromagnetic Spectrum systems such as Radar, Electronic Warfare or Jamming technologies. An interest in GPU-accelerated architectures and high-performance computing. Experience using DevOps and software development tools such as Jira and BitBucket. Our non-negotiables: Due to the highly secure nature of the projects you will be involved with, you must be: A UK National and eligible to work in the UK Eligible to obtain and maintain a UK Government SC level security clearance Who is MASS? MASS is an independent, global technology company, trusted by highly secure organisations to provide advanced, digital services that manage data and keep information safe. With our heritage in defence, we offer robust solutions to sectors where security expertise is essential. We work in partnership with customers, using skilled, technical experts. We think innovatively to provide tailored, agile and resilient solutions that secure advantage, so you're ready for digital transformation. Wellbeing is at the core to our culture, allowing employees to flourish and to achieve their full potential. Our people are important to us, and we take pride in our wellbeing programmes and policies that support individuals including, mental health first aiders and readily available support through our extensive employee assistance programme. MASS is an equal opportunities employer; we know that our people are smart, skilled and motivated and in return we provide a friendly workplace where everyone is valued and has the chance to make an impact. Apply today to see how working for MASS could work for you! JBRP1_UKTJ
12/06/2026
Full time
Senior Data Scientist St Neots (PE19) Salary £45,000 - £65,000 DOE 25 days annual leave inclusive of up to 3 days Christmas shut-down Buy or sell up to 5 days annual leave Two pension schemes to choose from Private Medical Insurance + discounts for additional family members Life Assurance scheme up to 4 x salary Share Save scheme Electric/Hybrid Car leasing scheme Cycle to work scheme Retail discounts Continuous Professional development support As our Data Intelligence capability continues to grow, we're looking for a Senior Data Scientist to join the team and support the delivery of innovative data solutions across a range of exciting customer projects. This is a newly created position, driven by increased project demand and continued growth within our Digital Services Group. You'll play a key role in delivering advanced data science capabilities, helping customers unlock value from complex datasets through analysis, visualisation, modelling, prediction and AI-driven solutions. Combining hands-on technical delivery with leadership responsibilities, you'll help shape innovative solutions, mentor colleagues and influence the future direction of our data science capability. Based at our head office in Little Paxton, St Neots, you'll work alongside a highly skilled team of Data Scientists, Software Engineers and Technical Specialists, delivering innovative solutions for highly secure customers. This is a full-time on-site role, giving you the opportunity to collaborate closely with colleagues, share knowledge and contribute directly to project delivery within a highly skilled team environment. How you'll support us As a Senior Data Scientist, you'll provide technical leadership across a variety of projects, taking ownership of delivery while helping to guide and develop less experienced team members. You'll work closely with project leads and customers to understand complex challenges, develop innovative solutions and ensure high-quality outcomes. You'll also play an important role in shaping the future of our Data Science capability, identifying opportunities to apply emerging technologies and supporting business growth through technical input into bids and proposals. Core Responsibilities Lead the delivery of data science activities in support of a dedicated Test & Evaluation programme. Define, scope and review tasking for Data Science team members. Develop analytical, predictive and visualisation solutions using modern data science techniques. Prototype and evaluate emerging AI and machine learning technologies. Develop robust, high-quality software applications and tools. Provide technical guidance and mentoring to colleagues. Report progress and technical outputs to project stakeholders. Support business development activities and technical bid responses. Ensure data science processes and best practices are followed. The invaluable experience you'll bring, to help us achieve more We're expecting that you've done this role before, so you'll know how to balance technical delivery with leadership responsibilities whilst managing multiple priorities. You'll bring strong analytical thinking, a passion for solving complex problems and the ability to communicate technical concepts to a variety of audiences. Core skills and experience we're looking for: Writing scripts to provide insights into complex system performance within high-volume synthetic environments (Python or MATLAB). Experience with data transformation and visualisation frameworks. Generating GUIs to display key data insights. Development of product quality software applications. BSc or Masters degree in a data related subject. It would be great if you also have: A strong background in statistics and data assimilation techniques. Prototyping AI/ML techniques (e.g. LLMs and neuromorphic systems). Knowledge of Electromagnetic Spectrum systems such as Radar, Electronic Warfare or Jamming technologies. An interest in GPU-accelerated architectures and high-performance computing. Experience using DevOps and software development tools such as Jira and BitBucket. Our non-negotiables: Due to the highly secure nature of the projects you will be involved with, you must be: A UK National and eligible to work in the UK Eligible to obtain and maintain a UK Government SC level security clearance Who is MASS? MASS is an independent, global technology company, trusted by highly secure organisations to provide advanced, digital services that manage data and keep information safe. With our heritage in defence, we offer robust solutions to sectors where security expertise is essential. We work in partnership with customers, using skilled, technical experts. We think innovatively to provide tailored, agile and resilient solutions that secure advantage, so you're ready for digital transformation. Wellbeing is at the core to our culture, allowing employees to flourish and to achieve their full potential. Our people are important to us, and we take pride in our wellbeing programmes and policies that support individuals including, mental health first aiders and readily available support through our extensive employee assistance programme. MASS is an equal opportunities employer; we know that our people are smart, skilled and motivated and in return we provide a friendly workplace where everyone is valued and has the chance to make an impact. Apply today to see how working for MASS could work for you! JBRP1_UKTJ
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is free commerce from friction. Today, high delivery costs act as a hidden tax on e commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation OVERVIEW Relay's Pitstop network is the convenience store backbone of the operation. Customers drop off and collect parcels at these locations, Middle Mile drivers hand off and pick up, and the whole network depends on independent retailers behaving in ways that make Relay work. They aren't Relay staff. We don't control their attention, their turnover, or what else is happening behind their counter. Every behaviour we need has to be produced through systems, incentives, and the app. The Pitstop squad's job is to build those systems. Today the network runs at around 170k parcels a day, propped up by a small operations team and twelve LiveOps FTE absorbing the day to day breakage. The squad's mission is to take the network from 170k to 2M parcels a day without LiveOps scaling linearly with it. That means systematising launch readiness, pitstop performance, pricing structure, and retention so the same number of operators can support a network twelve times the size. As a Data Analyst in the Pitstop squad, you will own the analytics that make all of this measurable. Are launches hitting day 1 quality? Is handover speed improving where new in app behaviour nudges have rolled out? Which pitstops are heading for churn and why? What's actually driving LiveOps ticket load, and which interventions are removing it? You'll build the monitoring layer the squad relies on, run the cost and performance investigations that shape what gets built next, and become the squad's source of truth on what's working. Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists, with analysts embedded into squads across the business. You will sit in the Pitstop squad, working day to day with operations, sales, engineering, design, and research. You will report into the centralised data team and be line managed by the Lead Data Analyst for Middle Mile, Pitstops & Sortation. WHAT YOU'LL DO Own the Pitstop squad's five outcome metrics: Launch Velocity, Handover Speed, Handover Accuracy, Pitstop Retention, and Indirect Cost per Parcel. Build the monitoring around them, investigate movement, and translate the numbers into next actions for the squad. Run the analytics behind pitstop performance and pricing: which behaviours move handover speed, how commercial tiers and clawbacks are landing, which pitstops are systematically under or over performing, and what the in app nudges are actually changing on the counter. Quantify the impact of squad initiatives in cost terms: how much LiveOps load did this self serve flow remove, how much Middle Mile driver time did this handover prompt unlock, and what is the CPP impact of retention work on mature pitstops. Build launch readiness analytics: cohort ramp curves, time to maturity, where new pitstops break in week one, and how the launch playbook should evolve as volume grows. Build the retention layer: a health score for pitstops, at risk alerting, churn diagnosis triaged by cause, and the feedback loop back into acquisition and onboarding. Investigate LiveOps ticket load by category and reason. Quantify what each ticket type costs, where the volume is concentrated, and which pillars should systematise it next. Define KPIs and build dashboards that make Pitstop performance transparent to the squad, to operations, and to leadership. Maintain and extend the squad's dbt models and data pipelines that underpin the monitoring layer. WHO WILL THRIVE IN THIS ROLE? You want to understand how an operation actually works, not analyse it from a distance. Pitstops are messy, varied, and behaviour driven. The best work comes from people who can sit with operators, watch handovers happen, and translate what they see into measurable signals. You're excited by cost and behaviour problems. Where is LiveOps spending time, what's driving handover friction, and where are systems failing in ways the data can show but the squad cannot yet feel. You can navigate messy operational data and turn it into metrics people trust. You're comfortable working alongside operations, design, engineering, and commercial stakeholders, and you can embed your analysis into their workflows. You're fluent in SQL and experienced with BI tools, with strong problem solving instincts. You have at least 3 years experience, ideally with exposure to logistics, parcels, retail operations, or another network scale operational business. You care about impact, not just insight. Success in this role is measured by whether the Pitstop network can scale without LiveOps scaling with it. You communicate clearly with non technical stakeholders and can explain what the data shows, where the limits are, and what to do next. WHO THRIVES AT RELAY? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
12/06/2026
Full time
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is free commerce from friction. Today, high delivery costs act as a hidden tax on e commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation OVERVIEW Relay's Pitstop network is the convenience store backbone of the operation. Customers drop off and collect parcels at these locations, Middle Mile drivers hand off and pick up, and the whole network depends on independent retailers behaving in ways that make Relay work. They aren't Relay staff. We don't control their attention, their turnover, or what else is happening behind their counter. Every behaviour we need has to be produced through systems, incentives, and the app. The Pitstop squad's job is to build those systems. Today the network runs at around 170k parcels a day, propped up by a small operations team and twelve LiveOps FTE absorbing the day to day breakage. The squad's mission is to take the network from 170k to 2M parcels a day without LiveOps scaling linearly with it. That means systematising launch readiness, pitstop performance, pricing structure, and retention so the same number of operators can support a network twelve times the size. As a Data Analyst in the Pitstop squad, you will own the analytics that make all of this measurable. Are launches hitting day 1 quality? Is handover speed improving where new in app behaviour nudges have rolled out? Which pitstops are heading for churn and why? What's actually driving LiveOps ticket load, and which interventions are removing it? You'll build the monitoring layer the squad relies on, run the cost and performance investigations that shape what gets built next, and become the squad's source of truth on what's working. Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists, with analysts embedded into squads across the business. You will sit in the Pitstop squad, working day to day with operations, sales, engineering, design, and research. You will report into the centralised data team and be line managed by the Lead Data Analyst for Middle Mile, Pitstops & Sortation. WHAT YOU'LL DO Own the Pitstop squad's five outcome metrics: Launch Velocity, Handover Speed, Handover Accuracy, Pitstop Retention, and Indirect Cost per Parcel. Build the monitoring around them, investigate movement, and translate the numbers into next actions for the squad. Run the analytics behind pitstop performance and pricing: which behaviours move handover speed, how commercial tiers and clawbacks are landing, which pitstops are systematically under or over performing, and what the in app nudges are actually changing on the counter. Quantify the impact of squad initiatives in cost terms: how much LiveOps load did this self serve flow remove, how much Middle Mile driver time did this handover prompt unlock, and what is the CPP impact of retention work on mature pitstops. Build launch readiness analytics: cohort ramp curves, time to maturity, where new pitstops break in week one, and how the launch playbook should evolve as volume grows. Build the retention layer: a health score for pitstops, at risk alerting, churn diagnosis triaged by cause, and the feedback loop back into acquisition and onboarding. Investigate LiveOps ticket load by category and reason. Quantify what each ticket type costs, where the volume is concentrated, and which pillars should systematise it next. Define KPIs and build dashboards that make Pitstop performance transparent to the squad, to operations, and to leadership. Maintain and extend the squad's dbt models and data pipelines that underpin the monitoring layer. WHO WILL THRIVE IN THIS ROLE? You want to understand how an operation actually works, not analyse it from a distance. Pitstops are messy, varied, and behaviour driven. The best work comes from people who can sit with operators, watch handovers happen, and translate what they see into measurable signals. You're excited by cost and behaviour problems. Where is LiveOps spending time, what's driving handover friction, and where are systems failing in ways the data can show but the squad cannot yet feel. You can navigate messy operational data and turn it into metrics people trust. You're comfortable working alongside operations, design, engineering, and commercial stakeholders, and you can embed your analysis into their workflows. You're fluent in SQL and experienced with BI tools, with strong problem solving instincts. You have at least 3 years experience, ideally with exposure to logistics, parcels, retail operations, or another network scale operational business. You care about impact, not just insight. Success in this role is measured by whether the Pitstop network can scale without LiveOps scaling with it. You communicate clearly with non technical stakeholders and can explain what the data shows, where the limits are, and what to do next. WHO THRIVES AT RELAY? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Data Scientist Position Description Data Scientist (Energy) drives the development and delivery of cutting-edge solutions that strengthen the performance and resilience of electricity networks. Operating at the intersection of engineering, data science, and applied research, the role focuses on identifying operational challenges in the energy sector and transforming emerging technologies into practical, real-world applications. This position works collaboratively with Distribution Network Operators (DNOs), universities, research partners, and internal teams to explore innovation opportunities and co-develop impactful solutions. The engineer contributes technical expertise to data-driven initiatives, shaping models, algorithms, and analytical approaches that support decision-making and innovation outcomes. They play a hands-on role throughout the lifecycle of innovation projects, from early idea generation and feasibility assessment through to prototyping, testing, and deployment. Strong communication and collaboration skills are essential, as the role interfaces with engineering, product, consulting, and business stakeholders to design and refine technical solutions that meet sector needs. The ideal candidate brings deep knowledge of energy systems, experience with AI/ML technologies, and strong programming capabilities. Qualifications & Experience: . Experience within the energy sector, ideally focused on electricity networks or smart grids . Experience applying AI/ML technologies in engineering or operational settings . Strong Python programming skills and familiarity with data analysis, machine learning, or simulation frameworks . Ability to collaborate effectively in multidisciplinary teams and explain complex technical concepts to diverse audiences Key Duties & Responsibilities . Work closely with DNOs to understand operational challenges, explore innovation opportunities, and co-develop solutions that enhance network performance and resilience. . Partner with universities and research institutions to translate emerging technologies and scientific advancements into practical, real-world applications. . Contribute technical expertise to data-driven projects, helping shape models, algorithms, and analytical approaches that drive innovation outcomes. . Communicate effectively with engineering, product, consulting, and business teams to design, refine, and deliver technical solutions. . Support the full lifecycle of innovation projects, from idea generation and feasibility analysis to prototyping, testing, and deployment. Your future duties and responsibilities In this role, you will work at the intersection of data science, engineering, and applied research to design and deliver innovative solutions for electricity networks. You'll collaborate closely with Distribution Network Operators, research institutions, and internal teams to understand operational challenges and turn emerging technologies into practical, deployable solutions that drive resilience and performance. You'll contribute across the full innovation lifecycle, from early concept development and feasibility assessment through to prototyping, testing, and deployment. Supported by a collaborative environment, you'll be encouraged to take ownership of your ideas, apply creative problem-solving, and help shape data-driven approaches that influence real-world decision-making. Key responsibilities include: Collaborate & Discover - Work with DNOs to understand operational challenges and identify innovation opportunities Design & Deliver - Develop data-driven models, algorithms, and analytical approaches that support network optimisation Innovate & Translate - Partner with universities and research bodies to turn emerging technologies into applied solutions Communicate & Influence - Engage with engineering, product, consulting, and business teams to refine technical outcomes Prototype & Deploy - Support innovation projects from ideation through testing and real-world implementation Required qualifications to be successful in this role To succeed, you will bring strong experience in data science or AI applied within the energy sector, combined with the ability to collaborate across disciplines and communicate complex ideas clearly. You'll be comfortable applying advanced analytics in operational environments and motivated to turn insight into action. You should have: Experience working within the energy sector, ideally electricity networks or smart grids Experience applying AI/ML techniques in engineering or operational contexts Strong Python programming skills and experience with data analysis or machine learning frameworks Proven ability to collaborate within multidisciplinary teams and engage diverse stakeholders Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.
12/06/2026
Full time
Data Scientist Position Description Data Scientist (Energy) drives the development and delivery of cutting-edge solutions that strengthen the performance and resilience of electricity networks. Operating at the intersection of engineering, data science, and applied research, the role focuses on identifying operational challenges in the energy sector and transforming emerging technologies into practical, real-world applications. This position works collaboratively with Distribution Network Operators (DNOs), universities, research partners, and internal teams to explore innovation opportunities and co-develop impactful solutions. The engineer contributes technical expertise to data-driven initiatives, shaping models, algorithms, and analytical approaches that support decision-making and innovation outcomes. They play a hands-on role throughout the lifecycle of innovation projects, from early idea generation and feasibility assessment through to prototyping, testing, and deployment. Strong communication and collaboration skills are essential, as the role interfaces with engineering, product, consulting, and business stakeholders to design and refine technical solutions that meet sector needs. The ideal candidate brings deep knowledge of energy systems, experience with AI/ML technologies, and strong programming capabilities. Qualifications & Experience: . Experience within the energy sector, ideally focused on electricity networks or smart grids . Experience applying AI/ML technologies in engineering or operational settings . Strong Python programming skills and familiarity with data analysis, machine learning, or simulation frameworks . Ability to collaborate effectively in multidisciplinary teams and explain complex technical concepts to diverse audiences Key Duties & Responsibilities . Work closely with DNOs to understand operational challenges, explore innovation opportunities, and co-develop solutions that enhance network performance and resilience. . Partner with universities and research institutions to translate emerging technologies and scientific advancements into practical, real-world applications. . Contribute technical expertise to data-driven projects, helping shape models, algorithms, and analytical approaches that drive innovation outcomes. . Communicate effectively with engineering, product, consulting, and business teams to design, refine, and deliver technical solutions. . Support the full lifecycle of innovation projects, from idea generation and feasibility analysis to prototyping, testing, and deployment. Your future duties and responsibilities In this role, you will work at the intersection of data science, engineering, and applied research to design and deliver innovative solutions for electricity networks. You'll collaborate closely with Distribution Network Operators, research institutions, and internal teams to understand operational challenges and turn emerging technologies into practical, deployable solutions that drive resilience and performance. You'll contribute across the full innovation lifecycle, from early concept development and feasibility assessment through to prototyping, testing, and deployment. Supported by a collaborative environment, you'll be encouraged to take ownership of your ideas, apply creative problem-solving, and help shape data-driven approaches that influence real-world decision-making. Key responsibilities include: Collaborate & Discover - Work with DNOs to understand operational challenges and identify innovation opportunities Design & Deliver - Develop data-driven models, algorithms, and analytical approaches that support network optimisation Innovate & Translate - Partner with universities and research bodies to turn emerging technologies into applied solutions Communicate & Influence - Engage with engineering, product, consulting, and business teams to refine technical outcomes Prototype & Deploy - Support innovation projects from ideation through testing and real-world implementation Required qualifications to be successful in this role To succeed, you will bring strong experience in data science or AI applied within the energy sector, combined with the ability to collaborate across disciplines and communicate complex ideas clearly. You'll be comfortable applying advanced analytics in operational environments and motivated to turn insight into action. You should have: Experience working within the energy sector, ideally electricity networks or smart grids Experience applying AI/ML techniques in engineering or operational contexts Strong Python programming skills and experience with data analysis or machine learning frameworks Proven ability to collaborate within multidisciplinary teams and engage diverse stakeholders Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.
Azure Data Architect Position Description At CGI, we help organisations unlock the full value of their data through secure, scalable Azure solutions. As an Azure Data Architect, you'll shape modern data platforms that drive better decisions, improve services, and deliver real business outcomes. You'll work with clients across some of the UK's most important sectors, defining data strategies, designing cloud architectures, and influencing the future of enterprise data. You'll have the opportunity to lead, innovate and collaborate with talented colleagues while developing your career within a supportive and inclusive environment. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. This role is a hybrid role based in Newcastle. Your future duties and responsibilities As an Azure Data Architect, you'll lead the design and delivery of modern Azure data platforms, helping clients transform complex data into valuable business insight. You'll work closely with stakeholders, engineers and architects to create secure, scalable solutions that support long-term growth and innovation. You'll also help shape cloud strategies, promote best practice, mentor colleagues and contribute to technical leadership across CGI's growing data community. • Design scalable Azure data architectures • Develop enterprise data strategies and roadmaps • Build secure, high-performing data platforms • Drive data governance and best practice • Implement CI/CD and modern data engineering approaches • Collaborate with clients and technical teams • Mentor and support colleagues • Contribute to bids, innovation and solution design Required qualifications to be successful in this role We're looking for someone with strong Azure data architecture experience who enjoys solving complex challenges and working collaboratively with clients and delivery teams. • Experience as a Data Architect within enterprise environments • Strong data modelling and database design expertise • Hands-on experience with Azure Data Factory, Azure Data Lake, Azure SQL, Cosmos DB and Power BI • Knowledge of Azure security, governance and compliance • Experience designing scalable cloud data platforms • Strong stakeholder engagement and communication skills Desirable • Azure Solutions Architect Expert certification • Azure Data Engineer Associate certification • Azure AI or Data Scientist certification • Degree or equivalent professional experience Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.
12/06/2026
Full time
Azure Data Architect Position Description At CGI, we help organisations unlock the full value of their data through secure, scalable Azure solutions. As an Azure Data Architect, you'll shape modern data platforms that drive better decisions, improve services, and deliver real business outcomes. You'll work with clients across some of the UK's most important sectors, defining data strategies, designing cloud architectures, and influencing the future of enterprise data. You'll have the opportunity to lead, innovate and collaborate with talented colleagues while developing your career within a supportive and inclusive environment. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. This role is a hybrid role based in Newcastle. Your future duties and responsibilities As an Azure Data Architect, you'll lead the design and delivery of modern Azure data platforms, helping clients transform complex data into valuable business insight. You'll work closely with stakeholders, engineers and architects to create secure, scalable solutions that support long-term growth and innovation. You'll also help shape cloud strategies, promote best practice, mentor colleagues and contribute to technical leadership across CGI's growing data community. • Design scalable Azure data architectures • Develop enterprise data strategies and roadmaps • Build secure, high-performing data platforms • Drive data governance and best practice • Implement CI/CD and modern data engineering approaches • Collaborate with clients and technical teams • Mentor and support colleagues • Contribute to bids, innovation and solution design Required qualifications to be successful in this role We're looking for someone with strong Azure data architecture experience who enjoys solving complex challenges and working collaboratively with clients and delivery teams. • Experience as a Data Architect within enterprise environments • Strong data modelling and database design expertise • Hands-on experience with Azure Data Factory, Azure Data Lake, Azure SQL, Cosmos DB and Power BI • Knowledge of Azure security, governance and compliance • Experience designing scalable cloud data platforms • Strong stakeholder engagement and communication skills Desirable • Azure Solutions Architect Expert certification • Azure Data Engineer Associate certification • Azure AI or Data Scientist certification • Degree or equivalent professional experience Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.
Lead Data Scientist Pay of up £92,522, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. We want to hire a new Lead Data Scientist. If you're skilled at harnessing data and applying advanced analytics to improve outcomes and excited by the prospect of using data and technology at scale in innovative ways to solve complex problems we'd love to hear from you. DWP Digital provides inspiring career opportunities for people who are passionate about creating meaningful impact. As the Lead Data Scientist for Working Age Services, you will lead a high-performing analytical team helping to improve outcomes for claimants and agents. You'll use data science to inform the design, deliver and evaluation of Working Age digital services. Working closely with the Working Age Services Data Lead and Delivery Lead, you will collaborate with cross-disciplinary development teams to understand their data needs and ensure these are effectively met through strong engagement with the Data and Analytics platform team. DWP. Digital with Purpose. What skills, knowledge and experience will you need? Demonstrable experience of leading high-performing, multi-disciplinary teams that deliver analytics and insights at pace, effectively supporting project, programme and business outcomes. Strong working knowledge of a broad range of data science techniques including a clear understanding of their appropriate application alongside a commitment to remaining current with emerging industry developments and practices. Proven ability to build and maintain trusted relationships with peers and senior stakeholders including colleagues across digital, operations and policy in order to understand requirements and maximise value delivery. Evidenced capability in establishing standards and best practices for teams including implementing appropriate safeguards to ensure compliance with privacy, security and data protection principles as well as addressing ethical considerations such as unintended bias. Demonstrable contribution to leadership within the professional community including shaping recruitment strategies, supporting career progression and contributing to wider Digital Practice initiatives. Proven ability to create an inclusive and diverse working environment in which individuals feel safe to challenge, are confident their perspectives will be heard and are supported to take initiative and develop professionally. A degree or higher in STEM (Science, Technology, Engineering, or Mathematics) is essential for this role, and evidence of qualification will be requested. You and your role As a Lead Data Scientist, you will shape analytics, insight and evidence for Working Age Services - the part of DWP that supports millions of people of working age through services such as Universal Credit, helping them access financial support, employment opportunities and essential services. You will lead and develop a high-performing team, applying advanced analytical and data science methods. You will align your team's work with the DWP Data and AI strategies, ensuring effective use of central platforms, standards and capabilities. You will be accountable for the quality and impact of analytical outputs - from experimentation and evaluation approaches through to reporting and machine learning applications - ensuring they drive measurable improvements for citizens and DWP colleagues. Working closely with senior stakeholders across digital, operations and policy, you will influence how performance is measured, improve data quality, and embed a stronger culture of evidence-based decision-making. You will also set the standard for responsible data science - maintaining robust governance around privacy, security and data protection, and proactively addressing ethical considerations such as bias. As a senior leader in the profession, you will contribute to building an inclusive, high-performing community by supporting recruitment, developing talent, and helping shape the wider Digital Practice. Please note that the role may involve travel to other digital hubs, with frequency discussed if you are successful. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Leeds, Manchester, Newcastle or Sheffield. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer competitive pay of up to £92,522. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £23,253 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Flexible working including flexible hours and flex-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Sports and social activities Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through. Interview: a single stage interview online. CLICK APPLY for more information and to start your application.
12/06/2026
Full time
Lead Data Scientist Pay of up £92,522, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. We want to hire a new Lead Data Scientist. If you're skilled at harnessing data and applying advanced analytics to improve outcomes and excited by the prospect of using data and technology at scale in innovative ways to solve complex problems we'd love to hear from you. DWP Digital provides inspiring career opportunities for people who are passionate about creating meaningful impact. As the Lead Data Scientist for Working Age Services, you will lead a high-performing analytical team helping to improve outcomes for claimants and agents. You'll use data science to inform the design, deliver and evaluation of Working Age digital services. Working closely with the Working Age Services Data Lead and Delivery Lead, you will collaborate with cross-disciplinary development teams to understand their data needs and ensure these are effectively met through strong engagement with the Data and Analytics platform team. DWP. Digital with Purpose. What skills, knowledge and experience will you need? Demonstrable experience of leading high-performing, multi-disciplinary teams that deliver analytics and insights at pace, effectively supporting project, programme and business outcomes. Strong working knowledge of a broad range of data science techniques including a clear understanding of their appropriate application alongside a commitment to remaining current with emerging industry developments and practices. Proven ability to build and maintain trusted relationships with peers and senior stakeholders including colleagues across digital, operations and policy in order to understand requirements and maximise value delivery. Evidenced capability in establishing standards and best practices for teams including implementing appropriate safeguards to ensure compliance with privacy, security and data protection principles as well as addressing ethical considerations such as unintended bias. Demonstrable contribution to leadership within the professional community including shaping recruitment strategies, supporting career progression and contributing to wider Digital Practice initiatives. Proven ability to create an inclusive and diverse working environment in which individuals feel safe to challenge, are confident their perspectives will be heard and are supported to take initiative and develop professionally. A degree or higher in STEM (Science, Technology, Engineering, or Mathematics) is essential for this role, and evidence of qualification will be requested. You and your role As a Lead Data Scientist, you will shape analytics, insight and evidence for Working Age Services - the part of DWP that supports millions of people of working age through services such as Universal Credit, helping them access financial support, employment opportunities and essential services. You will lead and develop a high-performing team, applying advanced analytical and data science methods. You will align your team's work with the DWP Data and AI strategies, ensuring effective use of central platforms, standards and capabilities. You will be accountable for the quality and impact of analytical outputs - from experimentation and evaluation approaches through to reporting and machine learning applications - ensuring they drive measurable improvements for citizens and DWP colleagues. Working closely with senior stakeholders across digital, operations and policy, you will influence how performance is measured, improve data quality, and embed a stronger culture of evidence-based decision-making. You will also set the standard for responsible data science - maintaining robust governance around privacy, security and data protection, and proactively addressing ethical considerations such as bias. As a senior leader in the profession, you will contribute to building an inclusive, high-performing community by supporting recruitment, developing talent, and helping shape the wider Digital Practice. Please note that the role may involve travel to other digital hubs, with frequency discussed if you are successful. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Leeds, Manchester, Newcastle or Sheffield. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer competitive pay of up to £92,522. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £23,253 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Flexible working including flexible hours and flex-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Sports and social activities Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through. Interview: a single stage interview online. CLICK APPLY for more information and to start your application.
Lead Data Scientist Pay of up £92,522, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. We want to hire a new Lead Data Scientist. If you're skilled at harnessing data and applying advanced analytics to improve outcomes and excited by the prospect of using data and technology at scale in innovative ways to solve complex problems we'd love to hear from you. DWP Digital provides inspiring career opportunities for people who are passionate about creating meaningful impact. As the Lead Data Scientist for Working Age Services, you will lead a high-performing analytical team helping to improve outcomes for claimants and agents. You'll use data science to inform the design, deliver and evaluation of Working Age digital services. Working closely with the Working Age Services Data Lead and Delivery Lead, you will collaborate with cross-disciplinary development teams to understand their data needs and ensure these are effectively met through strong engagement with the Data and Analytics platform team. DWP. Digital with Purpose. What skills, knowledge and experience will you need? Demonstrable experience of leading high-performing, multi-disciplinary teams that deliver analytics and insights at pace, effectively supporting project, programme and business outcomes. Strong working knowledge of a broad range of data science techniques including a clear understanding of their appropriate application alongside a commitment to remaining current with emerging industry developments and practices. Proven ability to build and maintain trusted relationships with peers and senior stakeholders including colleagues across digital, operations and policy in order to understand requirements and maximise value delivery. Evidenced capability in establishing standards and best practices for teams including implementing appropriate safeguards to ensure compliance with privacy, security and data protection principles as well as addressing ethical considerations such as unintended bias. Demonstrable contribution to leadership within the professional community including shaping recruitment strategies, supporting career progression and contributing to wider Digital Practice initiatives. Proven ability to create an inclusive and diverse working environment in which individuals feel safe to challenge, are confident their perspectives will be heard and are supported to take initiative and develop professionally. A degree or higher in STEM (Science, Technology, Engineering, or Mathematics) is essential for this role, and evidence of qualification will be requested. You and your role As a Lead Data Scientist, you will shape analytics, insight and evidence for Working Age Services - the part of DWP that supports millions of people of working age through services such as Universal Credit, helping them access financial support, employment opportunities and essential services. You will lead and develop a high-performing team, applying advanced analytical and data science methods. You will align your team's work with the DWP Data and AI strategies, ensuring effective use of central platforms, standards and capabilities. You will be accountable for the quality and impact of analytical outputs - from experimentation and evaluation approaches through to reporting and machine learning applications - ensuring they drive measurable improvements for citizens and DWP colleagues. Working closely with senior stakeholders across digital, operations and policy, you will influence how performance is measured, improve data quality, and embed a stronger culture of evidence-based decision-making. You will also set the standard for responsible data science - maintaining robust governance around privacy, security and data protection, and proactively addressing ethical considerations such as bias. As a senior leader in the profession, you will contribute to building an inclusive, high-performing community by supporting recruitment, developing talent, and helping shape the wider Digital Practice. Please note that the role may involve travel to other digital hubs, with frequency discussed if you are successful. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Leeds, Manchester, Newcastle or Sheffield. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer competitive pay of up to £92,522. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £23,253 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Flexible working including flexible hours and flex-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Sports and social activities Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through. Interview: a single stage interview online. CLICK APPLY for more information and to start your application
12/06/2026
Full time
Lead Data Scientist Pay of up £92,522, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. We want to hire a new Lead Data Scientist. If you're skilled at harnessing data and applying advanced analytics to improve outcomes and excited by the prospect of using data and technology at scale in innovative ways to solve complex problems we'd love to hear from you. DWP Digital provides inspiring career opportunities for people who are passionate about creating meaningful impact. As the Lead Data Scientist for Working Age Services, you will lead a high-performing analytical team helping to improve outcomes for claimants and agents. You'll use data science to inform the design, deliver and evaluation of Working Age digital services. Working closely with the Working Age Services Data Lead and Delivery Lead, you will collaborate with cross-disciplinary development teams to understand their data needs and ensure these are effectively met through strong engagement with the Data and Analytics platform team. DWP. Digital with Purpose. What skills, knowledge and experience will you need? Demonstrable experience of leading high-performing, multi-disciplinary teams that deliver analytics and insights at pace, effectively supporting project, programme and business outcomes. Strong working knowledge of a broad range of data science techniques including a clear understanding of their appropriate application alongside a commitment to remaining current with emerging industry developments and practices. Proven ability to build and maintain trusted relationships with peers and senior stakeholders including colleagues across digital, operations and policy in order to understand requirements and maximise value delivery. Evidenced capability in establishing standards and best practices for teams including implementing appropriate safeguards to ensure compliance with privacy, security and data protection principles as well as addressing ethical considerations such as unintended bias. Demonstrable contribution to leadership within the professional community including shaping recruitment strategies, supporting career progression and contributing to wider Digital Practice initiatives. Proven ability to create an inclusive and diverse working environment in which individuals feel safe to challenge, are confident their perspectives will be heard and are supported to take initiative and develop professionally. A degree or higher in STEM (Science, Technology, Engineering, or Mathematics) is essential for this role, and evidence of qualification will be requested. You and your role As a Lead Data Scientist, you will shape analytics, insight and evidence for Working Age Services - the part of DWP that supports millions of people of working age through services such as Universal Credit, helping them access financial support, employment opportunities and essential services. You will lead and develop a high-performing team, applying advanced analytical and data science methods. You will align your team's work with the DWP Data and AI strategies, ensuring effective use of central platforms, standards and capabilities. You will be accountable for the quality and impact of analytical outputs - from experimentation and evaluation approaches through to reporting and machine learning applications - ensuring they drive measurable improvements for citizens and DWP colleagues. Working closely with senior stakeholders across digital, operations and policy, you will influence how performance is measured, improve data quality, and embed a stronger culture of evidence-based decision-making. You will also set the standard for responsible data science - maintaining robust governance around privacy, security and data protection, and proactively addressing ethical considerations such as bias. As a senior leader in the profession, you will contribute to building an inclusive, high-performing community by supporting recruitment, developing talent, and helping shape the wider Digital Practice. Please note that the role may involve travel to other digital hubs, with frequency discussed if you are successful. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Leeds, Manchester, Newcastle or Sheffield. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer competitive pay of up to £92,522. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £23,253 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Flexible working including flexible hours and flex-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Sports and social activities Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through. Interview: a single stage interview online. CLICK APPLY for more information and to start your application
Lead Data Scientist Pay of up £92,522, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. We want to hire a new Lead Data Scientist. If you're skilled at harnessing data and applying advanced analytics to improve outcomes and excited by the prospect of using data and technology at scale in innovative ways to solve complex problems we'd love to hear from you. DWP Digital provides inspiring career opportunities for people who are passionate about creating meaningful impact. As the Lead Data Scientist for Working Age Services, you will lead a high-performing analytical team helping to improve outcomes for claimants and agents. You'll use data science to inform the design, deliver and evaluation of Working Age digital services. Working closely with the Working Age Services Data Lead and Delivery Lead, you will collaborate with cross-disciplinary development teams to understand their data needs and ensure these are effectively met through strong engagement with the Data and Analytics platform team. DWP. Digital with Purpose. What skills, knowledge and experience will you need? Demonstrable experience of leading high-performing, multi-disciplinary teams that deliver analytics and insights at pace, effectively supporting project, programme and business outcomes. Strong working knowledge of a broad range of data science techniques including a clear understanding of their appropriate application alongside a commitment to remaining current with emerging industry developments and practices. Proven ability to build and maintain trusted relationships with peers and senior stakeholders including colleagues across digital, operations and policy in order to understand requirements and maximise value delivery. Evidenced capability in establishing standards and best practices for teams including implementing appropriate safeguards to ensure compliance with privacy, security and data protection principles as well as addressing ethical considerations such as unintended bias. Demonstrable contribution to leadership within the professional community including shaping recruitment strategies, supporting career progression and contributing to wider Digital Practice initiatives. Proven ability to create an inclusive and diverse working environment in which individuals feel safe to challenge, are confident their perspectives will be heard and are supported to take initiative and develop professionally. A degree or higher in STEM (Science, Technology, Engineering, or Mathematics) is essential for this role, and evidence of qualification will be requested. You and your role As a Lead Data Scientist, you will shape analytics, insight and evidence for Working Age Services - the part of DWP that supports millions of people of working age through services such as Universal Credit, helping them access financial support, employment opportunities and essential services. You will lead and develop a high-performing team, applying advanced analytical and data science methods. You will align your team's work with the DWP Data and AI strategies, ensuring effective use of central platforms, standards and capabilities. You will be accountable for the quality and impact of analytical outputs - from experimentation and evaluation approaches through to reporting and machine learning applications - ensuring they drive measurable improvements for citizens and DWP colleagues. Working closely with senior stakeholders across digital, operations and policy, you will influence how performance is measured, improve data quality, and embed a stronger culture of evidence-based decision-making. You will also set the standard for responsible data science - maintaining robust governance around privacy, security and data protection, and proactively addressing ethical considerations such as bias. As a senior leader in the profession, you will contribute to building an inclusive, high-performing community by supporting recruitment, developing talent, and helping shape the wider Digital Practice. Please note that the role may involve travel to other digital hubs, with frequency discussed if you are successful. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Leeds, Manchester, Newcastle or Sheffield. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer competitive pay of up to £92,522. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £23,253 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Flexible working including flexible hours and flex-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Sports and social activities Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through. Interview: a single stage interview online. CLICK APPLY for more information and to start your application.
12/06/2026
Full time
Lead Data Scientist Pay of up £92,522, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. We want to hire a new Lead Data Scientist. If you're skilled at harnessing data and applying advanced analytics to improve outcomes and excited by the prospect of using data and technology at scale in innovative ways to solve complex problems we'd love to hear from you. DWP Digital provides inspiring career opportunities for people who are passionate about creating meaningful impact. As the Lead Data Scientist for Working Age Services, you will lead a high-performing analytical team helping to improve outcomes for claimants and agents. You'll use data science to inform the design, deliver and evaluation of Working Age digital services. Working closely with the Working Age Services Data Lead and Delivery Lead, you will collaborate with cross-disciplinary development teams to understand their data needs and ensure these are effectively met through strong engagement with the Data and Analytics platform team. DWP. Digital with Purpose. What skills, knowledge and experience will you need? Demonstrable experience of leading high-performing, multi-disciplinary teams that deliver analytics and insights at pace, effectively supporting project, programme and business outcomes. Strong working knowledge of a broad range of data science techniques including a clear understanding of their appropriate application alongside a commitment to remaining current with emerging industry developments and practices. Proven ability to build and maintain trusted relationships with peers and senior stakeholders including colleagues across digital, operations and policy in order to understand requirements and maximise value delivery. Evidenced capability in establishing standards and best practices for teams including implementing appropriate safeguards to ensure compliance with privacy, security and data protection principles as well as addressing ethical considerations such as unintended bias. Demonstrable contribution to leadership within the professional community including shaping recruitment strategies, supporting career progression and contributing to wider Digital Practice initiatives. Proven ability to create an inclusive and diverse working environment in which individuals feel safe to challenge, are confident their perspectives will be heard and are supported to take initiative and develop professionally. A degree or higher in STEM (Science, Technology, Engineering, or Mathematics) is essential for this role, and evidence of qualification will be requested. You and your role As a Lead Data Scientist, you will shape analytics, insight and evidence for Working Age Services - the part of DWP that supports millions of people of working age through services such as Universal Credit, helping them access financial support, employment opportunities and essential services. You will lead and develop a high-performing team, applying advanced analytical and data science methods. You will align your team's work with the DWP Data and AI strategies, ensuring effective use of central platforms, standards and capabilities. You will be accountable for the quality and impact of analytical outputs - from experimentation and evaluation approaches through to reporting and machine learning applications - ensuring they drive measurable improvements for citizens and DWP colleagues. Working closely with senior stakeholders across digital, operations and policy, you will influence how performance is measured, improve data quality, and embed a stronger culture of evidence-based decision-making. You will also set the standard for responsible data science - maintaining robust governance around privacy, security and data protection, and proactively addressing ethical considerations such as bias. As a senior leader in the profession, you will contribute to building an inclusive, high-performing community by supporting recruitment, developing talent, and helping shape the wider Digital Practice. Please note that the role may involve travel to other digital hubs, with frequency discussed if you are successful. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Leeds, Manchester, Newcastle or Sheffield. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer competitive pay of up to £92,522. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £23,253 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Flexible working including flexible hours and flex-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Sports and social activities Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through. Interview: a single stage interview online. CLICK APPLY for more information and to start your application.
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is free commerce from friction. Today, high delivery costs act as a hidden tax on e commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation OVERVIEW Relay's Pitstop network is the convenience store backbone of the operation. Customers drop off and collect parcels at these locations, Middle Mile drivers hand off and pick up, and the whole network depends on independent retailers behaving in ways that make Relay work. They aren't Relay staff. We don't control their attention, their turnover, or what else is happening behind their counter. Every behaviour we need has to be produced through systems, incentives, and the app. The Pitstop squad's job is to build those systems. Today the network runs at around 170k parcels a day, propped up by a small operations team and twelve LiveOps FTE absorbing the day to day breakage. The squad's mission is to take the network from 170k to 2M parcels a day without LiveOps scaling linearly with it. That means systematising launch readiness, pitstop performance, pricing structure, and retention so the same number of operators can support a network twelve times the size. As a Data Analyst in the Pitstop squad, you will own the analytics that make all of this measurable. Are launches hitting day 1 quality? Is handover speed improving where new in app behaviour nudges have rolled out? Which pitstops are heading for churn and why? What's actually driving LiveOps ticket load, and which interventions are removing it? You'll build the monitoring layer the squad relies on, run the cost and performance investigations that shape what gets built next, and become the squad's source of truth on what's working. Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists, with analysts embedded into squads across the business. You will sit in the Pitstop squad, working day to day with operations, sales, engineering, design, and research. You will report into the centralised data team and be line managed by the Lead Data Analyst for Middle Mile, Pitstops & Sortation. WHAT YOU'LL DO Own the Pitstop squad's five outcome metrics: Launch Velocity, Handover Speed, Handover Accuracy, Pitstop Retention, and Indirect Cost per Parcel. Build the monitoring around them, investigate movement, and translate the numbers into next actions for the squad. Run the analytics behind pitstop performance and pricing: which behaviours move handover speed, how commercial tiers and clawbacks are landing, which pitstops are systematically under or over performing, and what the in app nudges are actually changing on the counter. Quantify the impact of squad initiatives in cost terms: how much LiveOps load did this self serve flow remove, how much Middle Mile driver time did this handover prompt unlock, and what is the CPP impact of retention work on mature pitstops. Build launch readiness analytics: cohort ramp curves, time to maturity, where new pitstops break in week one, and how the launch playbook should evolve as volume grows. Build the retention layer: a health score for pitstops, at risk alerting, churn diagnosis triaged by cause, and the feedback loop back into acquisition and onboarding. Investigate LiveOps ticket load by category and reason. Quantify what each ticket type costs, where the volume is concentrated, and which pillars should systematise it next. Define KPIs and build dashboards that make Pitstop performance transparent to the squad, to operations, and to leadership. Maintain and extend the squad's dbt models and data pipelines that underpin the monitoring layer. WHO WILL THRIVE IN THIS ROLE? You want to understand how an operation actually works, not analyse it from a distance. Pitstops are messy, varied, and behaviour driven. The best work comes from people who can sit with operators, watch handovers happen, and translate what they see into measurable signals. You're excited by cost and behaviour problems. Where is LiveOps spending time, what's driving handover friction, and where are systems failing in ways the data can show but the squad cannot yet feel. You can navigate messy operational data and turn it into metrics people trust. You're comfortable working alongside operations, design, engineering, and commercial stakeholders, and you can embed your analysis into their workflows. You're fluent in SQL and experienced with BI tools, with strong problem solving instincts. You have at least 3 years experience, ideally with exposure to logistics, parcels, retail operations, or another network scale operational business. You care about impact, not just insight. Success in this role is measured by whether the Pitstop network can scale without LiveOps scaling with it. You communicate clearly with non technical stakeholders and can explain what the data shows, where the limits are, and what to do next. WHO THRIVES AT RELAY? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
12/06/2026
Full time
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is free commerce from friction. Today, high delivery costs act as a hidden tax on e commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation OVERVIEW Relay's Pitstop network is the convenience store backbone of the operation. Customers drop off and collect parcels at these locations, Middle Mile drivers hand off and pick up, and the whole network depends on independent retailers behaving in ways that make Relay work. They aren't Relay staff. We don't control their attention, their turnover, or what else is happening behind their counter. Every behaviour we need has to be produced through systems, incentives, and the app. The Pitstop squad's job is to build those systems. Today the network runs at around 170k parcels a day, propped up by a small operations team and twelve LiveOps FTE absorbing the day to day breakage. The squad's mission is to take the network from 170k to 2M parcels a day without LiveOps scaling linearly with it. That means systematising launch readiness, pitstop performance, pricing structure, and retention so the same number of operators can support a network twelve times the size. As a Data Analyst in the Pitstop squad, you will own the analytics that make all of this measurable. Are launches hitting day 1 quality? Is handover speed improving where new in app behaviour nudges have rolled out? Which pitstops are heading for churn and why? What's actually driving LiveOps ticket load, and which interventions are removing it? You'll build the monitoring layer the squad relies on, run the cost and performance investigations that shape what gets built next, and become the squad's source of truth on what's working. Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists, with analysts embedded into squads across the business. You will sit in the Pitstop squad, working day to day with operations, sales, engineering, design, and research. You will report into the centralised data team and be line managed by the Lead Data Analyst for Middle Mile, Pitstops & Sortation. WHAT YOU'LL DO Own the Pitstop squad's five outcome metrics: Launch Velocity, Handover Speed, Handover Accuracy, Pitstop Retention, and Indirect Cost per Parcel. Build the monitoring around them, investigate movement, and translate the numbers into next actions for the squad. Run the analytics behind pitstop performance and pricing: which behaviours move handover speed, how commercial tiers and clawbacks are landing, which pitstops are systematically under or over performing, and what the in app nudges are actually changing on the counter. Quantify the impact of squad initiatives in cost terms: how much LiveOps load did this self serve flow remove, how much Middle Mile driver time did this handover prompt unlock, and what is the CPP impact of retention work on mature pitstops. Build launch readiness analytics: cohort ramp curves, time to maturity, where new pitstops break in week one, and how the launch playbook should evolve as volume grows. Build the retention layer: a health score for pitstops, at risk alerting, churn diagnosis triaged by cause, and the feedback loop back into acquisition and onboarding. Investigate LiveOps ticket load by category and reason. Quantify what each ticket type costs, where the volume is concentrated, and which pillars should systematise it next. Define KPIs and build dashboards that make Pitstop performance transparent to the squad, to operations, and to leadership. Maintain and extend the squad's dbt models and data pipelines that underpin the monitoring layer. WHO WILL THRIVE IN THIS ROLE? You want to understand how an operation actually works, not analyse it from a distance. Pitstops are messy, varied, and behaviour driven. The best work comes from people who can sit with operators, watch handovers happen, and translate what they see into measurable signals. You're excited by cost and behaviour problems. Where is LiveOps spending time, what's driving handover friction, and where are systems failing in ways the data can show but the squad cannot yet feel. You can navigate messy operational data and turn it into metrics people trust. You're comfortable working alongside operations, design, engineering, and commercial stakeholders, and you can embed your analysis into their workflows. You're fluent in SQL and experienced with BI tools, with strong problem solving instincts. You have at least 3 years experience, ideally with exposure to logistics, parcels, retail operations, or another network scale operational business. You care about impact, not just insight. Success in this role is measured by whether the Pitstop network can scale without LiveOps scaling with it. You communicate clearly with non technical stakeholders and can explain what the data shows, where the limits are, and what to do next. WHO THRIVES AT RELAY? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Role Description - What you will work on Design, build, and evolve batch and streaming data pipelines that power refinery modeling, analytics, and customer-facing products. Own complex data ingestion, transformation, validation, and delivery workflows across multiple data sources. Drive improvements in pipeline reliability, scalability, and observability, including retries, backfills, data quality checks, and monitoring. Lead schema design, versioning, and evolution strategies to support stable, long-lived data contracts. Build and maintain backend components and APIs used to serve data to downstream systems and applications. Partner closely with data scientists, product managers, and other engineers to translate domain requirements into robust technical solutions. Continuously improve existing systems as data volume, complexity, and product expectations grow. Responsibilities Design, build, and evolve batch and streaming data pipelines that power refinery modeling, analytics, and customer-facing products. Own complex data ingestion, transformation, validation, and delivery workflows across multiple data sources. Drive improvements in pipeline reliability, scalability, and observability, including retries, backfills, data quality checks, and monitoring. Lead schema design, versioning, and evolution strategies to support stable, long-lived data contracts. Build and maintain backend components and APIs used to serve data to downstream systems and applications. Partner closely with data scientists, product managers, and other engineers to translate domain requirements into robust technical solutions. Continuously improve existing systems as data volume, complexity, and product expectations grow. Skills and Experience Deliver high-quality, well-tested, and maintainable code, setting a strong example for engineering best practices. Own significant parts of the data platform end-to-end, from ingestion to production delivery. Make architectural contributions to data processing, storage, and delivery patterns. Contribute to and improve CI/CD pipelines, automation, and operational tooling. Instrument services and pipelines with metrics, logs, and alerts, and help define operational standards. Play an active role in incident response, root-cause analysis, and long-term system improvements. Review code, mentor other engineers, and help reinforce shared coding and architectural standards across the team. Nice to have Exposure to Kafka, Spark, or streaming architectures. Experience with Kubernetes. Familiarity with event-driven or microservices architectures. Exposure to analytical datastores (e.g. Elasticsearch). Full-stack awareness (e.g. ability to read, review, and provide feedback on frontend or API-layer pull requests, without being a primary frontend contributor). Prior experience working on data products in energy, commodities, or industrial domains. Kpler is committed to providing a fair, inclusive and diverse work-environment. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.
12/06/2026
Full time
Role Description - What you will work on Design, build, and evolve batch and streaming data pipelines that power refinery modeling, analytics, and customer-facing products. Own complex data ingestion, transformation, validation, and delivery workflows across multiple data sources. Drive improvements in pipeline reliability, scalability, and observability, including retries, backfills, data quality checks, and monitoring. Lead schema design, versioning, and evolution strategies to support stable, long-lived data contracts. Build and maintain backend components and APIs used to serve data to downstream systems and applications. Partner closely with data scientists, product managers, and other engineers to translate domain requirements into robust technical solutions. Continuously improve existing systems as data volume, complexity, and product expectations grow. Responsibilities Design, build, and evolve batch and streaming data pipelines that power refinery modeling, analytics, and customer-facing products. Own complex data ingestion, transformation, validation, and delivery workflows across multiple data sources. Drive improvements in pipeline reliability, scalability, and observability, including retries, backfills, data quality checks, and monitoring. Lead schema design, versioning, and evolution strategies to support stable, long-lived data contracts. Build and maintain backend components and APIs used to serve data to downstream systems and applications. Partner closely with data scientists, product managers, and other engineers to translate domain requirements into robust technical solutions. Continuously improve existing systems as data volume, complexity, and product expectations grow. Skills and Experience Deliver high-quality, well-tested, and maintainable code, setting a strong example for engineering best practices. Own significant parts of the data platform end-to-end, from ingestion to production delivery. Make architectural contributions to data processing, storage, and delivery patterns. Contribute to and improve CI/CD pipelines, automation, and operational tooling. Instrument services and pipelines with metrics, logs, and alerts, and help define operational standards. Play an active role in incident response, root-cause analysis, and long-term system improvements. Review code, mentor other engineers, and help reinforce shared coding and architectural standards across the team. Nice to have Exposure to Kafka, Spark, or streaming architectures. Experience with Kubernetes. Familiarity with event-driven or microservices architectures. Exposure to analytical datastores (e.g. Elasticsearch). Full-stack awareness (e.g. ability to read, review, and provide feedback on frontend or API-layer pull requests, without being a primary frontend contributor). Prior experience working on data products in energy, commodities, or industrial domains. Kpler is committed to providing a fair, inclusive and diverse work-environment. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.
Chubb is looking for an AI Engineer to design, build, and deploy generative AI solutions that improve how we operate across the insurance lifecycle - from underwriting and claims to customer service and risk assessment. This role sits at the intersection of software engineering and applied AI, turning the latest LLM capabilities into reliable, production-grade systems built on our Azure and Databricks platform. Key Responsibilities: Design and build end-to-end generative AI applications using LangGraph, including agentic workflows, RAG pipelines, and LLM-integrated services. Develop robust, well-tested backend APIs with FastAPI, containerized via Docker and deployed on Kubernetes. Build and maintain search and retrieval solutions using Azure AI Search and MongoDB. Work within our Azure cloud environment, integrating with Azure OpenAI, Azure services, and our broader data platform. Collaborate with product managers, data scientists, and engineers to scope and deliver AI features that address real insurance business problems. Own the full software lifecycle, including design, code review, testing, deployment, and monitoring in production. Translate complex business requirements into well scoped technical solutions with a strong focus on reliability, maintainability, and failure modes. Qualifications Desired Qualifications: 3+ years of software engineering experience, with strong fundamentals in system design, data structures, and clean code practices. Proficiency in Python, including building and shipping production backend services. Hands on experience building applications with LLMs such as Azure OpenAI, OpenAI, Anthropic, or similar. Experience with FastAPI or comparable Python web frameworks. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with cloud platforms, preferably Azure. Experience with LangGraph, LangChain, or other agentic/orchestration frameworks is preferred. Familiarity with Azure AI Search or other vector/hybrid search solutions is preferred. Experience with Databricks and PySpark for large-scale data processing is preferred. Background in traditional ML or data engineering, including feature pipelines, model training, and ETL, is preferred. MongoDB or other NoSQL database experience is preferred. Prior exposure to insurance domain concepts such as underwriting, claims, and policy administration is preferred. We offer in return! Competitive salary & pension scheme, discretionary bonus scheme, 25 days annual leave plus ability to purchase 5 additional days, hybrid working options, Private Medical cover, Employee Share Purchase Plan, Life Assurance, Subsidised gym membership, Comprehensive Learning & development offerings, Employee Assistance program. Diversity & Inclusion. At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances. We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long-term condition (for example dyslexia, anxiety, autism, a mobility condition or hearing loss) and need us to make any reasonable adjustments, changes or do anything differently during the recruitment process, please let us know. Job Info Job Identification 33215 Job Schedule Full time Regular or Temporary Regular Job Category Data Engineering Business Unit United Kingdom Legal Employer Chubb European Group SE UK Branch
12/06/2026
Full time
Chubb is looking for an AI Engineer to design, build, and deploy generative AI solutions that improve how we operate across the insurance lifecycle - from underwriting and claims to customer service and risk assessment. This role sits at the intersection of software engineering and applied AI, turning the latest LLM capabilities into reliable, production-grade systems built on our Azure and Databricks platform. Key Responsibilities: Design and build end-to-end generative AI applications using LangGraph, including agentic workflows, RAG pipelines, and LLM-integrated services. Develop robust, well-tested backend APIs with FastAPI, containerized via Docker and deployed on Kubernetes. Build and maintain search and retrieval solutions using Azure AI Search and MongoDB. Work within our Azure cloud environment, integrating with Azure OpenAI, Azure services, and our broader data platform. Collaborate with product managers, data scientists, and engineers to scope and deliver AI features that address real insurance business problems. Own the full software lifecycle, including design, code review, testing, deployment, and monitoring in production. Translate complex business requirements into well scoped technical solutions with a strong focus on reliability, maintainability, and failure modes. Qualifications Desired Qualifications: 3+ years of software engineering experience, with strong fundamentals in system design, data structures, and clean code practices. Proficiency in Python, including building and shipping production backend services. Hands on experience building applications with LLMs such as Azure OpenAI, OpenAI, Anthropic, or similar. Experience with FastAPI or comparable Python web frameworks. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with cloud platforms, preferably Azure. Experience with LangGraph, LangChain, or other agentic/orchestration frameworks is preferred. Familiarity with Azure AI Search or other vector/hybrid search solutions is preferred. Experience with Databricks and PySpark for large-scale data processing is preferred. Background in traditional ML or data engineering, including feature pipelines, model training, and ETL, is preferred. MongoDB or other NoSQL database experience is preferred. Prior exposure to insurance domain concepts such as underwriting, claims, and policy administration is preferred. We offer in return! Competitive salary & pension scheme, discretionary bonus scheme, 25 days annual leave plus ability to purchase 5 additional days, hybrid working options, Private Medical cover, Employee Share Purchase Plan, Life Assurance, Subsidised gym membership, Comprehensive Learning & development offerings, Employee Assistance program. Diversity & Inclusion. At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances. We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long-term condition (for example dyslexia, anxiety, autism, a mobility condition or hearing loss) and need us to make any reasonable adjustments, changes or do anything differently during the recruitment process, please let us know. Job Info Job Identification 33215 Job Schedule Full time Regular or Temporary Regular Job Category Data Engineering Business Unit United Kingdom Legal Employer Chubb European Group SE UK Branch
Pythia Sports, a technology company in London, seeks a creative and analytical graduate or student for their trading team. The role focuses on statistical analysis and the development of predictive models for automated trading strategies. Successful candidates will need a good numerate degree, strong skills in Python, and an appreciation for sports. This hybrid position requires a minimum of two days in the office, with excellent perks including private health insurance and 36 days of holiday.
12/06/2026
Full time
Pythia Sports, a technology company in London, seeks a creative and analytical graduate or student for their trading team. The role focuses on statistical analysis and the development of predictive models for automated trading strategies. Successful candidates will need a good numerate degree, strong skills in Python, and an appreciation for sports. This hybrid position requires a minimum of two days in the office, with excellent perks including private health insurance and 36 days of holiday.
Join us as a Generative AI Research Scientist You'll drive innovation in how the bank applies generative AI (GenAI), identifying high-value opportunities, proving what works, and shaping next-generation products and customer experiences Act as the bank's technical authority on GenAI, guiding internal adoption while representing our capabilities externally across the wider AI community You'll have the opportunity to work at the cutting edge of generative AI, exploring emerging techniques and turning research into real world solutions that deliver impact at scale What you'll do As our Generative AI Research Scientist, you'll bring strong research rigour to everything you do, from problem framing and model selection to building defensible, evidence-based outcomes. You'll explore and evaluate emerging techniques, including new model families, retrieval augmented generation, agentic patterns and multimodal approaches, and run experiments to determine what works best for the business. You'll lead the strategy for customisation, deciding on what to fine-tune, which data to use, and how success is measured. You'll also translate complex business challenges into clear machine learning problems and identify which GenAI approaches are worth pursuing and why. You'll stay at the forefront of scientific advancements, applying the latest research to uncover new opportunities and drive innovation across the bank. You'll also be: Taking ownership of evaluation, designing robust benchmarks, test sets and statistical analyses to assess accuracy, safety, bias and model robustness Prototyping innovative GenAI solutions, working with product and business teams to test ideas and validate them using real users and data Defining quality and safety standards, setting the bar solutions must meet before scaling across the organisation Advising on model risk, interpretability, and regulatory considerations so proposed approaches are robust, transparent, and fit for purpose Publishing research and contributing to intellectual property, including papers, patents or recognised contributions to the applied GenAI community Collaborating with interdisciplinary team, including research and software engineers and cross functional partners, to develop solutions that support the productionisation of research outcomes The skills you'll need To thrive in this role, you'll bring a strong foundation in machine learning, statistics and experimental design, combined with hands on experience in fine tuning, prompt engineering and rigorous model evaluation. You'll have a deep understanding of GenAI architectures and their trade offs, along with the ability to design experiments, interpret results and defend conclusions using robust, evidence based approaches. You'll have strong judgement in identifying high impact opportunities, paired with the ability to assess which problems are tractable and which approaches will deliver meaningful outcomes. You'll also bring: An understanding of model risk, data governance and financial services regulation The ability to communicate complex ideas clearly, engaging both technical and non technical stakeholders, including risk and compliance teams Sound decision making in selecting appropriate methods and techniques, applying the right tools to solve problems effectively and efficiently A track record of taking GenAI concepts from idea to validated proposition, demonstrating the ability to translate research into practical, real world impact
12/06/2026
Full time
Join us as a Generative AI Research Scientist You'll drive innovation in how the bank applies generative AI (GenAI), identifying high-value opportunities, proving what works, and shaping next-generation products and customer experiences Act as the bank's technical authority on GenAI, guiding internal adoption while representing our capabilities externally across the wider AI community You'll have the opportunity to work at the cutting edge of generative AI, exploring emerging techniques and turning research into real world solutions that deliver impact at scale What you'll do As our Generative AI Research Scientist, you'll bring strong research rigour to everything you do, from problem framing and model selection to building defensible, evidence-based outcomes. You'll explore and evaluate emerging techniques, including new model families, retrieval augmented generation, agentic patterns and multimodal approaches, and run experiments to determine what works best for the business. You'll lead the strategy for customisation, deciding on what to fine-tune, which data to use, and how success is measured. You'll also translate complex business challenges into clear machine learning problems and identify which GenAI approaches are worth pursuing and why. You'll stay at the forefront of scientific advancements, applying the latest research to uncover new opportunities and drive innovation across the bank. You'll also be: Taking ownership of evaluation, designing robust benchmarks, test sets and statistical analyses to assess accuracy, safety, bias and model robustness Prototyping innovative GenAI solutions, working with product and business teams to test ideas and validate them using real users and data Defining quality and safety standards, setting the bar solutions must meet before scaling across the organisation Advising on model risk, interpretability, and regulatory considerations so proposed approaches are robust, transparent, and fit for purpose Publishing research and contributing to intellectual property, including papers, patents or recognised contributions to the applied GenAI community Collaborating with interdisciplinary team, including research and software engineers and cross functional partners, to develop solutions that support the productionisation of research outcomes The skills you'll need To thrive in this role, you'll bring a strong foundation in machine learning, statistics and experimental design, combined with hands on experience in fine tuning, prompt engineering and rigorous model evaluation. You'll have a deep understanding of GenAI architectures and their trade offs, along with the ability to design experiments, interpret results and defend conclusions using robust, evidence based approaches. You'll have strong judgement in identifying high impact opportunities, paired with the ability to assess which problems are tractable and which approaches will deliver meaningful outcomes. You'll also bring: An understanding of model risk, data governance and financial services regulation The ability to communicate complex ideas clearly, engaging both technical and non technical stakeholders, including risk and compliance teams Sound decision making in selecting appropriate methods and techniques, applying the right tools to solve problems effectively and efficiently A track record of taking GenAI concepts from idea to validated proposition, demonstrating the ability to translate research into practical, real world impact
Grow with Treefera We are a first-mile intelligence platform, delivering granular visibility into the point of origin in global ag & soft commodity supply chains - where risk, cost, performance and exposure are set. You'll join a global, cross-functional team that values rigour, curiosity and working close to real-world challenges. Whether your focus is AI, climate, product or operations, you'll have space to contribute meaningfully and make an impact from day one. If you're excited by complex problems and want to help reshape how nature is valued in real-world decision-making, we'd love to hear from you. Treefera is hiring a Frontend Product Engineer with full stack capability to strengthen delivery capacity in Environmental Intelligence at a point where the team needs greater resilience, broader end-to-end ownership, and faster iteration across product, platform and customer-facing outcomes. This role exists to turn ambiguous ideas into shipped software across UI, API and pipeline work, while helping the team improve how it builds, documents and scales what works. Your work will help Treefera ship impactful product improvements faster and turn promising ideas into usable outcomes. Responsibilities, but not limited to: Build and maintain software across user interfaces, APIs and supporting pipelines delivering usable product outcomes end to end. Turn emerging ideas into MVPs and proof-of-concepts quickly enabling faster customer feedback and iteration toward product-market fit. Own implementation and architectural decisions within your scope helping the team move with speed under ambiguity. Support work beyond release through maintenance, documentation and operational follow-through improving reliability and adoption. Contribute to how engineering works across the wider team through code review, tooling and practical improvements raising quality and effectiveness over time. Demo and enable work so that product progress translates into commercial and customer impact helping strong technical work land successfully. Who you are: Must-have requirements: You are a strong engineer in Typescript, React, and NestJS (or similar) with the judgement to move confidently across application, API and data-oriented work. You can operate effectively in ambiguity, making sensible default decisions and progressing work without waiting for perfect structure. You communicate your thinking clearly, document approaches well, and collaborate constructively through feedback and code review. You are comfortable in a fast-moving startup environment where priorities can shift quickly and delivery pace matters. You are confident to use AI development tools without blindly trusting and can clearly explain your choices, trade-offs and outputs. Desirable requirements: Experience in backend development (python/api/data) Experience in working with geospatial data What success looks like: A strong candidate is deeply fluent in TypeScript and React, capable of building polished, performant UIs while also holding their own across API and pipeline work when needed. They have an eye for product quality, move fast without leaving a mess behind, and are comfortable making frontend architectural decisions without waiting for direction. They communicate clearly, review code constructively, and have a track record of shipping things that customers actually use. Who you'll work with: You'll report to the Senior Fullstack Engineer and work closely day to day with members across the app and platform engineering teams. What you'll gain at Treefera Build something that matters - join a high-growth climate-tech company applying AI, satellite data and quantitative modelling to real-world challenges across global supply chains, commodities and carbon. Work on complex, meaningful problems - develop systems that balance risk, resilience, compliance and sustainability, giving organisations a genuine information advantage at global scale. Collaborate with exceptional people - work alongside scientists, engineers and operators who are leaders in their fields, combining academic rigour with practical, cross-functional product delivery. Ship and grow in a high-trust environment - experiment, iterate and take thoughtful risks in a team that values autonomy, creativity and continuous learning. Develop your craft - dedicated space and time to grow your skills toward mastery, tackling technically demanding challenges that push the boundaries of applied AI and environmental data. Be rewarded for your impact - competitive compensation, equity options, meaningful benefits, and the opportunity to help shape the future of AI-powered risk and environmental intelligence. Diversity, Equity & Inclusion Bold solutions come from diverse teams. Please refer to our DEI & EEO commitment below. If you need any accommodation during the application process, we're here to support you. Privacy notice By applying to Treefera, you consent to the processing of your personal data in line with our Privacy Notice. Treefera is an equal opportunity employer. We believe the diversity of our people is as vital as the diversity of the ecosystems we work to protect, and we are committed to building an inclusive workplace where everyone can thrive. We welcome applicants of all backgrounds irrespective of race, colour, ethnicity, national origin, religion, gender identity or expression, sexual orientation, age, disability, pregnancy, or any other characteristic protected by applicable law. Reasonable accommodations are available upon request.
12/06/2026
Full time
Grow with Treefera We are a first-mile intelligence platform, delivering granular visibility into the point of origin in global ag & soft commodity supply chains - where risk, cost, performance and exposure are set. You'll join a global, cross-functional team that values rigour, curiosity and working close to real-world challenges. Whether your focus is AI, climate, product or operations, you'll have space to contribute meaningfully and make an impact from day one. If you're excited by complex problems and want to help reshape how nature is valued in real-world decision-making, we'd love to hear from you. Treefera is hiring a Frontend Product Engineer with full stack capability to strengthen delivery capacity in Environmental Intelligence at a point where the team needs greater resilience, broader end-to-end ownership, and faster iteration across product, platform and customer-facing outcomes. This role exists to turn ambiguous ideas into shipped software across UI, API and pipeline work, while helping the team improve how it builds, documents and scales what works. Your work will help Treefera ship impactful product improvements faster and turn promising ideas into usable outcomes. Responsibilities, but not limited to: Build and maintain software across user interfaces, APIs and supporting pipelines delivering usable product outcomes end to end. Turn emerging ideas into MVPs and proof-of-concepts quickly enabling faster customer feedback and iteration toward product-market fit. Own implementation and architectural decisions within your scope helping the team move with speed under ambiguity. Support work beyond release through maintenance, documentation and operational follow-through improving reliability and adoption. Contribute to how engineering works across the wider team through code review, tooling and practical improvements raising quality and effectiveness over time. Demo and enable work so that product progress translates into commercial and customer impact helping strong technical work land successfully. Who you are: Must-have requirements: You are a strong engineer in Typescript, React, and NestJS (or similar) with the judgement to move confidently across application, API and data-oriented work. You can operate effectively in ambiguity, making sensible default decisions and progressing work without waiting for perfect structure. You communicate your thinking clearly, document approaches well, and collaborate constructively through feedback and code review. You are comfortable in a fast-moving startup environment where priorities can shift quickly and delivery pace matters. You are confident to use AI development tools without blindly trusting and can clearly explain your choices, trade-offs and outputs. Desirable requirements: Experience in backend development (python/api/data) Experience in working with geospatial data What success looks like: A strong candidate is deeply fluent in TypeScript and React, capable of building polished, performant UIs while also holding their own across API and pipeline work when needed. They have an eye for product quality, move fast without leaving a mess behind, and are comfortable making frontend architectural decisions without waiting for direction. They communicate clearly, review code constructively, and have a track record of shipping things that customers actually use. Who you'll work with: You'll report to the Senior Fullstack Engineer and work closely day to day with members across the app and platform engineering teams. What you'll gain at Treefera Build something that matters - join a high-growth climate-tech company applying AI, satellite data and quantitative modelling to real-world challenges across global supply chains, commodities and carbon. Work on complex, meaningful problems - develop systems that balance risk, resilience, compliance and sustainability, giving organisations a genuine information advantage at global scale. Collaborate with exceptional people - work alongside scientists, engineers and operators who are leaders in their fields, combining academic rigour with practical, cross-functional product delivery. Ship and grow in a high-trust environment - experiment, iterate and take thoughtful risks in a team that values autonomy, creativity and continuous learning. Develop your craft - dedicated space and time to grow your skills toward mastery, tackling technically demanding challenges that push the boundaries of applied AI and environmental data. Be rewarded for your impact - competitive compensation, equity options, meaningful benefits, and the opportunity to help shape the future of AI-powered risk and environmental intelligence. Diversity, Equity & Inclusion Bold solutions come from diverse teams. Please refer to our DEI & EEO commitment below. If you need any accommodation during the application process, we're here to support you. Privacy notice By applying to Treefera, you consent to the processing of your personal data in line with our Privacy Notice. Treefera is an equal opportunity employer. We believe the diversity of our people is as vital as the diversity of the ecosystems we work to protect, and we are committed to building an inclusive workplace where everyone can thrive. We welcome applicants of all backgrounds irrespective of race, colour, ethnicity, national origin, religion, gender identity or expression, sexual orientation, age, disability, pregnancy, or any other characteristic protected by applicable law. Reasonable accommodations are available upon request.
About the team In your role, you will lead the software development team responsible for the Pfam and InterPro databases. These are two of the worlds most widely used protein family and domain annotation resources, serving thousands of users globally. Reporting to the Head of the Protein Families Group at EMBL-EBI, this role sits at the intersection of cutting-edge bioinformatics and modern software engineering. The team currently comprises of several software developers and engineers. We are seeking to hire an InterPro/Pfam Software Project leader to lead a cultural and technical shift towards AI-first development, leveraging AI coding assistants and generative tools to accelerate delivery, improve code quality, and reduce technical debt across both platforms. The chosen candidate will ensure the successful migration of development workflows to AI-assisted practices; delivery of major platform milestones on time and to quality; growth of team capability; and ongoing reliability and performance of the Pfam and InterPro production systems. Duties and Responsibilities In this role you will: Lead the Pfam/InterPro software development team, managing workload, priorities, and professional development. Drive the transition to AI-first software development practices, embedding AI coding tools (e.g. Claude Code, GitHub Copilot) into production workflows. Own software architecture and design decisions across the Pfam and InterPro platforms, ensuring scalability, maintainability, and performance. Design and maintain relational and NoSQL database schemas supporting large-scale protein family and domain annotation data. Lead agile development cycles: sprint planning, code review, CI/CD pipeline management, and release coordination. Oversee containerised deployment infrastructure using Kubernetes and cloud-native services. Collaborate with bioinformaticians, data scientists, and external stakeholders to translate scientific requirements into robust software solutions. Champion software engineering best practices: documentation, testing, version control, and security. Evaluate and adopt emerging technologies, including AI/ML tools, to improve developer productivity and system capabilities. Contribute to grant applications, publications, and presentations relating to software infrastructure where appropriate. You have Degree in Computer Science, Software Engineering, or a related discipline, or equivalent professional experience. Substantial experience in software design and architecture, including design of large-scale, production-grade systems. Demonstrated experience using AI coding tools (e.g. Claude Code, Codex, GitHub Copilot, Cursor) in a production environment. Strong Python programming skills with experience building and maintaining production services. Proven expertise in database design, including relational (e.g. MySQL, PostgreSQL) and/or NoSQL systems. Experience leading or mentoring a software development team. Familiarity with modern DevOps practices: CI/CD, containerisation (Docker), and version control (Git). Excellent communication skills; ability to work effectively in a multidisciplinary, international environment. You may also have Experience with Kubernetes for container orchestration and cloud-native deployments. Java programming experience. Experience with web technologies (e.g. REST APIs, React, JavaScript/TypeScript). Background in bioinformatics or life sciences software development. Familiarity with Pfam, InterPro, or related protein family/domain resources. Track record of contributing to open-source projects. Apply now! Benefits and Contract Information Financial incentives: depending on circumstances, monthly family/marriage allowance of £278 monthly child allowance of £336 per child. Non resident allowance up to £569 per month. Annual salary review, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances Hybrid working arrangements Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover) Generous time off: 30 days annual leave per year, in addition to eight bank holidays Relocation package including installation grant (as applicable) Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely) Family benefits: On-site nursery, child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances Contract duration: This position is a 3 year contract renewable up to 9 years Salary: Monthly salary starting at£4,206after tax (but excl. pension & insurances) + benefits (Total package will be dependent on family circumstances) International applicants: We recruit internationally and successful candidates are offered visa exemptions. Read more on our page for international applicants. Diversity and inclusion: At EMBL-EBI, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ+ and individuals from all nationalities. Job location: This role is based in Hinxton, near Cambridge, UK. You will be required to relocate if you are based overseas and you will receive a generous relocation package to support you. How to apply: To apply please submit a cover letter and a CV through our online system before the closing date. To apply, please submit a covering letter and CV via our online system. Applications will close on 05/07/2026 JBRP1_UKTJ
12/06/2026
Full time
About the team In your role, you will lead the software development team responsible for the Pfam and InterPro databases. These are two of the worlds most widely used protein family and domain annotation resources, serving thousands of users globally. Reporting to the Head of the Protein Families Group at EMBL-EBI, this role sits at the intersection of cutting-edge bioinformatics and modern software engineering. The team currently comprises of several software developers and engineers. We are seeking to hire an InterPro/Pfam Software Project leader to lead a cultural and technical shift towards AI-first development, leveraging AI coding assistants and generative tools to accelerate delivery, improve code quality, and reduce technical debt across both platforms. The chosen candidate will ensure the successful migration of development workflows to AI-assisted practices; delivery of major platform milestones on time and to quality; growth of team capability; and ongoing reliability and performance of the Pfam and InterPro production systems. Duties and Responsibilities In this role you will: Lead the Pfam/InterPro software development team, managing workload, priorities, and professional development. Drive the transition to AI-first software development practices, embedding AI coding tools (e.g. Claude Code, GitHub Copilot) into production workflows. Own software architecture and design decisions across the Pfam and InterPro platforms, ensuring scalability, maintainability, and performance. Design and maintain relational and NoSQL database schemas supporting large-scale protein family and domain annotation data. Lead agile development cycles: sprint planning, code review, CI/CD pipeline management, and release coordination. Oversee containerised deployment infrastructure using Kubernetes and cloud-native services. Collaborate with bioinformaticians, data scientists, and external stakeholders to translate scientific requirements into robust software solutions. Champion software engineering best practices: documentation, testing, version control, and security. Evaluate and adopt emerging technologies, including AI/ML tools, to improve developer productivity and system capabilities. Contribute to grant applications, publications, and presentations relating to software infrastructure where appropriate. You have Degree in Computer Science, Software Engineering, or a related discipline, or equivalent professional experience. Substantial experience in software design and architecture, including design of large-scale, production-grade systems. Demonstrated experience using AI coding tools (e.g. Claude Code, Codex, GitHub Copilot, Cursor) in a production environment. Strong Python programming skills with experience building and maintaining production services. Proven expertise in database design, including relational (e.g. MySQL, PostgreSQL) and/or NoSQL systems. Experience leading or mentoring a software development team. Familiarity with modern DevOps practices: CI/CD, containerisation (Docker), and version control (Git). Excellent communication skills; ability to work effectively in a multidisciplinary, international environment. You may also have Experience with Kubernetes for container orchestration and cloud-native deployments. Java programming experience. Experience with web technologies (e.g. REST APIs, React, JavaScript/TypeScript). Background in bioinformatics or life sciences software development. Familiarity with Pfam, InterPro, or related protein family/domain resources. Track record of contributing to open-source projects. Apply now! Benefits and Contract Information Financial incentives: depending on circumstances, monthly family/marriage allowance of £278 monthly child allowance of £336 per child. Non resident allowance up to £569 per month. Annual salary review, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances Hybrid working arrangements Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover) Generous time off: 30 days annual leave per year, in addition to eight bank holidays Relocation package including installation grant (as applicable) Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely) Family benefits: On-site nursery, child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances Contract duration: This position is a 3 year contract renewable up to 9 years Salary: Monthly salary starting at£4,206after tax (but excl. pension & insurances) + benefits (Total package will be dependent on family circumstances) International applicants: We recruit internationally and successful candidates are offered visa exemptions. Read more on our page for international applicants. Diversity and inclusion: At EMBL-EBI, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ+ and individuals from all nationalities. Job location: This role is based in Hinxton, near Cambridge, UK. You will be required to relocate if you are based overseas and you will receive a generous relocation package to support you. How to apply: To apply please submit a cover letter and a CV through our online system before the closing date. To apply, please submit a covering letter and CV via our online system. Applications will close on 05/07/2026 JBRP1_UKTJ
Data Engineer - HealthTech - UK Remote (AWS / Databricks / Python / SQL) Job Title: Data Engineer Location: 1-2x/week on-site in Leeds Duration: Until March 2026 Day Rate: £500/day Inside IR35 NHS or Central Gov experience is ESSENTIAL Brio Digital are supporting a HealthTech consultancy who require a Data Engineer to support an ongoing transformation project across NHS data platforms. What You'll Do Design and maintain end-to-end data pipelines within the AWS ecosystem Build reliable data solutions using Databricks, Python, and SQL Integrate and optimise data from diverse sources, including MongoDB Develop and maintain ETL processes for analytical and operational use Implement data quality, governance, and testing frameworks Collaborate with data analysts, scientists, and delivery teams to ensure accessible, trusted data Contribute to the evolution of scalable, cloud-native data architectures What You'll Bring Strong hands-on experience with Python for ETL and data engineering Advanced SQL skills across data modelling, optimisation, and stored procedures Experience with AWS Data Services (e.g., Glue, Redshift, S3, Lambda, Databricks) Familiarity with MongoDB or other NoSQL databases Understanding of modern data architecture and data governance principles Experience with CI/CD, version control, and agile project delivery Strong problem-solving and stakeholder collaboration skills Nice-to-Have Exposure to NHS or healthcare data sources Knowledge of FHIR or other healthcare data standards Experience tuning Spark workloads in Databricks Familiarity with Docker, Kubernetes, or Terraform
12/06/2026
Full time
Data Engineer - HealthTech - UK Remote (AWS / Databricks / Python / SQL) Job Title: Data Engineer Location: 1-2x/week on-site in Leeds Duration: Until March 2026 Day Rate: £500/day Inside IR35 NHS or Central Gov experience is ESSENTIAL Brio Digital are supporting a HealthTech consultancy who require a Data Engineer to support an ongoing transformation project across NHS data platforms. What You'll Do Design and maintain end-to-end data pipelines within the AWS ecosystem Build reliable data solutions using Databricks, Python, and SQL Integrate and optimise data from diverse sources, including MongoDB Develop and maintain ETL processes for analytical and operational use Implement data quality, governance, and testing frameworks Collaborate with data analysts, scientists, and delivery teams to ensure accessible, trusted data Contribute to the evolution of scalable, cloud-native data architectures What You'll Bring Strong hands-on experience with Python for ETL and data engineering Advanced SQL skills across data modelling, optimisation, and stored procedures Experience with AWS Data Services (e.g., Glue, Redshift, S3, Lambda, Databricks) Familiarity with MongoDB or other NoSQL databases Understanding of modern data architecture and data governance principles Experience with CI/CD, version control, and agile project delivery Strong problem-solving and stakeholder collaboration skills Nice-to-Have Exposure to NHS or healthcare data sources Knowledge of FHIR or other healthcare data standards Experience tuning Spark workloads in Databricks Familiarity with Docker, Kubernetes, or Terraform
Job title: Data Engineer Client: Leading Global Organisation Salary: Up To £900 Per Day Location: London (Hybrid) Skills: Python, Data Pipelines, Dagster, Airflow, Snowflake, AWS, S3, IAM, APIs, Streaming & Batch Data The Role We're working with a leading global organisation to hire an experienced Data Engineer to help build and scale modern data platforms that power analytics, trading, and operational decision-making. This is a hands-on engineering role within a high-performing data and business engineering environment. You'll work closely with engineers, data scientists, and business stakeholders to design and deliver robust data solutions, develop production-grade pipelines, and support the ongoing evolution of the organisation's data platform. Responsibilities Design, build, and maintain scalable data pipelines and data platform components Develop Python-based data workflows using orchestration tools such as Dagster or Airflow Extract and integrate data from internal systems, external sources, and APIs Support the development and optimisation of cloud-based data platforms, including Snowflake Integrate batch and streaming data flows where required Requirements Strong hands-on experience in data engineering Solid programming skills in Python (Java is a plus) Experience building and operating production data pipelines Experience working with modern cloud data platforms or warehouses (e.g., Snowflake) Familiarity with AWS data infrastructure such as S3 and IAM If you're a hands-on Data Engineer who enjoys building scalable data platforms and delivering high-quality data solutions, we'd love to hear from you.
12/06/2026
Full time
Job title: Data Engineer Client: Leading Global Organisation Salary: Up To £900 Per Day Location: London (Hybrid) Skills: Python, Data Pipelines, Dagster, Airflow, Snowflake, AWS, S3, IAM, APIs, Streaming & Batch Data The Role We're working with a leading global organisation to hire an experienced Data Engineer to help build and scale modern data platforms that power analytics, trading, and operational decision-making. This is a hands-on engineering role within a high-performing data and business engineering environment. You'll work closely with engineers, data scientists, and business stakeholders to design and deliver robust data solutions, develop production-grade pipelines, and support the ongoing evolution of the organisation's data platform. Responsibilities Design, build, and maintain scalable data pipelines and data platform components Develop Python-based data workflows using orchestration tools such as Dagster or Airflow Extract and integrate data from internal systems, external sources, and APIs Support the development and optimisation of cloud-based data platforms, including Snowflake Integrate batch and streaming data flows where required Requirements Strong hands-on experience in data engineering Solid programming skills in Python (Java is a plus) Experience building and operating production data pipelines Experience working with modern cloud data platforms or warehouses (e.g., Snowflake) Familiarity with AWS data infrastructure such as S3 and IAM If you're a hands-on Data Engineer who enjoys building scalable data platforms and delivering high-quality data solutions, we'd love to hear from you.
About us The Sainsbury Wellcome Centre (SWC) brings together world-leading scientists to investigate how brain circuits process information to generate perception, form memories and guide behaviour. Developed through the vision and partnership of the Gatsby Charitable Foundation and Wellcome, and with substantial investment from these partners, the mission of the SWC is to generate experimentally testable theories of brain function. The Centre comprises 13 highly interdisciplinary experimental research groups accommodated in a new, purpose-designed building, offering an outstanding and unparalleled research environment. SWC scientists use a broad spectrum of the latest advances in molecular and cellular biology, imaging, electrophysiology and behavioural techniques and enjoy state-of-the-art research laboratories, cutting-edge scientific equipment, technologically-advanced prototyping and fabrication laboratories and custom in-house high-performance computing facilities. About the role We are inviting applications for a research software engineer to be based in the Neuroinformatics Unit, working with the laboratories of Tom Mrsic-Flogel, Sonja Hofer and Tim Behrens in collaboration with theAdvanced Microscopy Facility. Our research seeks to understand how the frontal regions of the brain build circuits for cognition (e.g. planning, reasoning, abstraction). The challenge is to identify the precise neural microcircuits that underpin cognitive computations. To achieve this, we image the activity of neurons in a variety of task using benchtop and miniaturise two-photon microscopes, and then perform targeted holographic stimulation of identified neurons to probe their connectivity. This requires a complex pipeline of imaging, signal processing and alignment of multi-modal data sources. You will be responsible for developing and optimising efficient algorithms to process functional brain imaging data including motion correction, segmentation and multimodal registration. These algorithms will then be integrated within existing software packages for data acquisition, analysis and visualisation. This post is funded until September 2028 in the first instance with the possibility of extension subject to grant funding. Informal enquiries regarding the role can be addressed to Adam Tyson (). A full job description and person specification for this role can be accessed below. To apply, please upload a current CV, complete the online application form, and use the supporting statement section or upload a cover letter to outline how you meet the essential and desirable criteria for the role. Please do not upload any additional attachments as these will not be considered by the selection panel. About you You will have strong programming skills in Python along with extensive experience working with numerical data such as images and timeseries. The ideal candidate will have experience in either image registration or working with multiphoton calcium imaging. You should have a strong interest in building easy to use software to help advance neuroscience and be comfortable working in teams of researchers and software engineers. The ideal candidate will have experience of good software engineering best practices and working on, and with open-source software. What we offer The post is based in London, suitable for hybrid working with a minimum of 40% of time onsite. As well as the exciting opportunities this role presents SWC offers staff an award winning work environment with state of the art facilities an on site brassiere and access to pleasant outdoor spaces. SWC staff receive the full range of UCL benefits. Our commitment to Equality, Diversity and Inclusio As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women. You can read more about our commitment to Equality, Diversity and Inclusion here.
12/06/2026
Full time
About us The Sainsbury Wellcome Centre (SWC) brings together world-leading scientists to investigate how brain circuits process information to generate perception, form memories and guide behaviour. Developed through the vision and partnership of the Gatsby Charitable Foundation and Wellcome, and with substantial investment from these partners, the mission of the SWC is to generate experimentally testable theories of brain function. The Centre comprises 13 highly interdisciplinary experimental research groups accommodated in a new, purpose-designed building, offering an outstanding and unparalleled research environment. SWC scientists use a broad spectrum of the latest advances in molecular and cellular biology, imaging, electrophysiology and behavioural techniques and enjoy state-of-the-art research laboratories, cutting-edge scientific equipment, technologically-advanced prototyping and fabrication laboratories and custom in-house high-performance computing facilities. About the role We are inviting applications for a research software engineer to be based in the Neuroinformatics Unit, working with the laboratories of Tom Mrsic-Flogel, Sonja Hofer and Tim Behrens in collaboration with theAdvanced Microscopy Facility. Our research seeks to understand how the frontal regions of the brain build circuits for cognition (e.g. planning, reasoning, abstraction). The challenge is to identify the precise neural microcircuits that underpin cognitive computations. To achieve this, we image the activity of neurons in a variety of task using benchtop and miniaturise two-photon microscopes, and then perform targeted holographic stimulation of identified neurons to probe their connectivity. This requires a complex pipeline of imaging, signal processing and alignment of multi-modal data sources. You will be responsible for developing and optimising efficient algorithms to process functional brain imaging data including motion correction, segmentation and multimodal registration. These algorithms will then be integrated within existing software packages for data acquisition, analysis and visualisation. This post is funded until September 2028 in the first instance with the possibility of extension subject to grant funding. Informal enquiries regarding the role can be addressed to Adam Tyson (). A full job description and person specification for this role can be accessed below. To apply, please upload a current CV, complete the online application form, and use the supporting statement section or upload a cover letter to outline how you meet the essential and desirable criteria for the role. Please do not upload any additional attachments as these will not be considered by the selection panel. About you You will have strong programming skills in Python along with extensive experience working with numerical data such as images and timeseries. The ideal candidate will have experience in either image registration or working with multiphoton calcium imaging. You should have a strong interest in building easy to use software to help advance neuroscience and be comfortable working in teams of researchers and software engineers. The ideal candidate will have experience of good software engineering best practices and working on, and with open-source software. What we offer The post is based in London, suitable for hybrid working with a minimum of 40% of time onsite. As well as the exciting opportunities this role presents SWC offers staff an award winning work environment with state of the art facilities an on site brassiere and access to pleasant outdoor spaces. SWC staff receive the full range of UCL benefits. Our commitment to Equality, Diversity and Inclusio As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women. You can read more about our commitment to Equality, Diversity and Inclusion here.
A leading global investment firm is seeking a Data Scientist/Machine Learning Scientist to design and implement advanced machine learning models. You will drive data-driven strategies, build robust analytical tools, and collaborate with various teams to provide actionable insights. An ideal candidate should have a Master's or Ph.D. in a quantitative field, proficiency in Python, and 2+ years of relevant experience. Competitive compensation and opportunities for professional growth are offered.
12/06/2026
Full time
A leading global investment firm is seeking a Data Scientist/Machine Learning Scientist to design and implement advanced machine learning models. You will drive data-driven strategies, build robust analytical tools, and collaborate with various teams to provide actionable insights. An ideal candidate should have a Master's or Ph.D. in a quantitative field, proficiency in Python, and 2+ years of relevant experience. Competitive compensation and opportunities for professional growth are offered.
Data Scientist (Palantir / FDP essential) - 560/day (Inside IR35) - RemoteYou will require Palantir (FDP) experience as well and UK Citizenship to apply I'm currently looking for an experienced Data Scientist with strong Data Engineering capability to join a high-profile public sector organisation working on a major digital screening programme. This is a genuinely impactful piece of work where you'll be shaping how data is used to drive decisions through modern dashboards and reporting products. What you'll be doing You'll be working as part of an Agile, multidisciplinary team, taking ownership of data exploration and engineering to support new digital services. On a day-to-day basis, you will: Lead exploratory data analysis to understand datasets and inform product decisions Define dashboard requirements and determine what good looks like from a reporting perspective Design and build data pipelines and datasets for dashboards Identify and mitigate data quality risks Develop reusable code in Python and PySpark for data prep and analysis Collaborate closely with Data Engineers, Analysts and UCD professionals Work within modern engineering practices including CI/CD, TDD and DevSecOps Pair programme and contribute to a strong engineering culture What I need from you (essential) To be considered, your CV must clearly show experience with the following: Palantir (FDP) Python PySpark Exploratory Data Analysis Data pipeline design / data engineering concepts Dashboard / reporting dataset development BI tools (Redshift, Databricks or similar) Agile delivery environments If these technologies aren't clearly visible on your CV, you're unlikely to be shortlisted - so please make sure they are easy to find before applying. Nice to have (not essential) Experience within a wider public sector data environment Exposure to screening or clinical datasets What this role IS A hands-on data role blending Data Science and Engineering A chance to influence real-world digital services A collaborative Agile environment working with strong technical teams A role where you'll own problems and drive solutions What this role ISN'T Not a purely academic Data Science position Not a reporting-only / BA-style role Not a role where you'll just "pick up tickets" with no ownership Not suitable if your experience is light on Python, PySpark or Palantir Key Details 560 per day (Inside IR35) Start ASAP Running until November 2026 (extensions very likely) Remote with occasional travel to London Must be a UK National with 5+ years continuous UK residency Next Steps If this aligns with your experience, send me your CV and make sure it clearly highlights the key skills in bold above - that will help fast-track your application. If it looks like a strong match, I'll be in touch quickly to discuss next steps. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
12/06/2026
Contractor
Data Scientist (Palantir / FDP essential) - 560/day (Inside IR35) - RemoteYou will require Palantir (FDP) experience as well and UK Citizenship to apply I'm currently looking for an experienced Data Scientist with strong Data Engineering capability to join a high-profile public sector organisation working on a major digital screening programme. This is a genuinely impactful piece of work where you'll be shaping how data is used to drive decisions through modern dashboards and reporting products. What you'll be doing You'll be working as part of an Agile, multidisciplinary team, taking ownership of data exploration and engineering to support new digital services. On a day-to-day basis, you will: Lead exploratory data analysis to understand datasets and inform product decisions Define dashboard requirements and determine what good looks like from a reporting perspective Design and build data pipelines and datasets for dashboards Identify and mitigate data quality risks Develop reusable code in Python and PySpark for data prep and analysis Collaborate closely with Data Engineers, Analysts and UCD professionals Work within modern engineering practices including CI/CD, TDD and DevSecOps Pair programme and contribute to a strong engineering culture What I need from you (essential) To be considered, your CV must clearly show experience with the following: Palantir (FDP) Python PySpark Exploratory Data Analysis Data pipeline design / data engineering concepts Dashboard / reporting dataset development BI tools (Redshift, Databricks or similar) Agile delivery environments If these technologies aren't clearly visible on your CV, you're unlikely to be shortlisted - so please make sure they are easy to find before applying. Nice to have (not essential) Experience within a wider public sector data environment Exposure to screening or clinical datasets What this role IS A hands-on data role blending Data Science and Engineering A chance to influence real-world digital services A collaborative Agile environment working with strong technical teams A role where you'll own problems and drive solutions What this role ISN'T Not a purely academic Data Science position Not a reporting-only / BA-style role Not a role where you'll just "pick up tickets" with no ownership Not suitable if your experience is light on Python, PySpark or Palantir Key Details 560 per day (Inside IR35) Start ASAP Running until November 2026 (extensions very likely) Remote with occasional travel to London Must be a UK National with 5+ years continuous UK residency Next Steps If this aligns with your experience, send me your CV and make sure it clearly highlights the key skills in bold above - that will help fast-track your application. If it looks like a strong match, I'll be in touch quickly to discuss next steps. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
We re currently partnering with an innovative and fast-growing AI start-up based in London that is looking to hire a Graduate AI Engineer to join their expanding technical team. This is an exciting opportunity for a recent graduate or junior engineer to join a fast growing AI start up, working on cutting edge AI products with real commercial impact. You ll work closely with experienced engineers, founders, and product teams in a collaborative environment where your ideas and contributions will genuinely make a difference. The Role As a Graduate AI Engineer, you ll support the development and deployment of AI and machine learning solutions across a range of innovative projects. The successful candidate will be passionate about emerging technologies, eager to learn, and excited by the opportunity to grow within a scaling start up environment. Key responsibilities include: Supporting the development and optimisation of AI and machine learning models Working with large datasets for analysis, preprocessing, and model training Assisting with the deployment and monitoring of AI applications Collaborating with software engineers, product teams, and data specialists Contributing to backend development and API integrations Researching and testing new AI frameworks and technologies Ensuring AI systems are developed responsibly, ethically, and with a strong focus on transparency and fairness Writing clean, maintainable, and scalable code Requirements Degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Engineering, or a related field Strong understanding of machine learning concepts and AI fundamentals Understanding of software engineering best practices Strong understanding of AI ethics, responsible AI development, and principled approaches to building trustworthy AI systems Awareness of topics such as bias mitigation, model transparency, privacy, and fairness in AI applications Strong analytical and problem-solving skills Excellent communication and teamwork abilities Genuine passion for AI and emerging technologies Desirable Skills Exposure to Generative AI, LLMs, NLP, or computer vision projects Knowledge of AWS, Azure, or GCP Familiarity with Docker, APIs, or Git workflowsFamiliarity with frameworks such as PyTorch, TensorFlow, or Scikit-learn Internship, university project, or personal portfolio related to AI/ML What s on Offer Competitive graduate salary package Company stock options / equity scheme Hybrid and flexible working environment Direct mentorship from experienced AI engineers and founders Structured learning and rapid career progression opportunities The chance to work on cutting-edge AI technologies in a fast-moving start-up Collaborative, ambitious, and highly innovative culture Private healthcare and additional employee benefits Regular team socials and company events If you re looking to launch your career in AI engineering and want to be part of a rapidly growing start up environment, we d love to hear from you. Apply now with your CV for immediate consideration.
11/06/2026
Full time
We re currently partnering with an innovative and fast-growing AI start-up based in London that is looking to hire a Graduate AI Engineer to join their expanding technical team. This is an exciting opportunity for a recent graduate or junior engineer to join a fast growing AI start up, working on cutting edge AI products with real commercial impact. You ll work closely with experienced engineers, founders, and product teams in a collaborative environment where your ideas and contributions will genuinely make a difference. The Role As a Graduate AI Engineer, you ll support the development and deployment of AI and machine learning solutions across a range of innovative projects. The successful candidate will be passionate about emerging technologies, eager to learn, and excited by the opportunity to grow within a scaling start up environment. Key responsibilities include: Supporting the development and optimisation of AI and machine learning models Working with large datasets for analysis, preprocessing, and model training Assisting with the deployment and monitoring of AI applications Collaborating with software engineers, product teams, and data specialists Contributing to backend development and API integrations Researching and testing new AI frameworks and technologies Ensuring AI systems are developed responsibly, ethically, and with a strong focus on transparency and fairness Writing clean, maintainable, and scalable code Requirements Degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Engineering, or a related field Strong understanding of machine learning concepts and AI fundamentals Understanding of software engineering best practices Strong understanding of AI ethics, responsible AI development, and principled approaches to building trustworthy AI systems Awareness of topics such as bias mitigation, model transparency, privacy, and fairness in AI applications Strong analytical and problem-solving skills Excellent communication and teamwork abilities Genuine passion for AI and emerging technologies Desirable Skills Exposure to Generative AI, LLMs, NLP, or computer vision projects Knowledge of AWS, Azure, or GCP Familiarity with Docker, APIs, or Git workflowsFamiliarity with frameworks such as PyTorch, TensorFlow, or Scikit-learn Internship, university project, or personal portfolio related to AI/ML What s on Offer Competitive graduate salary package Company stock options / equity scheme Hybrid and flexible working environment Direct mentorship from experienced AI engineers and founders Structured learning and rapid career progression opportunities The chance to work on cutting-edge AI technologies in a fast-moving start-up Collaborative, ambitious, and highly innovative culture Private healthcare and additional employee benefits Regular team socials and company events If you re looking to launch your career in AI engineering and want to be part of a rapidly growing start up environment, we d love to hear from you. Apply now with your CV for immediate consideration.
