United States Digital Space LLC is hiring a Data Engineer for the Safeguards team in Greater London. The role focuses on building data foundations to ensure AI systems are safe and beneficial. Responsibilities include designing data pipelines and collaborating with engineers and data scientists to monitor model effectiveness. The ideal candidate has 3+ years of experience in data engineering, proficient in SQL and Python, and is results-oriented. The position offers a competitive salary range of £170,000 to £220,000 annually.
16/06/2026
Full time
United States Digital Space LLC is hiring a Data Engineer for the Safeguards team in Greater London. The role focuses on building data foundations to ensure AI systems are safe and beneficial. Responsibilities include designing data pipelines and collaborating with engineers and data scientists to monitor model effectiveness. The ideal candidate has 3+ years of experience in data engineering, proficient in SQL and Python, and is results-oriented. The position offers a competitive salary range of £170,000 to £220,000 annually.
This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. Client Details Leading international Manufacturing & Retail Company Description This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. This is a cross-functional business role designed to support data-driven decision making across the entire organisation - including Finance, Merchandising, Creative, Licensing, Sales, Supply Chain, eCommerce, and Operations. The role will additionally support marketplace, eCommerce, and consumer insight initiatives to help drive commercial decision-making across retail and digital channels. The successful candidate will be responsible for transforming complex business data into actionable insights, building reporting frameworks, identifying trends and opportunities, and supporting leadership teams with strategic analysis and forecasting. The role will also play a key part in driving the company's adoption of AI technologies, automation, and modern analytics tools. Key Responsibilities: Analyse large and complex datasets across multiple platforms to identify trends, risks, opportunities, and operational improvements Develop and maintain dashboards, KPIs, and reporting suites using Power BI Support the Finance team with forecasting, budgeting, margin analysis, profitability reporting, and commercial insights Partner with Merchandising, Sales, Licensing, Creative, Supply Chain and Operations teams to provide analytical support and performance reporting Build predictive models and analytical tools to support strategic decision-making and business planning Drive the adoption of AI and automation solutions across the business to improve efficiency and insight generation Work with ERP and operational systems, including D365 Business Central, to extract, validate, and analyse data Improve data quality, governance, consistency, and reporting accuracy across departments to ensure one version of the truth Develop and maintain data pipelines and automated reporting processes where appropriate Present findings and recommendations clearly to senior leadership and operational stakeholders Support ongoing digital transformation initiatives across the business Ensure analytical work follows best practices around governance, security, and ethical AI usage Monitor and analyse eCommerce and marketplace KPIs including conversion rate, click-through rate (CTR), ACOS, TACOS, Buy Box performance, average selling price (ASP), keyword rankings, and inventory health metrics. Support eCommerce and marketplace advertising analysis, including Amazon Sponsored Ads performance, ROAS optimisation, campaign analysis, and budget efficiency reporting. Support data-driven optimisation of eCommerce product listings, keywords, digital content, and marketplace visibility to improve discoverability, conversion, and sales performance. Conduct competitor, pricing, and market analysis to identify trends, opportunities, and risks across eCommerce and retail channels. Apply predictive analytics and trend analysis to support demand forecasting, inventory planning, and commercial decision-making. Support testing and experimentation across pricing, advertising, promotions, and digital content strategies, using analytical insight to measure performance and recommend improvements. Work closely with merchandising, eCommerce, licensing, and marketing teams to provide commercially focused analytics and actionable insight. Profile Essential: Previous experience within a Data Scientist, Data Analyst, Business Intelligence, or Analytics role Strong analytical and problem-solving skills with commercial awareness Advanced Power BI capability, including dashboard creation, DAX, data modelling, and visualisation. Strong experience using SQL for querying and manipulating datasets Experience using AI tools, large language models (LLMs), and automation technologies to support analytics, reporting, and business insight generation. Experience working with ERP systems, preferably Microsoft Dynamics 365 Business Central (BC) and/or Syspro Understanding of AI, machine learning, automation tools, and modern analytics techniques Ability to interpret complex datasets and communicate findings clearly to non-technical stakeholders Excellent communication and stakeholder management skills Highly organised with the ability to manage multiple priorities in a fast-paced environment Experience working with eCommerce and marketplace analytics, preferably Amazon Seller Central and Amazon Advertising platforms. Understanding of eCommerce performance metrics including ROAS, ACOS, TACOS, conversion rate optimisation, keyword ranking, and digital traffic analysis. Experience translating commercial and marketplace data into actionable business insight. Desirable: Experience within a consumer products, retail, licensing, apparel, manufacturing, or distribution environment Experience with forecasting, demand planning, or supply chain analytics Experience developing AI-enabled business solutions or workflow automation Understanding of financial reporting and commercial finance concepts Degree qualified in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related quantitative discipline Experience with Amazon marketplace optimisation tools such as Helium 10. Experience using social listening and consumer insight platforms such as Meltwater. Experience within licensed apparel, consumer products, retail, eCommerce, or marketplace-driven businesses. Job Offer
16/06/2026
Full time
This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. Client Details Leading international Manufacturing & Retail Company Description This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. This is a cross-functional business role designed to support data-driven decision making across the entire organisation - including Finance, Merchandising, Creative, Licensing, Sales, Supply Chain, eCommerce, and Operations. The role will additionally support marketplace, eCommerce, and consumer insight initiatives to help drive commercial decision-making across retail and digital channels. The successful candidate will be responsible for transforming complex business data into actionable insights, building reporting frameworks, identifying trends and opportunities, and supporting leadership teams with strategic analysis and forecasting. The role will also play a key part in driving the company's adoption of AI technologies, automation, and modern analytics tools. Key Responsibilities: Analyse large and complex datasets across multiple platforms to identify trends, risks, opportunities, and operational improvements Develop and maintain dashboards, KPIs, and reporting suites using Power BI Support the Finance team with forecasting, budgeting, margin analysis, profitability reporting, and commercial insights Partner with Merchandising, Sales, Licensing, Creative, Supply Chain and Operations teams to provide analytical support and performance reporting Build predictive models and analytical tools to support strategic decision-making and business planning Drive the adoption of AI and automation solutions across the business to improve efficiency and insight generation Work with ERP and operational systems, including D365 Business Central, to extract, validate, and analyse data Improve data quality, governance, consistency, and reporting accuracy across departments to ensure one version of the truth Develop and maintain data pipelines and automated reporting processes where appropriate Present findings and recommendations clearly to senior leadership and operational stakeholders Support ongoing digital transformation initiatives across the business Ensure analytical work follows best practices around governance, security, and ethical AI usage Monitor and analyse eCommerce and marketplace KPIs including conversion rate, click-through rate (CTR), ACOS, TACOS, Buy Box performance, average selling price (ASP), keyword rankings, and inventory health metrics. Support eCommerce and marketplace advertising analysis, including Amazon Sponsored Ads performance, ROAS optimisation, campaign analysis, and budget efficiency reporting. Support data-driven optimisation of eCommerce product listings, keywords, digital content, and marketplace visibility to improve discoverability, conversion, and sales performance. Conduct competitor, pricing, and market analysis to identify trends, opportunities, and risks across eCommerce and retail channels. Apply predictive analytics and trend analysis to support demand forecasting, inventory planning, and commercial decision-making. Support testing and experimentation across pricing, advertising, promotions, and digital content strategies, using analytical insight to measure performance and recommend improvements. Work closely with merchandising, eCommerce, licensing, and marketing teams to provide commercially focused analytics and actionable insight. Profile Essential: Previous experience within a Data Scientist, Data Analyst, Business Intelligence, or Analytics role Strong analytical and problem-solving skills with commercial awareness Advanced Power BI capability, including dashboard creation, DAX, data modelling, and visualisation. Strong experience using SQL for querying and manipulating datasets Experience using AI tools, large language models (LLMs), and automation technologies to support analytics, reporting, and business insight generation. Experience working with ERP systems, preferably Microsoft Dynamics 365 Business Central (BC) and/or Syspro Understanding of AI, machine learning, automation tools, and modern analytics techniques Ability to interpret complex datasets and communicate findings clearly to non-technical stakeholders Excellent communication and stakeholder management skills Highly organised with the ability to manage multiple priorities in a fast-paced environment Experience working with eCommerce and marketplace analytics, preferably Amazon Seller Central and Amazon Advertising platforms. Understanding of eCommerce performance metrics including ROAS, ACOS, TACOS, conversion rate optimisation, keyword ranking, and digital traffic analysis. Experience translating commercial and marketplace data into actionable business insight. Desirable: Experience within a consumer products, retail, licensing, apparel, manufacturing, or distribution environment Experience with forecasting, demand planning, or supply chain analytics Experience developing AI-enabled business solutions or workflow automation Understanding of financial reporting and commercial finance concepts Degree qualified in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related quantitative discipline Experience with Amazon marketplace optimisation tools such as Helium 10. Experience using social listening and consumer insight platforms such as Meltwater. Experience within licensed apparel, consumer products, retail, eCommerce, or marketplace-driven businesses. Job Offer
We are looking for an AI Engineer / Data Scientist to work with one of our clients in the defence sector. You will collaborate with the Technical Lead, Engineers and Architects to design, build and deliver secure digital solutions in highly secure environments. We are looking for someone who has strong hands-on AI engineering experience building LLMs, SLMs and working on ML. You will need experience with graph databases, RAG and Microsoft Graph Retrieval. You will need experience working with geospatial data and large datasets, ideally over 100,000 objects with complex meta data and characteristics. Due to the nature of the work, candidates must be sole British nationals and be prepared to go through SC clearance and be on site 2 days a week.
16/06/2026
Contractor
We are looking for an AI Engineer / Data Scientist to work with one of our clients in the defence sector. You will collaborate with the Technical Lead, Engineers and Architects to design, build and deliver secure digital solutions in highly secure environments. We are looking for someone who has strong hands-on AI engineering experience building LLMs, SLMs and working on ML. You will need experience with graph databases, RAG and Microsoft Graph Retrieval. You will need experience working with geospatial data and large datasets, ideally over 100,000 objects with complex meta data and characteristics. Due to the nature of the work, candidates must be sole British nationals and be prepared to go through SC clearance and be on site 2 days a week.
TransUnion's Job Applicant Privacy Notice What We'll Bring: We Are TransUnion: TransUnion is a major credit reference agency, and we offer specialist services in fraud, identity and risk management, automated decisioning and demographics. We support organisations across a variety of sectors including finance, retail, telecommunications, utilities, gaming, government and insurance. What You'll Bring: We're looking for a Analytical Consultant to join our growing team. Day to Day You'll Be: You will participate in projects with data scientists & solutions consultants on analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging a variety of techniques (e.g., segmentation, logistic regression, etc). You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers. You will design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, and Spark. You will foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand. Essential Skills & Experience: Bachelor's degree in mathematics, statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative or scientific field, a consistent track record of academic excellence. Professional experience performing analytic work in industries served by TransUnion, such as financial services, insurance, and telecommunication. Experience and demonstrated success in client-facing roles. Strong analytical, critical thinking, and creative problem-solving skills. Advanced programming skills; proficiency with a statistical language such as R or Python; high level of familiarity with Microsoft Office tools. Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment. Impact You'll Make: What's In It For you? At TransUnion you will be joining a friendly, forward thinking global business. As well as an excellent salary and bonus scheme or commission scheme (if joining our sales teams) our benefits package comes with: 26 days' annual leave + bank holidays (increasing with service) Global paid wellness days off + a bonus day off to celebrate your birthday A generous contributory pension scheme + access to the TransUnion Employee Stock Purchase Plan Private health care + a variety of physical, mental and financial fitness wellbeing programmes such as access to mindfulness tools Access to our diversity forums and communities so you can get involved in causes close to your heart TransUnion - a place to grow: If there's something on the list of essential / desirable skills that you can't quite tick off, don't let that put you off applying. We are open to exploring training and development opportunities for the right candidate to ensure you are successful. We know imposter syndrome is real, lets confront it so we can continue to grow and thrive together Flexibility at TU: We recognise that our people need the freedom to balance their day-to-day lives with their work. This is why we've set out to create inclusive and flexible policies and practices for you to accommodate all your responsibilities and needs: children, family and beyond. If the role is advertised as full time, don't let this stop you from applying. Let us know if you're looking for a part time or flexible working arrangement and we can discuss this with you. Additional support: At TransUnion, we're committed to fostering an inclusive and diverse workplace where all individual's talents and perspectives are valued. When you apply for a position with us, you're not just joining a team, you're becoming part of a community that celebrates differences and embraces equality. We understand that everyone has different needs, which is why we offer a range of reasonable adjustments to our recruitment process. Please let us know if you require any reasonable adjustments to help you through the application process or to attend an interview with us by contacting (url removed) Interview & Hiring Process: Most of our recruitment processes are virtual, so you'll get to know our hiring managers and teams over the phone and through video. If we need you to attend a physical in person interview your recruiter will inform you of this. We do not accept any unsolicited CV's from recruitment agencies. If you are a recruitment agency on our PSL our talent team will contact you directly should we require any assistance. Find out more about Life At TU UK: (url removed) is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Consultant, Analytics Consulting
16/06/2026
Full time
TransUnion's Job Applicant Privacy Notice What We'll Bring: We Are TransUnion: TransUnion is a major credit reference agency, and we offer specialist services in fraud, identity and risk management, automated decisioning and demographics. We support organisations across a variety of sectors including finance, retail, telecommunications, utilities, gaming, government and insurance. What You'll Bring: We're looking for a Analytical Consultant to join our growing team. Day to Day You'll Be: You will participate in projects with data scientists & solutions consultants on analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging a variety of techniques (e.g., segmentation, logistic regression, etc). You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers. You will design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, and Spark. You will foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand. Essential Skills & Experience: Bachelor's degree in mathematics, statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative or scientific field, a consistent track record of academic excellence. Professional experience performing analytic work in industries served by TransUnion, such as financial services, insurance, and telecommunication. Experience and demonstrated success in client-facing roles. Strong analytical, critical thinking, and creative problem-solving skills. Advanced programming skills; proficiency with a statistical language such as R or Python; high level of familiarity with Microsoft Office tools. Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment. Impact You'll Make: What's In It For you? At TransUnion you will be joining a friendly, forward thinking global business. As well as an excellent salary and bonus scheme or commission scheme (if joining our sales teams) our benefits package comes with: 26 days' annual leave + bank holidays (increasing with service) Global paid wellness days off + a bonus day off to celebrate your birthday A generous contributory pension scheme + access to the TransUnion Employee Stock Purchase Plan Private health care + a variety of physical, mental and financial fitness wellbeing programmes such as access to mindfulness tools Access to our diversity forums and communities so you can get involved in causes close to your heart TransUnion - a place to grow: If there's something on the list of essential / desirable skills that you can't quite tick off, don't let that put you off applying. We are open to exploring training and development opportunities for the right candidate to ensure you are successful. We know imposter syndrome is real, lets confront it so we can continue to grow and thrive together Flexibility at TU: We recognise that our people need the freedom to balance their day-to-day lives with their work. This is why we've set out to create inclusive and flexible policies and practices for you to accommodate all your responsibilities and needs: children, family and beyond. If the role is advertised as full time, don't let this stop you from applying. Let us know if you're looking for a part time or flexible working arrangement and we can discuss this with you. Additional support: At TransUnion, we're committed to fostering an inclusive and diverse workplace where all individual's talents and perspectives are valued. When you apply for a position with us, you're not just joining a team, you're becoming part of a community that celebrates differences and embraces equality. We understand that everyone has different needs, which is why we offer a range of reasonable adjustments to our recruitment process. Please let us know if you require any reasonable adjustments to help you through the application process or to attend an interview with us by contacting (url removed) Interview & Hiring Process: Most of our recruitment processes are virtual, so you'll get to know our hiring managers and teams over the phone and through video. If we need you to attend a physical in person interview your recruiter will inform you of this. We do not accept any unsolicited CV's from recruitment agencies. If you are a recruitment agency on our PSL our talent team will contact you directly should we require any assistance. Find out more about Life At TU UK: (url removed) is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Consultant, Analytics Consulting
MLOps Engineer / Machine Learning Engineer Location: Portsmouth (2 days every other week on-site, remainder remote) Rate: Up to 537 per day (Umbrella only) Clearance: MOD SC Clearance required (enhanced vetting applies) Your new company You will be joining a leading global consultancy delivering critical digital transformation programmes within the public sector. This role sits within a highly secure environment, supporting the development of advanced machine learning and MLOps capabilities across multiple use cases. Your new role As an MLOps Engineer, you will be responsible for developing and enhancing MLOps capabilities, enabling the deployment, scaling, and monitoring of machine learning solutions to secure and complex environments. You will work across engineering, DevOps, and data science teams to deliver robust, automated, and production-ready ML pipelines. What you'll be doing Develop and improve MLOps frameworks across multiple machine learning use cases Build and maintain CI/CD pipelines using GitLab (YAML-based) Deploy and manage containerised applications using Docker and Kubernetes Implement DevSecOps practices, including security scanning and automated workflows Develop scripts in Python, Bash, and Linux environments to support automation Work within air-gapped environments, ensuring secure deployment of ML solutions Collaborate with data scientists to operationalise ML models Utilise tools such as MLflow and Airflow for model tracking and orchestration Support cloud-based deployments across AWS and Google Cloud Platform Ensure performance, reliability, and scalability of machine learning systems What you'll need to succeed Strong experience in MLOps or ML Engineering roles Proven experience with Docker and Kubernetes (containerisation) Hands-on experience with AWS and/or GCP cloud environments Solid scripting skills in Python and Bash/Linux Experience building CI/CD pipelines using GitLab (YAML) Understanding of DevSecOps principles and tooling Exposure to ML lifecycle tools such as MLflow and Airflow Ability to work in highly secure or air-gapped environments Strong problem-solving and collaboration skills What you'll get in return Opportunity to work on cutting-edge ML and AI initiatives Exposure to secure government programmes and advanced environments Competitive day rate up to 537 per day Hybrid working model with flexibility Long-term potential within a major consultancy client Important information SC Clearance is required (additional MOD vetting will apply and may extend onboarding timelines) This role is PAYE via Umbrella only (inside IR35) What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV.If this role isn't quite right for you, but you're exploring the market, please get in touch for a confidential discussion. 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)
16/06/2026
Contractor
MLOps Engineer / Machine Learning Engineer Location: Portsmouth (2 days every other week on-site, remainder remote) Rate: Up to 537 per day (Umbrella only) Clearance: MOD SC Clearance required (enhanced vetting applies) Your new company You will be joining a leading global consultancy delivering critical digital transformation programmes within the public sector. This role sits within a highly secure environment, supporting the development of advanced machine learning and MLOps capabilities across multiple use cases. Your new role As an MLOps Engineer, you will be responsible for developing and enhancing MLOps capabilities, enabling the deployment, scaling, and monitoring of machine learning solutions to secure and complex environments. You will work across engineering, DevOps, and data science teams to deliver robust, automated, and production-ready ML pipelines. What you'll be doing Develop and improve MLOps frameworks across multiple machine learning use cases Build and maintain CI/CD pipelines using GitLab (YAML-based) Deploy and manage containerised applications using Docker and Kubernetes Implement DevSecOps practices, including security scanning and automated workflows Develop scripts in Python, Bash, and Linux environments to support automation Work within air-gapped environments, ensuring secure deployment of ML solutions Collaborate with data scientists to operationalise ML models Utilise tools such as MLflow and Airflow for model tracking and orchestration Support cloud-based deployments across AWS and Google Cloud Platform Ensure performance, reliability, and scalability of machine learning systems What you'll need to succeed Strong experience in MLOps or ML Engineering roles Proven experience with Docker and Kubernetes (containerisation) Hands-on experience with AWS and/or GCP cloud environments Solid scripting skills in Python and Bash/Linux Experience building CI/CD pipelines using GitLab (YAML) Understanding of DevSecOps principles and tooling Exposure to ML lifecycle tools such as MLflow and Airflow Ability to work in highly secure or air-gapped environments Strong problem-solving and collaboration skills What you'll get in return Opportunity to work on cutting-edge ML and AI initiatives Exposure to secure government programmes and advanced environments Competitive day rate up to 537 per day Hybrid working model with flexibility Long-term potential within a major consultancy client Important information SC Clearance is required (additional MOD vetting will apply and may extend onboarding timelines) This role is PAYE via Umbrella only (inside IR35) What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV.If this role isn't quite right for you, but you're exploring the market, please get in touch for a confidential discussion. 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)
RF Systems Engineer Porton Down - Permanent Perm - On-site £40000 - £60000 25 days annual leave inclusive of up to 3 days Christmas shutdown Buy or sell up to 5 days annual leave Annual Wellbeing allowance 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 Career development support Come and join our expanding Electronic Warfare Operations Support Group (EWOS) which is made up of 60+ electronic warfare specialists. From all manner of backgrounds, our engineers, scientists, and ex-military personnel combine their experience to help our customers achieve the true operational potential and help keep their people and platforms safe. We are continuing to grow our team at Porton Down, Salisbury, working on key state-of-the-art research, development, and delivery projects, led by our technical customer, Dstl. The primary role is to support testing and optimisation of RF receiver hardware in a new synthetic range (laboratory), with additional support to over-the-air testing (anechoic chamber) and field trials. This will require using a range of RF test equipment to perform digital and analogue injection testing within synthetic EW scenarios. This role will allow autonomy to explore ways to optimise RF receiver performance through configurable memory (mission data) to improve real-world operation of the system when deployed to target platforms. This exploratory process will focus on the increasingly congested and contested electromagnetic environment, developing tactics, techniques, and procedures (TTP) for the RF receiver. To accurately represent the synthetic use cases these systems are required to integrate into, the role will liaise with military, academia, industry and international stakeholders, to complete the validation process. This new lab will be using the latest commercial-off-the-shelf (COTS) development Radio Frequency System on Chip (RFSoC) boards to achieve a high-fidelity electromagnetic environment. You will become and expert in configuring and calibrating these devices to aid testing of the RF receiver systems. This role also has influence over future development work, driving requirements through analysis of current EW systems. As such and understanding of requirements generation and the engineering lifecycle will be valuable to the role. Working autonomously with unprecedented access to the customer, you will be crucial to ensure the success of these key projects, all whilst being supported by our on-site and home-site MASS teams. The invaluable experience you ll bring, to help us achieve more. Essential: Ability to work autonomously to optimise complex EW system performance. Understanding of RF sensor systems and Test & Evaluation (T&E) practices. Proficient with RF test equipment (signal generators, oscilloscopes, and spectrum analysers). Experience calibrating hardware and software models into a laboratory environment. STEM Degree or extensive experience with RF Electronics. Desirable: Experience creating scripts/programmes (MATLAB, Python, or similar). Strong background in EW systems and concepts, including radar systems. Experience across the engineering lifecycle (Requirements, V&V, Acceptance). Understanding of Analogue & Digital Signal Processing techniques. 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 Our non-negotiables: Due to the highly secure nature of the projects that 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 Apply today to see how working for MASS could work for you!
16/06/2026
Full time
RF Systems Engineer Porton Down - Permanent Perm - On-site £40000 - £60000 25 days annual leave inclusive of up to 3 days Christmas shutdown Buy or sell up to 5 days annual leave Annual Wellbeing allowance 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 Career development support Come and join our expanding Electronic Warfare Operations Support Group (EWOS) which is made up of 60+ electronic warfare specialists. From all manner of backgrounds, our engineers, scientists, and ex-military personnel combine their experience to help our customers achieve the true operational potential and help keep their people and platforms safe. We are continuing to grow our team at Porton Down, Salisbury, working on key state-of-the-art research, development, and delivery projects, led by our technical customer, Dstl. The primary role is to support testing and optimisation of RF receiver hardware in a new synthetic range (laboratory), with additional support to over-the-air testing (anechoic chamber) and field trials. This will require using a range of RF test equipment to perform digital and analogue injection testing within synthetic EW scenarios. This role will allow autonomy to explore ways to optimise RF receiver performance through configurable memory (mission data) to improve real-world operation of the system when deployed to target platforms. This exploratory process will focus on the increasingly congested and contested electromagnetic environment, developing tactics, techniques, and procedures (TTP) for the RF receiver. To accurately represent the synthetic use cases these systems are required to integrate into, the role will liaise with military, academia, industry and international stakeholders, to complete the validation process. This new lab will be using the latest commercial-off-the-shelf (COTS) development Radio Frequency System on Chip (RFSoC) boards to achieve a high-fidelity electromagnetic environment. You will become and expert in configuring and calibrating these devices to aid testing of the RF receiver systems. This role also has influence over future development work, driving requirements through analysis of current EW systems. As such and understanding of requirements generation and the engineering lifecycle will be valuable to the role. Working autonomously with unprecedented access to the customer, you will be crucial to ensure the success of these key projects, all whilst being supported by our on-site and home-site MASS teams. The invaluable experience you ll bring, to help us achieve more. Essential: Ability to work autonomously to optimise complex EW system performance. Understanding of RF sensor systems and Test & Evaluation (T&E) practices. Proficient with RF test equipment (signal generators, oscilloscopes, and spectrum analysers). Experience calibrating hardware and software models into a laboratory environment. STEM Degree or extensive experience with RF Electronics. Desirable: Experience creating scripts/programmes (MATLAB, Python, or similar). Strong background in EW systems and concepts, including radar systems. Experience across the engineering lifecycle (Requirements, V&V, Acceptance). Understanding of Analogue & Digital Signal Processing techniques. 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 Our non-negotiables: Due to the highly secure nature of the projects that 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 Apply today to see how working for MASS could work for you!
Job Title: Senior Data Scientist at Faculty Salary: £85,000-£105,000 Company Description: Faculty - Applied AI Leader Job Description Join Faculty's Frontier team to build Computational Twins-sophisticated AI replicas of complex organizational systems. You will lead the design and deployment of production-grade decision intelligence solutions for high-stakes sectors like healthcare and life sciences. This role blends deep technical ML expertise with strategic client leadership to solve critical real-world challenges at scale. Location: London, UK Why this role is remarkable Work at the forefront of Decision Intelligence creating "Computational Twins" that simulate entire business processes for organizations like the NHS and global pharma leaders. Join a PhD-heavy technical culture recently recognized by Gartner as a Visionary, now backed by Accenture's global infrastructure to scale your impact internationally. Enjoy high-end benefits including an unlimited annual leave policy, private healthcare, dental, and specialized professional coaching through Sanctus. What you will do Design and build AI-driven digital reflections of complex systems using supervised learning, time-series, and Bayesian methods to optimize critical decision processes. Lead cross-functional squads of engineers and designers to deliver end-to-end production-grade AI solutions directly to senior stakeholders. Mentor and develop emerging data science talent through technical leadership, code reviews, and potential line management responsibilities. The ideal candidate Possesses 4+ years of professional experience in data science or quantitative research with a strong foundation in statistics and mathematics. Demonstrates expert-level Python proficiency (NumPy, Pandas) and deep familiarity with frameworks like TensorFlow or PyTorch for production environments. Exhibits a business-focused mindset with the communication skills required to translate complex technical strategies into actionable value for commercial clients.
16/06/2026
Full time
Job Title: Senior Data Scientist at Faculty Salary: £85,000-£105,000 Company Description: Faculty - Applied AI Leader Job Description Join Faculty's Frontier team to build Computational Twins-sophisticated AI replicas of complex organizational systems. You will lead the design and deployment of production-grade decision intelligence solutions for high-stakes sectors like healthcare and life sciences. This role blends deep technical ML expertise with strategic client leadership to solve critical real-world challenges at scale. Location: London, UK Why this role is remarkable Work at the forefront of Decision Intelligence creating "Computational Twins" that simulate entire business processes for organizations like the NHS and global pharma leaders. Join a PhD-heavy technical culture recently recognized by Gartner as a Visionary, now backed by Accenture's global infrastructure to scale your impact internationally. Enjoy high-end benefits including an unlimited annual leave policy, private healthcare, dental, and specialized professional coaching through Sanctus. What you will do Design and build AI-driven digital reflections of complex systems using supervised learning, time-series, and Bayesian methods to optimize critical decision processes. Lead cross-functional squads of engineers and designers to deliver end-to-end production-grade AI solutions directly to senior stakeholders. Mentor and develop emerging data science talent through technical leadership, code reviews, and potential line management responsibilities. The ideal candidate Possesses 4+ years of professional experience in data science or quantitative research with a strong foundation in statistics and mathematics. Demonstrates expert-level Python proficiency (NumPy, Pandas) and deep familiarity with frameworks like TensorFlow or PyTorch for production environments. Exhibits a business-focused mindset with the communication skills required to translate complex technical strategies into actionable value for commercial clients.
A leading AI firm in London is looking for a Senior Data Scientist to join their Frontier team. The role involves designing AI-driven solutions, mentoring talent, and collaborating with stakeholders to tackle complex organizational challenges. Candidates should have over 4 years of experience, expert-level proficiency in Python, and familiarity with ML frameworks like TensorFlow or PyTorch. The position offers competitive salary and high-end benefits, including unlimited annual leave and private healthcare.
16/06/2026
Full time
A leading AI firm in London is looking for a Senior Data Scientist to join their Frontier team. The role involves designing AI-driven solutions, mentoring talent, and collaborating with stakeholders to tackle complex organizational challenges. Candidates should have over 4 years of experience, expert-level proficiency in Python, and familiarity with ML frameworks like TensorFlow or PyTorch. The position offers competitive salary and high-end benefits, including unlimited annual leave and private healthcare.
MLOps Engineer/Machine Learning Engineer Location: Portsmouth (2 days every other week on-site, remainder remote) Rate: Up to £537 per day (Umbrella only) Clearance: MOD SC Clearance required (enhanced vetting applies) Your new company You will be joining a leading global consultancy delivering critical digital transformation programmes within the public sector. This role sits within a highly secure environment, supporting the development of advanced machine learning and MLOps capabilities across multiple use cases. Your new role As an MLOps Engineer, you will be responsible for developing and enhancing MLOps capabilities, enabling the deployment, scaling, and monitoring of machine learning solutions to secure and complex environments. You will work across engineering, DevOps, and data science teams to deliver robust, automated, and production-ready ML pipelines. What you'll be doing Develop and improve MLOps frameworks across multiple machine learning use cases Build and maintain CI/CD pipelines using GitLab (YAML-based) Deploy and manage containerised applications using Docker and Kubernetes Implement DevSecOps practices, including security scanning and automated workflows Develop scripts in Python, Bash, and Linux environments to support automation Work within air-gapped environments, ensuring secure deployment of ML solutions Collaborate with data scientists to operationalise ML models Utilise tools such as MLflow and Airflow for model tracking and orchestration Support cloud-based deployments across AWS and Google Cloud Platform Ensure performance, reliability, and scalability of machine learning systems What you'll need to succeed Strong experience in MLOps or ML Engineering roles Proven experience with Docker and Kubernetes (containerisation) Hands-on experience with AWS and/or GCP cloud environments Solid Scripting skills in Python and Bash/Linux Experience building CI/CD pipelines using GitLab (YAML) Understanding of DevSecOps principles and tooling Exposure to ML life cycle tools such as MLflow and Airflow Ability to work in highly secure or air-gapped environments Strong problem-solving and collaboration skills What you'll get in return Opportunity to work on cutting-edge ML and AI initiatives Exposure to secure government programmes and advanced environments Competitive day rate up to £537 per day Hybrid working model with flexibility Long-term potential within a major consultancy client Important information SC Clearance is required (additional MOD vetting will apply and may extend onboarding timelines) This role is PAYE via Umbrella only (inside IR35) What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV. 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 on our website.
16/06/2026
Contractor
MLOps Engineer/Machine Learning Engineer Location: Portsmouth (2 days every other week on-site, remainder remote) Rate: Up to £537 per day (Umbrella only) Clearance: MOD SC Clearance required (enhanced vetting applies) Your new company You will be joining a leading global consultancy delivering critical digital transformation programmes within the public sector. This role sits within a highly secure environment, supporting the development of advanced machine learning and MLOps capabilities across multiple use cases. Your new role As an MLOps Engineer, you will be responsible for developing and enhancing MLOps capabilities, enabling the deployment, scaling, and monitoring of machine learning solutions to secure and complex environments. You will work across engineering, DevOps, and data science teams to deliver robust, automated, and production-ready ML pipelines. What you'll be doing Develop and improve MLOps frameworks across multiple machine learning use cases Build and maintain CI/CD pipelines using GitLab (YAML-based) Deploy and manage containerised applications using Docker and Kubernetes Implement DevSecOps practices, including security scanning and automated workflows Develop scripts in Python, Bash, and Linux environments to support automation Work within air-gapped environments, ensuring secure deployment of ML solutions Collaborate with data scientists to operationalise ML models Utilise tools such as MLflow and Airflow for model tracking and orchestration Support cloud-based deployments across AWS and Google Cloud Platform Ensure performance, reliability, and scalability of machine learning systems What you'll need to succeed Strong experience in MLOps or ML Engineering roles Proven experience with Docker and Kubernetes (containerisation) Hands-on experience with AWS and/or GCP cloud environments Solid Scripting skills in Python and Bash/Linux Experience building CI/CD pipelines using GitLab (YAML) Understanding of DevSecOps principles and tooling Exposure to ML life cycle tools such as MLflow and Airflow Ability to work in highly secure or air-gapped environments Strong problem-solving and collaboration skills What you'll get in return Opportunity to work on cutting-edge ML and AI initiatives Exposure to secure government programmes and advanced environments Competitive day rate up to £537 per day Hybrid working model with flexibility Long-term potential within a major consultancy client Important information SC Clearance is required (additional MOD vetting will apply and may extend onboarding timelines) This role is PAYE via Umbrella only (inside IR35) What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV. 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 on our website.
This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. Client Details Leading international Manufacturing & Retail Company Description This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. This is a cross-functional business role designed to support data-driven decision making across the entire organisation - including Finance, Merchandising, Creative, Licensing, Sales, Supply Chain, eCommerce, and Operations. The role will additionally support marketplace, eCommerce, and consumer insight initiatives to help drive commercial decision-making across retail and digital channels. The successful candidate will be responsible for transforming complex business data into actionable insights, building reporting frameworks, identifying trends and opportunities, and supporting leadership teams with strategic analysis and forecasting. The role will also play a key part in driving the company's adoption of AI technologies, automation, and modern analytics tools. Key Responsibilities: Analyse large and complex datasets across multiple platforms to identify trends, risks, opportunities, and operational improvements Develop and maintain dashboards, KPIs, and reporting suites using Power BI Support the Finance team with forecasting, budgeting, margin analysis, profitability reporting, and commercial insights Partner with Merchandising, Sales, Licensing, Creative, Supply Chain and Operations teams to provide analytical support and performance reporting Build predictive models and analytical tools to support strategic decision-making and business planning Drive the adoption of AI and automation solutions across the business to improve efficiency and insight generation Work with ERP and operational systems, including D365 Business Central, to extract, validate, and analyse data Improve data quality, governance, consistency, and reporting accuracy across departments to ensure one version of the truth Develop and maintain data pipelines and automated reporting processes where appropriate Present findings and recommendations clearly to senior leadership and operational stakeholders Support ongoing digital transformation initiatives across the business Ensure analytical work follows best practices around governance, security, and ethical AI usage Monitor and analyse eCommerce and marketplace KPIs including conversion rate, click-through rate (CTR), ACOS, TACOS, Buy Box performance, average selling price (ASP), keyword rankings, and inventory health metrics. Support eCommerce and marketplace advertising analysis, including Amazon Sponsored Ads performance, ROAS optimisation, campaign analysis, and budget efficiency reporting. Support data-driven optimisation of eCommerce product listings, keywords, digital content, and marketplace visibility to improve discoverability, conversion, and sales performance. Conduct competitor, pricing, and market analysis to identify trends, opportunities, and risks across eCommerce and retail channels. Apply predictive analytics and trend analysis to support demand forecasting, inventory planning, and commercial decision-making. Support testing and experimentation across pricing, advertising, promotions, and digital content strategies, using analytical insight to measure performance and recommend improvements. Work closely with merchandising, eCommerce, licensing, and marketing teams to provide commercially focused analytics and actionable insight. Profile Essential: Previous experience within a Data Scientist, Data Analyst, Business Intelligence, or Analytics role Strong analytical and problem-solving skills with commercial awareness Advanced Power BI capability, including dashboard creation, DAX, data modelling, and visualisation. Strong experience using SQL for querying and manipulating datasets Experience using AI tools, large language models (LLMs), and automation technologies to support analytics, reporting, and business insight generation. Experience working with ERP systems, preferably Microsoft Dynamics 365 Business Central (BC) and/or Syspro Understanding of AI, machine learning, automation tools, and modern analytics techniques Ability to interpret complex datasets and communicate findings clearly to non-technical stakeholders Excellent communication and stakeholder management skills Highly organised with the ability to manage multiple priorities in a fast-paced environment Experience working with eCommerce and marketplace analytics, preferably Amazon Seller Central and Amazon Advertising platforms. Understanding of eCommerce performance metrics including ROAS, ACOS, TACOS, conversion rate optimisation, keyword ranking, and digital traffic analysis. Experience translating commercial and marketplace data into actionable business insight. Desirable: Experience within a consumer products, retail, licensing, apparel, manufacturing, or distribution environment Experience with forecasting, demand planning, or supply chain analytics Experience developing AI-enabled business solutions or workflow automation Understanding of financial reporting and commercial finance concepts Degree qualified in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related quantitative discipline Experience with Amazon marketplace optimisation tools such as Helium 10. Experience using social listening and consumer insight platforms such as Meltwater. Experience within licensed apparel, consumer products, retail, eCommerce, or marketplace-driven businesses.
16/06/2026
Full time
This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. Client Details Leading international Manufacturing & Retail Company Description This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. This is a cross-functional business role designed to support data-driven decision making across the entire organisation - including Finance, Merchandising, Creative, Licensing, Sales, Supply Chain, eCommerce, and Operations. The role will additionally support marketplace, eCommerce, and consumer insight initiatives to help drive commercial decision-making across retail and digital channels. The successful candidate will be responsible for transforming complex business data into actionable insights, building reporting frameworks, identifying trends and opportunities, and supporting leadership teams with strategic analysis and forecasting. The role will also play a key part in driving the company's adoption of AI technologies, automation, and modern analytics tools. Key Responsibilities: Analyse large and complex datasets across multiple platforms to identify trends, risks, opportunities, and operational improvements Develop and maintain dashboards, KPIs, and reporting suites using Power BI Support the Finance team with forecasting, budgeting, margin analysis, profitability reporting, and commercial insights Partner with Merchandising, Sales, Licensing, Creative, Supply Chain and Operations teams to provide analytical support and performance reporting Build predictive models and analytical tools to support strategic decision-making and business planning Drive the adoption of AI and automation solutions across the business to improve efficiency and insight generation Work with ERP and operational systems, including D365 Business Central, to extract, validate, and analyse data Improve data quality, governance, consistency, and reporting accuracy across departments to ensure one version of the truth Develop and maintain data pipelines and automated reporting processes where appropriate Present findings and recommendations clearly to senior leadership and operational stakeholders Support ongoing digital transformation initiatives across the business Ensure analytical work follows best practices around governance, security, and ethical AI usage Monitor and analyse eCommerce and marketplace KPIs including conversion rate, click-through rate (CTR), ACOS, TACOS, Buy Box performance, average selling price (ASP), keyword rankings, and inventory health metrics. Support eCommerce and marketplace advertising analysis, including Amazon Sponsored Ads performance, ROAS optimisation, campaign analysis, and budget efficiency reporting. Support data-driven optimisation of eCommerce product listings, keywords, digital content, and marketplace visibility to improve discoverability, conversion, and sales performance. Conduct competitor, pricing, and market analysis to identify trends, opportunities, and risks across eCommerce and retail channels. Apply predictive analytics and trend analysis to support demand forecasting, inventory planning, and commercial decision-making. Support testing and experimentation across pricing, advertising, promotions, and digital content strategies, using analytical insight to measure performance and recommend improvements. Work closely with merchandising, eCommerce, licensing, and marketing teams to provide commercially focused analytics and actionable insight. Profile Essential: Previous experience within a Data Scientist, Data Analyst, Business Intelligence, or Analytics role Strong analytical and problem-solving skills with commercial awareness Advanced Power BI capability, including dashboard creation, DAX, data modelling, and visualisation. Strong experience using SQL for querying and manipulating datasets Experience using AI tools, large language models (LLMs), and automation technologies to support analytics, reporting, and business insight generation. Experience working with ERP systems, preferably Microsoft Dynamics 365 Business Central (BC) and/or Syspro Understanding of AI, machine learning, automation tools, and modern analytics techniques Ability to interpret complex datasets and communicate findings clearly to non-technical stakeholders Excellent communication and stakeholder management skills Highly organised with the ability to manage multiple priorities in a fast-paced environment Experience working with eCommerce and marketplace analytics, preferably Amazon Seller Central and Amazon Advertising platforms. Understanding of eCommerce performance metrics including ROAS, ACOS, TACOS, conversion rate optimisation, keyword ranking, and digital traffic analysis. Experience translating commercial and marketplace data into actionable business insight. Desirable: Experience within a consumer products, retail, licensing, apparel, manufacturing, or distribution environment Experience with forecasting, demand planning, or supply chain analytics Experience developing AI-enabled business solutions or workflow automation Understanding of financial reporting and commercial finance concepts Degree qualified in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related quantitative discipline Experience with Amazon marketplace optimisation tools such as Helium 10. Experience using social listening and consumer insight platforms such as Meltwater. Experience within licensed apparel, consumer products, retail, eCommerce, or marketplace-driven businesses.
Data Scientist London - 2x a week The Company They are a rapidly scaling European insurer with a strong track record of growth and significant external investment. Their operating model is highly data driven, with advanced analytics underpinning pricing and underwriting decisions. The business fosters a high performance culture and invests heavily in developing talent, particularly individuals with strong academic foundations and high potential. Their UK presence is a key strategic focus, with continued expansion of their analytics function. The Role You will sit within the pricing and underwriting data science team, working on core modelling challenges that directly influence commercial performance. Responsibilities include: Developing and improving pricing models to optimise competitiveness in the market Identifying and integrating new data sources into modelling approaches Building predictive models to simulate customer behaviour and risk outcomes Enhancing tariff structures and pricing strategies using advanced analytics Collaborating with cross functional teams to drive customer acquisition and growth Applying logical reasoning and structured thinking to complex business problems Your Skills and Experience Strong academic background in Mathematics, Physics or a related quantitative discipline Proven ability to apply data science or statistical modelling techniques in a commercial or academic setting Proficiency in Python or strong capability to learn quickly Excellent problem solving skills, with an ability to think logically and communicate reasoning clearly Motivated, intellectually curious, and comfortable working in a fast paced environment For experienced candidates, commercial exposure to modelling in any industry is welcomed What They Offer Hybrid working with a London base Clear progression opportunities in a scaling analytics team Exposure to impactful, end to end data science projects A high performance environment with strong investment in training and development How to Apply Please apply with your CV to be considered for this opportunity.
16/06/2026
Full time
Data Scientist London - 2x a week The Company They are a rapidly scaling European insurer with a strong track record of growth and significant external investment. Their operating model is highly data driven, with advanced analytics underpinning pricing and underwriting decisions. The business fosters a high performance culture and invests heavily in developing talent, particularly individuals with strong academic foundations and high potential. Their UK presence is a key strategic focus, with continued expansion of their analytics function. The Role You will sit within the pricing and underwriting data science team, working on core modelling challenges that directly influence commercial performance. Responsibilities include: Developing and improving pricing models to optimise competitiveness in the market Identifying and integrating new data sources into modelling approaches Building predictive models to simulate customer behaviour and risk outcomes Enhancing tariff structures and pricing strategies using advanced analytics Collaborating with cross functional teams to drive customer acquisition and growth Applying logical reasoning and structured thinking to complex business problems Your Skills and Experience Strong academic background in Mathematics, Physics or a related quantitative discipline Proven ability to apply data science or statistical modelling techniques in a commercial or academic setting Proficiency in Python or strong capability to learn quickly Excellent problem solving skills, with an ability to think logically and communicate reasoning clearly Motivated, intellectually curious, and comfortable working in a fast paced environment For experienced candidates, commercial exposure to modelling in any industry is welcomed What They Offer Hybrid working with a London base Clear progression opportunities in a scaling analytics team Exposure to impactful, end to end data science projects A high performance environment with strong investment in training and development How to Apply Please apply with your CV to be considered for this opportunity.
Data Platform Manager UK / Remote Circa 65k - 75k per annum + bonus & benefits Are you ready to take ownership of a data platform and shape how data drives business decisions? This is a rare opportunity to step into a leadership role where you'll combine hands-on data engineering with strategic product management, all while building and mentoring a high-performing team. You'll play a pivotal role in evolving a modern data platform (Microsoft Fabric / Azure Synapse), ensuring it delivers real business value, scalability, and innovation. If you're passionate about data, leadership, and building robust data solutions-this is one you don't want to miss. What you'll be doing Own the end-to-end lifecycle of a core data platform, from design and build through to release, optimisation, and retirement Collaborate closely with product owners and data scientists to align platform capabilities with business needs Lead datalake migration initiatives, including consolidation of legacy data, medallion architecture design, schema evolution, and cutover planning Provide hands-on data engineering expertise, building and optimising PySpark pipelines Ensure data is secure, high-quality, accessible, and structured for maximum business value Drive best practice in data governance, cataloguing, lineage, and standards across the organisation Promote data re-use and reduce duplication across systems Oversee ETL processes, data integration, and BI architecture Manage and develop a small, high-performing data team, including mentoring, 1:1s, and continuous improvement initiatives Work closely with stakeholders across operations, analytics, and reporting teams Ensure compliance with data protection regulations and internal policies What you'll bring Strong hands-on experience in data engineering, including PySpark and production data pipelines Experience with Microsoft Fabric, Azure Synapse, or similar platforms (e.g. Databricks, AWS) Proven ability to design and manage scalable data pipelines, models, and schemas Solid SQL and relational database expertise Experience with datalake migration concepts (medallion architecture, incremental loads, backfill, cutover) Strong understanding of data governance, quality, and lifecycle management Experience with BI tools such as Power BI or Tableau Knowledge of DevOps practices (Git, Azure DevOps, CI/CD pipelines) Strong Python skills and experience with APIs/data integration tools Understanding of data protection regulations Leadership experience with the ability to mentor and develop teams Excellent communication, problem-solving, and stakeholder management skills Desirable: Experience with project management methodologies, SDLC tools, and awareness of emerging data trends What's in it for you? Performance-related bonus Private healthcare and life assurance 33 days annual leave (rising to 38 with service) Discounts across major retailers, restaurants, and holidays Generous family benefits and staff discounts Award-winning training and clear career progression Comprehensive wellbeing support for you and your family If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Product Manager, Data Engineering Lead, Lead Data Engineer, Azure Data Engineer, Data Platform Manager, Analytics Engineering Manager, Cloud Data Engineer, BI & Data Lead, PySpark Engineer, Databricks Engineer, Head of Data Engineering. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
16/06/2026
Full time
Data Platform Manager UK / Remote Circa 65k - 75k per annum + bonus & benefits Are you ready to take ownership of a data platform and shape how data drives business decisions? This is a rare opportunity to step into a leadership role where you'll combine hands-on data engineering with strategic product management, all while building and mentoring a high-performing team. You'll play a pivotal role in evolving a modern data platform (Microsoft Fabric / Azure Synapse), ensuring it delivers real business value, scalability, and innovation. If you're passionate about data, leadership, and building robust data solutions-this is one you don't want to miss. What you'll be doing Own the end-to-end lifecycle of a core data platform, from design and build through to release, optimisation, and retirement Collaborate closely with product owners and data scientists to align platform capabilities with business needs Lead datalake migration initiatives, including consolidation of legacy data, medallion architecture design, schema evolution, and cutover planning Provide hands-on data engineering expertise, building and optimising PySpark pipelines Ensure data is secure, high-quality, accessible, and structured for maximum business value Drive best practice in data governance, cataloguing, lineage, and standards across the organisation Promote data re-use and reduce duplication across systems Oversee ETL processes, data integration, and BI architecture Manage and develop a small, high-performing data team, including mentoring, 1:1s, and continuous improvement initiatives Work closely with stakeholders across operations, analytics, and reporting teams Ensure compliance with data protection regulations and internal policies What you'll bring Strong hands-on experience in data engineering, including PySpark and production data pipelines Experience with Microsoft Fabric, Azure Synapse, or similar platforms (e.g. Databricks, AWS) Proven ability to design and manage scalable data pipelines, models, and schemas Solid SQL and relational database expertise Experience with datalake migration concepts (medallion architecture, incremental loads, backfill, cutover) Strong understanding of data governance, quality, and lifecycle management Experience with BI tools such as Power BI or Tableau Knowledge of DevOps practices (Git, Azure DevOps, CI/CD pipelines) Strong Python skills and experience with APIs/data integration tools Understanding of data protection regulations Leadership experience with the ability to mentor and develop teams Excellent communication, problem-solving, and stakeholder management skills Desirable: Experience with project management methodologies, SDLC tools, and awareness of emerging data trends What's in it for you? Performance-related bonus Private healthcare and life assurance 33 days annual leave (rising to 38 with service) Discounts across major retailers, restaurants, and holidays Generous family benefits and staff discounts Award-winning training and clear career progression Comprehensive wellbeing support for you and your family If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Product Manager, Data Engineering Lead, Lead Data Engineer, Azure Data Engineer, Data Platform Manager, Analytics Engineering Manager, Cloud Data Engineer, BI & Data Lead, PySpark Engineer, Databricks Engineer, Head of Data Engineering. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
SENIOR DATA PLATFORM ENGINEER ABOUT US Every day, we push beyond expectations to help millions of people save money, at a time when it's never mattered more. Through MoneySuperMarket, MoneySavingExpert, Quidco and our B2B partnerships we supply products to more than 24 million unique monthly visitors, helping UK households to save billions of pounds a year. Can you tell this is something we're exceptionally proud of! Creative, collaborative, ambitious - it's hard work. But what makes it worth it? Leaving work knowing we've made a difference to our customers, users, and to each other. Put our distinct brands together with our dedicated colleagues and you've got a workplace with lots of personality. We're open minded, diverse, and love our differences. Everyone plays a part, and comes together to work hard, go beyond, and make sure everyone feels they belong. WHY JOIN THE DATA TEAM As part of the company Data Team, our goal is to drive business growth by building and maintaining data products that power analytics, financial reporting, CRM, machine learning and personalised customer experiences. We work closely with teams across the business to make data clean, reliable, secure and accessible for decision making. Data & AI Engineering is a cross functional team of engineers and scientists. We integrate with the group's operational data stores, maintain shared data models, build AI infused internal and external data products, and provide tools and services that help data teams handle data securely and ship with confidence. ABOUT THE ROLE This is a hands on engineering role for someone who wants to build reliable data platform capability and improve how engineering work gets done. You will help operate and evolve the platform that supports analytics, CRM, financial reporting and machine learning across the company. AI assisted engineering is an important part of the role, but we do not expect candidates to arrive as experts in every agent framework or tool. We are looking for strong engineering judgement, curiosity, and the ability to apply automation responsibly to real delivery and operational problems. You might come from data engineering, platform engineering, software engineering, SRE, analytics engineering, MLOps, or cloud infrastructure. What matters most is that you enjoy reducing toil, improving developer experience, and building secure, observable systems that other teams can depend on. WHAT YOU WILL BE DOING Build and operate the data platform Contribute to the design, delivery and operation of platform infrastructure using infrastructure as code, primarily Terraform. Improve CI/CD pipelines, deployment practices and platform tooling that enable data teams to self serve safely. Work with security, compliance and data protection colleagues to reduce risk and improve data handling practices. Deliver reliable data products Build robust, scalable data solutions that support business needs such as CRM, SEO, financial reporting and personalisation. Stay close to the business context and apply software engineering practices to solve specific data problems. Improve monitoring, alerting, data quality checks and observability so issues are detected and understood quickly. Improve engineering workflows with AI and automation Identify repeated or high friction engineering tasks and turn them into reliable automated or AI assisted workflows. Help shape team practices for coding agents, prompts, local instructions, skills, hooks and tool integrations where they deliver real value. Balance speed with security, reviewability and maintainability when introducing AI assisted delivery patterns. Enable the wider team Share practical learning through documentation, demos, pairing and show and tell sessions. Support more junior team members through coaching, code review and clear engineering standards. Keep an informed view of the fast moving AI tooling landscape and recommend adoption where it solves real team problems. WHAT WE LOOK FOR Essential experience and strengths Strong software or data engineering fundamentals, including production Python and SQL. Experience building, operating or improving cloud based systems. Familiarity with infrastructure as code, CI/CD, version control and automated testing. Ability to reason about reliability, security, observability and operational support. Experience working with technical and non technical stakeholders and communicating clearly. Curiosity about AI assisted engineering and automation, with an interest in applying these tools to practical delivery workflows. Useful but not essential Experience with GCP, AWS or Azure services such as serverless runtimes, networking, data warehouses, streaming systems or managed workflow platforms. Experience building or configuring AI agent workflows, custom agents, tool/function calling, MCP servers, local coding agent instructions, hooks or SDKs. Experience with BDD/TDD, design for testing, or improving testability in data and platform systems. WHAT REWARDS ARE ON OFFER Up to 27 holidays + bank holidays Pension up to 6% employer contribution Bonus scheme Digital Doctor on demand Work from anywhere scheme - 2 weeks per year Financial coaching Mental health platform access HOW WE'LL INVEST IN YOU We're invested in your development. Expect mentorship, training, and opportunities to expand your skill set, including access to your own individual LinkedIn Learning license with access to over 16,000 courses. At the company, we believe in the strength of diversity and see inclusion as a strategic advantage. Our values guide us in creating a workplace where fairness and equity is a reality for all. We're committed to minimising systemic bias and creating a level playing field for all candidates. We provide reasonable accommodations in the application process. You do not need to disclose your disability or condition - just specify your needs and we will guide you through available accommodations.
16/06/2026
Full time
SENIOR DATA PLATFORM ENGINEER ABOUT US Every day, we push beyond expectations to help millions of people save money, at a time when it's never mattered more. Through MoneySuperMarket, MoneySavingExpert, Quidco and our B2B partnerships we supply products to more than 24 million unique monthly visitors, helping UK households to save billions of pounds a year. Can you tell this is something we're exceptionally proud of! Creative, collaborative, ambitious - it's hard work. But what makes it worth it? Leaving work knowing we've made a difference to our customers, users, and to each other. Put our distinct brands together with our dedicated colleagues and you've got a workplace with lots of personality. We're open minded, diverse, and love our differences. Everyone plays a part, and comes together to work hard, go beyond, and make sure everyone feels they belong. WHY JOIN THE DATA TEAM As part of the company Data Team, our goal is to drive business growth by building and maintaining data products that power analytics, financial reporting, CRM, machine learning and personalised customer experiences. We work closely with teams across the business to make data clean, reliable, secure and accessible for decision making. Data & AI Engineering is a cross functional team of engineers and scientists. We integrate with the group's operational data stores, maintain shared data models, build AI infused internal and external data products, and provide tools and services that help data teams handle data securely and ship with confidence. ABOUT THE ROLE This is a hands on engineering role for someone who wants to build reliable data platform capability and improve how engineering work gets done. You will help operate and evolve the platform that supports analytics, CRM, financial reporting and machine learning across the company. AI assisted engineering is an important part of the role, but we do not expect candidates to arrive as experts in every agent framework or tool. We are looking for strong engineering judgement, curiosity, and the ability to apply automation responsibly to real delivery and operational problems. You might come from data engineering, platform engineering, software engineering, SRE, analytics engineering, MLOps, or cloud infrastructure. What matters most is that you enjoy reducing toil, improving developer experience, and building secure, observable systems that other teams can depend on. WHAT YOU WILL BE DOING Build and operate the data platform Contribute to the design, delivery and operation of platform infrastructure using infrastructure as code, primarily Terraform. Improve CI/CD pipelines, deployment practices and platform tooling that enable data teams to self serve safely. Work with security, compliance and data protection colleagues to reduce risk and improve data handling practices. Deliver reliable data products Build robust, scalable data solutions that support business needs such as CRM, SEO, financial reporting and personalisation. Stay close to the business context and apply software engineering practices to solve specific data problems. Improve monitoring, alerting, data quality checks and observability so issues are detected and understood quickly. Improve engineering workflows with AI and automation Identify repeated or high friction engineering tasks and turn them into reliable automated or AI assisted workflows. Help shape team practices for coding agents, prompts, local instructions, skills, hooks and tool integrations where they deliver real value. Balance speed with security, reviewability and maintainability when introducing AI assisted delivery patterns. Enable the wider team Share practical learning through documentation, demos, pairing and show and tell sessions. Support more junior team members through coaching, code review and clear engineering standards. Keep an informed view of the fast moving AI tooling landscape and recommend adoption where it solves real team problems. WHAT WE LOOK FOR Essential experience and strengths Strong software or data engineering fundamentals, including production Python and SQL. Experience building, operating or improving cloud based systems. Familiarity with infrastructure as code, CI/CD, version control and automated testing. Ability to reason about reliability, security, observability and operational support. Experience working with technical and non technical stakeholders and communicating clearly. Curiosity about AI assisted engineering and automation, with an interest in applying these tools to practical delivery workflows. Useful but not essential Experience with GCP, AWS or Azure services such as serverless runtimes, networking, data warehouses, streaming systems or managed workflow platforms. Experience building or configuring AI agent workflows, custom agents, tool/function calling, MCP servers, local coding agent instructions, hooks or SDKs. Experience with BDD/TDD, design for testing, or improving testability in data and platform systems. WHAT REWARDS ARE ON OFFER Up to 27 holidays + bank holidays Pension up to 6% employer contribution Bonus scheme Digital Doctor on demand Work from anywhere scheme - 2 weeks per year Financial coaching Mental health platform access HOW WE'LL INVEST IN YOU We're invested in your development. Expect mentorship, training, and opportunities to expand your skill set, including access to your own individual LinkedIn Learning license with access to over 16,000 courses. At the company, we believe in the strength of diversity and see inclusion as a strategic advantage. Our values guide us in creating a workplace where fairness and equity is a reality for all. We're committed to minimising systemic bias and creating a level playing field for all candidates. We provide reasonable accommodations in the application process. You do not need to disclose your disability or condition - just specify your needs and we will guide you through available accommodations.
The BIOVIA brand of Dassault Systèmes is seeking a highly motivated and skilled Scientific Data Specialist to join our team in expanding our cutting-edge scientific data and informatics platform. This platform empowers scientists and engineers to efficiently discover and select materials, substances, and formulations based on domain knowledge, directly integrating with CAD design, multi-physical simulations, and laboratory experiments. As a Scientific Data Engineer, you will play a crucial role in curating, validating, and ensuring the quality of our scientific database, making it a valuable resource for our users. Role Description & Responsibilities: Data Curation and Validation: Gather, clean, and validate scientific data from diverse sources, including peer-reviewed literature, domain databases, vendor catalogs, and experimental data. Implement rigorous quality control measures to ensure data accuracy, consistency, and completeness. Focus on Material domains and future expansion to other scientific domains Database Development and Maintenance: Contribute to the design and maintenance of our scientific ontology, ensuring efficient data storage, retrieval, domain coverage, and integration with our software platform Pipeline Development: Implement ETL pipelines for ingesting, cleaning, and transforming scientific datasets from multiple sources Data Analysis and Modeling: Apply statistical and machine learning techniques to analyse scientific data, identify trends, and develop predictive models for domain-relevant properties and behaviours Ontology Development and Classification: Develop and maintain a comprehensive scientific ontology and classification system to enable efficient searching and filtering based on substance class, properties, and applications Integration with Software Tools: Collaborate with software engineers to ensure seamless integration of the scientific database with CAD design software, multi-physical simulation tools, and laboratory information management systems (LIMS) User Feedback and Validation: Gather feedback from users (scientists and engineers) to understand their needs and validate the usefulness and accuracy of the scientific data. Conduct user studies and analyse usage patterns to identify areas for improvement Staying Current: Stay up-to-date with the latest advancements in relevant scientific domains, data science, and informatics to continuously improve our platform and data resources Documentation: Maintain comprehensive documentation of data sources, validation procedures, and data models Communication: Collaborate with global business and technical teams to understand data requirements and deliver reliable, high-quality data solutions that support downstream applications and analytics Qualifications: Master's or Ph.D. in Materials Science, Chemistry, Physics, Biology, Chemical Engineering, or a related scientific discipline with a strong emphasis on data analysis. Proven experience in scientific data curation, validation, and analysis. Strong understanding of domain-relevant properties, characterisation techniques, and substance or material selection processes. Proficiency in data analysis and programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn), R, or similar. Experience with database management systems (SQL or NoSQL). Familiarity with scientific databases and ontologies (e.g., Materials Project, ChEMBL, PubChem, or ontologies developed by NIST or analogous bodies). Experience with CAD software, multi-physical simulation tools, or LIMS is a plus. Excellent communication, collaboration, and problem-solving skills. Ability to work independently and as part of a global team. What's in it for you? Professional Growth: Opportunity to advance within the organization Learning Environment: Access to training, workshops, and skill development Collaboration: Work closely with cross-functional teams Company Culture: Work in a culture of collaboration and innovation
16/06/2026
Full time
The BIOVIA brand of Dassault Systèmes is seeking a highly motivated and skilled Scientific Data Specialist to join our team in expanding our cutting-edge scientific data and informatics platform. This platform empowers scientists and engineers to efficiently discover and select materials, substances, and formulations based on domain knowledge, directly integrating with CAD design, multi-physical simulations, and laboratory experiments. As a Scientific Data Engineer, you will play a crucial role in curating, validating, and ensuring the quality of our scientific database, making it a valuable resource for our users. Role Description & Responsibilities: Data Curation and Validation: Gather, clean, and validate scientific data from diverse sources, including peer-reviewed literature, domain databases, vendor catalogs, and experimental data. Implement rigorous quality control measures to ensure data accuracy, consistency, and completeness. Focus on Material domains and future expansion to other scientific domains Database Development and Maintenance: Contribute to the design and maintenance of our scientific ontology, ensuring efficient data storage, retrieval, domain coverage, and integration with our software platform Pipeline Development: Implement ETL pipelines for ingesting, cleaning, and transforming scientific datasets from multiple sources Data Analysis and Modeling: Apply statistical and machine learning techniques to analyse scientific data, identify trends, and develop predictive models for domain-relevant properties and behaviours Ontology Development and Classification: Develop and maintain a comprehensive scientific ontology and classification system to enable efficient searching and filtering based on substance class, properties, and applications Integration with Software Tools: Collaborate with software engineers to ensure seamless integration of the scientific database with CAD design software, multi-physical simulation tools, and laboratory information management systems (LIMS) User Feedback and Validation: Gather feedback from users (scientists and engineers) to understand their needs and validate the usefulness and accuracy of the scientific data. Conduct user studies and analyse usage patterns to identify areas for improvement Staying Current: Stay up-to-date with the latest advancements in relevant scientific domains, data science, and informatics to continuously improve our platform and data resources Documentation: Maintain comprehensive documentation of data sources, validation procedures, and data models Communication: Collaborate with global business and technical teams to understand data requirements and deliver reliable, high-quality data solutions that support downstream applications and analytics Qualifications: Master's or Ph.D. in Materials Science, Chemistry, Physics, Biology, Chemical Engineering, or a related scientific discipline with a strong emphasis on data analysis. Proven experience in scientific data curation, validation, and analysis. Strong understanding of domain-relevant properties, characterisation techniques, and substance or material selection processes. Proficiency in data analysis and programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn), R, or similar. Experience with database management systems (SQL or NoSQL). Familiarity with scientific databases and ontologies (e.g., Materials Project, ChEMBL, PubChem, or ontologies developed by NIST or analogous bodies). Experience with CAD software, multi-physical simulation tools, or LIMS is a plus. Excellent communication, collaboration, and problem-solving skills. Ability to work independently and as part of a global team. What's in it for you? Professional Growth: Opportunity to advance within the organization Learning Environment: Access to training, workshops, and skill development Collaboration: Work closely with cross-functional teams Company Culture: Work in a culture of collaboration and innovation
Data Science Specialist Due to the sensitive nature of this role, you will be required to undergo DV (Developed Vetting) level Security Clearance. An allowance of £5k per annum may be payable monthly while you hold this DV and continue to work in a role that requires that level of security clearance. The terms of this allowance will be made available if you are successful in being recruited into this role: This role sits within BT's Security Division and is responsible for maturing the data science capability, acting as a leader for how we exploit the value in our data. The successful candidate will play a key part in building internal expertise and delivering innovative solutions to meet both internal and customer requirements. The role holder will lead and develop an agile team of data scientists across multiple projects. In addition to technical delivery, the role has a strategic dimension - identifying high impact opportunities and engaging across the wider organisation. Location: This job role can be based in Manchester, Ipswich, Cheltenham. Onsite (Office based 5 days per week). Monday Friday 37.5 hours per week. You will need to be eligible to obtain DV Security Clearance before starting this role. You will need to have lived in the UK for 10+ years to be eligible. What you'll be doing Supports the exploitation of data on critical customer platforms. Mentors other Data Science & AI professionals, helping to improve the team's abilities by acting as a technical resource. Coordinates the development and implementation of custom data models, intelligent algorithms, and AI solutions to apply to data sets. Pursue new opportunities to utilise data science/machine learning for improved outcomes. Champions, continuously develops and shares with team knowledge on emerging trends and changes in machine learning and artificial intelligence. Essential Skills Data Analysis Programming Scripting Artificial Intelligence/Machine Learning Statistical Analysis What we'd like to see on your CV Programming/Scripting: Strong skills with compiled and interpreted languages such as python and scala. Data Analysis: Understanding of graphs, Networks, time series modelling, numerical algorithms and geospatial analytics. Machine Learning: Understanding of machine learning techniques and frameworks such as scikit learn, TensorFlow, PyTorch, etc. Devops: Basic devops and system level linux skills - confident with ssh and shell scripting, cron, package management. Familiar with version control and a mix of development environments. Software Development: Highly experienced with compiled and interpreted languages such as Python and Scala/Java, confident with common in libraries like Pandas, NumPy. Cyber Analytics: Understanding and detecting threats in Networks data. Benefits Competitive salary 10% on target bonus (Depending on country based) BT Pension scheme, minimum 5% Employee contribution, BT contribution 10% On-call allowance (Depending on the requirements of the role) 25 days annual leave (not including bank holidays), increasing with service Huge range of flexible benefits including cycle to work, healthcare, season ticket loan World class training and development opportunities From January 2025, equal family leave: receive 18 weeks at full pay, 8 weeks at half pay and 26 weeks at the statutory rate. It's for all parents, no matter how your family is made up. Enhanced women's health support: including help with menopause symptoms, cancer screenings, period care and more. 24/7 private virtual GP appointments for UK colleagues 2 weeks paid carer's leave Option to join BT Shares Saving schemes. Discounted broadband, mobile and TV packages Access to 100's of retail discounts including the BT shop
16/06/2026
Full time
Data Science Specialist Due to the sensitive nature of this role, you will be required to undergo DV (Developed Vetting) level Security Clearance. An allowance of £5k per annum may be payable monthly while you hold this DV and continue to work in a role that requires that level of security clearance. The terms of this allowance will be made available if you are successful in being recruited into this role: This role sits within BT's Security Division and is responsible for maturing the data science capability, acting as a leader for how we exploit the value in our data. The successful candidate will play a key part in building internal expertise and delivering innovative solutions to meet both internal and customer requirements. The role holder will lead and develop an agile team of data scientists across multiple projects. In addition to technical delivery, the role has a strategic dimension - identifying high impact opportunities and engaging across the wider organisation. Location: This job role can be based in Manchester, Ipswich, Cheltenham. Onsite (Office based 5 days per week). Monday Friday 37.5 hours per week. You will need to be eligible to obtain DV Security Clearance before starting this role. You will need to have lived in the UK for 10+ years to be eligible. What you'll be doing Supports the exploitation of data on critical customer platforms. Mentors other Data Science & AI professionals, helping to improve the team's abilities by acting as a technical resource. Coordinates the development and implementation of custom data models, intelligent algorithms, and AI solutions to apply to data sets. Pursue new opportunities to utilise data science/machine learning for improved outcomes. Champions, continuously develops and shares with team knowledge on emerging trends and changes in machine learning and artificial intelligence. Essential Skills Data Analysis Programming Scripting Artificial Intelligence/Machine Learning Statistical Analysis What we'd like to see on your CV Programming/Scripting: Strong skills with compiled and interpreted languages such as python and scala. Data Analysis: Understanding of graphs, Networks, time series modelling, numerical algorithms and geospatial analytics. Machine Learning: Understanding of machine learning techniques and frameworks such as scikit learn, TensorFlow, PyTorch, etc. Devops: Basic devops and system level linux skills - confident with ssh and shell scripting, cron, package management. Familiar with version control and a mix of development environments. Software Development: Highly experienced with compiled and interpreted languages such as Python and Scala/Java, confident with common in libraries like Pandas, NumPy. Cyber Analytics: Understanding and detecting threats in Networks data. Benefits Competitive salary 10% on target bonus (Depending on country based) BT Pension scheme, minimum 5% Employee contribution, BT contribution 10% On-call allowance (Depending on the requirements of the role) 25 days annual leave (not including bank holidays), increasing with service Huge range of flexible benefits including cycle to work, healthcare, season ticket loan World class training and development opportunities From January 2025, equal family leave: receive 18 weeks at full pay, 8 weeks at half pay and 26 weeks at the statutory rate. It's for all parents, no matter how your family is made up. Enhanced women's health support: including help with menopause symptoms, cancer screenings, period care and more. 24/7 private virtual GP appointments for UK colleagues 2 weeks paid carer's leave Option to join BT Shares Saving schemes. Discounted broadband, mobile and TV packages Access to 100's of retail discounts including the BT shop
Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, or equivalent practical experience. 8 years of experience in one or more programming languages (e.g., C++, Python, or JavaScript). Experience leading technical strategy across multi-disciplinary teams (e.g., Research, Product, Design) to align engineering roadmaps with non-technical business goals. Experience in a technical leadership role (Lead or Staff) through the full software development Life Cycle (SDLC) for one or more shipped AAA title or large-scale interactive product. Experience in game tech research and development, including AI/ML, procedural generation, and advanced engine optimization. Experience in architecting 0-to-1 systems. Preferred qualifications: Experience training ML models or integrating generative AI into consumer-facing products. Experience building high-performance web frontends or interactive browser-based experiences. Experience contributing to open-source projects or leading innovative technical experiments. Knowledge of modern game engines (Unreal, Unity, Godot) or proprietary internal frameworks. Familiarity with Google's internal infrastructure (google3) and development workflows. About the job Inception runs like a startup, balancing high energy idea generation with pragmatic, clear and regularly refined operations. This collaborative, multidisciplinary group is situated primarily in London and Mountain View with collaborators across the globe. It has a sizable portfolio of early stage, design focused projects, building on working processes developed internally on projects such as Astra and Genie. As a Gameplay Engineer and Prototyper in Inception, you will build interactive experiences, blurring the lines between game development and AI research. Your mission is to move beyond traditional game engineering to prove what is possible when generative models and agentic workflows become core mechanics. You will be a key bridge between research and design, moving fast to stand up 0-to-1 prototypes, crafting expert pipelines when necessary, and finding novel technical solutions to creative problems. You will work in a cross-functional environment where every project involves significant experimentation, rapid iteration, and close collaboration. Artificial intelligence will be one of humanity's most transformative inventions. At Google the company, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Responsibilities Design and rapidly implement the technical foundations for gameplay prototypes that utilize agentic workflows and generative models as core mechanics. Build internal tools, scaffolding, and workflows that empower designers and researchers to easily experiment with complex AI pipelines. Lead the integration of small- and large-scale streaming models into game environments, creatively hiding latency and consistency issues inherent to probabilistic models. Partner closely with designers and research scientists to solve "unsolvable" technical bottlenecks in early-stage, design-focused projects. Build compliant pipelines for data managing and model testing where stability matters, while maintaining the speed and flexibility required for rapid game prototyping. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
16/06/2026
Full time
Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, or equivalent practical experience. 8 years of experience in one or more programming languages (e.g., C++, Python, or JavaScript). Experience leading technical strategy across multi-disciplinary teams (e.g., Research, Product, Design) to align engineering roadmaps with non-technical business goals. Experience in a technical leadership role (Lead or Staff) through the full software development Life Cycle (SDLC) for one or more shipped AAA title or large-scale interactive product. Experience in game tech research and development, including AI/ML, procedural generation, and advanced engine optimization. Experience in architecting 0-to-1 systems. Preferred qualifications: Experience training ML models or integrating generative AI into consumer-facing products. Experience building high-performance web frontends or interactive browser-based experiences. Experience contributing to open-source projects or leading innovative technical experiments. Knowledge of modern game engines (Unreal, Unity, Godot) or proprietary internal frameworks. Familiarity with Google's internal infrastructure (google3) and development workflows. About the job Inception runs like a startup, balancing high energy idea generation with pragmatic, clear and regularly refined operations. This collaborative, multidisciplinary group is situated primarily in London and Mountain View with collaborators across the globe. It has a sizable portfolio of early stage, design focused projects, building on working processes developed internally on projects such as Astra and Genie. As a Gameplay Engineer and Prototyper in Inception, you will build interactive experiences, blurring the lines between game development and AI research. Your mission is to move beyond traditional game engineering to prove what is possible when generative models and agentic workflows become core mechanics. You will be a key bridge between research and design, moving fast to stand up 0-to-1 prototypes, crafting expert pipelines when necessary, and finding novel technical solutions to creative problems. You will work in a cross-functional environment where every project involves significant experimentation, rapid iteration, and close collaboration. Artificial intelligence will be one of humanity's most transformative inventions. At Google the company, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Responsibilities Design and rapidly implement the technical foundations for gameplay prototypes that utilize agentic workflows and generative models as core mechanics. Build internal tools, scaffolding, and workflows that empower designers and researchers to easily experiment with complex AI pipelines. Lead the integration of small- and large-scale streaming models into game environments, creatively hiding latency and consistency issues inherent to probabilistic models. Partner closely with designers and research scientists to solve "unsolvable" technical bottlenecks in early-stage, design-focused projects. Build compliant pipelines for data managing and model testing where stability matters, while maintaining the speed and flexibility required for rapid game prototyping. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
慨正橡扯 is seeking a Data Science Specialist in Salford to lead data science initiatives and mentor a team of data scientists. This role involves developing custom data models and identifying high-impact opportunities across the organization. Candidates must have strong programming skills in Python and Scala, and experience with machine learning techniques. Benefits include a competitive salary, 10% on-target bonus, and extensive flexible benefits.
16/06/2026
Full time
慨正橡扯 is seeking a Data Science Specialist in Salford to lead data science initiatives and mentor a team of data scientists. This role involves developing custom data models and identifying high-impact opportunities across the organization. Candidates must have strong programming skills in Python and Scala, and experience with machine learning techniques. Benefits include a competitive salary, 10% on-target bonus, and extensive flexible benefits.
Responsibilities Design and develop machine learning solutions to address business challenges and improve decision making through intelligent automation. Analyze business requirements and identify suitable machine learning approaches for predictive analytics, classification, forecasting, and recommendation systems. Utilize AI and machine learning platforms, AutoML tools, and intelligent services to build scalable and efficient solutions. Collect, evaluate, and prepare datasets to ensure data quality, consistency, and suitability for machine learning applications. Collaborate with data scientists, software engineers, and business stakeholders to design and implement AI driven solutions. Evaluate model performance using key metrics, dashboards, and analytical tools to ensure accuracy, reliability, and effectiveness. Monitor deployed machine learning systems and recommend improvements, retraining strategies, and performance optimizations. Apply data preprocessing, feature selection, labeling, and augmentation techniques using modern machine learning tools and platforms. Support the deployment and integration of machine learning solutions across cloud based and enterprise environments. Develop intelligent workflows and automation processes that enhance productivity, operational efficiency, and business outcomes. Create and maintain comprehensive documentation of machine learning solutions, datasets, workflows, and deployment processes. Research and evaluate emerging machine learning technologies, tools, and industry best practices to support innovation initiatives. Ensure responsible and ethical use of artificial intelligence by promoting fairness, transparency, privacy, and bias mitigation practices. Translate complex machine learning concepts into clear business insights and recommendations for technical and non technical stakeholders. Collaborate with cross functional teams to continuously improve machine learning capabilities and deliver measurable business value.
16/06/2026
Full time
Responsibilities Design and develop machine learning solutions to address business challenges and improve decision making through intelligent automation. Analyze business requirements and identify suitable machine learning approaches for predictive analytics, classification, forecasting, and recommendation systems. Utilize AI and machine learning platforms, AutoML tools, and intelligent services to build scalable and efficient solutions. Collect, evaluate, and prepare datasets to ensure data quality, consistency, and suitability for machine learning applications. Collaborate with data scientists, software engineers, and business stakeholders to design and implement AI driven solutions. Evaluate model performance using key metrics, dashboards, and analytical tools to ensure accuracy, reliability, and effectiveness. Monitor deployed machine learning systems and recommend improvements, retraining strategies, and performance optimizations. Apply data preprocessing, feature selection, labeling, and augmentation techniques using modern machine learning tools and platforms. Support the deployment and integration of machine learning solutions across cloud based and enterprise environments. Develop intelligent workflows and automation processes that enhance productivity, operational efficiency, and business outcomes. Create and maintain comprehensive documentation of machine learning solutions, datasets, workflows, and deployment processes. Research and evaluate emerging machine learning technologies, tools, and industry best practices to support innovation initiatives. Ensure responsible and ethical use of artificial intelligence by promoting fairness, transparency, privacy, and bias mitigation practices. Translate complex machine learning concepts into clear business insights and recommendations for technical and non technical stakeholders. Collaborate with cross functional teams to continuously improve machine learning capabilities and deliver measurable business value.
Why Here? Sainsbury's stands as one of the UK's leading retailers, committed to delivering quality products and exceptional customer experiences across its vast network. The Customer Data Science team within the Data Science Hub develops sophisticated systems for personalised customer decisioning. They leverage rich data assets and advanced machine learning to personalise offers, recommendations, and digital experiences at scale. What Will You Do? As a Senior Data Scientist - Technical Specialist at Sainsbury's, you will tackle ambiguous high-value problems in customer understanding, personalisation, optimisation, and decisioning. You will define and embed best practices across modelling, experimentation, deployment, and model lifecycle management to raise technical standards. Additionally, you will coach through pairing on code and demonstrating standards while representing team needs to the Platform team for better ML Ops support.
16/06/2026
Full time
Why Here? Sainsbury's stands as one of the UK's leading retailers, committed to delivering quality products and exceptional customer experiences across its vast network. The Customer Data Science team within the Data Science Hub develops sophisticated systems for personalised customer decisioning. They leverage rich data assets and advanced machine learning to personalise offers, recommendations, and digital experiences at scale. What Will You Do? As a Senior Data Scientist - Technical Specialist at Sainsbury's, you will tackle ambiguous high-value problems in customer understanding, personalisation, optimisation, and decisioning. You will define and embed best practices across modelling, experimentation, deployment, and model lifecycle management to raise technical standards. Additionally, you will coach through pairing on code and demonstrating standards while representing team needs to the Platform team for better ML Ops support.
Lead Data Scientist Cardiff / Remote AI, Machine Learning & Data Science Leadership We're partnering with a global B2B SaaS organisation that is making significant investment in AI and Data Science as part of its next phase of growth. This is an opportunity for an experienced Lead Data Scientist to step into a high-impact leadership role, helping to build and shape a growing Data Science function while remaining hands-on with cutting-edge AI and machine learning initiatives. You'll work closely with senior leadership to define the technical direction of Data Science, influence product innovation and lead the development of production-grade machine learning solutions that deliver measurable business value. Why this role stands out: Lead and grow a newly expanding Data Science capability Shape the future AI strategy within a business heavily investing in machine learning and generative AI Drive innovation across predictive analytics, NLP and LLM-powered products Enjoy genuine influence over technical direction, tooling and best practice Work on highly visible projects with direct commercial impact Remote-first environment with strong backing from leadership What you'll be doing: Leading technical decision making across the Data Science function Designing, building and deploying machine learning models into production Driving NLP, Generative AI and LLM initiatives Partnering with Engineering, Product and Operations teams to solve complex business challenges Mentoring and developing a growing team of Data Scientists Establishing best practice across model development, governance and MLOps Tech Stack Python SQL TensorFlow PyTorch AWS Azure SageMaker NLP LLMs MLOps What we're looking for: Strong commercial Data Science and Machine Learning experience Experience leading teams or acting as a technical lead within a Data Science function Strong knowledge of cloud platforms and ML deployment Experience delivering production-ready AI solutions Excellent stakeholder management and communication skills The Opportunity This is more than a traditional Lead Data Scientist position. It's a chance to join at a pivotal stage of growth and play a key role in building the next generation of AI capability within a global technology business. If you're excited by the prospect of leading a team, influencing AI strategy and working on innovative machine learning and LLM projects that make a real difference, we'd love to hear from you.
16/06/2026
Full time
Lead Data Scientist Cardiff / Remote AI, Machine Learning & Data Science Leadership We're partnering with a global B2B SaaS organisation that is making significant investment in AI and Data Science as part of its next phase of growth. This is an opportunity for an experienced Lead Data Scientist to step into a high-impact leadership role, helping to build and shape a growing Data Science function while remaining hands-on with cutting-edge AI and machine learning initiatives. You'll work closely with senior leadership to define the technical direction of Data Science, influence product innovation and lead the development of production-grade machine learning solutions that deliver measurable business value. Why this role stands out: Lead and grow a newly expanding Data Science capability Shape the future AI strategy within a business heavily investing in machine learning and generative AI Drive innovation across predictive analytics, NLP and LLM-powered products Enjoy genuine influence over technical direction, tooling and best practice Work on highly visible projects with direct commercial impact Remote-first environment with strong backing from leadership What you'll be doing: Leading technical decision making across the Data Science function Designing, building and deploying machine learning models into production Driving NLP, Generative AI and LLM initiatives Partnering with Engineering, Product and Operations teams to solve complex business challenges Mentoring and developing a growing team of Data Scientists Establishing best practice across model development, governance and MLOps Tech Stack Python SQL TensorFlow PyTorch AWS Azure SageMaker NLP LLMs MLOps What we're looking for: Strong commercial Data Science and Machine Learning experience Experience leading teams or acting as a technical lead within a Data Science function Strong knowledge of cloud platforms and ML deployment Experience delivering production-ready AI solutions Excellent stakeholder management and communication skills The Opportunity This is more than a traditional Lead Data Scientist position. It's a chance to join at a pivotal stage of growth and play a key role in building the next generation of AI capability within a global technology business. If you're excited by the prospect of leading a team, influencing AI strategy and working on innovative machine learning and LLM projects that make a real difference, we'd love to hear from you.
