Data Science Lead - Product 75,000 Hybrid - Central London (2-3 days onsite: Tues, Wed, Thurs) Permanent Full-time Mentmore have been exclusively engaged by one of the world's leading Law firms to build out their Data Science capability. My client is looking for someone to sit within the Data Product area and lead the Data Science capability for the Product organisation. They're investing heavily in their data capability and need a Lead Data Scientist to drive innovation, shape future data products, and lead high-impact projects across the business. What You'll Do Lead the development of innovative, enterprise-grade data solutions and advanced analytics capabilities, working on high-impact initiatives including AI, automation, and new data products. Lead the design and development of analytics solutions, ML prototypes, and intelligent automation tools. Collaborate across Product, Platform, and Engineering teams to ensure your solutions are scalable and robust. Take ownership of solution design, prototype development, strategic experimentation and integrating solutions into broader product and platform architecture Contribute to the firm's AI strategy and roadmap Build robust, interpretable models for forecasting, classification, clustering, and optimisation. Act as a change agent - helping business users understand the why , not just the what . Mentor and support other data scientists, nurturing a culture of experimentation and excellence. What You Bring A strong data science background with experience in fast-paced, commercial environments. Strong background in Python , SQL , and Power BI . Experience designing and delivering end-to-end analytics solutions . Comfortable engaging with senior stakeholders and translating business goals into data strategy. A collaborative, people-first approach - you bring others with you on the journey. Bonus: experience leading small teams or mentoring junior talent. Why This Role Rocks Be part of a Product-led Innovation team where experimentation is encouraged and supported. Shape the data strategy and deliver solutions that will have immediate and visible business impact. Work cross-functionally with Product, Engineering, and Legal Innovation teams. Be seen. Be heard. Have real influence.
11/07/2025
Full time
Data Science Lead - Product 75,000 Hybrid - Central London (2-3 days onsite: Tues, Wed, Thurs) Permanent Full-time Mentmore have been exclusively engaged by one of the world's leading Law firms to build out their Data Science capability. My client is looking for someone to sit within the Data Product area and lead the Data Science capability for the Product organisation. They're investing heavily in their data capability and need a Lead Data Scientist to drive innovation, shape future data products, and lead high-impact projects across the business. What You'll Do Lead the development of innovative, enterprise-grade data solutions and advanced analytics capabilities, working on high-impact initiatives including AI, automation, and new data products. Lead the design and development of analytics solutions, ML prototypes, and intelligent automation tools. Collaborate across Product, Platform, and Engineering teams to ensure your solutions are scalable and robust. Take ownership of solution design, prototype development, strategic experimentation and integrating solutions into broader product and platform architecture Contribute to the firm's AI strategy and roadmap Build robust, interpretable models for forecasting, classification, clustering, and optimisation. Act as a change agent - helping business users understand the why , not just the what . Mentor and support other data scientists, nurturing a culture of experimentation and excellence. What You Bring A strong data science background with experience in fast-paced, commercial environments. Strong background in Python , SQL , and Power BI . Experience designing and delivering end-to-end analytics solutions . Comfortable engaging with senior stakeholders and translating business goals into data strategy. A collaborative, people-first approach - you bring others with you on the journey. Bonus: experience leading small teams or mentoring junior talent. Why This Role Rocks Be part of a Product-led Innovation team where experimentation is encouraged and supported. Shape the data strategy and deliver solutions that will have immediate and visible business impact. Work cross-functionally with Product, Engineering, and Legal Innovation teams. Be seen. Be heard. Have real influence.
Amex GBT is a place where colleagues find inspiration in travel as a force for good and - through their work - can make an impact on our industry. We're here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued. Data drives our business. Come and join our Analytic team and take part in defining and distilling that data for key corporate decision makers and our clients around the world. About the Role: The Amex GBT Analytics team is actively seeking a qualified candidate to fulfil the role of Lead Data Analyst/ Scientist. This critical position demands a self-motivated, results-oriented individual, with strong analytical skills to join our global team. Using advanced analytical techniques, you will support the business teams through critical projects and influence decisions based on data and analyses that help deliver results. You will have the opportunity to work on a broad spectrum of areas that include in-product messaging, marketing operations, campaign performance optimization, and personalized marketing framework. This position will be highly rewarding and lots of fun. Training and development opportunities will abound ensuring high-performing individuals can chart a long-term career trajectory within the company. This role represents an exciting opportunity to join Amex GBT, as we define the future of business travel as we lead the industry into a new era. What you will do Passionate storytelling and bringing data to life by partnering with key stakeholders. Design and build models to prioritize and classify critical touchpoints along the customer journey to increase internal guidance and prioritization. Lead strategic and quantitative analysis to support and enable the continued growth critical to Amex GBT. Influence partners and senior leaders by communicating across various levels of the organization in a clear and compelling way. Maintain, consolidate, and enrich current reports/dashboards to visualize data analysis and insights. Support ongoing needs for analytical/ operational reporting, and day-to-day needs that impact our Sales and Marketing teams. Support data migrations, updating links, and ratifying and consolidating existing reports. Identify, prioritize, and drive operational improvements. What We're Looking For Proficiency in verbal and written communication, and competence in data presentation. Relevant bachelor's or master's degree or equivalent experience in any of the following fields: computer science, statistics, mathematics, physical sciences with strong understating of data analytics. Validated experience with marketing technologies, such as Google Analytics, Adobe Analytics, Salesforce Marketing Cloud, Marketo or similar technologies 8+ years of work experience in a relevant business environment. Proficiency in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and interpret results) and Python/R. Strong experience using Tableau to pull data from various sources, develop and publish automated reports and dashboards. Deep understanding of data and reporting requirements, with the ability to collaborate on analytics models, reporting tools, and return on investment analysis. Capacity to thrive in a fast-paced environment and embrace ambiguity while maintaining a sharp focus on delivering results. Location United Kingdom The Experience Work and life: Find your happy medium at Amex GBT. Flexible benefits are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and wellbeing resources to support you and your immediate family . Travel perks: get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals. Develop the skills you want when the time is right for you, with access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first. We strive to champion Inclusion in every aspect of our business at Amex GBT. You can connect with colleagues through our global INclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action. And much more! A ll applicants will receive equal consideration for employment without regard to age, sex, gender (and characteristics related to sex and gender), pregnancy (and related medical conditions), race, color, citizenship, religion, disability, or any other class or characteristic protected by law. Click Here for Additional Disclosures in Accordance with the LA County Fair Chance Ordinance. Furthermore, we are committed to providing reasonable accommodation to qualified individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the hiring process. For details regarding how we protect your data, please consult the Amex GBT Recruitment Privacy Statement . What if I don't meet every requirement? If you're passionate about our mission and believe you'd be a phenomenal addition to our team, don't worry about "checking every box;" please apply anyway. You may be exactly the person we're looking for!
10/07/2025
Full time
Amex GBT is a place where colleagues find inspiration in travel as a force for good and - through their work - can make an impact on our industry. We're here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued. Data drives our business. Come and join our Analytic team and take part in defining and distilling that data for key corporate decision makers and our clients around the world. About the Role: The Amex GBT Analytics team is actively seeking a qualified candidate to fulfil the role of Lead Data Analyst/ Scientist. This critical position demands a self-motivated, results-oriented individual, with strong analytical skills to join our global team. Using advanced analytical techniques, you will support the business teams through critical projects and influence decisions based on data and analyses that help deliver results. You will have the opportunity to work on a broad spectrum of areas that include in-product messaging, marketing operations, campaign performance optimization, and personalized marketing framework. This position will be highly rewarding and lots of fun. Training and development opportunities will abound ensuring high-performing individuals can chart a long-term career trajectory within the company. This role represents an exciting opportunity to join Amex GBT, as we define the future of business travel as we lead the industry into a new era. What you will do Passionate storytelling and bringing data to life by partnering with key stakeholders. Design and build models to prioritize and classify critical touchpoints along the customer journey to increase internal guidance and prioritization. Lead strategic and quantitative analysis to support and enable the continued growth critical to Amex GBT. Influence partners and senior leaders by communicating across various levels of the organization in a clear and compelling way. Maintain, consolidate, and enrich current reports/dashboards to visualize data analysis and insights. Support ongoing needs for analytical/ operational reporting, and day-to-day needs that impact our Sales and Marketing teams. Support data migrations, updating links, and ratifying and consolidating existing reports. Identify, prioritize, and drive operational improvements. What We're Looking For Proficiency in verbal and written communication, and competence in data presentation. Relevant bachelor's or master's degree or equivalent experience in any of the following fields: computer science, statistics, mathematics, physical sciences with strong understating of data analytics. Validated experience with marketing technologies, such as Google Analytics, Adobe Analytics, Salesforce Marketing Cloud, Marketo or similar technologies 8+ years of work experience in a relevant business environment. Proficiency in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and interpret results) and Python/R. Strong experience using Tableau to pull data from various sources, develop and publish automated reports and dashboards. Deep understanding of data and reporting requirements, with the ability to collaborate on analytics models, reporting tools, and return on investment analysis. Capacity to thrive in a fast-paced environment and embrace ambiguity while maintaining a sharp focus on delivering results. Location United Kingdom The Experience Work and life: Find your happy medium at Amex GBT. Flexible benefits are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and wellbeing resources to support you and your immediate family . Travel perks: get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals. Develop the skills you want when the time is right for you, with access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first. We strive to champion Inclusion in every aspect of our business at Amex GBT. You can connect with colleagues through our global INclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action. And much more! A ll applicants will receive equal consideration for employment without regard to age, sex, gender (and characteristics related to sex and gender), pregnancy (and related medical conditions), race, color, citizenship, religion, disability, or any other class or characteristic protected by law. Click Here for Additional Disclosures in Accordance with the LA County Fair Chance Ordinance. Furthermore, we are committed to providing reasonable accommodation to qualified individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the hiring process. For details regarding how we protect your data, please consult the Amex GBT Recruitment Privacy Statement . What if I don't meet every requirement? If you're passionate about our mission and believe you'd be a phenomenal addition to our team, don't worry about "checking every box;" please apply anyway. You may be exactly the person we're looking for!
Senior Data Science Engineer (Applied Data Science / SAAS) Location: Hybrid - 2 days per week in either Hampshire or Worcestershire Salary: 50,000 - 55,000 (DOE) Are you a hands-on data scientist who loves turning messy data into actionable insight? Do you enjoy building practical data solutions and working across teams to bring data-driven products to life? We're looking for a Senior Data Science Engineer to help shape a growing data capability within a well-established and ambitious tech organisation. You'll play a key role in designing and delivering data-driven products, contributing to model development, analytics tools and scalable pipelines that drive insight and innovation. You'll collaborate with engineers, analysts and stakeholders to solve real business problems using a blend of data science, analytics engineering and applied machine learning. This is a broad and flexible role, ideal for someone who's worked across the data science lifecycle and enjoys both experimentation and delivery. Key responsibilities include: Building and refining models to support decision-making and customer insight Designing and developing analytics tools and pipelines for internal and external use Supporting productionisation of models and analytical workflows Promoting best practices in reproducible, ethical and explainable data science Exploring new technologies and techniques to evolve the data offering What We're Looking For Strong experience in a Data Science or Machine Learning role Proficient in Python and SQL, with a solid grasp of data wrangling, modelling and validation Comfortable working with varied datasets and translating findings for non-technical audiences Understanding of modern data workflows (version control, notebooks, testing, etc.) Strong communicator with a practical, delivery-focused mindset Nice to have: Experience deploying or supporting ML models (e.g. regression, classification, recommendation) Familiarity with ML/DS libraries such as scikit-learn, TensorFlow, Hugging Face, or similar Exposure to cloud platforms (Azure preferred), APIs or data services Please note: Visa sponsorship is unfortunately not available for this role. Applicants must have the right to work in the UK . If you're excited about solving real-world problems with data, enjoy working across disciplines and want a role where you can have real impact then we'd love to hear from you. Apply now to take your next step in applied data science.
10/07/2025
Full time
Senior Data Science Engineer (Applied Data Science / SAAS) Location: Hybrid - 2 days per week in either Hampshire or Worcestershire Salary: 50,000 - 55,000 (DOE) Are you a hands-on data scientist who loves turning messy data into actionable insight? Do you enjoy building practical data solutions and working across teams to bring data-driven products to life? We're looking for a Senior Data Science Engineer to help shape a growing data capability within a well-established and ambitious tech organisation. You'll play a key role in designing and delivering data-driven products, contributing to model development, analytics tools and scalable pipelines that drive insight and innovation. You'll collaborate with engineers, analysts and stakeholders to solve real business problems using a blend of data science, analytics engineering and applied machine learning. This is a broad and flexible role, ideal for someone who's worked across the data science lifecycle and enjoys both experimentation and delivery. Key responsibilities include: Building and refining models to support decision-making and customer insight Designing and developing analytics tools and pipelines for internal and external use Supporting productionisation of models and analytical workflows Promoting best practices in reproducible, ethical and explainable data science Exploring new technologies and techniques to evolve the data offering What We're Looking For Strong experience in a Data Science or Machine Learning role Proficient in Python and SQL, with a solid grasp of data wrangling, modelling and validation Comfortable working with varied datasets and translating findings for non-technical audiences Understanding of modern data workflows (version control, notebooks, testing, etc.) Strong communicator with a practical, delivery-focused mindset Nice to have: Experience deploying or supporting ML models (e.g. regression, classification, recommendation) Familiarity with ML/DS libraries such as scikit-learn, TensorFlow, Hugging Face, or similar Exposure to cloud platforms (Azure preferred), APIs or data services Please note: Visa sponsorship is unfortunately not available for this role. Applicants must have the right to work in the UK . If you're excited about solving real-world problems with data, enjoy working across disciplines and want a role where you can have real impact then we'd love to hear from you. Apply now to take your next step in applied data science.
Senior Data Science Engineer (Applied Data Science/SAAS) Location: Hybrid - 2 days per week in either Hampshire or Worcestershire Salary: £50,000 - £55,000 (DOE) Are you a hands-on data scientist who loves turning messy data into actionable insight? Do you enjoy building practical data solutions and working across teams to bring data-driven products to life? We're looking for a Senior Data Science Engineer to help shape a growing data capability within a well-established and ambitious tech organisation. You'll play a key role in designing and delivering data-driven products, contributing to model development, analytics tools and scalable pipelines that drive insight and innovation. You'll collaborate with engineers, analysts and stakeholders to solve real business problems using a blend of data science, analytics engineering and applied machine learning. This is a broad and flexible role, ideal for someone who's worked across the data science life cycle and enjoys both experimentation and delivery. Key responsibilities include: Building and refining models to support decision-making and customer insight Designing and developing analytics tools and pipelines for internal and external use Supporting productionisation of models and analytical workflows Promoting best practices in reproducible, ethical and explainable data science Exploring new technologies and techniques to evolve the data offering What We're Looking For Strong experience in a Data Science or Machine Learning role Proficient in Python and SQL, with a solid grasp of data wrangling, modelling and validation Comfortable working with varied datasets and translating findings for non-technical audiences Understanding of modern data workflows (version control, notebooks, testing, etc.) Strong communicator with a practical, delivery-focused mindset Nice to have: Experience deploying or supporting ML models (eg regression, classification, recommendation) Familiarity with ML/DS libraries such as scikit-learn, TensorFlow, Hugging Face, or similar Exposure to cloud platforms (Azure preferred), APIs or data services Please note: Visa sponsorship is unfortunately not available for this role. Applicants must have the right to work in the UK . If you're excited about solving real-world problems with data, enjoy working across disciplines and want a role where you can have real impact then we'd love to hear from you. Apply now to take your next step in applied data science.
10/07/2025
Full time
Senior Data Science Engineer (Applied Data Science/SAAS) Location: Hybrid - 2 days per week in either Hampshire or Worcestershire Salary: £50,000 - £55,000 (DOE) Are you a hands-on data scientist who loves turning messy data into actionable insight? Do you enjoy building practical data solutions and working across teams to bring data-driven products to life? We're looking for a Senior Data Science Engineer to help shape a growing data capability within a well-established and ambitious tech organisation. You'll play a key role in designing and delivering data-driven products, contributing to model development, analytics tools and scalable pipelines that drive insight and innovation. You'll collaborate with engineers, analysts and stakeholders to solve real business problems using a blend of data science, analytics engineering and applied machine learning. This is a broad and flexible role, ideal for someone who's worked across the data science life cycle and enjoys both experimentation and delivery. Key responsibilities include: Building and refining models to support decision-making and customer insight Designing and developing analytics tools and pipelines for internal and external use Supporting productionisation of models and analytical workflows Promoting best practices in reproducible, ethical and explainable data science Exploring new technologies and techniques to evolve the data offering What We're Looking For Strong experience in a Data Science or Machine Learning role Proficient in Python and SQL, with a solid grasp of data wrangling, modelling and validation Comfortable working with varied datasets and translating findings for non-technical audiences Understanding of modern data workflows (version control, notebooks, testing, etc.) Strong communicator with a practical, delivery-focused mindset Nice to have: Experience deploying or supporting ML models (eg regression, classification, recommendation) Familiarity with ML/DS libraries such as scikit-learn, TensorFlow, Hugging Face, or similar Exposure to cloud platforms (Azure preferred), APIs or data services Please note: Visa sponsorship is unfortunately not available for this role. Applicants must have the right to work in the UK . If you're excited about solving real-world problems with data, enjoy working across disciplines and want a role where you can have real impact then we'd love to hear from you. Apply now to take your next step in applied data science.
Explore AI/ML solutions to tough physics problems in the Defence domain This research team is looking for an experienced engineer or post-doctoral scientist to help them explore the use of modern ML techniques for solving problems across defence related domains such as RF, edge AI and AI security. They work collaboratively within their team as well as with other teams working on similar problems spread across the country. Their work is highly experimental, and it is understood that not all projects succeed, even failed projects contain valuable insights. You will be building upon cutting-edge ML techniques such as transformers and reinforcement learning to create novel multi-modal solutions. Examples include sensor fusion systems, physics-informed neural networks for simulations, and multi-purpose autonomous robots. Projects will be defence focused but may include offensive capabilities. Please note, as projects are defence related, you will need to qualify for UK security clearance to be considered for this role. Requirements: PhD or equivalent professional experience in a field that demonstrates significant understanding of both computer science and advanced statistical or numerical methods Practical experience applying ML techniques to solve real-world problems Knowledgeable in conducting and publishing (as first author) high-quality research for academic journals Team leadership experience While not required, both a good understanding of RF physics and previous involvement in defence related research projects would be highly beneficial. This team has an academic and welcoming work environment where ideas are judged on merit and good work rewarded fairly. Due to the research heavy nature of projects, the team can often work from home and be in the office as little as one day each week. The office itself is located in central London very close to major public transport links making it an easy commute from either within London or the surrounding area. Initially this is an 18-month contract with the expectation of extending this as more funding is released. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27404 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
10/07/2025
Full time
Explore AI/ML solutions to tough physics problems in the Defence domain This research team is looking for an experienced engineer or post-doctoral scientist to help them explore the use of modern ML techniques for solving problems across defence related domains such as RF, edge AI and AI security. They work collaboratively within their team as well as with other teams working on similar problems spread across the country. Their work is highly experimental, and it is understood that not all projects succeed, even failed projects contain valuable insights. You will be building upon cutting-edge ML techniques such as transformers and reinforcement learning to create novel multi-modal solutions. Examples include sensor fusion systems, physics-informed neural networks for simulations, and multi-purpose autonomous robots. Projects will be defence focused but may include offensive capabilities. Please note, as projects are defence related, you will need to qualify for UK security clearance to be considered for this role. Requirements: PhD or equivalent professional experience in a field that demonstrates significant understanding of both computer science and advanced statistical or numerical methods Practical experience applying ML techniques to solve real-world problems Knowledgeable in conducting and publishing (as first author) high-quality research for academic journals Team leadership experience While not required, both a good understanding of RF physics and previous involvement in defence related research projects would be highly beneficial. This team has an academic and welcoming work environment where ideas are judged on merit and good work rewarded fairly. Due to the research heavy nature of projects, the team can often work from home and be in the office as little as one day each week. The office itself is located in central London very close to major public transport links making it an easy commute from either within London or the surrounding area. Initially this is an 18-month contract with the expectation of extending this as more funding is released. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27404 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
About The Role Do you thrive on turning complex environmental data into compelling insight? Are you ready to lead meaningful projects in a growing team of analysts and scientists? We're looking for a Senior Environmental Data Analyst to join our growing Water Data Science team. This role is ideal for someone who combines strong technical skills with a consultancy mindset-comfortable analysing data, guiding project delivery, and collaborating with internal experts and external clients alike. You'll be involved in a broad portfolio of work across the water sector, using data to assess and manage the effects of abstraction, pollution, habitat quality and climate change on water quality, flow, invertebrates, macrophytes and fish. As a senior member of the team, you'll play a key role in shaping methodologies, mentoring junior staff, and ensuring our analysis translates into clear, confident advice that influences decision-making. To be successful in this role, you'll need: - A BSc or MSc in a relevant subject (e.g. environmental science, data science, hydrology, ecology) - Either a PhD or 3+ years of professional experience in environmental analysis or consultancy - Excellent skills in R, including data wrangling, statistical analysis and visualisation - Experience managing and delivering client-focused technical projects - Excellent written and verbal communication, with a strong focus on clarity and impact - Strong time management and attention to detail. Desirable but not essential: - Experience mentoring or training junior colleagues - Experience with GIS (e.g. ArcGIS or QGIS) or SQL databases - Experience working with regulatory or consultancy clients in the water or environmental sector - Membership of a relevant professional body - A valid UK driving licence This is a fantastic opportunity to take the lead on high-profile, data-driven projects-while being part of a supportive and forward-thinking team that values quality, flexibility and collaboration. You will be offered the chance to work on a variety of projects, many of our employees have worked on projects that have been of personal interest to them. We match this with a commitment to continuous development and learning to support your career. We also offer benefits to look after you, from private medical insurance for all employees, access to mental health first aiders and comprehensive income protection if you cannot work. We also offer superb flexible working options, balancing work with your life. Next steps We are focused on creating a diverse and inclusive team. If you can't tick every box on our job description, then we are still keen to hear from you and are open to supporting your development. That may be working part time or supporting you to gain experience in a specific area - we are a growing company and are able to adapt roles to reflect individual skills. If you think you have what it takes to join our fast-growing business, then please apply immediately on our website. All we need some basic information and your CV, we will review all applications quickly and will respond to all applications. About Us The APEM Group is a global environmental consultancy, we work with a range of clients including large corporations and governments to help them understand and solve a wide variety of environmental projects in the UK and globally. Our successful pioneering work has enabled us to grow and combine forces with other businesses who share our ethos and integrity. At our core, our people are working towards the protection of the environment across the globe.
10/07/2025
Full time
About The Role Do you thrive on turning complex environmental data into compelling insight? Are you ready to lead meaningful projects in a growing team of analysts and scientists? We're looking for a Senior Environmental Data Analyst to join our growing Water Data Science team. This role is ideal for someone who combines strong technical skills with a consultancy mindset-comfortable analysing data, guiding project delivery, and collaborating with internal experts and external clients alike. You'll be involved in a broad portfolio of work across the water sector, using data to assess and manage the effects of abstraction, pollution, habitat quality and climate change on water quality, flow, invertebrates, macrophytes and fish. As a senior member of the team, you'll play a key role in shaping methodologies, mentoring junior staff, and ensuring our analysis translates into clear, confident advice that influences decision-making. To be successful in this role, you'll need: - A BSc or MSc in a relevant subject (e.g. environmental science, data science, hydrology, ecology) - Either a PhD or 3+ years of professional experience in environmental analysis or consultancy - Excellent skills in R, including data wrangling, statistical analysis and visualisation - Experience managing and delivering client-focused technical projects - Excellent written and verbal communication, with a strong focus on clarity and impact - Strong time management and attention to detail. Desirable but not essential: - Experience mentoring or training junior colleagues - Experience with GIS (e.g. ArcGIS or QGIS) or SQL databases - Experience working with regulatory or consultancy clients in the water or environmental sector - Membership of a relevant professional body - A valid UK driving licence This is a fantastic opportunity to take the lead on high-profile, data-driven projects-while being part of a supportive and forward-thinking team that values quality, flexibility and collaboration. You will be offered the chance to work on a variety of projects, many of our employees have worked on projects that have been of personal interest to them. We match this with a commitment to continuous development and learning to support your career. We also offer benefits to look after you, from private medical insurance for all employees, access to mental health first aiders and comprehensive income protection if you cannot work. We also offer superb flexible working options, balancing work with your life. Next steps We are focused on creating a diverse and inclusive team. If you can't tick every box on our job description, then we are still keen to hear from you and are open to supporting your development. That may be working part time or supporting you to gain experience in a specific area - we are a growing company and are able to adapt roles to reflect individual skills. If you think you have what it takes to join our fast-growing business, then please apply immediately on our website. All we need some basic information and your CV, we will review all applications quickly and will respond to all applications. About Us The APEM Group is a global environmental consultancy, we work with a range of clients including large corporations and governments to help them understand and solve a wide variety of environmental projects in the UK and globally. Our successful pioneering work has enabled us to grow and combine forces with other businesses who share our ethos and integrity. At our core, our people are working towards the protection of the environment across the globe.
Senior Marketing Data Analytics Analyst (building MMM's with Python/r) West London based 4 days p/w onsite 1 wfh 6 month contract - Start ASAP (weeks notice) (Apply online only)pd rate inside to Umbrella Senior Marketing Analyst - Senior Marketing Data Analytics Analyst (building MMM's) Looking for someone with minimum 4 years experienced in Marketing Data analyst roles with at least 2 years experience building Marketing Mix Models (mmm's) using regression analysis, Python/r and SQL as well as using data visualisation tools such as Looker/Tableau. If you have additional experience in the media subscription sector such as streaming video services such as VoD/Avod or other subscription services it would be a bonus alternatively consultancies providing MMM would also be of interest. The team are specifically focused on programming strategy, marketing, customer acquisition and retention, partnerships, research, and analytics. looking for an enthusiastic Senior Analyst to join the Analytics & Insights team with expertise in Marketing Analytics. This role will be pivotal in helping us evaluate strategic marketing initiatives to drive acquisition and improve retention for the subscription business. This role will leverage excellent technical, storytelling and communication skills, as well as the ability to work cross-functionally to identify business needs and deliver marketing insights across EMEA. What You Will Do: Drive the development, design and implementation of Marketing Mix Models (MMM), Experimentation and Geo Testing to understand the incremental impact of our marketing investments. Collaborate closely with cross-functional teams including Marketing, Finance and Research to identify key measurement opportunities across markets and build marketing measurement roadmaps. Partner with internal Analytics teams globally on model alignment and on-going development of marketing measurement methodologies. Provide impactful recommendations and strategic guidance on media mix optimisations to influence budget allocation for future marketing campaigns. Liaise closely with third-party media owners and be across past and upcoming media plans. Required Experience Qualifications & Skills: Someone with minimum 4 years experienced in Marketing Data analyst roles with at least 2 years experience building Marketing Mix Models (mmm's) using regression analysis, Python/r and SQL as well as using data visualisation tools such as Looker/Tableau. If you have additional experience in the media subscription sector such as streaming video services such as VoD/Avod or other subscription services it would be a bonus alternatively consultancies providing MMM would also be of interest. Experience as a Marketing Analyst, Data Scientist or similar. Proven experience and strong knowledge of regression analysis Experience building multiple MMM's for at least 2 years, A/B tests and other statistical modelling techniques. Proficiency in Python and/or R. Excellent proficiency in SQL to and working with data warehousing technologies (e.g. Snowflake, Databricks). Ability to use data visualisation tools such as Looker/Tableau. Ability to convert technical outputs into succinct and compelling presentations with clear narrative and actionable recommendations. Strong clarity of communication, able to present to stakeholders. Excellent stakeholder management with proven experience of effectively engaging with senior stakeholders. Everybody is welcome Diversity and Inclusion Statement. PCR Digital "At PCR Digital, we are committed to ensuring that diversity, equity and inclusion play a role at all stages of our recruitment - it is important to us that our own company culture and the culture of our network is as varied and supportive as possible. We love people (it's why we do what we do), so, regardless of background, we welcome you to work with us or apply to any of our jobs if you feel that they are right for you." We also aim to ensure that our entire process is accessible. Please make us aware of any adjustments you may need throughout the selection, interview and general process and we will do all we can to ensure that any barriers are removed for you.
10/07/2025
Contractor
Senior Marketing Data Analytics Analyst (building MMM's with Python/r) West London based 4 days p/w onsite 1 wfh 6 month contract - Start ASAP (weeks notice) (Apply online only)pd rate inside to Umbrella Senior Marketing Analyst - Senior Marketing Data Analytics Analyst (building MMM's) Looking for someone with minimum 4 years experienced in Marketing Data analyst roles with at least 2 years experience building Marketing Mix Models (mmm's) using regression analysis, Python/r and SQL as well as using data visualisation tools such as Looker/Tableau. If you have additional experience in the media subscription sector such as streaming video services such as VoD/Avod or other subscription services it would be a bonus alternatively consultancies providing MMM would also be of interest. The team are specifically focused on programming strategy, marketing, customer acquisition and retention, partnerships, research, and analytics. looking for an enthusiastic Senior Analyst to join the Analytics & Insights team with expertise in Marketing Analytics. This role will be pivotal in helping us evaluate strategic marketing initiatives to drive acquisition and improve retention for the subscription business. This role will leverage excellent technical, storytelling and communication skills, as well as the ability to work cross-functionally to identify business needs and deliver marketing insights across EMEA. What You Will Do: Drive the development, design and implementation of Marketing Mix Models (MMM), Experimentation and Geo Testing to understand the incremental impact of our marketing investments. Collaborate closely with cross-functional teams including Marketing, Finance and Research to identify key measurement opportunities across markets and build marketing measurement roadmaps. Partner with internal Analytics teams globally on model alignment and on-going development of marketing measurement methodologies. Provide impactful recommendations and strategic guidance on media mix optimisations to influence budget allocation for future marketing campaigns. Liaise closely with third-party media owners and be across past and upcoming media plans. Required Experience Qualifications & Skills: Someone with minimum 4 years experienced in Marketing Data analyst roles with at least 2 years experience building Marketing Mix Models (mmm's) using regression analysis, Python/r and SQL as well as using data visualisation tools such as Looker/Tableau. If you have additional experience in the media subscription sector such as streaming video services such as VoD/Avod or other subscription services it would be a bonus alternatively consultancies providing MMM would also be of interest. Experience as a Marketing Analyst, Data Scientist or similar. Proven experience and strong knowledge of regression analysis Experience building multiple MMM's for at least 2 years, A/B tests and other statistical modelling techniques. Proficiency in Python and/or R. Excellent proficiency in SQL to and working with data warehousing technologies (e.g. Snowflake, Databricks). Ability to use data visualisation tools such as Looker/Tableau. Ability to convert technical outputs into succinct and compelling presentations with clear narrative and actionable recommendations. Strong clarity of communication, able to present to stakeholders. Excellent stakeholder management with proven experience of effectively engaging with senior stakeholders. Everybody is welcome Diversity and Inclusion Statement. PCR Digital "At PCR Digital, we are committed to ensuring that diversity, equity and inclusion play a role at all stages of our recruitment - it is important to us that our own company culture and the culture of our network is as varied and supportive as possible. We love people (it's why we do what we do), so, regardless of background, we welcome you to work with us or apply to any of our jobs if you feel that they are right for you." We also aim to ensure that our entire process is accessible. Please make us aware of any adjustments you may need throughout the selection, interview and general process and we will do all we can to ensure that any barriers are removed for you.
Senior Data Scientist (GenAI) required for a London, globally known software business with hybrid working. I am working with a large Global software organisation to join their team in London, where you will be working on developing world-class products and services in a hugely innovative environment. The company: The organisation has been around for over 20 years and has over 1,000 members of staff. They operate across a very specific area of online sales and are a large-scale tech company. They have offices in London and Scotland and are continuing to grow and be productive. They are one of Scotland's best known tech organisations, and they thrive on a positive and welcoming culture, making it one of the best places to work. They are a hybrid organisation and ask all employees to be in office twice a week in London - what days those are, are flexible. You will join a team of 7 Engineers and Scientists to work together to guarantee smooth deployment, monitoring, and scaling of solutions in live production environments. The role: You will be utilising advanced technologies such as GenAI and recommender systems with the goal to enhance this content and build a leading platform for travel discovery. You will lead high-impact initiatives with an experimental approach. You'll be involved in the entire data science lifecycle, from defining problems and exploring data to developing and evaluating models. You will also work closely with engineering teams to ensure the smooth deployment, monitoring, and scaling of solutions in production environments. You will develop and implement advanced Generative AI and recommender system solutions to improve travel content and user experiences. This includes researching LLMs, multimodal models, and content-based filtering to personalise recommendations. As well as this you will be involved in designing evaluation frameworks to ensure content quality and relevance. You will collaborate with cross-functional teams to integrate AI-powered solutions into the Explore platform, optimise models for better content discovery, and support the deployment and maintenance of machine learning models in production. Staying updated on AI advancements; you'll continuously experiment with new methodologies to enhance the user experience. Key skills: Senior Data Scientist experience Commercial experience in Generative AI and recommender systems Strong Python and SQL experience Spark / Apache Airflow LLM experience MLOps experience AWS Additional information: This role offers a strong salary of up to 95,000 (Depending on experience / skill) with hybrid working (2 days per week in office). Additionally, they offer a range of employee benefits including a few different bonuses. This is an opportunity to work with one of the UKs best software businesses so if you think that you could be the right fit and this is the next step in your career, then please apply or contact Matthew MacAlpine at Cathcart Technology on (phone number removed).
09/07/2025
Full time
Senior Data Scientist (GenAI) required for a London, globally known software business with hybrid working. I am working with a large Global software organisation to join their team in London, where you will be working on developing world-class products and services in a hugely innovative environment. The company: The organisation has been around for over 20 years and has over 1,000 members of staff. They operate across a very specific area of online sales and are a large-scale tech company. They have offices in London and Scotland and are continuing to grow and be productive. They are one of Scotland's best known tech organisations, and they thrive on a positive and welcoming culture, making it one of the best places to work. They are a hybrid organisation and ask all employees to be in office twice a week in London - what days those are, are flexible. You will join a team of 7 Engineers and Scientists to work together to guarantee smooth deployment, monitoring, and scaling of solutions in live production environments. The role: You will be utilising advanced technologies such as GenAI and recommender systems with the goal to enhance this content and build a leading platform for travel discovery. You will lead high-impact initiatives with an experimental approach. You'll be involved in the entire data science lifecycle, from defining problems and exploring data to developing and evaluating models. You will also work closely with engineering teams to ensure the smooth deployment, monitoring, and scaling of solutions in production environments. You will develop and implement advanced Generative AI and recommender system solutions to improve travel content and user experiences. This includes researching LLMs, multimodal models, and content-based filtering to personalise recommendations. As well as this you will be involved in designing evaluation frameworks to ensure content quality and relevance. You will collaborate with cross-functional teams to integrate AI-powered solutions into the Explore platform, optimise models for better content discovery, and support the deployment and maintenance of machine learning models in production. Staying updated on AI advancements; you'll continuously experiment with new methodologies to enhance the user experience. Key skills: Senior Data Scientist experience Commercial experience in Generative AI and recommender systems Strong Python and SQL experience Spark / Apache Airflow LLM experience MLOps experience AWS Additional information: This role offers a strong salary of up to 95,000 (Depending on experience / skill) with hybrid working (2 days per week in office). Additionally, they offer a range of employee benefits including a few different bonuses. This is an opportunity to work with one of the UKs best software businesses so if you think that you could be the right fit and this is the next step in your career, then please apply or contact Matthew MacAlpine at Cathcart Technology on (phone number removed).
FULL STACK DEVELOPER LONDON HYBRID 50,000 - 60,000 Our Client, a Top 20 Accountancy firm who have an excellent reputation in their space, are looking for a React/Full Stack Developer to join their team on a permanent, full time basis. This person MUST be experienced in Python , Django and .react They are seeking an experienced Full Stack Developer to join their Transformation team to contribute to the development of innovative products that aim to revolutionise the way auditors and accountants work. This role involves accelerating the creation of the companies core product suite, helping to automate repetitive tasks and enable accountants to focus on data-driven insights and analytics. This position provides a fantastic opportunity to work in a small, focused and confident team, with mentorship from experienced developers and data scientists that will enable you to develop your skills and offers a chance for career progression as the role evolves. Full Stack Developer - Responsibilities Collaborate with a small team of developers, contributing to daily code reviews and merge requests. Develop across the entire product stack, including: Frontend interface Backend API layer Analytics/data processing engine Lead projects independently, from requirements gathering through to deployment. Mentor junior developers to support their technical growth. Solve complex challenges related to data and presentation in accountancy. Full Stack Developer - Experience Required A minimum of 3 years of experience as a full-stack developer, delivering robust production-ready solutions. Proficiency in the following technologies: - Backend: Python, Django - Frontend: JavaScript, React, Next.js - Version control: Git Comfortable working with Python and JavaScript professionally, with experience in Django and React. Ability to build data-intensive applications and manage complex backend logic, including external API integrations. Experience in creating responsive user interfaces that function across browsers and mobile devices. Capable of working independently and taking ownership of technical projects. Strong analytical skills and problem-solving abilities. Effective time management and prioritisation skills under tight deadlines. Bonus Skills & Expertise Experience deploying and managing applications using Azure and Docker. Familiarity with frameworks such as LangChain and expertise in Retrieval-Augmented Generation (RAG) models for AI-driven applications. Proficiency with pandas for data manipulation. Full Stack Developer - What's in it for you? Salary Reviews: Twice a year to recognise your contributions. Generous Annual Leave: Enjoy 25 days plus three days off at Christmas. Flexible Working Comprehensive Wellbeing Support: Access to Digicare+, Employee Assistance Programme, and more! Private Medical Insurance Professional Subscriptions: Invest in your growth and development. Seniority Level Associate Industry Accounting Employment Type Full-time Job Functions Information Technology Skills React.js Django Stack Code Review Data Manipulation Full-Stack Development May & Stephens Ltd is acting as an Employment Agency in relation to this vacancy.
09/07/2025
Full time
FULL STACK DEVELOPER LONDON HYBRID 50,000 - 60,000 Our Client, a Top 20 Accountancy firm who have an excellent reputation in their space, are looking for a React/Full Stack Developer to join their team on a permanent, full time basis. This person MUST be experienced in Python , Django and .react They are seeking an experienced Full Stack Developer to join their Transformation team to contribute to the development of innovative products that aim to revolutionise the way auditors and accountants work. This role involves accelerating the creation of the companies core product suite, helping to automate repetitive tasks and enable accountants to focus on data-driven insights and analytics. This position provides a fantastic opportunity to work in a small, focused and confident team, with mentorship from experienced developers and data scientists that will enable you to develop your skills and offers a chance for career progression as the role evolves. Full Stack Developer - Responsibilities Collaborate with a small team of developers, contributing to daily code reviews and merge requests. Develop across the entire product stack, including: Frontend interface Backend API layer Analytics/data processing engine Lead projects independently, from requirements gathering through to deployment. Mentor junior developers to support their technical growth. Solve complex challenges related to data and presentation in accountancy. Full Stack Developer - Experience Required A minimum of 3 years of experience as a full-stack developer, delivering robust production-ready solutions. Proficiency in the following technologies: - Backend: Python, Django - Frontend: JavaScript, React, Next.js - Version control: Git Comfortable working with Python and JavaScript professionally, with experience in Django and React. Ability to build data-intensive applications and manage complex backend logic, including external API integrations. Experience in creating responsive user interfaces that function across browsers and mobile devices. Capable of working independently and taking ownership of technical projects. Strong analytical skills and problem-solving abilities. Effective time management and prioritisation skills under tight deadlines. Bonus Skills & Expertise Experience deploying and managing applications using Azure and Docker. Familiarity with frameworks such as LangChain and expertise in Retrieval-Augmented Generation (RAG) models for AI-driven applications. Proficiency with pandas for data manipulation. Full Stack Developer - What's in it for you? Salary Reviews: Twice a year to recognise your contributions. Generous Annual Leave: Enjoy 25 days plus three days off at Christmas. Flexible Working Comprehensive Wellbeing Support: Access to Digicare+, Employee Assistance Programme, and more! Private Medical Insurance Professional Subscriptions: Invest in your growth and development. Seniority Level Associate Industry Accounting Employment Type Full-time Job Functions Information Technology Skills React.js Django Stack Code Review Data Manipulation Full-Stack Development May & Stephens Ltd is acting as an Employment Agency in relation to this vacancy.
About Role : As a Data Engineer, you will play a crucial role in designing, developing, and maintaining data architecture and infrastructure. The successful candidate should possess a strong foundation in Python, Pyspark, SQL, and ETL processes, with a demonstrated ability to implement solutions in a cloud environment. Position - Senior Data Engineer Experience - 6+ yrs Location - London Job Type - Hybrid, Permanent Mandatory Skills : Design, build, maintain data pipelines using Python, Pyspark and SQL Develop and maintain ETL processes to move data from various data sources to our data warehouse on AWS/AZURE/GCP . Collaborate with data scientists, business analysts to understand their data needs & develop solutions that meet their requirements. Develop & maintain data models and data dictionaries for our data warehouse. Develop & maintain documentation for our data pipelines and data warehouse. Continuously improve the performance and scalability of our data solutions. Qualifications : Minimum 6+ years of Total experience. At least 4 years of Hands on Experience using The Mandatory skills - Python, Pyspark, SQL.
08/07/2025
Full time
About Role : As a Data Engineer, you will play a crucial role in designing, developing, and maintaining data architecture and infrastructure. The successful candidate should possess a strong foundation in Python, Pyspark, SQL, and ETL processes, with a demonstrated ability to implement solutions in a cloud environment. Position - Senior Data Engineer Experience - 6+ yrs Location - London Job Type - Hybrid, Permanent Mandatory Skills : Design, build, maintain data pipelines using Python, Pyspark and SQL Develop and maintain ETL processes to move data from various data sources to our data warehouse on AWS/AZURE/GCP . Collaborate with data scientists, business analysts to understand their data needs & develop solutions that meet their requirements. Develop & maintain data models and data dictionaries for our data warehouse. Develop & maintain documentation for our data pipelines and data warehouse. Continuously improve the performance and scalability of our data solutions. Qualifications : Minimum 6+ years of Total experience. At least 4 years of Hands on Experience using The Mandatory skills - Python, Pyspark, SQL.
Mars Wrigley Confectionery UK (SLO, WAL, ISB & PAD)
Maidenhead, Berkshire
Job Description: We are seeking a highly skilled Data Architect for Gen AI Engineering to lead the design and implementation of robust data architectures that support our generative AI initiatives across various business functions, including Marketing, Product Development, and Customer Insights. This role is transformation-funded and therefore has an expected end date of 31st December 2026. What are we looking for? A seasoned data architect with 8+ years of experience in data architecture and engineering, specifically in the context of generative AI and machine learning applications. Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering innovative data solutions that align with business objectives. What will be your key responsibilities? Lead the architectural design and implementation of data solutions that enable generative AI capabilities, ensuring they meet performance, scalability, and security requirements. Collaborate with data scientists, engineers, and business stakeholders to define data strategies and roadmaps that support AI-driven initiatives. Establish best practices for data architecture, including data quality, governance, and compliance, while promoting a culture of innovation and continuous improvement. Provide technical guidance and mentorship to team members, fostering their professional growth and enhancing their data engineering skills. Engage with external partners and vendors to evaluate new technologies and tools that can enhance our data architecture capabilities and drive business value. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
06/07/2025
Full time
Job Description: We are seeking a highly skilled Data Architect for Gen AI Engineering to lead the design and implementation of robust data architectures that support our generative AI initiatives across various business functions, including Marketing, Product Development, and Customer Insights. This role is transformation-funded and therefore has an expected end date of 31st December 2026. What are we looking for? A seasoned data architect with 8+ years of experience in data architecture and engineering, specifically in the context of generative AI and machine learning applications. Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering innovative data solutions that align with business objectives. What will be your key responsibilities? Lead the architectural design and implementation of data solutions that enable generative AI capabilities, ensuring they meet performance, scalability, and security requirements. Collaborate with data scientists, engineers, and business stakeholders to define data strategies and roadmaps that support AI-driven initiatives. Establish best practices for data architecture, including data quality, governance, and compliance, while promoting a culture of innovation and continuous improvement. Provide technical guidance and mentorship to team members, fostering their professional growth and enhancing their data engineering skills. Engage with external partners and vendors to evaluate new technologies and tools that can enhance our data architecture capabilities and drive business value. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
Mars Wrigley Confectionery UK (SLO, WAL, ISB & PAD)
Windsor, Berkshire
Job Description: We are seeking a highly skilled Data Architect for Gen AI Engineering to lead the design and implementation of robust data architectures that support our generative AI initiatives across various business functions, including Marketing, Product Development, and Customer Insights. This role is transformation-funded and therefore has an expected end date of 31st December 2026. What are we looking for? A seasoned data architect with 8+ years of experience in data architecture and engineering, specifically in the context of generative AI and machine learning applications. Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering innovative data solutions that align with business objectives. What will be your key responsibilities? Lead the architectural design and implementation of data solutions that enable generative AI capabilities, ensuring they meet performance, scalability, and security requirements. Collaborate with data scientists, engineers, and business stakeholders to define data strategies and roadmaps that support AI-driven initiatives. Establish best practices for data architecture, including data quality, governance, and compliance, while promoting a culture of innovation and continuous improvement. Provide technical guidance and mentorship to team members, fostering their professional growth and enhancing their data engineering skills. Engage with external partners and vendors to evaluate new technologies and tools that can enhance our data architecture capabilities and drive business value. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
06/07/2025
Full time
Job Description: We are seeking a highly skilled Data Architect for Gen AI Engineering to lead the design and implementation of robust data architectures that support our generative AI initiatives across various business functions, including Marketing, Product Development, and Customer Insights. This role is transformation-funded and therefore has an expected end date of 31st December 2026. What are we looking for? A seasoned data architect with 8+ years of experience in data architecture and engineering, specifically in the context of generative AI and machine learning applications. Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering innovative data solutions that align with business objectives. What will be your key responsibilities? Lead the architectural design and implementation of data solutions that enable generative AI capabilities, ensuring they meet performance, scalability, and security requirements. Collaborate with data scientists, engineers, and business stakeholders to define data strategies and roadmaps that support AI-driven initiatives. Establish best practices for data architecture, including data quality, governance, and compliance, while promoting a culture of innovation and continuous improvement. Provide technical guidance and mentorship to team members, fostering their professional growth and enhancing their data engineering skills. Engage with external partners and vendors to evaluate new technologies and tools that can enhance our data architecture capabilities and drive business value. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
Mars Wrigley Confectionery UK (SLO, WAL, ISB & PAD)
Slough, Berkshire
Job Description: We are seeking a highly skilled Data Architect for Gen AI Engineering to lead the design and implementation of robust data architectures that support our generative AI initiatives across various business functions, including Marketing, Product Development, and Customer Insights. This role is transformation-funded and therefore has an expected end date of 31st December 2026. What are we looking for? A seasoned data architect with 8+ years of experience in data architecture and engineering, specifically in the context of generative AI and machine learning applications. Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering innovative data solutions that align with business objectives. What will be your key responsibilities? Lead the architectural design and implementation of data solutions that enable generative AI capabilities, ensuring they meet performance, scalability, and security requirements. Collaborate with data scientists, engineers, and business stakeholders to define data strategies and roadmaps that support AI-driven initiatives. Establish best practices for data architecture, including data quality, governance, and compliance, while promoting a culture of innovation and continuous improvement. Provide technical guidance and mentorship to team members, fostering their professional growth and enhancing their data engineering skills. Engage with external partners and vendors to evaluate new technologies and tools that can enhance our data architecture capabilities and drive business value. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
06/07/2025
Full time
Job Description: We are seeking a highly skilled Data Architect for Gen AI Engineering to lead the design and implementation of robust data architectures that support our generative AI initiatives across various business functions, including Marketing, Product Development, and Customer Insights. This role is transformation-funded and therefore has an expected end date of 31st December 2026. What are we looking for? A seasoned data architect with 8+ years of experience in data architecture and engineering, specifically in the context of generative AI and machine learning applications. Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering innovative data solutions that align with business objectives. What will be your key responsibilities? Lead the architectural design and implementation of data solutions that enable generative AI capabilities, ensuring they meet performance, scalability, and security requirements. Collaborate with data scientists, engineers, and business stakeholders to define data strategies and roadmaps that support AI-driven initiatives. Establish best practices for data architecture, including data quality, governance, and compliance, while promoting a culture of innovation and continuous improvement. Provide technical guidance and mentorship to team members, fostering their professional growth and enhancing their data engineering skills. Engage with external partners and vendors to evaluate new technologies and tools that can enhance our data architecture capabilities and drive business value. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
Job Description Data Technical Specialist - Submarines Full Time Derby, Raynesway We are seeking a talented and highly motivated Senior Data Engineering specialist to join our Central Digital team. As a Data Technical Specialist, you will be recognised as an authoritative source of technical expertise and advice within the business for Data and viewed as a key member of the broader team of technical expertise by senior leadership. You will be responsible for defining data management policies and procedures that ensure that data is properly collected, stored, maintained, and utilised, in line with the business strategy. This incorporates defining and managing data governance, quality, and retention policies. You will be responsible for designing, building and maintaining data pipelines and architecture that empowers data-driven decisions across the organisation. You will work closely with the cross-functional teams, including data engineers, data scientist, product teams to ensure data is seamlessly integrated, transformed and accessible for analytical and operational purpose. You will have depth and/or breadth of knowledge in technical data management. Why Rolls-Royce? Rolls-Royce is one of the most enduring and iconic brands in the world and has been at the forefront of innovation for over a century. We design, build and service systems that provide critical power to customers where safety and reliability are paramount. We are proud to be a force for progress, powering, protecting and connecting people everywhere. We want to ensure that the excellence and ingenuity that has shaped our history continues into our future and we need people like you to come and join us on this journey. We'll provide an environment of caring and belonging where you can be yourself. An inclusive, innovative culture that invests in you, gives you access to an incredible breadth and depth of opportunities where you can grow your career and make a difference. What we offer We offer excellent development opportunities, a competitive salary, and exceptional benefits. These include bonus, employee support assistance and employee discounts. Your needs are as unique as you are. Hybrid working is a way in which our people can balance their time between the office, home, or another remote location. It's a locally managed and flexed informal discretionary arrangement. As a minimum we're all expected to attend the workplace for collaboration and other specific reasons, on average three days per week. What you will be doing Lead and manage data integration, ETL and conversion areas of planning, coordination, and meeting customer expectations.Leads the resolution of new and emerging technical, compliance and business problems using analytical processes and professional judgement.Serve as a lead regarding complex data issues and resolution.Oversee the entire conversion process for information transfers from paper to an electronic data system.Ensures appropriate policies, standards and best practices are defined, shared and adopted.Proactively accesses internal and external networks of fellow specialists to further the understanding of the specialist subject; supports the implementation of strategic collaborative relationships.Provides technical direction to peers and more junior professionals, and technical leadership to teams and projects within their specialism.Leads the sharing of Best Practice; represents the area as an authority in their defined subject; provides concise justification for decisions; records and captures salient information in reports and systems.Research data sources to verify the validity of the information and be responsible for designing for solutions for a specific customer to use.Generate, resolve and track queries to address problematic data identified during data review activities and apply proper modification / correction to the database.Troubleshoot and offer solutions based on the technical project's needs.Increase the breadth and quality of data that is tracked, monitored and analysed for both internal use and customer reporting.Supports the development and application of new data capabilities; leads capability development projects.Ensure data security and privacy protocols are adhered to by applying appropriate measures to safeguard sensitive information. Who we're looking for: At Rolls-Royce we put safety first, do the right thing, keep it simple and make a difference. These principles form the behaviours that guide us and are an essential component of our assessment process. They are the fundamental qualities that we seek for all roles. Degree level education in Mathematics, Scientific, Computing or Engineering discipline or equivalent experienceExperience at various levels of Software /Data Engineering roles delivering end to end data pipelines Good understanding of infrastructure components and their fit in different types of data solutionsA deep understanding of specialist subject and proven ability to influence key decisions Understanding of Intellectual Property and Export Control requirementsBe up to date with data processing technology / platforms such as Spark, PowerBI, and Tableau.Ability to craft data pipelines using scripting and automation languages.Experience of working in an agile environment, within a self-organising team.Experience with ETL and/or data integration toolsMember of a relevant professional body/instituteUK CEng (Chartered Engineer) or other national equivalent relevant to specialist subject area We are an equal opportunities employer. We're committed to developing a diverse workforce and an inclusive working environment. We believe that people from different backgrounds and cultures give us different perspectives which are crucial to innovation and problem solving. We believe the more diverse perspectives we have, the more successful we'll be. By building a culture of caring and belonging, we give everyone who works here the opportunity to realise their full potential. We welcome applications from people with a refugee background. You can learn more about our global Inclusion strategy at Our people Rolls-Royce To work for the Rolls-Royce Submarines business an individual has to hold a Security Check clearance. Rolls-Royce will support the application for Security Clearance if you do not currently already have this in place. Due to the nature of work the business conducts and the protection of certain assets we can only progress applications from individuals who are a UK national or, in MoD approved cases, a dual national. Closing date: Job Category Software Systems Posting Date 04 Jul 2025; 00:07 Posting End Date 20 Jul 2025PandoLogic.
06/07/2025
Full time
Job Description Data Technical Specialist - Submarines Full Time Derby, Raynesway We are seeking a talented and highly motivated Senior Data Engineering specialist to join our Central Digital team. As a Data Technical Specialist, you will be recognised as an authoritative source of technical expertise and advice within the business for Data and viewed as a key member of the broader team of technical expertise by senior leadership. You will be responsible for defining data management policies and procedures that ensure that data is properly collected, stored, maintained, and utilised, in line with the business strategy. This incorporates defining and managing data governance, quality, and retention policies. You will be responsible for designing, building and maintaining data pipelines and architecture that empowers data-driven decisions across the organisation. You will work closely with the cross-functional teams, including data engineers, data scientist, product teams to ensure data is seamlessly integrated, transformed and accessible for analytical and operational purpose. You will have depth and/or breadth of knowledge in technical data management. Why Rolls-Royce? Rolls-Royce is one of the most enduring and iconic brands in the world and has been at the forefront of innovation for over a century. We design, build and service systems that provide critical power to customers where safety and reliability are paramount. We are proud to be a force for progress, powering, protecting and connecting people everywhere. We want to ensure that the excellence and ingenuity that has shaped our history continues into our future and we need people like you to come and join us on this journey. We'll provide an environment of caring and belonging where you can be yourself. An inclusive, innovative culture that invests in you, gives you access to an incredible breadth and depth of opportunities where you can grow your career and make a difference. What we offer We offer excellent development opportunities, a competitive salary, and exceptional benefits. These include bonus, employee support assistance and employee discounts. Your needs are as unique as you are. Hybrid working is a way in which our people can balance their time between the office, home, or another remote location. It's a locally managed and flexed informal discretionary arrangement. As a minimum we're all expected to attend the workplace for collaboration and other specific reasons, on average three days per week. What you will be doing Lead and manage data integration, ETL and conversion areas of planning, coordination, and meeting customer expectations.Leads the resolution of new and emerging technical, compliance and business problems using analytical processes and professional judgement.Serve as a lead regarding complex data issues and resolution.Oversee the entire conversion process for information transfers from paper to an electronic data system.Ensures appropriate policies, standards and best practices are defined, shared and adopted.Proactively accesses internal and external networks of fellow specialists to further the understanding of the specialist subject; supports the implementation of strategic collaborative relationships.Provides technical direction to peers and more junior professionals, and technical leadership to teams and projects within their specialism.Leads the sharing of Best Practice; represents the area as an authority in their defined subject; provides concise justification for decisions; records and captures salient information in reports and systems.Research data sources to verify the validity of the information and be responsible for designing for solutions for a specific customer to use.Generate, resolve and track queries to address problematic data identified during data review activities and apply proper modification / correction to the database.Troubleshoot and offer solutions based on the technical project's needs.Increase the breadth and quality of data that is tracked, monitored and analysed for both internal use and customer reporting.Supports the development and application of new data capabilities; leads capability development projects.Ensure data security and privacy protocols are adhered to by applying appropriate measures to safeguard sensitive information. Who we're looking for: At Rolls-Royce we put safety first, do the right thing, keep it simple and make a difference. These principles form the behaviours that guide us and are an essential component of our assessment process. They are the fundamental qualities that we seek for all roles. Degree level education in Mathematics, Scientific, Computing or Engineering discipline or equivalent experienceExperience at various levels of Software /Data Engineering roles delivering end to end data pipelines Good understanding of infrastructure components and their fit in different types of data solutionsA deep understanding of specialist subject and proven ability to influence key decisions Understanding of Intellectual Property and Export Control requirementsBe up to date with data processing technology / platforms such as Spark, PowerBI, and Tableau.Ability to craft data pipelines using scripting and automation languages.Experience of working in an agile environment, within a self-organising team.Experience with ETL and/or data integration toolsMember of a relevant professional body/instituteUK CEng (Chartered Engineer) or other national equivalent relevant to specialist subject area We are an equal opportunities employer. We're committed to developing a diverse workforce and an inclusive working environment. We believe that people from different backgrounds and cultures give us different perspectives which are crucial to innovation and problem solving. We believe the more diverse perspectives we have, the more successful we'll be. By building a culture of caring and belonging, we give everyone who works here the opportunity to realise their full potential. We welcome applications from people with a refugee background. You can learn more about our global Inclusion strategy at Our people Rolls-Royce To work for the Rolls-Royce Submarines business an individual has to hold a Security Check clearance. Rolls-Royce will support the application for Security Clearance if you do not currently already have this in place. Due to the nature of work the business conducts and the protection of certain assets we can only progress applications from individuals who are a UK national or, in MoD approved cases, a dual national. Closing date: Job Category Software Systems Posting Date 04 Jul 2025; 00:07 Posting End Date 20 Jul 2025PandoLogic.
Mars Wrigley Confectionery UK (SLO, WAL, ISB & PAD)
Windsor, Berkshire
Job Description: We are seeking a highly skilled Data Architect for Gen AI Engineering to lead the design and implementation of robust data architectures that support our generative AI initiatives across various business functions, including Marketing, Product Development, and Customer Insights. This role is transformation-funded and therefore has an expected end date of 31st December 2026. What are we looking for? A seasoned data architect with 8+ years of experience in data architecture and engineering, specifically in the context of generative AI and machine learning applications. Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering innovative data solutions that align with business objectives. What will be your key responsibilities? Lead the architectural design and implementation of data solutions that enable generative AI capabilities, ensuring they meet performance, scalability, and security requirements. Collaborate with data scientists, engineers, and business stakeholders to define data strategies and roadmaps that support AI-driven initiatives. Establish best practices for data architecture, including data quality, governance, and compliance, while promoting a culture of innovation and continuous improvement. Provide technical guidance and mentorship to team members, fostering their professional growth and enhancing their data engineering skills. Engage with external partners and vendors to evaluate new technologies and tools that can enhance our data architecture capabilities and drive business value. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
06/07/2025
Full time
Job Description: We are seeking a highly skilled Data Architect for Gen AI Engineering to lead the design and implementation of robust data architectures that support our generative AI initiatives across various business functions, including Marketing, Product Development, and Customer Insights. This role is transformation-funded and therefore has an expected end date of 31st December 2026. What are we looking for? A seasoned data architect with 8+ years of experience in data architecture and engineering, specifically in the context of generative AI and machine learning applications. Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering innovative data solutions that align with business objectives. What will be your key responsibilities? Lead the architectural design and implementation of data solutions that enable generative AI capabilities, ensuring they meet performance, scalability, and security requirements. Collaborate with data scientists, engineers, and business stakeholders to define data strategies and roadmaps that support AI-driven initiatives. Establish best practices for data architecture, including data quality, governance, and compliance, while promoting a culture of innovation and continuous improvement. Provide technical guidance and mentorship to team members, fostering their professional growth and enhancing their data engineering skills. Engage with external partners and vendors to evaluate new technologies and tools that can enhance our data architecture capabilities and drive business value. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
Mars Wrigley Confectionery UK (SLO, WAL, ISB & PAD)
Maidenhead, Berkshire
Job Description: We are seeking a highly skilled Data Architect for Gen AI Engineering to lead the design and implementation of robust data architectures that support our generative AI initiatives across various business functions, including Marketing, Product Development, and Customer Insights. This role is transformation-funded and therefore has an expected end date of 31st December 2026. What are we looking for? A seasoned data architect with 8+ years of experience in data architecture and engineering, specifically in the context of generative AI and machine learning applications. Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering innovative data solutions that align with business objectives. What will be your key responsibilities? Lead the architectural design and implementation of data solutions that enable generative AI capabilities, ensuring they meet performance, scalability, and security requirements. Collaborate with data scientists, engineers, and business stakeholders to define data strategies and roadmaps that support AI-driven initiatives. Establish best practices for data architecture, including data quality, governance, and compliance, while promoting a culture of innovation and continuous improvement. Provide technical guidance and mentorship to team members, fostering their professional growth and enhancing their data engineering skills. Engage with external partners and vendors to evaluate new technologies and tools that can enhance our data architecture capabilities and drive business value. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
06/07/2025
Full time
Job Description: We are seeking a highly skilled Data Architect for Gen AI Engineering to lead the design and implementation of robust data architectures that support our generative AI initiatives across various business functions, including Marketing, Product Development, and Customer Insights. This role is transformation-funded and therefore has an expected end date of 31st December 2026. What are we looking for? A seasoned data architect with 8+ years of experience in data architecture and engineering, specifically in the context of generative AI and machine learning applications. Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering innovative data solutions that align with business objectives. What will be your key responsibilities? Lead the architectural design and implementation of data solutions that enable generative AI capabilities, ensuring they meet performance, scalability, and security requirements. Collaborate with data scientists, engineers, and business stakeholders to define data strategies and roadmaps that support AI-driven initiatives. Establish best practices for data architecture, including data quality, governance, and compliance, while promoting a culture of innovation and continuous improvement. Provide technical guidance and mentorship to team members, fostering their professional growth and enhancing their data engineering skills. Engage with external partners and vendors to evaluate new technologies and tools that can enhance our data architecture capabilities and drive business value. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
Mars Wrigley Confectionery UK (SLO, WAL, ISB & PAD)
Slough, Berkshire
Job Description: We are seeking a highly skilled Data Architect for Gen AI Engineering to lead the design and implementation of robust data architectures that support our generative AI initiatives across various business functions, including Marketing, Product Development, and Customer Insights. This role is transformation-funded and therefore has an expected end date of 31st December 2026. What are we looking for? A seasoned data architect with 8+ years of experience in data architecture and engineering, specifically in the context of generative AI and machine learning applications. Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering innovative data solutions that align with business objectives. What will be your key responsibilities? Lead the architectural design and implementation of data solutions that enable generative AI capabilities, ensuring they meet performance, scalability, and security requirements. Collaborate with data scientists, engineers, and business stakeholders to define data strategies and roadmaps that support AI-driven initiatives. Establish best practices for data architecture, including data quality, governance, and compliance, while promoting a culture of innovation and continuous improvement. Provide technical guidance and mentorship to team members, fostering their professional growth and enhancing their data engineering skills. Engage with external partners and vendors to evaluate new technologies and tools that can enhance our data architecture capabilities and drive business value. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
06/07/2025
Full time
Job Description: We are seeking a highly skilled Data Architect for Gen AI Engineering to lead the design and implementation of robust data architectures that support our generative AI initiatives across various business functions, including Marketing, Product Development, and Customer Insights. This role is transformation-funded and therefore has an expected end date of 31st December 2026. What are we looking for? A seasoned data architect with 8+ years of experience in data architecture and engineering, specifically in the context of generative AI and machine learning applications. Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering innovative data solutions that align with business objectives. What will be your key responsibilities? Lead the architectural design and implementation of data solutions that enable generative AI capabilities, ensuring they meet performance, scalability, and security requirements. Collaborate with data scientists, engineers, and business stakeholders to define data strategies and roadmaps that support AI-driven initiatives. Establish best practices for data architecture, including data quality, governance, and compliance, while promoting a culture of innovation and continuous improvement. Provide technical guidance and mentorship to team members, fostering their professional growth and enhancing their data engineering skills. Engage with external partners and vendors to evaluate new technologies and tools that can enhance our data architecture capabilities and drive business value. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
Senior AI Data Scientist London - 4 Days on-site 65,000 - 110,000 DOE + Generous Equity + Unlimited Holiday This is an excellent opportunity for a Senior Data Scientist with previous start-up experience to join a rapidly growing start-up, where you will focus on analytics and modelling to interpret data. This company is a platform designed to simplify the hiring process for businesses and enable individuals to find flexible work opportunities. By connecting businesses with skilled professionals for short-term staffing needs, this innovative solution optimises workforce efficiency. In this varied role you will leverage your data science expertise to drive positive business impact, demonstrating experience in data preparation. You will use machine learning tools and statistical techniques to solve business problems and collaborate with non-technical experts to propose data-driven solutions. You will confidently present complex subjects to non-technical and technical stakeholders. The ideal candidate will possess a minimum of 2+ years of experience building AI models in Python within a start-up environment or leading Tech company. It is also crucial to demonstrate academic excellence in the past, whether that be a degree from a Russel Group University or have attended an internship at a leading Tech company. Proficiency in Python AI libraries is essential, with preferred expertise in demand prediction, computer vision, or optimisation. Familiarity with the AWS cloud platform, particularly its AI/ML services (SageMaker and Lambda) and related data processing tools, is also required. This is a fantastic opportunity for a Senior Data Scientist to join a company at an exciting time of growth, within a role offering a great benefits package and collaborative working environment. The Role: Leverage data science for business impact. Apply machine learning and statistical techniques. Collaborate with nontechnical experts for solutions. Present complex data to diverse stakeholders. 4 Days onsite, 1 day WFH The Person: 2+ years AI model building in Python. Proficient as a Data Scientist with knowledge of Python AI libraries. Expertise in demand prediction, computer vision, or optimisation (preferred). Familiarity with AWS AI/ML services (SageMaker, Lambda). Academic Excellence (Russel Group University or Internship at a leading Tech company) Reference Number: BBBH(phone number removed) To apply for this role or for to be considered for further roles, please click "Apply Now" or contact Tom McLaughlin at Rise Technical Recruitment This vacancy is being advertised by Rise Technical Recruitment Ltd. The services of Rise Technical Recruitment Ltd are that of an Employment Agency Rise Technical Recruitment Ltd regrets to inform that our client can only accept applications from engineering candidates who have a valid legal permit or right to work in the United Kingdom. Potential candidates who do not have this right or permit, or are pending an application to obtain this right or permit should not apply as your details will not be processed.
04/07/2025
Full time
Senior AI Data Scientist London - 4 Days on-site 65,000 - 110,000 DOE + Generous Equity + Unlimited Holiday This is an excellent opportunity for a Senior Data Scientist with previous start-up experience to join a rapidly growing start-up, where you will focus on analytics and modelling to interpret data. This company is a platform designed to simplify the hiring process for businesses and enable individuals to find flexible work opportunities. By connecting businesses with skilled professionals for short-term staffing needs, this innovative solution optimises workforce efficiency. In this varied role you will leverage your data science expertise to drive positive business impact, demonstrating experience in data preparation. You will use machine learning tools and statistical techniques to solve business problems and collaborate with non-technical experts to propose data-driven solutions. You will confidently present complex subjects to non-technical and technical stakeholders. The ideal candidate will possess a minimum of 2+ years of experience building AI models in Python within a start-up environment or leading Tech company. It is also crucial to demonstrate academic excellence in the past, whether that be a degree from a Russel Group University or have attended an internship at a leading Tech company. Proficiency in Python AI libraries is essential, with preferred expertise in demand prediction, computer vision, or optimisation. Familiarity with the AWS cloud platform, particularly its AI/ML services (SageMaker and Lambda) and related data processing tools, is also required. This is a fantastic opportunity for a Senior Data Scientist to join a company at an exciting time of growth, within a role offering a great benefits package and collaborative working environment. The Role: Leverage data science for business impact. Apply machine learning and statistical techniques. Collaborate with nontechnical experts for solutions. Present complex data to diverse stakeholders. 4 Days onsite, 1 day WFH The Person: 2+ years AI model building in Python. Proficient as a Data Scientist with knowledge of Python AI libraries. Expertise in demand prediction, computer vision, or optimisation (preferred). Familiarity with AWS AI/ML services (SageMaker, Lambda). Academic Excellence (Russel Group University or Internship at a leading Tech company) Reference Number: BBBH(phone number removed) To apply for this role or for to be considered for further roles, please click "Apply Now" or contact Tom McLaughlin at Rise Technical Recruitment This vacancy is being advertised by Rise Technical Recruitment Ltd. The services of Rise Technical Recruitment Ltd are that of an Employment Agency Rise Technical Recruitment Ltd regrets to inform that our client can only accept applications from engineering candidates who have a valid legal permit or right to work in the United Kingdom. Potential candidates who do not have this right or permit, or are pending an application to obtain this right or permit should not apply as your details will not be processed.
Job Title: AI Research Engineer
Location: Cambridge, UK
Salary: Competitive, depending on experience
Job Type: Full-time | Permanent
Department: Artificial Intelligence / Research & Development
Role Overview
We are looking for a talented and driven AI Research Engineer to join our growing team in Cambridge. This role is ideal for individuals with a strong foundation in machine learning or data science who are passionate about advancing AI technologies and applying them to real-world challenges. You will work on cutting-edge research and development projects, contributing to both theoretical innovation and practical deployment.
Education
Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, or a related technical field.
Minimum academic requirement: 2:1 or above in undergraduate degree and AAB or higher at A-level (or international equivalent).
We would consider data science backgrounds with relevant experience.
A degree from a globally recognized institution (Top 200 Global Universities) is required.
Required Skills and Qualifications
Strong analytical and problem-solving skills with a scientific approach to experimentation.
Proficiency in data science and machine learning workflows, including data handling, model training, and evaluation.
Solid understanding of software engineering practices, particularly in the context of ML development.
Hands-on experience with Python and ML libraries such as PyTorch, TensorFlow, and Scikit-learn.
Familiarity with tools like Git, Docker, and cloud platforms (e.g., AWS, GCP, Azure).
Qualifications (Preferred for Senior Roles)
Expertise in advanced ML areas such as Transformers, LLMs, NER, GANs, Reinforcement Learning, or Multimodal AI.
Academic or industry experience in fields like Natural Language Processing, Computer Vision, or Deep Learning.
For senior candidates, must have written publications in peer-reviewed journals or conferences (e.g., NeurIPS, ICML, ACL, CVPR).
Demonstrated impact in a commercial or applied research setting.
Experience mentoring junior engineers or leading research initiatives.
About Adecco:
Adecco operates as an Employment Agency and is an equal opportunities employer.
We are on the client's supplier list for this role.
Keywords
AI Research, Machine Learning Engineer, NLP, Computer Vision, Deep Learning, PyTorch, TensorFlow, LLMs, Transformers, GANs, Reinforcement Learning, Data Science, Python, Cambridge AI Jobs, Applied AI, Research Scientist, Artificial Intelligence, ML Research, AI Innovation
01/06/2025
Job Title: AI Research Engineer
Location: Cambridge, UK
Salary: Competitive, depending on experience
Job Type: Full-time | Permanent
Department: Artificial Intelligence / Research & Development
Role Overview
We are looking for a talented and driven AI Research Engineer to join our growing team in Cambridge. This role is ideal for individuals with a strong foundation in machine learning or data science who are passionate about advancing AI technologies and applying them to real-world challenges. You will work on cutting-edge research and development projects, contributing to both theoretical innovation and practical deployment.
Education
Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, or a related technical field.
Minimum academic requirement: 2:1 or above in undergraduate degree and AAB or higher at A-level (or international equivalent).
We would consider data science backgrounds with relevant experience.
A degree from a globally recognized institution (Top 200 Global Universities) is required.
Required Skills and Qualifications
Strong analytical and problem-solving skills with a scientific approach to experimentation.
Proficiency in data science and machine learning workflows, including data handling, model training, and evaluation.
Solid understanding of software engineering practices, particularly in the context of ML development.
Hands-on experience with Python and ML libraries such as PyTorch, TensorFlow, and Scikit-learn.
Familiarity with tools like Git, Docker, and cloud platforms (e.g., AWS, GCP, Azure).
Qualifications (Preferred for Senior Roles)
Expertise in advanced ML areas such as Transformers, LLMs, NER, GANs, Reinforcement Learning, or Multimodal AI.
Academic or industry experience in fields like Natural Language Processing, Computer Vision, or Deep Learning.
For senior candidates, must have written publications in peer-reviewed journals or conferences (e.g., NeurIPS, ICML, ACL, CVPR).
Demonstrated impact in a commercial or applied research setting.
Experience mentoring junior engineers or leading research initiatives.
About Adecco:
Adecco operates as an Employment Agency and is an equal opportunities employer.
We are on the client's supplier list for this role.
Keywords
AI Research, Machine Learning Engineer, NLP, Computer Vision, Deep Learning, PyTorch, TensorFlow, LLMs, Transformers, GANs, Reinforcement Learning, Data Science, Python, Cambridge AI Jobs, Applied AI, Research Scientist, Artificial Intelligence, ML Research, AI Innovation
Company Description
Genomics England partners with the NHS to provide whole genome sequencing diagnostics. We also equip researchers to find the causes of disease and develop new treatments – with patients and participants at the heart of it all.
Our mission is to continue refining, scaling, and evolving our ability to enable others to deliver genomic healthcare and conduct genomic research.
We are accelerating our impact and working with patients, doctors, scientists, government and industry to improve genomic testing, and help researchers access the health data and technology they need to make new medical discoveries and create more effective, targeted medicines for everybody.
Job Description
Are you passionate about solving complex quality-assurance challenges with test-automation throughout the SDLC, and at all levels of the test pyramid? As a Senior QA Engineer in the new Test Enablement team, you'll have the opportunity to work with your peers in product teams to help them solve their quality-assurance challenges.
You will build reusable testing tools and automation, help to make strategic tooling choices, establish quality-assurance Golden Paths, and work towards maturing our testing practices across the organisation. You will look at the big picture problems that come with testing complex, distributed applications in a regulated industry, and you will work to improve the reliability and speed of our software delivery through accelerated and optimised testing.
In this role, you’ll work in partnership with engineers in product squads to test and evolve common solutions. You will experiment with alternative strategies for solving problems and use data and analysis to make decisions. You will be highly confident engaging with subject matter experts and engineering leadership. You will be a curious and engaged listener, seeking to understand the root cause of testing challenges, but you will also be confident in challenging assumptions and promoting best practice. You will be actively tracking the latest developments in testing tools and techniques, always looking to learn and to bring new ideas to the business. You are confident engaging with a range of stakeholders to understand organisational needs and bring them back to the team for consideration.
Everyday responsibilities include:
Work with the rest of the Test Enablement team to identify areas of greatest need where the team can have the greatest impact
Collaborate with QA engineers in product squads to help them raise the bar in their testing practices
Explore different approaches to testing challenges, explore options and be able to identify the strengths and weaknesses of them
Create templates, tools and Golden Paths that encapsulate best practice for use deployment the organisation
Act as a trusted mentor, coach and guide to your colleagues in the team and beyond
Lead on key decisions in a collaborative and inclusive environment that values diverse perspectives
Advocate for the need to rethink and improve Quality Assurance to better serve the needs of the business and improve speed and reliability of releasesEssential skills and experience:
Python
Java
Selenium WebDriver
Unit Test frameworks (e.g. Pytest)
API testing (e.g. REST-assured, Postman)
BDD frameworks (e.g. Cucumber, Pytest-bdd, Behave)
Agile testing
CI/CD tools (GitLab/Jenkins)
Load/Performance testing (e.g. JMeter, Locust)
Experience of Test Process Improvement and Test StrategyDesirable skills and experience:
Other UI testing tools (e.g. Playwright, Cypress)
Contract testing (e.g. PACT)
Mock APIs (e.g. WireMock)
Browser compatibility tools (e.g. BrowserStack)
Test management tools (e.g. Jira X-ray)
Accessibility testing tools (e.g. Axe-core)
Security testing tools (e.g. Snyk, OWASP Zap)
AWS
Experience working in a regulated environment
Qualifications
Only relevant work experience - no particular qualifications are required
Additional Information
Salary from: £55,500
Being an integral part of such a meaningful mission is extremely rewarding in itself, but in order to support our people, we’re continually improving our benefits package. We pride ourselves on investing in our people and supporting them to achieve their career goals, as well as offering a benefits package including:
Generous Leave: 30 days’ holiday plus bank holidays, additional leave for long service, and the option to apply for up to 30 days of remote working abroad annually (approval required).
Family-Friendly: Blended working arrangements, flexible working, enhanced maternity, paternity and shared parental leave benefits.
Pension & Financial: Defined contribution pension (Genomics England double-matches up to 10%, however you can contribute more if you wish), Life Assurance (3x salary), and a Give As You Earn scheme.
Learning & Development: Individual learning budgets, support for training and certifications, and reimbursement for one annual professional subscription (approval required).
Recognition & Rewards: Employee recognition programme and referral scheme.
Health & Wellbeing: Subsidised gym membership, a free Headspace account, and access to an Employee Assistance Programme, eye tests, flu jabs.Equal opportunities and our commitment to a diverse and inclusive workplace
Genomics England is actively committed to providing and supporting an inclusive environment that promotes equity, diversity and inclusion best practice both within our community and in any other area where we have influence. We are proud of our diverse community where everyone can come to work and feel welcomed and treated with respect regardless of any disability, ethnicity, gender, gender identity, religion, sexual orientation, or social background.
Genomics England’s policies of non-discrimination and equity and will be applied fairly to all people, regardless of age, disability, gender identity or reassignment, marital or civil partnership status, being pregnant or recently becoming a parent, race, religion or beliefs, sex or sexual orientation, length of service, whether full or part-time or employed under a permanent or a fixed-term contract or any other relevant factor.
Genomics England does not tolerate any form of discrimination, harassment, victimisation or bullying at work. Such behaviour is contrary to
01/06/2025
Company Description
Genomics England partners with the NHS to provide whole genome sequencing diagnostics. We also equip researchers to find the causes of disease and develop new treatments – with patients and participants at the heart of it all.
Our mission is to continue refining, scaling, and evolving our ability to enable others to deliver genomic healthcare and conduct genomic research.
We are accelerating our impact and working with patients, doctors, scientists, government and industry to improve genomic testing, and help researchers access the health data and technology they need to make new medical discoveries and create more effective, targeted medicines for everybody.
Job Description
Are you passionate about solving complex quality-assurance challenges with test-automation throughout the SDLC, and at all levels of the test pyramid? As a Senior QA Engineer in the new Test Enablement team, you'll have the opportunity to work with your peers in product teams to help them solve their quality-assurance challenges.
You will build reusable testing tools and automation, help to make strategic tooling choices, establish quality-assurance Golden Paths, and work towards maturing our testing practices across the organisation. You will look at the big picture problems that come with testing complex, distributed applications in a regulated industry, and you will work to improve the reliability and speed of our software delivery through accelerated and optimised testing.
In this role, you’ll work in partnership with engineers in product squads to test and evolve common solutions. You will experiment with alternative strategies for solving problems and use data and analysis to make decisions. You will be highly confident engaging with subject matter experts and engineering leadership. You will be a curious and engaged listener, seeking to understand the root cause of testing challenges, but you will also be confident in challenging assumptions and promoting best practice. You will be actively tracking the latest developments in testing tools and techniques, always looking to learn and to bring new ideas to the business. You are confident engaging with a range of stakeholders to understand organisational needs and bring them back to the team for consideration.
Everyday responsibilities include:
Work with the rest of the Test Enablement team to identify areas of greatest need where the team can have the greatest impact
Collaborate with QA engineers in product squads to help them raise the bar in their testing practices
Explore different approaches to testing challenges, explore options and be able to identify the strengths and weaknesses of them
Create templates, tools and Golden Paths that encapsulate best practice for use deployment the organisation
Act as a trusted mentor, coach and guide to your colleagues in the team and beyond
Lead on key decisions in a collaborative and inclusive environment that values diverse perspectives
Advocate for the need to rethink and improve Quality Assurance to better serve the needs of the business and improve speed and reliability of releasesEssential skills and experience:
Python
Java
Selenium WebDriver
Unit Test frameworks (e.g. Pytest)
API testing (e.g. REST-assured, Postman)
BDD frameworks (e.g. Cucumber, Pytest-bdd, Behave)
Agile testing
CI/CD tools (GitLab/Jenkins)
Load/Performance testing (e.g. JMeter, Locust)
Experience of Test Process Improvement and Test StrategyDesirable skills and experience:
Other UI testing tools (e.g. Playwright, Cypress)
Contract testing (e.g. PACT)
Mock APIs (e.g. WireMock)
Browser compatibility tools (e.g. BrowserStack)
Test management tools (e.g. Jira X-ray)
Accessibility testing tools (e.g. Axe-core)
Security testing tools (e.g. Snyk, OWASP Zap)
AWS
Experience working in a regulated environment
Qualifications
Only relevant work experience - no particular qualifications are required
Additional Information
Salary from: £55,500
Being an integral part of such a meaningful mission is extremely rewarding in itself, but in order to support our people, we’re continually improving our benefits package. We pride ourselves on investing in our people and supporting them to achieve their career goals, as well as offering a benefits package including:
Generous Leave: 30 days’ holiday plus bank holidays, additional leave for long service, and the option to apply for up to 30 days of remote working abroad annually (approval required).
Family-Friendly: Blended working arrangements, flexible working, enhanced maternity, paternity and shared parental leave benefits.
Pension & Financial: Defined contribution pension (Genomics England double-matches up to 10%, however you can contribute more if you wish), Life Assurance (3x salary), and a Give As You Earn scheme.
Learning & Development: Individual learning budgets, support for training and certifications, and reimbursement for one annual professional subscription (approval required).
Recognition & Rewards: Employee recognition programme and referral scheme.
Health & Wellbeing: Subsidised gym membership, a free Headspace account, and access to an Employee Assistance Programme, eye tests, flu jabs.Equal opportunities and our commitment to a diverse and inclusive workplace
Genomics England is actively committed to providing and supporting an inclusive environment that promotes equity, diversity and inclusion best practice both within our community and in any other area where we have influence. We are proud of our diverse community where everyone can come to work and feel welcomed and treated with respect regardless of any disability, ethnicity, gender, gender identity, religion, sexual orientation, or social background.
Genomics England’s policies of non-discrimination and equity and will be applied fairly to all people, regardless of age, disability, gender identity or reassignment, marital or civil partnership status, being pregnant or recently becoming a parent, race, religion or beliefs, sex or sexual orientation, length of service, whether full or part-time or employed under a permanent or a fixed-term contract or any other relevant factor.
Genomics England does not tolerate any form of discrimination, harassment, victimisation or bullying at work. Such behaviour is contrary to
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