279 Data Intelligence jobs in the United Kingdom
Enterprise Architect - Data Intelligence Platform - London
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About the job you're considering
We are looking for an experienced and highly skilled Data Architect to join our Design Authority Team to determine and advance the technology deployed within CIS Managed Services. As our Data Intelligence Platform Architect, you will oversee our Data Intelligence Platform built on Databricks.
You will be responsible for defining the vision, strategy, data architecture, and the solution design of our data platform, ensuring scalability, data security and alignment with business objectives and driving innovation through the adoption of emerging technologies. This is a senior leadership role that requires strong expertise in Data architecture, business acumen, and excellent communication skills.
Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.
Your role
- Define a data architecture and strategy for a scalable, performant and secure Data Platform to operate cloud and hybrid services.
- Define data standards, governance frameworks and integration patterns that align the architecture to Cloud Infrastructure Services business objectives.
- Lead the design, development, and deployment of enhancements and backlog items for the Data Intelligence Platform on Databricks, including data architecture, data ingestion, data engineering, machine learning/AI, data visualization and analytics.
- Collaborate with cross-functional teams, including Operations, Transformation/Industrialization, Delivery, and Shared Services stakeholders to ensure seamless integration, relevance, and adoption of the platform.
- Develop and maintain a deep understanding of the organization's data landscape, including data governance, quality, and security.
- Stay up to date with emerging trends and technologies in data architecture, AI/ML, and cloud computing, and apply this knowledge to drive innovation and improvement in the platform.
- Develop and manage the platform's technical roadmap, ensuring alignment with business objectives, Generative AI demands for data, and industry trends.
- Develop and deploy related client-facing services into our Enterprise Automation Fabric.
- Develop the annual budget to support data platform priorities for the coming year.
- Develop, submit, and defend enhancement project requests based on a researched and supported business case for securing your annual product investments.
- Lead a team of architects, engineers, and data scientists to design, develop, and implement the platform's components, including data pipelines, data lakehouses, and analytics.
- Ensure the platform's scalability, reliability, and performance, and develop strategies to optimize resource utilization and reduce costs.
- Participate in and drive Vendor Onboarding when implementing new tools/technologies.
- Develop and manage relationships with key stakeholders, including business leaders, data scientists, and engineers to ensure the platform meets business needs and expectations.
You can bring your whole self to work. At Capgemini building an inclusive future is part of everyday life and will be part of your working reality. We have built a representative and welcoming environment, for everyone.
Your skills and responsibilities
- Extensive experience in data architecture, warehousing, and engineering with a focus on large-scale data platforms and cloud computing.
- Proven track record of designing and delivering data platforms on Databricks or similar platforms such as Snowflake, including experience with related technologies such as Apache Spark, PySpark, Delta Lake, and ETL tools.
- Strong technical expertise in data architecture, data governance, data quality, and data security.
- Excellent understanding of AI/ML technologies, including machine learning, deep learning, and generative AI.
- Experience with cloud computing platforms, including AWS, Azure, and GCP.
- Strong business acumen, with the ability to understand business objectives and develop technical strategies to support them.
- Excellent communication and leadership skills, with the ability to collaborate with cross-functional teams and stakeholders.
- Knowledge of data governance frameworks and standards, such as GDPR and CCPA.
- Certification in data architecture, cloud computing, or AI/ML technologies.
- Experience with agile development methodologies and DevOps practices.
What does ‘Get The Future You Want ‘ mean for you?
You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.
You’ll be bringing your unique skills and perspectives to the team, inspiring and taking inspiration from your teammates as you unlock value in everything you do. You’ll be joining a professional community of experts, who have got your back and will support you, every step of the way.
You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.
To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.
Capgemini. Get The Future You Want.
Why you should consider Capgemini
Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.
About Capgemini
Capgemini is a global business and technology transformation partner, helping organisations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.
Get The Future You Want |
Network Data and Intelligence Analyst
Posted today
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Job Description
About the job.
Here at National Highways, we have an excellent opportunity for a Network Data and Intelligence Analyst to join our team based in either Leeds or Wakefield, working on the strategic road network. You will be working to contribute on timely and effective data, analysis, intelligence/insight and visualisation to support decision-making and achievement of regional business objectives. Work with internal and external stakeholders to identify where analysis can inform decision-making concerning the Strategic Road Network.
- Contribute to problem-solving and regional/national analytical projects using analytical capability and experience by applying analytical principles to produce practical and innovative solutions.
- Gather, monitor and analyse multiple datasets across safety, traffic, customer and performance to inform and influence collaborative evidence-led decision-making within Operations. Work with team members to draft balanced and objective conclusions and to highlight risks/opportunities.
- Develop an understanding of business performance metric calculations and operational levers.
- Support intelligent occupancy of the network via modelling traffic management and event impact on customer/economy.
- Develop and maintain working knowledge of a broad range of analytical and data visualisation software systems (including but not limited to data query languages, Power BI, GIS and Excel) and analytical tools used within National Highways.
About you.
- Experience in working with sets of data to extract meaningful insights and communicate information to different audiences effectively and work confidently with others to deliver projects.
- Experience of using structured problem-solving and analytical techniques to quantitatively and qualitatively explore and understand problems.
- Good understanding of data and information management principles and best practices.
- Experience of Microsoft Office products with advanced Excel skills and knowledge of a range of standard analytical tools, Geographic Information Systems (eg. ARC GIS) and Structured Query Languages.
- A qualification in an analytical, statistical or related discipline or equivalent evidence of experience/aptitude for an analytical role.
About us.
Here at National Highways, we manage and improve England's motorways and major A roads, helping our customers have safer, smoother and more reliable journeys. Our priorities are safety, customers and delivery, and at the core of this, are our values of passion, integrity, safety, teamwork and ownership.
Operations is at the heart of keeping the strategic road network moving and ensuring our customers get the best possible experience when using our roads.
We address over 39,000 customer enquiries every month, plan and deliver all maintenance activities on the network, drive efficiencies and improvements across our systems and roads, and respond to incidents across 4,500 miles of motorways and major A-roads that we manage. All to make sure National Highways customers have safer, smoother, and more reliable journeys.
External candidates will be offered a starting salary at the lower end of the pay scale, while current employees will be appointed in accordance with our established pay policy.
We are committed to creating a diverse environment and welcome applicants from all backgrounds.
Lead Data and Intelligence Analyst
Posted 22 days ago
Job Viewed
Job Description
**Job Title:** Lead Data and Intelligence Analyst
**Location:** London/Cambridge - Hybrid
**Employment Type:** Full-Time
**The job**
We are seeking a highly skilled and hands-on Lead Data and Intelligence Analyst, ensuring that data solutions directly support commercial strategy and performance.
The successful candidate will be an expert in Power BI and proficient in SQL, with practical experience in building data engineering pipelines within the Microsoft ecosystem. This role requires a blend of technical expertise, business acumen, and stakeholder engagement, along with the ability to provide leadership and mentorship to junior analysts.
**Key Responsibilities:**
+ **Commercial Intelligence** - Deliver and enable the analyticsstrategy to ensure a "single version of the truth" for reporting and decision-making.Ensure development is aligned to delivering on AVEVA's commercial goals.
+ **Power BI Development** - Design, development, and optimisation of advanced dashboards, reports, and models within Power BI, ensuring usability and scalability across the business.
+ **SQL & Data Modelling** - Develop, optimize, and maintain complex SQL queries to support analytics and reporting requirements.
+ **Data Analysis** - Perform deep-dive and ad-hoc analyses, generating actionable insights to address commercial challenges and opportunities.
+ **Data Engineering Pipelines** - Design and maintain ETL/ELT pipelines using Microsoft-based tools (e.g., Data Factory, Synapse, Fabric pipelines), ensuring data quality, integrity, and timeliness.
+ **Stakeholder Engagement** - Collaborate with senior commercial, sales, and operations leaders to understand requirements, design analytical solutions, and translate complex datasets into actionable insights.
+ **Leadership & Mentorship** - Provide technical leadership to junior analysts, fostering best practices in BI, data engineering, and stakeholder management.
+ **Continuous Improvement** - Stay current with Microsoft BI & Fabric updates, recommending and implementing improvements to data workflows and reporting.
**Essential requirements:**
+ Bachelor's degree in a STEM discipline (or equivalent experience).
+ 7+ years of experience in analytics, BI, or data engineering, with at least 2-3 years in a senior or lead role.
+ Expertise in Power BI - advanced DAX, data modelling, performance optimization, and deployment.
+ Strong SQL proficiency with proven experience in query optimization.
+ Hands-on experience with Azure Data Factory, Synapse, or Fabric pipelines.
+ Strong communication and presentation skills, able to engage effectively with stakeholders at all levels.
+ Ability to translate business needs into technical solutions and deliver measurable business impact.
+ Strong attention to detail with a track record of delivering high-quality, accurate, and scalable BI solutions.
**Commercial** **at AVEVA**
Our Commercial team, comprised of over 2,000 dedicated colleagues, is the backbone of our customer relationships and business growth. From industry experts and solution architects to sales, support, success managers, and business operations, everyone shares a common goal: to deeply understand our customers' needs and deliver tailored solutions.
If you're passionate about driving growth, tackling complex business challenges, and fostering strong customer relationships, you'll find success and fulfilment in our Commercial team.
Find out more: Benefits include:**
Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program.
It's possible we're hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.
Find out more: aveva.com/en/about/careers/benefits/
**Hybrid working**
By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote.
**Hiring process**
Interested? Great! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process.
Find out more: aveva.com/en/about/careers/hiring-process
**About AVEVA**
AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals, and minerals - safely, efficiently, and more sustainably.
We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/
Find out more: aveva.com/en/about/careers/
AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.
AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.
Empowering you with pioneering tech
AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals and minerals - safely, efficiently and more sustainably.
We're the first software business in the world to have our sustainability targets validated by the SBTi, and we've been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We've also recently been named as one of the world's most innovative companies.
If you're a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at AVEVA Careers ( .
For more information about our privacy policy and how to manage cookies, visit our Privacy Policy ( .
Lead Data and Intelligence Analyst
Posted 22 days ago
Job Viewed
Job Description
**Job Title:** Lead Data and Intelligence Analyst
**Location:** London/Cambridge - Hybrid
**Employment Type:** Full-Time
**The job**
We are seeking a highly skilled and hands-on Lead Data and Intelligence Analyst, ensuring that data solutions directly support commercial strategy and performance.
The successful candidate will be an expert in Power BI and proficient in SQL, with practical experience in building data engineering pipelines within the Microsoft ecosystem. This role requires a blend of technical expertise, business acumen, and stakeholder engagement, along with the ability to provide leadership and mentorship to junior analysts.
**Key Responsibilities:**
+ **Commercial Intelligence** - Deliver and enable the analyticsstrategy to ensure a "single version of the truth" for reporting and decision-making.Ensure development is aligned to delivering on AVEVA's commercial goals.
+ **Power BI Development** - Design, development, and optimisation of advanced dashboards, reports, and models within Power BI, ensuring usability and scalability across the business.
+ **SQL & Data Modelling** - Develop, optimize, and maintain complex SQL queries to support analytics and reporting requirements.
+ **Data Analysis** - Perform deep-dive and ad-hoc analyses, generating actionable insights to address commercial challenges and opportunities.
+ **Data Engineering Pipelines** - Design and maintain ETL/ELT pipelines using Microsoft-based tools (e.g., Data Factory, Synapse, Fabric pipelines), ensuring data quality, integrity, and timeliness.
+ **Stakeholder Engagement** - Collaborate with senior commercial, sales, and operations leaders to understand requirements, design analytical solutions, and translate complex datasets into actionable insights.
+ **Leadership & Mentorship** - Provide technical leadership to junior analysts, fostering best practices in BI, data engineering, and stakeholder management.
+ **Continuous Improvement** - Stay current with Microsoft BI & Fabric updates, recommending and implementing improvements to data workflows and reporting.
**Essential requirements:**
+ Bachelor's degree in a STEM discipline (or equivalent experience).
+ 7+ years of experience in analytics, BI, or data engineering, with at least 2-3 years in a senior or lead role.
+ Expertise in Power BI - advanced DAX, data modelling, performance optimization, and deployment.
+ Strong SQL proficiency with proven experience in query optimization.
+ Hands-on experience with Azure Data Factory, Synapse, or Fabric pipelines.
+ Strong communication and presentation skills, able to engage effectively with stakeholders at all levels.
+ Ability to translate business needs into technical solutions and deliver measurable business impact.
+ Strong attention to detail with a track record of delivering high-quality, accurate, and scalable BI solutions.
**Commercial** **at AVEVA**
Our Commercial team, comprised of over 2,000 dedicated colleagues, is the backbone of our customer relationships and business growth. From industry experts and solution architects to sales, support, success managers, and business operations, everyone shares a common goal: to deeply understand our customers' needs and deliver tailored solutions.
If you're passionate about driving growth, tackling complex business challenges, and fostering strong customer relationships, you'll find success and fulfilment in our Commercial team.
Find out more: Benefits include:**
Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program.
It's possible we're hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.
Find out more: aveva.com/en/about/careers/benefits/
**Hybrid working**
By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote.
**Hiring process**
Interested? Great! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process.
Find out more: aveva.com/en/about/careers/hiring-process
**About AVEVA**
AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals, and minerals - safely, efficiently, and more sustainably.
We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/
Find out more: aveva.com/en/about/careers/
AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.
AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.
Empowering you with pioneering tech
AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals and minerals - safely, efficiently and more sustainably.
We're the first software business in the world to have our sustainability targets validated by the SBTi, and we've been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We've also recently been named as one of the world's most innovative companies.
If you're a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at AVEVA Careers ( .
For more information about our privacy policy and how to manage cookies, visit our Privacy Policy ( .
Data Science Intern
Posted today
Job Viewed
Job Description
About WillHire
WillHire is a modern staffing and talent acquisition platform helping leading organizations find exceptional talent. We’re now expanding into the Data Science vertical and are looking for curious, driven, and analytical minds to join us as part of our Data Science Internship Cohort .
Role Overview
As an Data Science Intern at WillHire, you will collaborate with our engineering and strategy teams to design data-driven solutions that power smarter hiring, workforce planning, and operational decision-making. This is a hands-on role where you’ll work on real business datasets to build production-ready analytics models and dashboards.
Key Responsibilities
- Collect, clean, analyze, and transform structured & semi-structured HR and recruitment datasets
- Build predictive models for talent forecasting, attrition risk, and candidate success scores
- Develop data visualizations, dashboards, and reports using Python, SQL & BI tools
- Perform EDA (exploratory data analysis) to uncover insights that inform recruitment strategies
- Work with time-series & cohort data for trend analysis and performance metrics
- Deploy statistical and ML algorithms (regression, clustering, classification) in scalable pipelines
- Communicate findings & recommendations with clear visual and written formats to stakeholders
Requirements
- Pursuing (or recently completed) B.Tech/BE/M.Tech/MSc in Data Science, Computer Science, Statistics, or related fields
- Proficiency in Python + core libraries (Pandas, NumPy, Matplotlib/Seaborn, Scikit-learn)
- Familiarity with SQL for querying relational datasets
- Sound understanding of ML fundamentals – supervised/unsupervised learning methods
- Strong statistics foundation – distributions, hypothesis testing, probability
- Ability to interpret data, derive insights, and present conclusions clearly
- Strong communication skills, ownership mindset & enthusiasm to learn
Nice to Have (Bonus)
- Knowledge of BI tools (Power BI / Tableau / Looker / Metabase)
- Basics of cloud platforms (AWS/GCP/Azure) or Docker
- Prior exposure to HR analytics or recruitment datasets
What You’ll Get
- Practical exposure to solving real-world data problems in HR Tech
- Experience working on high-impact product features used by recruiters and hiring managers
- 1:1 mentorship by experienced data scientists and access to premium resources
- Internship Certificate & Letter of Recommendation upon successful completion
- Opportunity for a Pre-Placement Offer (PPO) at WillHire or client companies
Hiring Process
Online Application
- Submit CV, GitHub/Kaggle links, and a brief note on your interest and experience
Technical Assessment
- Assignment to test Python, SQL, EDA, or modeling approach
Technical Interview
- In-depth discussion (45 mins) on your ML/stats understanding & problem-solving
Managerial Interview
- Evaluate communication skills, culture fit & motivation
Offer
- Selected applicants receive the internship offer with stipend details & project allocation
Onboarding
- Orientation, project assignment & setup with tools and mentors
Stipend
Minimum stipend starts at £17/hour , with the possibility of a higher rate based on performance in the interviews.
Data Science Manager
Posted today
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Job Description
Senior Data Science Manager
Brighton - 1 day a week
Up to £100,000
About the Role
We are working with an innovative organisation that has developed a next-generation GenAI product, with thousands of users engaging in rich conversations daily. This is a unique opportunity to shape and lead the Data Science function at the heart of a high-growth, AI-driven product.
As Senior Data Science Manager, you will be responsible for leading a talented team of Data Scientists while still contributing individually to the design and development of cutting-edge AI and ML infrastructure. This role blends leadership, strategy, and hands-on technical delivery.
This is an exciting chance to lead the data science efforts behind a cutting-edge AI product, while continuing to be hands-on with the technical challenges that come with scaling AI at speed.
Key Responsibilities
- Leading, mentoring, and growing a team of Data Scientists, fostering a high-performance and collaborative culture.
- Guiding strategic decision-making on technology and architecture to ensure scalable and cost-effective solutions.
- Driving the development of machine learning models, pipelines, and tooling, with a strong emphasis on MLOps best practices.
- Acting as a subject matter expert internally and externally, including with key customer stakeholders.
- Translating business requirements into robust technical solutions, ensuring alignment across teams.
- Promoting strong data governance, documentation, and observability across systems.
- Staying ahead of industry trends and introducing new technologies and methods into the team.
What We’re Looking For
- Proven experience managing and mentoring data science teams.
- Strong track record delivering impact in a senior data science role.
- Deep understanding of machine learning model lifecycles and optimisation.
- Skilled in building, training, and deploying models on large datasets.
- Proficiency in Python, PyTorch, Scikit-learn, and similar ML frameworks.
- Experience with cloud environments (AWS preferred), containerisation, and modern data infrastructure.
- Excellent communication skills, with the ability to work effectively across technical and non-technical stakeholders.
- A collaborative, curious, and pragmatic mindset, with a passion for solving complex problems.
Data Science Manager
Posted today
Job Viewed
Job Description
The Data Science Manager will manage, lead and inspire a talented and experienced team of data scientists to design, develop, and deploy machine learning (ML) and artificial intelligence (AI) solutions which deliver our Loyalty transformation programme. This role serves as a strategic bridge between Data Science and our Business & Commercial teams, ensuring the effective application of advanced methodologies to achieve measurable and meaningful business outcomes. By fostering innovation, building and supporting a high-performing team, and driving collaboration across functions including Product, Engineering and Data Engineering, the Data Science Manager is key to the success of a major part of M&S's future.,
Summary
The Data Science Manager will manage, lead and inspire a talented and experienced team of data scientists to design, develop, and deploy machine learning (ML) and artificial intelligence (AI) solutions which deliver our Loyalty transformation programme. This role serves as a strategic bridge between Data Science and our Business & Commercial teams, ensuring the effective application of advanced methodologies to achieve measurable and meaningful business outcomes. By fostering innovation, building and supporting a high-performing team, and driving collaboration across functions including Product, Engineering and Data Engineering, the Data Science Manager is key to the success of a major part of M&S's future.
All the details
What's In It For You
Being a part of M&S is exactly that – playing your part to bring the magic of M&S to our customers every day. We're an inclusive, dynamic, exciting, and ever evolving business built on doing the right thing and bringing exceptional quality, value, service to every customer, whenever, wherever and however they want to shop with us.
Here are some of the benefits we offer that make working for M&S just that little bit more special…
- After completing your probationary period, you'll receive 20% colleague discount across all M&S products and many of our third-party brands for you and a member of your household.
- Competitive holiday entitlement with the potential to buy extra holiday days
- Discretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business.
- A generous Defined Contribution Pension Scheme and Life Assurance.
- A dedicated welcome to our teams with a tailored induction and a wide range of training programmes to develop your skills.
- Amazing perks and discounts via our M&S Choices portal to maximise your financial and personal wellbeing.
- Industry-leading parental, adoption and neonatal policies, providing support and flexibility for your family.
- Access to a fantastic range of wellbeing support for all colleagues including access to our 24/7 Virtual GP and PAM Assist to support you and your family.
- A charity volunteer day to support a charity or cause you're passionate about through a dedicated day away from work.
Who You Are
- A collaborative and supportive leader who inspires and develops Data Scientists, creating a culture of openness, learning and excellence in delivery.
- Technically skilled in a wide range of ML/AI methods, with experience turning advanced models into real-world solutions that customers feel and business teams value.
- You have a pragmatic and commercial attitude, ready and willing to consider the full range of technical options available from simple to complex, depending on what's most appropriate and what will deliver value most effectively
- Curious and innovative, keeping pace with new ML/AI advancements and applying them to unlock new ways of serving customers.
- An excellent communicator and business partner who can make complex concepts simple, building trust and influence with both technical and commercial partners.
What You Will Do
- Lead, manage and grow a high-performing Data Science team shaping the future of our customer Loyalty programme through seamless personalisation and optimisation
- Deliver scalable ML/AI solutions end-to-end that step-change how we understand, reward and engage with customers through our Loyalty programme.
- Partner with product, engineering and commercial teams to embed solutions seamlessly into the customer experience and business processes.
- Set the standard for agile Data Science delivery, testing and model monitoring, ensuring solutions are robust, reliable and impactful.
- Drive innovation and act as a trusted advisor, helping transform how Data Science develops value for our customers and our business.
Everyone's welcome
We are ambitious about the future of retail. We're disrupting, innovating and leading the industry into a more conscientious, inspiring digital era. We're transforming how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen.
We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together.
If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don't hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.
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Data Science Manager
Posted 1 day ago
Job Viewed
Job Description
Data Science Manager
Up to £85,000
Join a fintech platform revolutionising workplace savings and pensions by making sustainable investing simple for both employees and employers. They’re right where finance, tech, and wellbeing meet with backing from a major bank but the feel of fintech innovation.
Responsibilities:
- Stay hands-on while advising business leaders on data-driven decisions.
- Drive improvements in client and customer outcomes through active data analysis and modeling.
- Develop and refine predictive and machine learning models.
- Build and optimize customer lifetime value and key metric models.
- Continuously improve analytics and model accuracy.
- Lead and contribute to scalable model deployment in production.
Requirements:
- MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
- Experience in Consumer / Marketing Analytics
- Strong proficiency in Python and experience with relevant ML libraries/frameworks.
Please note:
This role requires 1 day onsite per week onsite in Central London.
This role cannot provide visa sponsorship.
Data Science Manager
Posted 1 day ago
Job Viewed
Job Description
Data Science Manager
Up to £85,000
Join a fintech platform revolutionising workplace savings and pensions by making sustainable investing simple for both employees and employers. They’re right where finance, tech, and wellbeing meet with backing from a major bank but the feel of fintech innovation.
Responsibilities:
- Stay hands-on while advising business leaders on data-driven decisions.
- Drive improvements in client and customer outcomes through active data analysis and modeling.
- Develop and refine predictive and machine learning models.
- Build and optimize customer lifetime value and key metric models.
- Continuously improve analytics and model accuracy.
- Lead and contribute to scalable model deployment in production.
Requirements:
- MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
- Experience in Consumer / Marketing Analytics
- Strong proficiency in Python and experience with relevant ML libraries/frameworks.
Please note:
This role requires 1 day onsite per week onsite in Central London.
This role cannot provide visa sponsorship.
Data Science Manager
Posted 1 day ago
Job Viewed
Job Description
Software Engineering Manager – Data & Analytics
Location: Oxfordshire, UK (Hybrid)
A growing technology company is seeking a Software Engineering Manager to lead the design and delivery of advanced data and analytics software. This role sits at the intersection of software development, data processing, and engineering leadership, offering the chance to shape technical strategy while remaining hands-on.
The Role:
- Lead and mentor a small team of software engineers and data specialists.
- Oversee the design, development, and delivery of high-quality data software.
- Manage project timelines, priorities, and software quality processes.
- Collaborate with research and engineering teams to deliver integrated solutions.
- Drive best practices in coding, testing, and continuous improvement.
- Contribute technically in Python or similar languages when needed.
Requirements:
- 5+ years in software engineering, including leadership or management experience.
- Strong programming skills (Python preferred).
- Proven record of delivering robust, production-grade software systems.
- Familiarity with scientific or analytical data processing is beneficial.
- Excellent communication, organisation, and problem-solving skills.
Education:
- Degree in Computer Science, Engineering, or a related technical field.
Package:
£62,000–£75,000 depending on experience, plus bonus, benefits, and hybrid working flexibility.