128 Lead Statistician jobs in the United Kingdom

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.

• Assist senior data scientists in collecting, cleaning, and pre-processing large datasets from various sources.
• Learn and apply statistical techniques and machine learning algorithms to analyse data and identify patterns.
• Contribute to the development of data models and predictive analytics solutions.
• Help in visualising data and presenting findings through reports and dashboards.
• Support the team in troubleshooting data-related issues and implementing data quality checks.
• Gain exposure to various data science tools and programming languages, such as Python, R, and SQL.
• Participate in team meetings and collaborate with other departments to understand business needs and data requirements.
• Undertake formal training and study towards a recognised Data Science qualification.
• Develop a strong understanding of data ethics, privacy, and security principles.
• Contribute to a culture of continuous learning and innovation within the data science team.

• A strong interest in data, mathematics, and technology.
• Good problem-solving skills and an analytical mindset.
• A proactive attitude and a willingness to learn new skills.
• Good communication and teamwork abilities.
• Ideally, you will have achieved or be on track to achieve at least 4 GCSEs at grades 9-4 (or equivalent), including English and Maths, or equivalent level qualifications in IT or a related subject.
• No prior professional experience in data science is required; we are looking for potential and passion.

• Assist in data collection, cleaning, and preprocessing from various sources.
• Support data analysis and interpretation to identify trends and patterns.
• Learn and apply machine learning algorithms and statistical models under guidance.
• Contribute to the development of data visualizations and reports.
• Participate in team meetings and project discussions.
• Collaborate with senior data scientists and analysts on ongoing projects.
• Undertake formal study as part of the apprenticeship program.
• Assist in evaluating the performance of data models and algorithms.
• Maintain accurate documentation of data processes and findings.
• Develop a strong understanding of data ethics and governance.

• Minimum of 5 GCSEs at grade C/4 or above, including Maths and English, or equivalent qualifications.
• Strong analytical and problem-solving abilities.
• Interest in data, technology, and mathematics.
• Basic understanding of programming concepts (e.g., Python) is beneficial but not essential.
• Excellent communication skills, both written and verbal.
• Ability to work independently and manage time effectively in a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.
• Team player with a positive attitude.

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.

Metyis is growing! We are looking for a Data Science Associate with 3-4 years of experience to join our Data and Analytics team in London.

Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.

With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.

We are Metyis. Partners for Impact.

We are looking for a Data professional to join our Data Science team. As a Data Science Associate, you are responsible for turning our clients’ business a more data-driven one, where data is used to drive action in every team, every day.

• Interact with our clients on regular basis, to drive their business towards impactful change.

• Work in multidisciplinary teams and learn from motivated colleagues.

• A chance to take responsibility for your work, develop yourself every day and take full ownership of your career.

• Become part of a fast growing international and diverse team.

• Perform data analysis in the field of Growth Revenue Management, Marketing Analytics, CLM/CRM Analytics and/or Risk Analytics.

• Conduct analyses in typical analytical tools ranging from SAS, SPSS, Eviews, R, Python, SQL, Teradata, Hadoop, Access, Excel, etc.

• Communicate analyses via compelling presentations.

• Solve problems, disaggregate issues, develop hypotheses and develop actionable recommendations from data and analysis.

• Prepare and facilitating workshops.

• Manage stakeholders and communicating with executives.

• Coach and mentor team members.

• 3-5 years of professional work experience in the analytics domain.

• An advanced degree in a quantitative field (e.g. mathematics, computer programming, etc.).

• An ability to think analytically, decompose problem sets, develop hypotheses and recommendations from data analysis.

• Strong technical skills regarding data analysis, statistics, and programming. Strong working knowledge of, Python, Hadoop, SQL, and/or R.

• Working knowledge of Python data tools (e.g. Jupyter, Pandas, Scikit-Learn, Matplotlib).

• Ability to talk the language of statistics, finance, and economics a plus.

• Profound knowledge of the English language.

At Metyis, we are driven by curiosity and collaboration. We value diversity, equity, inclusion, and belonging (DEIB) in all its forms as it makes us stronger as an organisation and promotes creativity and innovation. We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow.

About Low Carbon

Low Carbon is a purpose driven company that creates large-scale renewable energy in the global fight against climate change. Our mission is to protect the planet for future generations while delivering positive returns for our communities and investors. Our goal is to produce as much new renewable energy as possible while limiting our own environmental impact. We do this by developing, investing in, and operating large-scale renewable energy projects across the globe.

Our partnership with the Massachusetts Mutual Life Insurance Company (MassMutual) is enabling us to accelerate the deployment of large-scale renewable energy and underpins our ambition to transform the global energy sector from fossil fuels to zero carbon.

All of us at Low Carbon know that trust is a vital component of the climate fight. We are a long-standing certified B-Corporation, a reflection of our fundamental ethos to balance the needs of the environment and society with our bottom line.

We are extremely proud of the highly professional and talented team at Low Carbon. We have built a positive learning culture that incorporates respect, trust, collaboration, and a shared passion to combat climate change. It is an open, friendly and supportive environment, and we are proud to say we work here. As we grow, we are committed to increasing diversity in the team, and continuing to foster an inclusive environment where we can learn from each other.

Role Description

The Low Carbon Data Science Internship is a 10-week summer program for undergraduate, graduate students and/or recent graduates. We want our internship colleagues to develop their skills in these emerging fields by working on real-world projects that make an impact on climate change and our business.

In 2023, our Data Science Summer Interns worked on deploying AI solutions across our business, on topics ranging from Renewable Asset Management, to Investment and Finance, presenting insights to our Executive Committee.

For our 2024 program, the successful candidate will form a crucial member of a small squad deployed on a real world business problem within the renewable energy industry. During the program there will be learning and support, including mentorship from subject matter experts in the business, and input and feedback from our senior industry professionals

Key Responsibilities

Working with other interns and project mentors, you will:

• Use Data Science to help solve a specific, live business challenge at Low Carbon
• Frame and structure practical solutions to challenging business problems
• Work in Agile Sprints to iteratively design, test and run trial solutions
• Present findings and key recommendations to senior stakeholders

Person Specification

• Undergraduate students, postgraduate students, or recent graduates from degrees in computer science, data science, statistics, mathematics, engineering and related fields
• A genuine interest in climate change and the role technology and data can play in solving some of our biggest climate challenges
• Eligible to work in the UK, on a 40-hour per week basis, continuously, from 8th July to 13th September
• An enthusiastic and committed team player who will work well with internship colleagues and key business stakeholders
• Energetic, reliable, adaptable and used to using their initiative
• A friendly, approachable and professional manner

Skills & Experience

• Practical experience of Programming in Python
• Demonstrable Data Science project experience (inside or outside classroom)
• Sound knowledge of fundamental statistical concepts
• Excellent problem-solving ability
• Ability to communicate results and present findings to a variety of stakeholders

Our Compensation & Benefits

• Competitive salary
• 26 days holiday + your birthday off (pro-rata for the duration of your internship)
• Lots of office social events
• Working in newly fit-out offices in Central London
• Get to work with an experienced, talented team of renewable energy professionals
• Be a part of a dynamic, entrepreneurial mission driven culture
• Make your unique contribution to the fight against climate change