61 Data Analysis jobs in London

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

Data Science Consultant

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.  

In a world of globalisation and constant innovation organisations are creating, consuming, and transforming unprecedented volumes of data. We endeavour to work alongside our clients to extract and leverage key insights driven by our Data Science and Analytics expertise and capabilities. It’s an exciting time to join our Data Science Team as we grow together to keep up with client demand and launch offerings to the market. In your role, you will partner with our clients to deliver outcomes through the application of cutting-edge data science methods. 

Your Role

In this role you will play a key role in: 

• Supporting the delivery of our AI, Data Science and Analytics projects and working closely with your colleagues, ensure Client expectations are met at all stages. 
• Inspiring our clients on exploiting the potential of Gen AI, data science and analytics in their businesses through demonstrations.  
• Developing and deploying new skills in the fields of AI, Data Science and Analytics, with support from your colleagues, to ensure that current methods are used where appropriate. 
• Delivering work in a structured manner, finding a balance between creativity and practicality to ensure we meet client standards efficiently within the agreed timescales. 
• Working effectively in a team, supporting your peers in delivering at pace and meeting our own high internal standards of output and delivery. 
• As part of your role, you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: 

Business Development – Contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. 

Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. 

Learning & development – Training to support your career development and the skills demand within the company, certifications etc. 

Your Profile

We’d love to meet someone with: 

• Experience in working within the fields of AI, Data Science and Analytics, with a proven track record of successfully delivered work across the ML lifecycle and a strong foundation in statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies. 
• Keen to demonstrate the potential that Gen AI has to offer to unlock business value. 
• A desire to provide solutions to the real-world issues and challenges with data that our clients face regularly. Strong stakeholder management and presentation skills, with experience in enabling clients to better understand and derive better value and insights from their data. 
• Currently working in a major Consulting firm, and/or in industry but having a Consulting background with a proven ability to be successful in a matrixed organisation, and to enlist support and commitment from peers in selling and delivering consulting solutions.
• Architectural and/or feature knowledge of one or more of the listed Data and AI Platforms: Google Cloud Platform, Amazon Web Services, Microsoft Azure, Databricks. Experience in one or more of the listed Languages or Packages: Python, R, Pyspark, Scala, PowerBI, Tableau.

What you'll love about working here:

Data Science Consulting brings an inventive quantitative approach to our clients’ biggest business and data challenges to unlock tangible business value by delivering intelligent data products and solutions through rapid innovation leveraging AI. We strive to be acknowledged as innovative and industry leading data science professionals and seek to achieve this by focusing on three area of the data science lifecycle: 

Exploring the art of the possible with AI by combining domain knowledge and AI expertise to identify opportunities across industries and functions where AI can deliver value and by shaping AI/ML roadmaps, and ideation using use cases aligned with data science and business strategies. 

Accelerating impact with AI by enabling proof of value through prototypes and by translating complex AI concepts into practical solutions that democratise access and maximise business advantage for our clients. 

Scaling AI from lab to live by defining and implementing responsible AI design principles throughout the AI journey and establishing sustainable, resilient, and scalable AI/ML Ops architectures and platforms for integrating AI products and solutions into business processes for real-time decision making. 

We are delighted to have received the “Glassdoor Best Places to work UK’ accolade for 5 consecutive years, to see what it’s like to work at Capgemini Invent, visit our Glassdoor page 

Need to know:

At Capgemini we don’t just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work. 

We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. 

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. We have also invested in wellbeing apps such as Thrive and Peppy. 

CSR

We’re also focused on using tech to have a positive social impact. So, we’re working to reduce our own carbon footprint and improve everyone’s access to a digital world. It’s something we’re really serious about.  In fact, we were even named as one of the world’s most ethical companies by the Ethisphere Institute for the 10th year.  When you join Capgemini, you’ll join a team that does the right thing. 

Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. 

We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance. 

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations 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 350,000 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 fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.

Campion Pickworth are working with a leading International professional services firm to recruit for Senior Data Science and Machine Learning Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment.

This is a unique opportunity to work on a wide range of high-impact data science projects, leveraging cutting-edge technologies and working alongside a talented team of professionals. You’ll play a key role in shaping our data capabilities and delivering meaningful insights that support business-critical decisions.

What You’ll Do

• Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions.
• Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data.
• Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence.
• Collaborate with cross-functional teams to identify business needs and translate them into scalable data science solutions.
• Manage multiple projects from inception to deployment within cloud-based environments.
• Maintain high standards in code review, documentation, and delivery in a DevOps context.
• Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models.

What We’re Looking For

Essential Skills and Experience:

• Proven ability to solve complex, real-world problems through data science and analytics.
• Experience coaching and reviewing work of junior team members.
• Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics.
• Deep knowledge of machine learning methods and their practical application.
• Experience managing multiple end-to-end data science projects across varied data types.
• Familiarity with DevOps practices and tools like Git.
• Cloud experience (e.g. Azure, AWS) and working with ML platforms and services.
• Strong communication skills, capable of explaining complex topics to non-technical stakeholders.
• Ability to align data science efforts with broader business objectives.

Desirable Skills:

• Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs).
• Familiarity with Generative AI and prompt engineering.
• Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes.
• Exposure to Agile development environments and software engineering best practices.
• Experience working in large or complex organisations or regulated industries.
• Strong working knowledge of Excel, SQL, Power BI, and Tableau.

Why Join?

• Work in a fast-growth, innovation-driven environment.
• Be part of a diverse and inclusive team where your contributions are valued.
• Tackle meaningful challenges with real-world impact.
• Access continuous professional development and technical learning opportunities.

Job Title: Head of Data Science

Location: Central London (Zone 1) – hybrid

Working: 2–3 days/week in-office + ~20–25% EU travel

About the Company

A billion Euro international B2C company operating across major European markets. The company has recently centralised its data leadership to build a world-class predictive AI capability. With thousands of staff globally, they’re embedding AI across marketing, product, risk, and operations. The business is highly regulated, operates under strict compliance regimes (GDPR, EU AI Act), and is backed by long-term private ownership.

The Role

Own and deliver the predictive AI strategy across multiple regulated B2C markets. You’ll report to the CMO (also CIO/CPO), lead a small DS team, and work cross-functionally with product, tech, innovation, and local business units.

Responsibilities

• Set the AI/ML roadmap
• Lead model development (personalisation, churn, pricing)
• Scale internal GenAI tools across markets
• Ensure compliance (GDPR, EU AI Act)
• Influence senior stakeholders incl. CMO, CTO, CEO

Requirements

• 10+ years in ML/DS, including senior leadership
• Hands-on background in model deployment
• Strong B2C experience (e.g. ecommerce, gaming, telco)
• MSc required; PhD optional
• Executive-level stakeholder management
• Exposure to GenAI and cloud ML stacks (Databricks, Azure, AWS)

Pathway to Chief Data Officer

Interested? Please apply below.

Team Lead – Algorithm Development, Signal Processing & ML | Biotech | Hybrid

We are a recruiting for a recently funded deep-tech company at the intersection of biosensing , signal processing , and machine learning .

We’re looking for a hands-on technical leader to build and scale the algorithm development team. You’ll own the full computational pipeline from raw data analysis to production-ready ML tools collaborating closely with interdisciplinary teams.

What You’ll Do

• Lead development of advanced signal processing & ML algorithms
• Design end-to-end data pipelines from R&D to production
• Mentor and grow a small, high-impact team
• Contribute hands-on to code and set technical direction

What We’re Looking For

• PhD in EE, CS, Applied Math, Biomedical Eng, or related field
• 5+ years in algorithm development with strong signal processing & ML expertise
• Proven leadership or mentorship experience
• Proficiency in Python/C++ and modern ML frameworks (PyTorch/TensorFlow)

Bonus

• Experience in biosensing, life sciences, medical devices or sequencing devices.
• Startup or interdisciplinary team experience

Campion Pickworth are working with a leading International professional services firm to recruit for Senior Data Science and Machine Learning Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment.

This is a unique opportunity to work on a wide range of high-impact data science projects, leveraging cutting-edge technologies and working alongside a talented team of professionals. You’ll play a key role in shaping our data capabilities and delivering meaningful insights that support business-critical decisions.

What You’ll Do

• Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions.
• Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data.
• Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence.
• Collaborate with cross-functional teams to identify business needs and translate them into scalable data science solutions.
• Manage multiple projects from inception to deployment within cloud-based environments.
• Maintain high standards in code review, documentation, and delivery in a DevOps context.
• Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models.

What We’re Looking For

Essential Skills and Experience:

• Proven ability to solve complex, real-world problems through data science and analytics.
• Experience coaching and reviewing work of junior team members.
• Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics.
• Deep knowledge of machine learning methods and their practical application.
• Experience managing multiple end-to-end data science projects across varied data types.
• Familiarity with DevOps practices and tools like Git.
• Cloud experience (e.g. Azure, AWS) and working with ML platforms and services.
• Strong communication skills, capable of explaining complex topics to non-technical stakeholders.
• Ability to align data science efforts with broader business objectives.

Desirable Skills:

• Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs).
• Familiarity with Generative AI and prompt engineering.
• Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes.
• Exposure to Agile development environments and software engineering best practices.
• Experience working in large or complex organisations or regulated industries.
• Strong working knowledge of Excel, SQL, Power BI, and Tableau.

Why Join?

• Work in a fast-growth, innovation-driven environment.
• Be part of a diverse and inclusive team where your contributions are valued.
• Tackle meaningful challenges with real-world impact.
• Access continuous professional development and technical learning opportunities.

We’re looking for an inspirational leader that understands and respects the honorable burden of leading fellow brilliant minds. Someone that will have a say in how our data science team executes and how we stay true to our values.

Your mission will be to run a world-class, highly efficient, and business-impact-driving data science team. Under your leadership, this team will balance:

Delivering applicative DS models that power our market-leading innovative products.

Research Lab functionality through DS, allowing the Data Org’s proactive identification of thematic opportunities for the business.

This is a unique opportunity to shape the strategy, methodology, and execution patterns of this vital data function. And lead the team and data culture at a global, data-driven company that creates worlds beyond gameplay and brings communities together.

• Serve as a Heart-First, People-First, Leader
• Exemplify the values we live by. Know and care for the people in your teams out of the understanding that, as a leader, you work for them.
• Nurture a blameless culture. Inspire, develop, and guide your team members to be the best that they can be.
• Formalize your team’s identity to one everyone wants to be a part of.
• Excel as a Senior Manager
• Build the processes that make us run efficiently. That automates the ordinary so we can focus on the extraordinary.
• Be a champion of best practices for project management, and find the right recipe that makes your teams demonstrate high performance.
• Prioritize pragmatically, communicate effectively, and know when to juggle and when to focus.
• Business & Data Focus
• Know the data - Ask ALL the whys, relentlessly, until you know it inside-out. Instill that same rigor in your teams and push context to the entire Data Org.
• Bring Business Value - Obsess about designing DS products that serve the business needs and provide empirical lasting value . You’re not here to produce models but to create measurable quality and impact.
• Be the Face of Your Teams
• Create strong bonds & true partnerships with your stakeholders at the product, company leadership, and data leadership level.
• Translate DS needs from strategic conversations to the day-to-month actions your teams will take.
• Tell the stories of your teams’ deliverables, know how important it is to create awareness, and bridge the gap between non-technical people and what your team does
• Leadership Team Member
• Demonstrate a servant-leadership mindset. Passionately deliver people, process, and culture-enabling products to our team members. Consistently.
• Be willing and able to continuously be expected to learn and improve as a leader and a manager. Challenge and be challenged to develop together.
• Be deliberate about our leadership team’s culture. Spend time with your fellow leaders, laugh together, cry together, and be who you really are.

Requirements

EXPERIENCE

• Data Science Lifecycle
• You have experience in building towards the bigger picture of the ecosystem you’re working in: adding to Data Quality, Monitoring/Observability tools, etc. You know your code will not exist in a void.
• You’ve participated in shaping a CI/CD process of a data science portfolio before. It’s not only about taking a model to production; it’s about maintaining many of them in a constant optimal state.
• You’ve learned and have honed your method of how you pragmatically identify and prioritize the most promising hypotheses.
• You have examples of every business metric you’ve moved through DS, as this is the best way you’ve learned to measure your impact.
• Science Hands-On
• You have a rich experience with many EDA techniques. You know how to use the right one for a specific problem.
• You have a track record of end-to-end model delivery by yourself. Developing, training, deploying, you’ve been through it all and know how to navigate the lifecycle efficiently.
• You have a large toolbox you’ve been assembling for years, from R/Python, through SQL, statistical methods, distributed "big data" technologies (e.g., Spark, Hive, BigQuery, redshift), GCP/AWS/Azure ecosystems and their different SaaS experience. And you know when to use the right tool for the job and not the other way around.
• Stakeholder management
• You are proficient in translating data science efforts into business language, you understand that “if you can’t explain it simply, you don’t really understand it”
• You spent your time and energy creating strong relationships with other teams. Whether they were in product or internally in analytics, you can speak the language that will create bonds. And have a track record to show it.
• Progression of Champions
• A history of experience through the trenches: growing up in statistics, analytics, and DS, serving as a tech lead, leading scientists, Seniors, and Staff scientists.
• You wore different hats, and you’ve walked a mile in different shoes.

• You like to have a good time while getting things done. When we say a “team player,” we mean it - you have a crisp high-five and funny stories to tell. You have your team’s back, and the team has yours.
• You love learning new things: You know that there’s always more to learn. You’re up-to-date on new trends in data – you know who’s using what to solve various problems and are excited for the next release of your favorite tool.

• Past experience in the Esports/Gaming/Betting/Events industry would be a great asset.
• You make the time to cheer and enjoy the ride.