206 Data Scientists jobs in Greater 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

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

Are You Ready to Disrupt the AI Consulting Landscape?

Senior Data Science Consultant

Tired of the slow pace and rigid structures of traditional consulting? Imagine joining a firm that’s already hit a $10M revenue run rate a year ahead of schedule, with a $50M pipeline and explosive expansion across the UK, Europe, and the USA.

Our client isn't just growing; they're redefining how organisations adopt Data & AI.

Who They Are: Our client is a lean, agile, and fiercely effective data and AI consulting firm. They're a "hungry startup" backed by decades of experience from Big Four alumni, but unburdened by their overheads or motives. Their mission? Purely to solve complex client problems with speed, precision, and unparalleled value. They recently won a 7-figure contract against industry giants by being nimbler, more focused, and ultimately, more effective.

The Opportunity: They're seeking a Senior Data Science Consultant to join their rapidly expanding UK team in London. This role sits at the intersection of business strategy and technical execution, playing a pivotal role in delivering end-to-end projects for their clients, from initial conceptualisation and commercial strategy to final delivery and the assurance of high-quality data.

You will act as the crucial bridge between business needs and technical solutions, driving both strategic oversight and the technical rigor required for successful Data Science initiatives.

Qualifications & Experience

• 5+ years of professional experience , ideally within a consulting or advisory capacity, with a significant focus on data science, data quality, and governance.
• Proven experience in end-to-end project delivery , including conceptualisation, commercialisation, and implementation of data and AI solutions.
• Strong understanding of data strategy, governance, and platform architecture .
• Demonstrable technical background in applying statistical, machine learning, or data science techniques to solve business problems, particularly in data quality or data validation.
• Experience with use case development and data monetisation is highly desirable.
• Exceptional communication, leadership, and stakeholder management skills , with the ability to bridge technical and business domains.
• Experience in one or more of the following industries: Banking, Financial Services, Insurance, Telecom, Retail, E-commerce, or Manufacturing .
• Based in or around London and able to travel as needed for client engagements.

Why Them?

• Impact: Work on high-stakes projects that genuinely transform businesses.
• Agility: Say goodbye to corporate bureaucracy; make decisions and drive change swiftly.
• Growth: Be a foundational member of a UK team scaling dramatically within a globally expanding firm.
• Reward: A highly competitive, market-plus salary and a culture that truly values your expertise.

If you're an experienced consultant ready to move faster, achieve more, and be part of a genuine market disruptor, we want to hear from you.

At Quotacom, we take the security and privacy of your personal data very seriously, any data we hold will be in accordance with data protection legislation. Full details of our privacy notice can be found at -notice/

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.

Job Title: Senior Pharmacoepidemiologist – RWE & Data Science

Location: London (Hybrid)

Salary: £60,000 – £90,000 DOE

About the Role

A venture-backed TechBio company in London is hiring a senior-level epidemiologist or RWE programmer to help build the future of data-driven drug development.

You’ll join a team that’s rethinking the traditional model - developing internal tools, working directly with biopharma partners, and applying real-world evidence to accelerate drug development.

This role combines scientific depth with software fluency. It’s ideal for someone who thrives at the intersection of health data, analytics, and product-led strategy.

Key Responsibilities

• Design and analyse non-interventional studies, including regulatory-grade and exploratory projects
• Collaborate with engineering to build internal tools that support and scale RWE applications
• Engage with external partners to guide RWE strategy and deliver high-quality outputs
• Translate complex data into actionable insights for internal stakeholders and regulators
• Lead protocol and SAP development, contribute to CSRs and publication strategy
• Apply modern causal inference techniques to support study validity and robustness

Ideal Candidate

• MSc/PhD in Epidemiology, Pharmacoepidemiology or a science-based subject (biochemistry etc)
• Strong coding skills in SQL plus R or Python (this is non-negotiable)
• Experience delivering end-to-end observational studies using real-world datasets
• Proficient in study design, regulatory writing (protocols, SAPs, TFLs, CSRs)
• Knowledge of coding systems (ICD, SNOMED, GPI, HCPCS) and RWD sources (claims, EHR, registries)
• Familiar with regulatory trends around pragmatic trials, external control arms, and synthetic cohorts
• Skilled in handling and cleaning messy, multimodal data
• Confident using methods such as propensity score matching, IP weighting, and IV analysis
• Excellent communication skills with the ability to distil complex findings for different audiences

Bonus Experience

• Prior work in a startup, biotech or agile CRO
• Hands-on work with MarketScan, Flatiron Health , or Premier datasets
• Understanding of product development processes in tech-enabled life sciences companies

This is an opportunity to join a company that’s not just running studies, but building the future of drug development infrastructure. If you’ve got the technical depth, strategic mindset and coding fluency to back it up - get in touch.

Apply with a copy of your CV to:

Do you want to design and lead AI strategy across a PE portfolio?

Have you built and delivered AI/ML systems that directly impacted business outcomes?

Are you ready to work with board-level leaders to define how AI transforms financial services?

A specialist private equity firm is hiring a Principal or Director of Data & AI to lead strategic and technical AI initiatives across its portfolio of financial services and fintech companies. The firm operates internationally and maintains a collaborative, flat-structured team culture with a strong emphasis on innovation, impact, and value creation.

This role sits within their internal innovation and value creation function. You will work closely with investment teams, portfolio executives, and internal stakeholders to deploy LLMs, design AI strategies, and build capabilities that drive measurable impact across the group.

This person needs financial services/banking/capital markets domain expertise.

Key Responsibilities

• Design and deliver AI & data strategies across portfolio companies and internal teams
• Lead technical diligence on AI-readiness and opportunities during deal evaluation
• Build and deploy reusable LLM/AI/ML systems (agents, copilots, etc.) to unlock value
• Define governance frameworks across risk, explainability, audit, and compliance
• Own internal AI transformation—deploying tools, platforms, and training programmes
• Build and manage a small, high-performing AI team (strategists, engineers, architects)
• Act as a thought leader across the portfolio, publishing insights and sharing best practices

Key Details

• Location : London (hybrid, 2 days/week in-office)
• Director: £120,000–£00,000 base + ~20% bonus
• Principal: 20,000–£1 ,000 base + ~20%+ bonus
• Team : 3–4 person AI team within a 100-person private equity firm
• Tech Stack : Python, LLMs, MLOps, cloud (Azure, AWS, GCP), agentic systems
• Visa Sponsorship : Happy to sponsor

Interested? Please apply below.