Didn't find the right job?

Get expert career advice to help you find the ideal role and improve your job search strategy.

181 Data Science Consultant jobs in London

Data Science Consultant - London

London, London Capgemini

Posted today

Tap Again To Close

Job Description

Data Science Consultant - London Reference Code: -en_GBContract Type: PermanentProfessional Communities: Strategy & Transformation

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.

This advertiser has chosen not to accept applicants from your region.

frog - Data Science Customer Data & Technology - Consultant/Senior Consultant - London

London, London Capgemini

Posted today

Tap Again To Close

Job Description

frog - Data Science Customer Data & Technology - Consultant/Senior Consultant - London Reference Code: -en_GBContract Type: PermanentProfessional Communities: Strategy & Transformation

Why Join frog

Since June 2021, frog is part of Capgemini Invent. frog partners with customer-centric enterprises to drive sustainable growth, by building and orchestrating experiences at scale, while harnessing the power of data and technology. We’re inventing the future of customer experiences by delivering market-defining business models, products, services, brand engagements and communications.

Joining frog means you’ll be joining the “pond,” a global network of studios, each with a thriving in-person and vibrant virtual culture. frogs are curious, collaborative, and courageous, united by our passion for improving the human experience across our areas of expertise, while each bringing our unique and diverse skills and experiences to the table. We draw on our global reach and local knowledge to solve complex problems and create innovative, sustainable solutions that touch hearts and move markets. frogs prize humour, positivity, and community just as highly as performance and outcomes. Our culture is open, flexible, inclusive, and engaging. Working at frog means being empowered to meet the moment, and Make Your Mark on every project, in your studio, your community—and the world at large.

An Overview Of The Role

Due to growth, we are seeking highly skilled Consultants and Senior Consultants to join frog Data.

Our ideal candidate will have knowledge and previous experience in Generative AI (Gen AI) and Large Language Models (LLM) development and evaluation. The ideal candidate will have extensive experience in customer behaviour analytics, marketing, commercial, web, or product analytics, and possess domain knowledge in marketing, customer, digital, and commercial sectors. Additionally, the candidate should have strong project management and people management skills.

What We Look For

Previous experience in data science, with proven experience in Generative AI and LLM development and evaluation.
Hands-on experience in customer behaviour analytics, marketing, commercial, web, or product analytics with core focus in customer experience (if available)
Build and evaluate Generative AI solutions and Large Language Models (LLMs) for various use cases.
Develop and implement machine learning models, including predictive, forecasting, classification, and deep learning models.
Experience in working with various data sets, including transactional/EPOS, digital, social, loyalty etc.
Hands on experience in using programming languages such as Python
Knowledge of cloud platforms and tools for data science and machine learning.
Utilise visualization tools such as Power BI or Tableau to present data insights effectively.
Collaborate with cross-functional teams to understand business challenges and create valuables products/solutions
Proven project management experience, including planning, execution, and successful delivery of AI/ML POCs, MVPs and production grade solutions.
People management skills, including mentoring, guiding, and developing team members.

It Would Be a Bonus If You Have

Experience in primary growth sectors; CPR (Consumer Products & Retail), ETU (Energy, Utilities, and Telecommunications), and PS (Public Sector).
Familiarity with Agentic AI development
Familiarity with ethical considerations and best practices in AI and data science.
A Curious mindset and interest with the latest advancements in AI, machine learning, and data science space

Need To Know

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.

CSR

Whilst you will have London 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.

About Capgemini Invent

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 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 fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

More information is at available at:

This advertiser has chosen not to accept applicants from your region.

Machine Learning Researcher

London, London Radley James

Posted today

Tap Again To Close

Job Description

A leading global hedge fund is looking to speak with Machine Learning researchers from any industry background who might be interested in applying their expertise to the trading domain. You'll be working alongside experienced portfolio management/trading teams to research and implement machine learning strategies to search for alphas in large, unstructured data sets. Requirements: -PhD in Machine Learning or related discipline. -3 years industry experience applying innovative ML research to real-world problems. -Experience with large-scale data sets and unstructured data sources. -Interest in quantitative trading. -Hands-on coding experience in Python and/or compiled languages.

This advertiser has chosen not to accept applicants from your region.

Machine Learning Engineer

London, London Digital Waffle

Posted today

Tap Again To Close

Job Description

An AI-driven start-up, backed by $20M in Series A funding, is looking for its first Machine Learning Engineer to help scale their product and infrastructure. The platform transforms educational content into smart, personalised learning tools - and is already seeing rapid user growth and strong traction in the market. This is a unique opportunity to join early, influence the technical roadmap, and work directly with experienced founders and a senior engineering team. What you’ll be doing: Designing, building and deploying ML-powered features across a production platform Working across Python and TypeScript , integrating models into scalable, real-time systems Fine-tuning and training NLP models using techniques like transformers Driving the machine learning strategy and building best practices from the ground up Collaborating closely with product, engineering, and leadership What we’re looking for: Strong commercial experience building and deploying ML models in production Proficiency in Python and familiarity with TypeScript/JavaScript Experience with NLP or recommendation systems is a bonus Excited by start-ups: product-minded, hands-on, and motivated by impact What’s on offer: £100,000 - £120,000 salary meaningful equity 4 days/week in a modern London office near Liverpool St Greenfield ML ownership with direct access to founding team A chance to shape the future of an AI product already loved by users

This advertiser has chosen not to accept applicants from your region.

Machine Learning Engineer

London, London Solvo.ai

Posted today

Tap Again To Close

Job Description

permanent

Please note this Role is based in London, local candidates only! Solvo.ai is redefining global container shipping with AI. We build machine learning systems that power intelligent, sustainable, and profitable decision-making for one of the world’s most complex industries. Nothing we do is hypothetical. Everything we do has a measurable impact. Our combined experience of over 100 years in logistics, artificial intelligence and scaling startups allows us to innovate boundlessly, constantly push the frontiers of what’s possible, and generate revolutionary tools to deliver business impact to our customers. We stand proudly, not just for what we achieve, but for how we achieve it - creating trust through professionalism, integrity, and transparency. The role: We are looking for an exceptional Machine Learning Engineer (MLE) to join our team and accelerate the next generation of Solvo’s AI products. This is a hands-on role at the intersection of research and production, where your work will ensure our customers get maximum value out of our solutions. The ideal candidate for this role will get stuck in across the organisation, moving naturally from intricate data analysis, through detailed ML considerations and onto the broader business context. You will have the freedom to propose, research and implement innovative new ideas to improve our system. If you want to apply cutting-edge machine learning to a trillion-dollar industry, and you’re motivated by seeing your work have immediate business impact, we’d love to hear from you. Your responsibilities Innovate on Solvo’s modelling and decision making solution. Create value for customers through application of ML principles and best practice. Strive for high quality and robust outcomes. Continuously ensure we are using the most appropriate ML modelling techniques for customer projects and our product offerings. Design and develop production-grade software, ensuring scalability and performance. Collaborate closely with scientists and engineers in an agile team environment. Facilitate understanding of our AI solutions internally and externally. Continuously develop your own AI/ML and engineering skills. Essential skills and experience Academic or industrial research experience in machine learning, especially probabilistic models and Bayesian statistics. Proficiency in designing and programming advanced ML algorithms. Ability to apply state-of-the-art research to real-world problems. Proficiency in operating and evolving advanced ML systems in a production environment. Strong communication skills with the ability to convey complex ideas to both technical and non-technical audiences. Advanced degree (PhD/MSc) in a relevant field (e.g., Computer Science, Statistics, Applied Mathematics). Experience working in an agile team environment. Desired qualifications, skills and experience PhD degree in a relevant field. Good working knowledge of optimisation (linear programming). Strong experience with Python and standard ML libraries. Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure). Equal employment opportunity Solvo.ai is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Benefits A competitive compensation package including equity Career growth opportunities on a personal and professional level Be part of a very talented, collaborative team that continuously strives for innovative solutions A friendly work environment where you are expected to challenge and be challenged every single day 25 days paid holiday Job type: full-time; permanent contract; On-site (hybrid)Location London, United Kingdom

This advertiser has chosen not to accept applicants from your region.

Machine Learning Engineer

London, London SGI

Posted today

Tap Again To Close

Job Description

Machine learning Quantitative Engineer London - Hybrid working Rate - £1,200 Key Responsibilities Research, design, and implement machine learning and quantitative models for pricing, trading signals, and risk management across Fixed Income products (rates, credit, FX, mortgages). Apply advanced statistical learning methods (time-series, NLP, deep learning, reinforcement learning, graph-based models) to large-scale, high-frequency, and alternative datasets. Engineer robust data pipelines and real-time model deployment frameworks to support production trading environments. Collaborate with traders, quants, and technologists to prototype and scale strategies from research to execution. Conduct rigorous backtesting, performance analysis, and explainability assessments of machine learning models. Contribute to the development of quantitative libraries and shared research infrastructure. Qualifications & Skills Essential: Strong expertise in machine learning, statistical modelling, and numerical methods with practical applications. Proficiency in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) and experience with C++ or Java for high-performance model integration. Solid understanding of Fixed Income products, yield curve modelling, and financial mathematics. Experience building production-level ML systems in low-latency or large-scale environments. Strong communication skills with the ability to interact effectively with both technical and trading stakeholders. Desirable: Previous front-office or systematic trading desk experience. Familiarity with modern MLOps (Docker, Kubernetes, MLflow, Airflow) and distributed computing (Spark, Ray). Experience with alpha signal generation, regime detection, or portfolio optimization. Exposure to alternative/ESG datasets, macroeconomic indicators, and sentiment analysis.

This advertiser has chosen not to accept applicants from your region.

Machine Learning Engineer

London, London Intellect Group

Posted today

Tap Again To Close

Job Description

contract

Are you a Machine Learning Engineer ready to kickstart your career in AI? We’re looking for a driven and detail-oriented Machine Learning Engineer to join our hybrid-working team in London. You’ll collaborate with talented engineers and data scientists to build and deploy intelligent systems that transform unstructured data into actionable insight. You’ll be joining a fast-growing AI company developing automation solutions that extract meaning from emails, documents, and other unstructured communications — turning them into structured data and insights that drive real business decisions. Our technology powers next-generation AI workflows for enterprise clients across sectors like finance and professional services. This is an exciting opportunity for a recent graduate or early-career professional with up to one year of experience who’s passionate about machine learning, generative AI, and applying cutting-edge research to real-world challenges. In this role, you’ll: Design, train, and evaluate machine learning and deep learning models for production environments Develop and optimise end-to-end ML pipelines — from data preparation to model deployment Experiment with advanced generative and predictive models , including diffusion, autoregressive, and transformer-based architectures Collaborate with data engineers and software developers to integrate AI solutions into scalable systems Contribute to research and experimentation around model performance, optimisation, and privacy-aware learning What’s in it for you? Career Growth – Build hands-on experience in cutting-edge AI while developing your technical expertise through mentorship and ongoing learning Impactful Work – Contribute to real-world projects where your models and insights directly shape intelligent products Collaborative Environment – Join a supportive, curious, and innovative team that values experimentation and creative problem-solving Hybrid Flexibility – Balance remote focus time with in-person collaboration at our London office Learning Pathway – Gain exposure to advanced ML frameworks and progress toward senior engineering roles as you grow What We’re Looking For: A degree in Artificial Intelligence, Computer Science, Mathematics, or a related field Proficiency in Python and experience with frameworks such as PyTorch , NumPy , or Scikit-learn Understanding of machine learning algorithms, optimisation, and model evaluation Strong mathematical reasoning and analytical problem-solving skills Excellent communication skills and a genuine passion for learning and innovation Nice to Have: Experience with JAX , Hydra , or Weights & Biases Exposure to GANs , diffusion models , or autoregressive architectures Knowledge of data privacy , machine unlearning , or secure ML methods Internship or academic project experience in AI research , data science , or software development If you’re ready to take your first step into applied machine learning and work on projects that push the boundaries of AI innovation — we’d love to hear from you. Apply now and be part of shaping the future of intelligent automation!

This advertiser has chosen not to accept applicants from your region.

Be The First To Know

About the latest Data science consultant Jobs in London !

Set Email Alert:

Enter your email

Job title

Location

Machine Learning Engineer

London, London Movement8

Posted today

Tap Again To Close

Job Description

Lead ML Engineer - Onsite 5 days a week - London Happy to look at European relocators An Edtech Start-up in London are building something transformative in the education space using cutting-edge machine learning. We're looking for a Lead ML Engineer to take ownership of the machine learning strategy, build out the team, and help shape the future of AI in education. Responsibilities: Build and lead a new ML team from the ground up. Define the tech stack for data pipelines and ML models. Develop generative models using diverse datasets (text, audio, video, test results). Design and deploy data integration and analysis pipelines. Collaborate with engineers and product managers to bring ML features to life. Create innovative language assessments and predictive models. Optimize models for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). Solid understanding of NLP algorithms. Experience integrating ML models via RESTful APIs. Familiarity with CI/CD pipelines and deployment automation. Strategic thinking around architecture and trade-offs. If interested please get in touch ASAP!

This advertiser has chosen not to accept applicants from your region.

Machine Learning Engineer

London, London Information Tech Consultants

Posted today

Tap Again To Close

Job Description

permanent

We're Hiring: Machine Learning Engineer (Urgent requirement - Immediate joiners needed) Location: Onsite (UK-based) Type: Full-time | Permanent Education: Master's in Science (IT/Computer Science/Engineer) Level: Junior to Mid Senior UK based candidates only. What are we looking for? Here at Information Tech Consultants Ltd (ITC) we are providing a unique opportunity for entry level Data Scientists to utilize our skills and expertise to become successful experienced Data Scientist, working with several highly recognized UK and International companies including multiple Fortune 500 and FTSE 100 Clients. You will provide professional consulting services working onsite for start-ups, medium and large sized companies. You will be working on large complex projects so you should be comfortable dealing with demanding stakeholders and providing time driven results. Innovation, Collaboration and Passion are the three core values that we look for in all our personnel. Who are we looking for: Applicants must be experienced working with the following: Essential Skills : · Machine Learning · SQL Server · Knowledge of Data analysis/Mining/Warehousing · Statistical Analysis · Linear Regression · Database Desired Skills : Experience with any of the following: · Python · Hadoop · R · Java/C++ Qualifications and Attitude: Master’s (Required) in Data Science, Mathematics, Statistics, Economics, IT related fields and 2- 5 years of experience in Information Technology. You should be entitled to work in the UK with legal work authorization status. Must be willing to travel within the UK as per project/client requirements. Excellent communication skills and teamwork skills.

This advertiser has chosen not to accept applicants from your region.

Machine Learning Researcher

London, London Radley James

Posted today

Tap Again To Close

Job Description

This advertiser has chosen not to accept applicants from your region.

Industry

View All Data Science Consultant Jobs View All Jobs in London

Menu

Search Suggestions

Recent Searches

Popular Searches

Location Suggestions

Popular Locations

Nearby Locations

Other Jobs Near Me

Industry

181 Data Science Consultant jobs in London

Data Science Consultant - London

Job Description

frog - Data Science Customer Data & Technology - Consultant/Senior Consultant - London

Job Description

Machine Learning Researcher

Job Description

Machine Learning Engineer

Job Description

Machine Learning Engineer

Job Description

Machine Learning Engineer

Job Description

Machine Learning Engineer

Job Description

Be The First To Know

Machine Learning Engineer

Job Description

Machine Learning Engineer

Job Description

Machine Learning Researcher

Job Description

Nearby Locations

Other Jobs Near Me

Industry