450 Data Scientist jobs in London

Junior Data Scientist / Data Engineer
London (Hybrid - 2 Days in Office per Week)
Permanent - 60,000

Ready to grow your career in data science?

This is a greenfield opportunity in the media tech space - perfect for someone early in their data career who wants to build, not just maintain. You'll be involved from day one, shaping systems and workflows from scratch and making a real impact with hands-on work in automation, data extraction and transformation, and feeding data into LLMs (Large Language Models).

What We're Looking For:

• Ideally 2 years' experience in data science or data engineering, or a strong academic background (e.g., Computer Science, Maths, Physics) with some hands-on data project experience.
• Strong problem-solving mindset and a genuine curiosity for applying data to real-world challenges.
• Interest in modern tools and technologies, with a drive to learn and grow.

What You'll Be Doing:

• Working on end-to-end data workflows from collection to transformation and model integration
• Helping to architect and implement data systems from the ground up
• Collaborating in a supportive team environment using modern tech

This is a role with room to learn, contribute, and make a difference - ideal for someone looking to take their skills to the next level in a fast-moving, tech-driven environment.

If you are looking and interested to find out more information, please apply with a copy of your CV

Requirements:

Experience: 3-4 years
Ability to analyse findings and requirements
Ability to understand MI governance (thresholds, KPIs, KRIs, definitions)
PM supporting in the preparation of governance meetings decks and chasing agreed actions
Develop potential IT requirements to address local findings.
Support testing the fixes in pre and pro environments and gather evidences
Strong Excel skills as will be doing data analytics
Desirable Santander experience
Desirable previous experience within RAC

Job Description:

• We are seeking a highly skilled and analytical Data Scientist to join our Banking Partner team. In this role, you will leverage data-driven insights to support strategic decision-making, enhance customer experience, and drive innovation in banking products and services.
• Develop, deploy, and maintain machine learning models and statistical algorithms for banking applications such as credit risk, fraud detection, customer segmentation, churn prediction, and personalization.
• Work with large structured and unstructured datasets; clean, transform, and analyze data using SQL, Python, R, or similar tools.
  

Job Title: Data Scientist

We're looking for a sharp, strategic Data Scientist to lead the development of scientific standards for evaluating competitor data-especially market share insights. You'll design methods to improve reliability, support senior leaders with actionable intelligence, and mentor colleagues across projects and domains.

What you'll do:
* Build models to assess and replace costly market share data sources
* Advise teams and elevate data capabilities across the business
* Drive competitor insight strategies for high-impact decision-making
Key skills: Python, SQL, Data Modeling, Machine Learning, Market Research, Big Data, Operations Research

Hybrid: London 2 days

Day Rate: Outside

Please send me your CV to (url removed)

Requirements:

Experience: 3-4 years
Ability to analyse findings and requirements
Ability to understand MI governance (thresholds, KPIs, KRIs, definitions)
PM supporting in the preparation of governance meetings decks and chasing agreed actions
Develop potential IT requirements to address local findings.
Support testing the fixes in pre and pro environments and gather evidences
Strong Excel skills as will be doing data analytics
Desirable Santander experience
Desirable previous experience within RAC

• Design, build, and deploy Python-based AI applications.
• Research and prototype advanced GenAI techniques, including fine-tuning, prompt engineering, RAG, and agentic systems.
• Develop LLM-assisted frameworks and contribute to scalable AI architectures.
• Write clean, maintainable, and well-documented code.
• Implement testing pipelines and evaluation frameworks.
• Collaborate with data scientists, software engineers, and domain experts to deliver high-impact solutions.

• Expert-level Python programming with libraries such as NumPy, Pandas, Scikit-learn, LangChain, LlamaIndex, and Azure AI Foundry.
• Strong experience with Azure and generative AI R&D.
• Practical knowledge of GenAI techniques including prompt orchestration, retrieval methods, and agentic frameworks (e.g., LangGraph, Semantic Kernel Agents).
• Ability to write production-ready code and apply robust quality control.
• Familiarity with software engineering best practices including version control, testing, and deployment.

• Experience building optimized AI workflows.
• Deep understanding of Microsoft Azure AI services.
• Strong data analytics and visualization skills (Excel, Alteryx).
• Awareness of Responsible AI principles.

Job Description:

• We are seeking a highly skilled and analytical Data Scientist to join our Banking Partner team. In this role, you will leverage data-driven insights to support strategic decision-making, enhance customer experience, and drive innovation in banking products and services.
• Develop, deploy, and maintain machine learning models and statistical algorithms for banking applications such as credit risk, fraud detection, customer segmentation, churn prediction, and personalization.
• Work with large structured and unstructured datasets; clean, transform, and analyze data using SQL, Python, R, or similar tools.
  

Junior Data Scientist / Data Engineer
London (Hybrid - 2 Days in Office per Week)
Permanent - 60,000

Ready to grow your career in data science?

This is a greenfield opportunity in the media tech space - perfect for someone early in their data career who wants to build, not just maintain. You'll be involved from day one, shaping systems and workflows from scratch and making a real impact with hands-on work in automation, data extraction and transformation, and feeding data into LLMs (Large Language Models).

What We're Looking For:

• Ideally 2 years' experience in data science or data engineering, or a strong academic background (e.g., Computer Science, Maths, Physics) with some hands-on data project experience.
• Strong problem-solving mindset and a genuine curiosity for applying data to real-world challenges.
• Interest in modern tools and technologies, with a drive to learn and grow.

What You'll Be Doing:

• Working on end-to-end data workflows from collection to transformation and model integration
• Helping to architect and implement data systems from the ground up
• Collaborating in a supportive team environment using modern tech

This is a role with room to learn, contribute, and make a difference - ideal for someone looking to take their skills to the next level in a fast-moving, tech-driven environment.

If you are looking and interested to find out more information, please apply with a copy of your CV

Data Scientist

Up to £70,000

London (Remote First)

Company:

Join a leading B2B Travel and Hospitality company that partners with major global airlines and hotel brands. In this role, you’ll drive revenue growth and elevate the e-commerce experience by leveraging advanced forecasting, automation, and data-driven insights.

Responsibilities:

• Guide technical efforts to improve the performance of deployed models and propose initiatives to shape the long-term scientific vision.
• Own and actively contribute to the design and development of internal machine learning and forecasting libraries.
• Work with product and data science management to develop key results for given product objectives.
• Establish scalable and efficient practices for data mining, ML model development, validation and inference.
• Building demand forecasting models
• Stay up-to-date on the most recent advances in AI and machine learning

Requirements:

• PhD Degree in Computer Science, Mathematics, Statistics or related fields.
• Strong coding skills in Python and SQL
• Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.
• Commercial experience in demand forecasting

**Please note that this role does not offer visa sponsorship**

How to Apply:

Please register your interest by sending your CV to Emily Burgess via the Apply link on this page