276 to 300 of 535 Data Science Jobs in Central London

/2 days a week in the office Salary: Up to £90/95k + £7.5k Car allowance + 20% bonus Pet care Are you passionate about using data and technology to make a real-world difference? Join a global leader in pet health and nutrition that’s harnessing the power of AI and machine learning to create a … better world for pets — and the people who care for them. This company organisation is transforming how we understand and deliver pet wellbeing through data-driven insights. They bring together expertise in veterinary science, nutrition, and digital innovation to improve the lives of millions of pets around the world. This is your opportunity to be part of a … cutting-edge technology meets genuine purpose. The Role: I’m seeking a Lead Machine Learning Engineer to drive the design, deployment, and scaling of ML solutions across our global data ecosystem. You’ll be the technical lead for machine learning and AI engineering — building production-ready systems, enabling seamless collaboration with data scientists, and shaping the long-term More ❯

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 … 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 More ❯

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 … 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 More ❯

across all channels, for our customers, and establish TCS as #1 leader in the Digital Interactive space. Design the technical backbone that powers real-time, personalised customer experiences. Connect data, platforms, and strategy to unlock scalable, intelligent marketing. Architect solutions that turn complex customer journeys into seamless brand interactions. The Role As a MarTech Technical Architect , you will design … enterprise-grade, multi-product MarTech solutions that integrate customer data, campaign orchestration, and analytics. You will create blueprints, integration patterns, and data architectures that enable real-time personalization and scalable marketing operations. Your responsibilities: Lead the technical solution design for multi-platform implementations (Adobe Experience Cloud, CDPs, Braze, Salesforce Marketing Cloud). Design data architecture including XDM …/XDB schemas (AEP), identity graphs, event models, and canonical data models for customer 360. Define integration patterns: API-first approaches, event streaming (Kafka, Pub/Sub), batch ETL/ELT, and data warehouse connectors (Snowflake, BigQuery). Specify security, compliance, and privacy controls (PII handling, encryption, consent propagation). Develop migration strategies and cutover plans for legacy More ❯

across all channels, for our customers, and establish TCS as #1 leader in the Digital Interactive space. Design the technical backbone that powers real-time, personalised customer experiences. Connect data, platforms, and strategy to unlock scalable, intelligent marketing. Architect solutions that turn complex customer journeys into seamless brand interactions. The Role As a MarTech Technical Architect , you will design … enterprise-grade, multi-product MarTech solutions that integrate customer data, campaign orchestration, and analytics. You will create blueprints, integration patterns, and data architectures that enable real-time personalization and scalable marketing operations. Your responsibilities: Lead the technical solution design for multi-platform implementations (Adobe Experience Cloud, CDPs, Braze, Salesforce Marketing Cloud). Design data architecture including XDM …/XDB schemas (AEP), identity graphs, event models, and canonical data models for customer 360. Define integration patterns: API-first approaches, event streaming (Kafka, Pub/Sub), batch ETL/ELT, and data warehouse connectors (Snowflake, BigQuery). Specify security, compliance, and privacy controls (PII handling, encryption, consent propagation). Develop migration strategies and cutover plans for legacy More ❯

Chief Data Scientist x3–4 days a week in the office (nearest station: Camden Town) About the Role & Company This high-growth technology company has rapidly scaled a platform that blends on-demand solutions with intelligent optimisation. It helps thousands of businesses improve work management, service quality, and operational performance in real time. After launching a new AI product … seven-figure annual recurring revenue within its first year, the business is now preparing for further UK expansion and a move into international markets. They are hiring a Chief Data Scientist to take things to the next level. This person will lead technical direction, guide a growing team, and remain closely involved in delivering machine learning systems that power … What You’ll Be Doing Set the overall AI strategy and ensure it connects clearly to product outcomes, user value, and business growth Lead and support a team of Data Scientists and ML Engineers while maintaining a strong personal technical contribution Design and scale ML solutions focused on forecasting, optimisation, and real-time performance enhancement Build the infrastructure needed More ❯

Chief Data Scientist x3–4 days a week in the office (nearest station: Camden Town) About the Role & Company This high-growth technology company has rapidly scaled a platform that blends on-demand solutions with intelligent optimisation. It helps thousands of businesses improve work management, service quality, and operational performance in real time. After launching a new AI product … seven-figure annual recurring revenue within its first year, the business is now preparing for further UK expansion and a move into international markets. They are hiring a Chief Data Scientist to take things to the next level. This person will lead technical direction, guide a growing team, and remain closely involved in delivering machine learning systems that power … What You’ll Be Doing Set the overall AI strategy and ensure it connects clearly to product outcomes, user value, and business growth Lead and support a team of Data Scientists and ML Engineers while maintaining a strong personal technical contribution Design and scale ML solutions focused on forecasting, optimisation, and real-time performance enhancement Build the infrastructure needed More ❯

machine learning systems to work on projects that deliver real business impact across the banking and finance sector . You’ll collaborate with an international team of AI engineers, data scientists, and software developers to design, build, and deploy scalable AI-driven products that automate data workflows, enhance analytics, and improve decision-making capabilities. What You’ll Be … production-ready solutions Contributing to the evolution of internal frameworks and best practices for AI deployment What We’re Looking For 1–3 years of experience in AI engineering, data engineering, or software development Demonstrable experience delivering AI, LLM, or data-driven applications Strong programming skills in Python (e.g. PyTorch, TensorFlow, scikit-learn) and/or TypeScript/… learning, technical mentorship, and clear progression opportunities 🛠️ Modern Tech Stack: Work with state-of-the-art AI, LLM, and cloud technologies 🤝 Collaborative Culture: Join an innovative, global engineering and data science team ✨ Additional Perks: Pension scheme, private healthcare, and wellbeing initiatives How to Apply If you’re passionate about applying your AI and engineering expertise to deliver cutting More ❯

machine learning systems to work on projects that deliver real business impact across the banking and finance sector . You’ll collaborate with an international team of AI engineers, data scientists, and software developers to design, build, and deploy scalable AI-driven products that automate data workflows, enhance analytics, and improve decision-making capabilities. What You’ll Be … production-ready solutions Contributing to the evolution of internal frameworks and best practices for AI deployment What We’re Looking For 1–3 years of experience in AI engineering, data engineering, or software development Demonstrable experience delivering AI, LLM, or data-driven applications Strong programming skills in Python (e.g. PyTorch, TensorFlow, scikit-learn) and/or TypeScript/… learning, technical mentorship, and clear progression opportunities 🛠️ Modern Tech Stack: Work with state-of-the-art AI, LLM, and cloud technologies 🤝 Collaborative Culture: Join an innovative, global engineering and data science team ✨ Additional Perks: Pension scheme, private healthcare, and wellbeing initiatives How to Apply If you’re passionate about applying your AI and engineering expertise to deliver cutting More ❯

Senior Data Scientist | Lead Data Scientist | Data Engineering | Machine Learning | Cloud Computing | SC Cleared or Clearable | 2 days a week | £85,000 plus 15% bonus I am currently working with a brilliant consultancy with deep expertise in their field of Data and Cyber Security solutions, predominantly with Central Government organisations but they also have strong ties … a result they are involved in some of the most challenging yet rewarding large scale technical projects in the country. They are currently looking for a Senior or Lead Data Scientist, this will be a blend of client facing skills aka, the ability to understand business problems, create a novel models/solutions to help that client and communicate More ❯

Senior Data Scientist | Lead Data Scientist | Data Engineering | Machine Learning | Cloud Computing | SC Cleared or Clearable | 2 days a week | £85,000 plus 15% bonus I am currently working with a brilliant consultancy with deep expertise in their field of Data and Cyber Security solutions, predominantly with Central Government organisations but they also have strong ties … a result they are involved in some of the most challenging yet rewarding large scale technical projects in the country. They are currently looking for a Senior or Lead Data Scientist, this will be a blend of client facing skills aka, the ability to understand business problems, create a novel models/solutions to help that client and communicate More ❯

We are looking for Data Engineers suitable for a group of world-class investment and trading firms that are actively expanding their data engineering functions. Each environment is highly technical, research-driven, and deeply data-centric — offering the opportunity to work on systems and pipelines that directly influence investment decisions. These positions sit within core data teams, responsible for building and maintaining the infrastructure that underpins everything from quantitative research to real-time trading and analytics. You’ll work closely with developers, data scientists, and researchers to ensure clean, accurate, and reliable data is available across the business. This is a fantastic opportunity for early-career engineers (1–5 years’ experience) who want … to accelerate their development in an environment that values intellectual curiosity, technical depth, and end-to-end ownership. The Role Design, build, and optimise data pipelines and ETL processes that feed critical research and trading systems. Engineer scalable, automated solutions for data ingestion, cleaning, and validation across multiple structured and unstructured sources. Collaborate with researchers, technologists, and analysts More ❯

We are looking for Data Engineers suitable for a group of world-class investment and trading firms that are actively expanding their data engineering functions. Each environment is highly technical, research-driven, and deeply data-centric — offering the opportunity to work on systems and pipelines that directly influence investment decisions. These positions sit within core data teams, responsible for building and maintaining the infrastructure that underpins everything from quantitative research to real-time trading and analytics. You’ll work closely with developers, data scientists, and researchers to ensure clean, accurate, and reliable data is available across the business. This is a fantastic opportunity for early-career engineers (1–5 years’ experience) who want … to accelerate their development in an environment that values intellectual curiosity, technical depth, and end-to-end ownership. The Role Design, build, and optimise data pipelines and ETL processes that feed critical research and trading systems. Engineer scalable, automated solutions for data ingestion, cleaning, and validation across multiple structured and unstructured sources. Collaborate with researchers, technologists, and analysts More ❯

proven track record in designing and creating ETL pipelines to support major customer initiatives at the early stages of projects. This individual will play a critical role in our data engineering team, contributing to the development and maintenance of robust and scalable data solutions. Responsibilities include the following: Responsibilities: Strong Palantir experience is desirable 🌳 ETL Pipeline Design and … Implementation: Design, develop, and implement efficient and scalable ETL pipelines to support the extraction, transformation, and loading of data from diverse sources. Ensure the pipelines are optimized for performance, reliability, and maintainability. 🌳 AWS Expertise: Utilize AWS services for data storage, processing, and analytics. Leverage AWS technologies such as S3, Glue, Redshift, and others to build and maintain data solutions. Implement best practices for security and compliance in an AWS environment. 🌳 Python Programming: Demonstrate proficiency in Python programming for data processing and manipulation. Develop custom scripts and applications as needed to enhance ETL processes. 🌳 Collaboration and Communication: Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver More ❯

creating, testing, and validating optimization models that improve how Amazon allocates and schedules its last-mile delivery fleet across Europe. This is a great opportunity to apply your analytical, data-handling, and problem-solving skills in a fast-paced logistics environment where data science meets operations. Key Responsibilities Create, test, and analyze User Acceptance Test (UAT) scenarios … to validate science optimization models. Work with real business data to test and refine model performance. Support integration of optimization models into fleet scheduling tools . Collaborate with a Senior Fleet Supply Chain Manager and cross-functional teams to translate business requirements into testing and analytical frameworks. Identify process improvements and help operationalize automation solutions. About the Team … plans ensuring Delivery Stations (DS) and Delivery Service Partners (DSP) have the right number of vehicles to complete last-mile delivery routes. The team is building automation tools and science-based models to make planning faster, more accurate, and more efficient. Candidate Profile Top 3 Must-Have Skills: Data analysis and management (Advanced Excel required; SQL a plus More ❯

creating, testing, and validating optimization models that improve how Amazon allocates and schedules its last-mile delivery fleet across Europe. This is a great opportunity to apply your analytical, data-handling, and problem-solving skills in a fast-paced logistics environment where data science meets operations. Key Responsibilities Create, test, and analyze User Acceptance Test (UAT) scenarios … to validate science optimization models. Work with real business data to test and refine model performance. Support integration of optimization models into fleet scheduling tools . Collaborate with a Senior Fleet Supply Chain Manager and cross-functional teams to translate business requirements into testing and analytical frameworks. Identify process improvements and help operationalize automation solutions. About the Team … plans ensuring Delivery Stations (DS) and Delivery Service Partners (DSP) have the right number of vehicles to complete last-mile delivery routes. The team is building automation tools and science-based models to make planning faster, more accurate, and more efficient. Candidate Profile Top 3 Must-Have Skills: Data analysis and management (Advanced Excel required; SQL a plus More ❯

Remote Role – Central London Office This is a fully remote role but you MUST be UK based and not require a visa to work. Lead R Data Scientist - Sustainability The Organisation Our client develops cutting-edge navigator software for the global agricultural sector, helping farmers transition toward more sustainable practices through science-backed analytics. Their software provides direct … findings into practical models for farmers and land managers, enabling them to understand their systems better and build more sustainable, profitable operations. Position Overview We're seeking an experienced Data Engineer to join our client's Sustainability team as the lead technical specialist in our R-focused Research Software Engineering group. You'll create and maintain the technical infrastructure … that enables our sustainability experts and data scientists to develop innovative agricultural sustainability solutions. Core Functions Lead technical best practices across R package design, code architecture, documentation, and dependency management Establish and oversee versioning and CI/CD systems to enhance team workflows Guide team members in code architecture, development standards, and deployment processes Serve as the technical authority More ❯

Data ScientistHybrid Working - Local Site - 1-2 days a week on site.Financial ServicesLorien's leading banking client is looking for a number of Data Scientists to join them on a new long term project which will be working on GenAI-Powered Digital Assistant programme. What you'll do Collaborate with cross-functional teams to develop and enhance our … Apply a strong understanding of fundamental concepts-statistics, linear algebra, calculus, regression, classification, and time series analysis - to extract valuable insights from data. Be the driving force behind our data visualisation efforts - whether its Tableau, Power BI, or Cognos you'll create compelling visualisations that bring data to life. Contribute to the development of a fantastic visualisation layer … for analytics, making complex insights accessible and actionable. Key Skills and Experience NLP Mastery Proficiency in LLMs and transformer architecture. Deep understanding of traditional NLP techniques. Data & Visualisation Solid grasp of data visualisation tools (Tableau, Power BI, Cognos, etc.) Proficiency in Python visualisation libraries (Matplotlib, Seaborn.) SQL for data extraction and manipulation. Experience working with large datasets. More ❯

Databricks Tech Lead – Azure Data Engineering (Contract) We are looking for a highly technical, hands-on Databricks Tech Lead to join a large-scale digital transformation programme within the Energy Trading space. This role will focus on building, optimising, and scaling a data lake on Azure with particular emphasis on streaming pipelines, Delta Live Tables (DLT), and cost … efficient architecture. Role: Designing and developing streaming and batch data pipelines in Databricks (including DLT). Managing structured streaming in continuous mode, ensuring low-latency data delivery. Collaborating with architects, consultants, and business stakeholders to build a unified Azure-based lakehouse. Troubleshooting and optimising performance bottlenecks in high-volume streaming systems. Applying best practices for cloud cost management … and efficient Databricks resource usage. Integrating data from on-prem and cloud sources using tools like Qlik Replicate (CDC). Supporting future phases involving data science and machine learning enablement. Tech Environment Platform: Azure Core Tools: Databricks, Delta Live Tables, Qlik Replicate (CDC) Architecture: Hybrid (on-prem + cloud) Data Modes: Real-time streaming & batch jobs More ❯

Databricks Tech Lead – Azure Data Engineering (Contract) We are looking for a highly technical, hands-on Databricks Tech Lead to join a large-scale digital transformation programme within the Energy Trading space. This role will focus on building, optimising, and scaling a data lake on Azure with particular emphasis on streaming pipelines, Delta Live Tables (DLT), and cost … efficient architecture. Role: Designing and developing streaming and batch data pipelines in Databricks (including DLT). Managing structured streaming in continuous mode, ensuring low-latency data delivery. Collaborating with architects, consultants, and business stakeholders to build a unified Azure-based lakehouse. Troubleshooting and optimising performance bottlenecks in high-volume streaming systems. Applying best practices for cloud cost management … and efficient Databricks resource usage. Integrating data from on-prem and cloud sources using tools like Qlik Replicate (CDC). Supporting future phases involving data science and machine learning enablement. Tech Environment Platform: Azure Core Tools: Databricks, Delta Live Tables, Qlik Replicate (CDC) Architecture: Hybrid (on-prem + cloud) Data Modes: Real-time streaming & batch jobs More ❯

Data Scientist Hybrid Working – Local Site – 1-2 days a week on site. Financial Services Lorien's leading banking client is looking for a number of Data Scientists to join them on a new long term project which will be working on GenAI-Powered Digital Assistant programme. What you’ll do Collaborate with cross-functional teams to develop … Apply a strong understanding of fundamental concepts-statistics, linear algebra, calculus, regression, classification, and time series analysis – to extract valuable insights from data. Be the driving force behind our data visualisation efforts – whether its Tableau, Power BI, or Cognos you’ll create compelling visualisations that bring data to life. Contribute to the development of a fantastic visualisation layer … for analytics, making complex insights accessible and actionable. Key Skills and Experience NLP Mastery Proficiency in LLMs and transformer architecture. Deep understanding of traditional NLP techniques. Data & Visualisation Solid grasp of data visualisation tools (Tableau, Power BI, Cognos, etc.) Proficiency in Python visualisation libraries (Matplotlib, Seaborn.) SQL for data extraction and manipulation. Experience working with large datasets. More ❯

Data Scientist Hybrid Working – Local Site – 1-2 days a week on site. Financial Services Lorien's leading banking client is looking for a number of Data Scientists to join them on a new long term project which will be working on GenAI-Powered Digital Assistant programme. What you’ll do Collaborate with cross-functional teams to develop … Apply a strong understanding of fundamental concepts-statistics, linear algebra, calculus, regression, classification, and time series analysis – to extract valuable insights from data. Be the driving force behind our data visualisation efforts – whether its Tableau, Power BI, or Cognos you’ll create compelling visualisations that bring data to life. Contribute to the development of a fantastic visualisation layer … for analytics, making complex insights accessible and actionable. Key Skills and Experience NLP Mastery Proficiency in LLMs and transformer architecture. Deep understanding of traditional NLP techniques. Data & Visualisation Solid grasp of data visualisation tools (Tableau, Power BI, Cognos, etc.) Proficiency in Python visualisation libraries (Matplotlib, Seaborn.) SQL for data extraction and manipulation. Experience working with large datasets. More ❯

We're seeking a highly skilled and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate … across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and … reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version control More ❯

We're seeking a highly skilled and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate … across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and … reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version control More ❯

Start ASAP | Outside IR35 To apply, email: jordanna.ramsey@searchability.com THE OPPORTUNITY A new contract opportunity for an AI Engineer to join a cutting-edge AI Sports company revolutionising how data and machine learning drive athletic performance, fan engagement, and predictive analytics in the sports industry. You’ll be part of a highly skilled R&D team building next-generation … time insights, performance optimisation, and immersive sports analytics. THE ROLE Design, develop, and deploy AI/ML models focused on sports analytics, predictive modelling, and computer vision. Collaborate with data scientists, software engineers, and sports analysts to translate real-world data into actionable insights. Optimise AI systems for real-time environments, integrating with live data feeds and … deployment pipelines. TECH STACK/REQUIREMENTS Core Skills: Python, TensorFlow/PyTorch, scikit-learn, OpenCV, NumPy, Pandas Experience With: Model training, tuning, and deployment in production environments Preferred: Sports data analytics, time-series forecasting, or computer vision experience Infrastructure: AWS/GCP/Azure, Docker, Kubernetes, MLflow, CI/CD pipelines Bonus: Experience with wearable/sensor data More ❯