951 to 975 of 1,663 Data Science Jobs in London

Job Title: SC Cleared Data Engineer Location: London - regular travel to client sites will be required. Contract Type: Permanent Salary: All levels considered Overview: I'm currently seeking SC Cleared Data Engineer or Data Scientists to join my rapidly growing client. This exciting opportunity will involve working … on critical projects within the UK government sector, leveraging cutting-edge technologies to manage and process large-scale data sets. Key Responsibilities: Design, develop, and maintain data pipelines to process large datasets. Ensure the security, integrity, and quality of data in compliance with government standards. Collaborate with … cross-functional teams to deliver innovative data solutions. Troubleshoot and optimise data workflows for maximum performance and reliability. Requirements: Active SC clearance . Proven experience as a Data Engineer or Data Scientist, preferably in a government or consulting environment. Strong knowledge of programming languages (Python, SQL More ❯

Lead Data Engineer Location: Romford, Essex We have a fantastic opportunity for a Lead Data Engineer to lead a team within a global organisation with offices in Romford, Essex. This team's focus is on developing a portfolio of business intelligence services and products that support their customers … role: You will be responsible for the division's business intelligence domain (i.e. ingestion, pipelining, processing, semantic modelling and visualisations), as well as the data science domain where they will help build complex algorithms and models to solve some of the most interesting problems within the logistics industry. More ❯

Lead Data Engineer Location: Romford, Essex We have a fantastic opportunity for a Lead Data Engineer to lead a team within a global organisation with offices in Romford, Essex. This team's focus is on developing a portfolio of business intelligence services and products that support their customers … role: You will be responsible for the division's business intelligence domain (i.e. ingestion, pipelining, processing, semantic modelling and visualisations), as well as the data science domain where they will help build complex algorithms and models to solve some of the most interesting problems within the logistics industry. More ❯

Behavior Analytics 2025- UK Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering … modelling, and causal inference. This position is for a client-facing, project lead level role for someone who has deployed solutions that utilize customer data to generate value for the business. This role at other companies may be referred to as a Machine Learning Engineer or Data Scientist. … What you will do As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data through analytical problem solving. You will work with all levels of the client organization to build value driving solutions that extract insights and then train More ❯

BigData Scientist - Docklands, London Our client, an international organization, is looking to recruit a Big Data Expert with 2 to 5 years of experience as a Big Data Scientist. You will have knowledge and experience in Natural Language Processing (NLP) and will understand and analyze large datasets to … discover new insights. You will work in a multi-disciplinary team within a highly technical and complex environment. Well-versed in scalable data mining and machine learning techniques, including Kernel Methods, Deep Learning, Statistical Relational Learning, and Ensemble Methods. You will model using advanced statistical/mathematical models, predict … and segment data, and hypothesize/evolve use cases to monetize data and generate business value. You will translate business needs into technical requirements and implementation plans. Experience with Big Data technologies and analytics. Proficiency in C++, Java, Python, Shell Script; familiarity with R, Matlab, SAS Enterprise More ❯

They are looking for an experienced, commercially-focused, and passionate leader who will grow and manage the new customer analytics team as a senior data scientist. You will be building analytics models using a range of data science approaches, such as machine learning and statistical techniques, along … with wider analytical approaches such as time series and analytics with unstructured data (e.g., NLP). They recently used gradient boosting machine learning to predict radio listening behaviour for a client, taking into account advertising spend. The Successful Candidate Is Likely To Have: Commercial skills: Ability to talk confidently … or AWS and how to integrate R or Python analytical workflows would be highly desirable. Proven track record with accessing client customer databases and data lakes. Knowledge of the major secondary data-sets available, and experience of merging these to create additional insights. Experience with web scraping tools More ❯

Group university to join our dynamic team. This role is ideal for a candidate with a strong academic background in AI, machine learning, or data science, combined with a keen understanding of real-world business applications. You will play a crucial role in leveraging AI-driven insights to … to enhance company capabilities. Communicate technical concepts effectively to both technical and non-technical stakeholders. Assist in automating key business processes through AI and data-driven approaches. Ensure ethical AI practices and compliance with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or … other relevant languages (e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with cloud platforms such as AWS, Azure, or Google More ❯

Group university to join our dynamic team. This role is ideal for a candidate with a strong academic background in AI, machine learning, or data science, combined with a keen understanding of real-world business applications. You will play a crucial role in leveraging AI-driven insights to … to enhance company capabilities. Communicate technical concepts effectively to both technical and non-technical stakeholders. Assist in automating key business processes through AI and data-driven approaches. Ensure ethical AI practices and compliance with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or … other relevant languages (e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with cloud platforms such as AWS, Azure, or Google More ❯

leading asset management house based in the City of London. Due to a period of business and growth, they are now seeking a Performance Data Analyst on a 12 month contract basis. The Performance Data Analyst will take responsibility for the following: Delivering performance, attribution and ex post … risk statistics for regulated funds and segregated mandates. Migration of large data sets. Creation of macros to improve operational efficiency. Being a point of escalation for complex queries and reconciliation issues. Leading the design and development of investment performance reports. Supporting a new performance system implementation and taking a … lead role in designing new daily processes. Providing a high level of data expertise to internal stakeholder meetings, projects and client presentations. The Performance Data Analyst will meet the following skill set: Previous experience in a Data Analyst role within an investment management house. Experience of data More ❯

AI. Trusted by global leaders like Deutsche Bank, UBS, and the European Commission, our AI-powered platform enables teams to generate high-quality test data and test cases in seconds—slashing costs, accelerating delivery, and eliminating reliance on production data. We're a VC-backed company supported by top … standards, nurturing cross-functional collaboration, and driving continuous innovation. We’re looking for a proven leader with experience managing top-tier software engineering and data science teams, a deep understanding of data-intensive systems, and a strong passion for building elegant, scalable solutions. If you’re excited … initiatives and objectives. Develop and execute a robust technology strategy that leverages machine learning, backend development, and frontend design to create best-in-class data provisioning solutions. Serve as the technical lead, providing direction, effective delegation, tradeoff management, and strategic decision-making to steer the team towards success. Work More ❯

AI. Trusted by global leaders like Deutsche Bank, UBS, and the European Commission, our AI-powered platform enables teams to generate high-quality test data and test cases in seconds—slashing costs, accelerating delivery, and eliminating reliance on production data. We're a VC-backed company supported by top … standards, nurturing cross-functional collaboration, and driving continuous innovation. We’re looking for a proven leader with experience managing top-tier software engineering and data science teams, a deep understanding of data-intensive systems, and a strong passion for building elegant, scalable solutions. If you’re excited … initiatives and objectives. Develop and execute a robust technology strategy that leverages machine learning, backend development, and frontend design to create best-in-class data provisioning solutions. Serve as the technical lead, providing direction, effective delegation, tradeoff management, and strategic decision-making to steer the team towards success. Work More ❯

Company At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to … more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What You'll Do Teradata's comprehensive suite of AI/ML technologies and capabilities, externally branded as ClearScape Analytics, enable … account. Teradata Point of View & Roadmap - Stay current and influence Teradata AI strategy, roadmap and differentiation. Who You'll Work With Working closely with data scientists, industry strategists and partners the AI Industry Specialist will accelerate the ability to expand and acquire new customers, contribute to industry strategy and More ❯

Company At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to … more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What You'll Do Teradata's comprehensive suite of AI/ML technologies and capabilities, externally branded as ClearScape Analytics, enable … account. Teradata Point of View & Roadmap - Stay current and influence Teradata AI strategy, roadmap and differentiation. Who You'll Work With Working closely with data scientists, industry strategists and partners the AI Industry Specialist will accelerate the ability to expand and acquire new customers, contribute to industry strategy and More ❯

We are seeking an innovative and technically strong data scientist with a background in optimization, machine learning, and statistical modeling/analysis. This role requires a team member to have strong quantitative modeling skills and the ability to apply optimization/statistical/machine learning methods to complex decision … making problems, with data coming from various data sources. The candidate should have strong communication skills, be able to work closely with stakeholders and translate data-driven findings into actionable insights. The successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail … and ability to work in a fast-paced and ever-changing environment. Key job responsibilities Ability to understand a business problem and the available data and identify what statistical or ML techniques can be applied to answer a business question Given a business problem, estimate solution feasibility and potential More ❯

foundations, governments and other investors based in the U.S. and abroad. Position Overview: The successful candidate will work on some of the most challenging data science problems in Responsible Investing. In this role, you will help design custom solutions to meet clients' sustainability needs and develop an understanding … clients' and prospects' questions, based on knowledge of Acadian's processes and pertinent new research. Explore structured and unstructured datasets with a focus on data preparation, transformation, outlier detection, and feature engineering. Collaborate on the design of ESG constraints for client-driven investment solutions, help build predictive models and … design interactive data applications. We're Looking for Teammates With: Bachelor's degree in Quantitative Finance, Computer Science, Mathematics, Statistics, or a related STEM field, with 2+ years of experience on the buy-side or sell-side. Strong communication skills with the ability to translate complex analytical insights More ❯

about solving complex logistics challenges that directly impact millions of customers? Our Logistics Analytics team is at the forefront of revolutionizing delivery experiences through data-driven solutions and innovative technology. As an Applied Scientist, you will join a team dedicated to optimizing our delivery network, ensuring customers receive their … scheduling solutions, and develop scalable processes. In this role, you will have immediate ownership of business-critical challenges and the opportunity to make strategic, data-driven decisions that shape the future of last-mile delivery. Your work will directly influence customer experience and operational excellence. The ideal candidate will … possess both research science capabilities and program management skills, thriving in an environment that requires independent decision-making and comfort with ambiguity. This role offers the opportunity to make a significant impact on one of the world's most sophisticated logistics networks while working with pioneering technology and data More ❯

small team of developers. Collaborate closely with business stakeholders and cross-functional teams to translate needs into working solutions. Integrate machine learning models and data analytics into core systems to drive intelligent business decisions. Ensure high availability, performance, and maintainability of internal tools and platforms. Champion best practices in … Solid understanding of SQL/NoSQL databases , APIs, and integration techniques. Comfortable with DevOps tooling – GitHub, CI/CD pipelines, cloud infrastructure. Exposure to data science , AI/ML integrations, and data-driven product development. Strong communication and collaboration skills with a proactive, solution-oriented mindset. Experience … Nice to Have Experience in food production , hospitality , or retail environments . Familiarity with other languages or frameworks. Interest in AI solution engineering and data analytics pipelines . Background in business analysis, with experience in gathering and documenting user requirements. What’s in it for you? Highly competitive salary More ❯

small team of developers. Collaborate closely with business stakeholders and cross-functional teams to translate needs into working solutions. Integrate machine learning models and data analytics into core systems to drive intelligent business decisions. Ensure high availability, performance, and maintainability of internal tools and platforms. Champion best practices in … Solid understanding of SQL/NoSQL databases , APIs, and integration techniques. Comfortable with DevOps tooling – GitHub, CI/CD pipelines, cloud infrastructure. Exposure to data science , AI/ML integrations, and data-driven product development. Strong communication and collaboration skills with a proactive, solution-oriented mindset. Experience … Nice to Have Experience in food production , hospitality , or retail environments . Familiarity with other languages or frameworks. Interest in AI solution engineering and data analytics pipelines . Background in business analysis, with experience in gathering and documenting user requirements. What’s in it for you? Highly competitive salary More ❯

algorithms for automated execution solutions. Main Responsibilities Work closely with the Energy Markets Quantitative Analytics team, other analyst teams, traders and the IT and data organizations to contribute to the delivery of ongoing systematic trading and automated execution projects Design, implement, and support systems underpinning the activities of the … practise expertise to the team Experience Required: A least 5 years’ experience developing software Experience building systematic trading systems, automated execution tools or market data processing systems using historical or real time data Proven ability to identify and implement the best technological tool for the job Ownership of … similar, CI/CD including Git repositories and pipelines Ability to write clean, readable, reusable and well tested code Beneficial requirements: Python and its Data Science stack Timeseries database technologies Person specification Background in computer science, finance, maths or other quantitative subject Hands-on approach, flexible and More ❯

algorithms for automated execution solutions. Main Responsibilities Work closely with the Energy Markets Quantitative Analytics team, other analyst teams, traders and the IT and data organizations to contribute to the delivery of ongoing systematic trading and automated execution projects Design, implement, and support systems underpinning the activities of the … practise expertise to the team Experience Required: A least 5 years’ experience developing software Experience building systematic trading systems, automated execution tools or market data processing systems using historical or real time data Proven ability to identify and implement the best technological tool for the job Ownership of … similar, CI/CD including Git repositories and pipelines Ability to write clean, readable, reusable and well tested code Beneficial requirements: Python and its Data Science stack Timeseries database technologies Person specification Background in computer science, finance, maths or other quantitative subject Hands-on approach, flexible and More ❯

model performance, implementing improvements based on analysis. Document and standardize ML processes, pipelines, and model specifications. Collaborate with cross-functional teams spanning research, engineering, data science, product managers and other stakeholders to understand business needs and identify opportunities for ML applications. Work closely with engineering teams to integrate … and frameworks (e.g., TensorFlow or PyTorch). Solid understanding of various machine learning algorithms (e.g., classification, regression, clustering) and their practical applications. Proficient in data manipulation and analysis using tools like SQL and Pandas. Broad ML skillset and are happy to work on all aspects of ML problems. Not … only modeling, but also feature work in data pipelines, some implementation in data pipeline workflows, experimentation setup and analysis. Experience with model evaluation metrics and techniques for ensuring model quality and generalization. Experience with cloud platforms (e.g., GCP, AWS, Azure) and their ML services. Comfortable communicating technical concepts More ❯

model performance, implementing improvements based on analysis. Document and standardize ML processes, pipelines, and model specifications. Collaborate with cross-functional teams spanning research, engineering, data science, product managers and other stakeholders to understand business needs and identify opportunities for ML applications. Work closely with engineering teams to integrate … and frameworks (e.g., TensorFlow or PyTorch). Solid understanding of various machine learning algorithms (e.g., classification, regression, clustering) and their practical applications. Proficient in data manipulation and analysis using tools like SQL and Pandas. Broad ML skillset and are happy to work on all aspects of ML problems. Not … only modeling, but also feature work in data pipelines, some implementation in data pipeline workflows, experimentation setup and analysis. Experience with model evaluation metrics and techniques for ensuring model quality and generalization. Experience with cloud platforms (e.g., GCP, AWS, Azure) and their ML services. Comfortable communicating technical concepts More ❯

Permanent Role Shape the Strategy Behind £30M in Media Spend at a Leading UK Retailer A major UK retail brand is looking for a data-driven Analytics Manager - Marketing Effectiveness to join their expanding analytics function. This is a fantastic opportunity to work across a wide range of marketing … recognisable fashion brands. The Role: You'll focus on driving insight across brand marketing, CRM and performance marketing - analysing effectiveness, improving ROI, and supporting data-driven decisions across a £30m media budget. With CRM accounting for 50% of total sales, email marketing analytics will be a critical area of … focus. Key Responsibilities: 📈 Analyse and optimise marketing performance across channels (brand, CRM, performance/digital) 🧠 Translate campaign and channel data into actionable insights for stakeholders across marketing and ecommerce 📊 Lead ROI and attribution analysis to shape future media spend 📬 Drive deeper understanding of CRM performance - especially email marketing effectiveness More ❯

AI-related roles. Key Responsibilities: Design, develop, and optimize machine learning (ML) and deep learning (DL) models to improve AI-powered applications. Work with data scientists and software engineers to collect, preprocess, and analyze large datasets for AI training and inference. Implement and fine-tune AI algorithms for tasks … in model evaluation, consulting other teams and helping out CEO of the unit . Requirements: Bachelor’s or Master’s degree in Artificial Intelligence, Data Science or equivalent experience of 5years. Strong programming skills in Python and preferably SQL, javascript. Experience with Agentic AI. Familiarity with cloud platforms … AWS, Azure, Google Cloud) and MLOps tools. Understanding of data structures, algorithms, and software engineering principles and also when to prototype. Experience with data preprocessing, feature engineering, and model evaluation techniques. Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Strong communication More ❯

AI-related roles. Key Responsibilities: Design, develop, and optimize machine learning (ML) and deep learning (DL) models to improve AI-powered applications. Work with data scientists and software engineers to collect, preprocess, and analyze large datasets for AI training and inference. Implement and fine-tune AI algorithms for tasks … in model evaluation, consulting other teams and helping out CEO of the unit . Requirements: Bachelor’s or Master’s degree in Artificial Intelligence, Data Science or equivalent experience of 5years. Strong programming skills in Python and preferably SQL, javascript. Experience with Agentic AI. Familiarity with cloud platforms … AWS, Azure, Google Cloud) and MLOps tools. Understanding of data structures, algorithms, and software engineering principles and also when to prototype. Experience with data preprocessing, feature engineering, and model evaluation techniques. Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Strong communication More ❯