526 to 550 of 1,698 Data Science Jobs in London

Senior Data Engineer/Scientist | Up to £130,000 | Remote (UK) 167 Solutions Ltd is hiring on behalf of a leading organisation seeking a Senior Data Engineer to join their engineering team. This role is ideal for an experienced data engineer who thrives in a dynamic environment … and is eager to design, develop, and maintain high-performance data platforms. Role Overview As a Senior Data Engineer , you will play a key role in architecting and optimising data processing pipelines, supporting predictive analytics, and enabling machine learning initiatives. You will collaborate closely with data scientists, analysts, and engineers to develop scalable solutions that enhance data accessibility and efficiency across the organisation. Key Responsibilities Design, build, and maintain data pipelines using SQL, Python, and Spark . Develop and manage data warehouse and lakehouse solutions for analytics, reporting, and machine learning. Implement More ❯

on experience, taking on meaningful responsibility, and making a tangible impact. This role is ideal for an analytical thinker with a passion for driving data optimisation and solving complex problems. Key Responsibilities Data Collection & Validation: Extract data from various systems, verify its accuracy, and apply transformations to … make it usable and reliable for our systems. Pipeline Monitoring: Check that our data ingestion pipelines are running correctly and flag any issues, helping maintain the integrity of our data operations. Quality Assurance: Check for anomalies or validate formats to ensure our data remains trustworthy and actionable. … New Data Source Onboarding Support: Assist in testing and validating incoming data from new partners, ensuring robust integrations from the start. Dashboard Discovery: Learn how dashboards are built and maintained, understanding the logic behind the numbers and their role in supporting business decisions. Process Improvement: Help identify and More ❯

few years, we've scaled the global Customer Experience Centre (a hybrid startup-consultancy) in one of the world's most powerful brands. The Data & Analytics & Reporting team drives value generated by millions of customer interactions across 110 countries. The team helps global markets to imagine, deliver and run … Lead on the build of personalisation and recommendation models that enhance customer experience (CX). Help design a reliable, secure, scalable platform that allows Data Scientists to bring machine learning models to production. Drive the optimisation of performance analyses, landing page testing and funnel optimisation. Act as a bridge … goal. Advise and educate global markets on experimentation and personalisation best practices. Design experiments to quantify performance of models and product. Work with big data, using data science techniques and alongside engineers to define data pipeline needs. We would like you to have Experience with Personalisation More ❯

About Billigence: Billigence is a boutique data consultancy with global outreach & clientele, transforming the way organizations work with data. We leverage proven, cutting-edge technologies to design, tailor, and implement advanced Business Intelligence solutions with high added value across a wide range of applications from process digitization through to … Cloud Data Warehousing, Visualisation, Data Science, and Engineering or Data Governance. Headquartered in Sydney, Australia with offices around the world, we help clients navigate difficult business conditions, remove inefficiencies, and enable scalable adoption of analytics culture. About the role: We are currently seeking highly motivated and … skilled Data Consultants to join our growing Data Engineering and Advanced Analytics team. As a Data Consultant, you will work closely with senior team members to build BI solutions and design, build, and maintain scalable data pipelines that will enable our clients to extract value from More ❯

As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team, you will work with clients on short to medium-term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology … with engagement managers to scope a variety of professional services work with input from the customer. Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications. Consult on architecture … to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. What we look for: Proficient in data engineering, data platforms, and analytics with a strong track record of successful projects and in-depth knowledge of industry best practices. Comfortable writing More ❯

Digital Data Manager/Web analytics Manager Location - London/Hybrid (2days office per week) Salary £60k + £7.5K Car Allowance plus Excellent Bens Skills - Digital Data Manager, Consumer Insights, Web analytics Manger, Google analytics (GA), data visualisation, User Experience, User Journey, data visualisation(Tableau, PowerBI … Are you ready to shape the future of digital ecosystems? Our client is searching for a talented Digital Consumer Data Manager to join their Digital/eCom Team and make an impact by driving data integrity and innovation across an omnichannel consumer journey. If you're passionate about … be comfortable in this arena What Youll Do Step into this exciting position where you'll: Shape the digital ecosystem strategy Act as a data steward, tailoring global data models to local needs while optimizing infrastructure. Be the bridge between business and tech, delivering impactful digital solutions. Offer More ❯

Data Scientist - Customer Lifetime Value Hybrid in London/Remote within the UK We're looking for a Data Scientist Our Customer Lifetime Value (CLtV) model is a highly developed and tailored model, which is central to our business strategy at iwoca. As a Data Scientist in … businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The team Customer Lifetime Value (CLtV) represents the value each customer brings to iwoca. This concept … group of people who manage the CLtV model from the R&D stage all the way to deploying model releases into production. We manage data pipelines that enable the business to use our predictions in their day-to-day decision-making. Our dynamic and autonomous environment emphasises on 'getting More ❯

At Kortical we are on a mission to enable any company to be an AI company by providing world class tooling to enable data scientists to deliver superhuman ML solutions much quicker than than current offerings allow, all fully transparent and editable in code. Remote working: Flexible remote (up … w) At Kortical we are on a mission to enable any company to be an AI company by providing world class tooling to enable data scientists to deliver superhuman ML solutions much quicker than than current offerings allow, all fully transparent and editable in code. The role has two … elements to it: As not every company or department have in-house data scientists, for some clients we build awesome ML solutions for our clients like Deloitte Tax, NHS and Santander using the Kortical platform. By working with our clients building these awesome ML solutions, we find areas that More ❯

clients during our 30 years of history. Artificial Intelligence is our reality. General Description: We are looking for scientists who are passionate about data and eager to tackle big challenges using Data Science and Machine Learning. The main focus of this role is to solve complex business … problems in Fortune 500 companies. The candidate will work with structured and unstructured data, employing scientific methods and state-of-the-art techniques to help our clients achieve their business objectives. Responsibilities: Understand complex business problems and translate them into structured data problems. Explore and analyze complex data sets (structured and unstructured). Prototype models of varying complexity (business analysis, statistical models, machine learning) using modern data science tools (Notebooks, Cloud platforms). Design and implement machine learning models, develop metrics, and apply feature engineering techniques tailored to customer problems. Support pre-sales efforts and More ❯

a high-impact role requiring deep technical knowledge, strong product leadership, and a proven track record of delivering AI/ML solutions in complex, data-rich environments. You'll work closely with other product teams and cross-functional partners, to conceptualize and deliver AI capabilities that transform how product … products. Experience with natural language processing (NLP) techniques, large language models, or other AI methods for text-based and structured data. Strong understanding of data pipelines, data modeling, and MLOps. Experience in working on complex collaborative products that are architected as modular and extensible platforms or at least … company-wide impact. Experience in mentoring and coaching junior colleagues, as well as leading across the company through indirect influence. Educational background in computer science, data science, or related practice. What's in it for you? Be part of building the world's first and best Product More ❯

and beyond to make them feel seen and heard in everything we do. About the Role We're looking for a Lead Risk Pricing Data Scientist who will lead the development of our credit risk and pricing systems. This is a unique opportunity to shape a new system from … the ground up, unencumbered by legacy systems or constraints. The Lead Risk Pricing Data Scientist will be a hands-on builder and help us develop a team over time. They will be part of a small team of engineers and product people, working independently from the wider business. This … country migrants. Developing and owning robust risk monitoring and reporting processes to ensure we stay within appetite as we scale. Being a champion of data and solidifying data-driven processes within the team. Building a team of analysts and data scientists as we scale, and setting a More ❯

customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps … and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. In this Data Scientist role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale cutting-edge solutions for never … endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS 2+ years of data scientist experience and 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS More ❯

deliver applications working with other staff and partners. Collaborate with cross-functional teams to design, develop, and implement scalable and reliable cloud applications. Utilize data science and analytics to enhance application functionality and performance. Work with the data team to create and deploy machine learning models and … with colleagues within and beyond Technology to ensure that a consistent, high-quality service is delivered. Requirements: Ideally a bachelor's degree in Computer Science, Analytics, Engineering, or a related field. Minimum of 3+ years of experience in coding with Python and React.js. Knowledge of databases (SQL & NoSQL) and … with enterprise architecture design and delivery (Azure, GitHub, etc). Proven experience in building cloud applications using Microsoft Azure/cloud. Strong interest in data science and analytics. Excellent problem-solving skills and attention to detail. Knowledge of effective business analysis - ability to gather, document, and analyze business More ❯

deliver applications working with other staff and partners. Collaborate with cross-functional teams to design, develop, and implement scalable and reliable cloud applications. Utilize data science and analytics to enhance application functionality and performance. Work with the data team to create and deploy machine learning models and … with colleagues within and beyond Technology to ensure that a consistent, high-quality service is delivered. Requirements: Ideally a bachelor's degree in Computer Science, Analytics, Engineering, or a related field. Minimum of 3+ years of experience in coding with Python and React.js. Knowledge of databases (SQL & NoSQL) and … with enterprise architecture design and delivery (Azure, GitHub, etc). Proven experience in building cloud applications using Microsoft Azure/cloud. Strong interest in data science and analytics. Excellent problem-solving skills and attention to detail. Knowledge of effective business analysis - ability to gather, document, and analyze business More ❯

will power the training of the world's most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment. The AI Data team at Microsoft AI is responsible for all aspects of data preparation to support our model pre-training operations, including collecting data from the source, extracting and transforming the most useful data, and understanding the impact of changes to data by training and evaluating new models. We are an interdisciplinary team of engineers and scientists, learning from each other, and collaborating to create the best models and products. We … the next generation of systems that will transform the field. In particular, we are looking for candidates who: Are passionate about the role of data in large-scale AI model training Will thrive in a highly collaborative, fast-paced environment Have a high degree of craftsmanship and pay close More ❯

strong triaging skills, to identify opportunities and improvement areas for enhancing the Driver Partner (DP) experience. 2. Conduct log analysis to gather and interpret data from various sources, including station feedback forms and social media, for a comprehensive understanding of DP pain points. 3. Demonstrate proficiency in app bug … risks affecting the DP experience. 4. Collaborate proactively with WW partner teams to stay ahead of DP experience trends, new defects, and risks. Utilize data-driven insights to initiate end-to-end deep dives that strategically address and resolve issues. 5. Create and utilize straightforward reports from multiple listening … channels and data sources, using SQL for weekly and monthly business reviews at the team level, and build Quicksight to present it to stakeholders. 6. Take ownership of preparing recurring data-driven business reviews at the workflow level, ensuring coordination with teams for data collection, preparing comprehensive More ❯

fraud risk intelligence who are seeking a Senior Machine Learning Engineer. You will work along the end-to-end machine learning lifecycle, focusing on data engineering and maintaining real-time data pipelines. Your responsibilities will include developing and maintaining ETL processes, designing and implementing machine learning algorithms, and … deploying and monitoring models in production environments The Ideal Candidate Education & Experience: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 7+ years of professional experience in areas such as fraud prevention or credit scoring. Machine Learning Expertise: Strong understanding of … machine learning algorithms and their practical applications. Experience with frameworks like TensorFlow, PyTorch, and scikit-learn. Data Engineering: Proficiency in developing and maintaining real-time data pipelines. Experience with ETL processes, Python, and SQL. Familiarity with big data technologies like Apache Hadoop and Apache Spark. MLOps & Deployment More ❯

fraud risk intelligence who are seeking a Senior Machine Learning Engineer. You will work along the end-to-end machine learning lifecycle, focusing on data engineering and maintaining real-time data pipelines. Your responsibilities will include developing and maintaining ETL processes, designing and implementing machine learning algorithms, and … deploying and monitoring models in production environments The Ideal Candidate Education & Experience: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 7+ years of professional experience in areas such as fraud prevention or credit scoring. Machine Learning Expertise: Strong understanding of … machine learning algorithms and their practical applications. Experience with frameworks like TensorFlow, PyTorch, and scikit-learn. Data Engineering: Proficiency in developing and maintaining real-time data pipelines. Experience with ETL processes, Python, and SQL. Familiarity with big data technologies like Apache Hadoop and Apache Spark. MLOps & Deployment More ❯

Data Modeler A SME Insurer are looking for a Data Modeler to build out data models to facilitate reporting, generating insights and data science applications. The role would be working close with Bas and Data Engineers and translate business requirements into effective data models and mapping documents. Essential skills for the Data Modeler: Strong experience as a Data Modeler/Architect London Market Insurance industry experience Using Data Modelling such as Erwin Experience with modelling methodologies including Kimball etc Usage of Data Lake formats such as Parquet and More ❯

Data Modeler A SME Insurer are looking for a Data Modeler to build out data models to facilitate reporting, generating insights and data science applications. The role would be working close with Bas and Data Engineers and translate business requirements into effective data models and mapping documents. Essential skills for the Data Modeler: Strong experience as a Data Modeler/Architect London Market Insurance industry experience Using Data Modelling such as Erwin Experience with modelling methodologies including Kimball etc Usage of Data Lake formats such as Parquet and More ❯

Specialist Location: Canary Wharf, London (3 days onsite) Contract Length: 10 months Daily Rate: £800 - £850 (inside IR35 via umbrella) Are you a seasoned Data Scientist with a passion for Generative AI? Our client is seeking a Gen AI Specialist to join their dynamic Technology team in Canary Wharf. … This role offers an exciting opportunity to work on innovative solutions that address complex financial data challenges, particularly in credit risk management. Key Responsibilities: Lead the development and coordination of analytical plans, ensuring alignment with various teams. Manage deliverables in an agile environment while maintaining clear and effective communication … with stakeholders. Present analytical findings, updates, and challenges to diverse audiences including business units, technology management, and risk review teams. Execute data modelling and cleaning processes utilising both internal and external data sources. Build predictive and prescriptive models through data manipulation and cleaning. Design, manage, and deploy More ❯

Experts Location: Zurich, on-site Timeline: February-May 2025 (subject to potential extension English Proficiency in SQL and Python and experience with SQL-based data manipulation and analysis. Strong understanding of data quality principles and data cleansing techniques. Experience with data profiling and data quality … assessment tools. In-depth understanding of core systems and data models (banking or financial services experience is a strong advantage). Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field. Strong analytical and problem-solving skills. Attention to Detail: The role … requires a high level of attention to detail to ensure data accuracy and integrity. Adaptability: Ability to adapt to changing project requirements and work in a fast-paced environment. Team Player: Strong interpersonal skills and the ability to work effectively in a team-oriented environment. Communication Skills: Excellent verbal More ❯

Experts Location: Zurich, on-site Timeline: February-May 2025 (subject to potential extension English Proficiency in SQL and Python and experience with SQL-based data manipulation and analysis. Strong understanding of data quality principles and data cleansing techniques. Experience with data profiling and data quality … assessment tools. In-depth understanding of core systems and data models (banking or financial services experience is a strong advantage). Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field. Strong analytical and problem-solving skills. Attention to Detail: The role … requires a high level of attention to detail to ensure data accuracy and integrity. Adaptability: Ability to adapt to changing project requirements and work in a fast-paced environment. Team Player: Strong interpersonal skills and the ability to work effectively in a team-oriented environment. Communication Skills: Excellent verbal More ❯

when you meerkat. We'd love you to be part of our journey. As a Machine Learning Engineer, you will be working closely with data scientists and a wide range of business and tech stakeholders with varying levels of understanding towards Machine Learning. You will identify the tech requirements … role. Some of the great things you'll be doing: Develop, maintain, monitor (health & performance), and optimise integrated Machine Learning products. Work closely with Data Engineering, Platform, and Architecture teams to improve and develop new products, integrations, tools, and technologies. Work with data scientists to productionise various ML … management and interrogation of large scale 'structured' and 'unstructured' datasets (million+ rows with thousand+ features, policy documents, etc). Enable the collection of new data and the refinement of existing data sources. Help manage day-to-day operations of the Data Science & Analytics platform (Databricks), and More ❯

Lead Data Engineer - Hybrid working 3 days per week onsite As a Lead Data Engineer, you’ll be instrumental in driving innovation through advanced analytics, AI, cloud technologies, and data science. You will help build a new Data & Analytics function and unified data platform. Key … Responsibilities: Develop and execute a data engineering strategy that aligns with organisational goals and technological advancements. Design and implement a scalable, reliable, and cost-efficient modern cloud data platform. Build and maintain robust ETL/ELT pipelines for processing and managing large volumes of structured and unstructured data. … Create and manage Power BI dashboards, reports, and data models to provide strategic insights. Integrate cutting-edge technologies like AI, real-time analytics, and automation into our data infrastructure. Lead operational AI initiatives, including the development of machine learning models for predictive analytics. Technical Skills: Proficiency in cloud More ❯