176 to 200 of 377 Data Science Jobs in London

Delivery Consultant - Data & Analytics, AWS Professional Services Job ID: AWS EMEA SARL (UK Branch) Do you like helping customers implement innovative solutions and solve technical and business challenges using the latest cloud computing and AI technologies? Do you have experience implementing systems that handle sensitive data and the consultative and leadership skills to launch a project on a … on understanding what's best for the customer and also be valued within as a technical expert? Amazon Web Services is looking for a skilled and motivated Professional Services Data Scientist to help accelerate our growing Data and AI business in the UK and work with our public sector customers. We need passionate, experienced consultants to help our … Responsibilities include: - Expertise - Collaborate with field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Bedrock, Sagemaker, and other data services. Experience in architecture, software design and operations in hybrid environments as well as complex projects at scale. - Solutions - Demonstrated consulting skills, ideally through previous roles and delivery of More ❯

a remote position with ad hoc office requirements (if required). The successful candidate will support our business intelligence function through analysis of complex business problems and issues, using data from internal and external sources to provide insight to decision-makers. Experience with cloud platforms such as Azure and Databricks would be advantageous, particularly as we continue to evolve … our data infrastructure, but is not essential for success in this role. Key Responsibilities: Reporting Produce reports and dashboards on Microsoft Dynamics using Power BI for all UK Tax business units, reviewing and validating data to ensure accuracy. Create specifications for reports and analysis based on business needs or available data elements, providing consultation to users and … leading cross-functional teams to address business issues. Ensure consistency in reporting and empower employees to run and update their own reports. Familiarity with Azure Data Lake , Azure Synapse , or Databricks to support scalable and integrated reporting solutions. Business Intelligence Use Microsoft Dynamics and Power BI to conduct business intelligence reviews, uncover actionable insights, and support better data More ❯

Ind & Func AI Decision Science Manager Senior Level Full time Job Role : Data & Applied Intelligence Strategy Manager Location : London Accenture is a leading professional services company that provides a wide range of services including strategy and consulting, data and analytics, technology and operation services worldwide. With our thought leadership and culture of innovation, we apply industry expertise … we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team: Data & AI, the people who love using data to tell a story. We're also the world's largest team of data scientists, data engineers, and experts … learning and AI. Our focus is on big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything-spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want More ❯

well as maximizing the monetization of core strategies, having a measurable impact on our business. As a member of our team, you will leverage your programming, analytical reasoning, and data analysis skills to construct quantitative models that drive our success across a variety of business decisions. You will work on alpha generating strategies, tackle complex portfolio construction challenges, and … capture from internal idea generation. Partner with the Technology team to design and implement scalable infrastructure solutions. Build interactive tools to display analytical findings Integrate SFM and third-party data sets related to historical reference data, factor data, end of day and tick-level data, corporate actions (IPOs, Secondary, M&A, Spin-offs, etc.). Apply … extensive development experience within strategic libraries/frameworks supporting quantitative research. Experience with signal research, back testing, and portfolio optimization. Strong analytical and problem-solving skills. Familiarity with common data science and machine learning tools and libraries. Must have a high degree of attention to detail, be able to multitask, complete projects in a timely manner, and work More ❯

providing savings that really work, they champion those who dare to do things differently. The Opportunity As an MLOps Engineer, youll be at the forefront of leading Machine Learning, Data, and cloud services across the business. Playing a key part in kick-starting their journey into AI and ML. Youll be collaborating closely with cross-functional teams, from setting … up and managing data labs to enabling new tooling to deploying data science models into production, and youll also play a pivotal role in helping our client scale and modernise. What youll bring MLOps experience essential Proficiency in SQL and Python Cloud engineering experience with Azure (if you have exp with AWS this would be beneficial) Experience … working with cloud-based data platforms such as AWS Redshift or Azure Synapse Understanding of automated Terraform deployment methods A background in leading complex AI/ML/Data initiatives Strong analytical and problem-solving skills with a detail-oriented approach to data interpretation Expertise in data visualisation tools, including Excel, Tableau, and Power BI Exceptional More ❯

Design, develop, and maintain PowerBI reports and dashboards to present key business metrics and trends. Create custom visuals and complex reports using PowerBI's built-in functionalities and DAX (Data Analysis Expressions). Translate business requirements into technical specifications for data collection, analysis, and reporting. Perform data validation to ensure accuracy and consistency in reporting. Collaborate with … and interpreting PowerBI dashboards. Monitor and optimise the performance of PowerBI solutions. Troubleshoot and resolve issues related to PowerBI reports and dashboards. Develop and maintain documentation for PowerBI reports, data sources, models, and processes. Ensure BI solutions align with industry best practices and internal standards. Experience: Bachelor's degree in Computer Science, Information Systems, Data Science … PowerBI Developer. Strong expertise in Microsoft PowerBI, including PowerBI Service, PowerBI Desktop, and PowerBI Report Server. Proficiency in DAX for creating custom calculations and measures. Experience with SQL for data discovery and manipulation. Ability to analyse complex datasets and provide actionable insights. Strong problem-solving skills and attention to detail. Effective communication skills for both technical and non-technical More ❯

new tools and cloud native technologies (e.g. AWS, GCP, Snowflake, Databricks) under the guidance of senior team members Key Skills and Experience required - A strong academic background in Computer Science, Engineering, Data Science, or a related technical discipline Proficiency in Java or Python Strong written and verbal communication skills Proactive learner with the ability to self-teach … new tools and technologies; an ability to educate others Familiarity with the Linux command line and shell scripting Understanding of basic data concepts - file formats (e.g. CSV, Parquet), data pipelines, and storage layers Exposure to containers and Podman or Docker Comfortable using Git; an awareness of CI/CD practices and tools such as GitHub Actions or Azure … containerised development workflows using e.g., VSCode Basic understanding of cloud platforms like AWS or GCP Experience contributing to open-source or internal code templates, demos, or accelerators Familiarity with data catalog services (e.g. Hive, Polaris, Glue) This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. More ❯

About Data at Holland & Barrett At Holland & Barrett (H&B), we want to empower everyone to live healthier, happier lives. With over 150 years of experience, we're the largest health & wellness retailer in Europe and a globally trusted brand. Our ambition is to become the world's most trusted wellness partner, chosen by over 100 million people worldwide. … into five verticals: four embedded analytics areas aligned to key business functions, and a central Business Intelligence team focused on cross-functional reporting and performance enablement. Together with our Data Engineering and Data Science colleagues, we make data a strategic lever to achieve H&B's goals. As a Senior Retail Analyst in the Omnichannel Analytics … Collect Own projects from brief to outcome—including discovery, prioritisation, stakeholder alignment, and delivery tracking. Collaborate with BI Developers, other Embedded Analysts, and cross-functional squads to land scalable data solutions. Mentor mid-level analysts on analytics delivery, tooling, and stakeholder engagement. Work with a modern data stack, including Redshift, BigQuery, Matillion, and Retool Location This role is More ❯

At STRATOS Technologies, we are transforming how companies make data-driven decisions with our innovative Strategy Operating System. Our software integrates complex datasets into a unified solution, enabling businesses to strengthen their long-term strategies through clear and actionable insights. Founded by former senior executives, funded extensively by high-profile investors (e.g. Accel), and trusted by multiple Fortune … customers, we are now expanding our team to accelerate our growth even further. We are looking for an enthusiastic Business Data Analyst to join our growing team. You will play a crucial role in analysing complex datasets, solving business challenges, and ensuring smooth project execution. This role is ideal for someone who is excited to dive into the tech … industry from a commercial angle and wants to be a meaningful part of STRATOS' success. Tasks Your Responsibilities Own the data flow : Understand and navigate complex customer data structures, ensuring accuracy, completeness, and integrity for smooth platform integration working with our data team. Turn data into insights : Analyse large datasets to uncover business insights and opportunities. More ❯

sharing knowledge to strengthen geodesy-related capabilities within the organisation. This role is ideal for a candidate with exceptional attention to accuracy and precision, a deep understanding of geospatial data and its applications and a commitment to technical excellence. Key Responsibilities Manage and continuously improve the bp CRS Catalogue and associated system of record/platform, including executing and … object change requests, maintaining auditable records and serving the catalogue to required applications and systems. Efficiently derive and implement new geodetic objects including custom CRS and transformations to facilitate data loading and accurate data acquisition, including collaborating with vendors, partners and government agencies where required. Serve as a technical expert on geodesy and earth geometry across the organisation … by responding to support requests and proactively finding opportunities for oversight. Ensure geodetic and geospatial integrity in data and operations by investigating and determining accurate geodetic parameters for datasets with unknown or uncertain attributes. Hold decision-making authority for go/no-go determinations regarding geodetic integrity within the Geoscience computing portfolio, particularly when changes or upgrades are proposed. More ❯

Ensure that the MaPS SCM systems procedures and processes are fully documented. Support the development of the MaPS SCM systems including identifying requirements for external suppliers. Regular patch testing Data Management: Review system for data specific non-compliance and monitor data quality. Intelligent Customer Function: Engage with stakeholders to identify opportunities for improvement. Main duties of the … complex issues with key stakeholders at an operational and strategic level Excellent written and verbal communication skills One or more of the following:- Information Technology (IT) degree in Computer Science, Information Technology, Cybersecurity, Data Science, Software Engineering- Oracle Fusion SCM Foundation Associate certification (or working towards) Desirable criteria: Project Management: PRINCE2 or Agile foundation level certification Digital … Data & Technology: ITIL Service Management foundation level certification, Lean Six Sigma foundation level certification One or more of the following:SCM, HCM, EPM, ERP or OCI Foundation associate certifications AI for OCI and/or Cloud applications foundation level certifications Selection Process Detail This vacancy is using Success Profiles and will assess your Behaviours, Strengths, Experience and Technical skills. More ❯

Overview GlaxoSmithKline (GSK) is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of … groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science …/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic. The Responsible AI team is More ❯

Overview GlaxoSmithKline (GSK) is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of … groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science …/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic. The Responsible AI team is More ❯

and meaningful scope to shape the analytics strategy in the UK. THE ROLE This is a key leadership role in the UK analytics function, managing three direct reports across data science, BI and analysis. While you won't be deep in the code every day, you'll be deeply embedded in both the business and the data - prioritising workstreams, guiding delivery, and supporting the team as they scale. You'll partner closely with marketing, CRM and performance teams, translating business needs into clear data projects and helping shape how marketing impact is measured globally. You'll also collaborate with the US analytics team and newly appointed Head of Analytics to align strategy across regions; with … a big focus on MMM, recommender systems, and customer modelling. MMM will be the priority for the next 12 months. DAY TO DAY Lead UK analytics team (BI Developer, Data Analyst, Data Scientist) Oversee team priorities, coaching, and delivery standards Translate business questions into technical project scopes Champion analytics best practices across teams Support marketing teams with data More ❯

Lead Data Analysts – Product & Customer Strategy London/hybrid (2 days in the office) Negotiable An opportunity to drive product and customer strategy in a growing analytics team. What you’ll be doing. Understand customer behaviour, product, and financial performance to help maximise product performance, support product plans and drive key strategic initiatives Contribute to the design, test and … build of complex information across multiple decision engines to identify causal links between customer behaviour and business opportunities and performance Demonstrate an innovative approach to data-based problem solving, and have input into the development of a strategy that supports business strategy Collaborate in initiatives to support the accuracy, availability, granularity, and coverage of data, and those that … implement new data management and manipulation tools. Communicate the findings of analysis in meetings with senior stakeholders and in visually compelling reports or presentations. Develop the targeting approach to accurately identify and understand customer needs by designing tests, delivery campaigns and reviewing performance to ensure campaigns are executed effectively Share complex ideas, issues, and recommendations to gain agreement from More ❯

NSTR is exclusively recruiting a Data VP for a fast growth PE fund in London. Superb opportunity to be part of something very special. Our client is looking for a Data expert that combines a commercial edge with exceptional technical skills and the ability to drive and shape strategy and growth in their portfolio companies. The role is … a combination between highly technical, strategic, and a highly commercial remit, requiring an experienced, operational data leader to act as a business partner for our client’s Portfolio companies. This data expert will be a joint leader on the strategy to promote and drive changes on the data of the portfolio companies, operational upgrades, and growth initiatives … on and can ‘roll up their sleeves’. They will implement proactive, high energy, growth and continual improvement agendas across the portfolio companies. Key highlights: - Diagnosis and transformation of data operations across the SaaS portfolio - Drive value creation through data science, analytics, and BI - Partner with C-suite and Exec teams to build and execute scalable data More ❯

Palantir Foundry Data Engineer - DV Cleared NEW CONTRACT OPPORTUNITY FOR A PALANTIR FOUNDRY DATA ENGINEER TO WORK ON A NATIONAL SECURITY PROJECT IN LONDON WITH DV CLEARANCE - Contract role in London for a Palantir Foundry Data Engineer - Must hold DV Security Clearance - Central London based - Daily rate up to £800 - Hybrid position - To apply, email: or call … Who we are... We are seeking an experienced Palantir Foundry Data Engineer with current DV clearance to join a high-profile programme. This is a contract position offering hybrid working and a daily rate of up to £800 . In this role, you will be responsible for designing, developing, and optimising data pipelines and integrations within Palantir Foundry … ensuring data is efficiently processed, transformed, and made available for analysis and operational use. You will collaborate closely with analysts, data scientists, and business stakeholders to deliver robust, secure, and scalable data solutions. What we're looking for... Key Responsibilities: Develop and maintain data pipelines and workflows in Palantir Foundry Integrate diverse data sources, ensuring More ❯

regulatory frameworks (GDPR, PSD2, EU AI Act, Solvency II, healthcare regulations) Convert PoCs into repeatable offerings for cross-client adoption Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field Certifications in Enterprise Architecture (e.g., TOGAF), AI/ML, or Cloud platforms are a plus Essential skills Extensive experience in Enterprise … Architecture, Data & AI, or Digital Transformation Deep industry knowledge in Banking, Insurance, Payments, Retail, or Life Sciences Strong grasp of AI-enabled use cases such as fraud detection, hyper-personalisation, or patient analytics Familiarity with financial and healthcare regulatory landscapes (GDPR, PSD2, EU AI Act, HIPAA) Excellent communication, client engagement, and workshop facilitation skills Proven ability to work in More ❯

Overview GlaxoSmithKline (GSK) is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of … groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science …/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic. The Responsible AI team is More ❯

Head of Data Platform Hybrid - South London Up to £110,000 + Bonus + Benefits Are you a data leader ready to shape the future of a modern cloud data platform? We're seeking a Head of Data Platform to spearhead a major migration project and lead a talented data engineering team at a fast … growing, tech-driven business. Why this role? Lead the migration of an existing Azure data warehouse to Google BigQuery , creating a scalable, modern platform to power analytics, BI, and data science. Join a collaborative, people-first culture that's been recognised as a Great Place to Work for 5+ years running. Take ownership of strategy, architecture, and delivery … to work from home. What you'll be doing: Own the end-to-end migration to BigQuery, working with both internal teams and implementation partners. Define and evolve the data platform strategy, governance, and roadmap. Manage and mentor a team of data engineers, fostering excellence and collaboration. Drive adoption of modern data engineering practices: CI/CD More ❯

or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods • PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience in the field • Extensive experience … Scikit-Learn, Pandas) • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals • Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. • Scientific thinking with the ability to … the financial services industries and continuous integration models and unit test development • Knowledge in search/ranking, Reinforcement Learning or Meta Learning • Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code • Published research in areas of Machine More ❯

playout origination Master Control rooms Advertising signaling and insertion Distribution and monitoring Broadcast Headend Post production Media Archives and Asset Management Metadata Management Content QC, Localization and Preparation workflows Data Lakes & Data Science Content Monetization strategies Customer 360 and CDP Personalization A day in the life Diverse Experiences AWS values diverse experiences. Even if you do not … how we sell, how we deliver, or how we partner. BASIC QUALIFICATIONS - 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - Bachelor's degree in computer science, engineering, mathematics or equivalent - Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward More ❯

eCommerce platform specialised in consumer goods and delivery. This business offers an extensive range of products including household essentials, medication, office supplies, groceries, and even fresh prepared food! The Data Scientist- Category Management, will develop decision support systems, analyse large datasets, and share insights to optimise category performance. You will collaborating with In-Stock Merchandising team and will manage … another Data Analyst to drive NPD, category decision-making, and analysis in product buying and inventory management. Key responsibilities of this Data Scientist - Category Management : Partner with the Data Team to measure and report on availability levels and their impact on revenue and order volumes. Collaborate with the Category and In-Stock Management teams to enhance the … expirations across subcategories. Conduct in-depth analyses and post-implementation reviews to address challenges, uncover opportunities, and propose future experiments related to availability and expirations reporting. Key requirements of Data Scientist - Category Management : Ideally having 3-6 years of experience in analytics or data science, preferably in grocery, operations, marketing or consumer products. Open to experience in More ❯

with this knowledge, you will bring your significant expertise to develop our consulting approaches and our talent. About the Company Part of The Brandtech Group, fifty-five is a data company helping brands collect, analyse and activate their data across paid, earned and owned channels to increase their marketing ROI and improve customer acquisition and retention. Headquartered in … the range of skills required to support our missions, with particular focus on upskilling the team with the required consulting skills to support large-scale consulting programmes. Developing the data consulting client portfolio: Identifying new revenue and service opportunities in your client base, including but not limited to Data Strategy, Data Science, Datalake, Analytics, Media advisory … projects Pre-sales/Consultative selling: Business development for prospects, and identifying and converting upsell opportunities for new and existing customers Sectorial expertise: Global understanding of customer/client data challenges and proven ability to propose solutions adapted to an industry (consumer goods, retail, travel, etc.) Experience in developing and scaling internal consulting capabilities, defining best practises and applying More ❯

Job Summary: We are seeking an experienced Informatica IDMC Developer to join our dynamic team. This is a key role within their data team that will see you driving forward exciting new data initiatives. You will help the organisation to implement what is needed to deliver strategic data platforms. This will include, but not limited to the … end-to-end support for acquisition, organisation, integration, transformation, and secure storage of mission-critical data. Key Responsibilities: Informatica IDMC Management: Design, develop, and maintain data integration solutions using Informatica Intelligent Data Management Cloud (IDMC). Optimize IDMC pipelines for performance and reliability. Ensure data integrity and quality across various data sources and targets. Unix Systems … Develop and maintain scripts and processes on Unix/Linux systems to support data integration workflows. AWS Cloud Services would be added advantage: Implement and manage data solutions on AWS, including S3, EC2 services. Utilize AWS RDS databases for storing and managing structured data. Batch Orchestration: Design, implement, and manage batch job workflows using tools like AutoSys and More ❯