476 to 500 of 687 Analytics Jobs in Central London

regulatory frameworks including GDPR and CCPA Technology & Enablement Evaluate and deploy modern data platforms and tooling (e.g. ETL services, data catalogues) Support the adoption of cloud-native technologies across analytics and storage layers Culture & Capability - Champion a data-first mindset through training and awareness initiatives Support role-specific enablement for data owners and custodians Contribute to internal knowledge sharing and … relevant data architecture role Previous experience in financial services, or investment banking, FinTech Desirable - Certifications such as Azure/Fabric Data Engineer Associate or SnowPro Advanced Architect Experience designing analytics platforms in financial services or investment domains Attributes & Competencies: Strong communication and stakeholder engagement Analytical mindset with attention to detail Collaborative leadership and influence across teams Passion for continuous improvement More ❯

the right way. There is a large amount of change in the organization, and it will be your responsibility to manage the change hitting the data platform, and the analytics and data science platform. Leading a team of data professionals who are supporting the data community, data governance and the framework around it. Priority projects will include continuing the transformation … building, leading and developing cross-functional teams to drive value from data in large complex organisations. Strong understanding of data management principles and practices, data engineering and modelling, and analytics and insight delivery and their ability to enable organisational value. Significant experience in creating and embedding new systems and processes which support improved fact-based decision making, digital marketing and More ❯

Glencore Industrial Placement Quantitative Research (Analytics) Glencore is one of the worlds largest global diversified natural resource companies and a major producer and marketer of more than 60 commodities that advance everyday life. Through a network of assets, customers and suppliers that spans the globe, we produce, process, recycle, source, market and distribute the commodities that support decarbonisation while meeting More ❯

Success Director required with deep expertise in Marketing Mix Modeling (MMM) and econometrics to help lead our client success function, oversee strategic accounts, and drive measurable impact from our analytics solutions. This senior leadership role combines executive relationship management, commercial growth accountability, and thought leadership in econometric modeling. The Client Success Director should be able to work in a fast … excellent problem-solving skills, attention to detail, and a proactive approach to identifying and resolving issues. The successful candidate should have a deep understanding of the Marketing Effectiveness and analytics industry, with specific knowledge of MMM methodologies, data requirements, and interpretation of model outputs. They should be up to date with the latest trends and developments in marketing measurement. They … strategic business recommendations. The Senior Client Success Director should be a team player and possess effective communication and interpersonal skills to collaborate effectively with cross-functional teams, including dedicated analytics and data science teams. Key Activities & Accountabilities Drive optimal client project processes for work delivery and client satisfaction, specifically for projects involving advanced analytics and MMM. Deliver high-quality client More ❯

Data Scientist (Sports Analytics | Football Focus) Were excited to be partnering with a new client a rapidly growing sports data consultancy that is extending its Data Science team. This is a fantastic opportunity to join a business at the cutting edge of football analytics, where raw data is transformed into actionable insights that drive smarter, evidence-based decisions for clubs … and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics or personal projects related to football data. Knowledge of advanced football metrics (possession value models highly desirable). A deep passion for football combined with analytical rigour and strong communication More ❯

Data Scientist (Sports Analytics | Football Focus) We’re excited to be partnering with a new client – a rapidly growing sports data consultancy that is extending its Data Science team. This is a fantastic opportunity to join a business at the cutting edge of football analytics, where raw data is transformed into actionable insights that drive smarter, evidence-based decisions for More ❯

Head of Data, Analytics & Insight At Tembo, we’re on a mission to make home happen — helping people buy their first home, remortgage, or move up the ladder, and helping thousands more save smarter towards homeownership. We’re tackling one of the biggest challenges of our generation: helping people get on and move up the property ladder. Through innovative mortgage … future. That sense of real-world impact is what drives everything we do, and why people love working here. Now, we’re looking for our first Head of Data, Analytics & Insight — someone ready to turn a blank canvas into a high-performing data function that powers every part of our business. We’re a mission centric organization that holds our … analyse and model the makeup, performance, and risk of our savings book Deliver insight that informs strategy across growth, product, operations, and leadership Lay the foundation for a scalable analytics function — and grow a small team over time About you Proven experience building a data platform from scratch in a fast-growing tech or fintech environment Strong technical background in More ❯

clean, scalable data systems and a culture of collaboration and curiosity. You’ll play a key role in building and maintaining the data pipelines, models, and architectures that power analytics and product innovation. The ideal candidate is someone who thrives on solving data challenges and enjoys turning complex datasets into well-structured, reliable systems. What you’ll be doing Designing … and maintaining end-to-end data pipelines Building and optimising data models and warehouse solutions Performing ETL processes to ensure data quality and consistency Collaborating with teams across engineering, analytics, and product Supporting business intelligence and analytics efforts What we’re looking for Strong background in Data Engineering and Data Modelling Solid experience with ETL processes and Data Warehousing Proficiency More ❯

Analytics Consultant – Marketing Mix Modelling | London | £40,000-£65,000 Join a global leader in media investment analytics and shape the future of data-driven marketing. Peaple Talent is proud to be partnering with a world-renowned agency that empowers the biggest brands with evidence-based insights to supercharge their media investment. Through the smart application of data, analytics, and … independent thinking, they help businesses make better decisions and drive meaningful results. 🚀 As part of exciting expansion plans, we’re looking for multiple Analytics Consultants with expertise in Econometrics and Marketing Mix Modelling (MMM) to join their high-performing team. 💼 What You’ll Be Doing: As a Senior Analytics Consultant, you'll be at the forefront of delivering advanced MMM … role in helping clients get the most from their marketing spend. Transform complex data and model outputs into actionable insights that create real value Deliver high-quality MMM and analytics projects across major client accounts Build strong, consultative relationships with internal teams and external clients What We’re Looking For: You’re a commercially savvy analyst with a passion for More ❯

About Us TheMathCompany or MathCo® is a global Enterprise AI and Analytics company trusted for data-driven decision-making by leading Fortune 500 and Global 2000 enterprises. Founded in 2016, MathCo builds custom AI and advanced analytics solutions focused on enterprise problem-solving through its innovative hybrid model. NucliOS, MathCo’s proprietary platform with pre-built workflows and reusable plug … to ‘Leave a Mark’. ROLE DESCRIPTION We are looking for a passionate individual to help our client in the CPG industry to solve complex challenges--enabling their sustained analytics transformation. As a member of our Client Services team, you will lead a team of Associates and Senior Associates who design, execute and implement cutting edge analytical solutions. You are … our customers and help them translate their goals into action on existing projects while also developing a pipeline of additional projects. Job Responsibilities Design strategy and roadmap for building analytics capabilities of large organizations Build relationships with customers to become a trusted partner who provides thought leadership and strategic guidance Engage with different client stakeholders and lead program onboarding, insights More ❯

We are working with a growing consumer finance fintech platform, who are looking to build out their Data and Analytics department. The team, who have recently received backing from a global Investment firm are now building out a Data and Analytics team in London - with a focus on supporting their Unsecured NPL Portfolio Investment team. This role is ideal for … in statistics and data science, looking to apply their skills in financial services. While specific NPL experience is not required, a passion for large-scale data analysis and modern analytics frameworks is essential. You will work in a neo-bank/fintech-style environment, using cutting-edge technology to analyze terabytes of data and support high-impact investment decisions. Responsibilities … collaborative development tools (e.g., Git, JIRA) is a plus. Prior experience in financial services, banking, or credit risk modelling is beneficial. 5-8 years experience in a Data/Analytics role, ideally within a Financial Institution Why This Role Opportunity to build an analytics function from the ground up in a cutting-edge, entrepreneurial environment. Work with massive datasets and More ❯

10+ years of experience in at least one of the following: SAP Analytics Cloud, SAC Planning, S4HANA Analytics, SAP Datasphere Data Warehouse Cloud – DWC -23 full life cycle implementations exposure -Expert level knowledge of at least one of the SAP data warehousing solutions like SAP BW4HANA or SAP HANA esp. HANA Cloud or HANA 2.0 for both modelling and scripting … including ability to write complex stored procedures. High level knowledge of various replication methods to HANA or BW -knowledge of deployment modes of various SAP Analytics solutions Cloud, OnPremise, Hybrid would be a plus -Good core consulting skills – Oral and written communication, organization and planning, client facing and interpersonal skills -Good knowledge of latest trends in Analytics space including platforms … and solutions from other vendors -Experience working on mixed modelling with BW4HANA and HANA native modelling. -Knowledge on S4HANA Analytics like building and extending CDS Views, Creating Query Views or Building KPIs using KPI Modeller is preferred. -Handson experience in advanced analytics domain like Predictive Analytics or SAC Smart Features, SAC Application Designer is a plus. -Knowledge of development on More ❯

a major data and AI transformation. This is a London-based contract role working with senior technologists, AI engineers, and business leaders to modernise core systems and drive automation, analytics, and decision intelligence across the business. Key responsibilities: Build scalable data and analytics systems supporting multiple business functions. Develop and maintain ETL/ELT pipelines for large-scale financial and More ❯

verbal, and presentation skills Who we are & what we do: Gain Theory is a leading global marketing effectiveness and foresight consultancy. We combine quality data, proprietary technology, and advanced analytics to give our clients the confidence to make better informed investment decisions that drive growth. Growth is the defining characteristic of successful organizations, and Gain Theory’s vision is to … accelerate growth for ambitious brands. We define ambitious brands as those that generate earnings/profits above the industry average. We deliver: Data strategy, harmonization, and visualization. Advanced analytics and modeling, including MMM, attribution and unified measurement, testing, segmentation, behavioral sciences, choice analytics, simulation, war gaming, and forecasting. High-touch consultancy that includes bespoke roadmaps, training and education, industry benchmarking More ❯

Overview We are seeking a Developer to help modernise core business processes through data-driven and AI-enabled solutions. The role focuses on building scalable systems that enhance automation, analytics, and decision-making across key business areas. Key Responsibilities: Design and develop data and analytics platforms supporting multiple teams. Collaborate with AI engineers, data scientists, and business stakeholders to enhance More ❯

sectors to fully embrace digital transformation, building a global, category-defining business in the process. As the organisation scales its AI and machine learning capabilities across search, recommendations, and analytics, it is investing heavily in robust data infrastructure to enable rapid experimentation, reliable insights, and data-driven decision-making. The Senior Data Engineer will collaborate with Product Managers, ML Engineers … infrastructure that power AI-driven features and business intelligence, handling millions of events and requests daily. Key Responsibilities: Design, build, and maintain reliable ETL/ELT pipelines to support analytics, ML models, and business intelligence Develop scalable batch and streaming data pipelines to process millions of events and transactions daily Implement workflow orchestration using Airflow, Dagster, or similar tools Build … data validation and quality monitoring frameworks to ensure data accuracy and reliability Collaborate cross-functionally with Software, ML, and Analytics teams to deliver production-ready data products Mentor junior engineers and contribute to engineering best practices Required Skills & Experience: 5+ years of experience building and maintaining data pipelines in production environments Strong Python and SQL skills (Pandas, PySpark, query optimisation More ❯

is a greenfield opportunity to establish enterprise-wide data governance frameworks and design scalable data platforms. You'll be responsible for designing the firm’s architectural standards, enabling advanced analytics, AI/ML capabilities, and regulatory compliance while solving complex data integration, quality, and lineage challenges. You’ll have in-depth knowledge of Microsoft data technologies - including Azure Data Lake … Synapse Analytics, Fabric, and Power BI - be a strategic thinker who bridges business objectives with technical execution, translating data challenges into architectural solutions. Get in touch to learn more about this fantastic opportunity! Services offered by Computappoint Limited are those of an Employment Business and/or Employment Agency in relation to this vacancy. More ❯

corporate client and individual customer outcomes. Develop and maintain predictive models using data science and machine learning. Build models for customer lifetime value and other key metrics. Continuously refine analytics through iterative improvements. Deploy models into production to enable scalable decision-making. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics More ❯

and visualisation skills who loves bringing data to life for business and project stakeholders. You’ll be part of a collaborative team responsible for delivering high-quality reporting and analytics across programme, project, and executive levels. The ideal candidate will have solid Power BI experience, excellent stakeholder management skills, and the confidence to work across both front-end visualisation with … clear, actionable insights. Ensure data accuracy, consistency, and governance across all reporting outputs. Support ongoing enhancements to data models and reporting processes. Champion best practice in data visualisation and analytics within the team. What We’re Looking For 2+ years’ experience developing Power BI reports and dashboards. Strong front-end visualisation skills with an eye for clear, compelling data storytelling. … good understanding of back-end Power BI elements (DAX, Power Query, data modelling). Confident communicator with the ability to engage effectively with non-technical stakeholders . Passionate about analytics and delivering value through data. Desirable Experience in Project Controls or large-scale infrastructure projects. Familiarity with the Microsoft Power Platform (Power Apps, Power Automate). Why Apply? Competitive salary More ❯

Data Science Manager – Product Analytics (Marketplace Experience) London – Hybrid (1 day per week in office) Up to £95,000 About the Role Our client is a global marketplace redefining how people buy, sell, and experience fashion. With a huge community of users and backed by a major e-commerce group, they’re on a mission to make fashion more sustainable … a team of four Data Scientists, providing technical direction and mentorship. Partner with senior stakeholders, including Product and C-level teams, to drive data-led decision making. Oversee experimentation, analytics, and model development across key product areas. Step in hands-on when needed during busy periods to support the team with analysis or modelling. Promote best practices in data science … wider Insights function. Collaborate closely with Strategy and Finance teams to provide actionable commercial insights. What We’re Looking For Proven experience leading or managing a data science or analytics team. Strong technical foundation in SQL, Python, and machine learning principles. Excellent communication and stakeholder management skills – comfortable operating with senior leadership. Experience in a product-led, digital or marketplace More ❯

London (3 days per week on-site) A fast-growing entertainment company is expanding its data engineering team to build a modern, scalable data foundation that powers analytics, experimentation, and machine learning across the business. Data plays a key role in how the company grows, innovates, and delivers great experiences for its users. You’ll work alongside experienced engineers and … in a creative, fast-paced environment. Key Responsibilities: Build and maintain reliable, scalable data pipelines for structured, semi-structured, and streaming data Design and improve data models to support analytics and machine learning use cases Develop and support real-time data workflows using technologies such as Apache Kafka Monitor and ensure data quality, reliability, and security across the stack Contribute … to the evolution of data engineering practices, tooling, and automation Collaborate with analytics, product, and data science teams to make data accessible and trustworthy You will have: 2–3 years of experience in data engineering or a similar role Strong SQL skills and proficiency in at least one programming language (ideally Python) Understanding of data warehousing concepts and ETL/ More ❯

customer focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth. The Role As a Product Data Scientist, you’ll work closely with teams across the business to unlock insight, guide product strategy … and influence decision-making. You’ll use advanced analytics, experimentation, and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact. Key Responsibilities: Analyse user behaviour to uncover insights, identify pain points, and influence product direction. Design experiments and support a culture of testing, learning, and iteration. Define and align key business metrics, ensuring consistency and accuracy across … tools to empower stakeholders with self-serve insights. Conduct deep-dive analyses to support strategic initiatives and provide clear recommendations. Collaborate across functions to close data gaps and drive analytics best practice. Stay current on industry trends and champion innovative approaches to product data science. The Candidate Proven experience in analytical roles, ideally within a digital-first or tech-led More ❯

supporting infrastructure and maintenance operations. Translate operational and maintenance requirements into scalable, technology-enabled solutions. Ensure effective integration between enterprise systems such as ERP, EAM, GIS, SCADA, IoT, and analytics platforms. Collaborate with engineering, operations, and maintenance teams to align solution design with business objectives. Asset Maintenance & Management Systems Implement and enhance Enterprise Asset Management (EAM) and Computerized Maintenance Management … Systems (CMMS). Develop data models and workflows for preventive, corrective, and predictive maintenance. Leverage analytics, IoT, and AI tools to improve asset reliability and optimize maintenance schedules. Support the adoption of digital twins and condition-based maintenance initiatives. Infrastructure Systems & Operations Support Manage integration of digital solutions with rail infrastructure technologies, including signaling, track, power, and facilities systems. Collaborate … solution documentation, architecture diagrams, and operational procedures. Innovation & Continuous Improvement Identify emerging technologies and best practices that enhance infrastructure performance, safety, and sustainability. Drive digital maturity through process automation, analytics, and continuous optimization initiatives. Support capability building and change management within cross-functional teams. Qualifications & Experience Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field. Master More ❯

effectively delivered, and technology supports the organisation’s long-term strategic goals. Key Responsibilities Lead and coordinate the activities of teams across data engineering, data management, data governance, and analytics enablement. Oversee the capture, prioritisation, and delivery of all data requirements, ensuring platforms and products meet organisational needs. Partner with technology, business, and external stakeholders to design and evolve a … robust data and analytics architecture that supports evidence-based decision-making. Take ownership of the organisation’s data foundations and platforms, supporting the delivery of key digital and transformation initiatives. Work closely with senior technology and data leaders to shape and implement the organisation’s overall data strategy. Act as the senior owner of the Data Governance Framework , ensuring consistent … promoting a culture of continuous improvement. About You Proven experience leading cross-functional data teams within large, complex organisations. Strong understanding of data management principles, data engineering, modelling, and analytics — with a focus on delivering measurable value. Demonstrable success in implementing systems and processes that enhance data-driven decision-making and digital engagement. Hands-on experience with modern data ecosystems More ❯

effectively delivered, and technology supports the organisation’s long-term strategic goals. Key Responsibilities Lead and coordinate the activities of teams across data engineering, data management, data governance, and analytics enablement. Oversee the capture, prioritisation, and delivery of all data requirements, ensuring platforms and products meet organisational needs. Partner with technology, business, and external stakeholders to design and evolve a … robust data and analytics architecture that supports evidence-based decision-making. Take ownership of the organisation’s data foundations and platforms, supporting the delivery of key digital and transformation initiatives. Work closely with senior technology and data leaders to shape and implement the organisation’s overall data strategy. Act as the senior owner of the Data Governance Framework , ensuring consistent … promoting a culture of continuous improvement. About You Proven experience leading cross-functional data teams within large, complex organisations. Strong understanding of data management principles, data engineering, modelling, and analytics — with a focus on delivering measurable value. Demonstrable success in implementing systems and processes that enhance data-driven decision-making and digital engagement. Hands-on experience with modern data ecosystems More ❯