26 to 50 of 101 Predictive Analytics Jobs in London

Data Analyst – Commercial Business Partnering Hybrid – 1–2 days/week in Central London £42,700–£53,700 + bonus If you're craving a hands-on analytics role that goes beyond the dashboards — where your insights directly inform pricing, product, market expansion, and revenue forecasting — this could be your next move. I’m working with a global entertainment … building out a smarter, more scalable approach to commercial insight — and they’re hiring a Data Analyst to help drive that forward. The Role This is a rare standalone analytics role within the Commercial Business Partnering team — giving you end-to-end ownership of how data supports decision-making across sales, marketing, pricing, publishing, and even venue launches. You … ll be partnering with stakeholders across five continents, creating actionable insights from systems like Salesforce, NetSuite, and Google Analytics , and working directly with the CFO. What You’ll Be Doing: Partnering with commercial teams to define, explore and answer business questions Connecting multiple data sources (Salesforce, NetSuite, GA) into Power BI and DOMO dashboards Owning reporting automation and training More ❯

technical authority across the organization. Working closely with product teams, marketing team, and executive leadership, you'll develop innovative data science solutions, establish data strategy frameworks, and create advanced predictive models that directly impact product performance, player experience, and business growth. Your expertise will influence critical decision-making at all levels and help shape the future of our games. … teams Define and implement our data science strategy, aligning it with business objectives and ensuring that data insights drive key decisions across the studio Develop advanced machine learning models, predictive analytics systems, and statistical frameworks to optimize player engagement, retention, and monetization Create and enhance performance marketing models to improve user acquisition efficiency, ROI analysis, and LTV prediction … data science initiatives deliver measurable business impact What You Bring Genuine passion for video games and a deep understanding of the mobile gaming industry 5+ years of experience in analytics, with at least 2 years in a senior role, preferably in gaming or a similar digital product company Advanced degree in Computer Science, Statistics, Mathematics, or related quantitative field More ❯

technical authority across the organization. Working closely with product teams, marketing team, and executive leadership, you'll develop innovative data science solutions, establish data strategy frameworks, and create advanced predictive models that directly impact product performance, player experience, and business growth. Your expertise will influence critical decision-making at all levels and help shape the future of our games. … teams Define and implement our data science strategy, aligning it with business objectives and ensuring that data insights drive key decisions across the studio Develop advanced machine learning models, predictive analytics systems, and statistical frameworks to optimize player engagement, retention, and monetization Create and enhance performance marketing models to improve user acquisition efficiency, ROI analysis, and LTV prediction … data science initiatives deliver measurable business impact What You Bring Genuine passion for video games and a deep understanding of the mobile gaming industry 5+ years of experience in analytics, with at least 2 years in a senior role, preferably in gaming or a similar digital product company Advanced degree in Computer Science, Statistics, Mathematics, or related quantitative field More ❯

technical authority across the organization. Working closely with product teams, marketing team, and executive leadership, you'll develop innovative data science solutions, establish data strategy frameworks, and create advanced predictive models that directly impact product performance, player experience, and business growth. Your expertise will influence critical decision-making at all levels and help shape the future of our games. … teams Define and implement our data science strategy, aligning it with business objectives and ensuring that data insights drive key decisions across the studio Develop advanced machine learning models, predictive analytics systems, and statistical frameworks to optimize player engagement, retention, and monetization Create and enhance performance marketing models to improve user acquisition efficiency, ROI analysis, and LTV prediction … data science initiatives deliver measurable business impact What You Bring Genuine passion for video games and a deep understanding of the mobile gaming industry 5+ years of experience in analytics, with at least 2 years in a senior role, preferably in gaming or a similar digital product company Advanced degree in Computer Science, Statistics, Mathematics, or related quantitative field More ❯

key partner to the ES AI Center of Excellence and Enterprise Services Data team, helping to activate the AI agenda for EP&P - applying intelligent automation, insight generation, and predictive analytics to drive smarter, faster decision-making and more fully automated across the S2P lifecycle. This role sits at the intersection of process, technology, data, and change and … integrated technologies in the future, delivering an optimal user experience and measurable value Researching and helping to prioritize opportunities where AI may deliver value and activating AI, automation, and analytics-working with internal data and AI teams to unlock process intelligence and innovation and step change efficiencies What You'll Bring Leadership & Global Operations Extensive experience in leading large … implementation across multiple countries is a plus Data, AI & Innovation Strong analytical and innovative mindset with the ability to generate actionable insights from complex datasets Experience working with data, analytics, and/or AI teams to leverage intelligent automation and predictive capabilities in a business process context Appreciation for the evolving AI and data landscape and its impact More ❯

BI and Omni, and driving an internal data education programme. Partner with the Executive and Senior Leadership Teams to define and align data roadmaps with broader commercial goals. Deploy predictive analytics and machine learning models, such as Customer Lifetime Value (CLV) and propensity scoring, and operationalise them across club systems. Lead and develop a high-performing team of … stakeholder management and communication skills - able to translate complex data topics into business impact. Experience with web and app event tracking and testing through Google Tag Manager and Google Analytics What we can offer you 25 days annual leave Pension Contribution (Perm & FT Employees 5%) Private Health Insurance through Vitality Life Assurance (4 x base salary) Our commitment to More ❯

Data Engineer specializing in Natural Gas and Power, you will support the design, development, and optimization of advanced data infrastructure and products that support critical trading, risk, and market analytics functions. You will collaborate closely with traders, quantitative analysts, risk managers, and IT stakeholders to ensure data systems are scalable, secure, and aligned with the strategic goals of the … Contribute to the definition and execution of the enterprise data strategy, with a focus on Natural Gas and Power markets. Drive the development of advanced data products such as predictive analytics tools, real-time dashboards, and automated reporting systems. Expand and enrich datasets from public and proprietary sources to support market intelligence and forecasting. Evaluate and implement emerging More ❯

data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes. Our … use, labor practices). Stay current with regulatory developments, industry standard methodologies, and emerging data trends Collaborate with your team and partners to improve scoring models with automation and predictive analytics Present findings and recommendations to senior leadership and internal partners. Showcase clear progress with clear critical metrics Partner with Product and Engineering to ensure deliverables are well More ❯

and analysis of data for reporting purposes. AI Integration: Leverage AI to streamline and automate processes, enhancing efficiency and accuracy. Data Analysis: Conduct data pre-processing, statistical analysis, and predictive analytics to support project goals. Reporting: Create and present data visualisations and reports to communicate insights effectively. Key Details Vacancy Title Data Analyst Apprentice Employer Description Our values More ❯

a Data Scientist, you'll play a key role in the end-to-end lifecycle of their advanced machine learning models, working with structured and unstructured data to fuel predictive analytics. You'll be part of an agile, innovative team, developing cutting-edge solutions that are transforming the world of credit risk. Your work will have a real-world More ❯

oriented technology professional to architect the future of wine trading technology - from rebuilding our trading and settlement platform from the ground up, to creating an integrated ecosystem of data, analytics, and market intelligence tools that support customers across their entire business workflow. Liv-ex's product, tech and data functions are closely coupled and co-dependent. As such, you … wine market. Turn data into strategy: define and roll out a comprehensive data program that reshapes how wine businesses price, trade, and operate. Champion rapid innovation, from RPA and analytics quick wins to the groundwork for AI/ML-driven pricing, logistics, and market intel services. Envision and ship products that extend beyond trading to leverage Liv-ex data … to sales strategy Transform data into user centred tools & dashboards that influence customer behaviour and unlocks new revenue streams. Re-imagine market intelligence capabilities: to deliver actionable insights and predictive analytics that delight customers and increase wallet share. Embed product management excellence and customer centric, data driven decision making across the team, through all stages of the life More ❯

small business owners can better run their businesses. We help independent retailers buy sustainable and unique products from brands and wholesalers on a centralised platform, using artificial intelligence and predictive analytics to improve retailer forecast sales, manage inventory levels, and get sustainable finance. All we do is aimed at delivering more choice, better pricing, and more efficient logistics More ❯

building and maintaining performance metrics dashboards leading deep dives into corridor performance, and help develop future pricing strategies. Within this role, you'll be partnering closely with the Business Analytics, Business Management, Pricing product and Finance stakeholders based in Europe and Seattle. You'll be responsible for deep diving into customer behaviour across different customer segments to understand the … and comfortable using Python and/or R (experience with one or the other required) for analysis. Excellent candidates will have a diverse set of skills ranging from general analytics to statistics and programming, with a strong business intuition and judgement. Direct experience subject matter expertise with Pricing, Predictive analytics and modeling, or Remittances are a plus. More ❯

and working with clients to enhance our product offerings and grow our emerging quant services. The successful candidate will own the development of market valuation models and incorporate additional predictive analytics components across our web application, to support our growing client base and ensure continued expansion of our value proposition to clients. Key Responsibilities: Lead the design, development … model features, data pipelines, and analytical tools. Ensure model validation, back-testing, and continuous performance assessment, prioritizing scalability, reliability, and integrity. Provide thought leadership and strategic guidance on quantitative analytics across the firm and ultimately the broader market. Engage directly with clients to explain methodologies and results. Support API clients (pre- and post-sale) with onboarding and bespoke project … PhD) in quantitative finance, mathematics, computer science, physics, statistics, econometrics, or a related discipline. Minimum 5 years' experience in quantitative modeling roles within finance, preferably focused on fixed income analytics in a leading buy-side or sell-side firm. Expert proficiency in common programming languages and technologies, including Shell scripting, Python, SQL, and relational databases. Familiarity with cloud-based More ❯

for a brand-new MLOps platform, built from the ground up to support scalable, secure, and efficient ML model development, deployment, and monitoring. Work closely with data science, engineering, analytics, and AdOps teams to understand current workflows and identify opportunities to streamline and automate the ML lifecycle. Assess existing data, analytics, and infrastructure frameworks to identify reusable components … or Vertex AI Pipelines) Model versioning, monitoring, and governance Enable high-impact AdTech use cases including: Marketing Mix Modeling (MMM) Real-time personalization and bidding Audience segmentation and targeting Predictive analytics for campaign performance Ensure seamless integration with Order Management Systems (OMS), Customer Data Platforms (CDPs), Data Warehouses (e.g., BigQuery), and custom BI tools to support real-time More ❯

for a brand-new MLOps platform, built from the ground up to support scalable, secure, and efficient ML model development, deployment, and monitoring. Work closely with data science, engineering, analytics, and AdOps teams to understand current workflows and identify opportunities to streamline and automate the ML lifecycle. Assess existing data, analytics, and infrastructure frameworks to identify reusable components … AI Pipelines). Model versioning, monitoring, and governance. Enable high-impact AdTech use cases including: Marketing Mix Modelling (MMM). Real-time personalisation and bidding. Audience segmentation and targeting. Predictive analytics for campaign performance. Ensure seamless integration with Order Management Systems (OMS), Customer Data Platforms (CDPs), Data Warehouses (e.g., BigQuery), and custom BI tools to support real-time More ❯

as well as specialist practices Publicis Media Exchange (PMX), Performics, Publicis Sport & Entertainment, Publicis Media Content and NextTECHnow. Together they combine deep expertise in media investment, strategy, insights and analytics, data and technology, commerce, performance marketing and content. Publicis Media is part of Publicis Groupe and is present in more than 100 countries with over 23,500 employees worldwide. … AI/LLM-powered workflows Design, develop, and implement robust and scalable agentic workflows utilizing LLMs and AI for various marketing applications, including: Automated content generation, optimization, and personalization Predictive analytics for campaign performance and optimization Customer journey orchestration and personalized messaging Real-time data analysis and actionable insights generation Drive the technical direction of the team, ensuring More ❯

their chosen markets. By joining us, you will be diving into a world of data-driven exploration and innovation, revolutionising financial insights through cutting-edge technologies, machine learning and predictive analytics. Your contributions will shape the future of cross-border finance, helping clients such as HSBC, Lloyds, Mastercard, PayPal, Visa and The World Bank to uncover better paths to More ❯

a pivotal moment. You'll be instrumental in designing and implementing the organisation's first enterprise-wide data strategy, building a trusted, AI-ready data estate, and enabling advanced analytics across departments including HR, Finance, Commercial, and Digital. What You'll Be Doing: Define and lead the enterprise data strategy and governance framework. Architect scalable, Azure-based data platforms … to support BI, analytics, and AI. Integrate fragmented data sources into a unified, accessible, and secure data ecosystem. Enable predictive analytics and machine learning through clean, well modelled datasets. Collaborate with stakeholders across the business to align data initiatives with strategic goals. Promote ethical and sustainable data practices, including compliance with GDPR. What We're Looking For More ❯

a pivotal moment. You'll be instrumental in designing and implementing the organisation's first enterprise-wide data strategy, building a trusted, AI-ready data estate, and enabling advanced analytics across departments including HR, Finance, Commercial, and Digital. What You'll Be Doing: Define and lead the enterprise data strategy and governance framework. Architect scalable, Azure-based data platforms … to support BI, analytics, and AI. Integrate fragmented data sources into a unified, accessible, and secure data ecosystem. Enable predictive analytics and machine learning through clean, well modelled datasets. Collaborate with stakeholders across the business to align data initiatives with strategic goals. Promote ethical and sustainable data practices, including compliance with GDPR. What We're Looking For More ❯

a pivotal moment. You'll be instrumental in designing and implementing the organisation's first enterprise-wide data strategy, building a trusted, AI-ready data estate, and enabling advanced analytics across departments including HR, Finance, Commercial, and Digital. What You'll Be Doing: Define and lead the enterprise data strategy and governance framework. Architect scalable, Azure-based data platforms … to support BI, analytics, and AI. Integrate fragmented data sources into a unified, accessible, and secure data ecosystem. Enable predictive analytics and machine learning through clean, well modelled datasets. Collaborate with stakeholders across the business to align data initiatives with strategic goals. Promote ethical and sustainable data practices, including compliance with GDPR. What We're Looking For More ❯

a pivotal moment. You'll be instrumental in designing and implementing the organisation's first enterprise-wide data strategy, building a trusted, AI-ready data estate, and enabling advanced analytics across departments including HR, Finance, Commercial, and Digital. What You'll Be Doing: Define and lead the enterprise data strategy and governance framework. Architect scalable, Azure-based data platforms … to support BI, analytics, and AI. Integrate fragmented data sources into a unified, accessible, and secure data ecosystem. Enable predictive analytics and machine learning through clean, well modelled datasets. Collaborate with stakeholders across the business to align data initiatives with strategic goals. Promote ethical and sustainable data practices, including compliance with GDPR. What We're Looking For More ❯

a pivotal moment. You'll be instrumental in designing and implementing the organisation's first enterprise-wide data strategy, building a trusted, AI-ready data estate, and enabling advanced analytics across departments including HR, Finance, Commercial, and Digital. What You'll Be Doing: Define and lead the enterprise data strategy and governance framework. Architect scalable, Azure-based data platforms … to support BI, analytics, and AI. Integrate fragmented data sources into a unified, accessible, and secure data ecosystem. Enable predictive analytics and machine learning through clean, well modelled datasets. Collaborate with stakeholders across the business to align data initiatives with strategic goals. Promote ethical and sustainable data practices, including compliance with GDPR. What We're Looking For More ❯

a pivotal moment. You'll be instrumental in designing and implementing the organisation's first enterprise-wide data strategy, building a trusted, AI-ready data estate, and enabling advanced analytics across departments including HR, Finance, Commercial, and Digital. What You'll Be Doing: Define and lead the enterprise data strategy and governance framework. Architect scalable, Azure-based data platforms … to support BI, analytics, and AI. Integrate fragmented data sources into a unified, accessible, and secure data ecosystem. Enable predictive analytics and machine learning through clean, well modelled datasets. Collaborate with stakeholders across the business to align data initiatives with strategic goals. Promote ethical and sustainable data practices, including compliance with GDPR. What We're Looking For More ❯

company that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Principal Data Scientist to lead high-impact analytics and machine learning projects across a wide variety of real-world domains - from manufacturing to customer experience and commercial optimisation. Working closely with a multidisciplinary team, you’ll have … the intersection of technology, investment, and strategy. Key Responsibilities Translate complex business problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to … data science projects from concept to production Strong Python skills (including libraries like Pandas, NumPy, Scikit-learn); experience with other languages is a plus Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Experience with A/B testing and causal inference methodologies Bachelor More ❯