1 to 25 of 40 Predictive Modelling Jobs in London

This is a great opportunity to join a high-impact data function within a major transport organisation, working on complex datasets, geospatial challenges, and predictive modelling that directly shapes customer experience and operational performance. If you are looking for a hands-on, traditional Data Science role with plenty … business to unlock value from complex, high-volume datasets. The Role As a Data Scientist, you will work on a broad range of modelling and analytical projects, from exploratory analysis to predictive modelling and geospatial insight. You will help the team extract deeper value from diverse datasets ...

funded, high-impact organisation. You will join at a pivotal moment as they expand their AI, automation, and analytics function, taking full ownership of predictive modelling projects that directly influence commercial decisions and operational efficiency. The Company They are a specialist organisation operating at the intersection of healthcare … strong investment behind technology and AI, they are now evolving towards a more sophisticated, data-driven operating model. The Role Lead the development of predictive ML models to optimise pricing, bidding strategies, and market behaviour. Build data-driven workflows that improve operational processes and automate manual tasks. Contribute ...

deliver high-impact analytics solutions usingPower BIandAzure Analysis Services Lead and mentor a talented team of analytics professionals Introducemachine learning and AIto unlock predictive and advanced insights Partner with stakeholders across the organisation to embed data-driven thinking into everyday decision-making What Youll Bring Were looking for someone … leadership: Proven experience in analytics, BI, or data science, including both hands-on delivery and team leadership Strong proficiency inPower BI,SQL, andsemantic data modelling Hands-on experience applyingML/AI techniques(e.g., predictive models, NLP) to real-world challenges Excellent communication skills and a passion for coaching ...

contract (likely extension) London or Reading | Hybrid (2 days onsite) You'll collaborate with senior stakeholders to explore complex datasets, engineer features, and develop predictive models that identify growth opportunities and improve customer engagement strategies. Key Responsibilities Develop and maintain revenue opportunity (rSAM) models to identify growth opportunities across … customer base. Build and deploy predictive models including propensity models, customer segmentation, forecasting, and customer lifetime value modelling . Conduct business analysis to identify performance gaps and recommend improvements. Deliver customer and channel segmentation to optimise engagement strategies and sales campaigns. Partner with data engineering teams to productionise ...

traders, quantitative researchers, and data scientists. The work focuses on building scalable pipelines, enabling real-time analytics, and delivering high-quality datasets used for predictive modelling, machine learning, and systematic trading strategies. This role requires someone who combines strong technical data engineering capability with commercial awareness, capable ...

genuinely excited about delving into data, whether new or existing, and harnessing the power of advanced statistical tools and techniques such as machine learning, predictive analytics, and computational vision? Is transforming data into practical insights that drive operational and strategic decisions across DVSA something that fires your enthusiasm … maintaining existing risk and demand models. Apply your ingenuity to analyse diverse data sets with cutting-edge statistical methods, from machine learning to predictive analytics, using Python. Identify trends and patterns, turning them into actionable insights that support the development and improvement of services. Presenting your findings ...

genuinely excited about delving into data, whether new or existing, and harnessing the power of advanced statistical tools and techniques such as machine learning, predictive analytics, and computational vision? Is transforming data into practical insights that drive operational and strategic decisions across DVSA something that fires your enthusiasm … maintaining existing risk and demand models. Apply your ingenuity to analyse diverse data sets with cutting-edge statistical methods, from machine learning to predictive analytics, using Python. Identify trends and patterns, turning them into actionable insights that support the development and improvement of services. Presenting your findings ...

genuinely excited about delving into data, whether new or existing, and harnessing the power of advanced statistical tools and techniques such as machine learning, predictive analytics, and computational vision? Is transforming data into practical insights that drive operational and strategic decisions across DVSA something that fires your enthusiasm … maintaining existing risk and demand models. Apply your ingenuity to analyse diverse data sets with cutting-edge statistical methods, from machine learning to predictive analytics, using Python. Identify trends and patterns, turning them into actionable insights that support the development and improvement of services. Presenting your findings ...

Power BI and Azure Analysis Services. Lead a team of analytics professionals, mentoring and setting best practices. Introduce machine learning and AI to support predictive insights. Collaborate with stakeholders to drive data-informed decisions across the organisation. What Youll Bring Proven experience in analytics, BI, or data science with … both hands-on technical delivery and leadership responsibilities. Expertise in Power BI, SQL, and semantic modelling. Experience applying ML/AI techniques (e.g., predictive modelling, NLP) to real-world problems. Excellent communication skills and a passion for mentoring. A degree in a relevant field or equivalent experience; Relevant ...

finance data. We are looking for a hands-on Data Scientist to work alongside our lead data scientist to experiment, engineer, and deliver innovative predictive models into our modern AWS production environments. The Technical Reality: We operate a pragmatic stack where Linear Regression remains vital for stability and baseline … consumers to access the most suitable financial products, whilst supporting our customers in discovering good responsible actors and highlighting potential risks from others. Responsibilities Predictive Modelling (Linear & Non-Linear): You will build and maintain foundational Linear Regression models for credit, affordability, and fraud scoring, while developing advanced XGBoost ...

oversight, and setting technical standards - without formal line management responsibility. The role remains hands-on, focused on the design, build, validation, and deployment of predictive and risk models within a regulated environment. Role: Provide technical leadership and task oversight to a team of Data Scientists. Set coding standards, modelling best practice, and governance frameworks. Design, build, and deploy production-grade ML models (predictive & risk). Develop scalable ML pipelines in Python. Implement robust validation, monitoring, and performance frameworks. Translate business and risk requirements into advanced analytical solutions. Work closely with actuarial, risk, and engineering teams to operationalise ...

Scientist to join a growing data team responsible for extracting deeper insights from large operational datasets. The role offers the chance to work across predictive modelling, geospatial analysis, and commercial analytics while collaborating closely with stakeholders across the business. Key Responsibilities • Build and deploy predictive models using ...

analytics, cloud, and data science, with mentorship from experienced consultants. Exposure to a wide variety of projects across web analytics, data warehousing, CRM, and predictive modelling. A supportive, tight-knit team culture where your ideas are heard and you can progress quickly as you grow your skill set. ...

want to build predictive models that directly shape commercial strategy? Have you delivered machine learning solutions that moved real business metrics? Are you ready to be the first dedicated Data Scientist in a growing analytics function? A London-based strategic sourcing and supply chain business, backed by two global … highly regulated environment, the organisation plays a critical role in optimising pricing, supplier strategy and risk management at scale. They are now investing in predictive modelling to drive smarter commercial decisions across sourcing and operations. This Senior Data Scientist role offers genuine ownership. You will lead the development ...

including dashboard reporting and deep dive evaluations to understand the impact marketing has on customer behaviour Deliver and take lead on customer projects (segmentation, modelling), utilising statistical techniques to develop a deep understanding of customers Ensure that the most relevant methodologies are applied to measure and evaluate, proactively recommending … design, update and automation using tools such as PowerBI, Tableau and Looker Studio Good knowledge of advanced data analysis techniques that include customer segmentation, predictive modelling, multivariate analysis, querying and reporting tools, A/B testing and statistical significance We believe the best work happens when ...

distribute data from a wide range of internal and external sources. Your work will ensure data is structured, reliable and readily available for analytics, predictive modelling and trading applications. You will collaborate closely with data scientists, quantitative teams and traders, helping transform raw data into actionable insights. ...

ingestion frameworks for integrating multiple source systems into the cloud data platform. Design and govern data transformation frameworks using DBT. Define and enforce data modelling standards including dimensional modelling, star schema, and enterprise data models. Lead architecture reviews and solution design discussions for new data initiatives. Optimize Snowflake … data governance frameworks including access control, data security, and compliance standards. Design and support AI/ML-ready data architecture for advanced analytics and predictive modelling. Provide architectural guidance to data engineering, BI, and analytics teams. Design architecture to support data consumption for reporting systems, operational applications, and analytics ...

Delivering advanced marketing performance analysis across multi-channel campaigns, including CPA, CAC, LTV, ROAS, and funnel conversion performance. Conducting audience segmentation, cohort analysis, and predictive modelling to support acquisition and retention strategies. Owning A/B testing and experimentation frameworks alongside product and growth teams. Building dashboards … Tableau, Power BI, or Looker Studio. Comfortable running experiments, analysing cohorts, and measuring campaign impact. Able to work end-to-end across data extraction, modelling, visualisation, and insight delivery. Strong communicator who can turn complex analysis into practical recommendations. Familiar with GDPR-aligned, privacy-first analytics environments. Apply ...

skills with thought leadership to deliver innovative pricing solutions that maximise value for both customers and the business. You'll provide technical leadership on modelling and optimisation, champion best practices, and coach team members to embed cutting-edge methodologies across the department. Ultimately, you'll play a pivotal role … pricing capability and ensuring we stay ahead in a fast moving market. What you'll do: Lead the development and maintenance of predictive models (GLMs) and price optimisation techniques, including machine learning algorithms (GBM), Lifetime Value models (LTV), and fair pricing principles. Provide technical leadership on WTW Radar ...

with researchers and investment teams to onboard new datasets, build and maintain robust data pipelines, and transform raw data into structured features used in predictive modelling. The role also involves collaborating with external data vendors, monitoring data quality, and developing automated checks and reporting to ensure reliability ...

value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn Evaluate and optimise all models, identifying areas for development Work ...

code Startup-ready: resourceful, comfortable with ambiguity, bias to action Bonus: Experience in women's health, digital therapeutics, or regulated healthtech Deployed LLMs or predictive models in production environments Familiarity with FHIR, HL7, or secure health data pipelines Hands-on LLM work: prompt engineering, RAG, fine-tuning (LoRA/ ...

technology estates. Key Responsibilities AI Engineering & Delivery Design, build, and deploy production‐grade AI/ML solutions , including: LLM‐enabled applications (RAG, agents, copilots) Predictive models and intelligent automation AI services embedded into modernised platforms Own end‐to‐end AI lifecycle : discovery, PoC, productionisation, monitoring, and optimisation Implement MLOps ...

data-driven solutions that support better decision making. There is particular interest in candidates with backgrounds in Operational Research and Geospatial analytics , where mathematical modelling and spatial analysis can drive insight into complex systems, optimisation challenges and real-world decision making. The Role As a Senior Data Science Consultant … problem definition and exploratory analysis through to model development, deployment and stakeholder communication. Typical responsibilities include: • Designing and delivering advanced analytics, machine learning and modelling solutions • Translating client business challenges into analytical frameworks and data-driven insights • Developing predictive models and operational research approaches for complex decision problems ...

Treasury and Accounting teams to understand JD's capital operations and data sources, produce international cash flow analysis and forecasts, continuously refine and enhance predictive models; 4. Expense Analysis: Collaborate with Procurement to understand JD.com's procurement classifications and data sources, conduct international expense analysis, promptly detect data fluctuations ...