1 to 25 of 50 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 ...

Fanvue scales its mainstream creator business, capital deployment and advance pricing are becoming a critical growth lever. This role exists to build the predictive engine that allows us to price accurately, move fast on competitive deals, and protect downside risk as we scale. 🎯 The Role We’re hiring … Mainstream Creator Advance Analytics Lead to own the predictive modelling and deal analytics behind our creator advance strategy. When we sign major creators, we deploy upfront capital against projected earnings. Getting that forecast right directly impacts growth, deal velocity, and portfolio returns. You’ll own the model ...

insights and visualisations for the Verity platform Leading, managing, and mentoring a high‐performing technical team Drive advanced analytics and data science initiatives, including predictive modelling, to uncover actionable insights and support strategic decision‐making and partner closely with the insights and analytics department Working closely with engineering … highly beneficial but not strictly necessary) Data quality oversight Data collections/ingestion/completion Understanding of software development best practices Skills in analytics modelling and statistical modelling A background in data science/ML for future hires and team support – minimum be able to showcase basic MVPs ...

skills to join our growing team. In this role, you will work closely with cross-functional teams to extract meaning from complex data, design predictive models, and translate insights into measurable business value. You’ll be instrumental in shaping how data informs strategy and drives innovation across the organisation. … identify, integrate, and leverage new data sources through product capabilities. •Collaborate with engineering teams to build, test, and deploy scalable data products and predictive models. •Execute analytical experiments to address challenges across multiple business domains. •Mine and process large structured and unstructured datasets to extract meaningful features and patterns. ...

client is a data-driven analytics organisation specialising in predictive modelling within the sports sector. They are seeking a Quantitative Analyst to join their modelling team, focusing on developing statistical models and delivering data-led insights. This role centres on modelling within a major global sport … with opportunities to contribute to research across additional sports and analytical projects. Key Responsibilities Develop and refine predictive models for pre-event and in-play scenarios Perform statistical analysis and hypothesis testing using large datasets Identify enhancements and research opportunities within existing models Maintain and improve mathematical libraries ...

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 ...

fraud strategy, and data science, with the ability to take ownership of detection logic, models, and decisioning frameworks. You will apply advanced analytics and modelling techniques to enhance financial crime detection, working closely with internal stakeholders and external vendors to deliver scalable, data-driven solutions. This is a hands … analytics to improve financial crime detection and prevention strategies Develop, optimise, and maintain fraud/FinCrime detection rules and analytical frameworks Build and enhance predictive models to support risk-based decision making Support the launch of new products, ensuring appropriate fraud and financial crime controls are in place Collaborate ...

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 ...

Junior to Senior Principal —to join our team. What You’ll Do Apply data science techniques to solve complex business challenges Design and implement predictive models, machine learning algorithms, and AI-driven solutions Build and optimize data pipelines for advanced analytics Deliver insights through statistical analysis, visualization, and storytelling ...

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 ...

science experience. You have delivered at least 3 data or ML products from problem definition to production deployment and monitoring.* Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics.* Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale.* Proficiency in SQL, Python ...

thin. What to Expect We’re looking for an ambitious Head of Data Science to join Raylo and lead the development of our advanced modelling capabilities. Raylo has built a strong data foundation over the past five years, with robust analytics and data engineering powering commercial decision-making across … business. In this role, you’ll take that foundation to the next level by designing, building and deploying predictive models that directly influence some of the most important drivers of Raylo’s growth - from credit risk and customer retention to personalised recommendations. You’ll work closely with teams across ...

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 ...

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. ...

across distributed environments Wrangle and analyse large, complex datasets to surface meaningful patterns and trends Build data science solutions in Python - spanning exploratory analysis, predictive modelling, and workflow automation Develop clear, interactive Tableau dashboards that make insights accessible to stakeholders at every level Bridge the gap between … data preparation through to final delivery Solid PySpark experience, particularly for large-scale data processing and pipeline development A firm grasp of data transformation, modelling principles, and big data environments Versatility across both data science and data engineering disciplines A sharp analytical mindset with a focus on generating insights ...

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. ...

datasets. Feature engineering and exploratory data analysis. Building classification or scoring models as needed (supervised ML). Supporting domain teams with insights, prototypes or predictive modelling. Working with data engineers to refine the data required for ML. Model Monitoring & Lifecycle Governance Build processes for ongoing monitoring of AI behaviour ...

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 ...

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/ ...

data wrangling, feature engineering, and scalable data pipelines.* **Depth Experience:** in at least one area, with experience across several (in approximate order of relevance):Predictive modeling over tabular data Deep Learning NLP + LLMs, GenAI agent pipelines Simulations Graph-based models Time-series forecasting Geospatial modeling Causal inference Reinforcement ...

process led by Forecasting and Analytics, ensuring high-confidence evaluation of future slate business potential. Drive advanced analytics and data science applications including statistical modelling, machine learning, generative AI-enabled insight discovery, predictive modelling, and optimization. Establish enterprise standards for data governance, BI practices, and insight delivery … Deep expertise in qualitative and quantitative consumer research, including global market segmentation and cultural insight translation. Demonstrated track record in applying advanced analytics, statistical modelling, and AI or machine learning to real business outcomes. Practical experience with BI ecosystems and data governance, including data pipelines, data quality standards ...

Bridge hybrid, £65,000 plus benefits A great opportunity to take on a strategic Lead Data Analyst role where you will work across experimentation, modelling and BI projects, while shaping long term data strategy and supporting complex digital marketing programmes. The Company They are a high growth data … combining analytics, data science and engineering to drive measurable, sustainable growth for well known brands. Their work spans digital marketing data, advanced measurement and predictive modelling, with strong access to client datasets and a culture centred on technical excellence. The Role * Lead analytical work across experimentation, causal inference ...

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 ...

more. Leading model development from the ground up to drive business impact. A great next step for a data scientist who thrives in the modelling space. We’re looking for a Senior Data Scientist with a passion for building risk models. If you’re the kind of data scientist … stress that enough!). We’re looking for someone technically strong (likely a data scientist or similar) with a proven background in modelling risk across different environments.As part of a specialist Risk Modelling Team, you’ll operate in a collaborative, matrix-style environment. Your work will include model ...