401 to 425 of 459 Predictive Modelling Jobs in the UK

Mathematics, Data Science, Computer Science, or a related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions … solutions for complex challenges, solving problems without prescriptive approaches. Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives. Developing predictive models and algorithms using statistical techniques and machine learning. Conducting and supervising rigorous statistical validation of models against historical and live data. Collaborating with ...

embedded partners to lines of business and HR functions worldwide. You will also collaborate with cross‐functional partners to build self‐service capabilities and predictive models. We value diversity, inclusion, and a culture of continuous learning to drive innovative, data‐driven HR solutions. Job responsibilities Build, scale, and lead … Business Intelligence team to automate recurring reporting and enhance self‐service capabilities Collaborate with the AI & Data Science team to shape derivative features, predictive models, and pattern recognition analytics Work with the Chief Data Office to ensure high‐quality source data, governance, and entitlements that underpin advisory narratives Required ...

embedded partners to lines of business and HR functions worldwide. You will also collaborate with cross-functional partners to build self-service capabilities and predictive models. We value diversity, inclusion, and a culture of continuous learning to drive innovative, data-driven HR solutions. Job responsibilitiesBuild, scale, and lead … with the Business Intelligence team to automate recurring reporting and enhance self-service capabilitiesCollaborate with the AI & Data Science team to shape derivative features, predictive models, and pattern recognition analyticsWork with the Chief Data Office to ensure high-quality source data, governance, and entitlements that underpin advisory narrativesRequired qualifications ...

embedded partners to lines of business and HR functions worldwide. You will also collaborate with cross-functional partners to build self-service capabilities and predictive models. We value diversity, inclusion, and a culture of continuous learning to drive innovative, data-driven HR solutions. Job responsibilities Build, scale, and lead … Business Intelligence team to automate recurring reporting and enhance self-service capabilities Collaborate with the AI & Data Science team to shape derivative features, predictive models, and pattern recognition analytics Work with the Chief Data Office to ensure high-quality source data, governance, and entitlements that underpin advisory narratives Required ...

feature extraction through statistical analysis and biological interpretation. Computational studies. You run your own proof-of-concept investigations: microbiome-compound interactions, community dynamics, predictive biomarkers. You're a scientist with hypotheses, not a technician with a task list. Perturbation data quality. You own the validation layer between the bench … understand molecule-microbiome interactions. About Us Outpost Bio pairs high-throughput functional assays of human-derived microbial communities with causal machine learning to build predictive models of microbiome-compound interactions. Unlike black-box approaches, our Lab-in-the-Loop process tightly couples experimental design and AI development ...

hockey, horseracingand golf. In this role, you will join the execution research team and will be focusing on devising automated betting strategies using our predictive models and algorithms used to market make/seed different bookmakers, market exchanges and predictions markets. Market making strategies, liquidity, price, risk, order book … provided from clients through their actions, the role might also include analysing betting patterns and market behaviour. This role combines rigorous statistical and mathematical modelling with production engineering. You will take models from research through to deployment, writing well-tested, documented code that integrates into our internal libraries. ...

exciting opportunity to join a high-performance quantitative trading business developing predictive models and systematic strategies across sports betting markets. · Job title: Sports Betting Quantitative Researcher · Location: Central London/Hybrid (4days on site/1 day WFH) · Job Type: Full-time, Permanent · Salary: £80,000+ base salary + … recruiting on behalf of a high-performance quantitative sports trading business looking for a Sports Betting Quantitative Researcher with proven experience building predictive models within sports betting. You'll develop and improve models and trading strategies across sports markets, working closely with experienced researchers, engineers, traders and the CIO. ...

Arch Europe Insurance Services Ltd in London seeks a senior analytics professional to design and deploy predictive models for insurance problems. You will collaborate across business partners, build advanced analytics solutions and mentor a growing team of data scientists. Candidate should have hands-on experience with real-time predictive ...

Scientist to join the Data & Analytics team and drive data-driven decisions across customer experience, pricing, personalisation, and operations. You will build and deploy predictive models, work with large datasets using Python, PySpark, SQL, and Azure Databricks, and clearly communicate findings to stakeholders. You will join a small, ambitious ...

assurance and ongoing monitoring of credit risk models and decision strategies. Working closely with Data Science, which leads the development and retraining of core predictive models, the Senior Decision Scientist will ensure that models are robust, appropriate for their intended use and translated into stable, controlled credit decisions. This … decision science, data science, credit risk analytics, model validation or a related quantitative role. Strong knowledge of statistics and data science, with sufficient modelling expertise to reproduce, evaluate and independently challenge predictive models. Advanced SQL skills for data extraction, validation, reconciliation and performance analysis. Advanced Python skills ...

build of credit risk models, treating ML as software engineering so everything you ship is fast, reproducible and robust. Design modelling frameworks for decisioning, pricing and fraud that move company-wide P&L, not just a dashboard metric. Build credit policies and lending strategies that expand our addressable market … contributing to the libraries the whole team relies on. You’ll stand out if you've worked on highly automated lending, price sensitivity modelling, or Customer Lifetime Value. What this role could turn into Senior Data Scientists here tend to grow into Staff or leadership roles with broader influence ...

inform who we lend to, on what terms, and how we grow into new segments where historical data is limited. You'll steer modelling priorities, define what good looks like for the portfolio, and translate analytical trade-offs into commercial decisions for a cross-functional squad. The CompanySmall businesses … adequately protected. The squad has a solid baseline of controls in place and is now investing to build the analytical layer on top — predictive models, real-time monitoring, and a joined-up strategy across risk. This new role leads that shift, defining what the squad optimises ...

highly communicative. Planning and creating a suitable working environment for data science workloads on Azure, as well as running data experiments and training predictive models. In addition, the Data Scientist will manage, optimise, and deploy machine learning models into production. Applicants must have hands‐on experience using Azure Machine … Learning and Azure Databricks as well as experience using advanced statistics and modelling techniques. Strong programming skills and proficiency in developing and deploying machine learning algorithms using Python or R, as well as solid knowledge of SQL and NoSQL databases are a must. Must also be well organised ...

This role is key to integrating Artificial Intelligence (AI) into financial audit processes, with a focus on creating and implementing Generative AI (GenAI) and predictive analytics solutions to boost efficiency, quality, and innovation. As part of the Financial Audit Data Analytics Team, the AI Specialist will take the lead … ChatGPT Enterprise to support audit methodology. Build client-specific AI copilots and automation workflows for audit tasks such as planning, documentation, and evidence review. Predictive Analytics & Machine Learning Experiment with ML algorithms (e.g., K-Means, Decision Trees, Isolation Forest, ARIMA) for anomaly detection, risk assessment, and forecasting. Collaborate with ...

ship responsibly and measure impact in production. Lead the design and implementation of batch and near-real-time models (e.g. LLM-powered experiences, predictive models, time-series forecasting). Collaborate closely with MLOps and Backend Engineering to operationalise models end-to-end and raise the bar on ML lifecycle … promise not to ask you any brain teasers or trick questions! 30 minute recruiter call 45 minute call with hiring manager Full Loop: ML Modelling Interview, Product & ML interview, Behavioural Interview, Leadership interview Our average process takes around 3-4 weeks but we will always work around your availability. ...

IT. You will lead cross-functional teams to deliver scalable, trusted, and sustainable digital products that turn experimental and observational data into actionable insights, predictive capabilities, and decision-support solutions. What You Will Do Define and drive the POD vision, value hypotheses, multi-horizon roadmap, and product portfolio strategy. … outcomes through Agile/Lean product practices. Strong product strategy capabilities, including vision setting, roadmapping, portfolio management, prioritization, and value measurement. Experience with analytics, predictive modeling, decision intelligence, planning, forecasting, optimization, or AI-enabled digital products. Understanding of AI/ML and agentic AI concepts, including human ...

leading sports analytics firm in London is seeking a Senior Data Scientist specializing in cricket modelling and simulation. The successful candidate will perform statistical analysis, develop predictive models, and ensure the data's robustness and validity. A PhD or equivalent industry experience is required, along with proficiency ...

insights and drive real-world outcomes. You will help establish the company’s first in-house ML capability, working within Data & AI to develop predictive models that enhance decision making, performance and customer value. The role involves applying advanced analytics, statistical modelling and ML techniques across multiple domains ...

build the next generation of product features powered by AI, ML, and intelligent automation. This is a hands-on backend role focused on turning predictive models, LLM capabilities, and business intelligence into real product experiences. You will work on backend services, APIs and MCPs that bring automation, prediction … help Spendesk move from isolated intelligence components to real, user-facing product capabilities. In practice, this means partnering with ML Engineers to productionize predictive logic, expose it through clean APIs and services, and integrate it into workflows that automate tasks, simplify decision-making, or anticipate user needs. ...

development and enhancement of forecasting models using machine learning and statistical techniques. You'll analyse complex datasets, identify market signals and help deliver predictive insights that support Front Office trading activity. You'll work collaboratively across Trading, Quantitative Analytics and Technology teams, gaining exposure to both the technical … statistical techniques to predict prices, demand and other key market variables. Analyse large datasets from market, weather, generation and trading sources to identify predictive patterns. You'll ideally have: A PhD in Computer Science, Machine Learning, Data Science or another highly quantitative discipline. 1–3 years' commercial experience ...

dashboards/alerts that catch arrears spikes, roll-rate shifts, and decisioning anomalies early. Bridge model health and business decisions - partner with Risk Modelling to translate model metrics (AUC, PSI, calibration, drift) into policy and product recommendations, and diagnose whether performance moves are model-driven, macro, or operational. Lead … decisioning - work with Credit Policy and Decision Science to build evaluation frameworks for policy changes, quantify their marginal impact, and support elasticity/profitability modelling on pricing and limits. Manage and develop a team - directly manage Credit Data Scientists and Analysts: set priorities, manage performance, and grow the team ...

developing, fine-tuning, training, validating and governing advanced AI and machine learning models, including Large Language Models (LLMs), Small Language Models (SLMs) and predictive models. The successful candidate will lead high-value experimentation and pilot delivery, providing deep technical leadership across model engineering, data science, vendor strategy … pilot programmes for emerging AI use cases and support successful transition into production environments. Provide leadership and subject matter expertise across data science, statistical modelling, machine learning and AI algorithms. Define and oversee model governance frameworks, including model drift monitoring, hallucination measurement, performance evaluation and accuracy tracking. Evaluate ...

Campus Quantitative Researcher (Full-Time) Graduate quant research role building predictive models and automated trading algorithms with training in markets, statistics, R, Python, C++, machine learning, and signal research. In-house training covers trading and market mechanics, statistics, R, Python, C++, machine learning, and the research process used … generate signals. What you will do Build predictive models from large datasets. Develop algorithms that execute trades automatically across global exchanges. Test research ideas using Jump's computing resources. Work across quantitative research, data science, algorithmic trading, and software development as needed. What Jump looks for Undergraduate or graduate ...

recruiting an analytical mastermind as our next Data Analyst directly based in London. Your core responsibilities involve meticulously interpreting colossal datasets and generating deep predictive reports. The insights you extract from massive data analytics operations will directly revolutionize our broader digital marketing strategies and redefine enterprise decision-making … constructing automated data-lake pipelines.* Engineering stunning visual dashboards and real-time visualization reports for executive stakeholders.* Relentlessly collaborating across departments to integrate predictive models into ongoing marketing intelligence flows.### Perks & BenefitsElite compensation structures reflecting top London market standards, plus bonusesCompletely hybrid scheduling prioritizing modern flex-work independencePremium tier ...

machine learning techniques to this domain. Your team will work with a complex and diverse array of datasets to implement and rapidly iterate on predictive models. Despite the complexity of these problems, market returns provide immediate and unambiguous outcome data for measuring success. Your team won’t just conduct … improvements to product performance and risk management Develop a rich understanding of Voleon’s domainand methodologies Prepare and analyze new datasets to assess their predictive efficacy Develop, validate, and implement new models into production Design and conduct experiments to improve simulations and evaluate the success of new models ...