25 of 25 Permanent Predictive Modelling Jobs in Central London

insight and drive impactful business decisions. Your Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance … Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to More ❯

Senior Data Scientist – Behavioural Credit Modelling Hybrid working – London offices Up to £75,000 DOE + Benefits Ref: J12979 Are you passionate about building behavioural models that power smarter, fairer credit decisions? We’re working with a UK-based consumer finance specialist that’s reshaping the credit industry, cutting out complexity and using data to drive real-world impact. … production. Your work will directly power business decisions across underwriting, fraud detection, and customer conversion . This is a hands-on, end-to-end role where your skills in predictive modelling will make a real-world impact. You’ll be working with structured and unstructured data as part of a collaborative, agile team—developing intelligent solutions that support More ❯

MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this role More ❯

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 … lead 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 … in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) Excellent communication skills and a collaborative mindset Example Projects You Might Work On Optimisation models to increase manufacturing throughput Predictive models for asset maintenance and downtime reduction Customer churn prediction and retention modelling Sales optimisation through next-best-action models Geospatial analysis to inform store or facility network More ❯

optimising and automating Pricing processes to enable faster, more accurate decision-making. Your work will focus on developing and maintaining tooling and frameworks that enhance the efficiency of our predictive models, reducing deployment times, increasing scalability, and improving model performance through regular updates and monitoring. You will work closely with the Data Scientists and Product team to deliver scalable … number of years of great success have hit profitability and now want to grow through strategic hiring. Key Responsibilities Build model lifecycle tooling (deployment, monitoring and alerting) for our predictive models (for example claims cost, conversion, retention, market models) Maintain and improve the development environment (Kubeflow) used by the Data Scientists Develop and maintain pricing analytics tools that enable More ❯

spanning football, soccer, cricket, and major US sports like the NBA. As part of their elite trading team, you’ll harness advanced statistical techniques and machine learning to build predictive models that shape their trading strategies. In this role, you’ll drive revenue growth and develop mathematical models to predict the outcomes of sports events. Responsibilities: Utilise advanced statistical … techniques and machine learning to build predictive models that shape our trading strategies Develop predictive models for sports outcomes using advanced mathematical and statistical techniques. Analyse real-world sports data to uncover patterns and generate insights that inform trading strategies. Implement and optimise numerical methods to support robust, scalable model performance in live environments. Collaborate closely with fellow … researchers and developers in a fast-paced, science-driven team environment. Continuously innovate and improve modelling approaches to stay competitive in dynamic and data-rich sports markets. Requirements: MSc, PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a More ❯

Hiring: Quantitative Analysts – Sports Modelling | London | Up to £130k + Bonus 🚨 A high-performing, close-knit team of researchers and software developers is looking to add Mid-Level and Senior Quantitative Analysts to their growing group. This firm trades on global sports markets using cutting-edge statistical modelling and high levels of automation. 📍 Location: Central London (5 days … a week, with some flexibility) 💰 Salary: Up to £130,000 + 20% Bi-Annual bonus + benefits What you'll do: Build predictive models for sports outcomes (e.g. football, tennis, cricket) Apply rigorous statistical techniques to large real-world datasets Contribute directly to trading strategies in a high-impact, low-bureaucracy setting What we're looking for: MSc/… Maths, Stats, Physics, Computer Science) Strong experience working with real-world data Proficiency in Python (mandatory); R, MATLAB, and C# are a plus Deep understanding of probability, statistics, and modelling Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and real-time analytics Private healthcare, pension More ❯

technical teams in configuring extraction tools, refining scripts, and ensuring clean data outputs. Data insights – Uncovering key trends in client data and presenting meaningful insights to inform their strategies. Predictive models – Customising existing models to meet client needs and assessing feasibility for new analytics solutions. Cohort analysis – Defining target groups, testing interventions, and iterating approaches based on client feedback. … sector clients, they enable them to proactively address complex societal challenges like financial vulnerability and housing instability. Their approach integrates disparate datasets, applies cutting-edge machine learning, and utilises predictive analytics to pinpoint those most in need. Our platform transforms this information into actionable insights, equipping professionals with the tools to intervene early and drive meaningful change. In the More ❯

analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such as customer lifetime value, predictive modelling, bidding optimisation, and experimentation, whilst also acting as a data lead for major clients. Initially hands-on, this role will evolve into a more strategic leadership position … team management responsibilities (starting with three Data Scientists, growing to five within a year) expected within the first six months. Key Responsibilities Lead and deliver data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and … algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value (CLV) modelling Propensity scoring and lead prioritisation Budget allocation and bidding optimisation Experimentation, A/B testing, causal inference, MMM Advanced analytics (e.g. marginal returns curves, supply-demand modelling) Strong More ❯

of all forecast models. What we're looking for: Solid academic background in Statistics, Mathematics, Economics, Data Science, or a related discipline A number of years experience in Risk Modelling, Credit Risk, Risk Management Proficiency in statistical tools, preferably Python or R Practical exposure to machine learning, predictive modelling, and advanced analytics techniques Industry experience in Automotive More ❯

Maintain documentation of data analysis processes. Methodology and results to ensure replicability and transparency with the wider D&A Team. Utilize advanced machine learning and AI techniques to develop predictive models for improving business processes, caregiver experience, and operational efficiency. Apply Statistical analysis methods to interpret data trends, patterns, correlations and communicate insights and recommendations to operational teams. What More ❯

Data Scientist - Risk Modelling | Automotive🚘 | London (Hybrid) | £60,000-£90,000 Peaple Talent have partnered with a leading Automotive business who deliver smart & sustainable solutions that improve customers’ mobility. They're the UK’s largest car leasing company and help over 750,000 people get on the road. My client are unique in that they provide comprehensive insurance as … robustly implemented. What we're looking for: A strong background in Statistics, Mathematics, Economics, Data Science, or a related field A number of years of experience working within Risk Modelling, Risk Management, Risk Validation Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictive modelling Industry knowledge More ❯

team management responsibilities (starting with three Data Scientists, growing to five within a year) expected within the first six months. Key Responsibilities Lead and deliver data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and … algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value (CLV) modelling Propensity scoring and lead prioritisation Budget allocation and bidding optimisation Experimentation, A/B testing, causal inference, MMM Advanced analytics (e.g. marginal returns curves, supply-demand modelling) Strong More ❯

and documentation for internal stakeholders and client delivery. Stay updated with regulatory changes, market trends, and actuarial best practices. Required Skills & Experience: Production grade Python experience 2+ years of predictive modelling and advanced analytics methods experience Experience of insurance/reinsurance pricing techniques (Hx) Experience in developing models in Python Experience in customer facing roles More ❯

This is still a largely hands on role, with around 20% team leadership. What You’ll Do Oversee data science projects, guide junior team members, and drive innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use machine learning and statistical techniques to analyse trends More ❯

This is still a largely hands on role, with around 20% team leadership. What You’ll Do Oversee data science projects, guide junior team members, and drive innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use machine learning and statistical techniques to analyse trends More ❯

that supports your wellbeing and personal growth. What We’re Looking For: 3+ years of experience in data science, machine learning, or applied AI roles. Strong background in statistics, predictive modeling, and advanced machine learning techniques. Proven ability to lead end-to-end AI projects—from data exploration and model development to deployment and evaluation. Expert-level proficiency in More ❯

opportunity to work on high-impact projects that directly influence customer engagement, marketing effectiveness, and business growth. The Role As a Senior Data Scientist, you will: Develop and deploy predictive models to enhance customer targeting and engagement. Work on churn prediction to help improve customer retention strategies. Apply customer segmentation techniques to optimise marketing campaigns. Build marketing attribution models … improve campaign performance. Collaborate with stakeholders across the business to translate insights into actionable strategies. Your Skills & Experience We’re looking for a Data Scientist with: Strong experience in predictive modeling, customer analytics, or marketing data science. Proficiency in Python (Pandas, NumPy, Sci-Kit Learn) or similar tools. A proven track record of delivering impactful, data-driven solutions. Strong More ❯

high-impact work across paid media, measurement, and advanced analytics. They operate at the intersection of marketing and data science – with a track record of developing sophisticated experimentation and predictive modelling solutions for major UK brands. This isn’t short-term agency work — they partner closely with clients, often with direct access to raw data and a strong … seat at the strategy table. THE ROLE: As a Senior Data Scientist, you’ll play a key role in leading the delivery of analytics projects across experimentation and predictive modelling. You’ll work directly with clients, helping them answer complex marketing questions and improve performance using robust, data-led methods. This role comes with significant autonomy — you’ll lead … responsibilities include: Own end-to-end delivery of data science projects across marketing measurement and advanced analytics Design and implement experiments (incrementality, geo testing, brand lift, causal inference) Build predictive models (LTV, propensity, pricing) using Python and SQL in a cloud environment Translate complex outputs into clear, strategic recommendations for clients Contribute to internal R&D and shape best More ❯

established for more than 10 years, successfully developing statistical models and analytical frameworks. The successful Quantitative Analyst will work within the prediction team, using extensive datasets to enhance existing predictive models as well as researching new methods. The role will be working alongside a team of Quants, Developers, and Analysts. Due to the nature of the business this is … mainly an office-based role. Experience required: 3+ years' experience within predictive modelling, machine learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects models, time series forecasting etc Strong programming ability, preferably in Python SQL and relational databases More ❯

You will need to have very strong Python skills alongside additional knowledge of another main language and experience working with large data sets, including classification, regression, distribution analysis, and predictive modeling If you would like to work with an industry leader, and would like to find out more, apply now More ❯

and non-technical stakeholders YOUR SKILLS AND EXPERIENCE Strong technical experience in SQL (specifically within Windows Functions), Snowflake, Data Visualisation and Python/R Strong background in advanced analytics, predictive modelling and exploratory analysis Proven expertise in DBT and reporting Strong stakeholder management skills THE BENEFITS Up to £85,000 + bonuses + equity Hybrid London HOW TO More ❯

can enhance product offerings. Design and run experiments to test hypotheses and support product development. Develop robust data pipelines to support science experimentation and production. Deploy, maintain, and monitor predictive models in live environments. Communicate findings and technical concepts clearly to both technical and non-technical audiences. Contribute to agile delivery workflows and cross-functional collaboration. What We’re More ❯

We are seeking a skilled Machine Learning Developer with expertise in Spark ML, predictive modeling, and deploying training and inference pipelines on distributed systems such as Hadoop. The ideal candidate will design, implement, and optimize machine learning solutions for large-scale data processing and predictive analytics. London Long Term Contract Rate - 550-600 pd Hybrid - Max Three Days … in the office Responsibilities: Develop and implement machine learning models using Spark ML for predictive analytics. Design and optimize training and inference pipelines for distributed systems (e.g., Hadoop). Process and analyze large-scale datasets to extract meaningful insights and features. Collaborate with data engineers to ensure seamless integration of ML workflows with data pipelines. Evaluate model performance and … performance. Stay updated with advancements in machine learning frameworks and distributed computing technologies. Required Skills: Proficiency in Apache Spark and Spark MLlib for machine learning tasks. Strong understanding of predictive modeling techniques (e.g., regression, classification, clustering). Experience with distributed systems like Hadoop for data storage and processing. Proficiency in Python, Scala, or Java for ML development. Familiarity with More ❯

across platforms (e.g., Google Sheets, internal systems) for operational transparency. Develop comprehensive reports and interactive dashboards to support internal teams and high-profile clients. Use historical trend analysis and predictive modeling to inform decisions related to logistics, capacity planning, and risk mitigation. Oversee and execute complex, high-volume art collection projects, including condition reporting, domestic and international movement coordination More ❯