1 to 25 of 29 Statistical Modelling Jobs in London

Remote (UK based) About the Role We are seeking a highly skilled Data Scientist IV to develop innovative solutions through advanced exploratory data analysis, statistical modelling, and machine learning. This role is suited to someone who excels in solving complex analytical problems, working with large-scale datasets … features, predictive models, and business insights that drive product improvement. Key Responsibilities: Advanced Analytics & Machine Learning Apply expertise in statistics, machine learning, programming, data modelling, simulation, and advanced mathematics to identify patterns, opportunities, and business questions. Design, develop, and evaluate predictive models and algorithms to maximise value extraction from ...

numerate discipline is a minimum pre-requisite. Strong in Mathematics and Statistics. A higher qualification and ability to evidence more in-depth work in statistical modelling would be a plus Experience in the design and implementation of statistical/machine learning models to solve real world problems ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

embedded throughout the organisation. The Role This is an exciting opportunity for a commercially minded Data Scientist to take ownership of end-to-end modelling within a fast-paced, consumer-focused business. You’ll work across the full data science lifecycle — from exploratory analysis and predictive modelling through … lens, with projects spanning customer acquisition, retention, portfolio performance, and wider commercial optimisation. The Candidate Key attributes of the suitable Data Scientist include: Technical modelling expertise – Strong technical foundation in Python and SQL, with experience developing and deploying end-to-end predictive models. Commercial communication skills – A commercially minded ...

Quants to translate research ideas into production-grade models and code . Build and maintain high-performance C++ and Python components used for modelling, simulation, and live trading. Design scalable Linux-based data and compute architectures , including feature engineering and large dataset processing. Support the creation of robust backtesting … within a trading, hedge-fund, or asset-management environment. Strong programming skills in: C++ (performance-critical research and execution components) Python (research, data processing, statistical modelling) Solid experience working in Linux environments, including scripting, debugging, and performance optimisation. Understanding of software architecture and experience contributing to scalable, modular ...

agents to predictive models embedded in automated workflows, your work will directly influence business operations at scale. You’ll operate at the intersection of modelling, engineering, and intelligent automation. 🌐 What You’ll Do 🧠 Model Development & AI Systems Design Design and train predictive models using AWS SageMaker Develop LLM-powered … Business Impact & Leadership Identify high-impact AI use cases Translate business problems into ML system designs Lead experimentation frameworks (A/B testing, uplift modelling) Mentor data scientists and collaborate closely with data engineering Communicate AI strategy and risk to senior stakeholders 🛠 Technical Environment Core Data Science Advanced Python ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

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 ensure scalable, production-grade solutions Act as a technical lead within project teams, mentoring … model accuracy. Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master ...

systems. Knowledge of energy trading, commodities, or financial markets. Understanding of curves, market data, pricing models, algo workflows, and analytics platforms. Quantitative skills in statistical modelling, machine learning, or computational analytics. Experience leading multi-country engineering organisations and large-scale platform transformations. Strong stakeholder management, prioritisation, and delivery ...

Associate Director, Data & Analytics to strengthen its global analytical capabilities. The Role You will lead and enhance data-driven insights, through data management, statistical analysis and modelling, data visualisation, data interpretation and communication to support regulatory advocacy, market intelligence and industry best practice. Key Responsibilities Develop and expand … data sources, tools, and analytical frameworks Using external sources and other relevant tools, manage, process and analyse data to produce high-quality statistical outputs and visualisations. Contribute to the development of modelling tools, including the application of advanced statistical techniques and machine learning methodologies. Provide data insights ...

working cross-functionally with Marketing and Product teams to turn insight into commercial impact. Responsibilities include Owning customer analytics projects such as segmentation, churn modelling, LTV, and lifecycle optimisation Designing and analysing A/B and multivariate tests to shape acquisition and retention strategies Using SQL and dashboarding tools … outputs into strategic recommendations and tell clear data stories Experience designing or analysing A/B testing and customer lifecycle analytics Python skills for statistical modelling or automation are an advantage This role offers a hybrid setup (typically two days per week in the London office), a base ...

technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics. Knowledge of advanced football metrics (possession value models highly desirable). A deep ...

passionate about using advanced data science to drive real-world impact in sport, this is the role for you. Key Responsibilities Develop and apply statistical models and algorithms to analyse player performance, match outcomes, and tactical insights Collect, clean, and process football-related data from diverse sources Build clear … experience as a Data Scientist , plus a strong academic foundation Python Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such ...

programming experience in Python (pandas, scikit-learn, XGBoost etc.) Solid SQL skills and experience working with large datasets Good understanding of machine learning and statistical modelling techniques HOW TO APPLY Please send your application below or reach ...

Deep Learning within commercial environments? You could be joining a specialist Hedge Fund and working on long term strategic projects which involve implementing quantitative statistical models that are used to forecast elements of demand and supply of energy for European markets. What ...

optimisation, while learning from experienced data professionals in a supportive, growth-oriented environment. 🔍 In this role, you’ll: 📈 Develop and support analytical and statistical models using Python 🛠 Work with real-world energy and environmental datasets, including data cleaning, validation, and feature engineering ☁️ Use AWS services to support data storage … years of experience in data analysis or data science (graduate roles, internships, placements, or academic projects welcome) 🐍 Strong Python experience for data analysis and modelling (pandas, NumPy, scikit-learn or similar) 🗄 Solid experience working with SQL and structured datasets ☁️ Hands-on experience using AWS (e.g. S3, RDS, Athena, Glue ...

more information on how we process your personal data, please refer to HCLTech’ s Candidate Data Privacy Notice. Responsible for performing general analytics and statistical modelling in a timely manner to address current and future business needs across various areas of the business. AI platforms, Agentic systems & Insights ...

learning, and the chance to make a difference. About the Role As a Data Scientist, you’ll work end-to-end across data pipelines, modelling, and insights — helping the business make smarter decisions every day. You’ll collaborate with product, engineering and senior stakeholders, with full support from … team. If you love solving problems, asking questions, and building useful things with data, this role is for you. Key Responsibilities ✅ Build predictive and statistical models using Python ✅ Develop end-to-end data pipelines and automated workflows ✅ Analyse behavioural, financial or operational datasets ✅ Create dashboards and visualisations ...

with the department's web reporting needs, maintaining and improving the web data structure, providing recommendations to management to improve marketing campaign performance. Running statistical analytics and predictive models to identify new areas to optimize or target; work closely with marketing management to measure our testing programme. ...

hands-on role for someone who enjoys technical depth, variety, and ownership, and who is comfortable applying the right techniques to each problem - from statistical analysis through to machine learning and deep learning models. You’ll join a small, high-calibre team that values autonomy, flexibility and technical excellence. … complex, ambiguous problem statements into clear, actionable data science solutions. Owning the full data science lifecycle, from data ingestion and feature engineering through to modelling, evaluation and deployment. Developing statistical, machine learning and deep learning models to support high-impact, real-world decision making. Working with large, structured ...

Deep Learning within commercial environments? You could be joining a specialist Hedge Fund and working on long term strategic projects which involve implementing quantitative statistical models that are used to forecast elements of demand and supply of energy for European markets click apply for full job details ...

commercial experience in SQL and data visualisation. * Experience delivering hands-on analytics in digital, content, or product-led environments. * Experience working with Python for statistical analysis or modelling is beneficial. * Demonstrated experience managing analysts, including coaching, development, and difficult conversations. * Ability to balance hands-on technical work with ...

deliver data science solutions in support of national security operations. Develop and optimise pipelines to process large, complex datasets. Apply machine learning and statistical methods to generate actionable insight. Produce clear visualisations to communicate results to stakeholders. Work within agile teams to deliver robust, scalable systems. Support cloud deployments … into live operational environments. Seeking Experience in most of the following: Python or similar scripting languages for data exploration and preparation. Machine learning and statistical methods, including model validation. Data analytics and visualisation techniques. Processing large datasets using batch or streaming tools such as Apache Spark. Data acquisition ...

complex data and ideas into language that makes sense for different audiences. Requirements: Collaborate closely with game teams to enable data-driven decisions Build statistical models to analyse user behavior, forecast outcomes, and automate workflows Own and refine game performance forecasts, ensuring accuracy and actionable insights Drive measurable improvements … Experienced in A/B testing and experimentation Strong technical skills in SQL, Python, and Excel Mobile games experience Bonus points: Build and deploy statistical and machine learning models Produce regular game performance forecasts to support FP&A planning Analyse marketing and performance marketing data to inform strategy Experience ...