1 to 25 of 34 Statistical Modelling Jobs in London

/day Inside IR35 6-Month Contract Hybrid - One day in office per week - Central London Requirements: - SQL and product analytics expert - Python for statistical modelling & data cleaning - A/B testing & experimentation design experience - Looker or Tableau - Understanding of ETL/data flows (GCP/AWS/… support to evaluate product performance. Define, track, and report on key product KPIs to measure product health and the impact of new releases. Experimentation & Statistical Analysis Design, implement, and analyse experiments across features and user journeys. Formulate hypotheses, select appropriate statistical techniques, and clearly communicate findings and recommendations ...

Applied Mathematics, Computer Science, Engineering) Experience using Python is a must Experience of data visualisation tools (e.g. Tableau, Power BI) A strong knowledge of statistical/machine learning models applied to real-world problems A keen interest in problem-solving and using data, analytics and AI to solve investment ...

implement machine learning algorithms and models. Proficiency in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow). Strong data analysis, statistical modelling, and experimentation skills. Experience with data visualisation tools and techniques. Proficiency in programming languages such as Python, R, or similar. Knowledge of data ...

with Microsoft Fabric data agents, Copilot experiences, and other AI-driven capabilities. This role requires expertise in Power BI report design, data modelling, and DAX, along with the ability to analyse structured and unstructured data using Microsoft Fabric and related technologies. The analyst will work closely with internal business … using Power BI and Microsoft Fabric analytics tools. Write DAX calculations for KPIs, time intelligence, advanced metrics, and custom business logic. Conduct exploratory and statistical analysis on structured and unstructured datasets to identify trends, patterns, and opportunities. Partner with Data Engineers to ensure Bronze and Silver layers are well ...

Intervention analysis Counterfactual estimation Mathematical optimisation Scenario simulation Key Responsibilities for the Senior Data Scientist - Net Revenue Management/Revenue Growth Management. Data Science & Modelling Develop, evolve, and enhance data science models across multiple business areas. Lead a team of data scientists across several workstreams using rule-based methods … syndicated data to generate insights relating to trade promotions, pricing, distribution, and digital shelving-particularly in joint business planning environments. Design and execute statistical models and multi-variate tests to measure the impact of business decisions and market variations. Teamwork & Leadership Foster a highly collaborative team culture built ...

Learning, Statistics, Applied Mathematics, Computer Science, Engineering, etc. Experience using Python is a must Knowledge of cloud technologies important (agnostic) A strong knowledge of statistical/machine learning models applied to real-world problems A keen interest in problem-solving and using scalable machine learning to solve data-related ...

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 Conduct rigorous A/B testing and performance measurement … accuracy. Requirements: 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 ...

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 ...

datasets within a government or regulatory environment. Skills in Power BI and relational databases to build automated BI solutions. Communication: Ability to translate complex statistical models into plain language for non-technical senior stakeholders. Academic Background: Degree in Statistics, Mathematics, or Data Science (or equivalent proven analytical experience). ...

visualisation tools Knowledge of data governance, security, and compliance principles Skills & Abilities Essential Python and/or R SQL Data wrangling, cleaning, and preparation Statistical analysis and modelling Machine learning frameworks and optimisation techniques Desirable Cloud-based data and analytics services Data visualisation tools Machine learning platforms Version ...

role you must have the following essential skills & experience: Key Skills & Experience Model development: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply … them to enhance predictions, automate decision-making processes, and improve client offerings. Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement ...

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 or personal projects related to football data. Knowledge of advanced football metrics (possession ...

analytics consultancy is looking for a Director of Measurement to join its senior leadership team. The business specialises in advanced marketing analytics and predictive modelling, helping organisations make better commercial decisions through rigorous measurement and insight. This is a senior, hands-on leadership role for someone … strategic innovation. Client & Commercial Leadership Lead multiple senior client relationships across a range of industries Own and deliver high-value marketing evaluation and predictive modelling programmes Lead pitches and proposals, with responsibility for significant annual revenue targets Translate complex analytical outputs into clear, compelling narratives for senior stakeholders Delivery ...

maintain customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure data … based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. ...

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 ...

strong software design skills Proven experience building cloud-based platforms e.g. Azure Strong background in containerised environments using Docker and Kubernetes Excellent understanding of statistical modelling, machine learning theory, and data-driven decision making Experience leading technical projects and mentoring engineers Comfortable working in fast-moving, client-facing ...

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 ...

build systems that generate accurate scores alongside clear, actionable feedback for learners and educators. There's a strong focus on quality, fairness, auditability, and statistical rigour in model evaluation. You should want to work here if you're motivated by meaningful AI problems, real-world impact, and technical ownership. ...

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 ...

Hours: 37.5/week An established organisation is seeking a Data Scientist to join a forward-thinking data function focused on advanced analytics predictive modelling plus data-driven decision support. This role offers the opportunity to work on complex high-value problems using modern data science tooling within … comfortable working across the full lifecycle from data exploration through to model development validation plus deployment support. Responsibilities for the Data Scientist: Develop statistical models machine learning solutions analytical frameworks to address complex business problems Explore large structured semi-structured datasets to identify patterns trends predictive signals Build test ...

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 ...