14 of 14 Statistical Modelling Jobs in the Thames Valley

the opportunity of working in a growing team, and who loves sport. Responsibilities: Lead data science workstreams on client projects, managing analysts and collaborating with consultants Develop and deploy statistical models and core IP Build reusable tools to streamline analysis and visualisation Communicate insights clearly to all audiences Mentor junior team members and support capability growth Work with engineers More ❯

growing, with excellent visibility across the business and a genuine appetite for data innovation. Key Responsibilities Optimise existing yield and matching models for better consistency and forecasting performance. Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements. Build and deploy scalable data science solutions that drive measurable business impact. Collaborate with developers and commercial … and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with cross-functional teams. Please Note: Unfortunately, this role More ❯

projects, collaborating closely with range of clients and stakeholders across the business, advising on best analytical approaches to guide your clients’ decisions. With strong data analysis, machine learning and statistical modelling expertise you will lead projects across multiple sectors including technology, financial services, public sector, retail, utilities and more. You will be able to showcase your expertise in … modelling market research survey data, multivariate statistics, segmentation, conjoint analysis and behavioural analysis. Utilising your strong communication skills, you will also play a central role in coaching and training other talented team members and lead innovative analytical initiatives. You will bring experience working in data science/statistics from a market research or media agency, and be an expert More ❯

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 to ensure scalable, production-grade solutions Conduct rigorous A/B testing and performance measurement to validate impact Act … measurable impact, not just model 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’s degree in a quantitative More ❯

career the that of a 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 More ❯

understanding, working with advanced AI technologies to create impactful data driven applications. Responsibilities Partner with enterprise clients to understand requirements and design tailored AI and data science solutions Apply statistical modelling, machine learning, and programming expertise to solve complex problems Explore and implement modern AI technologies including large language models, retrieval augmented generation, and advanced automation tools Deliver More ❯

development of new offerings, and deepen our understanding of marketplace dynamics. This role involves advanced data mining and analytics, robust product and data validation, and the development of sophisticated statistical and machine learning-based methodologies. The ideal candidate will have a strong ability to independently research, develop, and maintain high-impact solutions that align Cint’s capabilities with market … and existing products, as well as to understand, analyze, explain, and predict the impact of platform algorithms on clients and partners. Define, establish, and drive the development of advanced statistical and machine learning methods, setting modeling standards and best practices. Conduct exploratory analyses to deepen insights into key metrics and trends, and lead the design and execution of A … equivalent) in Statistics, Quantitative Sciences, Data Science, Operations Research, or a related quantitative field. Strong ability to manipulate, analyze, and interpret large, complex datasets independently. Deep understanding of advanced statistical techniques and concepts (e.g., properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, including multivariate testing, regression/predictive modeling, causal inference More ❯

model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statistical analysis on model performance across various benchmarks and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing user … to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to drive innovation. Your analytical rigor will be critical to advancing Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of experience … Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large-scale More ❯

complex ideas to both technical and non-technical stakeholders. Technical Prowess: You have a strong command of quantitative trading principles and are proficient with relevant technologies. Deep knowledge of statistical modelling, machine learning techniques, and time series analysis. Hands-on experience with back-testing frameworks and simulation environments. A strong understanding of various market data APIs, trading protocols More ❯

alongside our Data Science and Analytics teams and collaborate with product and engineering teams to work on Identity and Data Solutions products. This includes vendor analysis and onboarding, establishing statistical methodology and modeling standards and development. The ideal candidate is a self-starter comfortable working with large datasets and knowledgeable in statistical and machine learning techniques, with an … discovery phase for new and existing products/models. The primary areas include Identity and Data Solutions. Actively participate in the development and enhancement of our Identity Graph, utilizing statistical and machine learning techniques to improve accuracy. Drive the onboarding and validation of new data vendors, by establishing statistical methodologies and conducting comprehensive analysis to ensure new data … performing analyses and producing summary results. Collaborate with cross-functional teams to deliver on broader project goals. Participate in developing methodologies, model validation, and maintenance and enhancement of existing statistical and machine learning models. Support evaluation and validation of both internal and external products to ensure Cint’s success. Communicate insights and recommendations through visualizations and presentations that will More ❯

and saying "I created that" - thing visible to a global audience? This is an opportunity to join just that and more. The opportunity would have you delivering products and statistical models for some of the top football leagues and individual players across the globe. About you: Strong background in Scala development as a senior developer - working in fast paced More ❯

Business Intelligence Design, develop, and maintain dashboards and self-service reports to empower procurement teams with actionable insights. Manage data from multiple systems, ensuring integrity, consistency, and accessibility. Provide statistical analysis, modelling, and KPI reporting (weekly, monthly, and quarterly) to support decision-making. Drive the development of a data warehouse and ensure it remains accurate and up to More ❯

time. Key Responsibilities: Design, research, and implement systematic trading strategies across global equities, futures, FX, or other liquid asset classes Conduct high-quality alpha signal research using alternative data, statistical techniques, and machine learning when appropriate Develop and test robust portfolio construction, execution, and risk management models Collaborate closely with data engineering and infrastructure teams to enhance research platform … research or trading at a hedge fund, proprietary trading firm, or top-tier investment bank Proven track record of alpha generation or contribution to profitable strategies Deep understanding of statistical modeling, time-series analysis, and/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or More ❯

ll Do Lead data science projects focused on pricing optimisation and revenue management. Manage and mentor a small international team of data scientists (UK and US based). Build statistical and machine learning models to enhance customer value and business outcomes. Develop and run rigorous experimentation frameworks (A/B, MAB, causal inference). Work cross-functionally with engineering … on pricing and revenue optimisation. Proven leadership in growing and mentoring data teams. Strong Python and SQL skills, with experience in cloud platforms such as Google Cloud. Expertise in statistical techniques such as GLMs, classification, survival models, forecasting, and optimisation. Hands-on experience with experimentation and causal inference. Strong MLOps knowledge and experience deploying models into production environments using More ❯