1 to 25 of 53 Statistical Modelling Jobs in the South East

working in a growing team, and who loves sport. What you’ll do: 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 ❯

similar analytics role (gaming, betting, or consumer apps is a big plus) Strong skills in SQL, Python or R, and data visualisation tools (e.g., Tableau, Power BI) Experience with statistical analysis, predictive modelling, and segmentation techniques Understanding of user behaviour analytics, retention metrics, and A/B testing Bonus: Experience with fraud detection or risk analytics Strong attention More ❯

and how they operate Extensive experience designing, developing and maintaining pipelines and tools to measure real-time engineering operations and processes Strong analytical and problem-solving skills in performing statistical analysis, data modeling, and predictive analytics. Professional experience in modern C++, including the STL and common testing frameworks Fluency in Python for software development Ability to develop high-quality More ❯

out more about us by visiting our website at: http://www.hartreepartners.com/ROLE OVERVIEW: Hartree Partners is growing its data-driven analytics team and is hiring a Statistical Data Scientist to sharpen our view of weather-driven risk and support wider supply-and-demand modelling for power & gas trading. You will play a pivotal role in … shaping our data strategy and driving the development of our modelling approaches. You will collaborate with cross-functional teams to design, implement, and optimize data pipelines and predictive models that inform trading decisions and enhance operational efficiency. RESPONSIBILITIES: Primary Focus: Probabilistic Weather Modelling: Research and prototype probabilistic methods (Bayesian inference, state-space filtering, change-detection tests, etc.) that … based on real-time data and feedback from trading activities. Model Communication: Explain uncertainty clearly, turning numbers into concise narratives and action-oriented alerts Broader Contributions: Build and refine statistical/ML models for short- to medium-term demand, renewables output, and other fundamental time series. Help design feature pipelines, scenario tools and model-performance dashboards used daily by More ❯

in a clear and concise manner. Requirements: • Master's or PhD degree in a quantitative field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong More ❯

ML frameworks/libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong grasp of LLMs, GenAI, and AI system architectures. Experienced with large-scale datasets and preprocessing pipelines. Skilled in statistical modelling and data visualization tools (e.g., Tableau, Seaborn, Matplotlib). Able to independently lead complex projects from design to deployment. Desirable: Experience with big data tools (Hadoop, Spark More ❯

to deliver value-adding projects. Foster team growth and prepare members for career advancement. Analyse company performance metrics to guide and interpret models. Shape the R&D strategy and modelling roadmap. Assist in acquiring vendor data and develop arguments. Provide expert mentorship for ongoing and new pricing activities. Design experiments and multivariate testing for AI evaluation. Assess machine learning … solutions for feasibility and operationalize successful prototypes with Data Engineers. Use statistical techniques to optimise business performance. Develop and maintain algorithms to improve customer value and services. Deliver data science projects that drive business benefits and competitive advantage. Conduct ad-hoc analysis to predict, measure, and interpret business trends. Mentor data scientists and champion standard processes within the analytics … years as a Data Scientist in commercial or R&D environments. PhD or MSc or equivalent experience in a relevant field (Machine Learning, Computer Science, Statistics). Experience applying statistical and machine learning models to real-world problems with measurable results. Leadership experience within a high-performing team, including mentorship and management readiness. Proven track record to take research More ❯

to deliver value-adding projects. Foster team growth and prepare members for career advancement. Analyse company performance metrics to guide and interpret models. Shape the R&D strategy and modelling roadmap. Assist in acquiring vendor data and develop arguments. Provide expert mentorship for ongoing and new pricing activities. Design experiments and multivariate testing for AI evaluation. Assess machine learning … solutions for feasibility and operationalize successful prototypes with Data Engineers. Use statistical techniques to optimise business performance. Develop and maintain algorithms to improve customer value and services. Deliver data science projects that drive business benefits and competitive advantage. Conduct ad-hoc analysis to predict, measure, and interpret business trends. Mentor data scientists and champion standard processes within the analytics … years as a Data Scientist in commercial or R&D environments. PhD or MSc or equivalent experience in a relevant field (Machine Learning, Computer Science, Statistics). Experience applying statistical and machine learning models to real-world problems with measurable results. Leadership experience within a high-performing team, including mentorship and management readiness. Proven track record to take research More ❯

and 3rd party panels to test fast-evolving hypotheses. Design and automate reporting processes , bringing visibility to crucial metrics and freeing teams to act on what matters most. Build statistical models and algorithms to detect patterns and opportunities for optimisation. Create compelling data visualisations using Grafana and Power BI to track performance in real time. Communicate complex analytical findings … across the business. YOUR SKILLS AND EXPERIENCE: The ideal Senior Data Analyst will have: Proficiency in Python or R , with hands-on experience building analytical models. Strong knowledge of statistical techniques , from regressions to machine learning algorithms. Excellent SQL and data manipulation skills , with experience working on large, complex datasets. Familiarity with cloud data platforms such as AWS, Azure More ❯

in acquiring vendor data and develop arguments. Design experiments and multivariate testing for AI evaluation. Assess machine learning solutions for feasibility and operationalize successful prototypes with Data Engineers. Use statistical techniques to optimise business performance. Deliver data science projects that drive business benefits and competitive advantage. Conduct ad-hoc analysis to predict, measure, and interpret business trends. Mentor data … years as a Data Scientist in commercial or R&D environments. PhD or MSc or equivalent experience in a relevant field (Machine Learning, Computer Science, Statistics). Experience applying statistical and machine learning models to real-world problems with measurable results. Strong Python toolkit proficiency for Data Science, with experience in SQL and NoSQL databases. Project management experience with More ❯

in a clear and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong More ❯

which has not previously been obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate … learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media … landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical stakeholders. Business Acumen: Understanding of business objectives and ability to translate data insights into actionable strategies. Additional Skills: Build and maintain complex MMM models to assess the incremental impact of different media channels (TV, digital, print) on More ❯

keeping abreast of upcoming change, or areas for improvement Grow the impact of Data Science across the Group, increase the number of deployed solutions, identify previously unexplored areas of modelling or analysis Role model best practice, with focuses on efficiency and long term success Monitor the latest techniques and solutions being utilised in the wider industry Maintain departmental risk … and guidelines and other relevant standards/regulations at all times. Any other reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical models (eg GBMs, GLMs, clustering techniques … change framework Strong technical leader, able to recruit and develop a strong team Good communication skills, both verbal and written Good time management and organisation skills Proven analytical and statistical modelling skills Degree in Data Science or other quantitative field Behaviours Self-motivated and enthusiastic with the desire to meet or exceed targets Determined and passionate, particularly regarding More ❯

Company Overview: My client is a leading quantitative trading and investment firm that researches, develops, and deploys algorithmic trading strategies across global markets. Their team leverages advanced mathematical models, statistical techniques, and cutting-edge technology to trade across all asset classes on multiple exchanges worldwide. Role Overview: They are seeking a highly analytical and driven Commodity Trader to join … or algorithmic environment. Strong programming skills in Python, C++, or similar languages used in quantitative research. Deep understanding of commodity markets, including futures, options, and spot trading. Experience with statistical modelling, machine learning, or signal processing techniques. Familiarity with market microstructure and electronic trading platforms. More ❯

emerging digital trends in social care. What Were Looking For 34+ years' experience in data analysis, preferably with exposure to health or social care environments. Proven ability to conduct statistical modelling, indicator development and create powerful visualisations. Experience handling large, complex datasets (structured and unstructured) using tools like Power BI, SQL, R, Python or Tableau. Comfortable using qualitative More ❯

technical methods in plain English Great attention and care for detail Self-starter attitude: proactive, resourceful, and eager to learn new technologies Future Focus Exposure to machine learning or statistical modelling libraries Familiarity with the Greenhouse Gas Protocol and basic carbon-accounting principles What We Offer Starting salary £30 – 35k, with opportunity for role progression We’re a 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 ❯

Posted: 06.06.2025 Expiry Date: 21.07.2025 col-wide Job Description: GEOSPATIAL DATA SCIENTIST ROLE (Junior & Senior) Overview: BirdsEyeView is an InsurTech venture based in London. BirdsEyeView builds Natural Catastrophe Modelling software for reinsurance and insurers globally. The software enables specialty insurers to model future floods, wildfires, tropical cyclones, and more. The BirdsEyeView technology ecosystem includes a massive climate data infrastructure … and 2+ years experience for Jnr/Mid role. Strong proficiency in Python for data manipulation and machine learning. Experience working with large and complex geospatial datasets. Knowledge of statistical and data science modelling techniques Understanding of web systems architecture, design, and development. Ability to work autonomously with excellent time, budget, and project management skills. A hands-on More ❯

understanding complex business challenges, designing scientific solutions, working large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or statistical modelling techniques to derive insights Work collaboratively with data scientists, data engineers and other technical people including pricing teams in order to help support maturation of analytics practice … control and other IT delivery tools is required Understanding/identifying opportunity to apply machine learning knowledge to solve business problems Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target audience Exceptional written communications skills and effective presentation skills Willingness to learn More ❯

ll work within our Advanced Analytics and Data & Insight team, analyising diverse data sources, extracting valuable insights, and contribute to business decisions that enhance the Toyota customer experience. From statistical modeling to data visualisation, you’ll develop cutting-edge analytical skills, be part of a passionate team and play a key role in shaping Toyota’s data-driven future. … data sources, gaining a deep understanding of their relationships and characteristics. You’ll prepare, transform, and load data into our data analytics platform, enabling in-depth multi-source analysis, modelling and forecasting and generating usable insights with engaging visualisation techniques that drive business decisions and enhance the Toyota customer experience. To thrive in this role, you’ll need a More ❯

may include: Using data analytics and modeling to assess marketing impact and optimize revenue, margins, and costs. Evaluating promotional activities, advertising campaigns, and sales strategies through data analysis and statistical modeling. Analyzing pricing data with industry standards and competitive insights. You will use various data visualization tools, programming languages, and cloud technologies daily, depending on client needs. What's … approximately 4+ years of relevant experience, though applications are reviewed case-by-case. Valuable experiences include: Analysis and measurement of product and promotion performance. Marketing campaign measurement and optimization. Statistical modeling such as regression, price elasticity, and advanced machine learning. Customer insight analysis, ROI optimization, and product analytics. Additional requirements: A degree in mathematics, STEM, or a supply chain More ❯

analysts—promoting best practices in data preparation, analysis, and communication. Proficiency in tools such as Power BI , Alteryx , and R/Python is essential, along with strong skills in statistical modelling. Effective communication and data storytelling are critical to engaging stakeholders, influencing decisions, and driving change. You will also be involved in working collaboratively with other teams—such as … such as Alteryx, Power BI or similar such as Tableau and other modern visualisation platforms Experience in coding and querying languages such as Python or R Strong grasp of statistical methods, hypothesis testing, regression and forecasting Experimental design and causal inference What Do We Offer? 25 days annual leave+ Bank Holidays. Health cash plan cover (with options to upgrade More ❯

Social network you want to login/join with: Marketing Mixed Modelling Data Scientist, slough col-narrow-left Client: Lorien Location: slough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 2 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Data Scientist with PyMc & Marketing Mixed Modelling experience 6 Months Contract … to set up via an Umbrella Company/PAYE. This Senior Data scientist required to work with our clients Data Science team to drive Marketing Effectiveness using Marketing Mix Modelling, Multi-Touch Attribution, and other models. Responsibilities: Oversee and be responsible for data collection including data extraction and manipulation, data analysis and validation. Analyse all datasets to ensure that … Requirements: Proven experience in developing and implementing Marketing Mix Models Be an expert in PyMc, Python and familiar with R programming for MMM Models Have in depth understanding of statistical modelling/ML techniques Experience with Regression based models applied to the context of MMM modelling Solid experience with Probabilistic Programming and Bayesian Methods Be an expert More ❯

Econometric Modelling Lead (Marketing Mix Modelling) London (Hybrid) | Data Science & Analytics | Permanent, Full-Time £45,000-£55,000 Are you ready to take the lead in cutting-edge marketing measurement? Join a highly respected and award-winning analytics team as a Lead Econometrician. We're seeking a talented individual with at least 2 years of hands-on experience … in marketing mix modelling who’s ready to step into a leadership role—owning client relationships, leading delivery, and pushing innovation in media measurement. This is a rare opportunity to be part of a collaborative and data-driven environment where you’ll work alongside talented analysts, data scientists, and engineers across a global network. What You'll Do: Lead … of MMM projects from briefing to presentation, ensuring actionable insights. Confidently present complex analysis to clients and internal stakeholders. Use your coding knowledge to streamline processes and develop new modelling solutions. Manage stakeholder relationships and act as the primary point of contact for key clients. Collaborate with internal Centres of Excellence to deliver best-in-class econometrics. Play a More ❯

Quantitative Developers – Sports Modelling | London | £70k-£130k + Bonus A high-performing, close-knit team of researchers and software developers is looking to add Mid-Level and Senior Quantitative Developers 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 … 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/PhD in a quantitative … Stats, Physics, Computer Science) Strong experience working with real-world data Proficiency in Python/R (mandatory); MATLAB, and C# are a plus Deep understanding of probability, statistics, and modelling Experience in a Quant role Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and real More ❯