25 of 25 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Hiring: 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 … 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 … 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 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 ❯

They are looking for a talented Pricing Data Scientist to join the dynamic team and drive innovation in motor insurance pricing. THE ROLE Develop and refine pricing models using statistical and machine learning techniques to improve underwriting accuracy and risk assessment. Analyse large data sets to identify trends, customer behaviours, and risk factors that impact pricing strategies. Implement data … pricing strategies. Continuously monitor and evaluate model performance, making data-backed improvements as needed. REQUIREMENTS Strong experience in data science, pricing analytics within insurance or fintech industries. Expertise in statistical modelling, machine learning, and data analysis techniques. Proficiency in programming languages such as Python, R, or SQL. HOW TO APPLY Please send CV below More ❯

code and architectural reviews, as well as technical mentoring. Data Science Enablement Act as Data Scientist to support analytics and decision-making needs. Develop experimentation frameworks, metric definitions, and statistical models. Help define the future structure, tools, and hiring profile for the Data Science function. Required Qualifications: Proven experience building and deploying GenAI applications in production. Strong hands-on … knowledge of LLMs, prompt engineering, and retrieval-augmented generation (RAG). Practical experience with traditional ML, including data pipelines and MLOps workflows. Working knowledge of statistical modelling and experimentation. Proficiency in Python and at least one additional general-purpose language. Strong understanding of cloud-native architectures (AWS preferred). Experience leading technical teams and mentoring engineers. Excellent stakeholder 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 ❯

contributions in the world of sports analytics. Key responsibilities for the role of Data Scientist include: Collect, clean, and process football-related data from various sources. Develop and implement statistical models and algorithms to analyze player performance and match outcomes. Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders. Collaborate with football … industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series … to non-technical stakeholders. Highly desirable skills include: Football Analytics Domain: Significant plus if experienced with football datasets (event, tracking, etc.) and visualization libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the Vertex AI lifecycle (especially Pipelines ) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling: Experience with probabilistic programming More ❯

Graduate Data Analyst – Financial & Legal Data Modelling £25,000–£35,000 + Bonus | Full-time | Central London (Office-based) Location: London (Zone 1 – near Charing Cross) Sector: Analytics | Commercial Disputes | Legal Data | Graduate Roles We’re working exclusively with a high-performing boutique analytics consultancy that supports legal teams in major commercial disputes. They’re now hiring a Graduate … profile cases. This is a unique opportunity for a numerically gifted graduate to launch their career in an intellectually stimulating and genuinely commercial role. Combining elements of data science, statistical modelling, and financial analytics. What you’ll be working on: Reviewing incomplete, inconsistent datasets and making assumptions to fill data gaps Preparing clear, auditable Excel-based reports to … support financial claims Writing compelling client-facing reports that communicate your analysis effectively Collaborating with external parties including law firms, suppliers, and data providers Using Excel, Word and statistical tools to deliver high-quality work under time pressure ✅ Ideal candidate profile: Recent graduate (or final-year student) with a 2:1 or above in a quantitative degree Strong academic More ❯

balances the discipline of high‐frequency trading with the entrepreneurial agility of a DeFi start-up. Key Responsibilities Design and develop predictive market‐making and directional execution models Apply statistical and machine learning techniques to extract short‐term signals (ms–minutes horizon) Lead research initiatives: back‐testing, signal refinement, parameter optimization for diverse products (spot, derivatives, ETPs) Analyse high … using Python (and C++ where required) Qualifications/Experience: Essential Bachelor’s or Master’s in Mathematics, Statistics, Computer Science, Physics, or related discipline Proficient in Python with strong statistical and probabilistic modelling skills Hands-on experience or theoretical knowledge in market structure and trading dynamics Market-Making QuantTrack : Experience building market‐making/HFT/MFT strategies More ❯

STEM or Economics from a leading university (Russell Group or international equivalent). 1–4 years’ experience in a finance, data science, or investment-related role. Strong mathematical and statistical modelling skills and a foundation in quantitative methods (e.g., volatility, correlation, Monte Carlo simulations, VaR). Python to at least intermediate level. A natural problem-solver with a More ❯

strategies. They are looking for a Quantitative Researcher with demonstrated experience conducting alpha research on cash equities. The ideal hire would have experience applying machine learning and/or statistical learning techniques to develop models to enhance the trading process. The fund prides itself on its high-quality data, robust infrastructure, and a collaborative culture. This would be an … and trading pipeline, including Risk and Factor Modelling. Requirements Advanced degree in a quantitative field such as Mathematics, Physics, Statistics, or Engineering. Demonstrated experience developing systematic cash equity/statistical arbitrage strategies. Experience with machine learning models and/or statistical learning models (e.g. LLMs, neural networks, Deep Learning models, etc.). Capacity to excel in a fast More ❯

Hybrid | Insurance Domain We're looking for a talented Data Scientist to join our client in London on a hybrid working basis. If you're a technical expert in statistical modelling and machine learning, passionate about turning complex data into actionable insights, this could be the perfect opportunity for you. Domain: Insurance Salary: £78,000 Start Date: Mid … refining predictive models ● Conducting NLP-based data extraction ● Deploying models using cloud-based platforms for scalability Key skills we're looking for: ● Strong Python expertise ● Hands-on experience with statistical modelling techniques ● Familiarity with AWS SageMaker, Databricks, and similar tools ● Proficiency in NLP techniques (e.g., text extraction, classification) ● Prior experience deploying predictive models in the insurance domain If More ❯

turn complex data into actionable insight, build models, and help shape the future of digital insurance trading. What You’ll Do Analyse internal and external data to support risk modelling, pricing, and performance tracking Develop data science solutions using Python and statistical techniques to support automation and optimisation Build dashboards and visual tools to surface insights and trends … and best practices in data science What We’re Looking For Solid experience in data science, ideally within insurance or financial services Strong programming skills (Python preferred) Experience in statistical modelling, data wrangling, and analysis Familiarity with Azure tools (e.g. Data Factory, SQL, Synapse, Power BI) is a plus Effective communicator with the ability to work across technical More ❯

the quality of insights depends on the quality of the data. 10. You understand that models are only as good as their assumptions. You can critically assess epidemiological and statistical models, ensuring biases and confounders are accounted for. You’re comfortable with methodologies like propensity score matching, inverse probability weighting, and instrumental variable approaches. 11. You don’t just … and limitations of each data source. 14. You know when a real-world study is the answer—and when it’s not. You can identify when another approach (e.g., modelling, meta-analysis, or a new trial) is needed. 15. You believe in impact, not just publications. Publishing is great, and you’ve done it—but what excites you is More ❯

a quantitative research role, ideally in macro or multi-asset systematic trading. Technical Skills: Strong programming skills in Python required (C Java a plus); experience with backtesting frameworks and statistical modeling. Markets Knowledge: Exposure to macro asset classes (e.g., FX, fixed income, equity indices, commodities) and experience working with futures or swaps preferred. Opportunities available in Hong Kong, Singapore More ❯