1 to 25 of 49 Statistical Modelling Jobs in the South East

/MMM capability across brands and markets ✅ Build and refine incremental testing tools for marketing measurement ✅ Mentor and develop analysts in MMM techniques and statistical modelling ✅ Work closely with Data, Martech, and Marketing teams to automate and scale data-driven insights ✅ Present findings across all levels—including C … agency or client-side) ✔ Strong knowledge of SQL, Python/R , and data visualization tools ( Tableau, Power BI, Looker ) ✔ Commercial experience in econometrics and statistical modelling for marketing analytics ✔ Ability to translate complex data into actionable business insights ✔ Passion for sports, marketing, and technology 🎯 What’s in It More ❯

with proficiency in data science libraries (NumPy, Pandas, scikit-learn) Experience with SQL for data querying and analysis Solid understanding of machine learning algorithms, statistical methods, and predictive modeling Experience with NLP techniques for text analysis, classification, and information extraction Knowledge of deep learning frameworks such as PyTorch or More ❯

in Data Science, Statistics, Mathematics, or a related field. Experience 2+ years of experience in data science or analytics. Proven expertise in machine learning, statistical analysis, and predictive modeling. Experience designing experiments and modeling solutions for business problems. Preferred Qualifications Proficiency in Python or R (R knowledge is a More ❯

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 … 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 … 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 More ❯

equivalent experience) in Computer Science, Data Science, Mathematics, or a technical field. Proficiency in Python (or R), with hands-on experience in ML and statistical modeling. End-to-end experience with MLOps , from experimentation to deployment and monitoring. Strong grasp of ethical AI practices: model explainability, transparency, bias mitigation. More ❯

roles, ideally within Lloyd’s or the wider insurance industry. Strong leadership capabilities with experience managing teams and engaging senior stakeholders. Deep understanding of statistical modelling, machine learning, and data science frameworks. Expert-level proficiency in Python; familiarity with version control and collaborative development workflows. Experience with Azure More ❯

or equivalent and advanced degree. Strong knowledge of statistics, machine learning, forecasting, NLP, computer vision, optimisation. Python programmer with experience building data pipelines and statistical/machine learning models. Additional languages preferred, particularly HTML+CSS+JavaScript, or low-level compiled languages such as C/C++. Proficiency in SQL. Ability to More ❯

or related field. Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience with bioinformatics tools (e.g., Biopython, RDKit). Strong knowledge of statistical models, deep learning, and data preprocessing. Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker). Strong problem-solving and communication skills. Desirable More ❯

or quantitative research, ideally within a trading or investment environment. Strong programming proficiency in Python, R, MATLAB, or similar languages, with demonstrated experience in statistical analysis and model development. Familiarity with risk metrics and methodologies including Value at Risk (VaR), Conditional VaR, and volatility estimation. Experience with stress-testing More ❯

large image datasets Knowledge of modern data warehousing and data lake technologies Practical experience with Python, R, and ML frameworks (PyTorch and Tensorflow) and statistical methods Linux system administration AWS and GCP administration Experience with GPU cluster and Linux server administration Desirable PhD in medical image analysis Working knowledge … of the DICOM standard, volume reconstruction, 3D rendering techniques, statistical modelling Experience with AI model training pipelines and architectures (transformers, diffusion models etc) Understanding of fundamental statistical concepts (p-values, effect sizes and confidence intervals) Experience with MLOps methodologies Experience with version control (e.g. GitLab, DVC) Experience More ❯

We’re Looking For 3–4+ 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 More ❯

and expertise include: Recommendation Systems, Segmentations, Forecasting, Casual AI, MMM (Media Mix Modeling), NLP, Computer Vision, LLMs, RAG, etc. Responsibilities Build and deploy effective statistical and machine learning models. Advise on proper Model Deployment infrastructure. Collaborate with a huge variety of stakeholders Requirements An MSc/PhD in Computer More ❯

and expertise include: Recommendation Systems, Segmentations, Forecasting, Casual AI, MMM (Media Mix Modeling), NLP, Computer Vision, LLMs, RAG, etc. Responsibilities Build and deploy effective statistical and machine learning models. Advise on proper Model Deployment infrastructure. Collaborate with a huge variety of stakeholders Requirements An MSc/PhD in Computer More ❯

years in data science or a related field, or a Master’s degree. Strong Python programming (essential), SQL, and linear regression/statistical modeling. Experience with web scraping, machine learning, or dashboarding is a plus. A background in finance or exposure to financial data is advantageous but not required. More ❯

Develop quantitative tools in close collaboration with researchers and engineers, including data pipelines for testing and integrating new data sources. Apply machine learning and statistical modeling techniques to solve problems in Agriculture, Metals, and Power markets. Monitor and improve existing research and trading infrastructure, identifying opportunities for performance, usability More ❯

standards for excellence. Reporting directly to the Director of Data, you will oversee the execution of high-impact projects, covering areas such as predictive modelling, customer lifetime value and segmentation, bidding optimisation, and advanced experimentation. You will act as a data lead for key clients, taking responsibility for technical … related projects are delivered effectively and drive meaningful results. About you: You are an experienced data scientist with a strong background in machine learning, statistical modelling, and optimisation techniques. You thrive in fast-paced environments and have a proven track record of delivering data-driven solutions that create … marketing analytics, including platforms like Google Ads, Meta Ads, and Google Analytics. Have worked on projects such as: Customer Lifetime Value (CLV) modelling. Propensity modelling and lead scoring. Budget allocation and bidding optimisation. Experimentation frameworks, A/B testing, causal inference, and Marketing Mix Modelling (MMM). Advanced More ❯

teams to enhance CRM strategies and generate actionable customer profiles to improve engagement and loyalty. Requirements 1-2 years of experience in data analysis, statistical modeling, and machine learning. Proficiency with Python, and preferably Dataiku or similar platforms; with strong skills in R, or SQL. Excellent communication skills, able More ❯

Analyst required by highly technical sports trading firm based in central London. The company have been established for more than 10 years, successfully developing statistical models for in-house services and identifying opportunities for investment. The successful Quantitative Analyst will work within a well established Quant team analysing very More ❯

implementing quantitative trading strategies with a focus on cash equity markets. You will work closely with Portfolio Managers and quantitative traders, leveraging advanced algorithms, statistical models, and market data analysis to build and refine strategies deployed in production environments. Key Responsibilities: Develop and implement quantitative models and algorithms that More ❯

development, testing, deployment, and vigilant monitoring. Experience creating and delivering Cloud ML solutions at scale using Docker and Kubernetes. A deep understanding of advanced statistical modeling and analysis. Expertise in Python and the tools and libraries that make ML magic happen. Familiarity with ML experiment tracking and collaboration tools More ❯

months ending December 2024 totaled $13.8 billion. We're looking for an experienced Technical Data Analyst with 10+ years of experience in data analysis, statistical modeling, and data visualization. The ideal candidate will have a strong background in data analysis, including data mining, predictive analytics, and data visualization. The … Technical Data Analyst will be responsible for analyzing and interpreting complex data sets, developing statistical models, and creating data visualizations to inform business decisions. Key Responsibilities: 1. *Data Analysis*: Analyze and interpret complex data sets, including data mining, predictive analytics, and data visualization. 2. *Statistical Modeling*: Develop and … maintain statistical models, including regression analysis, time series analysis, and machine learning algorithms. 3. *Data Visualization*: Create data visualizations, including reports, dashboards, and interactive visualizations. 4. *STTM*: Develop and maintain STTM solutions, including data integration, data quality, and data governance. 5. *Collaboration*: Collaborate with cross-functional teams, including business More ❯

coding skills such as C++, Python and Java Hands-on experience with High Frequency Trading (HFT) and designing ultra-low-latency systems Proficiency in statistical modelling, time series analysis, and machine learning techniques Strong communication abilities in explaining your methodologies This is an amazing opportunity to join a More ❯

of experience in crypto asset settlements and a strong track record of consistent PnL generation. Strong background in risk management and execution algorithms and statistical arbitrage. Proficient in Python or R for quantitative analysis and strategy execution. Extensive expertise in mathematics and statistics, with a particular focus on statistical modelling and signal generation. We’d love to hear from you! Reach out to owatson@algocapitalgroup.com to discuss this opportunity further. More ❯

You'll work cross-functionally with marketing and brand teams to deliver strategic insights that drive value and support trade and brand targets. From statistical modelling to process optimisation, you’ll be a go-to expert for uncovering opportunities and delivering business impact. Key responsibilities include: Leading and … with strong technical and leadership credentials Proficiency in tools such as Python , SQL , and/or R Proven experience delivering advanced analytical projects and modelling techniques Ability to turn complex insights into compelling stories that influence non-technical stakeholders Strong project management skills, from scoping through to delivery A More ❯

This is an opportunity for to join one of London’s most exciting FinTech’s! They are a rapidly growing company that are developing statistical models and analytic tools for sports. There isn’t a better time to join their world class team of engineers. They are looking for More ❯