1 to 25 of 57 Permanent Statistical Modelling Jobs in the South East

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 … 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 More ❯

to ensure data quality and consistency. Handle missing data, outliers, and inconsistencies in large datasets. Data Analysis and Modeling: Analyze extracted data using advanced statistical and machine learning models. Collaborate with data scientists to implement state-of-the-art models for predictive and prescriptive analytics. Financial Data Expertise: Leverage 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 ❯

frameworks such as TensorFlow, PyTorch, and scikit-learn Proven track record of developing predictive models for financial applications Deep understanding of machine learning algorithms, statistical modeling, and data processing techniques Experience with cloud computing platforms (AWS, GCP, Azure) Excellent understanding of distributed computing and big data technologies Technical Skills 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 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 ❯

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 ❯

reporting, and handling operational datasets; ability to adapt quickly to technical challenges. Proficiency in Excel, PowerQuery, SQL, and Power BI; experience with Python and statistical modeling is advantageous. Quick learner of new tools and technologies; familiarity with Azure Data Factory and building data pipelines is a plus. Confidence in 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 ❯

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. Mentor and guide other Data Science team members. Collaborate with a huge variety of More ❯

management. Proven experience in data analysis, reporting, and operational datasets; adaptable to technical challenges. Proficiency in Excel, PowerQuery, SQL, and Power BI; Python and statistical modeling experience is advantageous. Quick learner of new tools; familiarity with Azure Data Factory and data pipelines is a plus. Ability to present complex More ❯

AI/ML services (Azure ML, Databricks, etc.). Big Data & Cloud Platforms - Strong understanding of data architecture, cloud solutions, and real-time analytics. Statistical & Predictive Modelling - Deep knowledge of statistical methods, machine learning algorithms, and AI techniques relevant to large-scale operational environments. Data Visualisation & BI 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 ❯

pools, and blockchain-based trading environments. Strong programming skills in Python and/or C++ and data analytics (SQL, R). Advanced quantitative and statistical modelling abilities, with a solid grasp of financial mathematics and risk management. Operational leadership experience, ideally in building or scaling trading teams or More ❯

pools, and blockchain-based trading environments. Strong programming skills in Python and/or C++ and data analytics (SQL, R). Advanced quantitative and statistical modelling abilities, with a solid grasp of financial mathematics and risk management. Operational leadership experience, ideally in building or scaling trading teams or More ❯

pools, and blockchain-based trading environments. Strong programming skills in Python and/or C++ and data analytics (SQL, R). Advanced quantitative and statistical modelling abilities, with a solid grasp of financial mathematics and risk management. Operational leadership experience, ideally in building or scaling trading teams or More ❯

will play a key role in shaping and executing the company’s data strategy, enabling more efficient and effective client service. JOB Responsibilities: Perform statistical analysis and data modeling Clean, analyze, and interpret data from multiple sources Communicate insights to both technical and non-technical audiences Ensure data quality More ❯