26 to 39 of 39 Statistical Modelling Jobs in the South East

Vertex AI (or equivalent cloud ML platforms). Solid software engineering fundamentals: APIs, Docker, CI/CD, and Git. Strong understanding of deep learning, statistical modelling, and optimisation techniques. Nice to Have Experience with agentic design patterns (e.g. ReAct, Chain-of-Thought, tool use). Familiarity with ...

Vertex AI (or equivalent cloud ML platforms). Solid software engineering fundamentals: APIs, Docker, CI/CD, and Git. Strong understanding of deep learning, statistical modelling, and optimisation techniques. Nice to Have Experience with agentic design patterns (e.g. ReAct, Chain-of-Thought, tool use). Familiarity with ...

Vertex AI (or equivalent cloud ML platforms). Solid software engineering fundamentals: APIs, Docker, CI/CD, and Git. Strong understanding of deep learning, statistical modelling, and optimisation techniques. Nice to Have Experience with agentic design patterns (e.g. ReAct, Chain-of-Thought, tool use). Familiarity with ...

Vertex AI (or equivalent cloud ML platforms). Solid software engineering fundamentals: APIs, Docker, CI/CD, and Git. Strong understanding of deep learning, statistical modelling, and optimisation techniques. Nice to Have Experience with agentic design patterns (e.g. ReAct, Chain-of-Thought, tool use). Familiarity with ...

proficiency in SQL for querying, aggregating, and analyzing large datasets. Strong programming skills in Python (including libraries like Pandas, NumPy) for data manipulation and statistical analysis. Proven experience working with and processing large-scale, complex datasets stored in Hadoop or similar distributed file systems/data lakes. Demonstrable experience … Money Laundering (AML), or Sanctions compliance data analysis. Familiarity with cloud data warehousing solutions (e.g., Snowflake, Google BigQuery, AWS Redshift). Experience with advanced statistical modeling or machine learning techniques applied to financial data. About Barclays Barclays is a British universal bank, diversified by business, by customer type ...

influence strategic decision-making across the company. Key Responsibilities: Lead the design and implementation of complex predictive and optimization models using classical ML/statistical methods, deep learning architectures, and generative techniques. Drive innovation in Large Language Models (LLMs), Generative AI, and Agentic AI—pioneering new applications such … data scientists or leading end-to-end ML projects independently. Technical Skills: Expertise in supervised/unsupervised learning, deep learning (CNNs, RNNs, transformers), and statistical modeling. Strong foundation in scenario modeling, optimization, and evaluation metrics for performance and fairness. Proficiency in Python (pandas, NumPy, scikit-learn) and deep learning ...

hands-on role for someone who enjoys technical depth, variety, and ownership, and who is comfortable applying the right techniques to each problem - from statistical analysis through to machine learning and deep learning models. You’ll join a small, high-calibre team that values autonomy, flexibility and technical excellence. … complex, ambiguous problem statements into clear, actionable data science solutions. Owning the full data science lifecycle, from data ingestion and feature engineering through to modelling, evaluation and deployment. Developing statistical, machine learning and deep learning models to support high-impact, real-world decision making. Working with large, structured ...

predict outcomes! Operations research: handling constraints, finding optimal arrangements for fastest packing. Stochastic simulation: accounting for variability in machine speeds and conveyor setups. Techniques: statistical simulation, stochastic modeling, linear optimization. Tools & Platforms Expertise: Databricks for data workflows. GitHub for CI/CD and version control. Package management for reproducibility. ...

role you must have the following essential skills & experience: Key Skills & Experience Model development: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply … them to enhance predictions, automate decision-making processes, and improve client offerings. Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement ...

learning, and the chance to make a difference. About the Role As a Data Scientist, you'll work end-to-end across data pipelines, modelling, and insights — helping the business make smarter decisions every day. You'll collaborate with product, engineering and senior stakeholders, with full support from … team. If you love solving problems, asking questions, and building useful things with data, this role is for you. Key Responsibilities Build predictive and statistical models using Python Develop end-to-end data pipelines and automated workflows Analyse behavioural, financial or operational datasets Create dashboards and visualisations ...

deliver actionable insights across the network of charging points Analyse customer behaviour, usage patterns, and operational data to inform strategy and growth Build statistical models for segmentation, regression, predictive modelling, and forecasting Support pricing and revenue optimisation initiatives, including dynamic pricing strategies Query and process large datasets coming … into clear recommendations for non-technical stakeholders What You'll Need: Strong SQL and Python skills; experience in AWS environments is a plus Solid statistical analysis background (segmentation, regression, forecasting) Hands-on, adaptable, and comfortable in a smaller, fast-moving team environment Excellent communication skills and ability to take ...

client is a VC-backed enterprise SaaS scale-up building next-generation financial intelligence. Combining proprietary data with deep scientific modelling, they're solving problems that once felt unsolvable - redefining how global industries understand, quantify, and act on complex risk. Now scaling fast, they're seeking a Director … Science to take ownership of their most advanced modelling and deep-technical R&D function reporting directly to C Suite. This is a highly confidential search for a rare profile: someone fluent in the language of science, yet commercial enough to turn that science into impact. The Role: Turning ...

succeed Not the classic "predictive modeling" skillset Data Science skillset Needed skills: Exploration vs. exploitation mindset Advanced Optimization Skills: Expertise in linear optimization and statistical optimization for systems. Strong background in modeling and solving problems involving variability and constraints. Ability to search optimal recipe space within a model. Build … predict outcomes. Operations research: handling constraints, finding optimal arrangements for fastest packing. Stochastic simulation: accounting for variability in machine speeds and conveyor setups. Techniques: statistical simulation, stochastic modeling, linear optimization. Industry Experience: Exposure to renewable energy, manufacturing, electronic systems or distribution (Retail/Food). Tools & Platforms: Databricks ...

clients within the Financial Services space and more. This role offers the chance to work on a really diverse range of projects, from scorecard modelling to AI integration, and could really see you take your career to the next level. THE ROLE This role would see you work with … range of clients on projects including: Re-developing and enhancing statistical models, including but not limited scorecards, affordability models, forecasting models, to drive insight into the customer journey and enhance business performance Provide wider ad hoc analysis and insight into customer trends and monitor the ongoing performance of credit ...