1 to 25 of 34 Statistical Modelling Jobs in the South East

support business decision‐making. Insurance industry experience is highly advantageous but not essential. Analytical & Technical Expertise – Strong analytical capability with proven experience in statistical modelling skills and data interpretation. Technical Skills – Proficiency in Python for data analysis, modelling and machine learning. Machine Learning – Experience building and evaluating … communication skills. Organisation & Time Management – Excellent organisational and time‐management skills. Experience & Knowledge Proven experience in data science and data analysis. Good understanding of statistical techniques and their application, including GLMs, decision trees, random forest, boosting, natural language processing, distributions, clustering, simulation and scenario analysis. Knowledge of data platforms ...

too. Core skills we’re looking for to succeed in the role: Technical Pricing Expertise: Strong technical knowledge of motor insurance pricing, burn cost modelling, rating structures, underwriting risk and claims cost drivers, with experience of statistical modelling, predictive analytics or machine learning techniques within a general … frequency and severity models, loss ratio analysis, rating structure reviews and model enhancements. You’ll provide technical reviews and challenge to analytical outputs, ensuring modelling approaches, assumptions, data inputs and recommendations are appropriate, accurate and well documented. You’ll oversee the monitoring, maintenance and improvement of existing predictive models ...

energy system transformation. The Solution Architect will: Lead the design and implementation of scalable, secure, and high-performance platforms and solutions supporting energy modelling, forecasting, and scenario analysis. Ensure alignment between business strategy, policy objectives, and technology delivery. Work across multiple domains to enable integrated, enterprise-wide capabilities. … cloud architectures (preferably Azure, incl. Azure Data Factory, Synapse, Databricks, Fabric, etc.) Experience with big data technologies (Spark, Hadoop, distributed systems) Proficiency in data modelling, especially time-series and simulation datasets Knowledge of APIs, microservices, and event-driven architectures Energy Domain Knowledge Understanding of energy systems (electricity markets, renewables ...

producing high-quality outcomes. Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity … contribution to the enhancement of Sagacity’s data science and analytics product suite Competencies and Experience 2+ years’ experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy Educated to degree level (postgraduate ...

based in central London. The successful candidate will be responsible for interpreting, analysing and manipulating large and complex datasets, developing quantitative models and using statistical techniques to identify trends, patterns and opportunities. Working closely with analysts, developers and other technical specialists, you will have the opportunity to contribute … part of a team. Key Responsibilities Analyse and interpret large, complex datasets to identify trends and insights. Develop and enhance quantitative, mathematical and statistical models. Apply probability and statistical techniques to real-world problems. Develop, test and validate analytical models and methodologies. Use programming languages to analyse data ...

feel valued and respected for their unique contributions. Proven experience in data engineering and data science roles. Strong understanding of machine learning algorithms and statistical modeling techniques. Experience with large and complex datasets. Proficiency in programming languages such as Python, R, or Java. Experience with data visualization tools such ...

This is a senior leadership opportunity for a technically strong data leader to shape a growing Data Research function. You will combine hands-on statistical expertise with research strategy, people leadership and commercial decision-making. The Company They are a growing data and technology business providing sophisticated data products … open-ended research projects from hypothesis through to evidenced recommendations. Improve how new datasets are evaluated for quality, value and commercial potential. Develop stronger statistical, modelling and technical standards across the function. Lead, hire and develop a growing technical Data Research team. Evaluate the cost and value ...

with cloud platforms such as Redshift, Databricks or similar Proven track record in building impactful data visualisations (Power BI or equivalent) Strong understanding of statistical modelling, predictive analytics and machine learning Experience leading or mentoring analysts Excellent stakeholder engagement and communication skills Why Join Foodbuy? Be part ...

novel algorithms, computational methods, or machine learning models, preferably within genomics or other large-scale biological data domains Strong understanding of data structures, algorithms, statistical modelling, and quantitative problem-solving Excellent programming skills in Python, with experience in other languages an advantage (eg C, C++, Julia, R, Rust … confidential discussion on your career. Keywords: Computational, Genomics, Scientist, Research, Algorithm, Development, ML, Machine, Learning, AI, Bioinformatics, Statistics, Python, Maths, Sequencing, Modelling, Analytics, Computational, Software, Data, Biology, Quantitative, Programming, Cloud, Innovation, Biotechnology, Research, NGS, Pathogen, Bacteria, Virus, Disease, Oncology ...

. As part of our Telematics Pricing team, you'll work alongside experienced pricing and telematics specialists, using behavioural data, advanced analytics, and predictive modelling to shape pricing strategy and drive commercial performance. Youll apply your technical expertise and pricing insight to influence key business decisions, improve risk selection … experience working with telematics or other high velocity, high-volume sensor-based datasets using Python and SQL within cloud-based analytics environments Predictive Modelling Experience: Experience developing and deploying predictive models using Python and established data science methodologies would be advantageous Technical Skills & Tools: Experience with Radar is highly ...

excellent opportunity for a mid-level Data Scientist who enjoys solving real-world business problems and wants the opportunity to work across machine learning, statistical analysis and data-driven decision-making. Key Responsibilities Develop and deploy machine learning and statistical models to solve business problems. Analyse large … stakeholders. You'll ideally have: Strong commercial experience as a Data Scientist. Excellent Python skills. Strong SQL experience. Solid understanding of machine learning and statistical modelling. Experience working with predictive modelling techniques. Strong analytical and problem-solving skills. Experience communicating technical findings to non-technical audiences. A degree ...

build something from the ground up and make a significant impact across the business. The product has strong parallels with quantitative trading and financial modelling - working with complex datasets, building structured models, using statistical modelling techniques, and using data to drive better decisions. What … datasets to identify patterns, trends and opportunities Developing approaches to ranking, weighting and interpreting data Using Python, R, SQL and Excel for analysis and modelling Helping shape a completely new analytical capability within the business What we're looking for... We're particularly interested in people currently working ...

novel algorithms, computational methods, or machine learning models, preferably within genomics or other large-scale biological data domains Strong understanding of data structures, algorithms, statistical modelling, and quantitative problem-solving Very good programming skills in Python, with experience in other languages an advantage (eg C, C++, Julia … confidential discussion on your career. Keywords: Computational, Genomics, Scientist, Research, Algorithm, Development, ML, Machine, Learning, AI, Bioinformatics, Statistics, Python, Maths, Sequencing, Modelling, Analytics, Computational, Software, Data, Biology, Quantitative, Programming, Cloud, Innovation, Biotechnology, Research, NGS, Pathogen, Bacteria, Virus, Disease, Oncology ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

foundation models. Experience with AI frameworks and libraries: PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers; OpenCV for vision applications. Strong understanding of experimental design, statistical evaluation, benchmarking and model validation. Experiment tracking and reproducibility tools, for example MLflow, Weights & Biases or equivalent. Data wrangling and analysis using Pandas, NumPy ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

perform data analysis, and collaborate across teams to implement data‐driven improvements within the insurance domain. The role requires strong Python skills, statistical modelling, and experience guiding junior colleagues in a fast‐paced, regulated #J-18808-Ljbffr ...

Kafka. Experience with tools development, automation (CI/CD, Auto Deployment, System Availability, etc.), logging and monitoring. Experience with large scale data analytics and statistical modelling. Strong analytical, problem solving and communication skills. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race ...

largest lenders and financial services organisations. Working directly with clients, you'll build credit scorecards, develop lending strategies and create statistical models using Credit Reference Agency (CRA) data to help businesses make better lending decisions. This is a highly commercial, client-facing position where you'll own analytical projects … senior stakeholders while balancing technical excellence with commercial impact. You'll be responsible for: Developing acquisition and behavioural credit scorecards using CRA data Building statistical and machine learning models including logistic and linear regression Designing and implementing credit strategies for new and existing customer portfolios Analysing large datasets using ...

processes. Your Skills & Experience Strong experience applying data science techniques within a consumer goods, retail, or customer-focused environment. Demonstrated capability in machine learning, statistical modelling, and predictive analytics. Proficiency with Python, SQL, and relevant data science libraries. Experience working with large and complex datasets to generate business ...

exciting opportunity for an experienced engineer to work on challenging perception and intelligence problems, applying techniques across AI, computer vision, image processing, and statistical modelling. You will play a key role in developing algorithms that enable systems to better detect, interpret, and respond to their environment. The successful candidate … work, successful applicants will be required to obtain UK Security Clearance. Desirable Experience Experience with any of the following would be beneficial: Statistical modelling, Bayesian methods, uncertainty estimation, or probabilistic techniques. Synthetic data generation, multi-modal AI, or action recognition. Machine learning development tools, experiment tracking, dataset management ...

Reigate. You will own complex pricing models, drive improvements and apply cutting-edge analytics at scale with autonomy and influence. The role requires strong statistical modelling experience (GLMs/GBMs), governance awareness and excellent communication with senior stakeholders. WTW Radar/Emblem knowledge and Databricks, SQL or Python ...

consultancy projects for some of the UK's largest lenders and financial services organisations. You will build credit scorecards, develop lending strategies and create statistical models using Credit Reference Agency data to help decisions. This is a highly commercial, client-facing role where you'll own analytics projects from ...

reproducible analyses and create clear visualisations and summaries for technical and business audiences. Form and test hypotheses; identify where further data, enrichment, analysis or modelling could create additional value for an R&D product or business question. Support the development and evaluation of baseline statistical and machine-learning ...