1 to 25 of 129 Statistical Modelling Jobs in the UK excluding London

Energy Modelling Analyst Department: Modelling Employment Type: Permanent - Full Time Location: Oxford, UK Description Please note: the start date for this position is October 2025 . Aurora's modelling team create and maintain the energy models that underpin our subscription analytics, advisory, and software offerings. Our services are widely used by leading energy companies and investors. Based … in Oxford, you will contribute to our energy modelling efforts by developing analytical and computational tools, enhancing our modelling methodology, analysing data, formulating recommendations on future trends, and conveying insights to enhance clients' decision making. The positions have a focus on modelling energy commodities (notably electricity) markets and suit a recent university graduate (MSc or PhD). … to reflect the intricacies of specific energy markets, while building analytical tools to enhance Aurora's technical suite Actively contribute to the continuous improvement of processes within the broader modelling team Skills, Knowledge and Expertise Required attributes: Relevant degree in Economics, Engineering, Mathematics, Computer Science or other quantitative field Exceptional problem solving skills and analytical ability Ability to collect More ❯

will be joining an expanding consultancy focused on supporting innovation in the pharmaceutical and biotech industry. Its specialist research division is dedicated to solving complex biological problems through advanced statistical modelling and ML/AI. They have an experienced team with a strong track record and are looking for an extra person to join them to work on … statistical method development and application to real-world drug discovery & development problems. Your new role As a Senior Data Scientist, your work will centre on methodological innovation. You will: Design and implement novel statistical approaches to interrogate large-scale genomic datasets Develop new models to quantify genetic contributions to disease and complex traits Evaluate and refine existing analytical … frameworks to improve accuracy and interpretability Ensure scientific rigour and reproducibility in all method development Translate complex statistical outputs into meaningful insights for technical and non-technical audiences Collaborate with engineering teams to embed new methods into scalable data pipelines Contribute to peer-reviewed publications that showcase methodological advancements Stay ahead of emerging techniques in statistical genetics and More ❯

will be joining an expanding consultancy focused on supporting innovation in the pharmaceutical and biotech industry. Its specialist research division is dedicated to solving complex biological problems through advanced statistical modelling and ML/AI. They have an experienced team with a strong track record and are looking for an extra person to join them to work on … statistical method development and application to real-world drug discovery & development problems. Your new role As a Senior Data Scientist, your work will centre on methodological innovation. You will: Design and implement novel statistical approaches to interrogate large-scale genomic datasets Develop new models to quantify genetic contributions to disease and complex traits Evaluate and refine existing analytical … frameworks to improve accuracy and interpretability Ensure scientific rigour and reproducibility in all method development Translate complex statistical outputs into meaningful insights for technical and non-technical audiences Collaborate with engineering teams to embed new methods into scalable data pipelines Contribute to peer-reviewed publications that showcase methodological advancements Stay ahead of emerging techniques in statistical genetics and More ❯

will be joining an expanding consultancy focused on supporting innovation in the pharmaceutical and biotech industry. Its specialist research division is dedicated to solving complex biological problems through advanced statistical modelling and ML/AI. They have an experienced team with a strong track record and are looking for an extra person to join them to work on … statistical method development and application to real-world drug discovery & development problems. Your new role As a Senior Data Scientist, your work will centre on methodological innovation. You will: Design and implement novel statistical approaches to interrogate large-scale genomic datasets Develop new models to quantify genetic contributions to disease and complex traits Evaluate and refine existing analytical … frameworks to improve accuracy and interpretability Ensure scientific rigour and reproducibility in all method development Translate complex statistical outputs into meaningful insights for technical and non-technical audiences Collaborate with engineering teams to embed new methods into scalable data pipelines Contribute to peer-reviewed publications that showcase methodological advancements Stay ahead of emerging techniques in statistical genetics and More ❯

will be joining an expanding consultancy focused on supporting innovation in the pharmaceutical and biotech industry. Its specialist research division is dedicated to solving complex biological problems through advanced statistical modelling and ML/AI. They have an experienced team with a strong track record and are looking for an extra person to join them to work on … statistical method development and application to real-world drug discovery & development problems. Your new role As a Senior Data Scientist, your work will centre on methodological innovation. You will: Design and implement novel statistical approaches to interrogate large-scale genomic datasets Develop new models to quantify genetic contributions to disease and complex traits Evaluate and refine existing analytical … frameworks to improve accuracy and interpretability Ensure scientific rigour and reproducibility in all method development Translate complex statistical outputs into meaningful insights for technical and non-technical audiences Collaborate with engineering teams to embed new methods into scalable data pipelines Contribute to peer-reviewed publications that showcase methodological advancements Stay ahead of emerging techniques in statistical genetics and More ❯

will be joining an expanding consultancy focused on supporting innovation in the pharmaceutical and biotech industry. Its specialist research division is dedicated to solving complex biological problems through advanced statistical modelling and ML/AI. They have an experienced team with a strong track record and are looking for an extra person to join them to work on … statistical method development and application to real-world drug discovery & development problems. Your new role As a Senior Data Scientist, your work will centre on methodological innovation. You will: Design and implement novel statistical approaches to interrogate large-scale genomic datasets Develop new models to quantify genetic contributions to disease and complex traits Evaluate and refine existing analytical … frameworks to improve accuracy and interpretability Ensure scientific rigour and reproducibility in all method development Translate complex statistical outputs into meaningful insights for technical and non-technical audiences Collaborate with engineering teams to embed new methods into scalable data pipelines Contribute to peer-reviewed publications that showcase methodological advancements Stay ahead of emerging techniques in statistical genetics and More ❯

will be joining an expanding consultancy focused on supporting innovation in the pharmaceutical and biotech industry. Its specialist research division is dedicated to solving complex biological problems through advanced statistical modelling and ML/AI. They have an experienced team with a strong track record and are looking for an extra person to join them to work on … statistical method development and application to real-world drug discovery & development problems. Your new role As a Senior Data Scientist, your work will centre on methodological innovation. You will: Design and implement novel statistical approaches to interrogate large-scale genomic datasets Develop new models to quantify genetic contributions to disease and complex traits Evaluate and refine existing analytical … frameworks to improve accuracy and interpretability Ensure scientific rigour and reproducibility in all method development Translate complex statistical outputs into meaningful insights for technical and non-technical audiences Collaborate with engineering teams to embed new methods into scalable data pipelines Contribute to peer-reviewed publications that showcase methodological advancements Stay ahead of emerging techniques in statistical genetics and More ❯

will be joining an expanding consultancy focused on supporting innovation in the pharmaceutical and biotech industry. Its specialist research division is dedicated to solving complex biological problems through advanced statistical modelling and ML/AI. They have an experienced team with a strong track record and are looking for an extra person to join them to work on … statistical method development and application to real-world drug discovery & development problems. Your new role As a Senior Data Scientist, your work will centre on methodological innovation. You will: Design and implement novel statistical approaches to interrogate large-scale genomic datasets Develop new models to quantify genetic contributions to disease and complex traits Evaluate and refine existing analytical … frameworks to improve accuracy and interpretability Ensure scientific rigour and reproducibility in all method development Translate complex statistical outputs into meaningful insights for technical and non-technical audiences Collaborate with engineering teams to embed new methods into scalable data pipelines Contribute to peer-reviewed publications that showcase methodological advancements Stay ahead of emerging techniques in statistical genetics and More ❯

Team to develop and apply algorithms to transform raw data into actionable insights. As the Data Analyst you will possess analytical skills, a structured approach to problem solving, and statistical knowledge. Our job is to work alongside the business to develop, test and deploy analytics or software which provide significant insights and improvements to the business. We also develop … the integration, enhancement, and deployment of our analytical suite to give our leadership visibility of how the business is performing to make timely, data-driven decisions. Support with capacity modelling, maintain and develop new and existing forecasting demand models based on business insights research & analysis Owning a project; build engagement, influence relevant stakeholders, and deliver change Work closely with … Lean and Operations teams, playing a crucial role in our journey to operational excellence Participate and support digitisation projects Research and implement new statistical, machine learning and optimization approaches. Understand best practice and keep up to date with trends, new technology and competitor advances. Qualifications/Requirements Bachelors degree from an accredited university of college, or equivalent knowledge and More ❯

outcomes, and improved operational efficiency. Working as part of a multidisciplinary Analytics & Insights team, you'll contribute to shaping a more data-driven culture-where machine learning, AI, and statistical modelling are leveraged to create real-world solutions with measurable impact. Your Impact As a Data Scientist, you'll : Collaborate with business leaders to identify opportunities and translate … with the Microsoft technology stack - including Azure Data Factory, Synapse, Databricks, Power BI, Azure ML. Sound understanding of machine learning methods (KNN, Naïve Bayes, SVM, Decision Forests). Solid statistical and mathematical foundations (regression, distributions, linear algebra, multivariable calculus). Excellent communication skills - able to explain technical findings to both technical and non-technical audiences. A degree in Computer More ❯

outcomes, and improved operational efficiency. Working as part of a multidisciplinary Analytics & Insights team, you'll contribute to shaping a more data-driven culture-where machine learning, AI, and statistical modelling are leveraged to create real-world solutions with measurable impact. Your Impact As a Data Scientist, you'll : Collaborate with business leaders to identify opportunities and translate … the Microsoft technology stack - including Azure Data Factory, Synapse, Databricks, Power BI, Azure ML. Sound understanding of machine learning methods (KNN, Na ve Bayes, SVM, Decision Forests). Solid statistical and mathematical foundations (regression, distributions, linear algebra, multivariable calculus). Excellent communication skills - able to explain technical findings to both technical and non-technical audiences. A degree in Computer More ❯

at Haven, playing a key role in automating and optimising our Holiday pricing system. This is an exciting opportunity for a data-driven professional to shape strategic decisions using statistical modelling, machine learning, and operations research techniques. With a strong emphasis on business impact, you’ll work collaboratively across departments to transform data into clear, actionable insights that … power better outcomes. Your Opportunity: Apply advanced statistical and machine learning methods to complex business problems Build and maintain decision science algorithms to support commercial strategies Deliver compelling insights to stakeholders, clearly communicating technical outputs Ensure data quality and integrity throughout all analysis projects Document processes to ensure replicability and long-term use Provide technical guidance to peers and … of key business KPIs including EBITDA performance Embed data at the heart of decision-making processes across the organisation What We’d Like You to Bring: Strong proficiency in statistical analysis, machine learning, and predictive modelling Advanced knowledge of programming tools such as Python, R, and Microsoft SQL Proven ability to translate complex data into meaningful business recommendations More ❯

ML modeling, including semantic search, ranking algorithms, clustering, recommendation systems, and natural language processing (NLP), with a track record of deploying models to production. Strong skills in data analysis, statistical modeling, and computational problem-solving; ideally with a background in a quantitative field such as Statistics, Mathematics, Physics, or Computer Science. Comfortable working with large-scale data and behavioral More ❯

Proven experience in data analysis, reporting, and working with operational datasets; quick to adapt to technical challenges. Proficient in Excel, PowerQuery, SQL, and Power BI; experience with Python and statistical modelling is advantageous. Skilled in learning new tools and technologies; familiarity with Azure Data Factory and building data pipelines is a plus. Confident in presenting complex information clearly More ❯

ideally in a government, defence, or security environment. Strong programming skills in Python or R, including experience with libraries such as scikit-learn, TensorFlow, or PyTorch. Solid understanding of statistical modelling, machine learning, and data mining techniques. Experience with SQL and working with large-scale databases. Familiarity with data visualisation tools (e.g., Power BI, Tableau, or Matplotlib). More ❯

development. Desirable Project management qualification or equivalent experience. Experience Essential Experience of linking complex data sets to derive meaningful analysis. Experience of validating and quality assuring outputs. Experience of statistical analysis of highly complex information. Experience of planning workload independently and project management skills Ability to manage complex and varying workloads whilst delivering to often tight timescales. Experience and … understanding of data quality issues (including resolution of such issues). Significant experience of databases/data modelling tools within an information environment. Experience of providing and presenting highly complex information to clinicians and senior managers. Desirable Experience of providing specialist advice on highly complex information issues Experience of using business intelligence tools to provide meaningful insight to a … range of audiences. Experience of using Microsoft Power BI and Power Automate. Experience in machine learning and statistical modelling, including supervised and unsupervised learning, and time-series forecasting. Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure More ❯

meaningful insights to drive informed decision-making. Key Responsibilities: * Analyse and pre-process large-scale time series datasets, identifying relevant variables and data cleansing requirements. * Develop and implement advanced statistical models and machine learning algorithms to perform predictive analysis on time series data. * Build and validate forecasting models to predict future trends, patterns, and anomalies in time series data. … projects. * Communicate findings and insights effectively to stakeholders, presenting complex concepts in a clear and concise manner. * Stay up to date with the latest advancements in time series analysis, statistical modelling, and machine learning techniques. * Collaborate with data engineers to optimize data pipelines and ensure efficient data processing for time series analysis. * Contribute to the development and improvement 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 ❯

Science, Statistics, Computer Science, or related field 5+ years experience in data science with at least 2 years in a leadership role Strong background in machine learning algorithms and statistical modeling Experience working with healthcare data and understanding of healthcare analytics Proficiency in Python, R, or similar data science programming languages Knowledge of big data technologies and cloud platforms More ❯

CD pipelines and Docker containerisation for ML model development/deployment. Data preprocessing and feature engineering expertise. Programming skills in Python and ML frameworks (TensorFlow, Torch, scikit-learn). Statistical analysis and model evaluation capabilities. Previous experience in the banking sector is mandatory. Some other highly valued skills may include: Experience with experiment tracking and model registry tools (MLflow More ❯

Deployed Engineer, Solution Engineer, Implementation Specialist or an equivalent position within a B2B SaaS company. You have experience in building AI applications. You have experience in applying and optimizing statistical and machine learning models to solve business problems. You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). You are fluent in Spanish More ❯

Deployed Engineer, Solution Engineer, Implementation Specialist or an equivalent position within a B2B SaaS company. You have experience in building AI applications. You have experience in applying and optimizing statistical and machine learning models to solve business problems. You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). You are fluent in Spanish More ❯

and how they operate Extensive experience designing, developing and maintaining pipelines and tools to measure real-time engineering operations and processes Strong analytical and problem-solving skills in performing statistical analysis, data modeling, and predictive analytics. Professional experience in modern C++, including the STL and common testing frameworks Fluency in Python for software development Ability to develop high-quality More ❯

provide strategic guidance and tooling to benefit the wider Pricing, Data and Analytics community and support data-driven innovation. Key Responsibilities Developing, analysing, and overseeing the implementation of advanced statistical and machine learning models into live pricing. Stretching the team's capabilities in Artificial Intelligence, Machine Learning and use of Cloud technologies. Working cross-functionally with the wider Pricing More ❯

will be directly supporting key commercial, operational, and strategic decisions makers across the business. You will apply the appropriate solution to the problem at hand. This could be advanced statistical techniques (Hierarchical Bayesian modelling, GAMs), AI and machine learning techniques (LLMs, neural networks) or simple arithmetic. The key is to deliver useful and timely information for the benefit … external clients. Proficiency in R or Python. Solid understanding of SQL; experience working with Spark (Java, Python, or Scala variants) and cloud platforms like Databricks is a plus. Strong statistical knowledge, including hypothesis testing, confidence intervals, and A/B testing. Ability to understand and communicate the commercial impact of data activities. Why Join Us? Be part of a More ❯