1 to 25 of 149 Permanent Statistical Modelling Jobs in the UK excluding London

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 ❯

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 ❯

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 ❯

mentoring other scientists, engineers in the use of ML techniques BASIC QUALIFICATIONS - 5+ years of data scientist experience - Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) - Experience with statistical models e.g. multinomial logistic regression - Experience in data applications using large scale distributed systems (e.g., EMR, Spark More ❯

the Commercial Director you will develop credit risk analytics solutions to enhance Credit Scoring & Lending decisioning to optimise and grow their loan portfolio. Key Responsibilities: Developing and implementing advanced statistical models and preferably machine learning algorithms to predict credit risk, optimise credit scoring, and enhance our decision-making/underwriting processes. Develop and maintain predictive models to assess credit … Conduct A/B testing and other experiments to evaluate the impact of credit strategies and policies. Develop credit risk models, such as probability of default (PD) using various modelling techniques. Working independently and presenting findings and recommendations to stakeholders in a clear and concise manner. Key Skills/Experience: Experience in the Financial Services Industry (Essential) Experience working … be process-oriented to review, suggest and implement improvements where appropriate. Able to work in a fast paced, changing environment. Job Offer Opportunity to develop and enhance credit risk modelling & analytics strategy Opportunity to join a rapidly expanding financial services company More ❯

of the UK's fastest-growing retailers. You'll work at the heart of our Data & Analytics team, collaborating cross-functionally and mentoring others while driving innovation through experimentation, modelling, and automated decisioning. If you thrive in a fast-paced, insight-led environment and want your work to drive real change, we'd love to hear from you. At … how we target and segment consumers for targeted offers and promotions - Interrogate large volumes of data from a range of sources (online, customer verbatims, transactional etc) to use for modelling - Build predictive models to support business decision making - Build prescriptive tools (automated decisioning) with measurable commercial value - especially improving our marketing ROI - Lead the proactive and reactive support for … their analytical skills Qualifications - Experience in customer data/analytics, ideally within the retail industry. - Strong predictive analytics background, preferably in customer marketing - Strong expertise in data analysis and statistical modelling. Experience of data science and machine learning techniques. - Significant experience and strength in data visualisation and storytelling - able to communicate complexity in a straightforward and visually engaging manner More ❯

similar analytics role (gaming, betting, or consumer apps is a big plus) Strong skills in SQL, Python or R, and data visualisation tools (e.g., Tableau, Power BI) Experience with statistical analysis, predictive modelling, and segmentation techniques Understanding of user behaviour analytics, retention metrics, and A/B testing Bonus: Experience with fraud detection or risk analytics Strong attention More ❯

needs and efficient solutions. Gather, clean ad hoc data from various sources while ensuring data accuracy and quality, leveraging advanced analytics and AI technologies. Track marketing performance with attribution modelling and provide quarterly acquisition forecasts. Work closely with the data team to provide analytical support, champion best practice and contribute to shared goals. Build strong relationships with stakeholders across … experience in a data analyst or similar analytical role with a proven record of delivering strategic insights. Proficient in SQL and Python for data analysis, and automation and advanced statistical modelling. Comfortable working with large datasets and presenting insights to both technical and non-technical audiences. Numerate and enquiring mindset, an aptitude for problem solving and a keen desire More ❯

may be available for exceptional candidates. The ideal candidate will have a minimum of 5 years' experience in data science or a related field, with extensive knowledge of advanced statistical analysis and machine learning algorithms. Proficiency in Python, R, and SQL is essential. As a Senior Data Scientist, you will play a key role in developing data solutions that … valuable insights from complex datasets, develop advanced machine learning models, and drive data-driven decision-making across the organisation. Main Duties Design and implement sophisticated machine learning algorithms and statistical models to solve complex business problems Collaborate with cross-functional teams to identify opportunities for data-driven solutions and improvements Develop and maintain scalable data pipelines for efficient data … best practices and standards for data science workflows within the organisation Qualifications Minimum of 5 years of experience in data science or a related field Extensive knowledge of advanced statistical analysis and machine learning algorithms Proficiency in programming languages such as Python, R, and SQL Familiarity with database management systems, experience of cloud-based systems such as Snowflake Expertise More ❯

actionable insights that drive smarter decisions and sustainable business growth. Key Responsibilities Lead the development and delivery of analytics solutions across diverse business domains Design, build, and maintain robust statistical models and advanced analytical tools to solve complex business problems Collaborate with stakeholders to identify analytical opportunities and translate business challenges into data-driven projects Communicate complex analytical findings … Financial Services, with some leadership experience Familiarity with FCA regulations and the regulatory environment within financial services Deep technical expertise in working with large and complex data sets Strong statistical modelling experience Proficiency in Python, R, or SQL Exceptional communication skills, able to influence senior stakeholders and translate analytics into strategic decisions Highly analytical, commercial mindset with a … Financial Services, with some leadership experience Familiarity with FCA regulations and the regulatory environment within financial services Deep technical expertise in working with large and complex data sets Strong statistical modelling experience Proficiency in Python, R, or SQL Exceptional communication skills, able to influence senior stakeholders and translate analytics into strategic decisions Highly analytical, commercial mindset with a More ❯

actionable insights that drive smarter decisions and sustainable business growth. Key Responsibilities Lead the development and delivery of analytics solutions across diverse business domains Design, build, and maintain robust statistical models and advanced analytical tools to solve complex business problems Collaborate with stakeholders to identify analytical opportunities and translate business challenges into data-driven projects Communicate complex analytical findings … Financial Services, with some leadership experience Familiarity with FCA regulations and the regulatory environment within financial services Deep technical expertise in working with large and complex data sets Strong statistical modelling experience Proficiency in Python, R, or SQL Exceptional communication skills, able to influence senior stakeholders and translate analytics into strategic decisions Highly analytical, commercial mindset with a … Financial Services, with some leadership experience Familiarity with FCA regulations and the regulatory environment within financial services Deep technical expertise in working with large and complex data sets Strong statistical modelling experience Proficiency in Python, R, or SQL Exceptional communication skills, able to influence senior stakeholders and translate analytics into strategic decisions Highly analytical, commercial mindset with a More ❯

heart of our decisions Future Focused - we accelerate change Curious - we turn knowledge into action Role Purpose The Data Analyst will play a key role in advancing forecasting and modelling efforts by managing, analysing, and optimising large datasets across renewable, conventional, and storage assets globally. Working on asset revenue forecasting, power dispatch modelling, or power markets data, the … enhancing the company's global asset performance and revenue strategies. Responsibilities Knowledge Structures poorly defined problems, gathers feedback, and solves them effectively. Defines hypotheses and appropriate analysis approaches. Ensures statistical validity of results while avoiding common pitfalls. Develops deep technical expertise and emerging domain knowledge in forecasting or dispatch modelling. Provides specialist skills in data analysis, visualisation, and data … evolving their skills. Impact Performs defined and repeatable tasks with limited guidance. Independently formulates new analyses and project components. Carries out independent analysis on specific areas of forecasting or modelling projects. Delivers high-quality outputs on time, recognised for accuracy and reliability. Demonstrates strong proficiency in SQL or Python for data handling. Supports data governance and quality assurance activities. More ❯

with a range of teams, networks and product owners across the organisation to embed principles. 4. Providing specialist advice, guidance and thought leadership across the NHSBSA on:a. complex statistical, modelling and analytical matters.b. the ethical collection, sharing and use of data throughout the organisation. 5. Developing frameworks and resources to support identifying, collecting, monitoring, assuring and reporting … across the organisation to embed principles. Including but not limited to Information Governance, Data Governance, Data Platforms, Data & Analytics Communities, Heads of Service, Inclusion Accessibility and Social Impact Lead, Statistical Publication Lead, Data Science & Advanced Analytics Lead and Open Data Lead. 5. Provides specialist advice, guidance and thought leadership across the NHSBSA on: a. complex statistical, modelling … to have an error (e.g. serious reputational, financial or legal consequences) b. Algorithm Transparency Recording Standard (ATRS) and completing returns for Central Digital and Data Office. These are algorithmic, statistical or analytical tools that either: 1. have a significant influence on a decision-making process with public effect, or2. directly interact with the general public. 7. Undertakes reviews of More ❯

big data" sources to generate actionable insights. Build databases and is responsible for the curation of Data, including experimental data management. Extracting knowledge, insights and predictions from data using statistical methods, machine learning and data visualization. Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and … Biology, Chemistry, Computer Science, Physics, etc. Relevant work experience in either an academic or industry setting. Working knowledge of cell biology and experience in large scale data analysis and statistical modeling on datasets like RNA-seq, ATAC-seq, protein network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong breadth and expertise … in Statistical analysis, machine learning, data visualization, programming (Python, R, etc.), data cleaning and data manipulation. Tools: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI. Ability to generate high quality ideas and be self-driven to explore. Strong experience in programming and comfortable modifying existing code-base. Experience with Python, R data cleaning and data manipulation or other More ❯

Graph Algorithms, High-Performance Computing, Logistic Regression Model, Machine Learning (Ml), Master Data Management, Pandas (Python), Python (Programming Language), R (Programming Language), Random Forest Algorithm, Sql (Structured Query Language), Statistical Modeling, Time Series Analysis 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 ❯

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 ❯

feasibility reviews of initiatives and projects under management consideration. COMMERCIAL SKILLS: Strong analytical mindset with proven business acumen. Comfortable with financial, trade and management reporting analysis. Solid foundation in statistical analysis and accounting principles. Highly numerate with strong attention to detail. Strong verbal and written communication skills, capable of conveying complex concepts to all levels in the organization. Confident … Engineering or a related quantitative field. Experience in building and maintaining complex models using tools such as Excel, R and SQL. Hands-on involvement in delivering complex, multi-disciplinary modelling projects, including the development of neural network models. Practical application of AI/ML techniques in industrial process optimisation and predictive analytics Demonstrated ability to take on divers roles … across the lifecycle of complex modelling initiatives including: Product ownership defining vision, roadmap and stakeholder alignment, Project management planning, coordination and execution of modelling initiatives, Requirements analysis and specification gathering business needs and translating them into technical requirements, Solution design architecting robust analytical frameworks and methodologies, Model generation coding, testing and validating statistical or machine learning models More ❯

problems with real-world impact – this is for you. What You'll Do Conduct deep research into pricing optimisation strategies for hotel revenue Develop models in Python using Pandas, statistical tooling, and custom algorithms Translate real-world pricing problems into mathematical and statistical frameworks Work independently and contribute to a culture of intellectual rigor and curiosity Ideal Profile … PhD in Mathematics, Statistics, Physics, or a related quantitative field (Master’s with significant pricing optimisation experience considered) Strong foundation in statistical modelling, optimisation, and machine learning fundamentals Fluent in Python and data science tools (e.g., Pandas, NumPy) Prior experience in revenue management or pricing is a plus, but not required Interview Process Intro chat Take-home exercise More ❯

problems with real-world impact - this is for you. What You'll Do Conduct deep research into pricing optimisation strategies for hotel revenue Develop models in Python using Pandas, statistical tooling, and custom algorithms Translate real-world pricing problems into mathematical and statistical frameworks Work independently and contribute to a culture of intellectual rigor and curiosity Ideal Profile … PhD in Mathematics, Statistics, Physics, or a related quantitative field (Master's with significant pricing optimisation experience considered) Strong foundation in statistical modelling, optimisation, and machine learning fundamentals Fluent in Python and data science tools (e.g., Pandas, NumPy) Prior experience in revenue management or pricing is a plus, but not required Interview Process Intro chat Take-home exercise More ❯

business health. Perform deep dives into market trends, competitor activity, and internal performance to identify risks and opportunities. Apply a curious mindset and advanced techniquesincluding predictive analytics, AI, and statistical modellingto push the boundaries of insight generation. Bring curiosity, energy, and a passion for turning insights into practical, meaningful action to everything you do. What do you need to … thrive? Undergraduate degree Strong analytical skills: working with large data sets, data modelling, data manipulation, and data visualisation (including dashboarding) Solving complex client/customer problems through relevant analytical approaches using cutting-edge predictive algorithms/AI Turning strategic intent into high-quality deliverables under time constraints Synthesizing complex quantitative and qualitative data into clear, actionable insights Understanding of More ❯

a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize data and generate other business More ❯

a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize data and generate other business More ❯