1 to 25 of 46 Remote Statistical Modelling Jobs in the UK

a hybrid role, offering flexible working hours based on a 37-hour week, Monday to Friday. The role will support the Head of Wastewater Strategy and the growing WRc modelling team in delivering exceptional solutions for the wastewater sector. You will bring ideas, drive, and energy and be highly capable of engaging with clients to deliver solutions that meet … project opportunities, including existing UK framework contracts but also novel one-off projects both in the UK and overseas. This typically involves undertaking feasibility studies/projects using computer modelling, statistical modelling, GIS and data analysis to support operational and environmental recommendations or other interventions. Responsibilities: Demonstrate an ability to successfully deliver projects to exacting standards, within … of the business. Demonstrate intellectual curiosity, drawing on innovation in academia and industry. Person Specification: You will have proven previous experience in the water sector focused on wastewater network modelling, asset management, drainage planning and data analytics. In addition, you will be able to highlight experience associated with the future challenges that face the water industry and how we 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 ❯

as computer science, engineering,statistics, operational research, data science, or equivalent experience 2+years work experience in data science, working in a commercial setting orin consulting Experiencewith Machine Learning and statistical modelling techniques Strongprogramming skills in R and/or Python Experienceapplying advanced analytics and Machine Learning to solve businessproblems Experiencewith data visualization software/libraries (Tableau, PowerBI) Comfortworking … No SQL) Experiencewith distributed ML frameworks (TensorFlow, PyTorch, etc.) Familiaritywith collaborative software tools (Git, Jira, etc.) Experiencewith user interface libraries/applications (Shiny, Django, etc.) Experiencein developing ML or statistical models in the field of pricing (e.g. priceelasticity modelling) or dynamic pricing Domainexpertise in pricing, demand forecasting, or time-series data What we offer: Work within a corporate 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 ❯

complex datasets and identify opportunities for automation and process improvements. Strong analytical and problem-solving skills to address real-world business challenges. Practical and outcome driven mindset. Proficiency in statistical modelling : Demonstrated experience in developing and deploying statistical models, with a strong understanding of various, including supervised and unsupervised learning methods. Additional knowledge of GenAI and LLMs … extract meaningful insights. Experience in data processing to enable accurate analytics as well as effective model creation Ability to handle data quality issues and outliers effectively. Solid understanding of statistical concepts and techniques for modelling. Collaborative team player : Strong interpersonal and communication skills and the ability to work collaboratively in cross-functional teams, both non-technical (domain experts) and More ❯

understand large datasets Ability to identify trends & patterns within large datasets Advanced communication skills and stakeholder management skills including working with external clients Willingness to travel Desirable Experience in statistical modelling, and analysis using techniques such as regression analysis, multivariate analysis, factor analysis, and clustering Experience in analysing data in payments platforms including SWIFT, ISO20022 Experience working with 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 ❯

integration with language models. Technical Proficiency : Advanced proficiency in Python and experience with data manipulation and analysis libraries (Pandas, NumPy, SciPy), along with strong knowledge of machine learning algorithms, statistical modelling, and data mining techniques. Commercial Acumen : Deep understanding of product dynamics, market needs, and commercial considerations essential for conceptualising and executing impactful data-driven solutions. Leadership & Initiative More ❯

gameplay analysis, computer vision or video stream analysis. Proven experience with machine learning frameworks such as Python, NumPy, TensorFlow, or PyTorch. Strong understanding of data analysis, signal processing, and statistical modeling. Experience with video processing and understanding of game streaming technologies is a plus. Problem-Solving Skills: Excellent analytical and problem-solving abilities. Communication Skills: Strong ability to communicate More ❯

Techniques and Technology Logical thinking and problem solving Stakeholder Management Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact Statistical Modelling and experience of applying data science into client problems. Experience in retail domain would be an added advantage What you can expect from us We won't More ❯

deploy monitoring and alerting systems that ensure the accuracy and reliability of core datasets. You'll work across multiple teams to define key metrics and thresholds, productionise ML/statistical models, and create frameworks that scale across products and business units.You'll take projects from concept to delivery - scoping requirements, preparing and analysing large datasets, deploying solutions into AWS … based environments, and embedding best practices in data quality and monitoring. KEY SKILLS/EXPERIENCE: Proficient in Python & SQL for analysis, modelling, and interrogation Experience with large datasets and distributed data processing (PySpark) Skilled in deploying ML/statistical models into production Knowledge of AWS cloud infrastructure Strong analytical, problem-solving, and troubleshooting skills Ability to work with … client in conjunction with this vacancy only. KEY SKILLS: Data Scientist/Python/PySpark/AWS/SQL/Monitoring & Alerting/Data Quality/Machine Learning/Statistical Modelling/Manchester/Hybrid Working More ❯

and regular team meet-ups online and in person. Job Qualifications: About you We are looking for someone who loves big data and knows how to develop solutions using statistical and analytical methods. The role would suit someone who is from a technical or analytical background, and ideally has more than 2 years professional experience of working as a … data analyst or scientist. Essential skills and experience: Has excellent knowledge of statistical modelling and analysis Experience using Python for data analysis and writing production-quality code An understanding of machine learning methods Ability to communicate findings in a clear way Previous experience being in a data science or analysis role Strong attention to detail Ability to work … both independently and within a team Desirable skills and experience: Knowledge of C# Experience working with databases Experience of modelling energy within homes Thrive with Cotality At Cotality, we offer more than just a job - we deliver a benefits experience crafted to support your whole self. From flexible working arrangements to generous leave and standout private healthcare, our perks More ❯

leading enterprise data science teams in complex or product-led environments. A track record of delivering GenAI solutions using LLMs, prompt engineering, and RAG architectures. Deep understanding of experimentation, statistical modelling, and advanced analytics. Hands-on experience with MLOps practices, cloud environments (AWS or Azure), and classical ML model deployment. Proficiency in Python, SQL, and modern data science More ❯

that can (and should!) be leveraged to create propositions that customers will rely on and love. Your day to day: As a Data Scientist you will be building predictive statistical models and machine learning models and pipelines to drive business growth. You will work with ML Engineers to ensure those are deployed in production and delivering real value. Activities More ❯

engineering, model training, deployment, and monitoring. Deep understanding of MLOps best practices, including CI/CD for ML, model versioning, experiment tracking, and reproducibility. Experience with tools used for statistical analysis, predictive modeling, and AI/ML development. Familiarity with data governance, security best practices, and compliance regulations. A track record of driving strategic initiatives and engineering standardization efforts More ❯

in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning and statistical modelling. What you will do As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data. You will work with … organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Data Scientist, you will be expected to work independently on client engagements, take part in the development of More ❯

of German credit risk practices and regulation Advanced SQL skills; comfort working with large datasets Analytical mindset and strong communication skills Bonus: experience with Python , credit scoring systems, or statistical modelling 🎯 Why Apply: Join a dynamic, fast-growing fintech with international scale Ownership of high-impact credit initiatives Great benefits, bonus, stock options, and a modern Central London More ❯

of German credit risk practices and regulation Advanced SQL skills; comfort working with large datasets Analytical mindset and strong communication skills Bonus: experience with Python , credit scoring systems, or statistical modelling 🎯 Why Apply: Join a dynamic, fast-growing fintech with international scale Ownership of high-impact credit initiatives Great benefits, bonus, stock options, and a modern Central London More ❯

contributions in the world of sports analytics. Key responsibilities for the role of Data Scientist include: Collect, clean, and process football-related data from various sources. Develop and implement statistical models and algorithms to analyze player performance and match outcomes. Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders. Collaborate with football … industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series … to non-technical stakeholders. Highly desirable skills include: Football Analytics Domain: Significant plus if experienced with football datasets (event, tracking, etc.) and visualization libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the Vertex AI lifecycle (especially Pipelines ) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling: Experience with probabilistic programming More ❯

s strategy. We are looking for a well-established Data Scientist at all levels who wants new challenges. As a Senior Data Scientist, you will work using data engineering, statistical, and ML/AI approaches to uncover data patterns and build models. We use Microsoft tech stack, including Azure Databricks (Pyspark, python), and we are expanding our data science … to work closely with business stakeholders, data engineers, marketing analysts and BI analysts to improve our existing models, create new models, and bring our expertise. Core Responsibilities Apply advanced statistical techniques and ML/AI models to development and production environments Collaborate with team members and stakeholders to build data science products that enable others to make business decisions … Qualifications Postgraduate degree in a relevant discipline (e.g. STEM, Maths, Statistics, Physics) or equivalent experience Good data modelling, software engineering knowledge, and strong knowledge of statistical, mathematical and ML modelling are a must at this stage. Skilful in writing well-engineered code Proven experience working with ML engineers and production systems (including Cloud platforms) Proven ability to More ❯

Primary Details Time Type: Full time Worker Type: Employee Serve as modelling and data science partner for assigned business areas responsible for the scientific integrity of work products, including study design, research methodology, and deployment of statistical approaches and modelling Data Scientist - Fixed term until July 2026 London/Hybrid The Opportunity: Join a high-impact pricing More ❯

production Strong Python and SQL skills, with a solid understanding of data wrangling, feature engineering and model evaluation Deep understanding of the data science process-comfortable with exploratory analysis, statistical testing, and model comparison techniques Experience with structured prediction problems (e.g. regression, classification, ranking) using real-world, often messy data Familiarity with advertising systems (Google Shopping, PMAX, etc.) and More ❯

Data Analysis Position Type Permanent Hours Full Time Result Type Jobs Job Description Summary -Understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. To manage the implementation … science, biostatistics, or other quantitative field (or equivalent). More than 3 years experience in clinical drug development with extensive exposure to clinical trials. Strong knowledge and understanding of statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of … Literacy, Data Management, Data Quality, Data Science, Data Strategy, Data Visualization, Deep Learning, Machine Learning (Ml), Machine Learning Algorithms, Master Data Management, Proteomics, Python (Programming Language), R (Programming Language), Statistical Modeling Create a job alert and receive personalised job recommendations straight to your inbox. #J-18808-Ljbffr More ❯

Data analysts collect insights from data to help businesses make decisions with regards to Customer Knowledge and Operational Efficiency. The data analyst provides efficient data modeling tools and advanced statistical models. What You'll Do: Data modeling: The data analyst supports the business analyst team and help them to structure the data sets with SQL Data analysis: The central … data to find trends or patterns. Through this interpretation process, data analysts can produce actionable insights to help organizations achieve their goals. He also supports business analyst with advanced statistical models. Data visualization: The data analyst turns their insights into visualizations that make abstract findings real for stakeholders. KPIs definition and implementation: The data analyst defines the performance KPIs … in Business, Data Analytics, Computer Science, Information Systems, or a related field Ability to communicate fluently in English Experience with SQL required Knowledge of data warehousing concepts and data modelling Experience of using Salesforce CRM system an advantage Good oral and written communication skills Intellectual curiosity and analytical skills Where You'll Work: London, UK. The Eutelsat Group treats More ❯

drive innovation across the media ecosystem, including: Integrating large and diverse datasets from panels, census-level sources, digital platforms, and global partners. Developing GPU-powered algorithms for high-performance modelling at scale. Exploring applications of Large Language Models (LLMs) in media and measurement contexts. Designing and implementing machine learning solutions that enhance our product capabilities and operational intelligence. As … and real-world impact—this is a great fit for someone who wants to build, experiment, and push boundaries in applied data science. Key Responsibilities Design, prototype, and optimise statistical and ML models for integration into production workflows. Explore and apply LLMs and emerging AI techniques to enhance media and audience measurement use cases. Collaborate with cross-functional teams More ❯