276 to 300 of 334 Statistical Modelling Jobs in the UK

to provide insight and present in a way that gives clarity, confidence and certainty to the audience. Experience in different approaches to data analysis & statistical modelling. Excellent statistical approach to problem solving. Experience using machine learning and advanced analytics approaches to solve business problems Appreciation of building machine More ❯

their best-in-class data science capability and deep expertise across FMCG and retail sectors. As a Senior Data Scientist, you’ll apply advanced modelling techniques to drive impactful, data-led solutions for major consumer brands. THE COMPANY This consultancy has built a reputation for delivering high-quality analytics … Hadoop to build and deploy models that influence customer strategy across areas like propensity, churn, segmentation , and more. Key responsibilities include: Developing and deploying statistical and machine learning models to support client objectives Working end-to-end on analytics projects, from discovery through to insight delivery Translating complex data … best practices YOUR SKILLS & EXPERIENCE To be considered for this role, you will ideally have: Solid experience working with customer data and applying predictive modelling techniques Proficiency in SQL , Python/PySpark , and exposure to big data environments such as Hadoop Commercial experience in the FMCG or retail space More ❯

futures, with strategies including market making, automatic quoting, central risk books, systematic trading, and algorithmic execution, trading on venues around the world. We deploy statistical analysis techniques and mathematical models to improve business performance while working closely with traders and salespeople on the trading floor to bring value to … to derivatives. Implement automated hedging algorithms, and build platforms to manage risk centrally across asset classes. Build and expand data pipelines for our advanced statistical and AI models, operating at scale with large quantities of time series data. Drive our market making platform development using a range of technologies More ❯

As Senior Credit Risk Pricing Analyst, your day-to-day responsibilities include but are not limited to: Conducting pricing and credit risk analysis using statistical techniques and data modelling Monitoring portfolio trends to ensure alignment with return targets Supporting credit policy and underwriting strategy development Delivering actionable, data More ❯

As Senior Credit Risk Pricing Analyst, your day-to-day responsibilities include but are not limited to: Conducting pricing and credit risk analysis using statistical techniques and data modelling Monitoring portfolio trends to ensure alignment with return targets Supporting credit policy and underwriting strategy development Delivering actionable, data More ❯

evolves as a product, stays ahead of market trends, and delivers measurable results. This role combines strategic vision with hands-on expertise, driving advanced statistical modeling, machine learning solutions, and actionable insights to enhance growth, manage risk, and deliver outstanding business impact. Location We are an office-led, remote … and investors to inform key business decisions. Explore and leverage unconventional data sources to create innovative, data-driven solutions for complex challenges. Combine traditional statistical methods with state-of-the-art machine learning techniques to address issues in credit risk, fraud prevention, pricing, and customer retention. Establish and enforce … Passionate about staying ahead of industry trends and fostering a culture of innovation and continuous learning. Minimum Requirements: 8+ years' experience in data science, modelling, or analytics. Proven expertise in Python/SQL coding and credit risk modelling. Advanced knowledge of machine learning techniques (e.g., deep learning, random forests More ❯

business reviews with data-driven presentations Advanced Analytics Leadership Develop sophisticated marketing analytics techniques Implement lifetime value modeling Conduct incrementality testing and marketing mix modelling (MMM) Establish and maintain critical business metrics and KPIs Team Development Foster a culture of continuous learning and analytical excellence Provide technical guidance and … in eCommerce/subscription business analytics Proven track record across digital acquisition channels Deep understanding of subscription business dynamics Technical Proficiency Advanced SQL skills Statistical analysis expertise Proficiency in Python/R Data visualisation tools (Tableau/PowerBI) Google Analytics 4 and attribution modeling experience Professional Qualities Highly autonomous … abilities Proven ability to work across organisational levels Commitment to driving strategic business decisions Preferred Qualifications: Direct-to-Consumer (DTC) subscription business experience Advanced statistical modeling techniques Marketing automation platform expertise Our ideal candidate will be a strategic communicator who transforms data into compelling narratives, driving organisational performance through More ❯

on data manipulation and engineering. A genuine interest in data science and a drive to expand your skillset into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimising workflows. Excellent communication and teamwork abilities to thrive in a dynamic consultancy … environment. Data modelling experience and understanding of the Kimball methodology Desirable Expertise: DP-600 – Fabric Analytics Engineer Associate PL-300 – Power BI Data Analyst Associate Responsibilities: On a daily basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines More ❯

the development and validation of PD, LGD, and EAD models in line with regulatory requirements (Basel III/IV). Quantitative analysis: Apply advanced statistical techniques, machine learning methods, and data analysis to build risk models. Stakeholder management: Collaborate with key stakeholders including clients, risk management teams, and regulatory … insights to clients on regulatory trends and the strategic impact of model changes on capital requirements. REQUIREMENTS IRB model development experience Strong proficiency in statistical modeling techniques, with experience in tools such as R, Python, SAS, or SQL. A degree in a quantitative field such as mathematics, statistics, economics More ❯

the development and validation of PD, LGD, and EAD models in line with regulatory requirements (Basel III/IV). Quantitative analysis: Apply advanced statistical techniques, machine learning methods, and data analysis to build risk models. Stakeholder management: Collaborate with key stakeholders including clients, risk management teams, and regulatory … insights to clients on regulatory trends and the strategic impact of model changes on capital requirements. REQUIREMENTS IRB model development experience Strong proficiency in statistical modeling techniques, with experience in tools such as R, Python, SAS, or SQL. A degree in a quantitative field such as mathematics, statistics, economics More ❯

highly motivated Computational Scientists to support the mission of decoding and engineering the immune system. The role focuses on developing advanced machine learning and statistical models to analyze complex biological data, particularly immune repertoires and multimodal datasets. About the Role As part of a collaborative Computational Biology team, you … PhD (or MSc with equivalent experience) in Computational Biology, Bioinformatics, Computer Science, Statistics, Physics , or related quantitative discipline. Strong background in machine learning and statistical modeling , with a demonstrated ability to solve complex biological problems. Proven track record of scientific productivity (e.g., peer-reviewed publications). Hands-on experience More ❯

ROI analysis, synthesising recommendations, and presenting to senior executives. Pragmatism; understanding of when analysis is good enough to finish. Statistically literate, competent with some statistical testing or modelling techniques. Here's a flavour of what our analysts have been up to this week: Worked with design and product More ❯

should therefore have a strong background in data storytelling and building relationships both internally and with clients. While this role does not require building statistical models or coding, an understanding of what is possible with data using modelling and machine learning will be beneficial in this role. The … Understanding of how 1st and 3rd party data is used in the creative planning process. Story data storytelling experience. Strong presentation experience. Awareness of modelling techniques and how they can be deployed to generate insights from data. Ability to demonstrate examples of building adoption via data in businesses. Be … analysts, data consultants and strategists alike to understand a brief and show how converged can help to answer that brief efficiently and effectively. Desired: Modelling experience in Python/R/SQL. Experience of audience activation in CDP platforms. Experience of end-to-end product development. An understanding of More ❯

A MSc/PhD from a top-tier university in a quantitative subject A strong background in mathematics and statistics, with good knowledge of statistical models and signal generation Proficiency in back-testing, simulation, and statistical techniques Proficiency in Python and/or C++ Reference: AMC*GWO*LDN More ❯

in their ability to create new strategies both independently and with team collaboration A strong background in mathematics and statistics, with good knowledge of statistical models and signal generation Proficiency in back-testing, simulation, and statistical techniques Data-mining skills paired up with data analysis skills. Previous experience More ❯

aligning language models for use in our conversational AI platform. Your primary focus will be on post-training techniques such as preference-finetuning, reward modelling, synthetic data generation, etc. Responsibilities : Train models and conduct experiments to assess model performance in live deployments Develop post-training strategies to achieve state … A degree in Computer Science, Machine Learning, or a related field, or equivalent industry experience 3+ years of experience working with deep learning and statistical models Strong knowledge of data quality standards and annotation processes, with the ability to independently evaluate and improve models Proficiency in Python and familiarity More ❯

advantage. Responsibilities Work with senior colleagues and internal stakeholders to spot business opportunities to leverage data science techniques and add business value. Build relevant statistical/machine learning models-related projects. Build RecSys/Recommendation Engines/Recommender Systems/Recommendation Systems Communicate findings effectively to stakeholders to encourage … adoption. Requirements A STEM/Computer Science degree (ideally MSc and above but all backgrounds considered). Excellent Python skills. Strong Machine Learning & Statistical knowledge Commercial Recommendation Engine experience Software Development best practice approach (CI/CD experience, etc.) Graph Neural Networks/Knowledge Graph experience. If this role More ❯

This successful quantitative investment firm harnesses cutting-edge machine learning and statistical techniques to navigate global financial markets. We are seeking a PhD Quantitative Researcher with up to 2 years of experience in machine learning to join our dynamic research team. This role is perfect for a technically adept … deploy machine learning models to create predictive trading strategies across diverse asset classes. Conduct in-depth research to uncover alpha-generating opportunities, leveraging advanced statistical and ML techniques to analyse complex financial datasets. Design, back-test, and implement robust trading algorithms optimized for live market environments. Build supporting tools … financial markets, time-series analysis, or similar data-intensive domains. Deep theoretical knowledge of machine learning, with expertise in areas such neural networks and statistical modelling. Advanced programming proficiency in Python or C# , with a track record of writing production-ready code. Demonstrated ability to articulate complex ideas and More ❯

This successful quantitative investment firm harnesses cutting-edge machine learning and statistical techniques to navigate global financial markets. We are seeking a PhD Quantitative Researcher with up to 2 years of experience in machine learning to join our dynamic research team. This role is perfect for a technically adept … deploy machine learning models to create predictive trading strategies across diverse asset classes. Conduct in-depth research to uncover alpha-generating opportunities, leveraging advanced statistical and ML techniques to analyse complex financial datasets. Design, back-test, and implement robust trading algorithms optimized for live market environments. Build supporting tools … financial markets, time-series analysis, or similar data-intensive domains. Deep theoretical knowledge of machine learning, with expertise in areas such neural networks and statistical modelling. Advanced programming proficiency in Python or C# , with a track record of writing production-ready code. Demonstrated ability to articulate complex ideas and More ❯

of data scientists in building predictive models. Oversee data cleaning, feature engineering, and model development pipelines. Build and maintain robust, scalable linear regression and statistical models for KPI forecasting. Drive improvements in internal tooling and API integrations. Collaborate closely with leadership, engineering, and the revenue team to translate business … a closely related field. Proven leadership experience — mentoring or managing junior data scientists. Expert Python programming skills (essential). Strong grasp of linear regression, statistical modeling, and data processing best practices. Proficient in SQL (MySQL preferred). Experience with web scraping, machine learning techniques, and dashboarding tools is a More ❯

strategies and manage their implementation. Influence broader business strategy through data-driven storytelling. Experimentation: Lead AB-test design, execution, and performance measurement, ensuring robust statistical and business interpretations. Price Merchandising & Personalised Pricing: Design and lead price merchandising initiatives, promo & discounts strategies, and personalised pricing models. Stakeholder Management: Work closely … in a two-sided marketplace, logistics, or e-commerce environment. Prior experience with pricing optimisation, personalised pricing strategies, promotions, or revenue management. Familiarity with statistical modeling techniques, although deep data science expertise is not required. Advanced and proven hands-on experience with SQL, Google Sheets, and Python. Proven experience More ❯

a degree with mathematical content and programming skills Relevant experience (Post-Doctoral or industrial) in robotics, data fusion, tracking/estimation, pattern discovery & recognition, statistical inference, optimisation and machine/deep learning algorithms along with real-time implementation, and/or validation & verification is a strong advantage Experience in … theory of evidence Machine Learning for regression and pattern recognition/discovery problems e.g. Gaussian processes, latent variable methods, support vector machines, probabilistic/statistical models, neural networks, Bayesian inference, random-forests, novelty detection, clustering Deep Learning e.g. Deep reinforcement learning, Monte-Carlo tree search, deep regression/classification More ❯

helping to shape the future of the data team at Unity, working closely with the Head of Data. You will be confident in the statistical analysis and modelling of financial data and be confident in presenting data with key stakeholders. The role works closely with senior stakeholders to More ❯

in a subject like science, maths, economics, or engineering. Working knowledge of UK power markets and understanding of power generation units. Solid experience with statistical and fundamental modelling using IT tools such as SQL, Python, Excel, and Business Intelligence tools (Power BI); with a pragmatic approach to large More ❯

and qualitative risk assessment methodologies Proficiency in data analysis tools, including advanced Excel functions (VLOOKUP, XLOOKUP, SUMIFS, pivot tables) or similar software Experience with statistical and mathematical modelling e.g. Monte Carlo Strong analytical skills, attention to detail, and commitment to data accuracy Skilled at interpreting complex data sets More ❯