76 to 100 of 202 Statistical Modelling Jobs in London

great things you’ll do: AI Strategy & Delivery • Lead mission-critical data initiatives from vision to deployment and continuous improvement • Solve highly complex and ambiguous problems through structured experimentation, modelling, and optimisation • Define the technical direction for high-priority use cases across multiple domains Scientific & Technical Leadership • Set best practices for experimentation, modelling, and measurement across the team … we’d like to see from you: • Extensive experience delivering high-impact AI solutions in complex, data-rich environments • Strong hands-on expertise in Python, machine learning frameworks, and statistical modelling • Deep understanding of ML system design, from experimentation through to production deployment • Proven ability to lead cross-functional technical initiatives with executive visibility • Excellent storytelling, stakeholder influence More ❯

are looking for you. Job Description If you are passionate, curious and ready to make an impact, we are looking for you. Quantitative Research (QR) is an expert quantitative modelling group in J.P. Morgan, as well as a leader in financial engineering, data analytics, statistical modelling and portfolio management. As a global team, QR partners with traders … to provide analytical support to the trading desks and other stakeholders. Job Summary As a Vice President or Executive Director in Quantitative Research, Energy team, you will be providing modelling solutions to the Commodities business. Yo will get a chance to utilize your extensive knowledge of quantitative methods, including valuation of derivatives and risk modelling, as well as More ❯

integrate analytics into strategic planning. Experimentation & Validation Design, run and analyze A/B tests, simulations and other experimental frameworks to validate hypotheses related to routing and optimisation. Ensure statistical rigor and business relevance in all experiments; translate results into clear recommendations. Feature Prioritisation & Roadmap Alignment Partner with data scientists to evaluate potential features, tools and models. Recommend and … an analytical logistics role; bonus points for two-sided marketplace, last-mile logistics, or e-commerce environments. Prior success driving logistics network optimisation and cost-reduction strategies. Familiarity with statistical modelling techniques (deep data-science expertise not required). Advanced, proven hands-on skills in SQL, Python, and dashboarding tools such as Tableau. Demonstrable track record designing, executing More ❯

individual's needs, beliefs, behaviours, and aspirations. We foster an inclusive workplace that emphasizes personal well-being. Role Are you an aspiring data scientist with a strong foundation in statistical modelling, programming, and business problem-solving? Do you thrive on learning fast, solving real-world problems, and making an impact from day one? We're looking for a More ❯

champion individuality in our marketing solutions and workplace, promoting an inclusive environment that emphasizes personal well-being. Role Are you an aspiring data scientist with a strong foundation in statistical modelling, programming, and business problem-solving? Do you thrive on learning quickly, solving real-world problems, and making an impact from day one? We’re seeking a Junior More ❯

science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools and approaches to support organisational commitments. Manage competing demands for Data Science work within the Data More ❯

science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools and approaches to support organisational commitments. Manage competing demands for Data Science work within the Data More ❯

science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools and approaches to support organisational commitments. Manage competing demands for Data Science work within the Data More ❯

science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools and approaches to support organisational commitments. Manage competing demands for Data Science work within the Data More ❯

a team who use global data from the largest real-time fraud detection platform to craft solutions for our enterprise customers. About the role: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased customer profitability. More ❯

science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools and approaches to support organisational commitments. Manage competing demands for Data Science work within the Data More ❯

Techniques and Technology Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact. Logical thinking and problem solving Stakeholder Management Statistical Modelling and experience of applying data science into client problems. What you can expect from us We won't just meet your expectations. We'll defy them. So More ❯

industry BASIC QUALIFICATIONS - PhD, or a Master's degree and experience applying theoretical models in an applied environment - Experience in solving business problems through machine learning, data mining and statistical algorithms - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - 3+ years experience in commercial OR … abilities, excellent written and verbal communication skills - Ability to handle ambiguity and fast-paced environment PREFERRED QUALIFICATIONS - Experience in professional software development - Reinforcement Learning - Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance - Experience diving into data to discover hidden patterns and of conducting error/deviation analysis - Familiarity with More ❯

develop, back-test, and implement short and medium-term quantitative trading signals applied to the crypto • Robust portfolio construction based on multiple signals • Identify new trading opportunities by using statistical methods and analyzing large data set • Contribute to improve a state-of-the-art quantitative pipeline that allows for fast strategy test iteration and insight generation • Organize and present … crypto markets • Advanced degree (PhD or MSc) from a top-tier university in a quantitative field, such as Statistics, Operations Research, Computer Science, Mathematics, or Physics • Strong experience developing statistical models in a trading environment • Deep understanding of optimization theory • Excellent programming skills in Python and understanding of Git • Curious and open-minded disposition with high attention to detail More ❯

Hiring: Quantitative Analysts – Sports Modelling | London | Up to £130k + Bonus 🚨 A high-performing, close-knit team of researchers and software developers is looking to add Mid-Level and Senior Quantitative Analysts to their growing group. This firm trades on global sports markets using cutting-edge statistical modelling and high levels of automation. 📍 Location: Central London … flexibility) 💰 Salary: Up to £130,000 + 20% Bi-Annual bonus + benefits What you'll do: Build predictive models for sports outcomes (e.g. football, tennis, cricket) Apply rigorous statistical techniques to large real-world datasets Contribute directly to trading strategies in a high-impact, low-bureaucracy setting What we're looking for: MSc/PhD in a quantitative … Maths, Stats, Physics, Computer Science) Strong experience working with real-world data Proficiency in Python (mandatory); R, MATLAB, and C# are a plus Deep understanding of probability, statistics, and modelling Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and real-time analytics Private healthcare, pension More ❯

Hiring: Quantitative Analysts – Sports Modelling | London | Up to £130k + Bonus 🚨 A high-performing, close-knit team of researchers and software developers is looking to add Mid-Level and Senior Quantitative Analysts to their growing group. This firm trades on global sports markets using cutting-edge statistical modelling and high levels of automation. 📍 Location: Central London … flexibility) 💰 Salary: Up to £130,000 + 20% Bi-Annual bonus + benefits What you'll do: Build predictive models for sports outcomes (e.g. football, tennis, cricket) Apply rigorous statistical techniques to large real-world datasets Contribute directly to trading strategies in a high-impact, low-bureaucracy setting What we're looking for: MSc/PhD in a quantitative … Maths, Stats, Physics, Computer Science) Strong experience working with real-world data Proficiency in Python (mandatory); R, MATLAB, and C# are a plus Deep understanding of probability, statistics, and modelling Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and real-time analytics Private healthcare, pension More ❯

overlapping) Strong analytical ability Intermediate to advanced SQL skills Finance background preferred Data visualisation and storytelling ability Ability to self organise and manage stakeholders Very good grasp of data modelling and the tools associated with it. Understanding of how data is processed with technical services also a plus Demonstration of impact/going above and beyond basic role requirements … Python/R Understanding of stats and statistical modelling (measures of central tendency, understanding of variance and testing, some regression modelling) Desirable DBT Data modelling in a warehouse context Understanding of testing and experimental design Legally authorised to work in the UK Some important stuff we would like you to know To meet our regulatory obligations More ❯

scoping work items, and contributing to roadmap discussions. Skills & Experience: Strong background in physiological signal analysis, ideally with experience in neurophysiology, cerebral hemodynamics, or related areas Proficient in applying statistical modelling and machine learning techniques (e.g., time-series modelling, feature extraction, classification) to biological/medical datasets Fluent in Python and familiar with industry-standard tools for … Strong understanding of physical principles associated with optical spectroscopy, interferometry, and related techniques Familiarity with regulatory environments (e.g., FDA, CE-marked devices) Exposure to optical sensor design, photon migration modelling, or neuroimaging. Benefits: Company equity plan Company pension scheme Private medical, dental and vision insurance Group life assurance Comprehensive mental health support and resources Unlimited holiday allowance (+ bank More ❯

overlapping) Strong analytical ability Intermediate to advanced SQL skills Finance background preferred Data visualisation and storytelling ability Ability to self organise and manage stakeholders Very good grasp of data modelling and the tools associated with it. Understanding of how data is processed with technical services also a plus Demonstration of impact/going above and beyond basic role requirements … Python/R Understanding of stats and statistical modelling (measures of central tendency, understanding of variance and testing, some regression modelling) DBT Data modelling in a warehouse context Understanding of testing and experimental design Legally authorised to work in the UK Some important stuff we would like you to know To meet our regulatory obligations as More ❯

Remote UK BASED CANDIDATES ONLY My client is looking for an experienced Machine Learning Engineer ready to play a pivotal role in shaping the technical direction of their behavioural modelling and threat detection systems. This position offers the opportunity to influence not just their engineering roadmap, but how they fundamentally approach solving complex, real-world security challenges with data. … and engineering disciplines. What We're Looking For Hands-on experience in developing and deploying machine learning models at scale. Deep familiarity with core ML concepts (classification, time-series, statistical modelling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (eg pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience More ❯

a scalable, tech-enabled platform that intercepts millions of unwanted items every year, transforming them from landfill-bound to re-loved by new owners. Responsibilities: Lead and deliver scalable statistical models and analyses that drive business decisions Own end-to-end delivery of data science projects, from identifying and integrating data sources to experimentation, model deployment, and pricing strategy … optimization Define and implement best practices in modelling, automation, and process improvements, ensuring the right tools and approaches are used for each problem. Effectively communicate complex insights to both technical and non-technical audiences, including senior executives, with a strong focus on commercial impact. Collaborate cross-functionally with product managers, engineers, and other stakeholders to align data science work More ❯

a scalable, tech-enabled platform that intercepts millions of unwanted items every year, transforming them from landfill-bound to re-loved by new owners. Responsibilities: Lead and deliver scalable statistical models and analyses that drive business decisions Own end-to-end delivery of data science projects, from identifying and integrating data sources to experimentation, model deployment, and pricing strategy … optimization Define and implement best practices in modelling, automation, and process improvements, ensuring the right tools and approaches are used for each problem. Effectively communicate complex insights to both technical and non-technical audiences, including senior executives, with a strong focus on commercial impact. Collaborate cross-functionally with product managers, engineers, and other stakeholders to align data science work More ❯

a scalable, tech-enabled platform that intercepts millions of unwanted items every year, transforming them from landfill-bound to re-loved by new owners. Responsibilities: Lead and deliver scalable statistical models and analyses that drive business decisions Own end-to-end delivery of data science projects, from identifying and integrating data sources to experimentation, model deployment, and pricing strategy … optimization Define and implement best practices in modelling, automation, and process improvements, ensuring the right tools and approaches are used for each problem. Effectively communicate complex insights to both technical and non-technical audiences, including senior executives, with a strong focus on commercial impact. Collaborate cross-functionally with product managers, engineers, and other stakeholders to align data science work More ❯

optimisation, automation, and user experience. • Drive sprint planning, delivery focus, and accountability across your teams, working closely with Product and Engineering counterparts. • Instill a strong experimentation mindset, including uplift modelling, A/B testing, and causal inference. • Ensure robust MLOps practices are in place for deployment, monitoring, and retraining. • Champion collaboration with Analytics Engineering and Data Platform teams to … including data scientists, machine learning engineers, and analytics professionals. • Leadership track record in fast-paced, delivery-driven environments, with clear planning, prioritisation, and execution skills. • Deep technical understanding of statistical modelling, ML methods, and experimentation design. • Experience deploying machine learning in production, ideally in a modern cloud environment with MLOps tools and frameworks. • Skilled in balancing hands-on More ❯

career the that of a 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 More ❯