1 to 25 of 29 Statistical Modelling Jobs in the City of London

us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose of the role As a Data Scientist within the Modelling & Data Engineering department, you will play a key role in the design, development, and implementation of predictive models that power our sports forecasting products. You will work collaboratively within … a sport-specific team to develop robust, scalable models, contribute to the research and development of new modelling methodologies, and ensure our forecasts remain accurate, low-latency, and aligned with client demands. You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve modelling … someone with a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale sports datasets using sound mathematical and statistical principles. Translate More ❯

us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose of the role As a Data Scientist within the Modelling & Data Engineering department, you will play a key role in the design, development, and implementation of predictive models that power our sports forecasting products. You will work collaboratively within … a sport-specific team to develop robust, scalable models, contribute to the research and development of new modelling methodologies, and ensure our forecasts remain accurate, low-latency, and aligned with client demands. You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve modelling … someone with a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale sports datasets using sound mathematical and statistical principles. Translate 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 ❯

EV, energy, or mobility sectors is an advantage). Strong technical skills in SQL, Python/R, and data visualization tools (e.g. Power BI, Tableau, Looker). Experience with statistical modeling, forecasting, or machine learning preferred. Ability to communicate complex data clearly and drive actionable business outcomes. Entrepreneurial mindset, with ambition to grow into leadership and potentially CTO responsibilities. More ❯

EV, energy, or mobility sectors is an advantage). Strong technical skills in SQL, Python/R, and data visualization tools (e.g. Power BI, Tableau, Looker). Experience with statistical modeling, forecasting, or machine learning preferred. Ability to communicate complex data clearly and drive actionable business outcomes. Entrepreneurial mindset, with ambition to grow into leadership and potentially CTO responsibilities. More ❯

the opportunity of working in a growing team, and who loves sport. Responsibilities: Lead data science workstreams on client projects, managing analysts and collaborating with consultants Develop and deploy statistical models and core IP Build reusable tools to streamline analysis and visualisation Communicate insights clearly to all audiences Mentor junior team members and support capability growth Work with engineers More ❯

the opportunity of working in a growing team, and who loves sport. Responsibilities: Lead data science workstreams on client projects, managing analysts and collaborating with consultants Develop and deploy statistical models and core IP Build reusable tools to streamline analysis and visualisation Communicate insights clearly to all audiences Mentor junior team members and support capability growth Work with engineers More ❯

that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Conduct rigorous A/B testing and performance measurement to validate impact Act … to lead data science projects from concept to production Strong Python skills (including libraries like Pandas, NumPy, Scikit-learn); experience with other languages is a plus Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Experience with A/B testing and causal inference … and a collaborative mindset Example Projects You Might Work On Optimisation models to increase manufacturing throughput Predictive models for asset maintenance and downtime reduction Customer churn prediction and retention modelling Sales optimisation through next-best-action models Geospatial analysis to inform store or facility network decisions 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 ❯

that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Conduct rigorous A/B testing and performance measurement to validate impact Act … measurable impact, not just model accuracy. Requirements: Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative More ❯

that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Conduct rigorous A/B testing and performance measurement to validate impact Act … measurable impact, not just model accuracy. Requirements: Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative More ❯

a fast-paced, high-growth startup environment with shifting priorities. Preferred Qualifications Experience with mobile consumer apps and/or subscription business models . Basic proficiency in Python for statistical or predictive modeling. Familiarity with mobile UA platforms (Meta, Google Ads, AppLovin, Apple Search Ads, TikTok). Background in consumer behavior analytics and retention modeling. Knowledge of advanced methods More ❯

a fast-paced, high-growth startup environment with shifting priorities. Preferred Qualifications Experience with mobile consumer apps and/or subscription business models . Basic proficiency in Python for statistical or predictive modeling. Familiarity with mobile UA platforms (Meta, Google Ads, AppLovin, Apple Search Ads, TikTok). Background in consumer behavior analytics and retention modeling. Knowledge of advanced methods More ❯

understanding, working with advanced AI technologies to create impactful data driven applications. Responsibilities Partner with enterprise clients to understand requirements and design tailored AI and data science solutions Apply statistical modelling, machine learning, and programming expertise to solve complex problems Explore and implement modern AI technologies including large language models, retrieval augmented generation, and advanced automation tools Deliver More ❯

understanding, working with advanced AI technologies to create impactful data driven applications. Responsibilities Partner with enterprise clients to understand requirements and design tailored AI and data science solutions Apply statistical modelling, machine learning, and programming expertise to solve complex problems Explore and implement modern AI technologies including large language models, retrieval augmented generation, and advanced automation tools Deliver More ❯

model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statistical analysis on model performance across various benchmarks and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing user … to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to drive innovation. Your analytical rigor will be critical to advancing Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of experience … Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large-scale More ❯

model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statistical analysis on model performance across various benchmarks and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing user … to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to drive innovation. Your analytical rigor will be critical to advancing Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of experience … Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large-scale More ❯

core of the challenge is to ideate and deliver a complete portfolio and exposure management capability that leverages Ki's data, algorithm and internal expertise. The product will use statistical modelling techniques, visualisation and workflows to deliver a real time view of Ki's exposure to various natural and non-natural catastrophes across the entirety of our book. … You will be expected to work with the different functions within Ki including Underwriting, Marketing, Operations, Exposure Management and Portfolio Management. You will also need to be comfortable with modelling methodologies and data structures to help make trade-offs and consider options when building the roadmap. Principal Accountabilities: Articulate longer term product direction: Set out the strategic and technical … You’ve applied both theory and practical experience to effectively deliver products, building a versatile toolkit adaptable to diverse situations. You are comfortable talking and understanding technical architecture and statistical techniques, in addition to working directly with customers on how to use the product. You have a strong track record of taking products from concept to successful outcomes, with More ❯

estate firms understand and act on physical climate risk. You’ll define the ML strategy, shape a high-impact team, and deliver real-world innovation across generative AI, geospatial modelling, and time-series forecasting. Key Responsibilities Own and evolve the company’s AI & ML strategy in line with product and customer priorities Lead, mentor, and grow a high-performing … team of ML Engineers Take prototypes through to production, delivering meaningful product features powered by GenAI and predictive modelling Collaborate with Science and Engineering to integrate ML with physics-based climate models Communicate complex technical concepts in simple, outcome-oriented terms for customers and cross-functional teams Your work will focus on delivering high-value insights and solutions, including … Leveraging satellite imagery and remote sensing for climate hazard detection Enhancing time-series forecasts to inform asset-level risk planning Combining simulation outputs with ML for hybrid physical + statistical modelling What We’re Looking For Proven leadership and strong hands on experience Proven track record of deploying ML into production environments Depth in at least one of More ❯

complex ideas to both technical and non-technical stakeholders. Technical Prowess: You have a strong command of quantitative trading principles and are proficient with relevant technologies. Deep knowledge of statistical modelling, machine learning techniques, and time series analysis. Hands-on experience with back-testing frameworks and simulation environments. A strong understanding of various market data APIs, trading protocols 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 ❯

time. Key Responsibilities: Design, research, and implement systematic trading strategies across global equities, futures, FX, or other liquid asset classes Conduct high-quality alpha signal research using alternative data, statistical techniques, and machine learning when appropriate Develop and test robust portfolio construction, execution, and risk management models Collaborate closely with data engineering and infrastructure teams to enhance research platform … research or trading at a hedge fund, proprietary trading firm, or top-tier investment bank Proven track record of alpha generation or contribution to profitable strategies Deep understanding of statistical modeling, time-series analysis, and/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or More ❯

time. Key Responsibilities: Design, research, and implement systematic trading strategies across global equities, futures, FX, or other liquid asset classes Conduct high-quality alpha signal research using alternative data, statistical techniques, and machine learning when appropriate Develop and test robust portfolio construction, execution, and risk management models Collaborate closely with data engineering and infrastructure teams to enhance research platform … research or trading at a hedge fund, proprietary trading firm, or top-tier investment bank Proven track record of alpha generation or contribution to profitable strategies Deep understanding of statistical modeling, time-series analysis, and/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or More ❯

company This cutting-edge data science firm is driving transformation in life sciences through methodological excellence and innovation. Its research division is a hub for scientific exploration, where novel statistical techniques are developed to tackle some of the most pressing challenges in genomics and drug discovery. The organisation values intellectual curiosity, cross-disciplinary collaboration, and the pursuit of rigorous … reproducible science.They are looking for a Lead Data Scientist with a strong statistical methodology background to join their expanding team. Your new role As Lead Data Scientist, you will be a driving force behind the creation of new statistical methodologies. You will: Lead the development of original statistical models tailored to complex genomic data Guide the integration … that can be fully home based from anywhere in the UK. What you'll need to succeed A PhD (or equivalent experience) in statistics, maths, physics, data science, computing, statistical genetics or a related field with a strong methodological focus A track record of developing statistical models for genomic/biological research, preferably within a target identification or More ❯

Scientist – Loss Modelling (Physical Risk from Weather and Climate) London – Hybrid Up to £80,000 About the Role Our client is building global-scale models to assess the physical risks of climate change and is looking for a Scientist with expertise in applied statistics and physical loss modelling. This role is ideal for someone experienced in natural catastrophe modelling … with a focus on estimating asset vulnerabilities. Calibrate and validate models using a wide range of qualitative and quantitative data sources. Contribute to building a robust and adaptable loss modelling framework. Document methodologies and communicate scientific insights to stakeholders, clients, and at industry events and conferences. What We’re Looking For Experience building and calibrating statistical/mathematical … similar language. Excellent communication skills, able to explain complex concepts to non-technical audiences. A self-starter who thrives in a fast-paced R&D environment. Experience in catastrophe modelling, especially around exposure and vulnerability. Applied statistical skills such as Bayesian statistics, uncertainty quantification, or Extreme Value Theory. Knowledge of machine learning applications in climate risk. Familiarity with More ❯