ll Do Lead data science projects focused on pricing optimisation and revenue management. Manage and mentor a small international team of data scientists (UK and US based). Build statistical and machine learning models to enhance customer value and business outcomes. Develop and run rigorous experimentation frameworks (A/B, MAB, causal inference). Work cross-functionally with engineering … on pricing and revenue optimisation. Proven leadership in growing and mentoring data teams. Strong Python and SQL skills, with experience in cloud platforms such as Google Cloud. Expertise in statistical techniques such as GLMs, classification, survival models, forecasting, and optimisation. Hands-on experience with experimentation and causal inference. Strong MLOps knowledge and experience deploying models into production environments using More ❯
ll Do Lead data science projects focused on pricing optimisation and revenue management. Manage and mentor a small international team of data scientists (UK and US based). Build statistical and machine learning models to enhance customer value and business outcomes. Develop and run rigorous experimentation frameworks (A/B, MAB, causal inference). Work cross-functionally with engineering … on pricing and revenue optimisation. Proven leadership in growing and mentoring data teams. Strong Python and SQL skills, with experience in cloud platforms such as Google Cloud. Expertise in statistical techniques such as GLMs, classification, survival models, forecasting, and optimisation. Hands-on experience with experimentation and causal inference. Strong MLOps knowledge and experience deploying models into production environments using More ❯
experience working closely with GTM teams B.A./B.Sc. in Computer Science, Business Administration, Economics, Statistics or equivalent Experience in creating methods for monitoring the business and working with statistical models - an advantage Experience supporting client-facing departments or revenue/business operations teams - an advantage. Curious, proactive, ambitious, storyteller, loves solving complex problems and excited to help others More ❯
This Asset Risk Senior Modeller role sits in the Asset Risk Modelling Team, operating in a matrix way of working, responsible delivering a strong model risk management framework, and ensuring all forecast models are robustly implemented, operated, enhanced and developed in conjunction with joint ownership for the outcomes and outputs with business SME's. A growing Financial Services regulated … Modeller you will proactively support and inform the delivery of the Asset Risk strategy in alignment with the needs of the wider business strategy You will work with the Modelling Manager to oversee the operational delivery of the model risk management framework in Asset Risk, ensuring model health, reporting, processing, auditing and reporting requirements are met and provide steer … customer pricing, and economic capital You will maintain a deep understanding of, and be responsible for the challenging of, the model components - design principles, use of data, assumptions, applied statistical and modelling techniques - for the BAU models, helping to create and deliver the effective communication required to bridge the gap between the models and Asset Risk deliverables You More ❯
our Decision Science team within Risk. The Risk team plays a crucial role in Funding Circle. They ensure our borrowers and investors get what we promise, use data and modelling to provide insights to the rest of the business, control and monitor the risk within our processes ensuring that we always deliver and they help us make data driven … decisions to guide our strategy. Funding Circle's Decision Science team is hugely influential to our overall lending process. They build statistical models and use advanced quantitative techniques to enable many different teams across the organisation to optimise business and lending strategies. Who are we? We're Funding Circle. We back small businesses to succeed. At Funding Circle, we … meaningful, human support as well as fast, hassle free processes to deliver an unbeatable customer experience. The role Report to the Chief Credit Officer, advising on the use of statistical models and advanced quantitative techniques to optimise business performance Working across our UK business, you will collaborate with experts in risk management, technology, data management, marketing, business operations to More ❯
and iteration. You’ll bring a deep understanding of modern data science and machine learning techniques and know when to apply the right tools, whether that’s deep learning, statisticalmodelling, or classical ML methods. Your toolkit includes Python, SQL, and you're comfortable working in a cloud-first (AWS) ecosystem. Experience with object-oriented programming and packaging More ❯
collaborate with cross-functional teams to design, build, and implement data science solutions that directly feed into core product offerings. This is an exciting opportunity to apply ML and statistical techniques to real-world problems, while also developing in areas such as software engineering, data pipelines, and ethical product delivery. Key Responsibilities Collaborate with product teams to identify opportunities … maintain data pipelines to support experimentation and model development Develop and deploy machine learning models in production environments Present insights and results to technical and non-technical stakeholders Apply statistical methods and model validation techniques to reach accurate conclusions Work with data engineers to ensure clean, usable datasets Contribute to ethical, privacy-aware, and user-centric data products Stay More ❯
collaborate with cross-functional teams to design, build, and implement data science solutions that directly feed into core product offerings. This is an exciting opportunity to apply ML and statistical techniques to real-world problems, while also developing in areas such as software engineering, data pipelines, and ethical product delivery. Key Responsibilities Collaborate with product teams to identify opportunities … maintain data pipelines to support experimentation and model development Develop and deploy machine learning models in production environments Present insights and results to technical and non-technical stakeholders Apply statistical methods and model validation techniques to reach accurate conclusions Work with data engineers to ensure clean, usable datasets Contribute to ethical, privacy-aware, and user-centric data products Stay More ❯
or other adjacent OOP or multi-paradigm languages (C, C++, Java, Python etc.) Logical thinking, analytical skills and exception creative problem-solving abilities. Experience in using Excel to model statistical models, or similarly high level Excel experience. Ability to take responsibility for organizing work within a production schedule, managing files and meeting deadlines under their own initiative. Good oral More ❯
all of TradingHub's product offerings Research and development of broad models of market dynamics across multiple asset classes Prototyping, testing, and validation of TradingHub's proprietary mathematical/statistical models Use of in-house big data language for the large-scale pricing and analysis of security and risk data Implementation and optimisation of the core algorithms used by More ❯
Quantitative Analyst required by a sports trading company based in central London. The company have been established for more than 10 years, successfully developing statistical models and analytical frameworks. The successful Quantitative Analyst will work within the prediction team, using extensive datasets to enhance existing predictive models as well as researching new methods. The role will be working alongside … a team of Quants, Developers, and Analysts. Due to the nature of the business this is mainly an office-based role. Experience required: 3+ years' experience within predictive modelling, machine learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects More ❯
Quantitative Analyst required by a sports trading company based in central London. The company have been established for more than 10 years, successfully developing statistical models and analytical frameworks. The successful Quantitative Analyst will work within the prediction team, using extensive datasets to enhance existing predictive models as well as researching new methods. The role will be working alongside … a team of Quants, Developers, and Analysts. Due to the nature of the business this is mainly an office-based role. Experience required: 3+ years' experience within predictive modelling, machine learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects More ❯
The Business: This is not just another data consultancy—we're a team of curious minds using AI and statisticalmodelling to help organisations solve real-world problems and make smarter, faster decisions. Whether it’s uncovering insights from vast datasets or building predictive tools to shape future strategies, we believe data science should make a difference—a … Graduate to join our growing team and support the increasing demand for our analytical services. As a Data Science Graduate you’ll: Support the delivery of quantitative research and statistical analysis projects Learn and apply techniques such as conjoint analysis , MaxDiff , segmentation , and key drivers analysis Work alongside experienced data scientists and gradually take on more responsibility Deliver smaller … years of experience in data science or quantitative market research . You should: Be comfortable using and interpreting data to draw insights Have a basic understanding of key statistical techniques such as: Conjoint analysis MaxDiff Segmentation Linear or logistic regression Significance testing Be confident using Excel , PowerPoint , and Word Be open to learning tools such as: SPSS , Q , Sawtooth More ❯
The Business: This is not just another data consultancy—we're a team of curious minds using AI and statisticalmodelling to help organisations solve real-world problems and make smarter, faster decisions. Whether it’s uncovering insights from vast datasets or building predictive tools to shape future strategies, we believe data science should make a difference—a … Graduate to join our growing team and support the increasing demand for our analytical services. As a Data Science Graduate you’ll: Support the delivery of quantitative research and statistical analysis projects Learn and apply techniques such as conjoint analysis , MaxDiff , segmentation , and key drivers analysis Work alongside experienced data scientists and gradually take on more responsibility Deliver smaller … years of experience in data science or quantitative market research . You should: Be comfortable using and interpreting data to draw insights Have a basic understanding of key statistical techniques such as: Conjoint analysis MaxDiff Segmentation Linear or logistic regression Significance testing Be confident using Excel , PowerPoint , and Word Be open to learning tools such as: SPSS , Q , Sawtooth More ❯
take ownership of impactful data science initiatives from discovery to deployment. Key Responsibilities: Lead the development of ETL pipelines and data tooling to consolidate business insights Design and deploy statistical models that solve real business challenges Work closely with stakeholders across Sales, Marketing, Product and Engineering Integrate data science solutions into production environments and applications Monitor, report and improve … Significant experience as a Data Science Engineer (or similar senior data role) Expertise in ETL tooling and pipeline development (e.g. dbt, Metabase) Proficiency in Python or R for data modelling and analysis Experience working with cloud platforms (AWS, GCP or Azure) Track record of deploying and maintaining reliable data systems at scale Excellent communication skills and ability to translate More ❯
the quality of insights depends on the quality of the data. 10. You understand that models are only as good as their assumptions. You can critically assess epidemiological and statistical models, ensuring biases and confounders are accounted for. You’re comfortable with methodologies like propensity score matching, inverse probability weighting, and instrumental variable approaches. 11. You don’t just … and limitations of each data source. 14. You know when a real-world study is the answer—and when it’s not. You can identify when another approach (e.g., modelling, meta-analysis, or a new trial) is needed. 15. You believe in impact, not just publications. Publishing is great, and you’ve done it—but what excites you is More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Inovia Bio
the quality of insights depends on the quality of the data. 10. You understand that models are only as good as their assumptions. You can critically assess epidemiological and statistical models, ensuring biases and confounders are accounted for. You’re comfortable with methodologies like propensity score matching, inverse probability weighting, and instrumental variable approaches. 11. You don’t just … and limitations of each data source. 14. You know when a real-world study is the answer—and when it’s not. You can identify when another approach (e.g., modelling, meta-analysis, or a new trial) is needed. 15. You believe in impact, not just publications. Publishing is great, and you’ve done it—but what excites you is More ❯
text data, to generating high-value forecasts such as vessel destination, cargo onboard, ship-to-ship transfer detection, dark vessels, congestion, and future prices. The team has built procedural, statistical, and machine learning models that provide the most accurate and comprehensive view of energy flows. We pride ourselves on applying cutting-edge research to real-world problems in a More ❯
have - Degreelevel education in a subject along the lines of science, maths, economicsor engineering - Aworking knowledge of UK power markets and experience and understanding ofpower generation units - Solidexperience with statistical and fundamental modelling using IT techniquessuch as; SQL, Python, Excel, Business Intelligence tools (Power BI); andbe able to apply a pragmatic approach to large data structures. - Agood understanding More ❯
Solid experience with public cloud platforms, preferably using AWS . Experience of using a data driven and scientific approach to fact finding. Financial services knowledge. Experience using mathematical and statistical models to assess trends. Strong communication skills with the ability to proactively engage with a wide range of stakeholders. More ❯
that interact directly with exchanges, including automated RFQ pricing for options. Quantitative Problem-Solving: Work closely with traders to develop solutions for portfolio optimisation, large-scale data analysis, and statistical modelling. Market Structure & Trading Expertise: Apply your knowledge of market microstructure, volatility trading, options pricing, hedging, and Delta1 products (futures, ETFs, stocks, swaps). Ownership & Collaboration: Engage directly with … for building robust, high-performance trading systems. Low Latency Expertise - A strong understanding of optimizing for speed in trading environments. Quantitative Background - Hands-on experience with large data analysis, statistical techniques, and trading models. Trader-Facing Mindset - Ability to engage with the desk, understand business needs, and take ownership of algo development. Why Apply?: Work on greenfield algorithmic trading More ❯
Business, Geography) Good inter-personal skills and the ability to communicate technical results to non-technical individuals Experience in presenting reports and conclusions The ability to distil conclusions from statistical outputs Good understanding of Excel Good understanding of Microsoft PowerPoint Knowledge of, and interest in, the retail sector Ideally you will also have: Exposure to and/or appreciation … of GIS software and its applications Understanding of statisticalmodelling techniques Knowledge of BI dashboard tools such as PowerBI or Tableau We are committed to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual More ❯
Business, Geography) Good inter-personal skills and the ability to communicate technical results to non-technical individuals Experience in presenting reports and conclusions The ability to distil conclusions from statistical outputs Good understanding of Excel Good understanding of Microsoft PowerPoint Knowledge of, and interest in, the retail sector Ideally you will also have: Exposure to and/or appreciation … of GIS software and its applications Understanding of statisticalmodelling techniques Knowledge of BI dashboard tools such as PowerBI or Tableau We are committed to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual More ❯
Education sector subject knowledge to enable the development of student management software. Take the lead to provide best practice interactive data dashboards to assist internal stakeholders with forecasting, scenario modelling and driving improvements in performance Deliver a high-quality user experience by ensuring the business requirements and challenges are understood, that analysis and insights are actionable, and the output … review or Power BI and Excel reporting prior to live deployment About you: A good degree in a numerate subject or relevant Higher Education work experience Detailed knowledge of statistical techniques and data modelling Profound understanding of relational database architecture and querying methodologies. Experienced of handling and amalgamating diverse data-sets from various sources. Demonstrated expertise in T More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
Communicating technical work effectively to both technical and non-technical stakeholders Driving experimentation and growth-focused initiatives What We're Looking For Strong hands-on skills in Python and statisticalmodelling Experience leading small, high-performing data science teams Excellent communication and stakeholder management skills Experience in fast-paced, startup-style environments Proven ability to scope projects and More ❯
