26 to 50 of 53 Predictive Modelling Jobs in London

self-serve analytics using tools like Airflow, dbt and Looker.\ N\n\nPractically used + applied AI/machine learning techniques and built predictive models to get deeper insights\ N\n\nKnowledge of the FinTech ecosystem\ N\n\nAdditional Information\ NWhat do we offer: \ N\n\nSalary ...

self-serve analytics using tools like Airflow, dbt and Looker.\ N\n\nPractically used + applied AI/machine learning techniques and built predictive models to get deeper insights\ N\n\nKnowledge of the FinTech ecosystem\ N\n\nAdditional Information\ NWhat do we offer: \ N\n\nSalary ...

real-time market data to trading infrastructure, where speed and reliability are fundamental requirements Building integrated environments where quantitative researchers develop, test, and deploy predictive models - from feature engineering through execution Architecting cloud-based simulation and experimentation platforms that support large-scale quantitative research without becoming a bottleneck Standing ...

decade pioneering scientific advances in this domain. Despite the complexity, successful outcomes are immediate and unambiguous. Responsibilities Lead and conduct original research on predictive models, novel data sets, risk management, and portfolio optimization Develop a rich understanding of Voleon's domain, challenges, and methodologies Define the research agenda ...

/ML Expertise: Deep subject‐matter expertise in applying modern AI/ML techniques to solve real‐world business problems. Experience with NLP, predictive modeling, or generative AI is highly desirable, especially in the context of Capital Markets. Domain Knowledge: A strong understanding of core banking, financial technology ...

/ML Expertise:** Deep subject matter expertise in applying modern AI/ML techniques to solve real-world business problems. Experience with NLP, predictive modeling, or generative AI is highly desirable, especially in the context of Capital Markets.* **Domain Knowledge:** A strong understanding of core banking, financial technology ...

Working closely within the data team and collaborating with insight teams and customer success managers, you will develop advanced analytical solutions, forecasting methodologies and predictive models that enhance Lumina’s data products and consultancy offering. By exploring opportunities within complex datasets, you’ll uncover emerging trends and deliver meaningful … insights from Lumina's proprietary datasets Translating complex analytical findings into compelling narratives, recommendations and presentations through effective storytelling Designing and implementing forecasting and predictive models that support client decision-making and product development Partnering with Insight, Research and Commercial teams to answer high-value business questions Building scalable ...

organisation within the insurance market, is looking for an experienced Data Science Lead to support a large-scale modernisation programme, delivering commercial analytics and predictive pricing capabilities. You'll be a great fit for this role if: You have delivered insurance pricing models and have experience building commercial analytics … predictive modelling solutions You have General Insurance or London Market experience You have experience with HX Renew/Hyperexponential (highly desirable) You have strong Python expertise, alongside experience with Spark, R and modern data science tooling You have strong stakeholder management skills and proven experience leading data science ...

organisation within the insurance market, is looking for an experienced Data Science Lead to support a large-scale modernisation programme, delivering commercial analytics and predictive pricing capabilities. You'll be a great fit for this role if: You have delivered insurance pricing models and have experience building commercial analytics … predictive modelling solutions You have General Insurance or London Market experience You have experience with HX Renew/Hyperexponential (highly desirable) You have strong Python expertise, alongside experience with Spark, R and modern data science tooling You have strong stakeholder management skills and proven experience leading data science ...

engineering challenges. The role requires a PhD and over 4 years of experience in data-driven roles. You will collaborate with engineers to develop predictive models, communicate effectively across teams, and contribute to the company’s innovation efforts. The position offers a hybrid working model and a range ...

built for scale. The Senior Data Scientist joining now will shape how that capability is built. You'll be setting the technical direction for modelling, owning the most complex problems, and connecting business outcomes to what actually gets built. Responsibilities as a Senior Data Scientist: • Build and deploy predictive models and advanced analytics solutions for high-value use cases • Define the features, datasets and structures required for modelling, working closely with the Lead Data Modeller and Data Engineering teams • Translate business problems into clear analytical approaches, challenging poorly defined requests and driving clarity on outcomes • Communicate trade ...

growth activity to invest (Marketing Mix Models) and how to reduce the uncertainty on marketing measurement \n \n \nYou will do this by developing predictive models to calculate Customer Lifetime Value (LTV), aiding in the prioritization of marketing efforts and resource allocation. \n \n \nYou will model customer behaviour ...

what growth activity to invest (Marketing Mix Models) and how to reduce the uncertainty on marketing measurement\ N\n\nYou willdo this by developing predictive models to calculate Customer Lifetime Value (LTV), aiding in the prioritization of marketing efforts and resource allocation.\ N\n\nYou willmodel customer behaviour data ...

other BI tools. Partner with business teams to understand data needs and translate them into technical designs. Exposure to pricing frameworks, financial modelling, or actuarial concepts. Understanding of regression models, forecasting techniques, or predictive models. Ability Ability to partner with modelling teams to support data prep … model deployment. Experience in pricing, modelling, actuarial data, or financial analytics. Exposure to Python, R, or SQL-based analytical workload Your Skills: 5–10+ years of hands-on SAS programming experience. Advanced skills in: Base SAS SAS Macros SAS SQL Data Step programming SAS Enterprise Guide or SAS Studio ...

elevate campaign management for client facing teams. As an AI/ML Engineer, you will be responsible for researching, designing, building, and automating predictive models, as well as establishing metrics to monitor model performance and accuracy. You bring strong communication and analytical skills, work effectively both independently and within … code, and you are capable of implementing a wide range of data extraction, transformation, and storage methodologies. Your expertise enables you to develop new predictive models while also enhancing and optimizing existing ones. In this role, you will break down complex requirements into structured, actionable tasks. As part ...

business and technical expertise. Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions Package, summarize, visualize and perform storytelling on analytical findings and results for management … team. Good communication and presentation and visualisation skills. Strong experience in a related analytical role Proven track record of designing and developing predictive models in real-world applications Experience with model performance evaluation and predictive model optimization for accuracy and efficiency Cloud certification strongly preferred Additional role-based ...

enabled offerings. Deliver best‐in‐class data science and AI capability reviews, helping clients assess maturity, identify opportunities, and design practical AI roadmaps. Build predictive models, analytical tools, and data products using a wide range of machine learning, statistical, and data science techniques across structured and unstructured data. Leverage … orchestration AI evaluation frameworks Neuro symbolic frameworks Experience with major cloud platforms such as Azure or AWS Strong understanding of machine learning and statistical modelling principles, with the ability to explain model behaviour, assumptions, and trade offs Experience working with real world structured and unstructured data, and building robust ...

Lead Data Scientist We are seeking an experienced Lead Data Scientist to join a high-impact team developing predictive analytics and data products within a regulated financial services environment. Location - London Contract – Inside IR35 Working Pattern - Hybrid Skills & Experience This role will focus on transforming large-scale customer datasets … into robust, auditable predictive models, supporting forecasting, risk analysis and commercial data products. Key skills & experience Strong Python (Pandas, NumPy, Scikit-learn) and SQL skills. Experience with Snowflake or similar cloud data platforms. Proven track record building predictive models in regulated financial services environments. Credit risk modelling ...

driven environment where your work will directly influence commercial outcomes. You will be given real ownership from day one, working on impactful pricing and modelling challenges while receiving structured support to accelerate your development. The Company They are a fast-growing European business operating at the intersection of data … complex problems. The Role You will join a specialist pricing and underwriting team, applying advanced analytics to drive business performance. Key responsibilities include: Developing predictive models to improve pricing strategies and risk assessment Analysing complex datasets to identify trends, opportunities, and insights Exploring new data sources to enhance model ...

role in delivering advanced analytics and data science solutions, helping to turn complex datasets into actionable insights. Key responsibilities include: Developing and deploying predictive models and statistical analysis Working with large, complex datasets to identify trends and insights Collaborating with data engineers and stakeholders to shape data solutions Supporting … Data Scientist in complex or regulated environments Strong skills in Python (or similar) and data science libraries Experience with machine learning, statistical modelling and data analysis Ability to communicate technical findings to non-technical stakeholders Experience in public sector or government environments is highly desirable What's on Offer ...

rare opportunity to apply Bayesian statistics, machine learning and scientific computing to genuinely complex, real-world challenges across sustainable industry, molecular discovery, optimisation and predictive modelling. This is not a generic machine learning role and its not another business building around off-the-shelf AI. This organisation has built … intersection of research and commercial impact, this is a role worth exploring. The Data Scientist Opportunity As a Data Scientist, youll work on advanced modelling and scientific computing projects that combine Bayesian inference, probabilistic modelling and machine learning with practical commercial applications. Youll contribute to both client-facing ...

rare opportunity to apply Bayesian statistics, machine learning and scientific computing to genuinely complex, real-world challenges across sustainable industry, molecular discovery, optimisation and predictive modelling. This is not a generic machine learning role — and it’s not another business building around off-the-shelf AI. This organisation … research and commercial impact, this is a role worth exploring. The Data Scientist Opportunity As a Data Scientist, you’ll work on advanced modelling and scientific computing projects that combine Bayesian inference, probabilistic modelling and machine learning with practical commercial applications. You’ll contribute to both client-facing ...

Graduate Data Scientist, you will work on models that sit at the core of the business and support key commercial decisions. Develop predictive models across pricing, risk, and customer acquisition Build clustering and segmentation models to support strategic decision-making Analyse large and complex datasets to uncover actionable insights … Collaborate with analysts and engineers to deploy and productionise models Contribute to a greenfield modelling environment and help shape best practices Take ownership of projects with visibility across the wider business Your Skills and Experience Strong academic background in a STEM subject such as Mathematics, Data Science, Computer Science ...

thinking and people leadership to shape the insurer's future risk capability. You'll likely bring: Extensive experience within insurance pricing, data science, catastrophe modelling, geospatial analytics or related risk functions. Strong household insurance experience. A track record of delivering predictive models, pricing features or data products into ...

Your Role as Data Scientist You'll work directly with our Founding Engineer (ex-Meta infrastructure) and the founders to build the data and modelling foundation at the core of Zendo's platform. You will own the full data lifecycle — from raw data centre data through to the predictive … Looking For MS or higher in statistics or machine learning, or equivalent experience (3-5 years in the industry). Experience building and evaluating predictive models — you care about accuracy and know how to measure it properly. Strong time-series background — you've worked with high-frequency, real-world ...