151 to 175 of 195 Predictive Modelling Jobs in the UK

centralised data platform (GCP), enhance the Customer Data Platform (Twilio Segment), and drive insight-led decision-making across the business. You'll also play a key role in embedding predictive models like CLV and propensity scoring into core systems and processes. Were seeking a hands-on data leader with strong experience in cloud architecture, data governance, BI tooling (Power More ❯

integration and optimisation of cutting-edge systems. As a pivotal member of our Finance team, you will: Drive Strategic Initiatives : Analyse financial implications of transformation and diversification strategies, create predictive models, and support cash flow forecasting. Enhance Data Governance : Ensure data accuracy and compliance, conducting integrity checks to support audit readiness and regulatory standards. Collaborate Across Teams : Partner with More ❯

service that applies AI/ML to process high-volume, low-complexity workflows.You'll work on a modern AWS serverless platform, developing components for document analysis, signature detection, and predictive modelling. Collaboration with cross-functional teams is key to ensuring seamless integration with existing digital services. What You'll Need to Succeed Essential Skills Strong experience with OCR, NLP More ❯

that applies AI/ML to process high-volume, low-complexity workflows. You'll work on a modern AWS serverless platform, developing components for document analysis, signature detection, and predictive modelling. Collaboration with cross-functional teams is key to ensuring seamless integration with existing digital services. What You'll Need to Succeed Essential Skills Strong experience with OCR, NLP More ❯

Their high team retention speaks volumes about the supportive and engaging environment they've cultivated. THE ROLE: As a Principal Software Engineer, you'll be instrumental in developing sophisticated predictive models that forecast the outcomes of sporting events. You'll be working with strong quants coming from and statistics background, with a keen eye for problem-solving. You'll More ❯

back control of their health journeys. In this role you will: You'll be designing, implementing, and leading data science strategies that transform healthcare data into valuable insights and predictive models. Your work will directly impact 13.5 million patients across NHS and private healthcare services in the UK. You will be: Building and leading a team of data scientists … and analysts Developing predictive models to improve patient outcomes and operational efficiency Creating data pipelines and architectures to handle sensitive healthcare information securely Implementing machine learning solutions to personalize healthcare experiences Analyzing large datasets to identify trends and opportunities for service improvement Collaborating with product and engineering teams to integrate data insights into our platform Establishing data governance frameworks More ❯

will play a pivotal role in driving data-driven decision-making and shaping strategic initiatives. Your expertise will directly impact the organisation's ability to understand client behaviour, refine predictive models, and deliver actionable insights that influence key business outcomes. You will take on the responsibility of developing and optimising machine learning models, analysing complex datasets, and collaborating closely … will play a pivotal role in driving data-driven decision-making and shaping strategic initiatives. Your expertise will directly impact the organisation's ability to understand client behaviour, refine predictive models, and deliver actionable insights that influence key business outcomes. You will take on the responsibility of developing and optimising machine learning models, analysing complex datasets, and collaborating closely More ❯

Hybrid with occasional travel to a hub location Contract Type: Permanent Our Team The Model Risk and Analytics (MR&A) team work at the intersection of Data Science, Statistical Modelling and Economics, using data to support the business through model building or providing actionable insights from the data. We draw on statistical modelling techniques to produce the best … possible predictive models. As a Modelling Analyst within the IRB and Decisioning Analytics team, you'll help to secure the foundations of our business decisions by providing quantitative and qualitative analysis across our regulatory model suites, providing solutions to support the acquisition of new business, risk-based account management and manage the bank's capital across its Retail … in building trusted relationships with stakeholders. • Expertise in the use of statistical analysis software (e.g. SAS/SQL, Python, R) as well as MS Office.• An understanding of statistical modelling techniques such as hypothesis testing, probability distributions and regression. Red Hot Rewards • Generous holidays - 38.5 days annual leave (including bank holidays and prorated if Part–Time)?plus the option More ❯

be responsible for: Technical Delivery & Leadership : Leading the design and implementation of Oracle Analytics solutions (FDI, OAC, ODI) to meet client requirements. Architecting end-to-end solutions encompassing data modelling, ingestion, transformation, visualization, and predictive modelling. Designing and implementing data pipelines and integrations for diverse data sources. Developing and deploying machine learning models using OML, Oracle Data Science … Cloud (OAC) components, including Data Visualisation, Essbase, Data Preparation, and Data Flows. Proven experience in implementing Oracle Analytics or a similar role. Strong experience in data warehousing concepts, dimensional modelling, and ETL processes. Ability to translate and present technical information to a non-technical audience in a clear, concise, appropriate manner Ability to translate business requirements into technology solutions … analytical and problem-solving abilities. Oracle certifications in relevant technologies are highly desirable Qualified/Part-Qualified ACA/CIMA/ACCA (or equivalent) is advantageous Experience in Data Modelling Security Clearance or at least eligible to support activities in Public Sector Connect to your business - Technology and Transformation Distinctive thinking, deep expertise, innovation and collaborative working. That's More ❯

passionate about leveraging cutting-edge analytics and technology to drive meaningful change within Global Clinical Operations (GCO)? At GSK, we are accelerating drug development through advanced data science and predictive modeling. As the Head of Trial Analytics & Decision Support, you'll play a pivotal role in shaping the future of clinical operations, enabling faster, smarter, and more efficient delivery … programs and studies. Why You? Basic Qualifications Bachelor's degree in computer science, information technology, life sciences, or a related field. 10+ years of experience in advanced data science, predictive modeling, and analytics within a clinical or research setting. Experience with AI/ML, generative AI, and advanced analytics techniques. Proven expertise in clinical development processes, regulatory requirements, and More ❯

the fastest growing fintech companies in the UK, and are profitable, meaning they are undergoing rapid growth. THE ROLE You will be doing the following daily: Develop credit risk predictive ML models across their credit card portfolios. Mainly working across the companies scorecards. Enhancing the existing model suite, while gaining exposure to some pricing models. Work end-to-end … Work with a diverse range of leaders and stakeholders. Research new data sources to advise on costs/benefits of lending decisions. YOUR SKILLS AND EXPERIENCE Must have credit modelling experience, focusing on scorecards or predictive models. Previous experience in the credit/lending industry. Excellent analytical skills, with strong skills in Python, and SQL. Strong knowledge of More ❯

scientists and LLM use cases and Data Engineering with Graph DB experience and Vector DB experience. As a Data Scientist, you will be responsible for analysing large datasets, building predictive models, and extracting meaningful insights to drive informed decision-making. Key Responsibilities: * Analyse and pre-process large-scale time series datasets, identifying relevant variables and data cleansing requirements. * Develop … and implement advanced statistical models and machine learning algorithms to perform predictive analysis on time series data. * Build and validate forecasting models to predict future trends, patterns, and anomalies in time series data. * Collaborate with cross-functional teams to understand business requirements and translate them into actionable data science projects. * Communicate findings and insights effectively to stakeholders, presenting complex … concepts in a clear and concise manner. * Stay up to date with the latest advancements in time series analysis, statistical modelling, and machine learning techniques. * Collaborate with data engineers to optimize data pipelines and ensure efficient data processing for time series analysis. * Contribute to the development and improvement of data science methodologies, tools, and frameworks. Key Skills & Experience: * The More ❯

days a week from home as work permits. POSITION SUMMARY Infleqtion is recruiting a passionate and detail-driven Data Scientist to join our team, focusing on time series modelling and control systems. You'll be developing predictive algorithms, identifying dynamic patterns and anomalies, and building models that help automate decision-making in real-time systems involving quantum sensors. … on business needs, this role may perform a combination of some or all of the following duties. Design and implement robust time series models for forecasting, anomaly detection, and predictive maintenance. Collaborate with product and engineering teams to integrate predictive models into live quantum sensors. Evaluate performance of deployed models and develop tools/pipelines to continuously refine … Demonstrable experience in creating and developing Python libraries. Demonstrable experience designing, implementing and training machine learning models from scratch. Strong foundations in applied mathematics and physics, particularly in statistical modelling, systems dynamics and differential equations. Familiarity with software engineering best practices: version control (Git), code review workflows, unit testing, CI/CD pipelines. Experience writing clean, efficient, and modular More ❯

datasets, and other unstructured data. Your work will augment fundamental analysts, and help drive investment decisions. You will also work alongside quantitative researchers and portfolio managers to help build predictive models from alternative data for systematic strategies. Responsibilities Generate insights and identify trends from alternative datasets; Project key performance indicators (KPIs) for various public companies in the healthcare, energy … or industrial sectors; Work with other data scientists and quantitative researchers to identify and develop features useful for building predictive models; Present research to portfolio managers, investment teams, and other internal users; Stay abreast of alternative data developments and identify potential new data sources and vendors; Collaborate with engineering and data sourcing teams to vet data vendors, ensure data More ❯

spanning football, soccer, cricket, and major US sports like the NBA. As part of their elite trading team, you’ll harness advanced statistical techniques and machine learning to build predictive models that shape their trading strategies. In this role, you’ll drive revenue growth and develop mathematical models to predict the outcomes of sports events. Responsibilities: Utilise advanced statistical … techniques and machine learning to build predictive models that shape our trading strategies Develop predictive models for sports outcomes using advanced mathematical and statistical techniques. Analyse real-world sports data to uncover patterns and generate insights that inform trading strategies. Implement and optimise numerical methods to support robust, scalable model performance in live environments. Collaborate closely with fellow … researchers and developers in a fast-paced, science-driven team environment. Continuously innovate and improve modelling approaches to stay competitive in dynamic and data-rich sports markets. Requirements: MSc, PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a More ❯

spanning football, soccer, cricket, and major US sports like the NBA. As part of their elite trading team, you’ll harness advanced statistical techniques and machine learning to build predictive models that shape their trading strategies. In this role, you’ll drive revenue growth and develop mathematical models to predict the outcomes of sports events. Responsibilities: Utilise advanced statistical … techniques and machine learning to build predictive models that shape our trading strategies Develop predictive models for sports outcomes using advanced mathematical and statistical techniques. Analyse real-world sports data to uncover patterns and generate insights that inform trading strategies. Implement and optimise numerical methods to support robust, scalable model performance in live environments. Collaborate closely with fellow … researchers and developers in a fast-paced, science-driven team environment. Continuously innovate and improve modelling approaches to stay competitive in dynamic and data-rich sports markets. Requirements: MSc, PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a More ❯

Bank to list a few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with the pricing, retail and machine learning teams to provide … create solutions that leverage vast data assets and lead the development of bespoke machine-learning models to improve the underwriting performance of the Group. Key Responsibilities: Develop and test modelling improvements for pricing models, particularly in motor. These might include improvements in hyper-parameter tuning methods, model performance, model stability and feature explainability Be the technical lead in the … development of predictive models that solve business challenges through one-off analyses or bespoke modelling. Such work would include risk classification, such as area or vehicle classification, as well as predictive models for other business use cases such as conversion or retention Adapt known machine learning techniques such as GBMs to create solutions/models that are state More ❯

Bank to list a few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with the pricing, retail and machine learning teams to provide … create solutions that leverage vast data assets and lead the development of bespoke machine-learning models to improve the underwriting performance of the Group. Key Responsibilities: Develop and test modelling improvements for pricing models, particularly in motor. These might include improvements in hyper-parameter tuning methods, model performance, model stability and feature explainability Be the technical lead in the … development of predictive models that solve business challenges through one-off analyses or bespoke modelling. Such work would include risk classification, such as area or vehicle classification, as well as predictive models for other business use cases such as conversion or retention Adapt known machine learning techniques such as GBMs to create solutions/models that are state 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 (5 days … a week, with some 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/… 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 (5 days … a week, with some 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/… 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 ❯

lending; fintech experience is a strong plus. At least 12 months' experience managing or mentoring analysts, with a track record of leading high-performing teams. Proven ability to build predictive models and extract insights from large, complex datasets. Advanced proficiency in Python and SQL, including libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn. Skilled in developing and deploying … credit risk models, including scorecard thresholds, limit optimisation, and loss reduction. Experience with Monte Carlo simulations or Bayesian modelling (e.g., PyMC3) is a plus. Strong communication skills, with the ability to convey complex analysis to both technical and non-technical stakeholders. Strong commercial instincts. Familiarity with the German lending market or language is helpful but not essential. The salary More ❯

complex biological systems by integrating data about biochemical components and help design interventions that direct cellular states along desired trajectories. This includes working with quantitative "big data" and building predictive models to develop novel theories. Our ultimate goal is to contribute to improving human lives through better-informed treatments. Responsibilities: - Contribute to modeling, simulation, and analysis of mechanistic or … establishing design principles of rejuvenated cells. Collaborating with both experimental and computational scientists across Altos. Influence best practices in areas such as Bayesian optimization, causal inference, building and assessing predictive models, analyzing biological networks, and analysis and visualization of -omics data. Maintain documentation and keep up-to-date as needed. Contribute to software releases (e.g. via GitHub, PyPI, Anaconda More ❯

servicing. As a Data Scientist, you'll collaborate closely with cross-functional teams, including product management and engineering, to identify an integrate your findings into our operations and develop predictive models that enhance our business processes. This collaborative approach allows you to work on a variety of projects, ensuring that your contributions have a significant impact across the organisation. … trends in data science and the pet insurance industry. You'll have the opportunity to evaluate and implement new methodologies, tools, and frameworks to keep our data analysis and modelling processes at the cutting edge. Your responsibilities Manage data science projects across the business Leverage advanced statistical techniques and machine learning/AI models to identify patterns and trends … in data, providing insights to inform business strategy and decision-making. Develop predictive models to support decisions across multiple business areas, including marketing, sales, claims, retention, customer behavior, fraud detection, and customer servicing. Deploy machine learning models into production using AWS services, including SageMaker, S3, Feature Store, ensuring scalable, reliable, and monitored solutions that directly support key business processes. More ❯

highly scalable data management systems. Ensure systems meet business requirements and industry practices. Design, implement, automate and maintain large scale enterprise data ETL processes. Build high-performance algorithms, prototypes, predictive models and proof of concepts. Technical Skills Required: SQL (5+ years) Python (5+ years) Data Modelling, visualization - Tableau, micro strategy etc and integration tools : Azure data factory , airflow More ❯

and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Support the data science team by preparing data for prescriptive and predictive modelling. Knowledge and Experience 7+ years of experience as a Data Engineer or in a similar role Experience in managing a team of Data Engineers Experience with Data modelling More ❯