1 to 25 of 100 Permanent Predictive Modelling Jobs in the UK

largest private healthcare providers. As a start-up with Series A funding, their team of fewer than 50 dedicated professionals focuses on advanced analytics, predictive modelling, and the development of cutting-edge solutions to revolutionise the healthcare industry. Their mission is to leverage AI to improve health outcomes … of engineers. Proficiency in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of data science principles, predictive modelling, and advanced analytics. Excellent problem-solving skills and the ability to think critically and creatively. Experience in the healthcare industry is highly more »

to interpret data trends, patterns, and correlations, and communicate insights and recommendations to business stakeholders. • Utilize advanced machine learning and AI techniques to develop predictive models for improving business processes, customer experience, and operational efficiency. • Conduct exploratory data analysis to identify opportunities for data-driven decision-making and formulate more »

forecasting solutions, specifically focused on the European Power Markets. You will collaborate with cross-functional teams to design, implement, and optimize data pipelines and predictive models that inform trading decisions and enhance operational efficiency. JOB RESPONSIBILITIES: Market Data Analysis: Conduct comprehensive analysis of data related to the European Power more »

Hush to develop, maintain and draw insights from business intelligence solutions consisting of Google Big Query (Data warehouse), Domo (Visualisations), Snaplogic (ELT), and DBT (Modelling). Reporting into our Head of Technology, playing a critical role in our small Data Engineering team of 2, you’ll have the opportunity … Co-own customer data and insights in collaboration with the Marketing teams. Apply advanced statistical and machine learning techniques, including clustering, regression analysis, and predictive modelling, to extract deeper insights from customer data. Build predictive models to forecast customer behaviour, including sales trends, churn prediction, and lifetime … value projections. Utilise techniques like customer lifetime value (CLV) modelling and cohort analysis to provide a comprehensive view of customer behaviour. Champion a data-driven culture. THE PERSON Strong communication skills; able to articulate complex technical topics for non-technical colleagues to understand and report on data activity progress. more »

quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C++, Java, SQL) Familiarity with Big Data frameworks and more »

functionally to enable data-driven decision-making. Key Responsibilities - Champion data-driven decision-making agency-wide - Analyze large datasets to extract valuable insights - Develop predictive models for forecasting - Implement attribution tracking and modeling - Utilize big data tools like Google BigQuery - Create compelling data visualizations - Communicate insights to stakeholders - Develop more »

Engagement, which work closely together with clients to identify business opportunities and create new business value through improved data handling and analysis. Responsibilities: Build predictive models using machine-learning techniques that generate data-driven insights on modern data platforms (Spark, Hadoop and other map-reduce tools); Develop and productionalize more »

diverse business challenges. Responsibilities: Dive into extensive and intricate datasets to gain comprehensive insights Extract, interpret, and communicate findings effectively with the team Develop predictive models using statistical and machine learning methods Validate and refine models for accuracy and applicability Stay updated on industry trends and advances in data more »

This is a hybrid role based in the UK. The ideal candidate will have a strong background in data science, machine learning, and statistical modelling, with a proven track record of driving impactful business outcomes in the fintech space. As a Senior Data Scientist, you will lead complex projects … data collection and pre-processing to model deployment and performance monitoring. Ensure scalability, robustness, and reliability of data science solutions. 2. Advanced Analytics and Modelling: Utilise statistical and machine learning techniques to analyse large, complex datasets and derive actionable insights. Develop predictive models for credit scoring, fraud detection … programming languages such as Python, R, or Scala. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Strong knowledge of statistical modelling, data mining, and data visualization techniques. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure). Strong problem more »

growth and performance. Providingbusiness-wide data driven people insight, including conclusions and recommendations, to inform strategy and action. Supportingthe delivery of strategic workforce planning, modelling and forecasting, aligning business plans with capability needs, identifying workforce gaps and predicting future impacts. Help to build plans to mitigate risk to future … growth. Driving insights capability development, developing advanced and predictive analytics capability and building insights capability in HR. Working with HR Systems and Operations to develop and implement people data strategy, and ensure appropriate data governance, compliance and integrity controls are in place. Leading the Workforce Planning & Insights team. Qualifications … practical application of data analytics, visualisation and reporting using various tools. Experience in PowerBI and Alteryx is desirable First-hand knowledge and application of predictive modelling and statistical methods (such as R or Python) is desirable. Broad and deep technical understanding of different analytics, tools and metrics and more »

their development and coaching them to success. Key Responsibilities: Manage, develop, and coach Pricing Analysts and Senior Pricing Analysts. Develop, validate, review, and approve predictive and machine learning models. Deliver accurate datasets for modelling, pricing, and monitoring. Maintain pricing models and support their deployment. Conduct pricing analyses and … stakeholders. Manage the implementation of rate releases and review rates in live environments. Provide insights into current and future pricing performance using MI and modelling results. Coordinate pricing decisions and implementation across teams and decision-making bodies. Inform and influence senior management and heads of departments. Qualifications: Degree in … discipline or equivalent. Experience in insurance pricing or related analytical background. Proficiency in programming languages such as SAS, R, Matlab, or Python. Experience with predictive modelling techniques like Logistic Regression, Decision Trees, Random Forests, etc. Familiarity with Emblem and Radar. Strong communication skills to convey statistical concepts to more »

teams to ensure alignment with overall business strategy. Model Development: Development and enhancement of credit structuring models. Utilise quantitative and qualitative data to build predictive models that assess credit risk and inform decision-making. Stay abreast of industry best practices and technological advancements to continuously improve underwriting models. Pricing more »

the economy. Collaborate with product owners, marketing managers, UX/UI designers, analytics teams, data scientists, and development teams. Build and analyze simulations and predictive models to proactively forecast the results of changes to content. Requirements 4+ years’ experience in game economy design Bachelor’s Degree in Economics, Mathematics more »

processes, improve user experience, and drive growth in our marketplace platform. You will work closely with cross-functional teams to analyse large datasets, develop predictive models, and generate actionable insights that will drive business success. This role requires the use of the fundamental technical qualifications needed to thrive in … analysis and pricing strategies. Conduct exploratory data analysis to uncover patterns, trends, and correlations that inform product development and marketing initiatives. Build and deploy predictive models for demand forecasting, inventory management, and customer lifetime value prediction. Design and implement A/B tests and experimentation frameworks to evaluate the more »

Data environment. Skills & Experience: Proven track record for implementing models/scorecards. Highly organised and has experience in running projects. Highly competent with MSSQL Predictive modelling Machine learning Version Control, CI/CD, Python, Base SAS & Power BI (desirable) Package: £100,000 - £120,000 basic salary Bonus opportunity more »

Risk at the link below, risk.lexisnexis.com About our Team: You will part of a small team assisting the business with statistical analysis and building predictive models for credit, fraud, and identity risk. About the Role: We are looking for a Data Scientist to conduct statistical analysis and build predictive models for credit, fraud, and risk. The ideal candidate will have experience in data mining, statistical methods, and modelling/scoring techniques. They will balance day-to-day analytics assignments, research experiments and will contribute to the advancement of the global data science group. Responsibilities Building and testing … be used by existing and new customers Providing complex analytical results in clear, simple messaging to evidence the value provided by our products Following modelling best practices and provide feedback on ways to enhance current processes Providing technical support and be a resource to internal partners in Product, Technology more »

data-driven decision-making across various aspects of the business, from supply chain optimisation to consumer insights. This role involves analysing large datasets, developing predictive models, and providing actionable insights to improve their products and services. This is a fully remote role but you must be able to work … Key Responsibilities: Analyse large and complex datasets: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Develop, implement, and maintain predictive models Utilise machine learning algorithms to improve product recommendations and marketing strategies. Collaborate with IT and data engineering teams to ensure seamless data flow … and infrastructure support. Generate actionable insights for business improvements Key Skills: Proficient in Excel is absolutely essential here Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Previous experience of working on AI focused projects Fluency in a programming language (Python, C,C++, Java, SQL more »

return they will be looking to keep someone on long term. Experience required You need to have experience leading research and development of new predictive model for sports betting You should have a strong background within High Frequency Trading (HFT) You must have a deep understanding and interest within more »

requirements: Experience in pricing optimisation and demand forecasting. Analytical skills to transform complex data into actionable insights aligned with business KPIs. Strong statistical and modelling skills, including time series and ensemble models. Experience in manipulating and interpreting data from disparate sources. Proficient in Python coding and core data science … Scikit-learn etc. Experience with Cloud Computing (AWS, GCP, Azure) - Ideally in AWS. Creativity and innovative thinking to explore diverse data sources for improved predictive models. Desirable: Experience in a similar industry with limited capacity and variable demand. Ability to autonomously tackle complex problems with a solution-driven approach. more »

role is embedded within the business, partnering with researchers to design and build models in scalable code and implement them into a cutting-edge modelling and analytics infrastructure. The framework will feed the models huge volumes of alternative datasets and in doing so, accurately track and capitalize on the … Build production systems for implementing, trading, monitoring, and performance reporting of systematic investment strategies. Implementation of strategies into production level code. Apply statistical and predictive modeling techniques to process and analyze large data sets. Research and attribution of portfolio performance and driving factors. Conduct research and statistical analyses to more »

that internal and external guidance develops and maintains our pricing models and systems. As we transition to Python from Radar you will support the modelling team with the set-up and development of our new machine learning environment. This role is based in Bradley Stoke , working hybrid hours … days a week in the office and three days a week working from home. What you will do Statistical Modelling and Analysis Data Manipulation with SQL Presentation of MI, analysis and Insight to support decision making Research and apply new analytical and data science techniques Review alternative pricing initiatives … teams across RAC to further data science and analytical capabilities What you will need The successful candidate will have 1 - 2 years' experience building predictive models in a production environment using Python and be able to bring to life their previous experience on what and how they have created more »

informed choice making to improve the performance of the business Proactively working with business executives and various departmental heads to provide advanced analytic data modelling systems Designing and launching innovative and complex analytical models, utilising a blend of state-of-the-art and traditional machine learning techniques, which is … be considered) Educated to a degree level in relevant subject (computing, programming, mathematics, statistics, actuarial science, or another technical field) Highly skilled in statistical, modelling and scripting programming languages such as Python and R, or similar, as well as visualisation packages Expert in data management programming such as SQL … Experience bringing predictive models into a production environment Possess vast experience and expertise of working with probability and statistics, inclusive of machine learning, experimental design, and optimisation Experience using Gradient Boosting Machines, Random Forest, Neural Network or similar algorithms Proven and successful track record of leading high-performing data more »

bespoke market segmentations that can be actioned to support both strategy and audience planning supporting location investment projects such as store estate planning building predictive models to support more effective media activation The Senior Analytics Manager will manage the longer-term prioritisation of client facing analytical needs and opportunities more »

natural language processing, computer vision, and other AI technologies to drive innovation and competitive advantage. Lead the application of advanced analytics techniques, such as predictive modelling, machine learning, and statistical analysis, to derive actionable insights from service performance metrics and sales KPIs. Design and develop intuitive and interactive more »

Overall Objective: The Bioinformatician will be responsible for leveraging multi-omics data, with a focus on transcriptomics, proteomics and integrative omics, to build a predictive platform for safety assessment in drug development. They will play a crucial role in advancing our understanding of predictive safety markers and contributing … to the development of innovative predictive models. Responsibilities: Work closely with cross-functional teams to develop and implement computational strategies for analysing and integrating multi-omics data, with a specific focus on proteomics and other relevant omics datasets. Use statistical and machine learning approaches to identify predictive safety … markers and build robust predictive models for safety assessment in drug development. Contribute to the design and implementation of bioinformatics pipelines for processing, quality control, and analysis of multi-omics data. Collaborate with experimental scientists to interpret omics data in the context of safety assessment and provide actionable insights more »