51 to 75 of 381 Predictive Modelling Jobs in the UK excluding London

We have an exciting opportunity for an experienced Lead Data Scientist to join our business as we continue to scale. The Lead Data Scientist will drive the development of predictive models and data-driven decision-making for energy technology applications. They will play a key role in analysing system performance, optimizing operations, and integrating machine learning techniques into energy More ❯

as survival analysis, machine learning, meta-analysis, mixed-effects modeling, Bayesian methods, and variable selection techniques. Proficiency in R and Python, with experience in data visualization, exploratory analysis, and predictive modeling. Excellent communication skills, both verbal and written. Ability to develop clear presentations for decision-making meetings. Why Novartis Helping people with diseases and their families requires more than More ❯

generate personalised recommendations for customers. You’ll help retailers predict which products will sell best in different regions or during different seasons, allowing for more efficient stock management. Building predictive models using real-time retail data, such as sales trends, customer behaviour, and external factors (e.g., social media sentiment or weather patterns). These models will help businesses optimise More ❯

licence and own car. We are hiring a Credit Risk Analyst/Data Scientist to join a collaborative and innovative team that is shaping the future of credit risk modelling and forecasting. This is a fantastic opportunity to work closely with experienced professionals and gain hands on experience in predictive modelling, loss forecasting, and machine learning, all … within a growing, tech enabled financial services organisation. The Role You will be part of a small, high impact data science team responsible for: Developing predictive models such as scorecards and machine learning models for customer acquisitions and collections Supporting loss forecasting for both new business and the existing portfolio Exploring new data sources and modelling techniques to … subject such as Mathematics, Statistics, Data Science, Economics, or Physics 1 to 2 years of experience in a Financial data driven environment, or strong academic project experience Familiarity with modelling techniques like logistic regression or basic machine learning A keen interest in data science and its applications in finance or risk Strong attention to detail and a problem solving More ❯

on shaping our pricing models. As a Pricing Analyst, you will use your advanced analytical skills to: Monitor our portfolio and deliver innovative pricing solutions, Use a blend of predictive analytics and commercial acumen to distil key trends and identify pricing actions, Contribute to the profitability of the products by meeting loss ratio targets and protecting capacity providers’ financial … results by balancing product volume and profitability The Pricing portfolio management team is responsible for developing new modelling techniques and processes and building and refreshing the risk models that underpin our rates that need to operate effectively in the aggregator channels. Key Responsibilities: Support the design, development and implementation of a robust and innovative performance monitoring framework Contribute to … impact analytics. Work closely with the Underwriting team on risk appetite, product development and innovation supporting progression by providing performance and market analytical insight. Work closely with the Technical Modelling team on peril risk cost models ensuring product performance dynamics are suitably captured and fed back in technical models. Contribute to delivery of the pricing roadmap in line with More ❯

on shaping our pricing models. As a Pricing Analyst, you will use your advanced analytical skills to: Monitor our portfolio and deliver innovative pricing solutions, Use a blend of predictive analytics and commercial acumen to distil key trends and identify pricing actions, Contribute to the profitability of the products by meeting loss ratio targets and protecting capacity providers' financial … results by balancing product volume and profitability The Pricing portfolio management team is responsible for developing new modelling techniques and processes and building and refreshing the risk models that underpin our rates that need to operate effectively in the aggregator channels. Key Responsibilities: Support the design, development and implementation of a robust and innovative performance monitoring framework Contribute to … impact analytics. Work closely with the Underwriting team on risk appetite, product development and innovation supporting progression by providing performance and market analytical insight. Work closely with the Technical Modelling team on peril risk cost models ensuring product performance dynamics are suitably captured and fed back in technical models. Contribute to delivery of the pricing roadmap in line with More ❯

existing products and develop new modules. About the role: ML-driven features in our core wastewater network platform focusing on predicting sewer behaviour. You will work within the Data & Modelling team with a focus on improving our existing ML processes, aiming to understand behaviour in the water network and designing and integrating new data-driven strategies into existing products … will involve: Exploratory data analysis and visualisation Conceptualising solutions and presenting to internal stakeholders and external customers Integration of solutions into the product You'll work within the Data & Modelling team of 8-10 people but have ownership over individual projects, while also working within the larger development team to test and validate any features, fixes or updates. You … predict and prevent real-time events, reducing harm to the environment. This is a pragmatic and delivery-focused role in the use of data, analytics, and ML to deliver predictive outcomes for StormHarvester customers as part of our product. This will involve working with customer data, understanding and appreciating the underlying domain, carrying out analysis, and integrating or developing More ❯

to have skills, but optional: Knowledge of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines, developing talent and internal capability Develop data assets … keeping abreast of upcoming change, or areas for improvement Grow the impact of Data Science across the Group, increase the number of deployed solutions, identify previously unexplored areas of modelling or analysis Role model best practice, with focuses on efficiency and long term success Monitor the latest techniques and solutions being utilised in the wider industry Maintain departmental risk … Values and guidelines and other relevant standards/regulations at all times. Any other reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical models (eg GBMs, GLMs, clustering More ❯

to have skills, but optional: Knowledge of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines, developing talent and internal capability Develop data assets … keeping abreast of upcoming change, or areas for improvement Grow the impact of Data Science across the Group, increase the number of deployed solutions, identify previously unexplored areas of modelling or analysis Role model best practice, with focuses on efficiency and long term success Monitor the latest techniques and solutions being utilised in the wider industry Maintain departmental risk … Values and guidelines and other relevant standards/regulations at all times. Any other reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical models (eg GBMs, GLMs, clustering More ❯

have an amazing opportunity for a Senior Data Scientist to join our amazing team here at Virgin Media O2. You'll play a major part in designing and implementing predictive models along with conducting detailed data exploration to improve business value & growth through the application of data science techniques. These predictive models created will feed critical business infrastructure … machine learning skills with direct impact on business objectives. You will work as part of a high-performing data science and insight team with ownership of models and the modelling process in the wider modelling eco-system. To be successful in this role, you'll be experienced in running and leading a team, but also hands-on and … passionate about building the latest machine learning predictive models. You will also want to drive the end of goal of each project to ensure the application of each model is efficient for current business objectives. You'll also have strong skills in data manipulation which will enable you to navigate and leverage our significant data assets to build the More ❯

a key role in driving innovation and pricing best practice, and act as a trusted expert across the business. The Pricing portfolio management team is responsible for developing new modelling techniques and processes and building and refreshing the risk models that underpin our rates that need to operate effectively in the aggregator channels. Key Responsibilities Lead the design and … tactical pricing initiatives and optimise pricing opportunities through robust analytical insights Provide strategic oversight of pricing recommendations that improve portfolio performance and meet profitability targets Collaborate with Underwriting, Technical Modelling, and Data teams to inform product development, technical model calibration, and risk cost feedback loops Manage stakeholder relationships across the business, ensuring clear communication of analytical insight and pricing … roadmap in line with our long-term strategy and growth objectives Key Skills And Experience Substantial experience within Personal Lines Pricing, ideally including team or project leadership Proficiency in predictive modelling techniques such as Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, and Clustering Strong skills in R, Python, PySpark, SAS, or SQL More ❯

complex business challenges, designing scientific solutions, working large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or statistical modelling techniques to derive insights ??Work collaboratively with data scientists, data engineers and other technical people including pricing teams in order to help support maturation of analytics practice within the … the task. ??Familiarity with version control and other IT delivery tools is required ??Understanding/identifying opportunity to apply machine learning knowledge to solve business problems ??Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target audience ??Exceptional written communications skills More ❯

the direction of data-driven decision-making across the organisation. Key responsibilities for the Data Scientist – Analyse large volumes of structured and unstructured data to extract meaningful insights. Develop predictive models and machine learning algorithms to support business goals. Build and deploy data science solutions into production environments. Work closely with software engineers and data engineers to ensure end … Proven experience in a commercial Data Science role. Strong proficiency in Python (including libraries like pandas, scikit-learn, TensorFlow or PyTorch). Solid understanding of machine learning algorithms, data modelling, and statistical analysis. Hands-on experience working with large datasets and data wrangling techniques. Familiarity with cloud-based environments, particularly AWS. Comfortable with SQL and working with relational and More ❯

Agile methodologies to deliver data science developments, and actively participating in hiring to build a robust data science team. The role may involve expertise in either machine learning (e.g., predictive modelling, classification, anomaly detection) or mathematical optimisation (e.g., scheduling, resource allocation, route optimisation). Candidates with a strong background in one area and interest in the other are … in SQL (any variation). Experience using Python to extract, manipulate, and summarize data from large databases. Proven expertise in managing teams that develop and deploy complex descriptive and predictive algorithms. Working knowledge of statistical techniques (e.g., time series analysis, multivariate analysis, forecasting) and/or mathematical optimisation methods (e.g., linear programming, constraint programming, heuristic approaches). Experience working More ❯

Agile methodologies to deliver data science developments, and actively participating in hiring to build a robust data science team. The role may involve expertise in either machine learning (e.g., predictive modelling, classification, anomaly detection) or mathematical optimisation (e.g., scheduling, resource allocation, route optimisation). Candidates with a strong background in one area and interest in the other are … in SQL (any variation). Experience using Python to extract, manipulate, and summarize data from large databases. Proven expertise in managing teams that develop and deploy complex descriptive and predictive algorithms. Working knowledge of statistical techniques (e.g., time series analysis, multivariate analysis, forecasting) and/or mathematical optimisation methods (e.g., linear programming, constraint programming, heuristic approaches). Experience working More ❯

Agile methodologies to deliver data science developments, and actively participating in hiring to build a robust data science team. The role may involve expertise in either machine learning (e.g., predictive modelling, classification, anomaly detection) or mathematical optimisation (e.g., scheduling, resource allocation, route optimisation). Candidates with a strong background in one area and interest in the other are … in SQL (any variation). Experience using Python to extract, manipulate, and summarize data from large databases. Proven expertise in managing teams that develop and deploy complex descriptive and predictive algorithms. Working knowledge of statistical techniques (e.g., time series analysis, multivariate analysis, forecasting) and/or mathematical optimisation methods (e.g., linear programming, constraint programming, heuristic approaches). Experience working More ❯

/Tableau/Looker, Google Analytics/Adobe Analytics). Proven experience leading projects in the marketing/ecommerce sector, with a strong understanding of customer lifetime metrics, cohort modelling, and performance marketing reporting. Ability to quantify the incremental uplift of partners’ marketing campaigns. Strong communication and presentation skills, with the ability to engage both technical and non-technical … members and leading projects independently. Proficiency in Python and Google Colab for advanced data processing. Experience with process mining technologies such as Celonis. Familiarity with AI-driven analytics and predictive modelling. Background in online grocery, retail, or logistics analytics. Willingness to travel internationally to meet OSP partners. What do I get in return: 30 Day ‘work from anywhere’ policy More ❯

deployment of AI/ML-based tools. Strong command over Python and major ML frameworks such as Keras, PyTorch, TensorFlow, or Scikit-Learn. Extensive experience in building and implementing predictive models to design biological sequences and/or analyse biological sequence data (DNA, RNA or protein). Strong ability to communicate complex technical concepts effectively and collaborate closely with More ❯

the media and content space. Some key responsibilities of the role: Analyse large, complex datasets related to audience behaviour, website behaviour, content consumption, and engagement trends. Build and deploy predictive models using machine learning and time series algorithms to drive business decisions. Partner with Marketing, Sales, Product, and Engineering teams to shape data solutions and support product innovation. Run More ❯

technical delivery, working at the intersection of data, analytics, operations and business strategy. You'll lead a team of analysts while actively contributing to complex data projects, from building predictive models to delivering executive-level insights that shape our business strategy. What you ll do Team Leadership & Development • Lead and develop a team of data analysts, setting priorities and More ❯

technical delivery, working at the intersection of data, analytics, operations and business strategy. You'll lead a team of analysts while actively contributing to complex data projects, from building predictive models to delivering executive-level insights that shape our business strategy. What you’ll do Team Leadership & Development • Lead and develop a team of data analysts, setting priorities and More ❯

deep data insights to COG, regional EMEA Leadership, local claims clusters/countries heads, and SLT. Your work will range from analyzing claims trends and KPIs to developing sophisticated predictive models and management recommendations. While basic data generation is handled offshore, advanced data interpretation and KPI trend analysis are conducted onshore, close to our business leaders. Key Responsibilities: Lead More ❯

pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Analyst Expectations More ❯

based lakehouse implementation . Experience with machine learning (ML) and AI frameworks, particularly within Databricks (e.g., MLflow, AutoML, or PyTorch/TensorFlow). Understanding of AI-driven analytics and predictive modeling to enhance BI solutions. Think you can make a difference? WE ARE your future. More details: Full time, permanent role Competitive salary Hybrid working (3 days office/ More ❯

based lakehouse implementation . Experience with machine learning (ML) and AI frameworks, particularly within Databricks (e.g., MLflow, AutoML, or PyTorch/TensorFlow). Understanding of AI-driven analytics and predictive modeling to enhance BI solutions. Think you can make a difference? WE ARE your future. Full time, permanent role Hybrid working (3 office/2 home) Digicare+ Provided by More ❯