176 to 200 of 383 Predictive Modelling Jobs in the UK excluding London

we are looking for you to demonstrate include: Strong programming skills in R and Python. A well-rounded data science skill set including the ability to build/maintain predictive models and explain model processes/outputs. Ability to communicate effectively with a wide range of stakeholders and build strong business relationships as a trusted partner. Ability to deal … building and/or fine-tuning transformer-based AI models. Experience of managing the demands and various stakeholders within a highly matrixed business environment. Ability to build/maintain predictive models and explain model processes/outputs. PHD level qualification or equivalent Sound like the role you have been looking for? The apply today to find out more! Equality 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. Skills: Ability to work as part of a team, as well as work independently or with minimal direction. Excellent written, presentation, and verbal communication More ❯

This is still a largely hands on role, with around 20% team leadership. What You’ll Do Oversee data science projects, guide junior team members, and drive innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use machine learning and statistical techniques to analyse trends More ❯

diverse sources and formats. Work closely with analytics, product, and client teams to turn data requirements into scalable solutions. Support the development of data products including dashboards, APIs, and predictive models. Enable automation and operational efficiencies through data tooling and scripted workflows. Contribute to continuous improvement of our internal standards, development processes, and client delivery playbooks. Participate in sprint More ❯

that supports your wellbeing and personal growth. What We’re Looking For: 3+ years of experience in data science, machine learning, or applied AI roles. Strong background in statistics, predictive modeling, and advanced machine learning techniques. Proven ability to lead end-to-end AI projects—from data exploration and model development to deployment and evaluation. Expert-level proficiency in More ❯

issues. We excel at fair lending and have revolutionized the industry through digital innovations. We believe great products start with a deep understanding of our customers. Our use of predictive modeling to personalize credit card offers has transformed the industry. Our data-driven decision heritage and human-centered approach enable us to design innovative financial experiences. We are building More ❯

Data Science: Oversee the design, development, and implementation of advanced analytics models and algorithms to solve complex business problems. Ensure the accuracy, reliability, and validity of data insights and predictive models. Enable effective collaborate with cross-functional teams to identify opportunities for leveraging data to drive business growth and efficiency. Understanding customer behaviour and preferences to drive strategies, provides More ❯

purchase, reconnection, and litigation services. The Role Perch Group are looking for a decision scientist to design and optimize data-driven solutions that support machine learning, statistical analysis, and predictive modelling. You’ll work closely with a team of analysts and the investment team to create high-quality, scalable data models that fuel AI-driven decision-making. This business More ❯

and taking care of our planet. Join us and help shape the future of agriculture. Job Description At Syngenta Crop Protection, there has been significant focus and investment in predictive science and digital transformation, revolutionizing research and development for sustainable food production. We have recently developed PRIME, a cutting-edge predictive modelling platform, and we are seeking … a talented individual to lead its success. As the Modelling Platform Science Lead, you will provide strategic direction, guide technical and scientific governance, and bridge the gap between the R&D expert modelling community and R&D IT. Your role involves supporting diverse modelling communities across R&D, identifying new opportunities for model deployment at scale, and … overall success of the platform, providing strategic direction and guiding technical and scientific governance aspects. If you are passionate about science and innovation, with expertise in data science and predictive modelling, join us and become part of a dynamic network of data science practitioners contributing to the success of our organisation. What are we looking for? Background in More ❯

UK-based function within the Audio Division , acting as a strategic partner across digital, revenue, and marketing. You'll help shape the organisation’s data vision while leading on predictive modelling, experimentation, and insight delivery at scale. 🧩 What you’ll be doing: Build and lead a team of data scientists, analysts, and BI engineers Own the strategy for … how data is used to drive growth, engagement, and commercial outcomes Deliver predictive models to optimise audience targeting, content strategy, and advertising revenue Develop analytics products and tooling to support multiple business units Act as a key point of contact for European stakeholders and cross-functional teams Translate complex data into actionable insight for both technical and non-technical … audiences 🔍 Key skills & experience: Strong expertise in SQL and Python Proven experience building and deploying statistical and predictive models Experience leading high-performing data science or advanced analytics teams Track record of influencing strategy through data Engaging, collaborative, and able to lead with clarity and confidence HOW TO APPLY Please register your interest by sending your CV to Lauren More ❯

UK-based function within the Audio Division , acting as a strategic partner across digital, revenue, and marketing. You'll help shape the organisation’s data vision while leading on predictive modelling, experimentation, and insight delivery at scale. ? What you’ll be doing: Build and lead a team of data scientists, analysts, and BI engineers Own the strategy for … how data is used to drive growth, engagement, and commercial outcomes Deliver predictive models to optimise audience targeting, content strategy, and advertising revenue Develop analytics products and tooling to support multiple business units Act as a key point of contact for European stakeholders and cross-functional teams Translate complex data into actionable insight for both technical and non-technical … audiences Strong expertise in SQL and Python Proven experience building and deploying statistical and predictive models Experience leading high-performing data science or advanced analytics teams Track record of influencing strategy through data Engaging, collaborative, and able to lead with clarity and confidence HOW TO APPLY Please register your interest by sending your CV to Lauren McAlister via the More ❯

investments and ambitious growth plans, they are looking for a Data Scientist to join the team. The Role: Analyse behavioural datasets to uncover insights and patterns. Design and train predictive models based on user interactions, decision flows, and sequences. Apply machine learning and deep learning techniques to simulate and anticipate behaviour. Collaborate with the wider AI/ML engineers … and team. Develop and implement scalable data pipelines and experimentation frameworks. Translate business and product questions into data-driven solutions. Stay on top of emerging trends in behavioural modelling, reinforcement learning, and cognitive AI. What we are looking for: 2+ years of experience in data science or machine learning roles. Strong knowledge of behaviour biometrics or sensor-based or … time series data. Solid Python skills (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch). Experience with time-series data or sensor-based or behavioural biometric data, and sequential modelling (e.g., LSTMs, Transformers). Comfortable working with SQL and data visualisation tools. Startup mindset: entrepreneurial, independent, adaptable, and collaborative. Seniority level Mid-Senior level Employment type Full-time Job function More ❯

bespoke intelligence to enhance player recruitment. We are looking for individuals who will lead our most challenging R&D projects and provide technical leadership on our data science and modelling capabilities. Role Responsibilities Lead advanced research projects to enhance our analytical capabilities, evolving football analytics in the professional game i.e. On and Off Ball Value, Scanning Metrics from Pose … Data Lead the development and implementation of cutting-edge predictive models, machine learning and deep learning algorithms, and statistical techniques (e.g. Markov chain & Bayesian Inference). Enhanced feature development through biomechanical and physics-based modelling Provide leadership in designing and implementing robust R&D infrastructure, ensuring scalability, security, and efficiency in handling large volumes of data. Other Responsibilities … analytics Led R&D and data science projects from ideation to model deployment at scale. Required Technical Skills Essential High-Level proficiency in using Python for feature development and modelling Confident in working with large 2D tracking and desirably “Pose” estimation datasets Proficient football literacy and able to discuss the game at a technical level for development of football More ❯

Customer Data Scientists to help unlock deeper audience insights, optimise engagement, and drive smarter decision-making across their Audio Division . 🔍 What you’ll be doing: Build and deploy predictive models to understand customer behaviour, loyalty, and segmentation Analyse user journeys across digital and audio platforms to improve engagement Support optimisation of ad inventory and revenue through data-driven … influence business strategy 🛠️ What you’ll need: Proficiency in SQL and Python Strong experience in product or customer analytics Hands-on with A/B testing , experimentation, and uplift modelling Excellent problem-solving skills and the ability to turn complex data into clear insight Experience in media, gambling, or digital B2C industries is a plus Comfortable working cross-functionally More ❯

Customer Data Scientists to help unlock deeper audience insights, optimise engagement, and drive smarter decision-making across their Audio Division . ? What you’ll be doing: Build and deploy predictive models to understand customer behaviour, loyalty, and segmentation Analyse user journeys across digital and audio platforms to improve engagement Support optimisation of ad inventory and revenue through data-driven … influence business strategy ?️ What you’ll need: Proficiency in SQL and Python Strong experience in product or customer analytics Hands-on with A/B testing , experimentation, and uplift modelling Excellent problem-solving skills and the ability to turn complex data into clear insight Experience in media, gambling, or digital B2C industries is a plus Comfortable working cross-functionally More ❯

Customer Data Scientists to help unlock deeper audience insights, optimise engagement, and drive smarter decision-making across their Audio Division . ? What you’ll be doing: Build and deploy predictive models to understand customer behaviour, loyalty, and segmentation Analyse user journeys across digital and audio platforms to improve engagement Support optimisation of ad inventory and revenue through data-driven … influence business strategy ?️ What you’ll need: Proficiency in SQL and Python Strong experience in product or customer analytics Hands-on with A/B testing , experimentation, and uplift modelling Excellent problem-solving skills and the ability to turn complex data into clear insight Experience in media, gambling, or digital B2C industries is a plus Comfortable working cross-functionally More ❯

Learn and own the end-to-end research process, from survey design to cleaning & structuring raw data, to final report delivery. Analyse large data sets, applying statistical techniques and predictive modelling to uncover patterns in consumer behaviour. Transform complex data into compelling stories that drive clear business recommendations. Build & deliver client-ready reports and presentations, ensuring they are More ❯

HiRes-Soils: Robotic platforms for high-resolution maps of soil carbon and GHG emissions’ , funded by the Innovate UK agency. Responsibilities Data Acquisition and Integration: Integrate data from APIs. Predictive Modeling Analytics Spatial Analysis Qualifications and experience Degree in (but not exclusively) Computer Science or Engineering (Mechanical or Electrical) or Agricultural Engineering. Professionally proficient in English (written and spoken … Programming Skills: Proficient in Python, with experience in libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and others relevant to data science and analytics. Data Science Expertise: Background in predictive modeling, machine learning, and statistical analysis. API Integration: Experience in working with APIs for data retrieval and integration. Ability and willingness to adapt to varying physical objects of development. More ❯

IR35 A Private Equity firm are seeking a Machine Learning Engineer to join on an initial 6-month contract to assist in the firms portfolio optimisation, risk management, and predictive modelling. You will be working alongside them through one of our consultancy partners who have recently won the bid for the project. The end point client operate primarily in … an Azure environment hence demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction and analysis from financial reports, news, and alternative data sources to support investment More ❯

IR35 A Private Equity firm are seeking a Machine Learning Engineer to join on an initial 6-month contract to assist in the firms portfolio optimisation, risk management, and predictive modelling. You will be working alongside them through one of our consultancy partners who have recently won the bid for the project. The end point client operate primarily in … an Azure environment hence demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction and analysis from financial reports, news, and alternative data sources to support investment More ❯

IR35 A Private Equity firm are seeking a Machine Learning Engineer to join on an initial 6-month contract to assist in the firms portfolio optimisation, risk management, and predictive modelling. You will be working alongside them through one of our consultancy partners who have recently won the bid for the project. The end point client operate primarily in … an Azure environment hence demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction and analysis from financial reports, news, and alternative data sources to support investment More ❯

IR35 A Private Equity firm are seeking a Machine Learning Engineer to join on an initial 6-month contract to assist in the firms portfolio optimisation, risk management, and predictive modelling. You will be working alongside them through one of our consultancy partners who have recently won the bid for the project. The end point client operate primarily in … an Azure environment hence demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction and analysis from financial reports, news, and alternative data sources to support investment More ❯

IR35 A Private Equity firm are seeking a Machine Learning Engineer to join on an initial 6-month contract to assist in the firms portfolio optimisation, risk management, and predictive modelling. You will be working alongside them through one of our consultancy partners who have recently won the bid for the project. The end point client operate primarily in … an Azure environment hence demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction and analysis from financial reports, news, and alternative data sources to support investment More ❯

IR35 A Private Equity firm are seeking a Machine Learning Engineer to join on an initial 6-month contract to assist in the firms portfolio optimisation, risk management, and predictive modelling. You will be working alongside them through one of our consultancy partners who have recently won the bid for the project. The end point client operate primarily in … an Azure environment hence demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction and analysis from financial reports, news, and alternative data sources to support investment More ❯

IR35 A Private Equity firm are seeking a Machine Learning Engineer to join on an initial 6-month contract to assist in the firms portfolio optimisation, risk management, and predictive modelling. You will be working alongside them through one of our consultancy partners who have recently won the bid for the project. The end point client operate primarily in … an Azure environment hence demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction and analysis from financial reports, news, and alternative data sources to support investment More ❯