1 to 25 of 33 Predictive Modelling Jobs in the North of England

and Web user behaviour, customer profiles and more to improve healthcare service delivery through digital means Conduct advanced statistical analyses, including hypothesis testing and predictive modelling Question and improve open current models and data definitions based on insights and findings Collaborate with data engineers and software developers to … with languages like SQL, Python Substantial experience with python libraries such as NumPy, Pandas, SciPy, scikit-learn Applied knowledge of machine learning/statistical modelling techniques Experience in using a tag management system like TealiumIQ Knowledge of software development life cycle processes and tools Familiar with product development and More ❯

visibility. Automate routine reporting to improve efficiency and ensure timely insights. Data Science/Analytics: Support and lead data analytics projects, including forecasting and predictive modelling. Work closely with the BI & Data Analytics Manager on strategic analytics initiatives. Data Reporting & Analysis: Analyse financial data to identify trends, risks, and … and results-focused; committed to data quality and able to perform in fast-paced environments. Analytical: Strong analytical skills with expertise in statistical analysis, predictive modelling, and interpreting complex data to deliver actionable insights. Communication: Clear and confident communicator with the ability to explain technical concepts to non … technical stakeholders and influence through data-driven insights. Technical: Proficient in Alteryx, Power BI, SAP Analytics Cloud; experienced with Snowflake and data modelling; familiarity with R and Python highly desirable. Financial Services: Experience working in a Finance firm, preferably Wealth Manager/Private Bank/Hedge Fund. Required Qualifications More ❯

commercial, product, and engineering, to build automated ML/AI solutions that will provide tangible benefits for Travel Counsellors. Principal Accountabilities Build and deploy predictive models for optimising pricing, personalised recommendations, and operational efficiencies. Collaborate with data and software engineers to operationalise ML models within our wider technology platform More ❯

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 … 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 … 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 More ❯

processes. Translating complex business logic and strategies into actionable data science solutions. Utilising a range of statistical methods and machine learning algorithms to develop predictive models and forecasting solutions. Deploying, monitoring and maintaining models in production using best practices in MLOps. Using Power BI or Python based visualisations to More ❯

variety of features to deal with different data types and meet the customer needs. Among our current challenges are building time series forecast engines, predictive models, enhance user's experience using AI/ML, big data text mining/analysis as well as statistical challenges and maintaining high algorithm More ❯

forecasting experience is required by a leading company in Manchester. As the Data Scientist, you will be responsible for defining & shaping of all financial modelling and forecasting to enhance decision making, deliver more targeted acquisition, and deliver profitable growth. Tools wise they are using SQL, Python & R, so you … this is an area that they want to move into, so something that will huge for them in the coming years Experience required Proven predictive modelling, forecasting and analytical experience with strong SQL, Python & R skills Some awareness of Machine Learning and the advantages of using machine learning … give a better ROI and help define the overall strategy Data Scientist Responsibilities Responsible for the definition, shaping and ongoing maintenance of all financial modelling and forecasting to enhance decision making, deliver more targeted acquisition and ultimately deliver profitable growth. Undertake specialised analysis to model historical data and provide More ❯

the continuous improvement of process. As a Senior Pricing Analyst, you will use your advanced analytical skills to: Conducting retail price optimisation analysis/modelling developing customer propensity and Life Time Value (LTV) models to produce the different models and SAS or SQL for data analysis Create innovative data … strategic changes to prices to meet budget requirements. Key Skills and Experience: Previous experience within general insurance pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science More ❯

Responsibilities for a Data Scientist Collaborate with stakeholders to identify business challenges and Utilize advanced analytics techniques to extract insights from complex datasets. Develop predictive models and algorithms to support decision-making. Implement data pipelines for data collection, processing, and analysis. Communicate findings and recommendations to non-technical stakeholders More ❯

and Snowflake Experience with budgeting, forecasting, and variance analysis in a corporate or technical setting Knowledge of statistical methods and machine learning techniques for predictive modelling Proficiency in creating and maintaining version-controlled documentation for methodologies and processes Familiarity with governance standards and process optimisation Excellent communication and More ❯

and Snowflake Experience with budgeting, forecasting, and variance analysis in a corporate or technical setting Knowledge of statistical methods and machine learning techniques for predictive modelling Proficiency in creating and maintaining version-controlled documentation for methodologies and processes Familiarity with governance standards and process optimisation Excellent communication and More ❯

led decisions across marketing, product, and customer success. Design and execute A/B tests to evaluate new initiatives and use statistical analysis and predictive models to forecast trends and identify growth opportunities. Skills & Experience Experienced Customer Insight or Marketing Analytics Specialist with a passion for insights Experience working More ❯

led decisions across marketing, product, and customer success. Design and execute A/B tests to evaluate new initiatives and use statistical analysis and predictive models to forecast trends and identify growth opportunities. Skills & Experience Experienced Customer Insight or Marketing Analytics Specialist with a passion for insights Experience working More ❯

pricing leaders and the wider business to achieve objectives, including improving risk selection, loss ratio, and growth Managing and developing analysts and senior analysts, modelling company values, and promoting a culture of continuous improvement and agility Pushing boundaries by building a pipeline of innovative pricing solutions, leveraging data science … and advanced modelling, and driving strategic changes in pricing and data-driven decision-making Exploiting opportunities to source internal and external datasets, particularly broker-specific assets, to enhance pricing models and minimize adverse risk selection Serving as a pricing subject matter expert, representing Pricing in key forums, and providing … to non-technical audiences Developing and maintaining pricing, data science, and analysis tools, driving advancements in sandbox environments Automating, streamlining, and documenting pricing and modelling processes to ensure efficiency and strong governance You should apply if you have... Excellent numerical and analytical skills with high attention to detail & accuracy More ❯

range of clients across financial services and utilities. The Role Joining a high-performing Decision Science team, your remit will involve end-to-end predictive modelling and analytics. You’ll play a vital role in shaping strategic decisions across the business. Key Responsibilities: Develop and optimise scorecards and … techniques Candidate Profile You’ll need either: A Master’s or PhD in a STEM subject or 1–2 years’ relevant experience in a modelling role within financial services Essential: Strong coding ability in Python Desirable: SQL proficiency Exposure to credit risk, collections, or pricing Knowledge of machine learning More ❯

role in risk model builds and refreshes across all product lines. Work closely with stakeholders across the business to ensure data used for risk modelling is consistent, efficient and suitable for modelling. Contribute to delivering our commercial objectives by continuing to build and maintain our risk pricing models efficiently … meeting expectations of key internal and external stakeholders. Key Skills and Experience: Previous experience within general insurance pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science More ❯

understanding of machine learning algorithms and experience creating stochastic models Knowledge of UK and/or European energy markets, particularly energy flexibility Experience building predictive models using a range of data sources (internal and external) Familiarity with how heating systems behave and are controlled - especially air-to-water heat More ❯

a modern North West HQ. Modern Tech Stack: Get hands-on with Power BI, Microsoft Fabric, Python (PySpark), and SQL. High-Impact Projects: From predictive analytics to performance optimisation, your work will drive measurable results across retail, supply chain, and beyond. Why This Role? Strategic Influence: Your insights will … . Modern Tech Stack: Get hands-on with Power BI, Microsoft Fabric, Python (PySpark), and SQL-no legacy reporting here. High-Impact Projects: From predictive analytics to performance optimisation, your work will drive measurable results across retail, supply chain, and beyond. Join a business that's investing heavily in … becoming the go-to person for data-led decision making. Turn complex datasets into clear, actionable stories that drive performance. Lead deep-dive investigations, predictive modelling, and innovative analytics projects. Present directly to senior stakeholders-your voice will be heard. Spot opportunities others miss-help shape strategy, not More ❯

a modern North West HQ. Modern Tech Stack: Get hands-on with Power BI, Microsoft Fabric, Python (PySpark), and SQL. High-Impact Projects: From predictive analytics to performance optimisation, your work will drive measurable results across retail, supply chain, and beyond. Why This Role? Strategic Influence: Your insights will … . Modern Tech Stack: Get hands-on with Power BI, Microsoft Fabric, Python (PySpark), and SQL-no legacy reporting here. High-Impact Projects: From predictive analytics to performance optimisation, your work will drive measurable results across retail, supply chain, and beyond. Join a business that's investing heavily in … becoming the go-to person for data-led decision making. Turn complex datasets into clear, actionable stories that drive performance. Lead deep-dive investigations, predictive modelling, and innovative analytics projects. Present directly to senior stakeholders-your voice will be heard. Spot opportunities others miss-help shape strategy, not More ❯

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 … 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 More ❯

within the cannabis industry. What You'll Bring: You have 3-5 years of experience in data science, specializing in time series forecasting and predictive modeling You have a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field You have … frameworks You have hands-on experience with leading time series forecasting techniques, including Prophet, ARIMA, and LSTM, enabling you to uncover trends and drive predictive insights You are familiar with big data tools and cloud platforms, including Azure, Snowflake, Hex, and dbt You have strong analytical, problem-solving, and More ❯

of SQL, data warehousing concepts, and database management. ETL Processes: Experience with Extract, Transform, Load (ETL) processes (e.g. SSIS, AWS Glue, DBT). Data Modelling: Ability to create and manage data models. Data Analysis: Advanced data analysis and modelling skills, including statistical analysis and predictive modelling. Modern More ❯

a Data Scientist, you'll be at the heart of data-driven decision-making. You'll help build and maintain scalable data pipelines, design predictive models, and turn complex datasets into meaningful insights for the business. This role offers a balance of technical depth, creative problem-solving, and cross … uncovering insights that drive business outcomes. Key Responsibilities Develop and maintain robust data pipelines to support analytics and machine learning initiatives. Build and deploy predictive models using statistical methods and ML algorithms. Ensure high data quality through validation, monitoring, and automated checks. Translate business needs into clear analytical approaches More ❯

where data will directly drive content strategy, monetisation, and organisational direction. The Role As Head of Data Science & Analytics , you will architect and deliver predictive modelling and analytics strategies to enhance audience engagement and optimise revenue streams. You will lead a growing team specialising in digital analytics, revenue … engineers across multiple analytics domains. Define, implement, and evangelise best practices across product, digital, revenue, and audience analytics. Oversee the design and deployment of predictive and statistical models, with particular emphasis on inventory management, customer behaviour analysis, and campaign optimisation. Build reusable frameworks for experimentation, dynamic pricing, and targeted … of 8 years’ experience in data science, analytics, or insight leadership roles. Expertise in SQL, A/B testing methodologies, and building statistical or predictive models. Proven success leading cross-functional teams within product, content, or commercial analytics environments. Strong stakeholder management capabilities, particularly in fast-paced, dynamic organisations. More ❯

guidance to clients across various industries to improve the availability and reliability of their assets and systems. Your role will involve conducting in-depth predictive modelling and reliability assessments to identify improvement opportunities and to meet stringent availability design targets. You'll work closely with clients to develop … and implement data-driven solutions, drawing on industry best practices and reliability engineering methodologies such as FMEA, Reliability and Availability Modelling, and Fault Tree analysis. This position requires strong communication skills, adaptability, and a focus on delivering high quality deliverables. Key Responsibilities Interrogate Process Flow Diagrams (PFDs) and electrical More ❯