1 to 25 of 30 Permanent Predictive Modelling Jobs in the North of England

to communicate technical findings to non-technical stakeholders. Preferred: Experience with cloud data platforms (e.g., AWS Redshift, Google BigQuery, Snowflake). Familiarity with A/B testing, forecasting, and predictive modelling techniques. Experience in eCommerce as well as Finance and Healthcare industries. This fantastic new role is to be based in the companys office in Liverpool city centre More ❯

senior leadership in a collaborative environment. This position sits within a growing Analytics and Insights team of four, focusing on the technical side of customer data analysis including statistical modelling, machine learning models, and data visualisation tools such as Power BI. You will manage extensive survey programmes, including over 1,000 customer surveys annually and transactional surveys, ensuring compliance … data-driven service improvements. Key Responsibilities: Design and manage comprehensive customer survey programmes, ensuring statistical robustness and regulatory compliance with TSM requirements Process and analyse large datasets using statistical modelling techniques and machine learning approaches to uncover meaningful customer insights Translate complex data into clear, actionable insights for business stakeholders Create compelling presentations and visual reports, demonstrating strong storytelling … models, enabling the business to better understand different tenant groups and tailor services accordingly Work closely with the Analytics and Insights team to contribute to strategic decision-making through predictive modelling and trend analysis Essential Requirements: Translate data and present findings with strong storytelling abilities, capable of simplifying complex analysis into actionable business insights Demonstrate strong presentation skills More ❯

insights. What you’ll be doing Work with Marketing, Digital, and Commercial teams to ensure analytics drive decision making. Optimise omni-channel campaigns (web, email, social, SEO) through analytics, predictive modelling, and segmentation. Analyse web and app performance, user journeys, and conversion trends. Support B2B analytics to understand and grow the value of partner relationships. Design models and More ❯

insights. What you’ll be doing Work with Marketing, Digital, and Commercial teams to ensure analytics drive decision making. Optimise omni-channel campaigns (web, email, social, SEO) through analytics, predictive modelling, and segmentation. Analyse web and app performance, user journeys, and conversion trends. Support B2B analytics to understand and grow the value of partner relationships. Design models and More ❯

Own customer insight and spot opportunities others miss Work directly with senior leaders—from C-suite down Connect online and offline data to build a full customer picture Support predictive modelling with the data science team Build dashboards in Power BI to help teams self-serve Present insights in a clear, engaging way that drives action Champion a More ❯

Location: Newcastle upon Tyne Job Type: Full-time Salary: Starting at £26,000 per annum Day-to-Day of the Role Conduct analysis of pricing and competitiveness. Engage in predictive modelling to assess changes in risk and profitability based on pricing strategies. Manage projects from data extraction through to trend analysis and the final written report. Perform cost … graduate in a scientific or analytical subject such as Maths, Economics, Biology, Chemistry, Statistics, etc., with at least a 2:1 grade. A keen interest in data analytics/modelling and a desire to build a career in this field. Strong organisational and communication skills, with the ability to work effectively in a fast-paced environment. Ability to meet More ❯

Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private … and mentor junior machine learning engineers and share best practices Key Skills and Experience: Previous experience in tuning and deploying machine learning methods 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 DevOps and Azure ML, or other MLOps and ML More ❯

Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private … and mentor junior machine learning engineers and share best practices Key Skills and Experience: Previous experience in tuning and deploying machine learning methods 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 DevOps and Azure ML, or other MLOps and ML More ❯

giving Markerstudy a critical advantage in the increasingly competitive insurance market. Key Responsibilities: Maintain and improve the pricing process to meet business requirements, including; Development of market leading behavioural modelling using a combination of traditional & data science techniques Improve sophistication within the optimisation of Markerstudy's direct brands Support delivery of pricing & underwriting business plan across Motor & Home portfolios … Experience: Experience managing general insurance products and/or pricing teams, including knowledge of current trends and issues in motor or home 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. Knowledge of the technical differences between different packages for some of More ❯

base spread across numerous industry verticals in the water, wastewater & energy sectors, amongst others. Drive customer and stakeholder satisfaction through proactive understanding of client business requirements, translating them into modelling solutions. This role is primarily customer-facing . Lead and attend workshop sessions with business stakeholders from time to time to determine business requirements for end-use cases to … Sciences, or a STEM related field. Essential Skills & Experience Proficiency in utilising advanced analytics and Data Science techniques for decision-making purposes, in particular statistical analysis, forecasting and other predictive modelling, and optimisation algorithms. Familiarity with Microsoft Excel, and basic knowledge of other tools and techniques such as MS SQL Server, Python, R, linear programming, and other optimisation … wastewater processes, combined sewer overflow systems, and associated operational challenges. Knowledge of regulatory requirements and industry best practices in wastewater management. Demonstrated ability to conduct comprehensive scenario analysis, optimisation modelling, and investment planning, with a keen understanding of the interplay between technical, economic, and environmental factors. Personal Characteristics A passion for using technology and quantitative analysis to drive real More ❯

base spread across numerous industry verticals in the water, wastewater & energy sectors, amongst others. Drive customer and stakeholder satisfaction through proactive understanding of client business requirements, translating them into modelling solutions. This role is primarily customer-facing . Lead and attend workshop sessions with business stakeholders from time to time to determine business requirements for end-use cases to … Sciences, or a STEM related field. Essential Skills & Experience Proficiency in utilising advanced analytics and Data Science techniques for decision-making purposes, in particular statistical analysis, forecasting and other predictive modelling, and optimisation algorithms. Familiarity with Microsoft Excel, and basic knowledge of other tools and techniques such as MS SQL Server, Python, R, linear programming, and other optimisation … wastewater processes, combined sewer overflow systems, and associated operational challenges. Knowledge of regulatory requirements and industry best practices in wastewater management. Demonstrated ability to conduct comprehensive scenario analysis, optimisation modelling, and investment planning, with a keen understanding of the interplay between technical, economic, and environmental factors. Personal Characteristics A passion for using technology and quantitative analysis to drive real More ❯

implementing recommendations. Location: North Shields Job Type: Full-time Salary: £40,000 per annum Day-to-Day of the Role Conduct detailed analysis of pricing and competitiveness. Engage in predictive modelling to assess changes in risk and profitability based on pricing strategies. Manage the full lifecycle of analysis projects from initial data extraction through to trend analysis and More ❯

implementing recommendations. Location: North Shields Job Type: Full-time Salary: £40,000 per annum Day-to-Day of the Role Conduct detailed analysis of pricing and competitiveness. Engage in predictive modelling to assess changes in risk and profitability based on pricing strategies. Manage the full lifecycle of analysis projects from initial data extraction through to trend analysis and More ❯

data sources Desirable skills/Preferred Qualifications: • Experience supporting feasibility studies and business case development. • Familiarity with graph-based analytics and relational data structures. • Understanding of scenario planning and predictive modelling concepts. • Experience working in regulated environments or with sensitive data. • Knowledge of operational design and process optimisation within intelligence or security functions More ❯

and promotional effectiveness Evaluate and implement emerging data science techniques to improve existing approaches Collaborate with cross-functional teams to define research questions and align on business goals Develop predictive models and analytical tools Communicate insights through clear, reproducible research and translate technical findings for diverse audiences What We're Looking For: Solid foundation in statistics, experimental design, and More ❯

clinical trial documentation (protocols, study reports, medical reports, patient narratives). 🔹 Create Digital Healthcare applications to support medical/scientific tools, patient engagement, and real-world evidence generation. 🔹 Design predictive models and generative AI solutions leveraging diverse healthcare data (clinical trials, EHRs, wearables, PROs, HEOR, Phase IV). 🔹 Collaborate with clinical, data science, RWE, and medical affairs teams to More ❯

clinical trial documentation (protocols, study reports, medical reports, patient narratives). 🔹 Create Digital Healthcare applications to support medical/scientific tools, patient engagement, and real-world evidence generation. 🔹 Design predictive models and generative AI solutions leveraging diverse healthcare data (clinical trials, EHRs, wearables, PROs, HEOR, Phase IV). 🔹 Collaborate with clinical, data science, RWE, and medical affairs teams to More ❯

clinical trial documentation (protocols, study reports, medical reports, patient narratives). 🔹 Create Digital Healthcare applications to support medical/scientific tools, patient engagement, and real-world evidence generation. 🔹 Design predictive models and generative AI solutions leveraging diverse healthcare data (clinical trials, EHRs, wearables, PROs, HEOR, Phase IV). 🔹 Collaborate with clinical, data science, RWE, and medical affairs teams to More ❯

clinical trial documentation (protocols, study reports, medical reports, patient narratives). 🔹 Create Digital Healthcare applications to support medical/scientific tools, patient engagement, and real-world evidence generation. 🔹 Design predictive models and generative AI solutions leveraging diverse healthcare data (clinical trials, EHRs, wearables, PROs, HEOR, Phase IV). 🔹 Collaborate with clinical, data science, RWE, and medical affairs teams to More ❯

clinical trial documentation (protocols, study reports, medical reports, patient narratives). 🔹 Create Digital Healthcare applications to support medical/scientific tools, patient engagement, and real-world evidence generation. 🔹 Design predictive models and generative AI solutions leveraging diverse healthcare data (clinical trials, EHRs, wearables, PROs, HEOR, Phase IV). 🔹 Collaborate with clinical, data science, RWE, and medical affairs teams to More ❯

clinical trial documentation (protocols, study reports, medical reports, patient narratives). 🔹 Create Digital Healthcare applications to support medical/scientific tools, patient engagement, and real-world evidence generation. 🔹 Design predictive models and generative AI solutions leveraging diverse healthcare data (clinical trials, EHRs, wearables, PROs, HEOR, Phase IV). 🔹 Collaborate with clinical, data science, RWE, and medical affairs teams to More ❯

and promotional effectiveness Evaluate and implement emerging data science techniques to improve existing approaches Collaborate with cross-functional teams to define research questions and align on business goals Develop predictive models and analytical tools Communicate insights through clear, reproducible research and translate technical findings for diverse audiences What We're Looking For: Solid foundation in statistics, experimental design, and More ❯

prototypes using modern frameworks and cloud platforms. Contribute to long-term AI strategy and roadmap development. Ideal Candidate: Strong hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, automation). Familiarity with cloud platforms (AWS, Azure, or GCP). Excellent communication and mentoring skills. Ability to translate complex technical concepts for non-technical audiences. Passionate More ❯

prototypes using modern frameworks and cloud platforms. Contribute to long-term AI strategy and roadmap development. Ideal Candidate: Strong hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, automation). Familiarity with cloud platforms (AWS, Azure, or GCP). Excellent communication and mentoring skills. Ability to translate complex technical concepts for non-technical audiences. Passionate More ❯

those who need them • Drive rapid prototyping and deployment of AI solutions that solve real problems What you bring Technical excellence • Deep expertise in AI applications for cheminformatics, including predictive modelling, machine learning, and large language models • Strong foundation in chemical representation, toxicity modelling, and structure-activity relationships • Experience developing robust, explainable models that meet regulatory standards More ❯