1 to 25 of 30 DemandTrendPermanent Predictive Modelling Jobs in the North West

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 ❯

Head of Modelling & Optimisation, Head of Pricing Transformation Two positions are available, Head of Modelling & Optimisation and Head of Pricing Transformation. These roles sit within ourRetail Pricing - Modelling & Optimisation division. Location: We operate flexible hybrid working for these positions and have offices based in Manchester and Peterborough. Role purpose The successful candidate is responsible for leading technical … pricing solutions Drive change and innovation to ensure continuous improvement End to end production of pricing models using a tailor-made pricing pipeline Use of pricing software to build predictive statistical models and intelligently optimise customer prices Contribute and implement improvements to the pricing process to increase pricing performance and efficiency Contribute and lead research and development opportunities to … help innovate and improve current modelling and pricing methodologies Ensure all activity is compliant with pricing governance and follows established controls Work closely with the Street Pricing Team to ensure pricing models meet business objectives, and manage relationships with key stakeholders around the business Manage a team of varying experience, including managers About you: Strong experience managing pricing teams 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Broadly: Work with Engineering, Product, Marketing and Operations to embed intelligence into everything we do What Youll Bring: Extensive experience delivering commercial value through data science Deep expertise in predictive modelling, optimisation and personalisation Mastery of Python/R, SQL and modern ML tools (ML Ops, Docker, DBT) A passion for storytelling with data and influencing strategic decisions 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 ❯

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 ❯

structured databases to support the efficient storage and retrieval of information. Analyse datasets to identify patterns, trends, and opportunities related to housebuilding processes, material procurement, and vendor performance. Develop predictive models to forecast materials, project costs, and market demands. Provide actionable insights to assist the commercial team in optimising operations and enhancing profitability. Prepare comprehensive reports and dashboards using … levels and experience with technical and non-technical audiences. Experience in understanding, gathering, and analysing business requirements, with an analytical mind-set and a problem-solving approach. Knowledge of modelling with data visualisation solutions (e.g. Microsoft Power BI). Analytical troubleshooting and problem-solving skills. Strong understanding of commercial operations and market dynamics in the housing industry preferable. Exceptional More ❯

Bank to list a few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with the pricing, retail and machine learning teams to provide … create solutions that leverage vast data assets and lead the development of bespoke machine-learning models to improve the underwriting performance of the Group. Key Responsibilities: Develop and test modelling improvements for pricing models, particularly in motor. These might include improvements in hyper-parameter tuning methods, model performance, model stability and feature explainability Be the technical lead in the … development of predictive models that solve business challenges through one-off analyses or bespoke modelling. Such work would include risk classification, such as area or vehicle classification, as well as predictive models for other business use cases such as conversion or retention Adapt known machine learning techniques such as GBMs to create solutions/models that are state More ❯