176 to 200 of 333 Remote Predictive Modelling Jobs

leadership role, we’d love to hear from you. As a key member of the Portfolio Pricing team, you will: Monitor portfolio performance and deliver innovative pricing strategies Blend predictive analytics with commercial insight to identify trends and pricing actions Support profitability by meeting loss ratio targets and optimising product volume You’ll also contribute to the broader pricing … strategy by developing and enhancing the risk models and working closely with underwriting and technical modelling teams. ✔️ Personal Lines Pricing experience (Motor, Home or Pet) ✔️ Strong skills in predictive modelling – e.g., GLMs, GBMs, GAMs, Random Forests ✔️ Proficiency in R, Python, PySpark, SAS or SQL ✔️ Experience with Radar and/or Emblem ✔️ A numerate degree (e.g., Maths, Stats More ❯

optimising the company's advertising inventory, pricing models, and revenue performance. You will work across datasets covering sales activity, inventory levels, supplier lead times, and customer demand to develop predictive models that inform effective pricing and stock management strategies. This role demands both technical acumen and commercial awareness, as you’ll directly impact profitability through smarter pricing, stock optimisation … and predictive inventory management. Key Responsibilities: Develop predictive and statistical models to optimise inventory management, pricing strategies, and advertising sales performance. Analyse inventory turnover, sales rates, supplier lead times, and customer demand to inform stock and order management decisions. Create dynamic pricing models based on supply, demand, seasonality, and campaign data. Deliver actionable insights that maximise revenue opportunities … supply teams to embed data-driven decision-making across the business. Build scalable, reusable models and frameworks to inform long-term inventory and pricing strategy. Skills & Experience: Strong statistical modelling and predictive analytics expertise. Proficiency in SQL and Python (or R) for data manipulation and model development. Experience working with commercial, sales, or inventory datasets. Strong stakeholder management More ❯

optimising the company's advertising inventory, pricing models, and revenue performance. You will work across datasets covering sales activity, inventory levels, supplier lead times, and customer demand to develop predictive models that inform effective pricing and stock management strategies. This role demands both technical acumen and commercial awareness, as you’ll directly impact profitability through smarter pricing, stock optimisation … and predictive inventory management. Key Responsibilities: Develop predictive and statistical models to optimise inventory management, pricing strategies, and advertising sales performance. Analyse inventory turnover, sales rates, supplier lead times, and customer demand to inform stock and order management decisions. Create dynamic pricing models based on supply, demand, seasonality, and campaign data. Deliver actionable insights that maximise revenue opportunities … supply teams to embed data-driven decision-making across the business. Build scalable, reusable models and frameworks to inform long-term inventory and pricing strategy. Skills & Experience: Strong statistical modelling and predictive analytics expertise. Proficiency in SQL and Python (or R) for data manipulation and model development. Experience working with commercial, sales, or inventory datasets. Strong stakeholder management More ❯

optimising the company's advertising inventory, pricing models, and revenue performance. You will work across datasets covering sales activity, inventory levels, supplier lead times, and customer demand to develop predictive models that inform effective pricing and stock management strategies. This role demands both technical acumen and commercial awareness, as you’ll directly impact profitability through smarter pricing, stock optimisation … and predictive inventory management. Key Responsibilities: Develop predictive and statistical models to optimise inventory management, pricing strategies, and advertising sales performance. Analyse inventory turnover, sales rates, supplier lead times, and customer demand to inform stock and order management decisions. Create dynamic pricing models based on supply, demand, seasonality, and campaign data. Deliver actionable insights that maximise revenue opportunities … supply teams to embed data-driven decision-making across the business. Build scalable, reusable models and frameworks to inform long-term inventory and pricing strategy. Skills & Experience: Strong statistical modelling and predictive analytics expertise. Proficiency in SQL and Python (or R) for data manipulation and model development. Experience working with commercial, sales, or inventory datasets. Strong stakeholder management More ❯

optimising the company's advertising inventory, pricing models, and revenue performance. You will work across datasets covering sales activity, inventory levels, supplier lead times, and customer demand to develop predictive models that inform effective pricing and stock management strategies. This role demands both technical acumen and commercial awareness, as you’ll directly impact profitability through smarter pricing, stock optimisation … and predictive inventory management. Key Responsibilities: Develop predictive and statistical models to optimise inventory management, pricing strategies, and advertising sales performance. Analyse inventory turnover, sales rates, supplier lead times, and customer demand to inform stock and order management decisions. Create dynamic pricing models based on supply, demand, seasonality, and campaign data. Deliver actionable insights that maximise revenue opportunities … supply teams to embed data-driven decision-making across the business. Build scalable, reusable models and frameworks to inform long-term inventory and pricing strategy. Skills & Experience: Strong statistical modelling and predictive analytics expertise. Proficiency in SQL and Python (or R) for data manipulation and model development. Experience working with commercial, sales, or inventory datasets. Strong stakeholder management More ❯

optimising the company's advertising inventory, pricing models, and revenue performance. You will work across datasets covering sales activity, inventory levels, supplier lead times, and customer demand to develop predictive models that inform effective pricing and stock management strategies. This role demands both technical acumen and commercial awareness, as you’ll directly impact profitability through smarter pricing, stock optimisation … and predictive inventory management. Key Responsibilities: Develop predictive and statistical models to optimise inventory management, pricing strategies, and advertising sales performance. Analyse inventory turnover, sales rates, supplier lead times, and customer demand to inform stock and order management decisions. Create dynamic pricing models based on supply, demand, seasonality, and campaign data. Deliver actionable insights that maximise revenue opportunities … supply teams to embed data-driven decision-making across the business. Build scalable, reusable models and frameworks to inform long-term inventory and pricing strategy. Skills & Experience: Strong statistical modelling and predictive analytics expertise. Proficiency in SQL and Python (or R) for data manipulation and model development. Experience working with commercial, sales, or inventory datasets. Strong stakeholder management More ❯

optimising the company's advertising inventory, pricing models, and revenue performance. You will work across datasets covering sales activity, inventory levels, supplier lead times, and customer demand to develop predictive models that inform effective pricing and stock management strategies. This role demands both technical acumen and commercial awareness, as you’ll directly impact profitability through smarter pricing, stock optimisation … and predictive inventory management. Key Responsibilities: Develop predictive and statistical models to optimise inventory management, pricing strategies, and advertising sales performance. Analyse inventory turnover, sales rates, supplier lead times, and customer demand to inform stock and order management decisions. Create dynamic pricing models based on supply, demand, seasonality, and campaign data. Deliver actionable insights that maximise revenue opportunities … supply teams to embed data-driven decision-making across the business. Build scalable, reusable models and frameworks to inform long-term inventory and pricing strategy. Skills & Experience: Strong statistical modelling and predictive analytics expertise. Proficiency in SQL and Python (or R) for data manipulation and model development. Experience working with commercial, sales, or inventory datasets. Strong stakeholder management More ❯

optimising the company's advertising inventory, pricing models, and revenue performance. You will work across datasets covering sales activity, inventory levels, supplier lead times, and customer demand to develop predictive models that inform effective pricing and stock management strategies. This role demands both technical acumen and commercial awareness, as you’ll directly impact profitability through smarter pricing, stock optimisation … and predictive inventory management. Key Responsibilities: Develop predictive and statistical models to optimise inventory management, pricing strategies, and advertising sales performance. Analyse inventory turnover, sales rates, supplier lead times, and customer demand to inform stock and order management decisions. Create dynamic pricing models based on supply, demand, seasonality, and campaign data. Deliver actionable insights that maximise revenue opportunities … supply teams to embed data-driven decision-making across the business. Build scalable, reusable models and frameworks to inform long-term inventory and pricing strategy. Skills & Experience: Strong statistical modelling and predictive analytics expertise. Proficiency in SQL and Python (or R) for data manipulation and model development. Experience working with commercial, sales, or inventory datasets. Strong stakeholder management More ❯

optimising the company's advertising inventory, pricing models, and revenue performance. You will work across datasets covering sales activity, inventory levels, supplier lead times, and customer demand to develop predictive models that inform effective pricing and stock management strategies. This role demands both technical acumen and commercial awareness, as you’ll directly impact profitability through smarter pricing, stock optimisation … and predictive inventory management. Key Responsibilities: Develop predictive and statistical models to optimise inventory management, pricing strategies, and advertising sales performance. Analyse inventory turnover, sales rates, supplier lead times, and customer demand to inform stock and order management decisions. Create dynamic pricing models based on supply, demand, seasonality, and campaign data. Deliver actionable insights that maximise revenue opportunities … supply teams to embed data-driven decision-making across the business. Build scalable, reusable models and frameworks to inform long-term inventory and pricing strategy. Skills & Experience: Strong statistical modelling and predictive analytics expertise. Proficiency in SQL and Python (or R) for data manipulation and model development. Experience working with commercial, sales, or inventory datasets. Strong stakeholder management More ❯

optimising the company's advertising inventory, pricing models, and revenue performance. You will work across datasets covering sales activity, inventory levels, supplier lead times, and customer demand to develop predictive models that inform effective pricing and stock management strategies. This role demands both technical acumen and commercial awareness, as you’ll directly impact profitability through smarter pricing, stock optimisation … and predictive inventory management. Key Responsibilities: Develop predictive and statistical models to optimise inventory management, pricing strategies, and advertising sales performance. Analyse inventory turnover, sales rates, supplier lead times, and customer demand to inform stock and order management decisions. Create dynamic pricing models based on supply, demand, seasonality, and campaign data. Deliver actionable insights that maximise revenue opportunities … supply teams to embed data-driven decision-making across the business. Build scalable, reusable models and frameworks to inform long-term inventory and pricing strategy. Skills & Experience: Strong statistical modelling and predictive analytics expertise. Proficiency in SQL and Python (or R) for data manipulation and model development. Experience working with commercial, sales, or inventory datasets. Strong stakeholder management More ❯

optimising the company's advertising inventory, pricing models, and revenue performance. You will work across datasets covering sales activity, inventory levels, supplier lead times, and customer demand to develop predictive models that inform effective pricing and stock management strategies. This role demands both technical acumen and commercial awareness, as you’ll directly impact profitability through smarter pricing, stock optimisation … and predictive inventory management. Key Responsibilities: Develop predictive and statistical models to optimise inventory management, pricing strategies, and advertising sales performance. Analyse inventory turnover, sales rates, supplier lead times, and customer demand to inform stock and order management decisions. Create dynamic pricing models based on supply, demand, seasonality, and campaign data. Deliver actionable insights that maximise revenue opportunities … supply teams to embed data-driven decision-making across the business. Build scalable, reusable models and frameworks to inform long-term inventory and pricing strategy. Skills & Experience: Strong statistical modelling and predictive analytics expertise. Proficiency in SQL and Python (or R) for data manipulation and model development. Experience working with commercial, sales, or inventory datasets. Strong stakeholder management More ❯

on a strong IC path. You'll work across analytics, experimentation, and forecasting – blending business impact with data science. Initial focus areas: Marketing & channel measurement User engagement & churn Forecasting & predictive modelling Identifying commercial opportunities in key markets Team & culture: Collaborative, cross-functional, and growth-focused. You'll work closely with product, engineering, and analytics peers in a supportive More ❯

a pivotal role in shaping our strategic direction, ensuring that we deliver this core strategy. The three core deliverables of this role: Lead the exec team in developing a predictive growth and advocacy strategy that identifies, measures and amplifies the key drivers of viral organic growth. Build a scalable customer and market intelligence engine anticipating behavioural shifts, emerging customer … infrastructure to enhance performance delivery across all teams. Responsibilities Strategy & Leadership With the CEO, lead and support development and execution of a comprehensive long- and short-term data-driven, predictive growth strategy focused on advocacy, virality, and rapid expansion. Partner with the executive & senior leadership team to ensure insights and analytics shape company-wide strategic planning, from growth initiatives … trends, customer insights, and advocacy-driven performance metrics. Customer & Market Insights Build a best-in-class insights function that anticipates customer behaviour shifts, market trends, and emerging opportunities. Develop predictive models and segmentation frameworks that enhance customer engagement, retention, and lifetime value strategies. Leverage NPS, behavioural analytics, and voice-of-customer data to optimise customer experience and advocacy. Provide More ❯

a pivotal role in shaping our strategic direction, ensuring that we deliver this core strategy. The three core deliverables of this role: Lead the exec team in developing a predictive growth and advocacy strategy that identifies, measures and amplifies the key drivers of viral organic growth. Build a scalable customer and market intelligence engine anticipating behavioural shifts, emerging customer … infrastructure to enhance performance delivery across all teams. Responsibilities Strategy & Leadership With the CEO, lead and support development and execution of a comprehensive long- and short-term data-driven, predictive growth strategy focused on advocacy, virality, and rapid expansion. Partner with the executive & senior leadership team to ensure insights and analytics shape company-wide strategic planning, from growth initiatives … trends, customer insights, and advocacy-driven performance metrics. Customer & Market Insights Build a best-in-class insights function that anticipates customer behaviour shifts, market trends, and emerging opportunities. Develop predictive models and segmentation frameworks that enhance customer engagement, retention, and lifetime value strategies. Leverage NPS, behavioural analytics, and voice-of-customer data to optimise customer experience and advocacy. Provide More ❯

sure the right data is available to the CRM to enable them to deliver a best in class customer marketing programme. Successfully working across data strategy, CRM analysis and predictive modelling, giving you a role which will cover multiple disciplines including data planning, CRM analytics, decision science and data science. From a technical perspective, all that’s needed … remains kind and caring. Experience Needed A CRM or marketing related analytics background is essential – so you understand things like segmentations and how to do them. Logistic regression and predictive analytics, good knowledge of data science techniques within a marketing/commercial environment (not product related) will be beneficial Solid analytics skills, with the story telling/insight skill More ❯

managed endpoints, AKS or equivalent Experience with VCS Experience with CI/CD 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 Desirable skills Graduate or More ❯

managed endpoints, AKS or equivalent ??Experience with VCS ??Experience with CI/CD ??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 Desirable skills ??Graduate or More ❯

a full-time remote role for a Senior Analytical Data Engineer - Sagemaker Unified Studio at Datore. The role involves developing and managing advanced data processes and pipelines, including data modelling, ETL tasks, and data warehousing. The engineer will work to extract meaningful insights from complex data sets using data analytics and deploy predictive models to inform business decisions. More ❯

products, ideally with credit cards; familiarity working with third-party fraud detection tools. Technical Skills : Proficiency in SQL or Python for data analysis; familiarity with decision trees or other predictive modelling is a plus Domain Knowledge : Familiarity with applicable laws and regulations that impact Zendable's business including BSA, OFAC, GLBA, TILA including the Credit Card Accountability, Responsibility More ❯

and machine learning to enhance customer acquisition, retention, and deliver personalised offerings. Partnering with cross-functional teams to ensure data strategies align with overall company goals. Developing and optimising predictive models to enhance pricing accuracy and maintain competitiveness. Continuously validating and monitoring models to ensure effectiveness in reducing loss ratios and boosting revenue. Implementing monitoring and alerting systems to … when necessary. Customising reports to meet the unique requirements of various users and teams. YOUR SKILLS AND EXPERIENCE Strong experience with Python and SQL. Experience developing pricing models. Create predictive models using machine learning and data science techniques. Experience working in insurance. Excellent written and verbal communication skills. THE BENEFITS A salary of up to £65,000. Remote working More ❯

As a Data Scientist, you will develop sophisticated algorithms and predictive models, leveraging a broad spectrum of techniques from mathematical and statistical methods to advanced machine learning approaches. You will be working alongside DevOps and software development teams to ensure seamless integration and efficacy of your models to our clients' software to deliver mission-critical communications solutions for customers. … willing to commute to our offices a minimum of 3-4 days per week as per our hybrid working policy. Key Responsibilities Data Science & Software Development Craft and refine predictive models using a diverse array of methods, including but not limited to linear programming, heuristic algorithms, and machine learning techniques. Solve complex problems using statistical techniques and data analysis. … and statistical background; expertise in Python and R, including libraries like Numpy, Pandas, Pytorch and Scikit-learn. Demonstrable experience in data science and a proven track record in developing predictive models. Experience contributing to a software project/product. Experience with databases. In addition, any experience in the following would be beneficial: A post-graduate degree in Data Science More ❯

As a Data Scientist, you will develop sophisticated algorithms and predictive models, leveraging a broad spectrum of techniques from mathematical and statistical methods to advanced machine learning approaches. You will be working alongside DevOps and software development teams to ensure seamless integration and efficacy of your models to our clients' software to deliver mission-critical communications solutions for customers. … willing to commute to our offices a minimum of 3-4 days per week as per our hybrid working policy. Key Responsibilities Data Science & Software Development Craft and refine predictive models using a diverse array of methods, including but not limited to linear programming, heuristic algorithms, and machine learning techniques. Solve complex problems using statistical techniques and data analysis. … and statistical background; expertise in Python and R, including libraries like Numpy, Pandas, Pytorch and Scikit-learn. Demonstrable experience in data science and a proven track record in developing predictive models. Experience contributing to a software project/product. Experience with databases. In addition, any experience in the following would be beneficial: A post-graduate degree in Data Science More ❯

science and machine learning? Our client, a leader in advertising measurement and technology, is on the hunt for an innovative Analytics Director to spearhead the development of cutting-edge predictive models. This is your chance to shape the future of a fast-growing tech company and make a significant impact on how businesses understand and optimize their advertising strategies. … Key Responsibilities: Lead the design, development, and implementation of predictive models. Apply advanced statistical and machine learning techniques to large datasets. Collaborate with cross-functional teams to integrate models into the product lifecycle. Report on model performance and provide insights for product development. What You Bring: Master’s or PhD in a quantitative field (Statistics, Data Science, Machine Learning 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 ❯

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 ❯