26 to 50 of 333 Remote Predictive Modelling Jobs

hypotheses : Design, develop, and implement a range of experiments which will test and validate hypotheses across channels, segments and audiences which will derive actionable insights and decision making. Develop predictive models: develop, test and implement predictive models to inform business decisions, such as customer segmentation, retention models and customer lifetime value. Communicate results and engage with stakeholders : Effectively … datasets and identify opportunities for automation and process improvements. Strong analytical and problem-solving skills to address real-world business challenges. Practical and outcome driven mindset. Proficiency in statistical modelling : Demonstrated experience in developing and deploying statistical models, with a strong understanding of various, including supervised and unsupervised learning methods. Additional knowledge of GenAI and LLMs is an advantage. More ❯

hypotheses : Design, develop, and implement a range of experiments which will test and validate hypotheses across channels, segments and audiences which will derive actionable insights and decision making. Develop predictive models: develop, test and implement predictive models to inform business decisions, such as customer segmentation, retention models and customer lifetime value. Communicate results and engage with stakeholders : Effectively … datasets and identify opportunities for automation and process improvements. Strong analytical and problem-solving skills to address real-world business challenges. Practical and outcome driven mindset. Proficiency in statistical modelling : Demonstrated experience in developing and deploying statistical models, with a strong understanding of various, including supervised and unsupervised learning methods. Additional knowledge of GenAI and LLMs is an advantage. More ❯

You Have: Bachelor's degree in computer science, data science, statistics, or a related field. 7+ years of experience in analytics and data reporting Experience with statistical techniques and predictive modelling using tools such as SPSS, SAS or Python Expertise in creating insightful dashboards and reports, supported by visual storytelling for executive team members How We Support You More ❯

in funding. And we're only just getting started. Who we're looking for We are looking for a highly motivated Data Scientist, who is keen on building advanced predictive models and joining our growing Core Pricing team. The mission is to build a world-class Data Science team that turns ideas and resolves complex challenges into production-grade … the ability to present complex ideas simply Right to work in the UK Nice to have (but not essential) Internship or course project involving real‐world data analysis or modelling Familiarity with cloud platforms (e.g. AWS) and version control (git) Experience with BI/visualisation tools (e.g. Looker) What's it like to work at Zego? Joining Zego is More ❯

teams to identify patterns and trends, and provide recommendations based on data analysis. The Opportunity You'll define our data strategy, user segmentation, and growth analytics. You'll build predictive models and optimization systems that drive our core business metrics. What You'll Own Pricing Architecture & Economy Balancing: Analyze and optimize our currency and prize pricing, promo offerings, etc. … and cohorts Reporting Infrastructure: Create automated dashboards for daily, weekly, and monthly KPIs Real-Time Optimization: Build systems to monitor and optimize user engagement and monetization in real-time Predictive Modeling: Develop churn prediction, lifetime value models, and user progression forecasting Fraud Detection: Create automated systems to flag suspicious betting patterns and user behavior Advanced Analytics: A/B … betting patterns Real-time analytics experience - Systems that can react to user behavior changes quickly Nice-to-Haves Experience with entertainment/pop culture analytics Machine learning experience for predictive modeling Experience scaling analytics teams What You'll Get Flexible hours and ownership over your work Direct leadership access - You'll work closely with founders and shape company direction More ❯

and drive business transformation using data science. As a Senior Data Scientist, you'll be expected to take ownership of end-to-end projects, working with large datasets, building predictive models, and applying advanced analytical techniques to solve complex business problems. The role requires someone who is comfortable with ambiguity and can deliver solutions that directly support key strategic More ❯

and drive business transformation using data science. As a Senior Data Scientist, you'll be expected to take ownership of end-to-end projects, working with large datasets, building predictive models, and applying advanced analytical techniques to solve complex business problems. The role requires someone who is comfortable with ambiguity and can deliver solutions that directly support key strategic More ❯

analysis and modeling User research understanding to complement quantitative insights Curious, collaborative team player able to prioritise in a fast-paced environment Nice to have: Familiarity with customer segmentation, predictive modeling, and machine learning techniques. Prior experience supporting data-driven product roadmaps and experimentation programmes A keen interest in trading and/or investing Basic knowledge of HTML, CSS More ❯

risk, and customer management. You'll have the opportunity to shape the direction of data science initiatives and work with a highly skilled team to implement autonomous decision frameworks, predictive modelling, and advanced analytics. Key Responsibilities: Own and develop predictive models to improve customer outcomes across multiple business domains. Lead model deployment and policy setting to enhance … seek and identify opportunities for process improvement through data. Key Skills & Experience: Proven experience delivering end-to-end data science solutions in a commercial environment. Strong technical expertise in predictive modelling, machine learning, and AI. Proficient in R, Python, SQL, and familiar with visualisation tools like Power BI. Excellent problem-solving, communication, and stakeholder management skills. Experience in More ❯

people in the global DSAE team, including data science, data governance and analytics professionals. We work closely with engineering and product management teams to deliver data products, insight, predictive analytics, and data visualisation. Data Scientists in the DSAE team apply sophisticated analytical methods and tools to drive value from the data through methods such as customer segmentation, predictive modelling, forecasting and other algorithms. Our work delivers an in-depth understanding of consumer behaviours and supports multi-channel targeting and personalization. What you will be doing: You’ll join a London-based agile team building and supporting data science products that drive business impact across PlayStation. You’ll collaborate closely with other data scientists, engineers, and product … teams such as marketing, operations, engineering, product planning, R&D, and finance. We are hiring for two vital teams within Data Science: With a focus on forecasting and value modelling, you will help PlayStation quantify and anticipate the future value of our customer base, powering commercial decisions that affect strategy and planning. Your work will enable the business to More ❯

for data scientists to extract value from our data assets and maximise customer value. What you'll do: Producing high quality, actionable insights through advanced analytics and cutting-edge predictive algorithms: work as a self-starter and be actively curious about what numbers are telling us and how they can be actioned upon to improve our customer experience. Designing … a framework for testing the solution and measuring the incremental value to the business from the solution What you'll bring: Expertise in multiple advanced analytical areas including Forecasting, Predictive Modelling, Optimisation, Clustering or NLP Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environment Experience in deploying commercially viable applications using deep … is a must - everything we do drives value into the business Proven expertise in leading the development and deployment of big data solutions on Cloud platforms (essential) Programming for modelling and/or data analysis e.g. Python, Tensorflow (essential) Database experience, preferably SQL (essential) Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning Machine learning - Supervised More ❯

project control and performance management. You'll develop and manage insightful dashboards and reports, monitor key performance indicators, and present actionable insights to stakeholders. Your role will also involve predictive analytics, root-cause analysis, risk management collaboration, and ensuring compliance with industry standards. Proficiency in tools like Power BI, SQL, and Python, along with familiarity with PRISM or Primavera … and risk performance. Monitor key project performance indicators and identify trends, deviations, and improvement opportunities. Present clear and actionable insights to stakeholders to enable effective project control decisions. Data Modelling & Analysis: Develop predictive analytics models to assess potential project outcomes based on current data and trends. Conduct root-cause analyses of project variances and propose mitigation strategies to … advancements in analytics tools, techniques, and best practices within project management. Analytics & Data Skills: Proficiency in using analytics tools (e.g., Power BI, SQL, Python) for data transformation, visualization, and predictive modelling. Experience with data integration and ETL processes, and familiarity with project management systems like PRISM or Primavera. Problem Solving & Insight Generation: Strong ability to interpret complex data sets More ❯

project control and performance management. You'll develop and manage insightful dashboards and reports, monitor key performance indicators, and present actionable insights to stakeholders. Your role will also involve predictive analytics, root-cause analysis, risk management collaboration, and ensuring compliance with industry standards. Proficiency in tools like Power BI, SQL, and Python, along with familiarity with PRISM or Primavera … and risk performance. Monitor key project performance indicators and identify trends, deviations, and improvement opportunities. Present clear and actionable insights to stakeholders to enable effective project control decisions. Data Modelling & Analysis: Develop predictive analytics models to assess potential project outcomes based on current data and trends. Conduct root-cause analyses of project variances and propose mitigation strategies to … advancements in analytics tools, techniques, and best practices within project management. Analytics & Data Skills: Proficiency in using analytics tools (e.g., Power BI, SQL, Python) for data transformation, visualization, and predictive modelling. Experience with data integration and ETL processes, and familiarity with project management systems like PRISM or Primavera. Problem Solving & Insight Generation: Strong ability to interpret complex data sets More ❯

You Have: Bachelor's degree in computer science, data science, statistics, or a related field. 7+ years of experience in analytics and data reporting Experience with statistical techniques and predictive modelling using tools such as SPSS, SAS or Python Expertise in creating insightful dashboards and reports, supported by visual storytelling for executive team members How We Support You More ❯

environment, we would love to hear from you. Core responsibilities Customer insights: Interpret and analyse dashboards to identify key trends, opportunities, and risks across the business. Customer behaviour analysis & modelling: Conduct deep dive analyses on customer behaviour, including geo-demographics, time of day, and transactional data. Investigate retention drivers and develop predictive models to inform improvements. Segmentation analysis More ❯

areas such as workforce planning, engagement, retention, DEI, and organisation design, helping Arm anticipate and navigate how the world of work is changing Introduce advanced analytics capabilities such as predictive modelling, sentiment analysis, and organisational network analysis to shape our strategy and decision making Partner with colleagues across the People Group to define, prioritise, and deliver data-driven More ❯

small teams, delivering results in a timely manner. Familiarity with version control and IT delivery tools. Understanding of how to apply machine learning to solve business problems. Experience developing predictive and prescriptive models (e.g., predictive modeling, machine learning, or data mining) to deliver actionable business insights. Exceptional written and verbal communication skills, with the ability to present findings More ❯

small teams, delivering results in a timely manner. Familiarity with version control and IT delivery tools. Understanding of how to apply machine learning to solve business problems. Experience developing predictive and prescriptive models (e.g., predictive modeling, machine learning, or data mining) to deliver actionable business insights. Exceptional written and verbal communication skills, with the ability to present findings More ❯

accuracy and reliability. Use analytics and visualization tools to identify trends, patterns, and key insights. Create user-friendly dashboards and automated reports to help stakeholders track key metrics. Apply predictive modeling to support better decision-making and optimize operations. Work closely with engineers and operational teams to turn data into actionable strategies. Ensure data quality through regular validation, cleaning More ❯

insights within their workflow Conduct regular analysis of workforce trends, including employee engagement, performance metrics, and recruitment funnel metrics Lead workforce planning efforts by analyzing historical data and creating predictive models for future staffing needs Design and implement data collection methodologies to capture relevant HR metrics across various sources Build and maintain documentation for reporting processes, metrics definitions, and More ❯

and modeling. Understanding of user research to complement quantitative insights. Curious, collaborative team player able to prioritize in a fast-paced environment. Nice to have: Familiarity with customer segmentation, predictive modeling, and machine learning techniques. Experience supporting data-driven product roadmaps and experimentation programs. Keen interest in trading and investing. Basic knowledge of HTML, CSS, JS. How we work More ❯

on user behavior, identifying customer pain points all along the journey, or building new tools to help improve user experience with the Product teams (New metrics, new user segmentation, predictive models, ...), tagging, running and analyzing new features using test and learn techniques with the stakeholders. This position will be highly rewarding and lots of fun. Training and development More ❯

You will be working in small Data Science team on green-field projects so we are looking for someone who can assess business needs and build a range of predictive Data Science models from the ground-up. They are at the early stages of their Data Science journey so you will have the opportunity to influence their approach and … many of the: A good Degree in Computer Science, Statistics, Data Science, Mathematics or a related field At least 5 years demonstrable data science experience with a range of predictive modelling techniques and knowledge of Generative AI tools. Proficiency in programming languages such as Python or Scala. Familiarity with ETL, Data Pipelines, Data Modelling and Data Warehousing More ❯

people in the global DSAE team, including data science, data governance and analytics professionals. We work closely with engineering and product management teams to deliver data products, insight, predictive analytics, and data visualisation. Overview: Data Scientists in the DSAE team apply sophisticated analytical methods and tools to drive value from the data through methods such as customer segmentation, predictive modelling, forecasting and other algorithms. Our work delivers an in-depth understanding of consumer behaviours and supports multi-channel targeting and personalization. What you will be doing: You'll join a London-based agile team building and supporting data science products that drive business impact across PlayStation. You'll collaborate closely with other data scientists, engineers, and product … marketing, operations, engineering, product planning, R&D, and finance. We are hiring for two vital teams within Data Science: Forecasting & Value Models: With a focus on forecasting and value modelling, you will help PlayStation quantify and anticipate the future value of our customer base, powering commercial decisions that affect strategy and planning. Your work will enable the business to More ❯

and play a key role in maximizing both customer acquisition and retention across the business. You’ll work closely with growth, product, and analytics stakeholders to uncover insights, build predictive models, and drive high-impact decision-making through experimentation and forecasting. This is a high-visibility role where your work will directly influence business strategy, growth initiatives, and long … and non-technical stakeholders. Delve into large-scale datasets using SQL and perform advanced statistical techniques in Python. Continuously evaluate and improve existing models and testing frameworks to increase predictive accuracy and business impact. How Will Your Time Be Spent? 30% on Analysis – Mining and analysing customer, growth, marketing, and operations data to uncover insights that inform strategic decisions. … This includes building dashboards, running cohort analyses, and identifying trends and anomalies. 25% on Data Science & Modelling – Developing predictive models (e.g., churn prediction, CLV forecasting, segmentation models), conducting A/B test analysis, and applying machine learning to solve real business problems. Collaborating with engineers to validate and deploy models. 20% on Strategy & Stakeholder Collaboration – Partnering with marketing More ❯