226 to 250 of 785 Permanent Predictive Modelling Jobs

part of cross-functional teams to help solve challenges and aid decision makers across the sporting landscape, from elite professional teams, to leagues and broadcasters, applying advanced analytics and modelling techniques. Personal Attributes Highly motivated and results-driven with a passion for technology. A passion for the business of sports, media, and technology. Can-do attitude; a self-starter … Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required. Mid-Level Data Scientist Responsibilities Lead individual workstreams from design through deployment. Build and monitor predictive models. Translate insights into actionable deliverables. Support and mentor junior colleagues. Capabilities 4+ years relevant work experience. Demonstrated experience in supervised models (e.g., forecasting, regression, classification), as well as … delivery skills. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required. Senior Data Scientist Responsibilities Lead complex, multi-stream projects and analytics teams. Define modelling strategy and coding standards. Mentor team members and support professional development. Interface with clients to drive data-informed strategy. Capabilities 6+ years relevant work experience. Deep expertise in advanced More ❯

relationships are the most crucial component of a well-functioning data team. Stakeholders should consider you part of their team. Varied work across other data disciplines, e.g. dashboarding, AE modelling, business unit level deep dives and data sprints, supporting ML projects. We make time for innovation, so if you have an idea, shout, and we’ll make the space. … including the ability to create insightful and user-friendly dashboards and reports Experience with DBT (Data Build Tool) or similar data transformation technologies, with a keen understanding of data modelling and ETL processes Desirable A background in statistics and/or programming, with the ability to apply statistical methods and algorithms to extract insights from data Especially surrounding experimentation … Familiarity with machine learning (ML) and artificial intelligence (AI) techniques, preferably in Python, R, or another programming language, enabling the development and implementation of predictive models and data-driven solutions #J-18808-Ljbffr More ❯

KFC and Mercedes. The position is for a Principal or Lead Data Scientist depending on experience. What You’ll Do: Innovate and Optimise: Design, build, and implement cutting-edge predictive models such as causal AI campaign modelling, campaign forecasting engines, pricing elasticity models, and recommender engines that drive media performance, personalise customer experiences, and optimise revenue for our … data science projects, ensuring they are delivered on time and meet or exceed client expectations. Depending on experience, there may be the opportunity for direct reports. Uncover Insights: Use predictive and prescriptive techniques to analyse data, uncover trends, and deliver actionable recommendations that make a real impact on our clients' businesses. Build and Prototype: Develop data solutions, tools, and More ❯

Deliver measurement and effectiveness projects, including dashboard reporting and deep dive evaluations to understand the impact marketing has on customer behaviour Deliver and take lead on customer projects (segmentation, modelling), utilising statistical techniques to develop a deep understanding of customers Ensure that the most relevant methodologies are applied to measure and evaluate, proactively recommending better ways of working Develop … implementing and managing reporting dashboard design, update and automation using tools such as PowerBI, Tableau and Looker Studio Good knowledge of advanced data analysis techniques that include customer segmentation, predictive modelling, multivariate analysis, querying and reporting tools, A/B testing and statistical significance We believe the best work happens when we're together, fostering creativity, collaboration, and More ❯

Significant analytics experience in relevant areas Analysis of large or complex datasets with SQL/Python Data visualization (Tableau, Qlik, PowerBI etc.) Geospatial analytics and mapping Machine learning and predictive modelling Data process design and automation A passion for problem solving and the drive to develop innovative solutions A desire to work both independently and in team settings More ❯

performance, and sales funnel metrics. Develop models to support growth planning, forecasting, and strategic investments. Monitor and enhance operational KPIs like vehicle utilisation, idle time, and maintenance cycles. Build predictive models for vehicle demand, depot performance, and resource allocation. Identify inefficiencies in service processes, proposing actionable improvements. Financial Reporting & Modelling Partner with finance leadership to deliver board-ready … operational data analytics. Proven experience in a high-growth or fast-paced business environment. Hands-on role with leadership exposure and direct business impact. Technical Expertise Advanced Excel: dashboards, modelling, Power Query Strong SQL skills: writing, optimising, troubleshooting queries Power BI (or similar): dashboard development for operational and strategic users Comfortable managing data from multiple systems (CRM, finance etc More ❯

optimising and automating Pricing processes to enable faster, more accurate decision-making. Your work will focus on developing and maintaining tooling and frameworks that enhance the efficiency of our predictive models, reducing deployment times, increasing scalability, and improving model performance through regular updates and monitoring. You will work closely with our Data Scientists, Actuaries, and Product team to deliver … scalable, production-grade ML systems. Key Responsibilities Build model lifecycle tooling (deployment, monitoring and alerting) for our predictive models (for example claims cost, conversion, retention, market models) Maintain and improve the development environment (Kubeflow) used by our Data Scientists and Actuaries Develop and maintain pricing analytics tools that enable faster impact assessments, reducing manual work Collaborate with the technical … Scientists, Actuaries, and Product Managers Nice To Have Experience in UK motor insurance Telematics Data: Familiarity with behavioural driving data and its application in insurance pricing Understanding of pricing modelling tools such as Akur8 or Emblem Experience with IaC (we use Terraform) Experience with gRPC/protobuf What’s it like to work at Zego? Joining Zego is a More ❯

s needs, beliefs, behaviours, and aspirations. We foster an inclusive workplace that emphasizes personal well-being. Role Are you an aspiring data scientist with a strong foundation in statistical modelling, programming, and business problem-solving? Do you thrive on learning fast, solving real-world problems, and making an impact from day one? We're looking for a Junior Data … be joining a team led by George Cushen ( ), known for delivering innovative AI solutions at scale across marketing and customer experience. What You'll Do Support the development of predictive models and data-driven solutions that solve real marketing and customer problems. Conduct exploratory data analysis, feature engineering, and data cleaning to prepare data for modelling. Write clean, well More ❯

SQL skills including experience querying complex datasets from a variety of multiple sources. Proficiency in R statistical programming (or equivalent) to explore diverse data sets and create descriptive and predictive models using methods like correlation analysis, regression modelling, cluster analysis. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Marketing More ❯

SQL skills including experience querying complex datasets from a variety of multiple sources. Proficiency in R statistical programming (or equivalent) to explore diverse data sets and create descriptive and predictive models using methods like correlation analysis, regression modelling, cluster analysis. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the More ❯

SQL skills including experience querying complex datasets from a variety of multiple sources. Proficiency in R statistical programming (or equivalent) to explore diverse data sets and create descriptive and predictive models using methods like correlation analysis, regression modelling, cluster analysis. About Electronic Arts We're proud to have an extensive portfolio of games and experiences, locations around the More ❯

SQL skills including experience querying complex datasets from a variety of multiple sources. Proficiency in R statistical programming (or equivalent) to explore diverse data sets and create descriptive and predictive models using methods like correlation analysis, regression modelling, cluster analysis. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the More ❯

sits at the heart of our commercial success across a growing portfolio. You'll define the vision, build the team, and deliver a solution that leverages real-time data, predictive modelling, and machine learning to optimise pricing decisions at scale. The Role By joining our team you'll: Develop a comprehensive roadmap for a sophisticated, real-time pricing More ❯

currently recruiting for CRM Data Scientist for a leading gambling provider based in London. Key Responsibilities: Analyze large datasets to uncover patterns and insights related to customer behavior. Develop predictive models to forecast customer activities and trends. Collaborate with cross-functional teams to implement data-driven strategies. Define and track key performance indicators (KPIs). Utilize machine learning techniques … and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with More ❯

currently recruiting for CRM Data Scientist for a leading gambling provider based in London. Key Responsibilities: Analyze large datasets to uncover patterns and insights related to customer behavior. Develop predictive models to forecast customer activities and trends. Collaborate with cross-functional teams to implement data-driven strategies. Define and track key performance indicators (KPIs). Utilize machine learning techniques … and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with More ❯

currently recruiting for CRM Data Scientist for a leading gambling provider based in London. Key Responsibilities: Analyze large datasets to uncover patterns and insights related to customer behavior. Develop predictive models to forecast customer activities and trends. Collaborate with cross-functional teams to implement data-driven strategies. Define and track key performance indicators (KPIs). Utilize machine learning techniques … and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with More ❯

optimising and automating Pricing processes to enable faster, more accurate decision-making. Your work will focus on developing and maintaining tooling and frameworks that enhance the efficiency of our predictive models, reducing deployment times, increasing scalability, and improving model performance through regular updates and monitoring. You will work closely with the Data Scientists and Product team to deliver scalable … number of years of great success have hit profitability and now want to grow through strategic hiring. Key Responsibilities Build model lifecycle tooling (deployment, monitoring and alerting) for our predictive models (for example claims cost, conversion, retention, market models) Maintain and improve the development environment (Kubeflow) used by the Data Scientists Develop and maintain pricing analytics tools that enable More ❯

optimising and automating Pricing processes to enable faster, more accurate decision-making. Your work will focus on developing and maintaining tooling and frameworks that enhance the efficiency of our predictive models, reducing deployment times, increasing scalability, and improving model performance through regular updates and monitoring. You will work closely with the Data Scientists and Product team to deliver scalable … number of years of great success have hit profitability and now want to grow through strategic hiring. Key Responsibilities Build model lifecycle tooling (deployment, monitoring and alerting) for our predictive models (for example claims cost, conversion, retention, market models) Maintain and improve the development environment (Kubeflow) used by the Data Scientists Develop and maintain pricing analytics tools that enable More ❯

re looking for a Senior Data Engineer with a passion for ethical AI, healthcare impact, and scalable technology. In this role, you’ll lead the design and deployment of predictive models, benchmarking tools, and data pipelines that directly improve outcomes in social care. You’ll work at the intersection of advanced analytics and compassionate innovation, shaping the future of … homes across clinical and operational metrics Build scalable data science workflows using Azure Data Factory, Synapse Analytics, Databricks, and other Microsoft Azure services Lead end-to-end development of predictive models (e.g., fall prediction, infection prevention) using Azure Machine Learning Collaborate with developers and product managers to embed ML outputs into dashboards and APIs via Power BI and Azure More ❯

modern machine learning to build scalable, efficient, and insightful models-driving real business impact. Location: Remote/Hybrid/USA-SF, USA-remote, UK-London, UK-remote Responsibilities: Translate predictive modeling problems and business constraints into robust Bayesian or probabilistic AI solutions. Design and implement reusable libraries of predictive features and probabilistic representations for diverse ML tasks. Build More ❯

Engineering 2+ years of experience with Python and SQL for data analysis and manipulation Demonstrated experience in data cleaning, validation, and addressing data quality issues Experience developing econometric or predictive models using SAS or Python is a plus Prior experience in the CRE or CMBS industry is preferred This is a hybrid position, requiring time spent working in the … arrangements Company Overview and EEOC/Diversity Green Street is a forward-thinking real assets company at the forefront of transforming the commercial real estate market with cutting-edge predictive analytics, data-driven insights, and actionable intelligence. With over 40 years of expertise, Green Street empowers investors, lenders, banks, and industry stakeholders across the U.S., Canada, Europe and Asia More ❯

re looking for a Senior Data Engineer with a passion for ethical AI, healthcare impact, and scalable technology. In this role, you’ll lead the design and deployment of predictive models, benchmarking tools, and data pipelines that directly improve outcomes in social care. You’ll work at the intersection of advanced analytics and compassionate innovation, shaping the future of … homes across clinical and operational metrics Build scalable data science workflows using Azure Data Factory, Synapse Analytics, Databricks, and other Microsoft Azure services Lead end-to-end development of predictive models (e.g., fall prediction, infection prevention) using Azure Machine Learning Collaborate with developers and product managers to embed ML outputs into dashboards and APIs via Power BI and Azure More ❯

Marketing Sciences Data Science Team, you’ll play a pivotal role in revolutionising marketing strategies through cutting-edge Data Science and Machine Learning solutions. What You’ll Do Build predictive models for campaign optimisation, forecasting, and price elasticity analysis. Support junior data scientists while contributing to high-impact projects. Create and implement AI-driven solutions that personalise customer experiences More ❯

Marketing Sciences Data Science Team, you’ll play a pivotal role in revolutionising marketing strategies through cutting-edge Data Science and Machine Learning solutions. What You’ll Do Build predictive models for campaign optimisation, forecasting, and price elasticity analysis. Support junior data scientists while contributing to high-impact projects. Create and implement AI-driven solutions that personalise customer experiences More ❯

Experience: 2-3 years in MIS or Data Analytics field. Output Requirements: Provide insights and trends from data analysis. Generate forecasts and predictions using historical data. Build and deploy predictive models with machine learning techniques. Recommend business improvements based on data findings. More ❯