1 to 25 of 37 Remote/Hybrid Predictive Modelling Jobs

model packaging decisions across multiple markets. As this platform evolves, there's a clear opportunity to go further - moving beyond reporting and compliance into predictive modelling, optimisation, and AI-driven decision support. This role will play a key part in enabling that shift, ensuring our data platform … scalable, traceable and aligned to both regulatory and product needs. As the platform matures, you'll also help enable more advanced capabilities, including predictive modelling, scenario optimisation and machine learning use cases, ensuring the data foundations are built to support them properly. What You'll Be Doing ...

will use data to drive business performance across membership, travel, leisure and financial service products. You'll be responsible for delivering meaningful insights, developing predictive models, supporting forecasting activities and helping shape the organisation's data science capabilities. Data Science Analyst Key Responsibilities Deliver commercial reporting, management information … dashboards Analyse large and complex datasets to identify trends, opportunities and root causes Build predictive models to support customer acquisition, retention and lifetime value initiatives Support revenue, demand and occupancy forecasting Develop commercial models to evaluate business opportunities and promotions Champion AI and automation initiatives across commercial and marketing ...

blends data engineering, analytics, and machine learning, offering the opportunity to work across the full data lifecycle-from building scalable data pipelines to developing predictive models that drive business decisions. Key Responsibilities Design, build, and maintain scalable data pipelines and ETL/ELT workflows to support analytics and machine ...

statistical distributions is essential. Machine Learning: Knowledge of machine learning algorithms and frameworks (such as TensorFlow and Scikit-Learn) is vital for building predictive models and automating decision-making processes. Data Wrangling: The ability to clean and organize complex datasets is critical. Data wrangling involves transforming raw data into ...

statistical distributions is essential. Machine Learning: Knowledge of machine learning algorithms and frameworks (such as TensorFlow and Scikit-Learn) is vital for building predictive models and automating decision-making processes. Data Wrangling: The ability to clean and organize complex datasets is critical. Data wrangling involves transforming raw data into ...

lead for AI adoption across the marketing, commercial, and product teams to accelerate insight generation and deliver efficiencies Introduce and apply reusable predictive modelling using data-science techniques to support performance Create dynamic dashboards Evaluate multiple data sources to investigate complex business problems, draw out knowledge, and provide … insights to guide product development and business strategy Skills and experience: Proven experience working in a similar Commercial Data Analyst role, including data preparation, modelling, analysis and visualisation techniques such as predictive analysis, business intelligence, pattern recognition, economic modelling Advanced SQL skills for transforming and aggregating large ...

drives commercial strategy. THE ROLE This is a senior individual contributor role within an innovative pricing function, focused on developing and evolving advanced predictive models. You will work on complex, high-impact modelling problems and help shape the next generation of pricing approaches. Specifically, you can expect … involved in: Building and enhancing pricing and risk models using large, complex and messy datasets. Developing predictive and residual models to better understand expected versus actual outcomes. Exploring novel data sources, including geospatial and alternative datasets, to improve customer selection and pricing accuracy. Supporting the progression of existing models ...

finance data. We are looking for a hands-on Data Scientist to work alongside our lead data scientist to experiment, engineer, and deliver innovative predictive models into our modern AWS production environments. The Technical Reality: We operate a pragmatic stack where Linear Regression remains vital for stability and baseline … consumers to access the most suitable financial products, whilst supporting our customers in discovering good responsible actors and highlighting potential risks from others. Responsibilities Predictive Modelling (Linear & Non-Linear): You will build and maintain foundational Linear Regression models for credit, affordability, and fraud scoring, while developing advanced XGBoost ...

want to build data products, not just models? Have you worked on predictive analytics that directly shape customer strategy? Are you ready to own product innovation from concept to launch? A UK-based data and analytics business is hiring a Data Scientist to support the design and delivery … proprietary data products, giving you exposure to both real-world commercial problems and scalable internal product builds. Their focus sits heavily in customer intelligence, predictive modelling and behavioural analytics across sectors including utilities, telecoms, financial services and charities. This is a strong opportunity for someone who wants broader ...

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 … 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 ...

robust analytical products. Advanced knowledge of applied mathematics, statistics, and numerical analysis, with experience using techniques such as optimisation, time series analysis, simulation or predictive modelling to generate insight and support decision making. Excellent communication skills, with experience presenting analytical outputs clearly to both technical and non technical ...

robust analytical products. Advanced knowledge of applied mathematics, statistics, and numerical analysis, with experience using techniques such as optimisation, time series analysis, simulation or predictive modelling to generate insight and support decision making. Excellent communication skills, with experience presenting analytical outputs clearly to both technical and non technical ...

/Knowledge Essential Advanced knowledge of applied mathematics, statistics, and numerical analysis, with experience using techniques such as optimisation, time series analysis, simulation or predictive modelling to generate insight and support decision making. Skills/Knowledge Essential Excellent communication skills, with experience presenting analytical outputs clearly to both ...

function. Take ownership of high-impact use cases spanning marketing, pricing, de\mand forecasting and AI innovation. Design and oversee the delivery of predictive models and advanced analytics solutions that unlock new revenue opportunities. Partner with senior leadership across Growth, Strategy and Technology to embed scalable data science solutions ...

following: Excel for BI, Tableau, Power BI Skilled in SQL and ideally Python, demonstrated through real-world projects. Practical knowledge of predictive modelling (e.g., regression, decision trees) and time series forecasting (e.g., SARIMA). Solid understanding of statistical methods and their applications. Proven experience applying data and advanced ...

following: Excel for BI, Tableau, Power BI Skilled in SQL and ideally Python, demonstrated through real-world projects. Practical knowledge of predictive modelling (e.g., regression, decision trees) and time series forecasting (e.g., SARIMA). Solid understanding of statistical methods and their applications. Proven experience applying data and advanced ...

following: Excel for BI, Tableau, Power BI Skilled in SQL and ideally Python, demonstrated through real-world projects. Practical knowledge of predictive modelling (e.g., regression, decision trees) and time series forecasting (e.g., SARIMA). Solid understanding of statistical methods and their applications. Proven experience applying data and advanced ...

following: Excel for BI, Tableau, Power BI Skilled in SQL and ideally Python, demonstrated through real-world projects. Practical knowledge of predictive modelling (e.g., regression, decision trees) and time series forecasting (e.g., SARIMA). Solid understanding of statistical methods and their applications. Proven experience applying data and advanced ...

following: Excel for BI, Tableau, Power BI Skilled in SQL and ideally Python, demonstrated through real-world projects. Practical knowledge of predictive modelling (e.g., regression, decision trees) and time series forecasting (e.g., SARIMA). Solid understanding of statistical methods and their applications. Proven experience applying data and advanced ...

analytics adoption and improving data literacy across the organisation. Overseeing the redesign and rationalisation of dashboards and reporting. Guiding the development and deployment of predictive models and machine learning solutions. Acting as a senior advisor to leadership teams, championing data driven decision making. Partnering with data product, engineering, governance ...

platform backbone - identity, auth, entitlements, billing, and the infrastructure everything else depends on. Intelligence is the layer above the data - AI-powered insights, predictive models built on Databricks and Snowflake, anomaly detection, and agentic features. This is a full-stack role. You'll own features from the data layer ...

advanced analytics power unforgettable experiences? We’re looking for a Data Scientist who’s passionate about turning complex, large-scale data into predictive models and actionable insights that directly influence commercial decisions and long-term growth. What You’ll Do as a Data Scientist Take ownership of high-impact … growth use cases across marketing, pricing and demand forecasting. Design, build and deploy predictive models and advanced analytics solutions that unlock new revenue opportunities. Work with large, diverse datasets to uncover patterns and trends that inform strategic decision-making. Partner with Growth, Strategy and Technology teams to embed scalable ...

Assists in exploring new data sources, research, and models under direction from senior team members. Supports project planning efforts by breaking down AI/predictive modeling and development tasks into manageable subtasks, tracking progress and meeting assigned deadlines. Executes analytical and modeling tasks as part of a larger project … Assists in exploring new data sources, research, and models under direction from senior team members. Supports project planning efforts by breaking down AI/predictive modeling and development tasks into manageable subtasks, tracking progress and meeting assigned deadlines. Executes analytical and modeling tasks as part of a larger project ...

site each month. however, remote options will be considered for the right candidate. What you can expect from the Role Advanced Analytics and Modelling Develop predictive models (e.g. customer lifetime value, propensity, response modelling) Apply segmentation and clustering techniques to refine customer targeting Build attribution and measurement … Collaboration & Capability Building Act as a technical expert within the analytics team, supporting analysts and stakeholders Promote best practice in statistical methods, experimentation and modelling Contribute to building a data-driven culture across the business What we expect from you Proven experience in Data Science, Advanced Analytics or similar ...

reporting needs, maintaining and improving the web data structure, providing recommendations to management to improve marketing campaign performance. Run statistical analytics and predictive models to identify new areas to improve or target; work closely with marketing management to measure our testing program. The Day-to-Day: Oversee assigned complex ...