11 of 11 Contract Predictive Modelling Jobs

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 ...

technical stakeholders Ensure best practices in model performance, explainability, robustness and governance Stay at the forefront of emerging techniques, particularly within forecasting and predictive modelling Mentor team members and help build technical capability across the team What We're Looking For Essential experience: Experience in Data Science with … proven track record of solving complex problems Expertise in time series forecasting (e.g. demand forecasting, trend modelling, seasonality analysis) Solid foundation in statistical modelling and machine learning theory Proficiency in Python and experience working with large, complex datasets using SQL and Spark Ability to manage multiple priorities across ...

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 ...

data architecture and AWS cloud migration. Ensure data quality, governance, and alignment with business priorities. Identify opportunities for automation, efficiency, and advanced analytics (AI, predictive modelling) Support governance processes, including risk and compliance reporting. Key Skills & Experience Essential Strong Power BI experience (DAX, Power Query) SQL and data … modelling expertise Experience integrating multiple data sources. Strong stakeholder engagement and analytical skills Desirable AWS or cloud BI experience Exposure to AI/advanced analytics Experience with Planon or similar systems Knowledge of data governance frameworks If you're interested in this role, click 'apply now' to forward ...

JSON and XML, and utilising strong experience in metadata management. Collaborate with data engineers to develop data, enrich product design, and integrate data for predictive models or machine learning. Deliver well-defined, transformed, tested, documented, and code-reviewed datasets for analysis. Evaluate and recommend improvements in data flow, influencing … data engineering, software engineering, or a similar role. Expertise in developing best practices for data engineering and analytics, with a strong background in data modelling, including indexing strategies. Strong ability in SQL for data extraction and manipulation, and proficiency in data modelling and data product building in Databricks. ...

intersection of Data Science, Sales, Marketing, and Strategy, translating complex data into actionable insights that directly impact revenue growth. Key Responsibilities Market Opportunity & Revenue Modelling Develop models to quantify market opportunity (e.g. TAM/SAM) and identify whitespace across global segments Analyse customer and market data to uncover untapped … customer segmentation frameworks to enhance targeting and campaign effectiveness Partner with commercial teams to optimise go-to-market strategies and sales performance Data Science & Modelling Design, develop, and iterate on predictive models that drive measurable business impact Apply statistical and machine learning techniques to large, complex datasets Ensure ...

role in shaping data-driven commercial strategy across their Education business. This is a highly impactful opportunity focused on building sophisticated market intelligence and predictive analytics models that directly influence go-to-market strategy, customer growth and long-term revenue planning. The role sits within a cross-functional environment … dynamics, including subscription models, institutional procurement structures and consortium purchasing behaviours. Build scalable end-to-end data pipelines incorporating customer attributes, behavioural signals and predictive model outputs. Develop and enhance propensity models to optimise customer acquisition and education-focused sales strategies. Deliver strategic insights and market opportunity analysis ...

business problems Analyse large datasets to generate actionable insights Collaborate with stakeholders across technical and non-technical teams Build and maintain data pipelines and predictive models Present findings clearly to support strategic decisions Key Requirements Proven experience working as a Data Scientist within the public sector Strong expertise … machine learning techniques Proficiency in Python/R and relevant data science libraries Experience with data manipulation, modelling, and visualisation Strong communication skills and ability to translate data into insights Desirable Experience with cloud platforms (e.g. Azure, AWS, GCP) Knowledge of data governance and compliance in public sector environments ...

Inside IR35 | Hybrid (1 day per week London) We're looking for a Senior Data Scientist to design and deliver advanced risk and predictive models within complex, highly regulated environments. This role sits at the intersection of analytics, risk, and decision science, focusing on building models that enable organisations … emerging threats, quantify risk exposure, and make informed, evidence-based decisions. You'll work across large, complex, and often sensitive data sets to develop modelling frameworks that support real-world, high-impact outcomes. Key responsibilities: Design and develop advanced risk models, including predictive, probabilistic, and scenario-based modelling ...

Design, configure, and optimize decision strategies within Pega Customer Decision Hub (CDH) across eligibility, applicability, arbitration, and engagement policies. * Develop and enhance adaptive models, predictive models, and next-best-action frameworks to drive personalized customer experiences. * Partner with business SMEs to translate customer engagement goals into robust, Real Time ...

London, Outside IR35 This contract offers the chance to own end-to-end model delivery within a lean analytics function, working on business-critical modelling initiatives with real production impact. You will join a small, highly capable team where autonomy, technical depth, and clear delivery are valued. The Company … data-driven organisation with a strong focus on pricing and analytics. Operating within a compact analytics team, they are investing in robust, scalable modelling solutions to support ongoing decision-making. The environment is collaborative and delivery-focused, with senior stakeholders closely engaged in the outcomes of the work. ...