1 to 25 of 38 Remote/Hybrid Permanent 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 ...

automation to identify and resolve issues before they impact customers. It drives measurable improvements in customer experience, operational efficiency, and commercial value through predictive modelling and cross-functional collaboration. You will design and deliver proactive broadband use cases using Zhilabs to detect service issues early and improve customer … confident decision-making. You will lead technical delivery of proactive initiatives from concept through backlog shaping, testing, and go-live readiness. You will apply predictive modelling techniques to forecast service degradation and prevent customer impact. You will implement workflow automations that reduce manual effort and support scalable ...

Analysts to translate business needs into effective data solutions Supporting Python-based analytics processes, including automation and model scoring Integrating outputs from analytical and predictive models into reporting and operational systems Identifying opportunities to improve automation, efficiency and data processes Working closely with Data and ICT teams to align … including dimensional and semantic layers Experience working with data platforms (e.g. data warehouses, lakehouse architectures, ELT approaches) Experience with Power BI datasets and data modelling for reporting Experience building and maintaining data pipelines and transformations Ability to translate business requirements into practical data solutions Strong analytical thinking and attention ...

Ability to Design, Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights. Be a Databricks champion or have some Databricks certifications AWS Work hands-on with AWS services such as Redshift ...

accurate data. Ability to design, build and deploy AI/ML models: Integrate Machine Learning into data pipelines and leverage Databricks capabilities to develop predictive models and drive business insights. Design, Monitor and optimize data pipelines and infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency ...

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 ...

will have a strong background in data analysis, machine learning, and statistical modeling. This role involves working with large datasets to uncover insights, develop predictive models, and support data-driven decision-making processes. Responsibilities: Analyze large and complex datasets to extract meaningful insights. Develop and implement machine learning models ...

biology or a related quantitative discipline. Expert R (R Studio) programming skills for manipulation/cleaning, report generation, visualisation of data, statistical analysis and modelling Experience leading a team of data scientists or analysts Proficiency with SQL (Azure) for data manipulation, extract creation and aggregation of data from disparate … large data sets Proven experience responding creatively to analytical briefs Experience with data warehouses and open database connectivity Statistical expertise (including survival analysis and predictive modelling) The ability to deliver under pressure and without regular supervision Proven problem-solving skills and ability to work to deadlines Self-motivation ...

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 ...

development. assist the Trust to interpret the available data and provide a judgement on actual performance and the ability to deliver operational plans, using predictive modelling techniques. To achieve our aim of system-wide transformation we're developing a culture of high-quality compassionate and inclusive leadership ...

business functions. This is a hands-on data science role that will work within our Data & AI function. You will apply advanced econometric modelling and performance marketing expertise to optimize customer acquisition, retention, and revenue growth across our brands. Working closely with our central performance marketing teams, you will … multiple channels and touchpoints Design and execute controlled experiments (A/B tests, geo-experiments) to validate marketing strategies and optimize campaign performance Build predictive models for customer lifetime value, churn prediction, and acquisition cost optimization Analyze complex marketing datasets from multiple vendors and platforms to extract actionable insights ...

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 ...

competitive edge through data-driven decisions. What You’ll Do Lead and deliver complex data analytics initiatives across major Financial Services clients Use predictive modelling, segmentation, and risk analytics to solve client challenges Collaborate on the design and build of dashboards using tools such as Tableau Interpret large … like AI and machine learning What We’re Looking For Strong ability to parse, manipulate and review large volumes of complex data Experience with predictive and diagnostic analytics in CLTV, risk scoring, financial crime, or marketing Technical proficiency in SQL databases and tools like Python, R, or Spark Strong ...

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 ...

Role Joining a well-established Protection Insurance provider, you'll play a key role in shaping pricing strategy through advanced analytics, machine learning and predictive modelling. This is a highly commercial role, sitting at the intersection of Data Science, Pricing and Insurance. You'll design and deploy models that … open to both Pricing Data Scientists and candidates with an Actuarial background, making this an excellent opportunity for someone looking to apply advanced modelling techniques to real-world commercial challenges. Key Responsibilities Build and deploy pricing, demand, lapse, cross-sell and optimisation models Lead strategic pricing initiatives and deliver ...

quality data and self-serve analytics using tools like Airflow, dbt and Looker. Practically used + applied AI/machine learning techniques and built predictive models to get deeper insights Knowledge of the FinTech ecosystem Additional Information What do we offer: Salary: £75,000 - £115,000 Company Restricted Stock ...

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 ...

effectively map process landscapes. Competence in conducting root cause analysis and proposing specific interventions for operational inefficiencies. Familiarity with advanced analytics techniques (e.g., predictive modelling, machine learning) to drive innovative process improvements. Proven ability to work on multi-disciplinary projects, collaborating with IT, operations, and business leaders. ...