1 to 23 of 23 Predictive Modelling Jobs with Hybrid or WFH Options

passion for data and insights Track record of successful leadership and people management skills Demonstratable stakeholder management skills Experience with machine learning (ML) and predictive modelling, as well as data visualisation tools and techniques ideally This Head of Data role will be responsible for data analytics and business … reporting to deliver commercially valuable insights; data science to develop predictive modelling and machine learning algorithms; data strategy to support the company’s growth objectives. You will be involved and engaged with a talented and very skilled wider team, supporting you and the company to achieve best-in more »

Power BI, or similar Experience with cloud platforms (e.g. AWS and Azure) and data analytics tools and services Preferred experience implementing Machine Learning/Predictive Modeling Preferred experience developing Artificial Intelligence (AI) solutions Education/Experience: Required A Bachelor's Degree in a related field Computer Science, Data science more »

Power BI, or similar Experience with cloud platforms (e.g. AWS and Azure) and data analytics tools and services Preferred experience implementing Machine Learning/Predictive Modeling Preferred experience developing Artificial Intelligence (AI) solutions Education/Experience: Required A Bachelor's Degree in a related field Computer Science, Data science more »

Power BI, or similar Experience with cloud platforms (e.g. AWS and Azure) and data analytics tools and services Preferred experience implementing Machine Learning/Predictive Modeling Preferred experience developing Artificial Intelligence (AI) solutions Education/Experience: Required A Bachelor's Degree in a related field Computer Science, Data science more »

Power BI, or similar Experience with cloud platforms (e.g. AWS and Azure) and data analytics tools and services Preferred experience implementing Machine Learning/Predictive Modeling Preferred experience developing Artificial Intelligence (AI) solutions Education/Experience: Required A Bachelor's Degree in a related field Computer Science, Data science more »

Power BI, or similar Experience with cloud platforms (e.g. AWS and Azure) and data analytics tools and services Preferred experience implementing Machine Learning/Predictive Modeling Preferred experience developing Artificial Intelligence (AI) solutions Education/Experience: Required A Bachelor's Degree in a related field Computer Science, Data science more »

Power BI, or similar Experience with cloud platforms (e.g. AWS and Azure) and data analytics tools and services Preferred experience implementing Machine Learning/Predictive Modeling Preferred experience developing Artificial Intelligence (AI) solutions Education/Experience: Required A Bachelor's Degree in a related field Computer Science, Data science more »

a focus on continuous learning, you'll explore new data sources, develop cutting-edge analytics capabilities, and apply advanced techniques like machine learning and predictive modelling. Collaborative Culture: Join a passionate team where your insights will shape the future direction of our data strategy and drive our global movement more »

machine learning and advanced analytics. Intelligent Product Architecture: Architect, design, and support the product architecture for the Accel API platform, integrating AI algorithms and predictive models to enhance performance and scalability. Lead the Tech COE function and foster collaboration among members to drive AI adoption. AI-Infused Solutions Architecture more »

role in risk model builds and refreshes across all product lines. Work closely with stakeholders across the business to ensure data used for risk modelling is consistent, efficient and suitable for modelling. Contribute to delivering our commercial objectives by continuing to build and maintain our risk pricing models efficiently … meeting expectations of key internal and external stakeholders. Key Skills and Experience: Previous experience within general insurance pricing 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 statistical and data science more »

in the increasingly competitive insurance market. Key Responsibilities: Maintain and improve the pricing process to meet business requirements, including; Development of market leading behavioural modelling using a combination of traditional & data science techniques Improve sophistication within the optimisation of Markerstudy’s direct brands Support delivery of pricing & underwriting business … products and/or pricing teams, including knowledge of current trends and issues in motor or home pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering. Knowledge of the technical differences between more »

to develop the data science side of their already successful data team! There will be a heavy focus on machine learning, ML engineering and predictive modelling, if this sounds like you, you could soon find yourself leading a team of data scientists! Salary and Bonuses Competitive salary of more »

edge. Requirements : Proven Data Science experience, particularly in Trade Promotion Management or Consumer Analytics. Strong proficiency in data analysis, statistical methods, machine learning, and predictive modelling. Experience in optimising trade promotions or commercial strategies using data-driven insights. Excellent problem-solving skills and the ability to collaborate effectively with more »

programming skills in Python or R, strong SQL ability, and adherence to coding efficiency and best practices. Analytical and Statistical Expertise : Excellent skills in predictive modeling, segmentation, time series analysis, and decision-making applications. Cloud Platform Experience : Proficiency with cloud-based platforms like Databricks, Snowflake, and Google BigQuery, and more »

in DS and analytics, Experience in leadership role, successfully building dynamic, high performing teams. Strong proficiency in statistical analysis, machine learning, data mining, and predictive modelling techniques. Proficiency in programming languages such as Python or R is required. In-depth understanding of the one of the relevant industry more »

including distributed database design, SQL vs. NoSQL, and database optimizations. Experience developing web applications in frameworks like Streamlit, Shiny, Vue, React, etc. Proficiency with predictive modeling approaches and/or experience working with large language models. Experience with testing frameworks and automated testing tools (e.g., pytest, Selenium, JUnit). more »

Cloud Platforms such as Microsoft Azure and DevOps process is required. Good knowledge of Data & Analytics technologies such as Data Lakes, Business Intelligence Tools, Predictive Models, 3rd Party Data. Experience in development of REST based APIs using Open API specification and/or creating specifications w/swagger Experience more »

Senior Data Engineer to join their innovative team and push new initiatives in EV! If you have a strong background in AWS, experience in predictive modelling, and familiarity with Airflow, this could be the perfect role for you. 🔍 What You’ll Do: Build Data Pipelines : Design and maintain … data pipelines for data science and predictive analytics. Optimize Data Lakes : Transform and organize the data lake for improved performance and cost efficiency. Manage ETL Processes : Utilize AWS tools like Glue and QuickSight for efficient ETL implementation. Ensure Compliance : Uphold GDPR compliance and data governance standards in all processes. more »

Senior Quantitative Analyst – London (Hybrid) My client is looking to expand their Quantitative Modelling Team and is looking for talented individuals with a passion for sports and mathematics. With partnerships across the USA, UK, and Europe, this is a unique opportunity to shape the future of their technical platforms … including sportsbook, lottery, casino, and financial trading solutions. Key Responsibilities: Design and implement advanced predictive models for sports betting markets. Develop and refine algorithms and tools to optimise trading performance. Interpret and analyse large, complex data sets to drive strategic decisions. Collaborate with multidisciplinary teams to enhance and innovate … years of experience in sports betting, gambling, or a strong track record of academic research (PhD is a plus). In-depth knowledge of predictive modeling and statistical techniques. Desirable Skills: Knowledge of state-space models, Bayesian inference, machine learning. Experience with Julia, C++, Java, or TensorFlow. Benefits: Competitive more »

return on investment. Partner with property, financial, legal and operational teams to evaluate the financial viability of investments, utilising Big Data and AI-driven predictive models to forecast future cash flows, market trends, and key KPI's. Big Data & AI Integration in Financial Analysis: Utilise Big Data technologies to … data sets from multiple sources (e.g., sales, marketing, finance and operations) to provide deeper financial insights. Implement AI-driven financial analysis tools to enhance predictive analytics, enabling proactive decision-making and optimising resource allocation. Data-Driven Performance Metrics & KPIs: Define and monitor key performance indicators (KPIs) aligned with business more »

return on investment. Partner with property, financial, legal and operational teams to evaluate the financial viability of investments, utilising Big Data and AI-driven predictive models to forecast future cash flows, market trends, and key KPI's. Big Data & AI Integration in Financial Analysis: Utilise Big Data technologies to … data sets from multiple sources (e.g., sales, marketing, finance and operations) to provide deeper financial insights. Implement AI-driven financial analysis tools to enhance predictive analytics, enabling proactive decision-making and optimising resource allocation. Data-Driven Performance Metrics & KPIs: Define and monitor key performance indicators (KPIs) aligned with business more »

closely with stakeholders such as business analysts, data engineers, developers, and third-party partners to deliver solutions that align with our Digital Strategy. Data Modelling & Mining: Translate business requirements into technical specifications, work with large datasets, perform data mining, and develop predictive models to drive business decisions. Experience … Expertise: Minimum 5 years of experience in data architecture, data modelling, or database design. Degree in a relevant field like Data Science, Information Technology, or Computer Science. Strong knowledge of SQL, NoSQL, big data technologies, and cloud storage solutions. Proficiency in formal architecture design methods such as TOGAF. Technical … Skills: Expertise in database management systems, data modelling, and architecture design. Familiarity with programming languages such as SQL, Python, and Java. Deep understanding of big data platforms, cloud solutions, and emerging data technologies. Analytical & Communication Skills: Innovative problem-solver with the ability to devise data solutions that bridge the more »

closely with stakeholders such as business analysts, data engineers, developers, and third-party partners to deliver solutions that align with our Digital Strategy. Data Modelling & Mining: Translate business requirements into technical specifications, work with large datasets, perform data mining, and develop predictive models to drive business decisions. Experience … Expertise: Minimum 5 years of experience in data architecture, data modelling, or database design. Degree in a relevant field like Data Science, Information Technology, or Computer Science. Strong knowledge of SQL, NoSQL, big data technologies, and cloud storage solutions. Proficiency in formal architecture design methods such as TOGAF. Technical … Skills: Expertise in database management systems, data modelling, and architecture design. Familiarity with programming languages such as SQL, Python, and Java. Deep understanding of big data platforms, cloud solutions, and emerging data technologies. Analytical & Communication Skills: Innovative problem-solver with the ability to devise data solutions that bridge the more »