24 of 24 Prescriptive Analytics Jobs in the UK

Data Analyst you will possess analytical skills, a structured approach to problem solving, and statistical knowledge. Our job is to work alongside the business to develop, test and deploy analytics or software which provide significant insights and improvements to the business. We also develop custom in-house tools to help us deliver our projects efficiently and effectively. We support … wide range of internal customers and every project is different and gives the opportunity to learn something new. Responsibilities Include: Support with the development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Collaborate across the business to identify and define new data … the teams. Facilitate embedding a self-service capability for operational business users including automating as far as possible to reduce manual intervention and drive efficiency across the business. Support analytics systems including the development and maintenance of systems, processes, and algorithms. You will contribute to the integration, enhancement, and deployment of our analytical suite to give our leadership visibility More ❯

Data Analyst you will possess analytical skills, a structured approach to problem solving, and statistical knowledge. Our job is to work alongside the business to develop, test and deploy analytics or software which provide significant insights and improvements to the business. We also develop custom in-house tools to help us deliver our projects efficiently and effectively. We support … wide range of internal customers and every project is different and gives the opportunity to learn something new. Responsibilities Include: Support with the development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Collaborate across the business to identify and define new data … the teams. Facilitate embedding a self-service capability for operational business users including automating as far as possible to reduce manual intervention and drive efficiency across the business. Support analytics systems including the development and maintenance of systems, processes, and algorithms. You will contribute to the integration, enhancement, and deployment of our analytical suite to give our leadership visibility More ❯

future, in the rapid growth environment of Cloud Computing? Amazon Web Services is looking for a highly motivated, analytical and detail oriented candidate to help build scalable, predictive and prescriptive business analytics solutions that supports AWS Supply Chain and Procurement organization. You will be part of the Supply Chain Analytics team working with Global Stakeholders, Data Engineers … assumptions. • Conduct deep dive analyses of business problems and formulate conclusions and recommendations; determine optimized courses of action to deliver comprehensive Analytical solutions. • Enhance analytical maturity through predictive and prescriptive analytics using Machine Learning and Optimization techniques. • Produce written recommendations and insights for key stakeholders to help shape solution design. • Design, develop and maintain scalable and reliable analytical … help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Bachelor's degree in Engineering, Statistics, Computer Science, Mathematics, Economics, Data Science or related field. - 6+ years' hands-on analytics work experience, with proven quantitative orientation. - 3+ years' experience using business intelligence tools like Tableau, QuickSight, PowerBI etc. Hands on experience in Python, SQL, Data Warehouse solutions and databases More ❯

the next level—fast-tracking humanity and the planet toward purpose, protection, and prosperity. Role: We are looking for a highly skilled Mathematical Modeller with expertise in AI, data analytics, and sustainability to develop and implement advanced modeling frameworks. This role requires deep expertise in mathematical modeling, predictive analytics, and computational intelligence to analyze complex systems, support strategic … optimize sustainability outcomes. Responsibilities include, but are not limited to: Develop advanced mathematical and statistical models to support data-driven insights and decision-making. Design and implement predictive and prescriptive analytics frameworks to assess and forecast key trends. Apply AI and machine learning techniques to enhance data-driven methodologies. Conduct real-time analytics to track ongoing trends … LCA) methodologies to support data-driven impact assessments. Build optimization models to enhance efficiency and sustainability within complex systems. Collaborate with data scientists, engineers, and domain experts to integrate analytics into broader decision-making processes. Develop interactive data visualization tools to communicate insights effectively. Stay updated on emerging AI techniques, sustainability challenges, and regulatory frameworks to enhance analytical methodologies. More ❯

the next level—fast-tracking humanity and the planet toward purpose, protection, and prosperity. Role: We are looking for a highly skilled Mathematical Modeller with expertise in AI, data analytics, and sustainability to develop and implement advanced modeling frameworks. This role requires deep expertise in mathematical modeling, predictive analytics, and computational intelligence to analyze complex systems, support strategic … optimize sustainability outcomes. Responsibilities include, but are not limited to: Develop advanced mathematical and statistical models to support data-driven insights and decision-making. Design and implement predictive and prescriptive analytics frameworks to assess and forecast key trends. Apply AI and machine learning techniques to enhance data-driven methodologies. Conduct real-time analytics to track ongoing trends … LCA) methodologies to support data-driven impact assessments. Build optimization models to enhance efficiency and sustainability within complex systems. Collaborate with data scientists, engineers, and domain experts to integrate analytics into broader decision-making processes. Develop interactive data visualization tools to communicate insights effectively. Stay updated on emerging AI techniques, sustainability challenges, and regulatory frameworks to enhance analytical methodologies. More ❯

the next level—fast-tracking humanity and the planet toward purpose, protection, and prosperity. Role: We are looking for a highly skilled Mathematical Modeller with expertise in AI, data analytics, and sustainability to develop and implement advanced modeling frameworks. This role requires deep expertise in mathematical modeling, predictive analytics, and computational intelligence to analyze complex systems, support strategic … optimize sustainability outcomes. Responsibilities include, but are not limited to: Develop advanced mathematical and statistical models to support data-driven insights and decision-making. Design and implement predictive and prescriptive analytics frameworks to assess and forecast key trends. Apply AI and machine learning techniques to enhance data-driven methodologies. Conduct real-time analytics to track ongoing trends … LCA) methodologies to support data-driven impact assessments. Build optimization models to enhance efficiency and sustainability within complex systems. Collaborate with data scientists, engineers, and domain experts to integrate analytics into broader decision-making processes. Develop interactive data visualization tools to communicate insights effectively. Stay updated on emerging AI techniques, sustainability challenges, and regulatory frameworks to enhance analytical methodologies. More ❯

of-the-art AI approaches such as transformer models, generative AI, and reinforcement learning. Expertise in natural language processing to analyze and generate insights from unstructured text data. Advanced Analytics and Insights Extract actionable insights from structured and unstructured datasets to support strategic decision-making. Use predictive and prescriptive analytics to solve business challenges. Technology and Tools More ❯

reputation. For every new product launched and every trade executed, it is Operations that develops and manages the processes and controls that enable business flow. OUR IMPACT Data Modeling & Analytics leads BI (Business Intelligence) initiatives in close partnership with multiple Business Units within the Prime Services Organization to deploy high quality data models, analytics and reporting to meet … firm and our clients by securely delivering data to stakeholders • Partner with engineering teams to develop scalable business processes and data pipelines to support our clients • Develop data models, analytics and reporting using capabilities such as Legend Studio, Snowflake, Alteryx, SQL, Tableau, R, Python • Manage prioritization and stakeholder engagement to maximize delivery towards established business goals. BASIC QUALIFICATIONS • Minimum … of 4 years of experience in Business Intelligence, Data Engineering or Data Analytics fields • Analytical, self-motivated, detail-oriented with strong problem solving skills • Ability to work within a high-risk environment and meet challenging deadlines and targets • Ability to communicate clearly with end users, development managers and other stakeholders • Proficient in database query languages such as SQL • Proficient More ❯

Provide expertise in advanced data science techniques such as machine learning, optimization, and clustering for commercial use cases. Communicate technical concepts effectively to non-technical stakeholders. Use predictive and prescriptive analytics to enable proactive decision-making. Integrate new data sources and analytics to improve business processes. Willingness to learn and apply new data science techniques. A full … job description is available upon request. About You We seek someone with experience in analytics or data modeling. This role is ideal for motivated individuals eager to grow their data science expertise. Experience with SQL for pulling and analyzing large datasets, and proficiency with visualization tools like Tableau or Power BI, are essential. Strong communication skills are also required More ❯

contribution to the future, in the rapid growth environment of Cloud Computing? Amazon Web Services is looking for a highly motivated Data Scientist to help build scalable, predictive and prescriptive business analytics solutions that supports AWS Supply Chain and Procurement organization. You will be part of the Supply Chain Analytics team working with Global Stakeholders, Data Engineers More ❯

future, in the rapid growth environment of Cloud Computing? Amazon Web Services is looking for a highly motivated, analytical and detail oriented candidate to help build scalable, predictive and prescriptive business analytics solutions that supports AWS Supply Chain and Procurement organization. You will be part of the Supply Chain Analytics team working with Global Stakeholders, Data Engineers … other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Bachelor degree in mathematics, statistics, computer science, engineering. 8+ yrs of experience in Analytics/BI, writing and optimizing SQL/Python with large-scale, complex datasets. - 3+ years' experience using business intelligence tools like QuickSight, Tableau, PowerBI. - Strong financial acumen and analytics More ❯

extensive capacity at low cost, fostering an inclusive culture that encourages bold ideas and ownership. We are looking for a highly motivated Data Scientist to develop scalable, predictive, and prescriptive analytics solutions supporting AWS Supply Chain and Procurement. You will work with stakeholders, data engineers, BI engineers, and analysts to achieve strategic goals. The ideal candidate has a More ❯

with the precision of an archaeologist and lead them from concept to completion, leaving a trail of success in your wake. With your trusted toolkit of research methodologies and prescriptive analytics, you'll be making a real impact at EFG and helping us build something extraordinary. This isn't just another job—it's your chance to be … Conduct research initiatives, leading critical aspects such as design and delivery, and ensuring alignment with business goals; Define research objectives, methodologies, deliverables, and timelines in collaboration with the Research Analytics Team and stakeholders; Drive collaboration and communication among team members to achieve project milestones and deliverables; Develop data-driven hypotheses and design experiments to test them, contributing to the … influence strategic decision-making; Partner with stakeholders to implement research-driven solutions and track KPIs to measure their impact Technical Serve as a key technical resource within the Research Analytics team, sharing knowledge and best practices; Stay updated on emerging trends in analytics and research, and share insights with the team to foster a culture of continuous learning More ❯

Lead Projects & People: Guide a team of data scientists across multiple projects. Depending on experience, this may include upskilling those around you. Deliver Real Business Impact: Use predictive and prescriptive analytics to generate insights that translate into tangible improvements for client campaigns and marketing strategy. Prototype & Scale: Develop tools, frameworks, and self-service prototypes that showcase the agency More ❯

Lead Projects & People: Guide a team of data scientists across multiple projects. Depending on experience, this may include upskilling those around you. Deliver Real Business Impact: Use predictive and prescriptive analytics to generate insights that translate into tangible improvements for client campaigns and marketing strategy. Prototype & Scale: Develop tools, frameworks, and self-service prototypes that showcase the agency More ❯

into production. Collaborating closely with a team on all aspects of the data science and deployment lifecycle. Working with data scientists, data engineers, and other technical teams to support analytics maturity within the organization. Writing high-quality Python code following industry best practices for model training and deployment. Required Skills Good knowledge of software engineering best practices. Experience with … similar. Experience with version control systems (VCS) and CI/CD pipelines. Ability to identify opportunities to apply machine learning to solve business problems. Experience in developing predictive and prescriptive analytics (modeling, machine learning, data mining). Graduate or postgraduate qualification in engineering, mathematics, physics, statistics, or equivalent experience. Experience in finance, insurance, or eCommerce is a plus More ❯

that transforms customer experience. Our goal is to drive innovation and guide our clients' digital supply chain transformation journeys, leveraging innovative technologies such as AI/ML, predictive, and prescriptive analytics to enable decision automation and increased operational efficiency. We are a global team operating from various locations in Europe, North America, and India. We focus on consulting More ❯

work that transforms customer experience. Our goal is to drive innovation and guide our clients’ digital supply chain transformation journeys, leveraging innovative technology i.e., AI/ML, predictive and prescriptive analytics to enable decision automation and increased operational efficiency. We are a global team and operating from various locations in Europe, North America, and India. We focus on More ❯

work that transforms customer experience. Our goal is to drive innovation and guide our clients' digital supply chain transformation journeys, leveraging innovative technology i.e., AI/ML, predictive and prescriptive analytics to enable decision automation and increased operational efficiency. We are a global team operating from various locations in Europe, North America, and India. We focus on consulting More ❯

deliver Big Data solutions enabling advanced data science and analytics. This includes working with the team on new Big Data systems for analyzing data; the coding & development of advanced analytics solutions to make/optimize business decisions and processes; integrating new tools to improve descriptive, predictive, and prescriptive analytics. This role contributes to the structured and unstructured Big … Data/Data Science tools of Arity from traditional to emerging analytics technologies and methods. The role is responsible for assisting in the selection and development of other team members Key Responsibilities Participate in the development of moderately complex and occasionally complex technical solutions using Big Data techniques in data & analytics processes Develops innovative solutions within the team … Participates in the development of moderately complex and occasionally complex prototypes and department applications that integrate Big Data and advanced analytics to make business decisions Uses new areas of Big Data technologies, (ingestion, processing, distribution) and research delivery methods that can solve business problems Understands the Big Data related problems and requirements to identify the correct technical approach Takes More ❯

Applied AI ML Senior Associate - Machine Learning Center of Excellence - Time Series Reinforcement Learning Job Description The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights … the art machine learning models to solve real-world problems and apply it to tasks such as time-series analysis and modelling, constrained optimization and prediction for large systems, prescriptive analytics, and decision-making in dynamical systems. Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into More ❯

QA), and delivery, utilizing a hybrid build model with a trusted technology partner. The platform will enhance member identification, patient outreach and engagement, care coordination workflows, and reporting and analytics for patients with complex medical needs within the client's ecosystem. The project has an ambitious Minimum Viable Product (MVP) timeline of approximately 5-6 months, with a focus … files (for medication data). AI/ML Integration: Work closely with Careology's existing Product team to integrate AI/ML capabilities for enhanced risk stratification, predictive and prescriptive analytics, next-best-action guidance for navigators, call preparation, transcription, and conversational interfaces (e.g., Ask Careology for FAQs and research support). Required Skills and Experience Proven experience More ❯

Improvement: Stay on top of industry trends and best practices to drive innovation and continuous improvement in procurement orchestration. Find opportunities for process optimisation, automation and agentic AI, leveraging prescriptive analytics capabilities of Procurement Data Lake (where possible). Collaboration and Partner Engagement: Collaborate closely with industry technology partners, cross-functional teams, including LBPS operations, strategy and product More ❯

to articulate its value proposition to potential clients is highly desirable. A good understanding of and passion for Cloud, IoT/edge, Big Data, Digital Twin, AI, Predictive/Prescriptive Analytics, Smart Building solutions and emerging enterprise technologies. Excellent communication and negotiation skills, with the ability to build rapport and trust with prospective customers. Demonstrated ability to develop More ❯