15 of 15 Predictive Analytics Jobs in Bournemouth

Data Scientist – Inventory & Pricing Analytics Location: Manchester (Hybrid – 2 days onsite) Salary: £60,000–£90,000 The Company A global content powerhouse is building a next-generation analytics hub, reshaping how millions interact with digital media across publishing, audio, and out-of-home platforms. With data at the … hiring a Data Scientist to focus on optimising one of their largest revenue streams—advertising inventory. The Role As a Data Scientist – Inventory & Pricing Analytics, you will play a pivotal role in optimising the company's advertising inventory, pricing models, and revenue performance. You will work across datasets covering … sales activity, inventory levels, supplier lead times, and customer demand to develop predictive models that inform effective pricing and stock management strategies. This role demands both technical acumen and commercial awareness, as you’ll directly impact profitability through smarter pricing, stock optimisation, and predictive inventory management. Key Responsibilities More ❯

The Role: We’re looking for a Senior Full stack Engineer with a strong background in analytics, data pipelines, and marketing automation . You’ll lead the development of data-driven features , enabling enterprises to measure and optimize their digital business card interactions. As part of this role, you … ll help migrate our backend from Flask to Django , ensuring a scalable and well-structured API design. Responsibilities Design and develop analytics and reporting tools , providing insights into user engagement and marketing performance. Build and optimize data pipelines for tracking and processing user interactions. Work closely with co-founders … and product leaders to architect new marketing and analytics features . Support the migration from Flask to Django Adapt RESTful APIs to support integrations with CRM, marketing automation, and analytics platforms. Enhance the frontend using React and TypeScript , ensuring intuitive visualization of analytics data. Implement event tracking More ❯

Python programming with a focus on data manipulation and engineering. A genuine interest in data science and a drive to expand your skillset into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimising workflows. Excellent communication and teamwork abilities … to thrive in a dynamic consultancy environment. Data modelling experience and understanding of the Kimball methodology Desirable Expertise: DP-600 – Fabric Analytics Engineer Associate PL-300 – Power BI Data Analyst Associate Responsibilities: On a daily basis your varied role will include, but will not be limited to: Design, build More ❯

and Tools) to join our team. This is an exciting opportunity to drive innovation in quality assurance through the implementation of software tools, data analytics, and collaboration with cross-functional teams in engineering, manufacturing, and quality management. This role places you at the heart of a high-tech, international … contributions will directly improve product assurance processes. You’ll have the chance to develop expertise in systems such as SAP, business intelligence platforms, and analytics tools—while also delivering training, driving continuous improvement, and helping predict and prevent quality issues. If you’re passionate about making a tangible impact … Lead the optimisation and integration of SAP systems—particularly the Quality Management (QM) module—to support quality assurance improvements and software change activities. Data Analytics and Innovation: Apply business intelligence and data analytics tools to solve quality challenges, including predictive analytics for early issue detection. Training More ❯

related features, based on market trends, customer needs, and business priorities. Gather and analyse feedback from customers and stakeholders to refine product direction. Use analytics to inform feature enhancements and prioritise the product backlog. Collaborate with engineering and data teams to ensure robust data collection, storage, and reporting, while … ensuring compliance with data privacy regulations. Explore and implement AI-driven insights, predictive analytics, and automated reporting capabilities. Define and prioritise product features, write user stories and acceptance criteria, and manage trade-offs for maximum impact. Act as a liaison between business stakeholders and development teams, ensuring clear … with cross-functional teams. Excellent communication skills, with the ability to translate technical concepts into customer-focused requirements. Strong analytical skills and experience with analytics tools (e.g., Power BI). Ability to manage multiple projects in a fast-paced environment. Passion for building products that solve real customer problems. More ❯

environments. Key Responsibilities: * Own the full machine learning lifecycle-from exploration through to production. * Design and implement models for anomaly detection, forecasting, recommendations, and predictive analytics. * Collaborate closely with Product, Engineering, and Data teams to embed ML into customer-facing features. * Run experiments, test hypotheses, and continuously improve model More ❯

As a Pricing Analyst, you will use your advanced analytical skills to: Monitor our portfolio and deliver innovative pricing solutions, Use a blend of predictive analytics and commercial acumen to distil key trends and identify pricing actions, Contribute to the profitability of the products by meeting loss ratio … long-term goals of the company. Key Skills and Experience: Previous experience within Personal Lines Pricing is advantageous 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 programming More ❯

two years. With a team of 30 people, they are scaling quickly, supported by recent funding and a strong growth pipeline. They specialise in predictive analytics, tracking KPIs for a wide range of companies and industries. Their insights empower investors to make informed decisions by providing performance data More ❯

and product evolution. What You'll Be Doing Design, build, and maintain scalable data pipelines and integration's between platforms (e.g. CRM, customer success, analytics tools). Develop automated data workflows that support dashboards, health scoring, churn models, and other predictive analytics. Own system integration and data ingestion More ❯

NHS Systems Data: Work directly with NHS data sources and ensure seamless integration of systems like UDAL, NCDR, SUS+, HES, and ODS into our analytics platform. System Performance: Monitor and enhance the performance of our data systems to ensure reliability and responsiveness. Collaboration: Partner with data scientists, analysts, and … to non-technical stakeholders. Proven experience working in cross-functional teams to deliver data-driven insights that support healthcare decision-making. Desirable Skills: Advanced Analytics Integration: Experience integrating data engineering workflows with analytics platforms, including familiarity with business intelligence tools (e.g., Power BI, Tableau) and predictive analytics. More ❯

data analytics. This role offers the chance to apply advanced ML techniques to real-world challenges within the utilities sector, delivering meaningful outcomes through predictive analytics. The successful candidate will join a growing data and modelling team, contributing to a cloud-based platform used to monitor and forecast network … complex datasets, designing scalable data processes, and integrating intelligent features into production systems. Key Responsibilities: Work with time series and sensor data to develop predictive models Carry out exploratory data analysis and visualisation to uncover insights Collaborate with domain specialists to guide modelling strategies Lead integration of ML models … deployment of new features Support team-wide development through code sharing and feedback What youll bring: Over 3 years of practical experience in data analytics and machine learning Strong Python skills, with experience using libraries like Pandas and Scikit-learn (or similar) Familiarity with data exploration tools and visualisation More ❯

Job Title: Solutions Architect (Data Analytics)-Pre-sales, RFP creation Location: London (3days/week onsite) Duration: Permanent Responsibilities: 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake … database administration Ability to implement common data management and reporting technologies, as well as the Columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics. Excellent organizational and analytical abilities. Outstanding problem solver. Good written and verbal communication skills. A minimum of 5 years’ experience in a similar More ❯

customer engagement, and revenue growth for some of the world's biggest brands. What You’ll Be Doing: Build & Optimise Models: Design and implement predictive models including causal AI campaign modelling, forecasting engines, pricing elasticity models, and recommender systems. 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 ❯

Fluency in English and German, both written and spoken. Strong knowledge of digital banking and financial services. Working knowledge of AI, machine learning, and predictive analytics. Conversational understanding of architecture, analytics, Linux, Java, and SQL. Experience in managing RFIs, RFPs, and proof of concepts. Ability to tailor demos More ❯

use by healthcare providers and retailers Developing reusable components for a modular, data-rich platform It’s a plus if you’ve worked with: Predictive systems or analytics-heavy dashboards Front-end performance or data visualisation challenges Why this team? Real-world impact: your work will be used More ❯