11 of 11 Permanent Predictive Modelling Jobs in Bolton

must. AI Engineer Key Responsibilities: Develop and optimise AI-powered recommendation engines, chatbots, and virtual assistants to enhance customer experience and personalise interactions. Create predictive models for demand forecasting, inventory management, and dynamic pricing to optimise operations and reduce costs. Build machine learning models for content recommendation engines and More ❯

development, and implementation of advanced analytics models and algorithms to solve complex business problems. Ensure the accuracy, reliability, and validity of data insights and predictive models. Enable effective collaborate with cross-functional teams to identify opportunities for leveraging data to drive business growth and efficiency. Understanding customer behaviour and More ❯

Audio Division , acting as a strategic partner across digital, revenue, and marketing. You'll help shape the organisation’s data vision while leading on predictive modelling, experimentation, and insight delivery at scale. 🧩 What you’ll be doing: Build and lead a team of data scientists, analysts, and BI … engineers Own the strategy for how data is used to drive growth, engagement, and commercial outcomes Deliver predictive models to optimise audience targeting, content strategy, and advertising revenue Develop analytics products and tooling to support multiple business units Act as a key point of contact for European stakeholders and … insight for both technical and non-technical audiences 🔍 Key skills & experience: Strong expertise in SQL and Python Proven experience building and deploying statistical and predictive models Experience leading high-performing data science or advanced analytics teams Track record of influencing strategy through data Engaging, collaborative, and able to lead More ❯

where data will directly drive content strategy, monetisation, and organisational direction. The Role As Head of Data Science & Analytics, you will architect and deliver predictive modelling and analytics strategies to enhance audience engagement and optimise revenue streams. You will lead a growing team specialising in digital analytics, revenue … engineers across multiple analytics domains. Define, implement, and evangelise best practices across product, digital, revenue, and audience analytics. Oversee the design and deployment of predictive and statistical models, with particular emphasis on inventory management, customer behaviour analysis, and campaign optimisation. Build reusable frameworks for experimentation, dynamic pricing, and targeted … of 8 years’ experience in data science, analytics, or insight leadership roles. Expertise in SQL, A/B testing methodologies, and building statistical or predictive models. Proven success leading cross-functional teams within product, content, or commercial analytics environments. Strong stakeholder management capabilities, particularly in fast-paced, dynamic organisations. More ❯

in optimizing workflows, reducing technical debt, and modernizing legacy systems. • Automation and Efficiency: Developed automated solutions, including CI/CD pipelines, testing frameworks, and predictive models to enhance efficiency. • Collaboration and Impact: Demonstrated success in cross-functional teamwork and delivering high-impact, scalable projects across industries. Role Overview As More ❯

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: Develop predictive and statistical models to optimise inventory management, pricing strategies, and advertising sales performance. Analyse inventory turnover, sales rates, supplier lead times, and customer demand to inform stock and order management decisions. Create dynamic pricing models … driven decision-making across the business. Build scalable, reusable models and frameworks to inform long-term inventory and pricing strategy. Skills & Experience: Strong statistical modelling and predictive analytics expertise. Proficiency in SQL and Python (or R) for data manipulation and model development. Experience working with commercial, sales, or More ❯

to revolutionise the industry through Machine Learning and advanced pricing strategies. They are seeking a Pricing Data Scientist to develop sophisticated pricing models, optimize predictive capabilities, and enhance automation processes. This is an excellent opportunity for a data-driven professional eager to make a significant impact in a cutting … Python and SQL for data analysis and model development. Experience with pricing models, actuarial techniques, or risk modeling. Deep understanding of machine learning algorithms, predictive modeling, and statistical analysis. Hands-on experience in automating and deploying machine learning models. Proven ability to translate complex data into actionable pricing insights. More ❯

into commercial impact – this one’s for you. What you’ll do: Dig into complex datasets to uncover insights and trends Build and deploy predictive models that support business goals Present clear, impactful findings to senior leaders Work cross-functionally to deliver data projects end-to-end What you … ll bring: Strong experience with Python or R Proven track record with machine learning and predictive analytics Confidence turning data into decisions – and explaining it simply Commercial mindset and a drive to make data count Bonus points for: Background in customer engagement, BPO, or fast-paced service industries Degree More ❯

a quantitative discipline. Strong programming skills in R and Python. A well-rounded data science skill set including the ability to build/maintain predictive models and explain model processes/outputs. Ability to communicate effectively with a wide range of stakeholders and build strong business relationships as a … tuning transformer-based AI models. Experience of managing the demands and various stakeholders within a highly matrixed business environment. Ability to build/maintain predictive models and explain model processes/outputs. Desirable PHD level qualification or equivalent Sound like the role you have been looking for? The apply More ❯

unlock deeper audience insights, optimise engagement, and drive smarter decision-making across their Audio Division . 🔍 What you’ll be doing: Build and deploy predictive models to understand customer behaviour, loyalty, and segmentation Analyse user journeys across digital and audio platforms to improve engagement Support optimisation of ad inventory … ll need: Proficiency in SQL and Python Strong experience in product or customer analytics Hands-on with A/B testing , experimentation, and uplift modelling Excellent problem-solving skills and the ability to turn complex data into clear insight Experience in media, gambling, or digital B2C industries is a More ❯

are seeking a Machine Learning Engineer to join on an initial 6-month contract to assist in the firms portfolio optimisation, risk management, and predictive modelling. You will be working alongside them through one of our consultancy partners who have recently won the bid for the project. The end … operate primarily in an Azure environment hence demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction More ❯