326 to 350 of 678 Predictive Modelling Jobs in England

Cloud provider Deep understanding of Natural Language Processing/Generative AI/Image Recognition Extensive experience with machine learning techniques and algorithms such as supervised and unsupervised learning techniques, predictive modelling and statistics. Experience with MLOps Excellent organisation skills, working independently and ability to deliver results for deadlines. A proactive, innovative, pragmatic approach to problem-solving and an More ❯

and performance. Strategy Optimisation: Conduct impact assessments on credit strategies and recommend enhancements to improve decision-making. Cross-functional Collaboration: Partner with Product, Engineering, and Data Science to develop predictive models, build product features, and refine risk processes. Collections Strategy: Support collections and recovery initiatives with data-backed insights and strategy development. Proven experience in decision science, credit risk … analytics, data modelling and AI, ideally within financial services or fintech. Strong understanding of risk disciplines including unit profitability evaluation, pricing, risk appetite setting, and credit policy design. Experience with B2B/SME lending is highly desirable, though not essential. Demonstrated ability to influence and collaborate with cross-functional teams and senior stakeholders. Strong leadership and people management skills More ❯

AI/ML systems). Proven track record of designing and implementing large-scale, distributed AI systems. Deep understanding of AI and machine learning (natural language processing, computer vision, predictive modelling). Extensive experience with cloud platforms (AWS, Google Cloud, Azure) and their AI/ML offerings. Strong programming skills (Python, Java, C++) and experience with DevOps practices More ❯

and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Support the data science team by preparing data for prescriptive and predictive modelling. Knowledge and Experience 7+ years of experience as a Data Engineer or in a similar role Experience in managing a team of Data Engineers Experience with Data modelling More ❯

Location: London hybrid About the Company: A super interesting start-up that is on a mission to take on some of the most complex challenges in the field of predictive models, fraud detection, and AI-powered insights. What You’ll Do: As a Senior Data Scientist, you will own the product and lead the development of AI features. You … DBs Leveraging big data efficiently to create actionable insights Working with large documents, data infrastructure, and containerization Investigating fraud and ethics reports, transforming raw data into meaningful insights Developing predictive models that go beyond the basics, focusing on real-world applications Using Python to build robust, scalable solutions About You: You have experience as a Data Scientist, preferably at … a start-up or fast-growing company You have a deep understanding of ML, NLP, graph databases, and predictive modeling You can work independently and enjoy taking ownership of your projects You’re not just a theorist, you can build solutions and make things happen You’re a strong problem solver and know how to dig into raw data More ❯

we are looking for you to demonstrate include: 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 trusted partner. Ability to deal … building and/or fine-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. PHD level qualification or equivalent Sound like the role you have been looking for? The apply today to find out more! Equality More ❯

ad hoc analytic requests for OLTP and OLAP systems in an accurate and efficient manner. • Responsible for reviewing and optimization of SQL queries and investigating database performance issues. • Support Predictive Modeling, Forecasting and mentor young team consisting of data engineers, data visualization experts and data analytics professionals. Requirements: • Bachelor’s or Master’s Degree in Computer Science, Business Administration More ❯

and clean large volumes of structured and unstructured data from various sources. Apply statistical, machine learning and traditional and generative AI techniques to analyse data, identify patterns, and develop predictive models. Create visual representations of data to communicate insights and findings to non-technical stakeholders. Interpret data analysis results to provide actionable insights and recommendations for business decisions. Work More ❯

and clean large volumes of structured and unstructured data from various sources. Apply statistical, machine learning and traditional and generative AI techniques to analyse data, identify patterns, and develop predictive models. Create visual representations of data to communicate insights and findings to non-technical stakeholders. Interpret data analysis results to provide actionable insights and recommendations for business decisions. Work More ❯

technical audiences through written reports and verbal presentations. Work closely with engineering, product, and executive teams to integrate models into production systems. Drive innovation in data usage across analytics, predictive modeling, and decision systems. What We’re Looking For: 8+ years of data science experience, including 2+ years in leadership roles. Expertise in machine learning, statistics, and large-scale More ❯

Creative problem-solving skills and the ability to prioritize in a fast-paced environment. Nice To Have But Not Essential Experience applying AI/machine learning techniques and building predictive models. Knowledge of the FinTech ecosystem. The salary range for this role is £60,000 - £75,000. Additional Information We believe in diversity, equity, and inclusion. Our international team More ❯

highly skilled professionals. Senior Data Scientist Responsibilities: Partner with engineering and technology teams to identify opportunities for applying data science techniques to deliver measurable business value. Develop and deploy predictive models, time-series forecasting, and natural language processing solutions to address real-world operational challenges. Design and implement scalable data pipelines and frameworks to ensure data quality, accuracy, and More ❯

through intelligent automation and data modernization. Key Responsibilities Data Strategy & Analytics Implementation •Design and execute enterprise data strategies to create unified data architectures •Advise on advanced analytics solutions including predictive modeling, machine learning, and AI algorithms •Develop data governance frameworks and establish data quality standards •Create self-service analytics capabilities and democratize data access across organizations AI & Machine Learning More ❯

through intelligent automation and data modernization. Key Responsibilities Data Strategy & Analytics Implementation • Design and execute enterprise data strategies to create unified data architectures • Advise on advanced analytics solutions including predictive modeling, machine learning, and AI algorithms • Develop data governance frameworks and establish data quality standards • Create self-service analytics capabilities and democratize data access across organizations AI & Machine Learning More ❯

platforms (SQL, Python, etc.) Solid understanding of machine learning algorithms and experience creating stochastic models Knowledge of UK and/or European energy markets, particularly energy flexibility Experience building predictive models using a range of data sources (internal and external) Familiarity with how heating systems behave and are controlled - especially air-to-water heat pumps and hot water systems More ❯

platforms (SQL, Python, etc.) Solid understanding of machine learning algorithms and experience creating stochastic models Knowledge of UK and/or European energy markets, particularly energy flexibility Experience building predictive models using a range of data sources (internal and external) Familiarity with how heating systems behave and are controlled - especially air-to-water heat pumps and hot water systems More ❯

Data Exploration and Visualization: Explore and visualize data using advanced techniques to uncover insights and trends. Statistical Analysis: Apply statistical and mathematical techniques to provide robust analytical foundations for predictive modeling. Machine Learning and Deep Learning: Develop and implement machine learning and deep learning models to address business challenges. ML-Ops/AI-Ops: Demonstrate expertise in ML-Ops More ❯

RAG, agents) Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have experience productionising machine learning models Are an expert in one of predictive modeling, classification, regression, optimisation or recommendation systems Have experience with Spark Have knowledge of DevOps technologies such as Docker and Terraform and ML Ops practices and platforms like ML More ❯

the technical level of the audience - with actionable insights and recommendations Applying statistical techniques such as regression modeling to quantify the impact of variables affecting historical performance, and build predictive models for future performance, as well as applying statistical tests to validate the robustness of recommendations What You Need To Apply CV & Cover Letter - Why Ocado Retail? Why this More ❯

a small, collaborative team of engineers and data scientists on-site 2 days per week in Central London. The work focuses on traditional ML use cases, such as: Optimisation modelling to improve manufacturing throughput Predictive modelling to anticipate and reduce asset downtime Customer churn prediction and mitigation Next-best-action modelling for sales agents Geospatial modelling … top university in a quantitative discipline (Master's preferred) Based in London and able to attend the client site 2 x per week. Nice-to-Haves: Experience with geospatial modelling, time series forecasting, or operational optimisation DBT Interviews are taking place this week. Start ASAP. Please email Contract Senior Data Scientist/ML Engineer £600-800/day | Outside … a small, collaborative team of engineers and data scientists on-site 2 days per week in Central London. The work focuses on traditional ML use cases, such as: Optimisation modelling to improve manufacturing throughput Predictive modelling to anticipate and reduce asset downtime Customer churn prediction and mitigation Next-best-action modelling for sales agents Geospatial modelling More ❯

ground running - technically, commercially, and operationally. You'll lead the charge in shaping how data is used across the business, with the freedom to introduce more advanced analytics, support predictive modelling ambitions, and act as a trusted business partner across supply chain, retail operations, and finance. What you'll be doing: Acting as the go-to analytical expert … across the business, replacing a long-tenured internal knowledge owner. Leading and delivering insight from large datasets - manipulating, modelling, and interpreting using tools like Python, SQL, and Excel. Working side-by-side with colleagues in operations, supply chain, merchandising, and finance to support better, faster decisions. Helping shape the long-term analytics strategy, including future moves into predictive modelling and data science. Playing a key role in modernising how the business leverages analytics - hands-on and collaborative from day one. What we're looking for: Strong experience in data analysis, modelling, or analytics leadership within a multi-site retail, distribution, or operational environment. Hands-on technical ability in Python, SQL, Excel - with a mindset for More ❯

ground running - technically, commercially, and operationally. You'll lead the charge in shaping how data is used across the business, with the freedom to introduce more advanced analytics, support predictive modelling ambitions, and act as a trusted business partner across supply chain, retail operations, and finance. What you'll be doing: Acting as the go-to analytical expert … across the business, replacing a long-tenured internal knowledge owner. Leading and delivering insight from large datasets - manipulating, modelling, and interpreting using tools like Python, SQL, and Excel. Working side-by-side with colleagues in operations, supply chain, merchandising, and finance to support better, faster decisions. Helping shape the long-term analytics strategy, including future moves into predictive modelling and data science. Playing a key role in modernising how the business leverages analytics - hands-on and collaborative from day one. What we're looking for: Strong experience in data analysis, modelling, or analytics leadership within a multi-site retail, distribution, or operational environment. Hands-on technical ability in Python, SQL, Excel - with a mindset for More ❯

ground running - technically, commercially, and operationally. You'll lead the charge in shaping how data is used across the business, with the freedom to introduce more advanced analytics, support predictive modelling ambitions, and act as a trusted business partner across supply chain, retail operations, and finance. What you'll be doing: Acting as the go-to analytical expert … across the business, replacing a long-tenured internal knowledge owner. Leading and delivering insight from large datasets - manipulating, modelling, and interpreting using tools like Python, SQL, and Excel. Working side-by-side with colleagues in operations, supply chain, merchandising, and finance to support better, faster decisions. Helping shape the long-term analytics strategy, including future moves into predictive modelling and data science. Playing a key role in modernising how the business leverages analytics - hands-on and collaborative from day one. What we're looking for: Strong experience in data analysis, modelling, or analytics leadership within a multi-site retail, distribution, or operational environment. Hands-on technical ability in Python, SQL, Excel - with a mindset for More ❯

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: 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 based on supply, demand, seasonality, and campaign data. Deliver actionable insights that maximise revenue opportunities … supply teams to embed data-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 inventory datasets. Strong stakeholder management More ❯

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: 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 based on supply, demand, seasonality, and campaign data. Deliver actionable insights that maximise revenue opportunities … supply teams to embed data-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 inventory datasets. Strong stakeholder management More ❯