101 to 125 of 321 Predictive Modelling Jobs in the UK excluding London

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 more informed decisions. You'll lead FP&A in a company that's exploring how big data, automation, and AI can elevate financial planning. Whether it's building predictive models, refining data pipelines, or embedding forecasting logic directly into tools, this role is designed for someone with technical competence and creative curiosity. Key responsibilities: Forecasting & Performance Insight Lead More ❯

active role in business development Reporting, Data, Insight & Evaluation Ensure that our data is accurate, reliable, and compliant. Support the data science team in the development and deployment of predictive models, machine learning algorithms and integration of new AI solutions in partnership with the CLT. Spearhead the creation of actionable insights and reports to support strategic decision-making across More ❯

developing and delivering high-quality analytical insights to support performance, demand management, and organisational change. This role requires a strong understanding of advanced analytical methods, including statistical analysis, data modelling, and business intelligence technologies. Key responsibilities will include: Designing and developing interactive dashboards and business intelligence applications that translate complex data into meaningful insights. Supporting the evaluation of business … change initiatives through the extraction, manipulation, and interrogation of data. Applying predictive modelling, operational research, and other advanced techniques to inform strategic direction. Advising stakeholders at all levels on data-led solutions that enable effective decision-making. Identifying emerging trends in analytics and supporting the professional development of colleagues in the field. Engaging with internal and external analytical … communication, interpersonal, and stakeholder management capabilities. Desirable: Postgraduate qualification in business intelligence or a relevant specialism. Understanding of public sector operations or experience in a comparable environment. Knowledge of predictive analytics and programming languages relevant to data science. This role offers an excellent opportunity for a data-driven professional to apply their skills in a challenging and rewarding environment More ❯

developing and delivering high-quality analytical insights to support performance, demand management, and organisational change. This role requires a strong understanding of advanced analytical methods, including statistical analysis, data modelling, and business intelligence technologies. Key responsibilities will include: Designing and developing interactive dashboards and business intelligence applications that translate complex data into meaningful insights. Supporting the evaluation of business … change initiatives through the extraction, manipulation, and interrogation of data. Applying predictive modelling, operational research, and other advanced techniques to inform strategic direction. Advising stakeholders at all levels on data-led solutions that enable effective decision-making. Identifying emerging trends in analytics and supporting the professional development of colleagues in the field. Engaging with internal and external analytical … Excellent communication, interpersonal, and stakeholder management capabilities. Postgraduate qualification in business intelligence or a relevant specialism. Understanding of public sector operations or experience in a comparable environment. Knowledge of predictive analytics and programming languages relevant to data science. This role offers an excellent opportunity for a data-driven professional to apply their skills in a challenging and rewarding environment More ❯

Hiring: Quantitative Developers – Sports Modelling | London | £70k-£130k + Bonus A high-performing, close-knit team of researchers and software developers is looking to add Mid-Level and Senior Quantitative Developers to their growing group. This firm trades on global sports markets using cutting-edge statistical modelling and high levels of automation. Location: Central London (5 days a … week, with some flexibility) Salary: Up to £130,000 + 20% Bi-Annual bonus + benefits What you'll do: Build predictive models for sports outcomes (e.g. football, tennis, cricket) Apply rigorous statistical techniques to large real-world datasets Contribute directly to trading strategies in a high-impact, low-bureaucracy setting What we're looking for: MSc/PhD … Maths, Stats, Physics, Computer Science) Strong experience working with real-world data Proficiency in Python (mandatory); R, MATLAB, and C# are a plus Deep understanding of probability, statistics, and modelling Experience in a Quant role Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and real More ❯

with a strong background in 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 performance. This is a … for someone who enjoys exploring 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 into the main product More ❯

that directly drive campaign performance, 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’s capabilities. Client-Facing Influence: Present technical concepts clearly to both technical and non-technical … A/B testing. Strong communication skills and ability to translate complex analyses into actionable insights. Nice-to-Haves: Familiarity with marketing-specific measurement models such as Media Mix Modelling (MMM). Knowledge of model versioning (e.g. MLFlow), API frameworks (FastAPI), or building dashboards (e.g. Dash or Streamlit). The Opportunity: You’ll work across multiple industries and household More ❯

environments into Azure Cloud Maintain and synchronize Dev, Test, and Production environments using DevOps principles Drive improvements in data quality, access controls, and security compliance Support analytics, BI, and predictive modelling teams with infrastructure and documentation Monitor and troubleshoot production issues, implementing preventative solutions Mentor a junior data engineer and serve as a technical lead for data tooling … SQL-based production environments (DBA/Data Engineering) Strong SQL/T-SQL skills for dynamic data warehouse processes Expertise in Azure, SSIS, and Databricks Solid understanding of data modelling, integration, and transformation Experience managing CI/CD pipelines and DevOps workflows Strong communication skills and a problem-solving mindset Desirable Skills Experience working with large, multi-source datasets … Offer? A key leadership opportunity within a growing data function The chance to shape long-term cloud and data infrastructure strategy Projects spanning data engineering, BI, and AI/predictive analytics Exposure to international operations and collaborative cross-functional teams Additional Information Seniority level: Mid-Senior level Employment type: Full-time Job function: Analyst Industries: Data Infrastructure and Analytics More ❯

giving Markerstudy a critical advantage 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 plan across Motor & Home portfolios … Experience: Experience managing general insurance 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 different packages for some of More ❯

domains. Collaborate closely with stakeholders, ensuring technical solutions are well- communicated and drive real business impact. What We're Looking For A strong foundation in data structures, algorithms, data modelling, and software architecture. Solid hands- on experience in Python and its ecosystem ( Jupyter, Pandas, Scikit- learn, Matplotlib), and comfort working with SQL for data analysis. Experience with LangChain is … based products into production environments, with an understanding of both model evaluation and productionisation challenges. Expertise in statistics, hypothesis testing, sampling techniques, and anomaly detection, along with experience applying predictive modelling and regression analysis. Excellent communication and stakeholder management skills, with the ability to juggle multiple projects and guide cross- functional teams through ML solution delivery. Access bespoke More ❯

positive, tangible outcomes. There is a significant opportunity to join our group of data experts, advanced analytics solutions engineering, and analytics consulting practices, where you will support descriptive and predictive modelling (including Machine Learning), as well as solving complex mathematical optimisation challenges, primarily related to Asset Investment Planning. Our projects span multiple sectors and the entire asset life More ❯

positive, tangible outcomes. There is a significant opportunity to join our group of data experts, advanced analytics solutions engineering, and analytics consulting practices, where you will support descriptive and predictive modelling (including Machine Learning), as well as solving complex mathematical optimisation challenges, principally related to Asset Investment Planning. Our projects span multiple sectors and the entire asset life 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 ❯

better serve our diverse customer needs. This role is responsible for leading the use of data to make decisions. This includes: the development and execution of new machine learning predictive modeling algorithms, the coding/development of tools that use machine learning/predictive modeling to make business decisions, searching for and integrating new data (both internal and … our modeling and machine learning results (and ultimately our business decisions), and discovery of solutions to business problems that can be solved through the use of machine learning/predictive modeling. This role will also manage projects of medium complexity. Job Description Key responsibilities: Uses best practices to develop statistical, machine learning techniques to build models that address business … and works on data and business problems in order to improve the effectiveness of business decisions and business results through designing, building, and partnering to implement machine learning/predictive models. Understands the business' problems to identify the optimal modeling approach. Identifies languages and tools that can bring efficiencies or needed techniques to the team Utilizes effective project planning More ❯

looking for a Data Scientist to join their growing team and help drive data-driven decision-making across the organization. You’ll be responsible for analysing complex datasets, building predictive models, and deploying scalable data solutions using cutting-edge technologies. Responsibilities • Create, test, and implement anomaly detection algorithms and prediction models for early problem identification and failure avoidance in 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯