101 to 125 of 284 Predictive Modelling Jobs in England

What You'll Be Doing: As a Data Scientist, your responsibilities will include: Collecting, analyzing, and interpreting large datasets to solve business challenges. Building predictive models and machine learning algorithms to inform product and business decisions. Collaborating with developers, engineers, and product teams to integrate data-driven solutions. Conducting More ❯

experts. Participate in different projects as a data scientist and data engineer Deliver clean, well-tested code that's reliable, maintainable, and scalable Build predictive models and communicate results with stakeholders Deploy working solutions Develop dashboards and other visualizations for financial experts. Develop processes for data collection, quality assessment More ❯

commercial, product, and engineering, to build automated ML/AI solutions that will provide tangible benefits for Travel Counsellors. Principal Accountabilities Build and deploy predictive models for optimising pricing, personalised recommendations, and operational efficiencies. Collaborate with data and software engineers to operationalise ML models within our wider technology platform More ❯

on Machine Learning, Statistics, Operational research or in a highly quantitative field. 5+ years of hands-on experience in big data, machine learning and predictive modeling. 3+ year people management and cross department functional experience. Knowledge of a statistical analysis package such as R, Tableau, and high-level programming More ❯

of anti-fraud, investigations, anti-bribery and corruption, and regulatory requirements analysis skillsets Proven knowledge and experience using advanced analytic tools for data visualization, predictive modeling, data management, ETL, data aggregation, and dynamic reporting Hands-on technical experience mining and analyzing structured data with a strong working knowledge of More ❯

their best-in-class data science capability and deep expertise across FMCG and retail sectors. As a Senior Data Scientist, you’ll apply advanced modelling techniques to drive impactful, data-led solutions for major consumer brands. THE COMPANY This consultancy has built a reputation for delivering high-quality analytics … data. THE ROLE As a Senior Data Scientist, you’ll work closely with clients to understand their customer behaviour through deep data analysis and predictive modelling. You’ll leverage tools such as Python, PySpark, SQL , and Hadoop to build and deploy models that influence customer strategy across areas like … to best practices YOUR SKILLS & EXPERIENCE To be considered for this role, you will ideally have: Solid experience working with customer data and applying predictive modelling techniques Proficiency in SQL , Python/PySpark , and exposure to big data environments such as Hadoop Commercial experience in the FMCG or More ❯

in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and Reinforcement Learning, fostering a collaborative learning environment. Our focus is on modelling and problem-solving, leveraging advanced machine learning techniques to create solutions to challenging business problems. We prioritise clean, well-tested code with a culture … concepts to non-technical audiences Required Experience Leading E2E projects, from inception, planning/prioritisation to delivery including monitoring and alerting Designing experiments and modelling to generate actionable insights and enhance business performance Proficient in machine learning and statistical methods for predictive modelling and forecasting Experience deploying More ❯

you’ll play a pivotal role in revolutionising marketing strategies through cutting-edge Data Science and Machine Learning solutions. What You’ll Do Build predictive models for campaign optimisation, forecasting, and price elasticity analysis. Support junior data scientists while contributing to high-impact projects. Create and implement AI-driven More ❯

of AI-powered analytics for autonomous robotic systems. Key Responsibilities: Develop and implement machine learning algorithms, focusing on multimodal data integration. Design and deploy predictive models for condition monitoring of high-voltage assets. Collaborate with cross-functional teams to integrate AI solutions into autonomous robotic systems. Analyze large datasets More ❯

variety of features to deal with different data types and meet the customer needs. Among our current challenges are building time series forecast engines, predictive models, enhance user's experience using AI/ML, big data text mining/analysis as well as statistical challenges and maintaining high algorithm More ❯

Plotly). Experience in behavioural analytics software (Google Analytics or similar) Experience in Python, R, or advanced statistical analysis (e.g., A/B testing, predictive modeling, statistical significance). Proven track record of mentoring and coaching junior analysts, acting as a subject matter expert in business analytics. WHO WE More ❯

. Experience in behavioural analytics software (Google Analytics or similar). Experience in Python, R, or advanced statistical analysis (e.g., A/B testing, predictive modeling, statistical significance). Proven track record of mentoring and coaching junior analysts, acting as a subject matter expert in business analytics. WHO WE More ❯

sources to uncover trends and insights that inform key business strategies across finance, retail, and healthcare sectors. Support decision-making : Use statistical methods and predictive models to assist clients in making data-driven decisions that improve their performance and efficiency. Create data visualisations : Design and maintain interactive dashboards and … working with clients in finance, retail, or healthcare, and familiarity with sector-specific data challenges. Exposure to advanced analytics : Knowledge of machine learning techniques, predictive modeling, or advanced statistical analysis. Problem-solving approach : A proactive, solution-oriented mindset, with the ability to think critically and creatively. The Benefits: Diverse More ❯

sources to uncover trends and insights that inform key business strategies across finance, retail, and healthcare sectors. Support decision-making : Use statistical methods and predictive models to assist clients in making data-driven decisions that improve their performance and efficiency. Create data visualisations : Design and maintain interactive dashboards and … working with clients in finance, retail, or healthcare, and familiarity with sector-specific data challenges. Exposure to advanced analytics : Knowledge of machine learning techniques, predictive modeling, or advanced statistical analysis. Problem-solving approach : A proactive, solution-oriented mindset, with the ability to think critically and creatively. The Benefits: Diverse More ❯

forecasting experience is required by a leading company in Manchester. As the Data Scientist, you will be responsible for defining & shaping of all financial modelling and forecasting to enhance decision making, deliver more targeted acquisition, and deliver profitable growth. Tools wise they are using SQL, Python & R, so you … this is an area that they want to move into, so something that will huge for them in the coming years Experience required Proven predictive modelling, forecasting and analytical experience with strong SQL, Python & R skills Some awareness of Machine Learning and the advantages of using machine learning … give a better ROI and help define the overall strategy Data Scientist Responsibilities Responsible for the definition, shaping and ongoing maintenance of all financial modelling and forecasting to enhance decision making, deliver more targeted acquisition and ultimately deliver profitable growth. Undertake specialised analysis to model historical data and provide More ❯

the continuous improvement of process. As a Senior Pricing Analyst, you will use your advanced analytical skills to: Conducting retail price optimisation analysis/modelling developing customer propensity and Life Time Value (LTV) models to produce the different models and SAS or SQL for data analysis Create innovative data … strategic changes to prices to meet budget requirements. Key Skills and Experience: Previous experience within general insurance 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 Experience in statistical and data science More ❯

analytical requirements of the Force. Translates these requirements into effective data models, marts and structures that will support the production of the Forces' analytics, predictive modelling and reporting capabilities. Provides expert input into the adoption and application of appropriate analytical techniques to create information which supports Force in More ❯

techniques (e.g. computer science/engineering, statistics, applied math). Fluency in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and predictive modeling. Strong quantitative and analytical skills with significant experience with data science tools. Ability to communicate complex ideas in machine learning to non-technical More ❯

looking to make the step up, or someone with experience in a similar role within data science. The Role Led campaign reporting and RFM modelling, working with the internal tech stack (including CRMs, booking/loyalty platforms and PowerBI for visualisation) Drive proactive predictive modelling elements that More ❯

looking to make the step up, or someone with experience in a similar role within data science. The Role Led campaign reporting and RFM modelling, working with the internal tech stack (including CRMs, booking/loyalty platforms and PowerBI for visualisation) Drive proactive predictive modelling elements that More ❯

the London Market Analytics team, overseeing data scientists, engineers, and technical experts to deliver impactful, analytics-led solutions. Partner with underwriting stakeholders to design predictive models and tools that enhance decision-making and portfolio profitability. Drive the development and deployment of advanced analytics techniques including GLMs, GBMs, NLP, and More ❯

the London Market Analytics team, overseeing data scientists, engineers, and technical experts to deliver impactful, analytics-led solutions. Partner with underwriting stakeholders to design predictive models and tools that enhance decision-making and portfolio profitability. Drive the development and deployment of advanced analytics techniques including GLMs, GBMs, NLP, and More ❯

and maintain documentation for BI solutions and data models. Identify opportunities for process improvements and automation within the sales operations workflow. Assist in building predictive models to enhance sales forecasting accuracy. Support ad-hoc analytical requests from stakeholders across the organization. Required Skills and Experience Strong SQL skills with More ❯

with machine learning (ML) and AI frameworks, particularly within Databricks (e.g., MLflow, AutoML, or PyTorch/TensorFlow). Understanding of AI-driven analytics and predictive modeling to enhance BI solutions. Think you can make a difference? WE ARE your future. More details: Full time, permanent role Competitive salary Hybrid More ❯

Data Scientist, you will play a pivotal role in shaping our data science function, ensuring we deliver best-in-class machine learning, optimisation, advanced & predictive analytics, and experimentation & measurement solutions. This is a unique opportunity to take ownership of our data science efforts, influence the direction of the team … new standards for excellence. Reporting directly to the Director of Data, you will oversee the execution of high-impact projects, covering areas such as predictive modelling, customer lifetime value and segmentation, bidding optimisation, and advanced experimentation. You will act as a data lead for key clients, taking responsibility … projects are delivered effectively and drive meaningful results. About you: You are an experienced data scientist with a strong background in machine learning, statistical modelling, and optimisation techniques. You thrive in fast-paced environments and have a proven track record of delivering data-driven solutions that create real value. More ❯