26 to 50 of 875 Predictive Modelling Jobs in the UK

Data Scientist (Predictive Analytics Specialist) Location: Hybrid working, minimum 2 days in the Manchester (Salford Quays) Office Reports to: Head of Data Salary: £50K, plus target bonus of 8% About Pearson: Learning is no longer just a stage of life but a lifelong journey. In an era where AI … on-prem to cloud based, cost effective, scalable and resilient services. About The Role: We are seeking a talented Data Scientist to drive our predictive analytics capabilities across commercial and operational processes. The successful candidate will apply advanced analytical techniques to forecast trends, optimise performance, and inform strategic decisions. … will work closely with cross-functional teams to enhance data-driven decision-making and contribute to the continuous improvement of our operations. Key Responsibilities: Predictive Modelling: Develop and implement predictive models to forecast key metrics such as sales performance, customer and learner behaviour, and operational efficiency. Data More ❯

R) for data manipulation and analysis. · Understanding of emerging technologies, including automation, ML and AI to facilitate data analytics. · Experience with advanced analytics techniques (predictive modelling, segmentation). When you join the JLA family, you'll also gain access to an extensive benefits package. We care about our More ❯

R) for data manipulation and analysis. · Understanding of emerging technologies, including automation, ML and AI to facilitate data analytics. · Experience with advanced analytics techniques (predictive modelling, segmentation). When you join the JLA family, you'll also gain access to an extensive benefits package. We care about our More ❯

R for data manipulation and analysis. Understanding of emerging technologies like automation, ML, and AI in data analytics. Experience with advanced analytics techniques, including predictive modeling and segmentation. Benefits Joining the JLA family grants access to extensive benefits, including health and wellbeing support, financial guidance, legal advice, and mental More ❯

large data sets, as well as apply mathematical, statistical, and other data-driven analysis to address intelligence questions. Proven ability in using statistical analysis, predictive modelling and explanatory modelling to identify trends. Ability to work well under pressure and achieve results within the scheduled time-frame. Excellent More ❯

ready to make a real impact. Essentials Skills Data Analytics: Proficient in sourcing, transforming, and analysing large datasets to generate actionable insights. Data Science & Modelling: Experience with predictive modelling, scenario planning, and statistical techniques using Python. Data Visualisation: Skilled in tools like Power BI, Tableau, or similar More ❯

ready to make a real impact. Essentials Skills Data Analytics: Proficient in sourcing, transforming, and analysing large datasets to generate actionable insights. Data Science & Modelling: Experience with predictive modelling, scenario planning, and statistical techniques using Python. Data Visualisation: Skilled in tools like Power BI, Tableau, or similar More ❯

ready to make a real impact. Essentials Skills Data Analytics: Proficient in sourcing, transforming, and analysing large datasets to generate actionable insights. Data Science & Modelling: Experience with predictive modelling, scenario planning, and statistical techniques using Python. Data Visualisation: Skilled in tools like Power BI, Tableau, or similar More ❯

or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java More ❯

or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java More ❯

ll be responsible for scoping the brief with stakeholders, data gathering, feature engineering, & model delivery right through to stakeholder model presentation. Data analysis and modelling: Utilise statistical and experimental techniques, predictive modelling, and machine learning algorithms to analyse large and complex datasets related to pricing, promotions, sales … within a Microsoft Azure, Databricks, SQL, Python, Pyspark & Powerbi data environment. So, these skills will be very important. Pricing experience is desired Experience of modelling, data management, information systems and related software Superior written and oral communication skills Ability to confidently present insight to non technical audiences at their … level Ability to work with low supervision and take key modelling decisions – self driven and focused. #J-18808-Ljbffr More ❯

DSAE team, including data science, data governance and analytics professionals. We work closely with engineering and product management teams to deliver data products, insight, predictive analytics, and data visualisation. Data Scientists in the DSAE team apply sophisticated analytical methods and tools to drive value from the data through methods … such as customer segmentation, predictive modelling, forecasting and other algorithms. Our work delivers an in-depth understanding of consumer behaviours and supports multi-channel targeting and personalization. What you will be doing: You’ll join a London-based agile team building and supporting data science products that drive … engineering, product planning, R&D, and finance. We are hiring for two vital teams within Data Science: With a focus on forecasting and value modelling, you will help PlayStation quantify and anticipate the future value of our customer base, powering commercial decisions that affect strategy and planning. Your work More ❯

analytics, financial KPIs, marketing performance, and product usage patterns Statistical Knowledge: Understanding of statistical methods for analysing operational efficiency, customer behaviour, cohort analysis, and predictive modelling for business metrics GCP Familiarity: Working knowledge of Google Cloud Platform analytics tools, particularly BigQuery for large-scale data analysis Problem Solving More ❯

R) for data manipulation and analysis. · Understanding of emerging technologies, including automation, ML and AI to facilitate data analytics. · Experience with advanced analytics techniques (predictive modelling, segmentation). When you join the JLA family, you'll also gain access to an extensive benefits package. We care about our More ❯

Mathematics, or a related field. Preferred Experience: Experience with data visualization tools like Tableau, Power BI, or similar. Strong knowledge of time-series analysis, predictive modelling, and machine learning techniques. Familiarity with database management systems (e.g., SQL) and cloud platforms (e.g., AWS, Azure). Job-Specific Skills: Strong More ❯

Statistics, or a related field Detail-oriented with excellent analytical and problem-solving skills Background in real estate, investments, or facilities management Familiarity with predictive modeling or machine learning Expertise in large datasets and optimized data modeling Join a globally recognized investment firm with impactful projects Help shape and More ❯

learning Knowledge of ETL/ELT pipelines and cloud data warehousing is a plus Analytical & Communication Abilities Ability to design research methodologies and develop predictive models Strong mathematical reasoning and data validation skills Critical thinking and problem-solving skills Ability to communicate complex concepts to non-technical audiences Attention More ❯

reports that communicate actionable insights to stakeholders. o Collaborate with IT and Data teams to improve data quality and accessibility. o Build and maintain predictive models using machine learning algorithms to identify fraudulent activities. o Test, evaluate, and fine-tune models to improve fraud detection accuracy and reduce false More ❯

reports that communicate actionable insights to stakeholders. o Collaborate with IT and Data teams to improve data quality and accessibility. o Build and maintain predictive models using machine learning algorithms to identify fraudulent activities. o Test, evaluate, and fine-tune models to improve fraud detection accuracy and reduce false More ❯

reports that communicate actionable insights to stakeholders. o Collaborate with IT and Data teams to improve data quality and accessibility. o Build and maintain predictive models using machine learning algorithms to identify fraudulent activities. o Test, evaluate, and fine-tune models to improve fraud detection accuracy and reduce false More ❯

analytics, financial KPIs, marketing performance, and product usage patterns Statistical Knowledge: Understanding of statistical methods for analysing operational efficiency, customer behaviour, cohort analysis, and predictive modelling for business metrics GCP Familiarity: Working knowledge of Google Cloud Platform analytics tools, particularly BigQuery for large-scale data analysis Problem Solving More ❯

pension provision. You will work closely with business owners to identify opportunities to drive value from data and lead the development of advanced analytics & predictive modelling algorithms. You will be comfortable working independently and as part of small teams in dynamic projects across Just to develop predictive More ❯

apps is a big plus) Strong skills in SQL, Python or R, and data visualisation tools (e.g., Tableau, Power BI) Experience with statistical analysis, predictive modelling, and segmentation techniques Understanding of user behaviour analytics, retention metrics, and A/B testing Bonus: Experience with fraud detection or risk More ❯

a related field Detail-oriented with excellent analytical and problem-solving skills ⭐ Preferred Experience: Background in real estate, investments, or facilities management Familiarity with predictive modeling or machine learning Expertise in large datasets and optimized data modeling Why Join? Join a globally recognized investment firm with impactful projects Help More ❯

a related field Detail-oriented with excellent analytical and problem-solving skills ⭐ Preferred Experience: Background in real estate, investments, or facilities management Familiarity with predictive modeling or machine learning Expertise in large datasets and optimized data modeling Why Join? Join a globally recognized investment firm with impactful projects Help More ❯