51 to 75 of 106 Permanent Predictive Modelling Jobs in the UK

applying for this role you will need: Experience with owning the data visualisation platform within Tableau Proven experience in data mining, statistical analysis, and predictive modeling Strong experience using SQL Exposure to DBT, big query, or other cloud data warehouses Previously worked cross-functionally with a wide range of more »

fully remote working. Responsibilities: Manage rate changes and implementation of new models and pricing algorithms. Contribute to the development of the pricing ecosystem. Build predictive models using SAS, RADAR , EMBLEM, and other software packages Help to shape the direction of the product with a forward-looking approach and willingness more »

the renewable energy space. Don't miss out on this exciting chance to take your career to new heights. Key Responsibilities: Develop cutting-edge predictive models to analyse data related to energy consumption and renewable energy initiatives. Collaborate with skilled software engineers to effectively implement and deploy models. Establish more »

data sources to identify trends, opportunities, and challenges in global media campaigns. Work closely with media agencies and internal stakeholders to build and refine predictive models and segmentation strategies. Oversee the development of customized dashboards and reports that provide actionable insights for continuous improvement of media strategies. Foster a more »

data quality are understood by stakeholders. Key Responsibilities Responsible for designing effective, efficient data models to support various types of data exploitation (reporting, analytics, predictive modelling) Lead the development and maintenance of the IM platform, setting coding standards. Design, implement, and maintain data pipelines for data ingestion, processing … data analytics, architecture and design including cloud/hybrid Solid in end-user and visualisation tools and proficient in equivalent technologies Experience in data modelling methodologies Experience with evolving technologies i.e. Big Data, Real Time Analytics, Predictive Analytics, Bots Experience with emerging practices i.e. Agile, DataOps more »

thinking Desirable – the successful candidate might have Experience of B2B data feeds and analysis Previous experience in SQL Server or another RDBMS Experience in predictive modelling using R or Python Familiarity with other programming language, eg .NET languages What’s in it for you? The opportunity to develop … your career in analytics, with the scope to develop your longer-term career in two key directions: data science, incorporating modelling; or database design and development The chance to learn from a highly accomplished and successful group of analytics professionals Working in meritocratic firm, where valuable contributions get recognised more »

and work with clients to understand their objectives and harness the power of data and technology for organisational success.What's will you be doing: Predictive modelling for performance optimisation Analyse data to discover trends Provide clear, actionable recommendations based on insightful analysisWorking with clients closely to identify their … pitches as well as existingWhat we'd love to see:Strong working Python and SQL proficiency Extensive Machine Learning experience for example for forecasting, predictive performance analysis, optimisation Cloud platform experience (AWS) The business operate on a hybrid working model and are in the office 3 days a week. more »

work with clients to understand their objectives and harness the power of data and technology for organisational success. What's will you be doing: Predictive modelling for performance optimisation Analyse data to discover trends Provide clear, actionable recommendations based on insightful analysis Working with clients closely to identify … as well as existing What we'd love to see: Strong working Python and SQL proficiency Extensive Machine Learning experience for example for forecasting, predictive performance analysis, optimisation Cloud platform experience What's in it for you: A salary of up to £75,000 Opportunity to work with households more »

target and describe customers. Deploy models into production so they can be consumed by other analytical teams across the business. Deliver complex descriptive and predictive customer behavioural analytics. Bring external thinking to the Company by maintaining an awareness of analytics usage in retail and other sectors and by keeping … knowledge in either Python or R with a strong ability to use SQL. You've excellent analytical skills and statistical understanding, including experience with: predictive modelling, segmentation, time series analysis and have had hands-on experience in their application. You've had some experience using cloud based analytical more »

successful Customer Analyst will have: Advanced experience of SQL, Tableau/Power BI and R or Python. Commercial experience carrying out statistical analysis and predictive modelling. Highly numerate with a strong commercial acumen. Educated to a degree level in a STEM subject. THE BENEFITS A salary of more »

years of hands-on experience in AI/ML development Proven experience in Python, R, TensorFlow, PyTorch or Similar Frameworks Previous Experience building Predictive Models (e.g., Research Pricing, recommendation systems) Strong background in Cloud platforms (AWS, GCP, Azure) and Containerisation (Kubernetes, Docker Proven Experience working across Data platforms (e.g. more »

environmentMinimum of 3 years of hands-on experience in AI/ML developmentProven experience in Python, R, TensorFlow, PyTorch or Similar FrameworksPrevious Experience building Predictive Models (e.g., Research Pricing, recommendation systems)Strong background in Cloud platforms (AWS, GCP, Azure) and Containerisation (Kubernetes, DockerProven Experience working across Data platforms (e.g. more »

role My client is seeking to recruit a Data Scientist to analyse the performance across numerous insurance business areas, by creating dashboards and developing predictive models and machine learning techniques, as well as supporting other teams to improve analytics in Market Reserving and Capital. As a business, they are more »

periods Combine sound financial insights and statistical learning techniques to explore, analyze, and harness a large variety of datasets in order to build strong predictive models which will be deployed to the investment process Collaborate with the SPM and other team members in a transparent environment, specifically collaborating across more »

or a related discipline; advanced degree preferred. Demonstrated success in designing and delivering AI solutions within the insurance domain , with hands-on experience across predictive modeling, natural language processing, computer vision, and reinforcement learning. Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud more »

the economy. Collaborate with product owners, marketing managers, UX/UI designers, analytics teams, data scientists, and development teams. Build and analyze simulations and predictive models to proactively forecast the results of changes to content. Requirements 4+ years’ experience in game economy design Bachelor’s Degree in Economics, Mathematics more »

trends and opportunities. Collaborating with key stakeholders from around the business to understand their data needs. Working with large data sets and applying statistical modelling to unearth useful insights. Tell a story form the data and make actionable recommendations to drive strategic decisions. Implement processes to improve efficient data … understanding the customer and using data to drive business strategy Ability to unearth actionable insights from complex data Ideally has experience in statistical and predictive modelling (desirable) Presentation skills and experience managing senior stakeholders If you are interested in this role, please get in touch with Sophie at more »

strong background in quantitative finance and excellent programming skills in Python. Responsibilities: Analyse large data sets using statistical techniques Conduct macro analysis and build predictive models Research and develop quantitative trading strategies across FI, FX and commodities Build tools for systematic trading Requirements: PhD or Master's degree in more »

medium-frequency holding periods. Apply financial insights and statistical learning techniques to explore, analyze, and leverage a wide range of datasets for constructing robust predictive models deployed in the investment process. Foster transparent collaboration with the SPM and team members, actively participating in all aspects of the investment process more »

R, or Java, and familiarity with libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, and Spark.Solid understanding of statistical analysis, data mining, and predictive modeling techniques.Experience with big data technologies such as Hadoop, Spark, and distributed computing frameworks.What is in it for you?Significant Bonus Package. Flexible working more »

database), adopting appropriate tools, techniques, and applying best practice. Deliver, with minimal supervision, high quality data science outputs and products, for example reports, dashboards, predictive models. Communicate project updates, outcomes and learning through the best channel and at the appropriate level of detail for the audience. Collaborate with and more »

Senior Data Analyst to lead our data transformation. If you know your SQL queries from your ETL pipelines, and your BI dashboards from your predictive models, we want to hear from you. In this critical role, you'll spearhead a team of talented analysts working with the Met's … and unique datasets. From 999 call records to criminal intelligence, you'll have exclusive access to unprecedented data reserves. Your expertise in data wrangling, modelling, and visualisation will directly impact operational strategies, tactical decisions, and frontline policing efforts across London. We need a true data professional who can distinguish … independently in order to identify and implement appropriate solutions. Previous experience in coaching/managing other analysts. Practitioner level experience of conducting descriptive, diagnostic, predictive and prescriptive analysis to identify what happened, why it happened, what might happen next and outline what action should be taken. Experience working in more »

assurance, and lifecycle management. Data Analytics: Drive the development and implementation of advanced analytics initiatives to extract insights from data, identify trends, and support predictive modeling and forecasting. Collaborate with business stakeholders to understand their analytical needs and develop solutions to address them. Data Governance: Establish and enforce data … requirements, and industry best practices. Strong technical proficiency in data modeling, SQL, ETL tools, data visualization tools, and advanced analytics techniques (e.g., machine learning, predictive modeling). Excellent leadership, communication, and interpersonal skills, with the ability to influence and collaborate effectively across all levels of the organization. Demonstrated experience more »

Computer Science, Engineering, Mathematics, or a related discipline Demonstrated success in designing and delivering AI solutions within the insurance domain , Hands-on experience across predictive modelling, natural language processing, computer vision, and reinforcement learning. Proficiency in ML frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud more »

inspire the team of 13 Insight and Analytical professionals. Responsibilities Promote best practice methodologies and new approaches to data analytics and research techniques. Develop predictive modelling for customer data-driven personalisation of communications and experience delivery. Develop segmentation and understand what Motability Operations’ customers truly value. Set the more »