1 to 25 of 105 Permanent Predictive Modelling Jobs in the UK

quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks more »

degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) Experience with applied Neural Networks (CNN & RNN), LLMs Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, NLP and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Experience Managing/ more »

Data Visualisation tools such as Tableau or Power BI. A good knowledge of core analytical methods and statistical approaches. A background in behavioural science. Predictive modelling experience. Candidates will need to show evidence of the above in their CV in order to be considered. If you feel you more »

a supportive environment. Your Responsibilities: Assist in the development and implementation of quantitative models and strategies, with a focus on time series forecasting and predictive modelling. Conduct data analysis and interpretation to derive actionable insights. Collaborate with team members to perform research and analysis on financial markets and investment … problem-solving. Proficiency in programming languages such as Python, R, or MATLAB. Knowledge of statistical techniques and quantitative methods, including time series forecasting and predictive modelling. Excellent communication skills and ability to work collaboratively in a team environment. Prior internship or work experience in finance, quantitative analysis, or a more »

LexisNexis Risk at the link below, risk.lexisnexis.com About our Team : You will part of a team assisting the business with statistical analysis and building predictive models for credit, fraud, and identity risk. About the Role : This a Lead Data Scientist to manage a small team of data scientists. You … team, as well as performing product development and research projects as needed. The incumbent will have experience in data mining, statistical methods, and multiple modelling/scoring techniques. Responsibilities Managing a small team of data scientists building credit and fraud risk predictive models and other analytical product features … collaboration with other business teams runs smoothly. Supporting senior leaders to shape and deliver our data science strategy. Running analytical research projects and building predictive risk models as required. Requirements Experience of leading junior data scientists, either via direct line management or peer coaching. Demonstrate good oral and written more »

our company’s internal and external performance using machine learning capabilities and tooling. This will span from building tooling for our teams’ workflows to predictive analytics on our vast amounts of video data. You must be organised to ensure deadlines are met, and willing to take on new challenges. … holds massive future potential for growth. As a machine learning engineer, your role will involve: Exploring and analysing our data to identify trends and predictive models that will optimise our video’s performance; Building Interactive Dashboards for Data Visualisation and Analysis.; Fine-tuning large language models (e.g. GPT more »

pose business questions, and make valuable discoveries leading to prototype development and product improvement. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of more »

stakeholders, gathering requirements, and communicating findings and recommendations to understand their needs and develop data-driven solutions Designing and executing data analysis projects for predictive modeling to support business decision-making, driving actionable insights YOUR SKILLS AND EXPERIENCE To be successful when applying for this role you will need more »

Utilise advanced analytics, including proficiency in SQL, to analyse data and derive insights for continuous improvement in digital collections performance. Lead the creation of predictive models and segmentation strategies, optimising success rates for digital and human-assisted collections efforts. Implement test and control strategies for real-time adjustments, considering more »

salary I'm currently working with a leading Sports Research and Technology company, on a search for a Quantitative Modeler with experience in basketball predictive modelling to join their team. The successful candidate will work extensively on probabilistic models. Looking for: Previous quantitative modelling in basketball Quantitative 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 »

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 »

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 »

to redefine the future of marketing through the power of data and technology? As a Senior Data Scientist, you'll design, build and implement predictive models aimed at enhancing media performance, customer experiences, revenue efficiency, and various business outcomes. What You'll Do: Designing and predicting models to optimise … Opportunity to contribute to new & existing business pitches We’d love to see: Strong proficiency with Python and SQL Extensive Machine Learning experience: forecasting, predictive performance analysis & optimisation Experience with Snowflake, DataIQ or Databricks Cloud platform experience (AWS preferred) Adobe analytics & sales platform experience is a bonus Previous experience more »

learning models in the healthcare space for clients! ROLE AND RESPONSIBILITIES Working closely within a team, to design and build models across forecasting and predictive modelling with large-scale healthcare datasets You will collaborate closely with Engineers, software developers, and business leaders to define precise product requirements, offer 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 »

to-end data science projects from problem formulation to implementation and deployment. You'll communicate effectively with stakeholders and form strong business relationships, leveraging predictive modelling, segmentation techniques and AI algorithms to unlock valuable insights. Responsibilities Spearhead projects with cross functional leaders Use models like regression and propensity more »

to share ownership in solving this problem end to end. From exploring new data sources for building features, to design and put in production predictive models and make sure they perform consistently over time. About The Role As a Senior Site Reliability Engineer, your purpose is to ensure that more »

This role is to provide a range of analytics and modelling to support the development of new innovative capabilities and extending this to delivery of pilot projects for some of the world’s biggest brands. Sitting in a broader Advanced Analytics team of data scientists, the core focus of … effectively with smart algorithms using privacy compliant methods. Key Responsibilities The person in this role, will focus on: Audience creation and insight curation Audience modelling and activation algorithms New fusion methods to connect different datasets Consumer journey understanding These projects include a full range of supporting analytics covering; Feature … Validations Model selection The role will also provide exposure to the full range of Annalect Advanced Analytics capabilities including: Connected Measurement (e.g. MMM, attribution modelling) Planning Foundations (e.g. Channel planning) Additional innovations as they are developed by the Annalect team Whilst data planners and strategy consultants will lead the 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 »

Energy start up as a member of the core planning team, supporting the growth of the business on a global scale. Responsibilities - Consultant Financial Modelling : Develop and maintain financial models to evaluate the viability and profitability of proposed projects. This includes revenue projections, cost structures and investment returns to … Consultant 2-4 Years of Analyst Experience : Demonstrated experience as an analyst in an investment banking environment, with a strong understanding of financial analysis, modelling, and decision-making processes. Experience in analysing investment opportunities, evaluating financial performance, and conducting market research will be highly beneficial. Relevant Qualifications: Possession of … CIMA is preferred. Data Expertise: You should be adept at synthesising complex data sets, extracting meaningful insights, and providing actionable recommendations to stakeholders. Advanced Predictive Modeling: Proficiency in building advanced predictive models is desirable, as it enables you to forecast future trends, assess risk, and optimise decision-making more »

improvements Qualifications Bachelor's degree (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 2 years' of experience in a similar role Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language, ideally Python but can also be Java or C/ more »

assurance across all systems. Promote a data driven culture, advocating for the use of data and analytics in decision making and process optimisation. Using Predictive modelling solutions for current data and generating a model to help predict future outcomes. Requirements : A Computer Science/Programming Degree. Background of … using data analysis tools and software (e.g., SQL, SAS, Python and R). SQL – Advanced Proficiency Experienced in Machine Learning and predictive modelling. Background working with consultancy services. Highly experienced with MS Azure cloud platforms. 3 years minimum. Understanding of building resilient multi-site architectures. Proven ability to develop more »

of the business. Act as the main point of contact for Data Science issues within that office. REQUIREMENTS: A strong background in forecasting/predictive modelling Experience in retail is a bonus Strong communication skills Degree in a relevant subject NEXT STEPS: If this role looks of interest more »

driven machine learning models in the healthcare space for clients! ROLE: Working closely within a team, to design and build models across forecasting and predictive modelling with large-scale healthcare datasets You will collaborate closely with Engineers, software developers, and business leaders to define precise product requirements, offer more »