1 to 25 of 55 Predictive Modelling Jobs in London

in programming languages such as Python or R, and experience with machine learning libraries and frameworks. Solid understanding of statistical analysis, data mining, and predictive modeling techniques. Excellent communication and interpersonal skills, with the ability to effectively convey complex technical concepts. Strong leadership and team management abilities, with a 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 »

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 »

to redefine the future of marketing through the power of data and technology? As a Senior Machine Learning Engineer, you'll deploy and productionise predictive models aimed at enhancing media performance, customer experiences, revenue efficiency, and various business outcomes. What You'll Do: Deploying and productionising models to optimise … best-in-class models, measurement and reporting We’d love to see: Strong proficiency with Python and SQL Extensive Machine Learning experience: recommendation, forecasting, predictive performance analysis & optimisation Experience with Snowflake, DataIQ or Databricks AWS experience – Redshift & Fast API NLP & Computer Vision experience Previous experience working with Marketing Ecosystems 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 »

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 »

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 »

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 »

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 »

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 »

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 »

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 »

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 »

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 »

into impactful AI solutions, guide project execution, and mentor junior data scientists through clear communication and knowledge sharing. Research and implement emerging NLP and predictive modeling techniques, architect and manage APIs, and continuously learn to push the boundaries of AI. We're Looking For: Proven experience building and deploying more »

Desirable skills, qualifications, and experience: A personal interest and experience of participating in sport and physical activity. Skills and experience in data analytics, including predictive modelling and analysis of large and complex datasets Experience and knowledge of the UK sport and leisure sector. A degree or masters in 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 »

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 »

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 »

charity role. The Role Your day-to-day will be varied looking at, Data Strategy development, Leadership, cross-functional collaboration, Performance Measurement, Product Performance, Predictive Modelling, Technology Evaluation, and Budgeting and resource allocation. Sound like the challenge you are looking for, with a direct line to the Marketing more »

on Motor or Home insurance products. As a Senior Pricing Analyst in the Pricing R&D Motor or Home Team, you will use statistical modelling, machine learning techniques and insurance market knowledge to develop and implement price optimisation across our Motor and Home insurance product range. You’ll create … Knowledge , Skills & experience required: years’ experience in Pricing Optimisation in the Financial/Regulated industry (ideally Insurance). knowledge and experience using statistical methods, predictive models, and machine learning techniques to achieve business objects. This should include GLMs (Generalised Liner Models) and tree-based GBMs (Gradient Boosting Machines). … of using software applications to analyse data and create predictive models preferably in a team environment. This can be with Python, or Radar & Emblem etc. data handling skills such as producing summary statistics, transformations and visualisations, using software tools such as SQL, Python and Databricks. communication skills to work more »

largest private healthcare providers. As a start-up with Series A funding, their team of fewer than 50 dedicated professionals focuses on advanced analytics, predictive modelling, and the development of cutting-edge solutions to revolutionise the healthcare industry. Their mission is to leverage AI to improve health outcomes … of engineers. Proficiency in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of data science principles, predictive modelling, and advanced analytics. Excellent problem-solving skills and the ability to think critically and creatively. Experience in the healthcare industry is highly more »

Hush to develop, maintain and draw insights from business intelligence solutions consisting of Google Big Query (Data warehouse), Domo (Visualisations), Snaplogic (ELT), and DBT (Modelling). Reporting into our Head of Technology, playing a critical role in our small Data Engineering team of 2, you’ll have the opportunity … Co-own customer data and insights in collaboration with the Marketing teams. Apply advanced statistical and machine learning techniques, including clustering, regression analysis, and predictive modelling, to extract deeper insights from customer data. Build predictive models to forecast customer behaviour, including sales trends, churn prediction, and lifetime … value projections. Utilise techniques like customer lifetime value (CLV) modelling and cohort analysis to provide a comprehensive view of customer behaviour. Champion a data-driven culture. THE PERSON Strong communication skills; able to articulate complex technical topics for non-technical colleagues to understand and report on data activity progress. more »

functionally to enable data-driven decision-making. Key Responsibilities - Champion data-driven decision-making agency-wide - Analyze large datasets to extract valuable insights - Develop predictive models for forecasting - Implement attribution tracking and modeling - Utilize big data tools like Google BigQuery - Create compelling data visualizations - Communicate insights to stakeholders - Develop more »

diverse business challenges. Responsibilities: Dive into extensive and intricate datasets to gain comprehensive insights Extract, interpret, and communicate findings effectively with the team Develop predictive models using statistical and machine learning methods Validate and refine models for accuracy and applicability Stay updated on industry trends and advances in data more »