1 to 25 of 40 Predictive Modelling Jobs in London

The Opportunity: As our in-house Data Scientist, you'll be at the forefront of our data strategy, leveraging advanced analytics, machine learning, and predictive modelling techniques to extract insights, drive business outcomes, and unlock the full potential of our data. You will have the opportunity to work … with various types of data, including structured and unstructured data, and utilise advanced statistical techniques and machine learning algorithms. Your role will involve developing predictive models, conducting data mining and analysis, and creating data visualisations to effectively communicate findings. We are looking for a data scientist who is passionate … and innovation across our organization.Applying data visualisation techniques to effectively communicate insights and findings. Innovative Problem-Solving: Employ advanced statistical analysis, machine learning, and predictive modelling to tackle complex challenges. You’re not just solving problems; you’re anticipating them and creating solutions that keep us two steps 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 »

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 »

+ benefits. 3 days per week in the London office required. Role Summary 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 … consumer insight and the ability to target audiences effectively with smart algorithms using privacy compliant methods. Key Responsibilities • 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; o … Feature creation o Addressing bias and weighting o Validations o Model selection Additional skills Predictive modelling Attribution modelling Multivariate model development Geographical analytics Text mining and content analytics Conjoint analysis Machine learning processes Data manipulation language; such as Python, R or similar Experience using website analytics packages more »

decisions based on this Desirable: Experience with SQL, Alteryx, Python or R Understanding how advanced analytics techniques (e.g. clustering, regression, machine learning, text analytics, predictive modelling) can be applied to client problems Experience in Microsoft Azure or other cloud platform Experience in strategy consulting for data and insights 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 »

and talent with data, we want to hear from you. Fluency in a programming language (e.g. Python,C,C++, Java, SQL) Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms. Strong data visualisation skills in products like PowerBI, Tableau or Quicksight. A mindset that more »

in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 5 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 more »

its team and is looking to onboard a Junior Quant Analyst in London. The Role The successful candidate will have extensive experience in statistical modelling and data analysis. They will also be supporting the power trading desk by researching fundamental data to identify market trends and anomalies. Responsibilities Monitor … wider business Present findings and recommendations to internal stakeholders. Requirements PhD or graduate degree educated in a STEM field. Experience with data analysis and predictive modelling (eg: machine learning, statistical modelling, etc.) Programming in R, Python or similar scripting language. Solid understanding of probability and statistics. Excellent more »

companies pricing capabilities. Analysing and monitoring loss rations, performance metrics and rate strength, as well as other account performances. Carruing out pricing analysis, through predictive risk, residual modelling and developing pricing recommendations. Assessing the affect of rate change impacts through predictions through to post deployment review. Build and … You will act as a pricing and performance representative on your specific product lines. Collborate with internal teams. YOUR SKILLS AND EXPERIENCE Knowledge of predictive modelling techniques including GLM and GBM and/or ML techniques. Experience using Emblem or Radar software and having built/developed Radar more »

and enhance existing trading algorithms to improve performance, execution speed, and risk management. Utilize advanced mathematical and statistical techniques to analyze market data, build predictive models, and generate insights. Stay abreast of industry trends, academic research, and emerging technologies in quantitative finance and algorithmic trading. Qualifications: Bachelor's degree 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 »

to know the business The International Rater Delivery Team within Global Pricing - Actuarial develop commercial rating solutions for underwriting teams within AIG. Calibrated through predictive modelling and market insights, the raters are used by underwriters to guide pricing and risk selection and are critical to AIG’s long … term profitability. The team works alongside North America counterparts, Product Actuaries, Underwriters, and the other teams within Global Pricing (Modelling and Analytics, Pricing MI and Pricing Effectiveness) to provide a comprehensive approach to pricing and portfolio optimization. What you need to know: This is a fantastic new role which more »

dynamic and fast-paced environment and have the opportunity to help shape the company's future. RESPONSIBILITIES: Building models using behavioural data, such as predictive modelling, and segmentation. Collecting data through both passive and active methods and manipulating large-scale behavioural data to understand what drives peoples choices. more »

programming experience (essential) with one or more of Python, SQL or R and proven ability to manipulate and prepare large datasets for analytics and predictive modelling Able to communicate complex technical concepts to both technical/non-technical audiences and articulate impact from data science and analytics work more »

data and uncovering pivotal factors for optimizing search engine rankings. Your role will involve collaborating with diverse teams to gather and analyze data, construct predictive models, and fine-tune algorithms to elevate website performance. Dive into the realm of data preprocessing, feature selection, model training, and performance assessment in 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 »

Responsibilities: Develop and improve our proprietary algorithmic execution infrastructure. Architect and optimize low-latency, event-driven trading systems. Create and validate our in-house predictive models using advanced statistical techniques. Implement security and data protection measures within our algorithmic trading framework. Develop tools for automation, data analysis, and model 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 »

skills to analyze large datasets and extract actionable insights. Collaborate with stakeholders across departments to understand business needs and influence decision-making processes. Develop predictive models and algorithms to optimize various aspects of the business, from inventory management to customer engagement. Present the findings and recommendations to senior management more »

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 »

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 »

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 »

problems Collaborate closely with cross-functional teams to identify opportunities and deliver impactful results Leverage Python and other tools to analyze large datasets, build predictive models, and extract actionable insights Drive the design and implementation of machine learning algorithms, experimenting with different approaches to optimize performance Contribute to the … Skills Required: 3-5 years of experience working as a Data Scientist in a professional setting. Experience in an investment firm Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Proficiency in Python and more »

strategies 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 PM in a transparent environment, engaging with the whole investment process Provide more »