1 to 25 of 93 Predictive Modelling Jobs

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 »

to interpret data trends, patterns, and correlations, and communicate insights and recommendations to business stakeholders. • Utilize advanced machine learning and AI techniques to develop predictive models for improving business processes, customer experience, and operational efficiency. • Conduct exploratory data analysis to identify opportunities for data-driven decision-making and formulate more »

and strategic planning. Service Management: Utilise knowledge of ITIL service management principles to align data science initiatives with service management goals and objectives. Data Modelling: Develop and implement data models to support the organisation's data infrastructure, ensuring that data is structured in a way that facilitates analysis and … reporting. Predictive Modelling: Build predictive models to forecast future service performance and identify potential issues before they impact service delivery. Data Visualisation: Create data visualisations and dashboards to communicate complex data insights in a clear and concise manner to stakeholders at all levels. Machine Learning: Apply machine … with the service management team to understand their data needs and deliver solutions that meet these needs. Continuous Improvement: Continually improve data analysis and modelling processes, using feedback and performance metrics to identify areas for improvement. Data Governance: Ensure that all data science activities comply with data governance policies 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 »

the reports and dashboard Collaborate with business stakeholders to understand their data needs and provide solutions to support their use cases. Develop and maintain predictive models to support forecasting and decision-making. Conduct ad-hoc data analysis to support specific business initiatives and projects. Stay up-to-date with more »

open-source and cloud tools, driving innovation and delivering actionable insights. Collaborate with business stakeholders to identify data-driven opportunities, design experiments, and develop predictive models. Identify opportunities for innovation through analytics, influencing business stakeholders, and shaping them into viable candidates aligned with strategic objectives. Develop and deploy advanced more »

key data science opportunities in the EV ecosystem. Analyse large datasets related to EV charging behaviour, vehicle performance, energy consumption, and environmental impact. Develop predictive models to forecast EV demand, charging station utilisation, and battery performance. Design and implement machine learning algorithms to optimise EV charging schedules and reduce more »

Experience with other cloud platforms and migration projects (eg, AWS or Google Cloud). Knowledge of advanced analytics techniques, such as machine learning and predictive modelling. Familiarity with agile methodologies and DevOps practices for CI/CD pipelines If you are interested send your CV to (see below) (no more »

and managing efficient data pipelines for handling large data volumes effectively, whilst deploying real-time processing for prompt analyses. Applying advanced statistical techniques and predictive modeling to recognise patterns and anomalies in extensive datasets, facilitating informed decision-making. Collaborating closely with engineering and product teams to enhance data frameworks … and SQL You must be proficient in big data technologies, such as Spark, Kafka and/or Hadoop. A strong understanding of statistical analysis, predictive modelling, machine learning algorithms, and data development and optimisation is essential You could have experience with cloud-based big data architectures and services 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 »

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 »

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 »

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 »

deliver value added business solutions that have a measurable impact on results. Drive pragmatic approaches to solving key complex business problems through advanced planning, predictive modeling and machine learning techniques. The VP is responsible for defining, changing and adapting TPG's ways of working to optimize the accelerated delivery more »

deliver value added business solutions that have a measurable impact on results. Drive pragmatic approaches to solving key complex business problems through advanced planning, predictive modeling and machine learning techniques. The VP is responsible for defining, changing and adapting TPG's ways of working to optimize the accelerated delivery more »

deliver value added business solutions that have a measurable impact on results. Drive pragmatic approaches to solving key complex business problems through advanced planning, predictive modeling and machine learning techniques. The VP is responsible for defining, changing and adapting TPG's ways of working to optimize the accelerated delivery more »

deliver value added business solutions that have a measurable impact on results. Drive pragmatic approaches to solving key complex business problems through advanced planning, predictive modeling and machine learning techniques. The VP is responsible for defining, changing and adapting TPG's ways of working to optimize the accelerated delivery more »

deliver value added business solutions that have a measurable impact on results. Drive pragmatic approaches to solving key complex business problems through advanced planning, predictive modeling and machine learning techniques. The VP is responsible for defining, changing and adapting TPG's ways of working to optimize the accelerated delivery more »

deliver value added business solutions that have a measurable impact on results. Drive pragmatic approaches to solving key complex business problems through advanced planning, predictive modeling and machine learning techniques. The VP is responsible for defining, changing and adapting TPG's ways of working to optimize the accelerated delivery more »

deliver value added business solutions that have a measurable impact on results. Drive pragmatic approaches to solving key complex business problems through advanced planning, predictive modeling and machine learning techniques. The VP is responsible for defining, changing and adapting TPG's ways of working to optimize the accelerated delivery 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 »

preferred, but not essential Skilled in programming languages such as python or R. Knowledge/hands-on experience with Machine Learning and/or predictive modelling approaches Experience using machine learning methods and statistical models is again a plus Strong communication skills with the proven ability to relay more »