1 to 25 of 176 Predictive Modelling Jobs

passion for adtech & performance marketing. The ideal candidate will have entrepreneurial spirit, an interest in trading and experience with measurement, experimental design and leveraging predictive analytics to drive performance marketing outcomes. Skills: Communication skills: Ability to engage with C-level stakeholders. Collaborate closely with our Marketing team, understanding their … measurement: Knowledge and experience with experimental design and measurement for performance marketing and CRM activities. Familiarity with sparse, fat tailed distributions would be advantageous. Predictive Modelling: Ability to evaluate results of predictive models and predictive modelling techniques. Apply these insights to optimise growth strategies, enhancing more »

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 »

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 »

LEAD DATA SCIENTIST £60,000 – 75,000 LEICESTER Work a crucial role within a customer focussed team, using predictive modelling and statistical analysis to provide insights that can affect this high growth retailer! THE COMPANY A UK renowned retailer within fashion going through a HUGE digital transformation and … organisation! THE ROLE As a Lead Data Scientist your focus will be to design and run experiments to collect and process relevant data for predictive models, specifically you will have to: Build and implement predictive models that drive business performance and understanding Deliver an understanding of who customers … your interest by sending your CV to Gerard Matthews via the apply link on this page. Data Analyst, Data Analytics, SAS, Python, R, Data Modelling, Google Analytics, Adobe Analytics, Coremetrics, GA, AA, Clustering, Propensity Modelling, Segmentation, CRM, CRM Analytics, Marketing Analyst, Insight Analyst, Growth Analyst, Customer Analytics 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 »

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 »

valuable data sources and automate processes Perform preprocessing of structured and unstructured data Review large amounts of information to discover trends and patterns Create predictive models and machine-learning algorithms Modify and combine different models through ensemble modeling Organize and present information using data visualization techniques Develop and suggest more »

and operational reports. Data Processing: Clean, pre-process, and organise data to ensure accuracy and consistency. Data Analysis: Utilize statistical techniques, data mining, and predictive modelling to extract meaningful insights from the data. Performance Tracking: Monitor key performance indicators (KPIs) such as sales trends, customer preferences, order volumes 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 »

regulatory standards working closely with the CSO. Analytics and Insights: Guide a team of data scientists, analysts, and insights specialists in conducting advanced analytics, predictive modelling, and data excavation to reveal actionable insights and growth opportunities. Business Intelligence: Collaborate across functional teams to pinpoint crucial performance indicators, create more »

Engagement, which work closely together with clients to identify business opportunities and create new business value through improved data handling and analysis. Responsibilities: Build predictive models using machine-learning techniques that generate data-driven insights on modern data platforms (Spark, Hadoop and other map-reduce tools); Develop and productionalize more »

on the broad spectrum of customer analytics, and we have 30 million known customers to play with… In CVU we do our most complex modelling, forecasting, tool building, and insights-generation and we use agile working methodologies to make sure we’re prioritising the right outcomes.This Analytics Manager role … best practice in how code should be written - and an ability to install this in the wider team.Excellent analytical skills and statistical understanding including predictive modelling, clustering, time series analysis and experience of applying these for decision makingHigh level understanding of data architecture/governanceExperience of managing stakeholders more »