16 of 16 Propensity Modelling Jobs in London

that regularly uses memes in meetings - get in touch. Let's build the future of smart, scrappy, data-powered marketing together. What you'll be doing: Build world-class propensity models to predict customer behaviour and campaign impact, it's all very next best action orientated. Own measurement strategies across PPC, digital, CRM, brand, out-of-home , and everything … paced tech scale ups focused on growth. Fluent in Python or R , SQL , and handy with the usual stack (dbt, Snowflake, Looker/Tableau). Experienced in marketing mix modelling , attribution , and statistical testing. Comfortable working in a fast-paced, ever-changing environment - and willing to roll with the odd curveball. Able to explain the complex in plain English More ❯

and product assortments to maximise retention, basket size and lifetime value. Role Overview As a Specialist Retail Customer Analyst, you'll own end-to-end customer analytics: extracting and modelling sales and behavioural data, building dashboards and presenting actionable consumer insights to cross-functional teams. Key Responsibilities Develop customer segmentation, CLV and propensity models to inform targeting and … in retail/FMCG Bachelor's or Master's in a quantitative discipline (e.g., Economics, Statistics, Data Science) Expert SQL skills and proficiency in Python or R for statistical modelling Hands-on dashboarding experience with Tableau or Power BI Demonstrable experience designing and analysing A/B tests Strong storytelling and stakeholder-management skills Full UK work authorization Desirable …/BigQuery Experimentation: A/B testing platforms (Optimizely, VWO) Desired Skills and Experience 8+ years in retail/FMCG customer insights and analytics Built customer segmentation, CLV, and propensity models in Python/R Designed and analysed A/B and multivariate tests for pricing and promotions Developed ETL pipelines and real-time dashboards in Tableau and Power More ❯

we are on our website: https://indigital.marketing/Who we’re looking for – at a glance: Expert in marketing-focused data science, comfortable developing LTV, attribution, and propensity models Hands-on experience building robust data pipelines, BI dashboards, and clean reporting layers Passionate about connecting the dots between data, customer behaviour, and strategic decisions Skilled communicator with … experience presenting insights to marketers and senior stakeholders Comfortable switching gears between coding, modelling, storytelling, and consulting We understand that no one can do everything, and this role spans a wide remit — so we’re looking for someone with deep skills in some areas, and interest in learning others. The full scope of the role will flex depending on … your strengths. Key responsibilities: Modelling & Data Science: Develop LTV, propensity and attribution models to support growth, customer experience, and paid media Build MMM and bespoke models in response to client needs Ensure outputs are practical, explainable and drive business decisions Reporting & Data Visualisation: Define reporting strategies for stakeholders – who needs what, when, and why Design high-impact BI More ❯

we are on our website: https://indigital.marketing/Who we’re looking for – at a glance: Expert in marketing-focused data science, comfortable developing LTV, attribution, and propensity models Hands-on experience building robust data pipelines, BI dashboards, and clean reporting layers Passionate about connecting the dots between data, customer behaviour, and strategic decisions Skilled communicator with … experience presenting insights to marketers and senior stakeholders Comfortable switching gears between coding, modelling, storytelling, and consulting We understand that no one can do everything, and this role spans a wide remit — so we’re looking for someone with deep skills in some areas, and interest in learning others. The full scope of the role will flex depending on … your strengths. Key responsibilities: Modelling & Data Science: Develop LTV, propensity and attribution models to support growth, customer experience, and paid media Build MMM and bespoke models in response to client needs Ensure outputs are practical, explainable and drive business decisions Reporting & Data Visualisation: Define reporting strategies for stakeholders – who needs what, when, and why Design high-impact BI More ❯

analysis. Develop and maintain data tools for paid media platforms and e-commerce, such as product feed management and bid optimization based on real-time data. Apply advanced data modelling techniques to identify key data aspects and categorise information effectively (e.g., customer names as strings, income/purchase as metrics, premium customer as a category). Collaborate with stakeholders … to improve customer experience and web performance. Create comprehensive reports on data availability and enhance the presentation of availability information to customers. Utilize machine learning libraries for attribution and propensity modelling. Mentor junior data engineers and contribute to the overall data strategy. Qualifications Extensive experience as a Data Engineer, with a strong background in data analysis and data science … Hands-on experience with marketing APIs: Google Marketing Platform, Google Ads, Social platforms. Familiarity with Google Marketing Products integration, including Google Analytics, CM360, SA360, and DV360. Experience with attribution modelling and propensity modelling. Understanding of paid media campaign insights and optimization. Proven ability in customer segmentation, profiling and activation. Collaborate with marketing teams to design and implement targeted More ❯

analysis. Develop and maintain data tools for paid media platforms and e-commerce, such as product feed management and bid optimization based on real-time data. Apply advanced data modelling techniques to identify key data aspects and categorise information effectively (e.g., customer names as strings, income/purchase as metrics, premium customer as a category). Collaborate with stakeholders … to improve customer experience and web performance. Create comprehensive reports on data availability and enhance the presentation of availability information to customers. Utilize machine learning libraries for attribution and propensity modelling. Mentor junior data engineers and contribute to the overall data strategy. Qualifications Extensive experience as a Data Engineer, with a strong background in data analysis and data science … Hands-on experience with marketing APIs: Google Marketing Platform, Google Ads, Social platforms. Familiarity with Google Marketing Products integration, including Google Analytics, CM360, SA360, and DV360. Experience with attribution modelling and propensity modelling. Understanding of paid media campaign insights and optimization. Proven ability in customer segmentation, profiling and activation. Collaborate with marketing teams to design and implement targeted More ❯

and product assortments to maximise retention, basket size and lifetime value. Role Overview As a Specialist Retail Customer Analyst, you'll own end-to-end customer analytics: extracting and modelling sales and behavioural data, building dashboards and presenting actionable consumer insights to cross-functional teams. Key Responsibilities Develop customer segmentation, CLV and propensity models to inform targeting and … in retail/FMCG Bachelor's or Master's in a quantitative discipline (e.g., Economics, Statistics, Data Science) Expert SQL skills and proficiency in Python or R for statistical modelling Hands-on dashboarding experience with Tableau or Power BI Demonstrable experience designing and analysing A/B tests Strong storytelling and stakeholder-management skills Full UK work authorization Desirable More ❯

from a strategic and hands-on perspective Building out their data and analytics capability and practice based on where clients are going Leading projects across customer data science, MMM, propensity modelling, attribution modelling, and digital analytics Researching into where AI agents can be used on a variety of different projects Utilising a variety of different tools such More ❯

from a strategic and hands-on perspective Building out their data and analytics capability and practice based on where clients are going Leading projects across customer data science, MMM, propensity modelling, attribution modelling, and digital analytics Researching into where AI agents can be used on a variety of different projects Utilising a variety of different tools such More ❯

insight, strategic thinking, and a love of data to the forefront of their decision-making. The Opportunity You'll be stepping into a key leadership role, tackling everything from propensity modelling to designing robust data architecture frameworks. Working hand-in-hand with engineers and product teams, you'll transform complex data into actionable marketing strategies that drive real … business impact. From marketing mix modelling (MMM) and attribution analysis to statistical testing, you'll harness customer behaviour and insights to shape the future of data-driven marketing in a fast-moving, customer-focused environment. What's in it for you? Competitive salary package Hybrid working flexibility with a modern office in Hammersmith Career progression opportunities within a growing More ❯

with clients to solve bespoke challenges and deliver actionable insights Collaborate with data tech teams to develop innovative solutions and AI-driven projects Drive client strategies around measurement, attribution, propensity modelling, and martech integrations (Salesforce, Magento) Build new capabilities and influence the future of the agency's data offering What we're looking for: Strong SQL skills and More ❯

problems, creating data science solutions and delivering insights and recommendations Working directly with clients and helping the team to give recommendations and answer questions Working on projects across clustering, propensity modelling, regression and more Building data visualisations and dashboards for clients YOUR SKILLS AND EXPERIENCE Strong technical experience in SQL and Python Experience in data visualisation Proven track … record working across propensity modelling, clustering, forecasting, regression and more Strong commercial and stakeholder management expertise Line Management/Mentoring experience THE BENEFITS Up to £75,000 Hybrid London HOW TO APPLY If interested in the role please send your CV to Louis Collins via the Apply Link below More ❯

problems, creating data science solutions and delivering insights and recommendations Working directly with clients and helping the team to give recommendations and answer questions Working on projects across clustering, propensity modelling, regression and more Building data visualisations and dashboards for clients YOUR SKILLS AND EXPERIENCE Strong technical experience in SQL and Python Experience in data visualisation Proven track … record working across propensity modelling, clustering, forecasting, regression and more Strong commercial and stakeholder management expertise Line Management/Mentoring experience THE BENEFITS Up to £75,000 Hybrid London HOW TO APPLY If interested in the role please send your CV to Louis Collins via the Apply Link below More ❯

of machine learning and predictive modelling. This is a senior, hands-on leadership role focused on delivering production-grade models in areas such as Automated Valuation Models (AVMs) and propensity modelling. You will take full ownership of the end-to-end data science lifecycle-from problem scoping to model deployment-while also setting technical standards, shaping strategy, and managing … scientists. Key Responsibilities Manage a team of 3 data scientists, fostering a high-performance and collaborative culture Own the end-to-end development of predictive models, including AVMs and propensity models Work closely with data engineering and product teams to integrate models into scalable solutions Set the vision and strategy for data science within the business, championing best practices … consumer behaviour data is a bonus, but not required About You Proven experience leading small data science teams in a commercial setting Strong expertise in machine learning, particularly with propensity modelling/AVM's Deep experience with end-to-end model development and deployment Confident working in a fast-paced, hands-on environment Comfortable operating at both strategic More ❯

of machine learning and predictive modelling. This is a senior, hands-on leadership role focused on delivering production-grade models in areas such as Automated Valuation Models (AVMs) and propensity modelling. You will take full ownership of the end-to-end data science lifecycle-from problem scoping to model deployment-while also setting technical standards, shaping strategy, and managing … scientists. Key Responsibilities Manage a team of 3 data scientists, fostering a high-performance and collaborative culture Own the end-to-end development of predictive models, including AVMs and propensity models Work closely with data engineering and product teams to integrate models into scalable solutions Set the vision and strategy for data science within the business, championing best practices … consumer behaviour data is a bonus, but not required About You Proven experience leading small data science teams in a commercial setting Strong expertise in machine learning, particularly with propensity modelling/AVM's Deep experience with end-to-end model development and deployment Confident working in a fast-paced, hands-on environment Comfortable operating at both strategic More ❯

Acquisition and Loyalty program health checks. Create, develop and maintain models, contribute to IP creation and standardized VCA offerings. Conceive and brief to the Analytics team projects including segmentation, propensity models, and other intelligent targeting solutions. Defining the scope, understanding client's objectives, framing the problem or opportunity. Collecting and analyzing input such as client information, interviews, data, processes More ❯