Birmingham, England, United Kingdom Hybrid / WFH Options
Harnham
and Python for conducting analytics work, understanding customer behaviour, lifetime value, retention, etc. and deployment of segmentation models to fully understand the customer base, propensity models to predict future customer behaviour, and customer frequency modelling different business problems and how data can help the business YOUR SKILLS AND more »
to understand and breakdown large sets of data to extract impactful insights on customer lifetime value, customer churn and retention Segment customers through data modelling and deep dive analysis, allowing for targeted marketing and a more personalised customer experience Provide insights to senior stakeholders (internal and external) across the … 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, PropensityModelling, Segmentation, CRM, CRM Analytics, Marketing Analyst, Insight Analyst, Growth Analyst, Customer more »
teams or stakeholders. Proficiency in SQL, Python (pandas, NumPy, scikit-learn), and translating technical insights. Experience with A/B testing, segmentation analysis, and propensity modelling. Strong communication skills for creating user-friendly solutions for stakeholders. Desirable: Knowledge of cloud platforms and ML Ops. Familiarity with Snowflake, GitHub, AWS more »
ROLE As a Data Scientist working in this team, you will have the following responsibilities: Working on a variety of projects including segmentation, forecasting, propensitymodelling and recommender systems An opportunity to drive commercial value within a team of 7 Data Scientists, then working closely with a Data … working culture Looking for candidates who are confident speaking to stakeholders within a flat hierarchy - everyone has a say! REQUIREMENTS: Experience across some of propensity, forecasting and recommender systems - with clear commercial value on the CV Confident in presenting and working with stakeholders, with excellent communication skills and business more »
learning and AI solutions to support omnichannel customer experience, personalisation and media performance 📌 Strong skills with SQL and Python required for predictive analysis and modelling as well as excellent data visualisation skills 📌 Excellent communication skills to liaise with, and nurture client relationships I have partnered with a Marketing Communications … across multiple clients in various industries, delivering advanced data science solutions including price optimisation, optimising media performance and spend, Computer Vision, NLP, forecasting and propensity modelling. Responsibilities: Employ strong technical data science skills to build machine learning models to optimise digital customer journeys; pricing and promotions optimisation, recommenders and more »
Lead Software Developer required by a leading Cloud Technology company based in Bracknell. The company are working on cutting-edge technology including AI and propensity modelling. This is a brand-new position due to growth and will join a well-established, high calibre development team. The company are hiring more »
and Python required, along with relevant quantitative and data science libraries (prior experience with anomaly detection, regression, statistical tests, time series forecasting, predictive and propensity models preferred) Advanced knowledge of data visualization tools and dashboard design experience essential (Tableau preferred) Experience in the use of large databases and data more »
and reputable PropertyTech scale-up, where data science and machine learning drive their core operations! THE ROLE Engage in diverse projects spanning segmentation, forecasting, propensitymodelling, and recommender systems. Drive commercial value alongside a team of 7 Data Scientists, collaborating closely with their Data Engineering unit. Experience end … end project ownership within a vibrant team culture. We're looking for candidates comfortable interacting with stakeholders in a flat hierarchy REQUIREMENTS: Proficiency across propensity modeling, forecasting, and recommender systems, demonstrating clear commercial impact on your CV. Confident in stakeholder engagement, possessing excellent communication skills and business acumen. Hold more »
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 models more »
Responsibilities: Utilise advanced data analytics and machine learning techniques to identify high-value prospects and generate leads in the payments industry. Design and implement propensity models to predict potential client engagement and conversion rates, optimising our prospecting strategies. Analyse transactional and financial data to uncover trends and insights that … SQL and experience with data preparation, cleaning, and manipulation. Expertise in building and deploying machine learning models, especially related to customer behaviour, segmentation, and propensity analysis. Excellent analytical and problem-solving abilities, with a track record of translating data insights into successful business outcomes. Entrepreneurial mindset with the ability more »
Berkshire. Due to planned growth the company are growing their high calibre frontend software development team working on cutting edge technology, including AI and propensity modelling. The company work on a hybrid model typically involving 3 days a week in the office. Key responsibilities: Writing code in the necessarily more »
