3 of 3 Statistical Analysis Jobs in Nottingham

This is a hands-on analytical role combining customer analytics, data science, and strategic insight. You'll take ownership across a blend of traditional customer analytics and more advanced statistical modelling projects, supporting fast feedback loops across marketing performance, churn, forecasting, and member engagement. The role offers scope to grow into either a strong individual contributor role or people … leadership position as the function scales. Key Responsibilities Analyse customer behaviour across the platform to support commercial growth and marketing optimisation. Deliver pre- and post-campaign analysis, segmentation work, and ongoing performance tracking. Build and deploy statistical models such as linear regression, clustering, forecasting, and advanced A/B tests. Work closely with ML Engineers, commercial teams, and … senior stakeholders to translate insight into business action. Support marketing measurement, frequency analysis, churn reduction and commercial opportunity assessment. Collaborate cross-functionally with data engineering, product, and commercial teams on high-impact projects. Present clear, actionable insight to both technical and non-technical stakeholders across the business. Skills & Experience Essential: Strong experience in customer analytics, data science, or advanced More ❯

to address challenges in credit risk, fraud detection, and customer intelligence. You will report to the Southern Europe Analytics Director. Your Responsibilities Develop and validate predictive models using advanced statistical and machine learning techniques. Translate complex data into relevant insights and communicate them effectively to clients and team members. Collaborate with teams to understand needs and shape tailored data … growth. Experience and Skills At least 2 years of experience in data science related to credit risk, fraud analytics, or marketing analytics. Background in machine learning, predictive modeling, and statistical analysis. Proficiency with tools such as Python, R, SAS, or SPSS. Experience with cloud-based platforms like Databricks, Cloudera, or Snowflake. Fluent in English (written and spoken). (For More ❯

analytics, you will also be expected to undertake Data Science projects, including forecasting models, rapid feedback cycles, and advanced A/B testing. YOUR SKILLS AND EXPERIENCEPythonSQL Experience using statistical analysisModelling experience APPLYRegister your interest by sending an email or applying below. More ❯