2 of 2 Part-Time Senior Data Scientist Jobs in Guernsey

Senior Data Scientist (Marketing Mix Modelling (MMM), A/B Tests, Causal Inference) Employment Type: Contract (Outside IR35) Length: 12 months Were looking for someone who enjoys solving complex problems at the intersection of data, marketing, and technology. Youll play a key role in building models, experiments, and optimisation tools that help shape how marketing decisions … to guide budget allocation and improve return on investment. Apply advanced statistical and causal inference methods to separate organic performance from paid effects. Work with relational and graph-based data to uncover links between audiences, campaigns, and outcomes. What were looking for Several years of experience in data science, econometrics, or marketing analytics. Strong knowledge of statistical modelling … on experience with marketing mix modelling and media attribution models. Proficiency in Python and common machine learning or statistical libraries. Familiarity with graph databases or similar tools for complex data relationships. If interested please apply directly or send me an email to mmaytsik@trg-uk.com More ❯

Contract Rate: Up to 550 per day (DOE) Location: United Kingdom Length: 6 months We are seeking a highly capable and practical Senior Data Scientist to join a rapidly growing and exciting team within one of our consulting clients. This contract-based role and focuses on tackling complex industrial datasets where conventional big data approaches may … not apply. In this role, you will be expected to apply data-driven methodologies to solve real-world problems using time series data and other imperfect or limited datasets. Candidates who thrive in ambiguity and take a hands-on approach to problem-solving will be well-suited for this opportunity. You will work closely with cross-functional teams … including operations and engineering, and should be confident interfacing with clients and presenting technical insights to senior stakeholders. Exceptional communication skills are essential, particularly for conveying complex analytical findings to non-technical audiences. Key Responsibilities: Analysing and interpreting time series and real-time production data Deploying practical data science solutions to optimise processes Collaborating with stakeholders to More ❯