Compass Analytics UK

Job Title: Data Scientist (Contract – 2 Months, Full-Time) Location: Remote (India, with overlap in UK working hours) Commitment: 40–50 hours per week Start Date: ASAP – ideally from 27th September Compensation: INR 25–36 LPA (equivalent, pro-rated for contract duration) About the Role We are seeking an exceptional Senior Data Scientist to join on a full-time contract basis for 2 months. The ideal candidate will have deep expertise in marketing analytics, funnel optimisation, churn and LTV modelling, and SEM signal design —with a proven track record of delivering impact in B2B SaaS environments . You will work closely with product, marketing, and data teams to design and implement advanced ML-driven solutions that directly influence growth and retention. Key Responsibilities Develop and optimise predictive models for trial-to-pay conversion, churn, LTV, and SEM bidding signals . Collaborate with cross-functional teams (Product, Growth, Sales, Marketing) to translate business needs into data science solutions. Deploy and scale models in production using AWS SageMaker and related cloud services. Conduct rigorous statistical and ML analyses to identify actionable insights that improve marketing and sales funnels. Ensure data science workflows follow best practices in version control (GitHub), reproducibility, and scalability . Communicate findings and recommendations clearly to both technical and non-technical stakeholders. Minimum Qualifications 7+ years demonstrable experience in applied data science, specifically in marketing, sales funnel optimisation, churn/LTV modelling, or SEM signal optimisation . 3+ years experience working within B2B SaaS companies . Master’s or PhD in Statistics, Computer Science, Machine Learning , or a related quantitative discipline from a reputable university. Proven expertise in Python and building end-to-end ML pipelines . Hands-on experience with Amazon SageMaker, AWS Cloud, GitHub . Strong critical thinking, rapid learning ability, and exceptional communication skills . What We’re Looking For A data scientist who thrives in fast-paced environments and can deliver impact quickly . Someone with a practical mindset —balancing experimentation with shipping results. A self-starter who can operate autonomously while collaborating across time zones. How to Apply Send your CV. Please highlight your work in marketing/LTV/churn/SEM signal optimisation .