{"id":3454574,"url":"https://alion.io/job/digis-trainee-data-scientist","title":"Trainee Data Scientist","company":{"id":2681139,"name":"Digis","domain":"digiscorp.com","url":"https://alion.io/company/digis-4","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"intern","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Ukraine"],"countries":["UA"],"hiring_countries":["UA"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SciPy","optional":false}],"status":"live","first_seen_at":"2026-10-20T11:48:07Z","employer_posted_date":null,"last_verified_at":"2026-10-20T11:48:07Z","board_verified":false,"closed_at":null,"days_open":11,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":11},"description":"About the Company\n\nWe are a European IT company with 200+ specialists delivering SaaS platforms, enterprise solutions, and cloud-native products for clients worldwide. We focus on building strong, long-term teams and supporting continuous professional growth.\n\nAbout the Internship & Project\n\nWe are looking for a Trainee Data Scientist to join a project delivered for a UK-based marketing data platform. The client’s platform connects various marketing channels under one roof, helping businesses understand customer retention and acquisition through advanced Single Customer View dashboards and personalization tools. You will contribute to real client projects, focusing on Marketing Mix Modelling (MMM) and causal marketing measurement. We are looking for someone with strong statistical reasoning who is motivated to build real-world data science skills, work with e-commerce datasets, and grow into a specialized role.\n\nResponsibilities\n\nPrepare, clean, and process real e-commerce and marketing datasets\n\nBuild, validate, and diagnose Marketing Mix Models (MMM) using Python\n\nAnalyze seasonality, promotions, and pricing, as well as model adstock/carryover and saturation\n\nCalculate incremental revenue and ROAS, build response curves, and develop budget optimization models\n\nWork closely with the Head of Data Analysis and CTO, actively questioning model outputs to ensure statistical accuracy\n\nCompare MMM results with experiments and other attribution methods, visualizing findings and eventually explaining technical results in simple client-facing language\n\nRequirements\n\nGood foundation in Python for data analysis (pandas, NumPy, SciPy, scikit-learn)\n\nSolid knowledge of statistics and regression\n\nUnderstanding of model validation and the clear distinction between correlation and causation\n\nUp to 3 links to pet projects or an academic project demonstrating your best Data Science skills\n\nEnglish level: Upper-Intermediate\n\nWhy This Internship is Exciting\n\nGreat opportunity to enter a specialized and rapidly growing field of Marketing Mix Modelling (MMM)\n\nWork with real e-commerce datasets and influence real commercial decisions\n\nReceive strong mentorship from experienced professionals ready to teach you MMM, e-commerce marketing, and attribution\n\nGain exposure to advanced tools like Bayesian MMM, PyMC, Google Meridian, and Meta Robyn\n\nA clear path from an internship to a Junior role, with the potential to become the company’s internal MMM expert and transition into client-facing 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