Data Scientist (Intelligent Media Planning)

Are you passionate about AI? 🤖

At Satori Analytics, we aim to change the world one algorithm at a time by bringing clarity to global brands through Data & AI. From cloud-based ecosystems for fintech to predictive models for airlines, our cutting-edge solutions cover the entire data lifecycle—from ingestion to AI applications.

As a fast-growing scale-up, our team of 100+ tech specialists—including Data Engineers, Data Scientists, and more—delivers innovative analytics solutions across industries like FMCG, retail, manufacturing and FSI. Join us as we lead the data revolution in South-Eastern Europe and beyond!

Satori Analytics is looking for a Data Scientist to join our Data Science team and take a leading hands-on role in our Intelligent Media Planning workstream — building customer segmentation, competitive benchmarking, and media budget planning solutions on top of large-scale payment transaction data. You'll turn raw transactional signals into segments, narratives, and monthly media plans that clients actually act on.

What Your Day Might Look Like:

• Design and build customer segmentation solutions on payment transaction data, from feature engineering through clustering to business-ready segment narratives
• Engineer behavioural features at scale — multi-window RFM, spend trajectory, recency decay, and time spine construction on transactional datasets
• Validate and stress-test clusters using silhouette scores, stability testing, and — most importantly — business interpretability
• Explain your models using SHAP, translating feature importance into plain-English segment stories for non-technical stakeholders
• Calculate and interpret competitive metrics such as Spend Index (issuer view) and Wallet Share (merchant view), including a correct treatment of network coverage limitations
• Build media planning logic — temporal disaggregation of coarse budgets into monthly plans (Denton-Cholette or equivalent), heuristic channel splits, and MMO response curve integration
• Handle data filtering with rigour — BIN/ICA logic for issuer data, merchant_parent_name logic for merchant data
• Document your work — methodology docs, assumption logs, and structured write-ups that others can pick up and run with

Your Superpowers🚀:

• Strong Python — production-quality, clean, reproducible code (pandas, NumPy, scikit-learn)
• Solid SQL — joins, window functions, and aggregations at scale
• Applied statistics — distributions, regression, hypothesis testing, and model evaluation
• Segmentation depth — K-Means, GMM, DBSCAN; you know the maths behind the algorithms, not just the API calls
• Cluster validation instincts — silhouette score, stability testing, and an eye for whether a segmentation makes business sense
• Feature engineering craft on transaction data — multi-window RFM, spend trajectories, recency decay
• Explainability skills — comfortable with SHAP and able to turn feature importance into narratives clients understand
• Git / version control as a matter of habit
• Clear written communication — you document methodology and assumptions without being asked
• Independence — you work from a defined brief, manage your own progress, and are proactive when blocked
• AI awareness — you follow the space and know when (and when not) to reach for AI tooling

Bonus Points for:

• Card network or payment transaction data experience — familiarity with the quirks of issuer and merchant data
• LLM API integration for persona and narrative generation (OpenAI, Anthropic)
• UMAP / t-SNE for cluster visualisation
• Spark or Dask for large-scale data processing
• Prior work in financial services, retail, or loyalty analytics

Perks on Perks:

• Competitive salary and hybrid work model – come hang out in our Athens office or work remotely from anywhere in European economic Area (EU, Switzerland etc.) or UK (up to 6 weeks per year).
• Training budget to level up your skills from the top tech partners in the market (Microsoft, AWS, Salesforce, Databricks etc.) – whether it’s certifications or courses, we’ve got you covered.
• Private insurance, top-tier tech gear, and the chance to work with a stellar crew.

Ready to create some data magic with us? Hit that apply button and let’s get started.