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!
We're looking for a Senior Data Scientist to design, build, and operate the scalable data platforms behind a global payments & financial-services leader's marketing services products. You'll enable campaign measurement, customer insights, reporting, and AI/ML initiatives — partnering with Product, Engineering, Data Science, and Business stakeholders to turn complex data challenges into secure, reliable, high-quality solutions at enterprise scale.
Your day will look like:
- Define business problems and translate them into data science solutions.
- Collect, clean, and analyze large datasets.
- Develop and optimize machine learning and statistical models.
- Communicate analytical findings and recommendations to stakeholders.
- Work with stakeholders to understand business problems and contribute to how they're solved with ML/Optimization.
- Analyze messy data from various data sources.
- Build robust Supervised/Unsupervised ML pipelines, with the support and guidance from senior team members.
- Maintain and improve existing ML solutions.
Requirements
- A STEM Bachelor’s degree from a reputable university - Master’s degree in Statistics/Data Science/Operations Research or equivalent is a strong plus.
- Work Experience: 3+ years of experience in Data Science/ML roles.
- Programming: Deep understanding of algorithmic thinking. Ability to distinguish between good (clean, efficient and maintainable) and bad python code and gradual adoption of best practices. Understanding of SQL is a plus.
- ML / Data Science skills: Good understanding of ML with exposure to at least two real world projects involving Supervised, Unsupervised or Reinforcement Learning/Optimization. The ability to explore large, complex datasets to understand them before modeling (EDA, plotting).
- Statistics: have a solid grasp of basic probability and statistical theory (random variables & distributions, conditional probability & Bayes’ Theorem, expected value & measures of dispersion, hypothesis testing & p-values etc.)
- Business acumen: be able to translate business requirements into clean modeling practices and understand that the simplest solution that works is usually the best one.
- Learning & Adaptability: be curious and willing to learn new methods, frameworks and techniques
- Tools, Libraries & Frameworks: pandas/polars for data manipulation, cleaning & exploration, scikit-learn for classical machine learning workflows, xgboost/lightgbm/catboost for high-performance gradient boosting ensembles. Knowledge of git for version controlling, UV for python version and package management or pytorch for building, training and deploying DNNs is a plus.
Nice to haves:
- Experience with FastAPI and Docker for building ML-centric applications
- Working cloud knowledge (preferably Azure)
- Familiarity with MLOps tracking platforms like MLflow
Benefits
- Competitive Salary – A rewarding package that reflects your skills and experience.
- Flexible Working – Enjoy flexible hybrid model in our modern Athens office or work remotely from anywhere in European economic Area (EU, Switzerland etc.) or UK (up to 6 weeks per year).
- Health & Wellness Benefits – Private insurance, and the chance to work with a stellar crew.
- Learning & Development – 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.
- Career Growth – Clear opportunities to develop your skills and progress within the company.
- Great Team & Culture – Work with talented, supportive people in a collaborative environment.
- Team Events & Perks – Enjoy social events, celebrations, and exclusive employee benefits.
- Modern Tools & Technology – Everything you need to do your best work.
- A Workplace That Values You – Your ideas, contribution, and well-being genuinely matter
Ready to create some data magic with us? Hit that apply button and let's get started.
Skills Required
- STEM Bachelor's degree from a reputable university
- Master's degree in Statistics, Data Science, Operations Research, or equivalent
- 3+ years of experience in Data Science or Machine Learning roles
- Strong algorithmic thinking and ability to write clean, efficient, maintainable Python code
- Understanding of SQL
- Machine learning experience with at least two real-world projects involving supervised learning, unsupervised learning, reinforcement learning, or optimization
- Experience exploring and understanding large, complex datasets, including exploratory data analysis and plotting
- Solid understanding of probability and statistical theory, including distributions, Bayes' Theorem, hypothesis testing, and p-values
- Ability to translate business requirements into effective modeling solutions
- Curiosity and willingness to learn new methods, frameworks, and techniques
- Experience with pandas or Polars for data manipulation, cleaning, and exploration
- Experience with scikit-learn for classical machine learning workflows
- Experience with XGBoost, LightGBM, or CatBoost
- Knowledge of Git for version control
- Experience with UV for Python version and package management or PyTorch for deep neural networks
- Experience with FastAPI and Docker for ML applications
- Working cloud knowledge, preferably Azure
- Familiarity with MLflow or similar MLOps tracking platforms
What We Do
Changing the world one algorithm at a time. Satori is a term to describe “the moment of clarity”. We are an Analytics Agency made with one simple vision: To give clarity in decision making, through data and AI. With teams of certified expert architects, analysts, data and AI engineers, we have the depth and experience to deliver simpler and complex data-centric solutions reliably, efficiently and repeatably. Over the past 10 years our people have been delivering innovative solutions to global brands across multiple industries in Financial Services, Retail, FMCG, Energy, Manufacturing, Health and others. Whether it’s a best practices cloud data estate design, a scalable and cost-efficient data warehouse, lake or lakehouse, intuitive and performing BI, optimisation and machine learning, generative (Open)AI and cognitive services, we’ve done it. With a diverse client portfolio we are proud to say we have a >90% retention rate and long standing relationships as a trusted data and AI partner with some of the biggest brands in Europe and beyond. If you want to know more about Satori's services, projects, and clients visit our website and feel free to get in touch directly with our people. If you are a prospective Satorian and want to have a career in building advanced data and AI products for the best companies out there and be part of true innovation, visit our career page and send us your CV!
