PythonScikit-LearnSQLAIArtificial IntelligenceMachine LearningGenerative AILarge Language ModelsRAGscikit-learnXGBoostAnalyticsStatistical AnalysisSales
About this role
Role Overview
Act as an enabling team for predictive intelligence and AI solutions, developing models and tools to solve internal business problems (e.g., churn, anti-fraud, lead scoring, financial projections, etc.).
Work in an integrated way with teams such as Product, Sales, Finance and Operations, translating strategic challenges into data
and algorithm-based solutions.
Contribute to the companyβs AI-First strategy by promoting the use of machine learning models and AI agents in internal workflows and decision-making processes.
Use Python, SQL and machine learning libraries (e.g., Scikit-learn, XGBoost, Statsmodels, etc.) for data exploration, model development and validation.
Build solutions within Dataflash (internal data and AI platform), including predictive models and generative AI agents, using techniques such as RAG, function calling, etc.
Ensure best practices for versioning, reproducibility, performance evaluation and explainability of implemented models.
Apply Advanced Analytics techniques β statistical analysis (e.g., multivariate regression, inference, time series, hypothesis testing, causal models, A/B experimentation) β to generate insights and support strategic decisions.
Requirements
Proficiency in Python, SQL and machine learning libraries (e.g., Scikit-learn, XGBoost, Statsmodels, etc.) for data exploration, model development and validation;
Experience building Machine Learning models, including Regression, Time Series and Classification;
Applying models in a business context;
Knowledge of Generative Artificial Intelligence and Large Language Models (LLMs);
Experience using AI/LLMs to build data products in corporate environments.
Tech Stack
Python
Scikit-Learn
SQL
Benefits
Flash Card (the much-loved pink one!) with flexible benefit options: meal, food, mobility, health, education, culture and wellness
Health insurance
Life insurance
Extended maternity and paternity leave + childcare assistance
Day off on your birthday π
Hybrid and flexible work model + home office allowance + in-office experiences