Responsibilities
- Independent work on analytical and consulting projects
- Close collaboration with the client, process analysis, requirements gathering
- Conducting exploratory analyses, data profiling, assessing the quality and suitability of sets/variables
- Validating data sources and models, designing data flows
- Verifying the accuracy of calculation results
- Creating reports and visualizations
- Development and deployment of production solutions
- Maintaining and developing implemented solutions
- Presenting concepts and business cases, discussing the results
Requirements
- Higher education in a specific field: econometrics, quantitative methods, mathematics, computer science, or similar.
- Min. 1 year of experience as a Data Scientist/Data Analyst, working with large data sets and production data.
- Ability to work with data, identify common problems, design and implement workflows, and test them.
- Good knowledge of data processing tools (SQL, Pandas).
- Good knowledge of Python, including object-oriented programming.
- Good knowledge of English, including technical concepts.
- Good communication skills, ability to engage in dialogue with business, and present complex concepts.
- Knowledge of machine learning techniques and algorithms and their implementation in Python.
- Ability to work with code versioning tools (git).
Preferred
- Experience in consulting/advisory/working for Various external clients, possibly internal (e.g., company analytics department) / experience in several industries.
- Experience in end-to-end projects: from design to implementation.
- Experience in the financial sector (banking, risk, AML).
Technology Stack
Open-source: Python, notebook experience (Jupyter, Zeppelin). Libraries: Pandas, Numpy, Scikit-learn, Xgboost (Keras, PyTorch, TensorFlow, Optuna preferred). Git. Welcome – AWS, Snowflake
What we offer
- Flexible employment options and working hours
- Interesting, challenging work in a dynamically developing Capital Group company
- Work on innovative projects using modern technologies
- Direct influence on shaping the image of Capital Group companies on the market
- Opportunities for broad-based skill development
- Attractive salary
- Employment stability and a friendly working atmosphere