Data Scientist Bangalore (4 Positions)

Preferred to be in onshore, if not offshore India, but candidate should be based out of Bangalore

Duration : 12 months initially

Interview Process : Single round, Face-to-Face only

Experience : 5- 6 years

Profile Expectation : Strong hands-on, development-oriented candidates

Required Skills :

- Strong proficiency in Python (Pandas, NumPy, Scikit-learn)

- Strong SQL skills for data extraction and analysis

- Hands-on experience in Machine Learning (regression, classification, clustering)

- Solid understanding of statistics and probability

- Experience in data cleaning, feature engineering, and model evaluation

- Knowledge of time series analysis and forecasting

Tools & Platforms :

- Python libraries : Scikit-learn, TensorFlow / PyTorch (preferred)

- Data visualization : Power BI, Tableau, Matplotlib, Seaborn

- Big data exposure : Spark / PySpark (good to have)

- Version control : Git / GitHub

- Cloud exposure : AWS, Azure, or GCP

- Data platforms : Snowflake / BigQuery / Redshift (preferred)

- Understanding of ETL and data pipelines

Business & Domain Exposure :

- Ability to convert business problems into data-driven solutions

- Experience working with large, real-world datasets

- Strong analytical, communication, and stakeholder management skills

- Domain exposure to Banking, Insurance, Retail, or Telecom is a plus

- Experience in risk modeling, customer analytics, or fraud detection is desirable

- Awareness of data privacy and compliance standards (POPIA knowledge is an advantage)