Data Scientist

Data Scientist

No. of Position: 4

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

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

Duration: 12 Months

Experience: 56 years

Profile Expectation: Strong hands-on, hardcore 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)