– Data Scientist / Machine Learning Engineer

Job Summary

We are looking for an experienced Data Scientist with robust expertise in Python, SQL, statistical analysis, and machine learning. The ideal candidate should have hands-on experience in developing, validating, tuning, and deploying machine learning models, along with the ability to analyze large datasets and generate actionable business insights.

Roles and Responsibilities

- Develop, train, validate, and deploy machine learning models to solve business problems.
- Perform data collection, cleaning, preprocessing, and feature engineering on large datasets.
- Apply machine learning algorithms and statistical techniques to identify patterns, trends, and predictive insights.
- Conduct regression, classification, and clustering analysis to address business requirements.
- Perform A/B testing and hypothesis testing to evaluate model performance and business outcomes.
- Use Python libraries such as Pandas and NumPy for data manipulation, analysis, and model development.
- Create data visualizations to communicate analytical findings and model performance.
- Develop and optimize SQL queries to extract, transform, and analyze data from multiple sources.
- Tune model parameters and evaluate models using appropriate performance metrics.
- Collaborate with cross-functional teams to translate business requirements into data-driven solutions.
- Monitor deployed models and identify opportunities for performance improvement.




- Leverage cloud platforms to support scalable machine learning workflows and deployment.

Required Skills and Qualifications

- 4+ years of hands-on experience in Data Science and Machine Learning.
- Strong programming skills in Python.
- Strong proficiency in SQL and experience working with large datasets.
- Good understanding of machine learning algorithms and statistical concepts.
- Hands-on experience with Pandas, NumPy, and data visualization libraries.
- Experience in model development, validation, hyperparameter tuning, and deployment.
- Knowledge of A/B testing, hypothesis testing, regression, classification, clustering, and feature engineering.
- Strong analytical and problem-solving abilities.
- Ability to interpret complex datasets and translate findings into actionable insights.

Preferred Skills

- Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
- Familiarity with scalable machine learning workflows and cloud-based model deployment.
- Experience with model monitoring, performance optimization, and data-driven decision-making.

Indium is an AI services company that helps enterprises build, scale, and innovate with cutting-edge technology. Backed by the prominent private equity firm EQT, Indium has spent 26 years providing excellence in digital engineering for Fortune 500 firms. With an "AI-first by design" approach, Indium specializes in Agentic AI, Data & Analytics, Application Engineering, and Quality Engineering.

📌 Data Scientist (Bengaluru)
🏢 Indium
📍 Bengaluru