Hiring: Senior Data Scientist (Banking Domain)
Location: Chennai / Hyderabad / Bangalore
Experience: 5 – 8 Years
Qualification: B.Tech / BE (AI, Data Science, Computer Science or related)
Employment Type: Full-Time
Budget : 25 LPA
Job Overview
We are looking for a Senior Data Scientist with strong expertise in Machine Learning, Python, and SQL, preferably with experience in the banking or financial services domain.
The role involves building and deploying scalable ML models for use cases such as fraud detection, credit risk modeling, customer analytics, and transaction intelligence, working with large-scale enterprise datasets.
Key Responsibilities
- Develop and deploy machine learning models for banking use cases:
- Fraud detection
- Customer segmentation
- Credit risk modeling
- Transaction analytics
- Perform:
- Data preprocessing
- Feature engineering
- Exploratory Data Analysis (EDA)
- Build predictive models to drive:
- Customer growth
- Risk monitoring
- Operational efficiency
- Collaborate with Data Engineers, BI teams, and business stakeholders
- Deploy and monitor ML models in production environments
- Ensure model performance, scalability, and reliability
- Present insights and recommendations to business teams
- Ensure compliance with banking data governance and regulatory standard
- Mandatory Skills
- Strong proficiency in Python and SQL
- Hands-on experience with ML frameworks:
- Scikit-learn
- TensorFlow / PyTorch
- Strong knowledge of:
- Statistics & predictive modeling
- Feature engineering
- Experience with:
- Large datasets and SQL-based systems
- Model deployment in production
- Exposure to Cloud platforms:
- AWS / Azure / GCP
- Strong data visualization and storytelling skills
- Experience working with banking / financial datasets (mandatory)
Technical Skills
Programming: Python, SQL
Machine Learning: Scikit-learn, TensorFlow, PyTorch
Data Processing: Pandas, NumPy, PySpark / Spark
Visualization: Matplotlib, Seaborn, Plotly, Power BI, Tableau
Data Platforms: Databricks, Snowflake, Data Lakes
Cloud: AWS / Azure / GCP
MLOps: Docker, Kubernetes, ML pipelines
Good to Have Skills
- Experience with:
- Apache Airflow / Kafka
- Real-time or streaming data pipelines
- Exposure to:
- Generative AI / LLM frameworks
- Reinforcement learning / deep learning
- Knowledge of:
- AML, fraud detection, regulatory reporting
- Certifications in:
- Databricks / Snowflake / Dataiku
Qualifications
- Bachelor’s or Master’s degree in:
- Computer Science
- Data Science
- Artificial Intelligence
- Related field
Key Competencies
- Strong analytical and problem-solving skills
- Excellent communication and presentation skills
- Ability to translate complex data into business insights
- Collaborative mindset and stakeholder management
- Adaptability in fast-paced environments
KPIs / Success Metrics
- Model accuracy and predictive performance
- On-time delivery of ML solutions
- Business impact of deployed models
- Production model stability and uptime
- Stakeholder satisfaction
Pay: ₹1,010,283.11 - ₹2,445,725.24 per year
Application Question(s):
- What is your notice period in days?
Experience:
- Banking domain as data scientist : 5 years (Required)
Work Location: In person
