Senior Data Scientist

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 Scientistwith 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 modelsfor banking use cases:

oFraud detection

oCustomer segmentation

oCredit risk modeling

oTransaction analytics

Perform:

oData preprocessing

oFeature engineering

oExploratory Data Analysis (EDA)

Build predictive models to drive:

oCustomer growth

oRisk monitoring

oOperational 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 standards

Mandatory Skills

Strong proficiency in Python and SQL

Hands-on experience with ML frameworks:

oScikit-learn

oTensorFlow / PyTorch

Strong knowledge of:

oStatistics & predictive modeling

oFeature engineering

Experience with:

oLarge datasets and SQL-based systems

oModel deployment in production

Exposure to Cloud platforms:

oAWS / 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:

oApache Airflow / Kafka

oReal-time or streaming data pipelines

Exposure to:

oGenerative AI / LLM frameworks

oReinforcement learning / deep learning

Knowledge of:

oAML, fraud detection, regulatory reporting

Certifications in:

oDatabricks / Snowflake / Dataiku

Qualifications

Bachelor's or Master's degree in:

oComputer Science

oData Science

oArtificial Intelligence

oRelated 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