Senior Data Scientist | 5+ Yrs | Bangalore | Hybrid

Bandhan Technologies Private Limited; Bengaluru; Hybrid; INR 1,500,000 - 4,000,000; Full time

Job summary

Bandhan Technologies Private Limited in Bengaluru, India, seeks a Senior Data Scientist with about 5 years of experience to develop and deploy machine learning models and data-driven applications. You will work on predictive modelling, NLP, deep learning, andGenerative AI use cases to drive measurable business outcomes.

The role involves collaborating with cross-functional teams to translate business problems into scalable data science solutions and to support model deployment, monitoring, and

Qualifications

• Around 5 years of experience in Data Science / ML.
• Hands-on experience with ML algorithms and statistical modelling.
• Exposure to supervised and unsupervised learning techniques.
• Strong programming experience in Python.

Responsibilities

• Design, develop, and deploy ML and predictive modelling solutions.
• Analyze large datasets to identify patterns and insights.
• Build and optimize supervised and unsupervised models.
• Perform data preprocessing, feature engineering, and model evaluation.
• Collaborate with engineering, product, and business teams to translate requirements.
• Communicate findings to stakeholders.

Skills

Python

Machine Learning

Statistical Modelling

Deep Learning

NLP

Generative AI

Tools

NumPy

Pandas

Scikit-learn

TensorFlow

PyTorch

Job description

Role Overview

We are looking for an experienced Senior Data Scientist with approximately 5 years of experience in developing and deploying machine learning models, statistical solutions, and data-driven applications.

The ideal candidate should have strong expertise in Python, Machine Learning, Statistical Modelling, and Deep Learning, along with exposure to Generative AI and Large Language Models (LLMs). The candidate will work closely with cross-functional teams to translate business problems into scalable data science solutions and drive measurable business outcomes.

Key Responsibilities

• Design, develop, and deploy machine learning and predictive modelling solutions.
• Analyze large and complex datasets to identify patterns, trends, and business insights.
• Build and optimize supervised and unsupervised machine learning models.
• Perform data preprocessing, feature engineering, model selection, and hyperparameter tuning.
• Develop statistical models and conduct hypothesis testing and exploratory data analysis.
• Collaborate with engineering, product, and business teams to understand requirements and deliver data-driven solutions.
• Evaluate model performance using appropriate metrics and continuously improve model accuracy.
• Work on NLP, Deep Learning, and Generative AI use cases.
• Develop and implement scalable data science solutions for real-world business problems.
• Support model deployment, monitoring, and performance optimization in production environments.
• Communicate technical findings and recommendations to business stakeholders.

Required Skills & Experience

• Around 5 years of experience in Data Science / Machine Learning.
• Strong programming experience in Python.
• Hands-on experience with Machine Learning algorithms and statistical modelling.
• Good understanding of supervised and unsupervised learning techniques.
• Experience with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
• Strong knowledge of data preprocessing, feature engineering, and model evaluation.
• Experience in SQL and working with structured and unstructured datasets.
• Exposure to Deep Learning, NLP, and Generative AI.
• Good problem-solving, analytical, and communication skills.

Good to Have

• Hands-on experience with LLMs, RAG, and Prompt Engineering.
• Exposure to LangChain, LangGraph, or similar frameworks.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Knowledge of MLOps, model deployment, and monitoring.Experience with data visualisation tools such as Power BI or Tableau.