Senior Data Scientist - AI Labs

IDFC FIRST Bank; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

IDFC FIRST Bank is seeking a Senior Data Scientist to leverage advanced machine learning techniques for actionable insights. You will lead Generative AI efforts and develop predictive models while collaborating with cross-functional teams to ensure data science solutions' success.

The ideal candidate will have 5-8 years of data science experience focused on NLP and model deployment. The position requires a Bachelor's degree in a relevant field, preferably with a postgraduate degree in Data Science or related domains. Your contributions will drive innovation and business impact.

Qualifications

• 5-8 years of relevant experience in data science focused on NLP, machine learning, and model deployment.
• Proficiency in Python or R with associated data science libraries.
• Strong understanding of NLP techniques and transformer-based models.

Responsibilities

• Lead Generative AI projects within cross-functional teams.
• Develop and deploy predictive models using Python or R.
• Apply advanced machine learning algorithms to solve business problems.

Skills

Python

R

Natural Language Processing (NLP)

Machine Learning

Predictive Modeling

Education

Bachelor’s Degree in Computer Science

Bachelor’s Degree in Statistics

Bachelor’s Degree in Mathematics

Bachelor’s Degree in Engineering

Bachelor’s Degree in Data Science

Postgraduate Degree in Data Science

Postgraduate Degree in Machine Learning

Postgraduate Degree in Artificial Intelligence

Postgraduate Degree in Applied Statistics

Tools

pandas

NumPy

Scikit-Learn

TensorFlow

PyTorch

Keras

SQL

NoSQL

Matplotlib

Seaborn

Tableau

Job description

Job Requirements

About the Role

As a Senior Data Scientist in the Data & Analytics function at IDFC FIRST Bank, you will play a pivotal role in leveraging advanced machine learning and statistical techniques to extract actionable insights from complex datasets. You will lead Gen AI initiatives, build predictive models, and collaborate with ML engineers to ensure seamless deployment and performance of data science solutions. This role is ideal for professionals with deep expertise in text analytics, NLP, and model development.

Key Responsibilities

Primary Responsibilities

• Lead Generative AI projects within cross-functional teams, driving innovation and business impact.
• Develop and deploy predictive models using Python or R and libraries such as pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch, or Keras.
• Apply advanced machine learning algorithms and statistical modeling techniques to solve business problems.
• Work extensively with Natural Language Processing (NLP) frameworks like NLTK, SpaCy, Gensim, and transformer models (e.g., BERT, GPT).
• Implement text analytics techniques including topic modeling, sentiment analysis, and text classification.
• Utilize SQL and NoSQL databases for data extraction and management.
• Create compelling data visualizations using tools like Matplotlib, Seaborn, or Tableau.

Secondary Responsibilities

• Contribute to multiple data analysis projects, with a strong focus on text-based data.
• Build, validate, and deploy predictive models tailored to unstructured text datasets.
• Handle large-scale text data, including cleaning, preprocessing, and feature engineering.
• Collaborate with BI analysts and engineers to prototype and present data science solutions.

What We Are Looking For

Education

• Bachelor’s Degreein:
• Computer Science
• Statistics
• Mathematics
• Engineering
• Data Science
• Postgraduate Degree(preferred) in:
• Data Science
• Machine Learning
• Artificial Intelligence
• Applied Statistics

Experience

• 5-8years of relevant experiencein data science, with a strong focus on NLP, machine learning, and model deployment.

Skills and Attributes

• Proficiency in Python or R and associated data science libraries.
• Strong understanding of NLP techniques and transformer-based models.
• Experience with big data tools and handling large unstructured datasets.
• Ability to translate business problems into data science solutions.
• Excellent communication and presentation skills.
• Strong debugging and problem-solving capabilities.
• Experience working in collaborative, agile environments.

Key Success Metrics

• Timely and error-free delivery of data science projects.
• Effective deployment and performance of predictive models.
• Resolution of infrastructure and model training issues.
• Technical leadership and innovation in Gen AI and NLP initiatives.