Senior Data Scientist - AI Labs

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 Degree in:
Computer Science
Statistics
Mathematics
Engineering
Data Science
Postgraduate Degree(preferred) in:
Data Science
Machine Learning
Artificial Intelligence
Applied Statistics
Experience
5-8years of relevant experience in 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.

Work arrangement
No