Data Scientist

Job Title:

Sr. Data Scientist

Location:

Bangalore / Lucknow / Pune
Role Type:
Full-time, Senior level

About Useful

BI:
Useful

BI is a leading AI-driven data solutions provider specializing in data engineering, cloud transformations, and AI powered analytics for Fortune 500 companies. We help businesses turn complex data into actionable insights through our innovative products and services.

Role Overview :
We are seeking a Data Scientist who is passionate about transforming raw data into intelligent business insights and building models that power real-world decision-making. This role involves working across the entire data science lifecycle-from data exploration and modeling to GenAI integration and insight generation. You will play a key role in designing, developing, and deploying data science solutions across various domains including healthcare, finance, and enterprise analytics.
You will collaborate closely with cross-functional teams including frontend developers, designers, product managers, and AI/ML specialists to deliver high-performance, AI-integrated digital solutions. This is an excellent opportunity for someone passionate about clean architecture, performance optimization, and building intelligent, user-centric applications.

Key Responsibilities:

Machine Learning & Predictive Modeling:

• Build and deploy ML models for tasks like classification, regression, clustering, recommendation, etc.

• Feature engineering and model tuning for optimal performance and accuracy.

• Conduct A/B testing and model validation using industry best practices.

Generative AI & NLP:

• Work with LLMs and GenAI frameworks (e.g., OpenAI, Hugging Face, Lang Chain) to design applications like intelligent report generators, summarizers, Q&A bots, etc.

• Apply NLP techniques for entity recognition, sentiment analysis, topic modeling, semantic search, etc.

• Experiment with RAG (retrieval-augmented generation), prompt engineering, and fine-tuning foundation models.

Model Deployment & MLOps:

• Deploy models using MLOps pipelines (MLflow, Sage Maker, Bedrock, Vertex AI, etc.).

• Monitor performance, retrain models, and ensure their scalability, security, and maintainability.
• Work with APIs and cloud infrastructure to integrate models into production systems.

Required Skills and Qualifications:

• 3+ years of experience as a Data Scientist, ML/GenAI Engineer.

• Strong expertise in Python and libraries like Pandas, Num Py, Scikit-learn, Tensor Flow, PyTorch.
• Experience in end-to-end ML lifecycle including model development, validation, and deployment.

• Solid understanding of statistics, probability, and data modeling.

• Experience with NLP libraries (NLTK, spaCy, Hugging Face Transformers).

• Hands-on experience with GenAI tools:
OpenAI APIs, Lang Chain, RAG, LLM fine-tuning.

• Experience with SQL and at least one No

SQL database.

• Familiarity with cloud platforms (AWS, GCP, Azure) and version control (Git).

• Strong communication skills with the ability to explain complex models to non-technical audiences.