Lead Data Scientist

About i2e Consulting Pvt. Ltd.

i2e Consulting is a Microsoft Gold Partner and was recognized as one of the fastest-growing companies in the US in the 2023 Inc. 5000. Over the last decade, we have driven digital transformation initiatives for multiple Fortune 100 companies.

While we serve clients across industries, our niche lies in the Life Sciences domain, with customers including Pfizer, Merck, ACG, Alexion, Ironwood, and others.

We are a Great Place to Work® certified company and work on cutting-edge technologies including AI, GenAI, Mixed Reality, Blockchain, Cloud Computing, Data, and Digital Transformation.

Why join i2e Consulting?

• Best-in-industry compensation and benefits
• Opportunity to interact with decision-makers at Fortune 100 companies
• Opportunity to lead projects with minimal micromanagement
• Flexible working hours
• Strong mentoring and learning opportunities
• Excellent growth and career advancement opportunities
• Strong focus on work-life balance

Website: https://www.i2econsulting.com/

Job Title: Lead / Senior Data Scientist

Experience: 6–9 years

Qualification: Bachelor’s/Master’s degree in Computer Science, Mathematics, Statistics, Physics, Computer Engineering, or a related field from a Tier-1 institution.

Work Mode: Remote
Working Hours: 1:00 PM – 10:00 PM

Role Overview:

As a Lead/Senior Data Scientist, you will work closely with stakeholders, Data Scientists, Data Engineers, developers, and clinicians to solve complex healthcare problems using AI/ML, Generative AI, Agentic AI, Computer Vision, and Applied Statistics.

The role involves developing scalable AI/ML solutions, building LLM-powered applications, leading end-to-end problem solving, and driving innovation in healthcare and Life Sciences.

Please Note: Hands-on experience with Agentic AI is mandatory for this role.

Key Responsibilities

• Apply AI/ML techniques to solve and mathematically interpret complex healthcare problems.
• Develop, prototype, deploy, and optimize machine learning solutions on large-scale datasets.
• Build LLM-powered solutions for Chat, Q&A, Summarization, Document Generation, Translation, and other healthcare use cases.
• Design and develop AI agents and Agentic AI solutions using the latest LLM technologies.
• Conduct quantitative data analysis and generate actionable insights from diverse datasets.
• Contribute to applied ML research and end-to-end AI/ML problem solving.
• Work closely with business stakeholders to understand requirements and translate them into scalable AI solutions.
• Lead and mentor Data Scientists, developers, and clinicians in designing and evaluating AI-based healthcare solutions.
• Leverage emerging advances in Agentic AI, Generative AI, Machine Learning, and Computer Vision.
• Drive innovation and contribute to research and solution development initiatives.

Key Skills & Experience

• 6–9 years of experience in Data Science, Machine Learning, and predictive modelling.
• Mandatory: Strong hands-on experience in Agentic AI and building AI agents.
• Hands-on experience developing applications using LLMs and Generative AI.
• Strong knowledge of Python and SQL.
• Strong understanding of Machine Learning, Deep Learning, Transformers, and underlying mathematics.
• Experience with TensorFlow, PyTorch, PySpark, and Scikit-learn.
• Strong knowledge of statistical and analytics techniques including:
  • Classification & Regression
  • Clustering
  • Outlier Detection
  • Hypothesis Testing
• Experience with Computer Vision, preferably within the Pharmaceutical/Life Sciences domain.
• Understanding of ML best practices and ability to work with/modify existing ML frameworks and algorithms.
• Strong problem-solving, analytical, leadership, and communication skills.
• Experience working with cross-functional teams and translating business requirements into technical solutions.