Data Scientist

Date: 17 Sept 2025

Location:

Bangalore, KA, IN, 560100

Custom Field 1: Essential Functions

Role Overview

We are seeking a highly motivated Data Scientist to support advanced analytics initiatives across the organization.

Key Responsibilities

• Manage end-to-end analytics projects including data wrangling, model development, validation, and deployment.
• Collaborate with scientific and operational teams to identify opportunities for data science applications in drug discovery, development, and manufacturing.
• Interact with domain experts and clients to understand data, business challenges and implement robust, scalable solutions.
• Design and implement machine learning models, statistical analyses, and data visualizations to solve real-world problems.
• Develop predictive models for reaction outcomes, process optimization, and quality control.
• Work with structured and unstructured data from lab equiptments, sensors, and other scientific instruments. And also from enterprise applications (CRM, ERP, etc)
• Build and maintain data pipelines and dashboards for real-time monitoring and reporting.
• Implement AI workflows for enhancing decision-making processes
  
  

Qualifications

• Education: MS/MTech in Mathematics, Statistics, Computer Science.
• Experience: 3+ years in data science or advanced analytics.
• Proficiency in Python, R, SQL, and data visualization tools (e.g., Power BI, Tableau).
• Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Familiarity with cheminformatics or bioinformatics tools (e.g., RDKit, KNIME) is a plus.
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
  
  

Preferred Skills & Expertise

• Sound knowledge of statistical, machine learning algorithms and applications.
• Expertise in the use of Python for machine learning and complex data analysis
• Experience with cloud platforms (AWS, Azure, GCP).
• Knowledge of FAIR data principles and data governance in scientific environments.
• Exposure to digital lab tools like ELN, LIMS, or CDS.
• Understanding of regulatory requirements in pharma (e.g., GxP, 21 CFR Part 11).
• Knowledge of Computer Vision and Gen AI approaches.
• Excellent storytelling and presentation skills.
• Ability to work in a dynamic multidisciplinary environment
  
  

Why Join Us?

• Be part of a growing digital transformation journey in a science-driven organization.
• Work on impactful projects across accelerate drug discovery and development.
• Work on projects on support functions like Finance, Supply chain, HR, etc.
• Collaborate with world-class scientists and technologists.
• Enjoy a culture of innovation, learning, and continuous improvement.