Data Scientist

Business Division:

Position Overview:

Data Scientist

Key Responsibilities:

• Collaborate with business units to design, develop, and implement advanced analytics use cases.
  
• Identify opportunities for predictive analytics and optimization, ensuring model accuracy and business impact.
  
• Develop, test, deploy, and maintain

  machine learning models

  (classification, regression, time series, clustering, NLP, Generative AI).
  
• Implement

  ML Ops

  best practices to manage and maintain deployed models.
  
• Work closely with analytics partners to validate solutions and ensure timely project delivery.
  
• Design and develop

  Power BI dashboards

  and business intelligence solutions.
  
• Utilize cloud platforms (Azure ML) and big data technologies for data processing and model deployment.
  
• Drive innovation and introduce best-in-class analytics practices in a

  manufacturing, pharma, FMCG, or IT environment

  .
  

Required Qualifications & Experience:

• Education:

  Graduate/Postgraduate degree in

  Computer Science, Statistics, Data Science, or related field

  .
  

• Experience:

  
  
• 6+ years of hands-on experience in

  data science & analytics

  .
  
• 8-10 years of overall

  enterprise IT experience

  .
  
• Strong industry background in

  Chemical, Pharma, FMCG, Manufacturing IT, or IT/ITES Analytics organizations

  .
  

Key Skills & Competencies:

• Expertise in

  ML modeling (classification, regression, clustering, time series, deep learning, reinforcement learning)

  .
  
• Strong programming skills in

  Python, SQL

  , and experience with

  Azure ML

  .
  
• Proficiency in

  Power BI

  for business intelligence and reporting.
  
• Understanding of

  enterprise applications (HRMS, ERP, CRM, etc.)

  .
  
• Strong problem-solving, analytical thinking, and organizational skills.
  
• Excellent communication, stakeholder management, and leadership abilities.
  

Why Join Us?

• Opportunity to work on large-scale

  AI/ML-driven enterprise projects

  .
  
• Exposure to cutting-edge

  analytics and cloud technologies

  .
  
• Collaborate with a dynamic team to drive

  business transformation

  .
  

data-driven decision-making