Subcon - Data Scientist & AIML
Birlasoft (company site, opens in a new tab)6–8 yrsPuneOn-siteDirect career pageEst. 12–25 LPA
Posted on 11 Sept
Reach people at Birlasoft
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Birlasoft you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Develop and deploy predictive, statistical, and machine learning models to solve business problems in manufacturing, supply chain, commercial operations, and predictive maintenance.
- Conduct exploratory data analysis and prepare data (structured and unstructured) for analytics to deliver actionable business insights.
- Collaborate with stakeholders and technical teams to translate business needs into analytical solutions, communicating findings to diverse audiences.
Minimum Requirements
- 6-8 years of relevant experience in data science or AI/ML roles.
- Proficiency in Python, R, SQL, machine learning, statistical modeling, and data visualization (Power BI).
- Experience working with cloud analytics platforms such as Azure, AWS, GCP, Snowflake and data platforms like Snowflake and Databricks.
- Location: Pune, India. Work model or notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in delivering measurable business outcomes through analytics across multiple functions like manufacturing and supply chain.
- Skilled in partnering with business and technical stakeholders to implement data-driven decision support models.
- Familiar with promoting data science best practices and innovation in enterprise environments involving cloud analytics and big data platforms.