📍Location: Pune

💼Job Type: Full Time

💰Salary: ₹9,00,000 – ₹16,00,000 per annum (CTC)

🎓Qualification: B.Tech / MCA / M.Tech / M.Sc (Data Science / Statistics / Computer Science)

🕒Experience: 2–5 years

📅Deadline: 2026-05-05

Freshers allowed: No

Preferred experience level: Mid Level

Category: IT / Data Science

Posted: 2026-03-19 · Views: 0

Role & Responsibilities

IBM is hiring Data Scientists 2026 to analyze complex datasets, build predictive models, and deliver data-driven insights for enterprise clients.
The role includes working with structured and unstructured data, designing algorithms, developing machine learning models, and visualizing results for business decision-making.
Responsibilities include data collection, cleaning, exploration, feature engineering, model development, validation, and deployment. Candidates will collaborate with data engineers, analysts, and business teams to optimize solutions.
This position provides exposure to enterprise-level analytics projects, cloud platforms, and global clients, giving excellent growth opportunities in Data Science.

Requirements

🔹 Technical Skills:

Programming in Python / R

Machine learning frameworks: TensorFlow, scikit-learn, PyTorch

SQL / NoSQL databases

Data visualization: Tableau, Power BI, matplotlib, seaborn

Cloud: AWS / Azure preferred

Statistical modeling, hypothesis testing, predictive analytics

Experience in data pipelines and ETL processes

🔹 Soft Skills:

Analytical thinking and problem-solving

Effective communication and collaboration

Time management and adaptability

Attention to detail

Benefits

💼 Financial Benefits:

Competitive salary (₹9–16 LPA)

Performance-based incentives

Annual salary increments

🏥 Health & Wellness:

Health insurance for employees and dependents

Wellness programs

📚 Learning & Growth:

Training programs and certifications in AI / ML / Data Science

Exposure to enterprise data analytics projects

Mentorship and career growth

🏖️ Work-Life Balance:

Hybrid work flexibility

Paid leaves and holidays

🚀 Career Growth:

Promotion and role expansion in Data Science domain

Opportunities to work with global analytics projects