The Data Scientist role at SLB in Pune is a highly technical position focused on industrial AI, predictive maintenance, and sensor-based machine learning systems.
This role is different from typical data science jobs because it involves working with real-world machinery data, physics-based systems, and engineering-driven AI models.
It is ideal for candidates who are strong in Python, statistics, physics, and machine learning for time-series data.
About the Company
SLB is a global technology leader in energy innovation, specializing in advanced engineering solutions for oil, gas, and energy transition systems.
The company focuses on:
- Energy optimization technologies
- Industrial automation systems
- AI-driven predictive maintenance
- Sensor-based monitoring solutions
SLB operates globally and is known for combining engineering expertise with advanced data science and AI systems to improve industrial efficiency.
Job Details
| Category | Details |
|---|---|
| Job Role | Data Scientist |
| Company | SLB |
| Location | Pune, India |
| Work Mode | On-site (4 days/week) |
| Domain | Industrial AI / Machine Learning / Engineering Data Science |
Role Overview
As a Data Scientist at SLB, you will work on developing Python-based algorithms to monitor and predict the health of industrial machines.
Your main focus will be:
- Time-series sensor data analysis
- Predictive maintenance modeling
- Feature engineering from physical systems
- Collaboration with engineering domain experts
- Building AI models for equipment reliability
This role combines machine learning + physics + engineering domain knowledge.
Key Responsibilities
- Develop Python algorithms for machine health prediction
- Analyze large-scale sensor and operational time-series data
- Build diagnostic and prognostic ML models
- Collaborate with engineers and subject matter experts
- Extract meaningful features from raw industrial data
- Improve reliability and efficiency of machinery systems
- Work with both cloud and local data systems
- Prepare technical reports and presentations
- Participate in engineering discussions and solution design
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Required Skills
Programming Skills
- Strong Python programming (data science focus)
- Libraries:
- Pandas
- NumPy
- Scikit-learn
- Matplotlib
- Bokeh
- Basic SQL knowledge
- Git version control
Core Technical Knowledge
- Physics fundamentals:
- Force
- Acceleration
- Vectors
- Statistics & Probability:
- Distributions
- Standard deviation
- Sampling
- Histograms
- Strong analytical thinking
Communication Skills
- Strong written and verbal English
- Ability to write technical reports
- Ability to present findings to stakeholders
- Ability to discuss with engineering experts
Stipend / Salary (Market Estimate) 💰
SLB roles are typically high-paying due to specialization in industrial AI.
| Level | Estimate |
|---|---|
| Entry Data Scientist | ₹8 – ₹14 LPA |
| ML + Industrial AI Role | ₹10 – ₹18 LPA |
| Strong MSc/PhD Profile | ₹15 – ₹25+ LPA |
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Why This Role is Unique
This is not a general data science role. It focuses on:
- Real industrial machine data
- Physics-driven machine learning
- Predictive maintenance systems
- Engineering + AI hybrid problem-solving
You will work at the intersection of:
- Data Science
- Mechanical systems
- Energy industry AI
Career Growth Opportunities 📈
After joining SLB, you can grow into roles like:
- Senior Data Scientist
- Machine Learning Engineer (Industrial AI)
- Predictive Maintenance Specialist
- AI Solutions Engineer
- Energy Data Analytics Lead
How to Prepare for Selection 🚀
Technical Preparation:
- Python (advanced data science usage)
- Time-series analysis
- Statistics & probability
- ML algorithms (regression, classification)
- Feature engineering techniques
- Pandas & NumPy mastery
Domain Preparation:
- Basics of physics (mechanics)
- Sensor data interpretation
- Predictive maintenance concepts
- Industrial AI use cases
Project Ideas:
- Machine failure prediction model
- Time-series anomaly detection system
- Sensor data visualization dashboard
- Predictive maintenance ML pipeline
Final Thoughts
The Data Scientist role at SLB is a highly specialized opportunity for candidates interested in industrial AI, physics-based machine learning, and real-world sensor analytics.
It is best suited for individuals who enjoy combining engineering knowledge with advanced data science techniques to solve real-world industrial problems.
If you are strong in Python, statistics, and analytical thinking, this role offers a powerful career path in industrial AI and energy tech innovation.
Disclaimer This job information is collected from official/public sources. We do not charge any fees for job updates and do not guarantee recruitment. Please verify details before applying.
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