Position:
- Data Scientist
Company:
- SLB
Location:
- Pune
Job type:
- Full-time
Job mode:
- Hybrid, office presence expected most of the week
Job requisition id:
- Not explicitly mentioned
Years of experience:
- 0 to 3 years
Company description
- A globally recognized technology-driven organization focused on advancing energy systems and enabling sustainable solutions for the future
- Works at the intersection of digital innovation, engineering excellence, and large-scale industrial transformation
- Strong emphasis on developing technologies that improve access to energy resources while balancing environmental responsibilities
- Encourages collaboration across diverse teams including engineers, researchers, analysts, and domain experts from multiple disciplines
- Maintains a culture that values inclusivity, knowledge sharing, and continuous improvement
- Invests heavily in research and development to solve complex industry challenges
- Known for building scalable digital solutions that combine engineering principles with modern data-driven approaches
- Provides opportunities to work on impactful global projects with real-world industrial applications
- Focuses on creating long-term value through innovation, operational excellence, and responsible practices
- Promotes a supportive work environment where employees are encouraged to grow both personally and professionally
- Offers exposure to cutting-edge technologies including AI, machine learning, analytics, and industrial automation
- Operates with a strong commitment to ethics, integrity, and fairness in all business practices
- Encourages employees to take ownership of their work and contribute meaningfully to organizational goals
- Recognized for maintaining a balance between global expertise and local execution
- Aims to create future-ready solutions that align with evolving energy demands
Profile overview:
- Role centers around building intelligent systems to monitor and improve the performance of industrial machinery
- Involves designing and implementing algorithms using Python to assess equipment condition and predict failures
- Requires working closely with domain experts to understand the physical behavior of machines and translate that into data models
- Focus on analyzing large datasets, especially time-series data collected from sensors and operational systems
- Combines engineering understanding with data science techniques to generate meaningful insights
- Requires transforming raw data into structured features that can be used for predictive modeling
- Involves developing models that can diagnose issues and forecast future performance trends
- Opportunity to work on real-world industrial problems where data directly impacts operational efficiency
- Requires collaboration with cross-functional teams including engineers, analysts, and technical stakeholders
- Emphasis on building scalable and reliable solutions that can be deployed in production environments
- Encourages critical thinking and problem-solving using both statistical and machine learning approaches
- Role demands attention to detail while working with complex datasets
- Opportunity to contribute to innovation in industrial analytics and predictive maintenance
- Involves continuous learning and adapting to new tools, technologies, and methodologies
- Ideal for individuals interested in combining coding, analytics, and engineering concepts
Qualifications:
- Bachelor’s degree in a science or engineering field with strong exposure to mathematics and physics
- Master’s degree in data science, analytics, or engineering with a focus on research or project-based learning
- Academic background should include hands-on work in machine learning, statistical modeling, and algorithm development
- Strong foundation in numerical programming and analytical thinking
- Good understanding of core concepts such as probability, statistics, and data distributions
- Familiarity with working on research projects or thesis involving real data problems
- Ability to apply theoretical knowledge to practical use cases
- Comfortable working with programming tools and analytical frameworks
- Strong communication skills, both written and verbal
- Ability to document findings clearly and present insights effectively
- Capable of working in a team environment and engaging with technical experts
- Willingness to learn and adapt to new technologies and industry practices
- Demonstrated ability to solve complex problems using structured approaches
- Academic excellence reflected through strong performance in relevant coursework
- Exposure to real-world datasets or internships will be beneficial
Skills:
- Strong programming skills in Python, especially for data analysis and algorithm development
- Hands-on experience with libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and Bokeh
- Understanding of writing efficient and clean code for analytical tasks
- Basic knowledge of SQL for querying and handling structured data
- Familiarity with version control tools like Git
- Understanding of fundamental physics concepts such as force, acceleration, and vectors
- Knowledge of statistical techniques including distributions, sampling, and variability measures
- Ability to process and analyze large datasets efficiently
- Experience working with time-series data is a plus
- Capability to extract meaningful features from raw data
- Strong analytical mindset with attention to detail
- Ability to collaborate with domain experts and translate business problems into data solutions
- Skills in building machine learning models for prediction and classification tasks
- Ability to interpret model results and communicate insights clearly
- Experience in technical documentation and reporting
Additional info:
- Role requires working from the office multiple days each week, ensuring collaboration with teams
- Opportunity to work in a highly diverse and inclusive workplace environment
- Exposure to global projects and cross-cultural teams
- Access to learning and development programs for continuous skill enhancement
- Offers benefits such as health insurance and wellness support
- Encourages participation in innovation-driven projects and research initiatives
- Provides a platform to build a strong career in industrial data science
- Employees are supported in achieving both professional and personal growth
- Organization promotes equal opportunity and fair hiring practices
- Focus on building long-term careers with growth opportunities across functions
- Opportunity to contribute to impactful projects that influence real-world operations
- Access to internal knowledge-sharing platforms and technical resources
- Encourages ownership, accountability, and initiative in day-to-day work
- Offers a collaborative work culture where ideas are valued and encouraged
- Strong emphasis on ethics, transparency, and responsible conduct
Please click here to apply.
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