SLB is hiring for a FRESHER entry level Data Scientist role in India

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

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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

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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

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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

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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

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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.