📋 Job Details at a Glance 📍 Location Pune, Maharashtra, India 🏢 Company SLB 👥 Experience 3-5 years 🎓 Qualification M.S / M.Tech / PhD in Computer Science, Mathematics, Physics, Applied Sciences, or a related engineering discipline 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹14.0 – ₹22.0 LPA (Reflecting specialized Generative AI and advanced degree requirements) 🏢 Industry Technology 🛠 Key Skills AI ML Generative AI deep learning NLP text analytics computer vision Python linear algebra statistics Data Scientist at SLB — Full Details & How to Apply SLB is seeking a Data Scientist in Pune, Maharashtra, India to tackle complex data challenges in the oil and gas sector. This role offers a unique chance to innovate with Generative AI technologies. The demand for Data Scientist jobs is surging, particularly in the technology sector, where data-driven decisions are critical for operational efficiency. As companies like SLB leverage advanced analytics, the need for skilled professionals who can navigate and interpret vast datasets has never been more crucial. SLB , founded in 1920 , is a global leader in oilfield services, employing over 100,000 people across 120 countries. This scale not only enhances its market presence but also fosters a culture of innovation and collaboration, making SLB an attractive employer for aspiring data scientists. This role is ideal for 2023, 2024, 2025, 2026 graduates with a M.S / M.Tech / PhD in Computer Science, Mathematics, Physics, Applied Sciences, or a related engineering discipline and 3-5 years experience . The position offers a competitive salary of ₹14.0 – ₹22.0 LPA , reflecting the specialized requirements in Generative AI and advanced degrees. As a Data Scientist at SLB , you will work with cutting-edge technologies such as AI , ML , deep learning , NLP , text analytics , and computer vision . This role not only opens doors to advanced career trajectories but also positions you to lead innovative projects within two years. 📊 Role Difficulty: Medium | Competition Level: High | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the Data Scientist at SLB is to leverage advanced data techniques to drive innovative solutions in the oil and gas sector, enhancing operational efficiency and decision-making. Develop and implement Generative AI algorithms using Python to address complex data challenges in the oil and gas industry. Utilize deep learning techniques for text analytics and NLP to extract actionable insights from unstructured data sources. Collaborate with engineering and operations teams to integrate data solutions into existing workflows, ensuring seamless implementation. Analyze performance metrics to evaluate the effectiveness of data models and algorithms, driving continuous improvement initiatives. Take ownership of project timelines and deliverables, managing initiatives from conception to execution with precision. Document methodologies and findings to facilitate knowledge sharing and maintain transparency throughout the project lifecycle. Engage with clients to understand their data needs, providing tailored solutions that enhance customer satisfaction and project outcomes. At SLB , we foster a culture of ownership, empowering you to make a direct impact on projects and client success. Required Skills & Technical Competencies The ideal candidate for the Data Scientist role must possess a robust skill profile that includes both technical and soft skills essential for data-driven decision-making. Technical Skills AI — advanced — critical for developing innovative solutions in data science, particularly in algorithm design. Machine Learning — intermediate — applied in predictive modeling and data analysis to enhance operational efficiency. Python — advanced — used daily for coding algorithms and data manipulation, requiring proficiency in libraries like Pandas and TensorFlow . Deep Learning — intermediate — familiarity with neural networks is crucial for applications in NLP and computer vision . Problem-solving — advanced — essential for tackling complex data challenges and proposing effective solutions. Soft Skills & Professional Competencies Strong analytical skills to interpret complex datasets and derive meaningful insights. Effective communication skills to articulate technical concepts to non-technical stakeholders. Project management abilities to oversee timelines and deliverables efficiently. Adaptability to work in a collaborative environment while integrating feedback from cross-functional teams. Good to Have (Bonus Skills) Experience with RAG frameworks , enhancing the ability to create adaptive algorithms for real-time data processing. Publications in AI or data science journals, showcasing expertise and thought leadership in the field. Familiarity with cloud platforms like AWS or Azure , streamlining data processing and model deployment. When showcasing these skills in your resume or interview, emphasize your hands-on experience with specific tools and technologies relevant to the role. Eligibility Criteria This role is designed for candidates with a strong academic background and practical experience in data science principles. Candidates must hold an M.S , M.Tech , or PhD in relevant fields, ensuring a solid theoretical foundation. Eligible batches include 2023-2026 , allowing recent graduates to apply their academic knowledge in a practical setting. The experience requirement of 3-5 years emphasizes proven capabilities in algorithm development and data analysis. A minimum CGPA of 7.5 is preferred to ensure candidates have a solid academic background. Having a portfolio or GitHub showcasing relevant projects can provide a competitive edge in the application process. Documentation & Portfolio Requirements Submit your resume in a clear format, including your academic qualifications, relevant experience, and a link to your portfolio or GitHub showcasing your projects. Pro tip: Highlight specific projects in your portfolio that demonstrate your expertise in AI and machine learning applications relevant to the oil and gas sector. Salary for Data Scientist at SLB 💰 Compensation ₹14.0 – ₹22.0 LPA (Reflecting specialized Generative AI and advanced degree requirements) The advertised compensation for the Data Scientist role at SLB is ₹14.0 – ₹22.0 LPA (Reflecting specialized Generative AI and advanced degree requirements) . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at SLB The selection process at SLB is designed to identify candidates who not only possess the required technical skills but also align with the company culture and values. 1 Online Assessment — 90 minutes, testing coding skills and algorithmic thinking through MCQs and coding challenges. 2 Technical Interview — focuses on AI, ML, and Python, assessing knowledge in 3-4 specific areas such as NLP and deep learning. 3 Behavioral Interview — evaluates cultural fit and problem-solving abilities through situational and case-based questions. 4 HR Interview — discusses offer details and company culture, with a timeline for feedback typically within one week. Topic-wise Preparation Guide Round 1: Online Assessment Data Structures — understanding arrays, lists, and trees is essential for algorithm efficiency — GeeksForGeeks Algorithms — focus on sorting and searching algorithms, which are fundamental for coding assessments — LeetCode Python Basics — proficiency in syntax and libraries is crucial for coding challenges — W3Schools Statistical Analysis — knowledge of statistics is important for data interpretation — Khan Academy Round 2: Technical Interview Machine Learning Algorithms — depth in supervised and unsupervised learning techniques is expected — Coursera NLP Techniques — familiarity with text processing and sentiment analysis is crucial for this role — Coursera Deep Learning Frameworks — practical knowledge of TensorFlow or PyTorch is beneficial — Udemy Computer Vision Applications — understanding image processing techniques is advantageous — Coursera Generative AI Concepts — grasping the fundamentals of generative models is essential — Coursera Round 3: Behavioral Interview Behavioral Questions — prepare using the STAR method, focusing on teamwork and conflict resolution — MindTools Project Experience — be ready to discuss specific projects and your contributions — MindTools Technical Deep-Dive — expect questions on your technical expertise and problem-solving approach — MindTools Timeline & Expectations The application to offer timeline typically spans 2-4 weeks , with feedback provided after each round. Prepare thoroughly for each round, as SLB values both technical expertise and cultural fit. Expected Interview Questions for Data Scientist at SLB These questions are based on the role's actual tech stack and responsibilities. Technical Questions Explain the difference between supervised and unsupervised learning. How would you approach a text classification problem using NLP? What are the key components of a neural network? Describe a project where you implemented a machine learning model. How do you handle overfitting in a model? What libraries do you prefer for data analysis in Python? Behavioral Questions Describe a challenging project you worked on and how you overcame obstacles. How do you prioritize tasks when working on multiple projects? Give an example of a time you worked in a team to achieve a goal. How do you handle feedback and criticism? Role-Specific Questions What techniques would you use for data preprocessing in a machine learning project? How do you ensure the accuracy of your models? Discuss a time you had to explain complex technical concepts to non-technical stakeholders. Structure your answers using the STAR method to clearly articulate your experiences and thought processes. Resume Tailoring & ATS Keywords for Data Scientist Optimizing your resume for ATS is crucial for getting noticed in the application process. ATS Keywords to Include Data Scientist Generative AI Machine Learning Deep Learning NLP Python Statistics Text Analytics Computer Vision Algorithm Development Applied Sciences Linear Algebra Resume Tips for This Role Highlight your experience with AI and ML projects, emphasizing specific tools and technologies used. Focus on relevant coursework or projects from your degree that align with the job requirements. Include a link to your GitHub or portfolio showcasing your data science projects. Optimize for ATS by using keywords from the job description throughout your resume. Avoid including unrelated work experience that does not demonstrate your data science skills. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include generic skills or unrelated job experiences that do not pertain to data science. About SLB Founded in 1920 , SLB is headquartered in Houston, Texas , and operates in over 120 countries, showcasing its extensive global footprint. With a workforce of approximately more than 100,000 employees , the company exemplifies its commitment to innovation and technology in the energy sector, particularly in Pune, Maharashtra, India . SLB specializes in advanced technology solutions, including reservoir characterization and production optimization services . The company leverages cutting-edge technologies such as AI and machine learning to enhance operational efficiency and drive sustainable practices in the oil and gas industry. Recognized for its innovative work culture, SLB has received multiple accolades, including a Glassdoor rating of 4.2 , reflecting high employee satisfaction. The company actively promotes employee engagement through various programs and initiatives aimed at fostering a collaborative and inclusive workplace. Recently, SLB announced a strategic investment in AI technologies , aiming to enhance its data analytics capabilities. This initiative underscores the company’s dedication to remaining at the forefront of technological advancements in the energy sector. For freshers in technology, SLB offers a unique opportunity to tackle real-world challenges in the energy sector. The company provides a solid foundation for a successful career, enabling employees to grow their skills in a rapidly evolving industry. Why Join SLB as Data Scientist? Joining SLB as a Data Scientist offers a unique chance to work with cutting-edge technologies and contribute to transformative projects in the energy sector. Generative AI Tools — gain hands-on experience with state-of-the-art tools that are reshaping data science. Deep Learning Applications — develop specialized expertise in NLP and computer vision , both of which are in high demand. Career Advancement — potential to progress to roles such as Senior Data Scientist or AI Researcher within 1-2 years based on performance. Collaborative Work Culture — experience a supportive environment that emphasizes teamwork and innovation, enhancing both personal and professional growth. Pune Lifestyle — enjoy a vibrant lifestyle with a lower cost of living compared to other tech hubs, along with hybrid work flexibility. According to NexisGrow.com, a role as a Data Scientist at SLB not only provides valuable industry experience but also positions you at the forefront of technological advancements in energy. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Data Scientist at SLB? Eligibility Tap to expand + Answer Candidates with M.S / M.Tech / PhD in Computer Science, Mathematics, Physics, Applied Sciences, or a related engineering discipline and 3-5 years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: AI, ML, Generative AI, deep learning, NLP. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹14.0 – ₹22.0 LPA (Reflecting specialized Generative AI and advanced degree requirements). Final offer depends on skills, experience, and interview performance. ? What is the interview process at SLB? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: AI, ML, Generative AI, deep learning, NLP. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Data Scientist interview? Preparation Tap to expand + Answer (1) Core concepts of AI, ML, Generative AI, deep learning, NLP, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) SLB research, (5) Clear communication. ? What is the work culture like at SLB? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Pune Browse all Tech jobs Latest Fresher jobs More jobs at SLB Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com