📋 Job Details at a Glance 📍 Location Pune, Maharashtra, India 🏢 Company SLB 👥 Experience 3-5 years 🎓 Qualification M.S / M.Tech / Ph.D 📅 Eligible Batch 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹15 – ₹28 LPA (Depending on qualification and experience) 🏢 Industry Technology 🛠 Key Skills Algorithm Development General AI Generative AI Data Scientist at SLB — Full Details & How to Apply SLB is seeking a talented Data Scientist to join our team in Pune, Maharashtra, India . This role offers a unique opportunity to shape the future of technology through advanced data analytics and AI, making it an ideal fit for those passionate about leveraging data to drive innovation. In today's technology-driven landscape, the role of a Data Scientist is more crucial than ever. With data being hailed as the new oil, it plays a pivotal role in influencing decision-making and fostering innovation across industries. As organizations increasingly rely on data-driven insights, the demand for skilled Data Scientists continues to surge. This position at SLB not only allows you to utilize your expertise but also places you at the forefront of technological advancements, making your contributions vital to the company's success. SLB stands out as a leader in technology, offering a collaborative environment that nurtures creativity and growth. The company is committed to fostering an inclusive workplace where diverse ideas can flourish. Working at SLB means being part of a culture that values innovation and encourages employees to push boundaries. With a focus on cutting-edge projects, Data Scientists at SLB will find themselves in an environment that not only challenges them but also supports their professional development through continuous learning and mentorship. This role is ideal for both freshers and candidates with up to 5 years of experience . Candidates must hold a M.S, M.Tech, or Ph.D. degree and belong to the eligible batches: 2023, 2024, 2025 . If you have a passion for algorithm development, general AI, and generative AI, this position is tailored for you. Your experience will be invaluable in driving strategic decisions that enhance product development and operational efficiency. As a Data Scientist at SLB , you will gain hands-on experience with key technologies and methodologies. You will learn about cloud architecture , engage in production-grade Java development , and master Agile workflows . This role provides a platform for you to apply your skills in a cutting-edge environment, ensuring that you are well-prepared for future challenges in the tech industry. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting, ensuring you have the most accurate and relevant information to apply online for this Data Scientist role at SLB . Job Role & Responsibilities The role of a Data Scientist at SLB is pivotal in driving innovation and enhancing product offerings through advanced data analytics. As part of a dynamic team, you will leverage your expertise to transform complex datasets into actionable insights that align with SLB's strategic objectives. Develop and implement advanced algorithms to analyze complex datasets, enhancing SLB's product offerings in the technology sector. Utilize tools such as Python , R , and TensorFlow to build predictive models that inform business strategies and operational improvements. Collaborate with cross-functional teams, including software engineers and product managers, to integrate data-driven solutions into existing workflows. Measure and report on the effectiveness of algorithms and models, using key performance indicators to drive continuous improvement. Take ownership of projects from conception to execution, ensuring timely delivery and alignment with business objectives. Prepare comprehensive documentation and reports to communicate findings and recommendations to stakeholders at all levels. Innovate by exploring new methodologies and technologies in AI and machine learning to solve complex business challenges. Mentor junior data scientists and interns, fostering a culture of learning and knowledge sharing within the team. This role embodies an ownership culture where you will have the opportunity to make a significant impact on SLB's technological advancements, driving both personal and organizational growth. Required Skills & Technical Competencies The ideal candidate for the Data Scientist position at SLB will possess a robust skill profile that combines technical expertise with analytical prowess. This role demands proficiency in algorithm development and a deep understanding of both general and generative AI methodologies. Technical Skills Algorithm Development — essential for creating effective models that drive business insights and operational efficiency. General AI — practical application in developing intelligent systems that enhance SLB's technological capabilities. Generative AI — advanced understanding expected to create innovative solutions that push the boundaries of existing technologies. Python (Advanced) — utilized for data manipulation, analysis, and model building. R (Intermediate) — employed for statistical analysis and visualization of data. TensorFlow (Proficient) — used for building and deploying machine learning models. Data Visualization Tools — familiarity with tools like Tableau or Power BI for presenting data insights effectively. Soft Skills & Professional Competencies Analytical Thinking — ability to interpret complex data and derive meaningful conclusions. Communication Skills — adept at conveying technical concepts to both technical and non-technical stakeholders. Team Collaboration — experience working in cross-functional teams to achieve common goals. Time Management — skillful in prioritizing tasks to meet project deadlines. Good to Have (Bonus) PyTorch — familiarity with this framework can enhance model development capabilities. SQL — knowledge for querying databases and managing data efficiently. Cloud Platforms — experience with AWS or Azure for deploying models in cloud environments. To effectively showcase these skills in your resume or during interviews, highlight specific projects or experiences that demonstrate your proficiency in AI and data science, particularly those that align with SLB's objectives. Eligibility Criteria This role is designed for candidates who are eager to contribute to SLB's innovative projects and possess the requisite educational background and experience. Ideal applicants will have a strong foundation in data science and a passion for technology. Candidates must hold an M.S., M.Tech, or Ph.D. in Computer Science, Data Science, or a related field. Eligible batches include 2023, 2024, and 2025 , targeting fresh graduates and early-career professionals. Minimum 3-5 years of relevant experience is required to ensure effective contributions from day one. A minimum CGPA of 7.5 is preferred to reflect a solid academic background. Projects or portfolios showcasing relevant work in AI and data science will significantly strengthen the application. Prior internship or hands-on project experience is a strong advantage. Documentation & Portfolio Requirements Prepare a comprehensive resume that highlights your educational qualifications, relevant experience, and technical skills. Include a GitHub portfolio showcasing your projects and any certifications related to AI or data science. Pro Tip: Tailor your application to emphasize your experience with algorithm development and AI technologies, as these are critical for success in this role at SLB . Salary & Benefits 💰 Compensation ₹15 – ₹28 LPA (Depending on qualification and experience) The salary for the Data Scientist role at SLB ranges from ₹15 – ₹28 LPA (Depending on qualification and experience) , depending on qualifications and experience. This reflects SLB's commitment to attracting top talent in the technology sector. The compensation package is designed to reward both individual performance and collective success. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Retirement Benefits — contributions to Provident Fund and Pension schemes Performance Bonus — annual bonuses based on individual and company performance Paid Time Off — generous vacation and sick leave policies to promote work-life balance Flexible Work Hours — options for hybrid work to accommodate personal commitments Additional Perks & Benefits Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Transportation Allowance — financial support for commuting expenses Subsidized Meals — affordable meal options available on-site Maternity and Paternity Leave — extended leave policies to support new parents Employee Referral Program — bonuses for referring candidates who are hired Career Progression & Salary Growth At SLB , career growth is a priority. Employees typically undergo annual performance appraisals, which can result in salary increases of 10-20% based on performance. The company has a structured promotion timeline, allowing for rapid career advancement and opportunities for internal mobility within the organization. NexisGrow.com tip: When discussing salary, aim for the higher end of the range by showcasing your unique skills and relevant experience in data science . Selection Process The hiring philosophy at SLB emphasizes finding candidates who not only possess the necessary skills but also align with the company’s core values. The selection process is designed to be thorough, ensuring that the best candidates are chosen for the Data Scientist role. 1 Round 1: Application Screening — Initial review of applications focusing on qualifications and relevant experience. 2 Round 2: Technical Interview — Assessment of problem-solving skills and proficiency in data science methodologies. 3 Round 3: Behavioral Interview — Evaluation of cultural fit and alignment with SLB's values. 4 Final Stage: Offer Presentation — Presentation of the job offer followed by a background check process. What Each Round Tests Round 1 focuses on your educational background and relevant experience in data science . Round 2 assesses your technical skills through practical problems and case studies. Round 3 evaluates your communication skills and how you embody the values of SLB . Timeline & Expectations The entire selection process typically takes 4-6 weeks from application submission to final offer. Candidates can expect timely communication regarding their application status and next steps throughout the process. Interview Prep Tip: Familiarize yourself with SLB's core values and be prepared to discuss how your experiences align with them. How to Apply for Data Scientist at SLB Apply Now — SLB Create Your Profile — Visit the application portal and set up your profile. Resume Preparation — Highlight relevant experience in data science and specific projects that demonstrate your skills. Fill Out the Application Form — Complete all required fields and ensure accuracy. Submit Your Application — Review your application before submitting to ensure completeness. Track Your Application — Monitor your email for updates and confirmation regarding your application status. Resume & Profile Tips for This Role Highlight Technical Skills — Emphasize your proficiency in Python , R , and machine learning frameworks. Showcase Relevant Projects — Include specific projects that demonstrate your problem-solving abilities. Detail Your Experience — Clearly outline your work experience, focusing on data analysis and model development . Include Certifications — Mention any relevant certifications that enhance your profile. Note: Applications are reviewed on a rolling basis, so early submission is encouraged to increase your chances. Apply Now — Official Link NexisGrow.com does not charge any fees for job applications. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the specific eligibility criteria for the Data Scientist role at SLB? Eligibility Tap to expand + Answer Candidates must hold an M.S., M.Tech, or Ph.D. in relevant fields and have 3-5 years of experience, with a preferred CGPA of 7.5. ? What is the interview process for Data Scientist at SLB? Interview Tap to expand + Answer The interview process includes an initial screening, a technical interview focused on data science skills, and a final behavioral interview. ? What technologies and tools will I work with as a Data Scientist at SLB? Tech Stack Tap to expand + Answer You will primarily work with Python, R, TensorFlow, and other machine learning frameworks to develop predictive models. ? What is the salary and compensation for the Data Scientist role? Salary Tap to expand + Answer The salary ranges from ₹15 – ₹28 LPA, depending on qualifications and experience, with opportunities for performance bonuses. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer The role is primarily onsite in Pune, with potential for hybrid work arrangements depending on project needs. ? What is the career growth path after joining SLB as a Data Scientist? Growth Tap to expand + Answer Expect a structured growth path with opportunities for promotions and internal mobility within 6-12 months. ? How should I prepare for the Data Scientist interview at SLB? Preparation Tap to expand + Answer Focus on your technical skills in algorithm development and AI, and prepare to discuss relevant projects in detail. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply through the official link, ensuring your resume highlights relevant experience and projects in data science. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Yes, there is a standard probation period of 6 months, during which performance will be evaluated regularly. ? What is the work culture like at SLB? Culture Tap to expand + Answer SLB promotes a culture of collaboration, diversity, and continuous learning, providing a supportive environment for all employees. 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