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

Position:

IT Data Scientist

Company:

SLB

Location:

Coimbatore, India

Job Type:

Full Time

Job Mode:

Onsite

Job Requisition ID:

Not Mentioned

Years of Experience:

0 to 3 Years

Company Description

• SLB is a globally recognized technology organization dedicated to advancing innovation within the energy sector. For nearly a century, the company has focused on developing technologies that help improve access to energy while supporting sustainability goals across the world.

• The organization operates at the intersection of engineering, science, digital transformation, and research, helping industries address complex challenges related to energy production, efficiency, reliability, and environmental responsibility.

• With operations spanning numerous countries, SLB provides employees with exposure to international projects, multicultural teams, and opportunities to collaborate with experts from a broad range of disciplines.

• The company is investing heavily in digital technologies, artificial intelligence, machine learning, cloud platforms, automation, and advanced analytics to build the next generation of intelligent energy solutions.

• SLB promotes a culture where innovation, experimentation, and continuous learning are highly encouraged. Employees are empowered to explore new ideas, challenge conventional thinking, and contribute to technologies that can have a meaningful impact on industries worldwide.

• Diversity and inclusion remain central to the company's values. Team members from different backgrounds, cultures, and professional experiences work together to solve real world problems and create practical solutions.

• The organization offers structured learning opportunities, career development programs, mentorship, and exposure to cutting edge research initiatives.

• Employees have access to a supportive work environment that values creativity, collaboration, technical excellence, and personal growth.

• Through a combination of scientific expertise and technological innovation, SLB continues to play an important role in shaping the future of energy and industrial digital transformation.

Profile Overview

• SLB is seeking an IT Data Scientist who will contribute to solving challenging business and engineering problems through data driven research, machine learning, optimization, and advanced analytics.

• This role is designed for individuals who enjoy working on open ended problems where solutions are not predefined and innovation plays a key role in success.

• The selected candidate will work closely with engineers, researchers, product teams, and technology specialists to create intelligent systems capable of improving equipment performance, reliability, and operational efficiency.

• A major aspect of this role involves conducting research into emerging technologies and identifying new approaches that can improve diagnostics, predictive maintenance, forecasting, optimization, and decision making.

• The position requires strong analytical thinking, mathematical problem solving abilities, and proficiency in programming and machine learning techniques.

• Professionals in this role will work with large and complex datasets collected from industrial systems, manufacturing operations, testing environments, and monitoring platforms.

• The candidate will be expected to design, develop, validate, and deploy advanced algorithms that help identify anomalies, predict failures, and optimize system performance.

• Beyond technical implementation, the role also requires effective communication skills to present findings, research outcomes, recommendations, and technical insights to different stakeholders.

• The position provides an opportunity to work on impactful projects involving artificial intelligence, machine learning, deep learning, cloud technologies, optimization techniques, and industrial analytics.

• Individuals who are passionate about research, innovation, and applying advanced data science techniques to real world engineering challenges will find this role particularly rewarding.

Key Responsibilities

Research and Innovation

• Conduct independent research activities focused on solving complex data related challenges.

• Explore new technologies and emerging methodologies relevant to machine learning, optimization, diagnostics, and predictive analytics.

• Investigate innovative approaches for improving machinery monitoring and performance analysis.

• Evaluate advanced techniques for predictive maintenance and equipment health assessment.

• Develop research concepts that can be translated into practical industrial solutions.

• Generate original ideas that contribute to technological advancement and business value.

• Identify future research opportunities aligned with organizational objectives.

• Participate in technical reviews and contribute expertise to research discussions.

• Stay informed about developments in artificial intelligence, machine learning, and data science.

• Support innovation initiatives by experimenting with new tools, frameworks, and methodologies.

Machine Learning and Advanced Analytics

• Design and develop machine learning models for industrial applications.

• Apply supervised and unsupervised learning techniques to solve business and engineering challenges.

• Utilize deep learning methodologies where appropriate.

• Build predictive models that estimate equipment failures and maintenance requirements.

• Develop anomaly detection systems for identifying unusual operational behavior.

• Create optimization algorithms that improve system efficiency and performance.

• Apply statistical modeling techniques to generate actionable insights.

• Evaluate and compare multiple modeling approaches to determine the best solution.

• Improve model accuracy through feature engineering and data preparation.

• Continuously monitor and refine analytical models for better outcomes.

Data Processing and Engineering Support

• Work with large scale datasets generated from industrial operations.

• Process structured and unstructured data from multiple sources.

• Clean, transform, and prepare datasets for analytical use.

• Develop automated workflows for data processing activities.

• Support data integration initiatives across different systems.

• Analyze multivariate datasets containing operational and diagnostic information.

• Extract meaningful patterns and trends from complex data environments.

• Assist in creating scalable analytical solutions.

• Support data quality initiatives to ensure reliable results.

• Maintain documentation related to data preparation and analytical processes.

Engineering Collaboration

• Collaborate with field engineers to understand operational challenges.

• Partner with product teams to identify important monitoring metrics.

• Support engineering teams by translating data insights into practical recommendations.

• Participate in cross functional project discussions.

• Help define analytical requirements for technical projects.

• Contribute to the development of intelligent monitoring solutions.

• Assist in identifying opportunities for automation and optimization.

• Work closely with stakeholders to validate analytical findings.

• Provide technical guidance where necessary.

• Support the implementation of data driven decision making processes.

Communication and Reporting

• Present technical findings clearly to both technical and non technical audiences.

• Prepare reports that summarize research outcomes and analytical insights.

• Document methodologies, assumptions, and recommendations.

• Participate in meetings and technical presentations.

• Communicate project progress effectively.

• Share knowledge across teams and departments.

• Contribute to collaborative problem solving discussions.

• Support project planning and execution activities.

• Maintain transparency regarding analytical methodologies.

• Help stakeholders understand data driven recommendations.

Qualifications

• Strong educational foundation in quantitative disciplines such as Computer Science, Statistics, Mathematics, Physics, Data Science, Artificial Intelligence, or related fields.

• Ability to understand and solve complex analytical challenges using structured problem solving approaches.

• Strong programming capabilities, particularly in Python.

• Knowledge of software development best practices and coding standards.

• Understanding of linear algebra concepts commonly used in machine learning.

• Familiarity with probability theory and statistical analysis techniques.

• Knowledge of machine learning algorithms and their practical applications.

• Understanding of deep learning architectures and use cases.

• Exposure to Generative AI concepts and technologies.

• Ability to learn new technologies quickly and independently.

• Interest in research oriented problem solving.

• Experience working in Unix or Linux environments.

• Knowledge of shell scripting for automation tasks.

• Basic understanding of cloud computing principles.

• Familiarity with application development concepts.

• Understanding of data structures and algorithms.

• Knowledge of model evaluation and validation techniques.

• Ability to interpret analytical results and communicate insights.

• Strong attention to detail and commitment to quality.

• Good written and verbal communication skills.

• Ability to work effectively in collaborative environments.

Required Technical Skills

Programming

• Python

• Scripting and automation

• Software development fundamentals

• Code optimization and debugging

Mathematics and Statistics

• Linear Algebra

• Probability Theory

• Statistical Modeling

• Data Analysis Techniques

• Mathematical Problem Solving

Machine Learning

• Regression Algorithms

• Classification Algorithms

• Clustering Techniques

• Deep Learning Models

• Predictive Analytics

• Generative AI Concepts

• Model Evaluation Techniques

Data Science

• Data Preparation

• Feature Engineering

• Exploratory Data Analysis

• Predictive Modeling

• Data Visualization

• Pattern Recognition

Systems and Infrastructure

• Unix

• Linux

• Shell Scripting

• Cloud Computing Fundamentals

• Application Development Basics

Behavioral Competencies

• Strong curiosity and desire to learn.

• Creative approach toward solving problems.

• Ability to think independently and develop innovative solutions.

• Strong collaboration and teamwork mindset.

• Effective listening skills.

• Professional communication abilities.

• Strong presentation skills.

• Focus on achieving measurable outcomes.

• Commitment to quality and excellence.

• Ability to adapt to changing priorities and technologies.

• Strong analytical mindset.

• Positive attitude toward continuous improvement.

• Ability to work in multidisciplinary teams.

• Self motivation and accountability.

• Professional approach toward problem solving.

Preferred Skills

• Experience with TensorFlow.

• Experience with PyTorch.

• Exposure to computer vision applications.

• Understanding of natural language processing.

• Familiarity with speech processing technologies.

• Knowledge of Google Cloud Platform.

• Exposure to Microsoft Azure.

• Understanding of cloud based deployments.

• Experience designing REST APIs.

• Familiarity with backend frameworks such as Django.

• Experience with FastAPI.

• Knowledge of frontend technologies including JavaScript.

• Familiarity with HTML5.

• Understanding of Angular based development.

• Exposure to full stack application development.

• Experience integrating machine learning models into applications.

Benefits and Employee Value Proposition

• Opportunity to work with a globally recognized technology organization.

• Exposure to cutting edge research and innovation projects.

• Access to international career opportunities.

• Collaborative and multicultural work environment.

• Continuous learning and professional development programs.

• Health and insurance related benefits for employees and eligible dependents.

• Opportunity to work alongside industry experts and researchers.

• Access to advanced technologies and modern development tools.

• Inclusive workplace culture that values diversity.

• Strong emphasis on employee growth and career progression.

• Opportunities to contribute to impactful projects with global relevance.

• Exposure to real world industrial applications of artificial intelligence and data science.

• Supportive environment for innovation and experimentation.

• Opportunity to develop both technical and professional skills.

• Long term career growth within a technology driven organization.

Additional Info

• This position is ideal for fresh graduates and early career professionals interested in applying data science within industrial and engineering environments.

• The role combines research, machine learning, software development, and analytics, providing broad exposure across multiple technical domains.

• Candidates will have opportunities to work on real world challenges involving predictive maintenance, anomaly detection, optimization, and intelligent monitoring systems.

• The organization values curiosity, creativity, and continuous learning, making it an excellent environment for individuals looking to expand their technical expertise.

• Employees can expect to collaborate with experts across engineering, technology, and research disciplines.

• Exposure to cloud computing, machine learning operations, software development, and artificial intelligence technologies will help build a strong foundation for long term career growth.

• The position offers opportunities to contribute directly to projects that improve operational efficiency and technology innovation.

• Individuals with strong analytical thinking, programming abilities, and a passion for solving challenging problems are likely to excel in this role.

• The company promotes equal employment opportunities and maintains an inclusive hiring process.

• Candidates looking to establish a career in data science, artificial intelligence, machine learning, and industrial analytics should strongly consider this opportunity.

Please click here to apply.