📋 Job Details at a Glance 📍 Location Bangalore, Karnataka, India 🏢 Company Mahindra & Mahindra 👥 Experience 2+ years 🎓 Qualification Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative engineering discipline 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹10 – ₹18 LPA 🏢 Industry Technology 🛠 Key Skills Python Pandas NumPy Matplotlib Seaborn scikit-learn XGBoost CatBoost TensorFlow PyTorch Data Scientist at Mahindra & Mahindra — Full Details & How to Apply Mahindra & Mahindra is seeking a Data Scientist in Bangalore, Karnataka, India , where you'll work on large-scale automotive datasets and utilize advanced machine learning techniques. This role offers a unique chance to directly influence the development of predictive models that enhance vehicle performance and customer experience. The demand for Data Scientist jobs in the automotive technology sector is surging, with companies like Mahindra & Mahindra leading the charge in innovation. As the industry evolves, the need for professionals who can analyze and interpret complex data is more critical than ever. This position places you at the forefront of this transformation, allowing you to contribute to significant advancements in automotive technology. What makes Mahindra & Mahindra notable for this role is its rich history and scale. Founded in 1945 , the company has grown to employ over 150,000 people globally, making it a significant player in both the automotive and technology sectors. The culture at Mahindra & Mahindra emphasizes innovation and collaboration, providing a supportive environment for data professionals to thrive. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative engineering discipline to apply. Candidates should have 2+ years experience in relevant fields, with a competitive salary ranging from ₹10 – ₹18 LPA . This role is also fresher-friendly, making it an excellent entry point into the industry. In this position, you will gain hands-on experience with essential skills and technologies such as Python , Pandas , NumPy , Matplotlib , Seaborn , scikit-learn , XGBoost , CatBoost , TensorFlow , PyTorch , Docker , FastAPI , MLflow , and cloud platforms like AWS , GCP , and Azure . This exposure will not only enhance your technical expertise but also open doors to advanced roles in data science and machine learning within a few 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 Data Scientist at Mahindra & Mahindra will focus on developing predictive models to enhance vehicle performance metrics, leveraging data-driven insights to drive innovation and efficiency. Develop predictive models using Python and scikit-learn to enhance vehicle performance metrics, ensuring accuracy and reliability in predictions. Utilize AWS for deploying scalable data pipelines that support real-time analytics, optimizing data flow and processing. Collaborate with cross-functional teams, including product development and marketing, to align data insights with business objectives and enhance decision-making. Monitor model performance using MLflow , ensuring continuous improvement and accuracy of predictions through rigorous evaluation. Take ownership of data quality initiatives, implementing best practices for data governance to maintain high standards of data integrity. Document processes and findings clearly to facilitate knowledge transfer within the team, promoting a culture of learning and improvement. Engage with stakeholders to solve complex data-related challenges, providing actionable insights that drive strategic initiatives. This role fosters an ownership culture, allowing you to make a direct impact on the organization through innovative data solutions. Required Skills & Technical Competencies The ideal candidate will possess a robust skill profile, combining technical expertise with analytical capabilities to drive data-driven decision-making. Technical Skills Python — advanced — essential for data manipulation and model development, utilizing libraries like Pandas and NumPy . Pandas — advanced — used for data manipulation and analysis, enabling efficient handling of large datasets. NumPy — advanced — crucial for numerical computations and array operations in data processing tasks. Matplotlib — intermediate — employed for data visualization to present findings effectively to stakeholders. Seaborn — intermediate — utilized for creating informative statistical graphics, enhancing data storytelling. scikit-learn — advanced — used for implementing machine learning algorithms and model evaluation. XGBoost — intermediate — applied for building efficient and scalable machine learning models. TensorFlow — intermediate — used for model training and deployment in deep learning applications. PyTorch — intermediate — utilized for developing and training neural networks, enhancing model performance. AWS — intermediate — leveraged for cloud-based data solutions and scalable infrastructure. GCP — intermediate — familiar for deploying machine learning models and managing data workflows. Azure — intermediate — used for cloud services that support data analytics and machine learning. Docker — intermediate — applied for containerization to streamline deployment processes. FastAPI — intermediate — utilized for building APIs that improve model integration efficiency. MLflow — intermediate — employed for tracking model performance and ensuring continuous improvement. Soft Skills & Professional Competencies Strong analytical skills to interpret complex datasets and derive meaningful insights that inform business strategies. Effective communication skills to present technical findings to non-technical stakeholders, ensuring clarity and understanding. Problem-solving abilities to tackle complex data-related challenges, providing actionable insights that drive innovation. Attention to detail to ensure data quality and accuracy in all analyses and reporting. Good to Have (Bonus Skills) Knowledge of Generative AI can enhance your contributions to innovative projects. Experience with Docker for containerization will streamline deployment processes. Familiarity with FastAPI for building APIs can improve the efficiency of model integration. When showcasing these skills in your resume or interview, emphasize specific projects where you applied these technologies to achieve measurable outcomes. Eligibility Criteria This role is designed for candidates with a strong quantitative foundation and relevant experience in data science. Candidates must hold a Bachelor's or Master's degree in Computer Science , Data Science , Statistics , or a related field. Eligible batches include 2023 to 2026 , allowing recent graduates to apply and kickstart their careers. The role requires a minimum of 2 years of professional experience, making it ideal for those transitioning from internships or entry-level positions. A CGPA of 7.0 or above is preferred, reflecting a solid academic background. Having a portfolio or GitHub showcasing relevant projects will enhance your application. Documentation & Portfolio Requirements Ensure your resume is formatted clearly, highlighting your educational background, relevant skills, and project experiences. Include links to your portfolio or GitHub to showcase your work. Pro tip: Tailor your application to highlight specific projects that demonstrate your expertise in the required skills and technologies. Salary for Data Scientist at Mahindra & Mahindra 💰 Compensation ₹10 – ₹18 LPA The advertised compensation for the Data Scientist role at Mahindra & Mahindra is ₹10 – ₹18 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at Mahindra & Mahindra The selection process for the Data Scientist role is designed to assess both technical skills and cultural fit, ensuring candidates align with the company's values. 1 Online Assessment — 60 minutes, testing coding skills and basic data science concepts. 2 Technical Interview — focus on machine learning algorithms, data structures, and Python programming. 3 Behavioral Interview — assessing cultural fit and problem-solving approaches through scenario-based questions. 4 HR Interview — discussing offer details and company culture, typically within a week of the last interview. Topic-wise Preparation Guide Round 1: Online Assessment Data Structures — understanding arrays, lists, and dictionaries relevant to Python programming — GeeksForGeeks Basic Statistics — concepts like mean, median, and standard deviation for data analysis — Khan Academy Machine Learning Fundamentals — key algorithms and their applications — Coursera Python Libraries — familiarity with Pandas and NumPy for data manipulation — W3Schools Round 2: Technical Interview Machine Learning Algorithms — in-depth knowledge of regression, classification, and clustering techniques — Coursera Python Proficiency — coding challenges focused on data manipulation and analysis — LeetCode Data Visualization — using Matplotlib and Seaborn to interpret data — YouTube Cloud Technologies — understanding AWS services relevant to data science — AWS Training Model Evaluation Techniques — metrics like accuracy, precision, and recall — Coursera Round 3: Behavioral Interview Behavioral Questions — using the STAR method to discuss past experiences — MindTools Team Collaboration — examples of working effectively in a team setting — Coursera Technical Deep-Dive — discussing a specific project or model you've worked on — YouTube Timeline & Expectations The application to offer timeline typically spans 2-4 weeks , depending on the number of candidates and interview schedules. Prepare thoroughly for each round, as the company values both technical expertise and cultural fit. Expected Interview Questions for Data Scientist at Mahindra & Mahindra These questions are based on the role's actual tech stack and are designed to evaluate both technical and behavioral competencies. Technical Questions Explain how you would implement a machine learning model using TensorFlow. What are the differences between XGBoost and CatBoost? How do you handle missing data in a dataset? Describe the process of deploying a model on AWS. What metrics would you use to evaluate a classification model? Can you explain the bias-variance tradeoff? 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 had to work with a difficult team member. How do you handle feedback on your work? Role-Specific Questions What steps would you take to improve the performance of a predictive model? How do you ensure data quality in your analyses? Can you discuss a project where you used machine learning to solve a real-world problem? Structure your answers using the STAR method to clearly articulate your thought process and experiences. Resume Tailoring & ATS Keywords for Data Scientist Optimizing your resume for ATS is crucial for ensuring it gets noticed for this role. ATS Keywords to Include Data Scientist Machine Learning Python TensorFlow AWS Predictive Modeling Data Visualization Pandas NumPy MLflow Docker Cloud Computing Resume Tips for This Role Highlight specific projects that demonstrate your experience with machine learning and data analysis. Emphasize your proficiency in Python and relevant libraries, as these are crucial for the role. Include links to your GitHub or portfolio showcasing your work in data science. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experience that does not showcase 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 experiences that do not relate to data science. About Mahindra & Mahindra Founded in 1945 , Mahindra & Mahindra is headquartered in Mumbai, India , and operates in over 100 countries , showcasing its extensive global footprint. With a workforce of over 150,000 employees , the company has established itself as a leader in various sectors, including automotive and agribusiness. The company's diverse portfolio includes notable products such as Mahindra Scorpio in automotive, Mahindra Tractors in agribusiness, and cutting-edge IT services through Mahindra Comviva . This variety reflects Mahindra & Mahindra's commitment to innovation and technology across multiple industries. Mahindra & Mahindra has received several accolades for its workplace culture, including a commendable 4.2 rating on Glassdoor . The company actively promotes employee engagement through programs like Mahindra Rise , which focuses on personal and professional development, fostering a supportive environment. Recently, Mahindra & Mahindra announced a substantial investment in electric vehicle technology , aiming to enhance its market presence and align with global sustainability initiatives. This strategic move reflects the company's dedication to innovation and adapting to changing market demands. For freshers in technology, Mahindra & Mahindra offers a unique launchpad for a career in data science. With access to cutting-edge projects and mentorship from industry leaders, new employees can develop their skills in a supportive and innovative atmosphere. Why Join Mahindra & Mahindra as Data Scientist? Joining Mahindra & Mahindra as a Data Scientist provides unparalleled opportunities to work with advanced technologies and large datasets, enhancing your expertise in data analysis and machine learning. Hands-on Experience — Gain practical skills with TensorFlow and PyTorch , essential for developing machine learning models. Large-scale Datasets — Work with extensive automotive datasets, improving your capabilities in data analysis and predictive modeling. Career Advancement — After 1-2 years, transition into senior data roles or specialized positions in machine learning engineering. Collaborative Culture — Engage in a culture that encourages knowledge sharing and innovation, ideal for continuous learning. Bangalore Ecosystem — Benefit from the vibrant tech ecosystem in Bangalore, Karnataka , offering numerous networking opportunities. According to NexisGrow.com, a career as a Data Scientist at Mahindra & Mahindra positions you at the forefront of technological advancements, making it an excellent choice for aspiring professionals. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Data Scientist at Mahindra & Mahindra? Eligibility Tap to expand + Answer Candidates with Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative engineering discipline and 2+ 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: Python, Pandas, NumPy, Matplotlib, Seaborn. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹10 – ₹18 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Mahindra & Mahindra? 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: Python, Pandas, NumPy, Matplotlib, Seaborn. ? 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 Python, Pandas, NumPy, Matplotlib, Seaborn, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Mahindra & Mahindra research, (5) Clear communication. ? What is the work culture like at Mahindra & Mahindra? 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 Bangalore Browse all Tech jobs Latest Fresher jobs More jobs at Mahindra & Mahindra 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