📋 Job Details at a Glance 📍 Location Mumbai, Maharashtra, India 🏢 Company eClerx 👥 Experience Fresher 🎓 Qualification Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related technical stream 📅 Eligible Batch 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹20,000 – ₹35,000 per month 🏢 Industry Technology 🛠 Key Skills Python Pandas NumPy Scikit-learn SQL Power BI Tableau Intern (Data Science & Analytics) at eClerx — Full Details & How to Apply eClerx is seeking an Intern (Data Science & Analytics) in Mumbai, Maharashtra, India , offering freshers a chance to work with cutting-edge tools like Python and SQL in a growing field. This role is pivotal for those looking to launch their careers in data science. The demand for data-driven decision-making is surging in the technology sector, making this Intern (Data Science & Analytics) role crucial for eClerx 's growth. As companies increasingly rely on analytics for strategic insights, this position allows interns to contribute directly to enhancing business intelligence dashboards, thereby impacting client decision-making and operational efficiency. Founded in 2000 , eClerx employs over 12,000 professionals globally and specializes in data analytics and business process management. This scale and focus on innovation make eClerx an attractive employer for aspiring data scientists, providing a collaborative environment that fosters learning and growth. We encourage 2024, 2025, 2026 graduates with a Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related technical stream to apply. This Fresher experience role offers a competitive salary ranging from ₹20,000 – ₹35,000 per month , making it an excellent entry point into the industry. As an intern, you will gain practical exposure to industry-standard tools like Power BI and Tableau , setting you apart from peers. This role not only enhances your technical skills but also opens doors to various career paths in data science and analytics, positioning you for future opportunities in a high-demand field. 📊 Role Difficulty: Medium | Competition Level: Medium | 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 Intern (Data Science & Analytics) at eClerx will focus on analyzing data to provide actionable insights, directly impacting client projects and enhancing decision-making processes. Analyze datasets using Python and Pandas to derive actionable insights for client projects, ensuring data-driven recommendations. Perform exploratory data analysis (EDA) on structured and unstructured datasets using NumPy to identify trends and patterns. Collaborate with the data engineering team to ensure data quality and integrity, utilizing SQL for data validation. Develop and maintain SQL queries to extract and manipulate data for reporting purposes, enhancing data accessibility. Create visual dashboards using Power BI to present findings, facilitating clear communication of insights to stakeholders. Document processes and findings to ensure clarity and transparency in communication with stakeholders, supporting project continuity. Assist in solving client-specific problems by applying data-driven methodologies, leveraging analytical skills to drive solutions. This role fosters an ownership culture, allowing interns to make a direct impact on client outcomes through their analytical contributions. Required Skills & Technical Competencies The ideal candidate will possess a strong skill profile in data analysis and visualization, essential for effective decision-making in this role. Technical Skills Python — intermediate — essential for data analysis and manipulation, enabling interns to derive insights from datasets. Pandas — intermediate — used for data cleaning and transformation, critical for preparing datasets for analysis. SQL — intermediate — necessary for querying databases; interns should be able to write complex queries for data extraction. Power BI — entry — utilized for creating dashboards that visualize data findings, enhancing stakeholder presentations. Tableau — entry — can be used for additional data visualization tasks, providing alternative insights through graphical representation. Soft Skills & Professional Competencies Strong analytical thinking — crucial for interpreting data and making informed recommendations based on findings. Effective communication — necessary for documenting processes and presenting insights clearly to stakeholders. Attention to detail — important for ensuring data quality and accuracy throughout the analysis process. Problem-solving mindset — essential for addressing client-specific challenges using data-driven methodologies. Good to Have (Bonus Skills) Machine learning basics — understanding this can enhance predictive modeling capabilities and improve analysis. Experience with GitHub — useful for version control in collaborative projects, ensuring code integrity. Knowledge of statistics — aids in data interpretation and analysis, enhancing the quality of insights derived. When showcasing these skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact. Eligibility Criteria This internship is designed for fresh graduates eager to apply their academic knowledge in a practical setting within the data science field. Candidates must hold a Bachelor's or Master’s degree in Computer Science , Data Science , Statistics , Mathematics , or related fields. Eligible batches include 2024 , 2025 , and 2026 , targeting freshers for this internship opportunity. No prior experience is required, but strong academic performance in relevant subjects is preferred. A minimum CGPA of 6.0 or equivalent percentage is expected to demonstrate academic competence. Having a portfolio or GitHub showcasing relevant projects will be advantageous in the selection process. Documentation & Portfolio Requirements Submit your resume in a clear format, including your academic achievements, relevant projects, and any experience with the required skills. Pro tip: Highlight specific projects on your GitHub that demonstrate your proficiency in Python and SQL to stand out in your application. Salary for Intern (Data Science & Analytics) at eClerx 💰 Compensation ₹20,000 – ₹35,000 per month The advertised compensation for the Intern (Data Science & Analytics) role at eClerx is ₹20,000 – ₹35,000 per month . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at eClerx The selection process for the Intern (Data Science & Analytics) role is designed to assess both technical and interpersonal skills, ensuring candidates align with the company's values and job requirements. 1 Online Assessment — 60 minutes, testing basic programming and analytical skills. 2 Technical Interview — focuses on Python, SQL, and data analysis concepts. 3 Behavioral Interview — assesses cultural fit and problem-solving abilities. 4 HR Interview — discusses salary expectations and offer timeline. Topic-wise Preparation Guide Round 1: Online Assessment Data structures in Python — essential for writing efficient code — Khan Academy Basic SQL queries — important for data retrieval tasks — LeetCode Statistical concepts — foundational for data analysis — GeeksForGeeks Pandas functions — key for data manipulation — W3Schools Round 2: Technical Interview Python libraries (Pandas, NumPy) — depth in data handling expected — Udemy SQL joins and subqueries — critical for complex data extraction — GeeksForGeeks Data visualization techniques — understanding how to present data effectively — YouTube Machine learning basics — familiarity with algorithms can be beneficial — Coursera Exploratory Data Analysis (EDA) — importance of data insights — freeCodeCamp Round 3: Behavioral Interview Teamwork — using the STAR method to illustrate experiences. Problem-solving scenario — demonstrating analytical thinking. Technical deep-dive on a project — discussing specific challenges faced. Timeline & Expectations The typical timeline from application to offer can take 4-6 weeks , depending on the number of candidates and scheduling. Prepare thoroughly for each round, focusing on both technical skills and cultural fit, as eClerx values a well-rounded candidate. Expected Interview Questions for Intern (Data Science & Analytics) at eClerx These questions are based on the role's actual tech stack and are designed to evaluate both technical and soft skills. Technical Questions Explain how you would use Pandas to clean a messy dataset. What are the differences between INNER JOIN and LEFT JOIN in SQL? How would you visualize a dataset using Power BI? Describe a machine learning algorithm you are familiar with. What steps would you take to perform EDA on a new dataset? How do you handle missing data in a dataset? Behavioral Questions Describe a time you worked on a team project and your role in it. How do you prioritize tasks when working on multiple projects? What motivates you to pursue a career in data science? Tell us about a challenge you faced and how you overcame it. Role-Specific Questions What interests you about the role of Data Science Intern at eClerx ? How would you approach a project that requires data from multiple sources? What do you think is the most important skill for a data analyst? Structure your answers using the STAR method to clearly demonstrate your thought process and problem-solving abilities. Resume Tailoring & ATS Keywords for Intern (Data Science & Analytics) Optimizing your resume for ATS is crucial for ensuring it gets noticed for this role. ATS Keywords to Include Data Science Analytics Python SQL Pandas NumPy Power BI Tableau Exploratory Data Analysis Machine Learning Data Visualization Statistical Analysis Resume Tips for This Role Highlight any projects or coursework related to data science to demonstrate relevant skills. Emphasize experience with Python and SQL , as these are crucial for the role. Include links to your portfolio or GitHub to showcase your work. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experience that does not pertain to data science. 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; focus on relevant qualifications. About eClerx Founded in 2000 , eClerx has established a significant global presence with its headquarters in Mumbai, Maharashtra . The company employs over 12,000 people across multiple locations, including the US and UK , showcasing its extensive operational footprint in the technology sector. eClerx specializes in data analytics services, offering platforms like eClerx Analytics and eClerx Automation . These services empower businesses to optimize operations through actionable insights derived from data, enhancing decision-making processes across various industries. The company culture at eClerx is characterized by a supportive environment, as evidenced by its 4.1-star rating on Glassdoor . Employee programs focus on professional development, with initiatives such as mentorship and training that have earned recognition in the industry. Recently, eClerx expanded its service offerings in AI and machine learning , reflecting its commitment to innovation. This strategic move positions the company at the forefront of technological advancements, allowing it to better serve its clients and adapt to market demands. For freshers in technology, eClerx serves as a robust career launchpad. The company provides comprehensive training in data science, equipping interns with essential skills and knowledge that pave the way for future roles in analytics and data-driven decision-making. Why Join eClerx as Intern (Data Science & Analytics)? Joining eClerx as an intern offers a unique opportunity to gain practical experience in data science and analytics, with a focus on real-world applications and mentorship from industry experts. Hands-on Python Experience — interns will work directly with Python and its libraries, enhancing their data manipulation and analysis skills through practical projects. Visualization Skills Development — exposure to tools like Power BI and Tableau will enable interns to create interactive dashboards, improving their data presentation capabilities. Career Advancement Opportunities — after 1-2 years, interns can transition into roles such as Data Analyst or Data Scientist within eClerx, fostering long-term career growth. Collaborative Work Culture — interns will collaborate closely with experienced data scientists, gaining insights and guidance that enhance their learning experience. Vibrant Mumbai Lifestyle — located in Mumbai , eClerx offers access to a thriving tech ecosystem, providing interns with a vibrant lifestyle and networking opportunities. According to NexisGrow.com, starting your career at eClerx as an intern in Data Science & Analytics can significantly enhance your professional trajectory, providing you with the skills and experience needed to excel in the tech industry. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Intern (Data Science & Analytics) at eClerx? Eligibility Tap to expand + Answer Candidates with Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related technical stream and Fresher experience are eligible. Eligible batches: 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, Pandas, NumPy, Scikit-learn, SQL. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹20,000 – ₹35,000 per month. Final offer depends on skills, experience, and interview performance. ? What is the interview process at eClerx? 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, Scikit-learn, SQL. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Intern (Data Science & Analytics) interview? Preparation Tap to expand + Answer (1) Core concepts of Python, Pandas, NumPy, Scikit-learn, SQL, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) eClerx research, (5) Clear communication. ? What is the work culture like at eClerx? 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 Mumbai Browse all Tech jobs Latest Fresher jobs More jobs at eClerx 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