📋 Job Details at a Glance 📍 Location Pune, Maharashtra, India 🏢 Company EXL 👥 Experience 2-5 years 🎓 Qualification Bachelor’s or Master’s degree in Engineering or related quantitative/technical field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹8–₹14 LPA (Expected) 🏢 Industry Technology 🛠 Key Skills Python SQL NoSQL Apache Spark Machine Learning Deep Learning NLP LLMs GenAI RAG Data Scientist at EXL — Full Details & How to Apply EXL is seeking a Data Scientist in Pune, Maharashtra , where you can develop cutting-edge AI/ML solutions and work with advanced analytics tools like Apache Spark . This role offers a unique chance to contribute to innovative projects that shape the future of analytics. The demand for Data Scientist jobs is surging in India, as companies increasingly rely on AI and machine learning to drive decision-making and innovation. At EXL , this role is pivotal in developing AI/ML solutions that enhance service offerings, impacting clients across various industries and solidifying the company's position in the technology sector. EXL , founded in 1999 , has over 31,000 employees globally and specializes in analytics and AI solutions. The company is known for its focus on internal promotions and skill development, fostering a culture that encourages growth and innovation. This makes EXL recruitment particularly appealing for aspiring data scientists. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor’s or Master’s degree in Engineering or related quantitative/technical field to apply. Candidates should have 2-5 years experience in relevant fields, with a competitive salary range of ₹8–₹14 LPA (Expected) . In this role, you will gain hands-on experience with essential skills such as Python , SQL , NoSQL , Apache Spark , Machine Learning , Deep Learning , NLP , LLMs , GenAI , RAG , LangChain , FastAPI , Docker , and Data Analytics . This exposure not only enhances your technical expertise but also opens doors to advanced career opportunities in the tech industry. 📊 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 role at EXL is to develop innovative AI/ML solutions that leverage data to drive business insights and enhance operational efficiency for clients. Develop AI/ML solutions using Python and Apache Spark to process large datasets and deliver actionable insights for business strategies. Utilize SQL and NoSQL databases to manage and analyze both structured and unstructured data effectively, ensuring comprehensive data coverage. Collaborate with engineering and business teams to align analytical solutions with business objectives, utilizing Machine Learning techniques for optimal outcomes. Measure and report on the performance of deployed models, ensuring they meet specified KPIs and business goals through rigorous analysis. Take ownership of project timelines and deliverables, ensuring high-quality outputs within deadlines while employing Data Analytics methodologies. Document analytical processes and results, facilitating knowledge sharing and continuous improvement within the team using FastAPI for deployment. Engage with clients to understand their challenges and provide data-driven solutions that enhance their operational efficiency through Deep Learning applications. At EXL , we foster an ownership culture where your contributions directly impact client success and drive innovation in data science. Required Skills & Technical Competencies The Data Scientist role requires a robust skill profile in data processing, machine learning, and deployment technologies to effectively tackle complex analytical challenges. Technical Skills Python — advanced — essential for developing scalable data solutions and implementing machine learning algorithms at EXL . SQL — intermediate — used for querying databases to extract and manipulate data necessary for analysis and reporting. NoSQL — intermediate — utilized for managing unstructured data, enhancing data retrieval and analysis capabilities. Apache Spark — advanced — applied for processing large datasets efficiently, enabling real-time analytics. Machine Learning — advanced — employed to create predictive models that drive business decisions and improve client outcomes. Deep Learning — advanced — utilized for advanced data processing tasks, particularly in NLP and image recognition projects. Docker — intermediate — important for containerizing applications, ensuring consistency across development and production environments. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact. Eligibility Criteria This role is designed for candidates with a strong technical foundation in data science and analytics, eager to contribute to innovative solutions at EXL . Candidates must hold a Bachelor's or Master's degree in Engineering or a related quantitative field. Eligible batches include 2023 , 2024 , 2025 , and 2026 , allowing recent graduates to apply. The experience requirement of 2-5 years indicates that freshers can apply, but relevant internships or projects are advantageous. A minimum academic performance of 60% or equivalent CGPA is expected to ensure a strong grasp of technical concepts. Having a portfolio or GitHub showcasing relevant projects can significantly enhance a candidate's application. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting relevant skills and experiences. Include links to your portfolio or GitHub showcasing your projects. Pro tip: Tailor your application to highlight specific projects that utilized Machine Learning or Deep Learning techniques relevant to the role. Salary for Data Scientist at EXL 💰 Compensation ₹8–₹14 LPA (Expected) The advertised compensation for the Data Scientist role at EXL is ₹8–₹14 LPA (Expected) . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Data Scientist Upskilling with the right resources significantly improves your chances of selection for the Data Scientist role at EXL . Recommended Courses & Resources Python — Essential for data manipulation and analysis in this role. SQL — Crucial for querying databases and managing data effectively. Apache Spark — Important for handling large datasets and performing analytics. Machine Learning — Core to developing predictive models and algorithms. KodNest — Provides practical coding experience relevant to data science projects. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor your resume for the specific role — Customize your resume for the Data Scientist position. ❌ Neglecting to showcase relevant projects or internships — Highlight your technical skills through specific examples. ❌ Using generic language instead of specific examples — Focus on achievements that demonstrate your contributions. ❌ Overlooking the importance of formatting — Ensure your resume is readable and ATS-compatible. ❌ Not preparing for technical interviews — Practice relevant coding and analytical problems. ❌ Ignoring the application deadline — Follow application instructions precisely and on time. Before You Apply — Checklist ✅ Research EXL and understand its core services and recent developments. ✅ Update your resume to reflect relevant skills and experiences tailored to the Data Scientist role. ✅ Prepare a cover letter that highlights your interest in data science and why you're a good fit for EXL . ✅ Gather any necessary documents, such as transcripts or certificates, to support your application. ✅ Practice common data science interview questions and technical assessments. ✅ Ensure your LinkedIn profile is up-to-date and reflects your skills and experiences. ✅ Follow the application link and complete all required fields accurately. ✅ Set a reminder to follow up on your application status after submission. Resume Tailoring & ATS Keywords for Data Scientist Optimizing your resume for ATS is crucial for securing an interview for the Data Scientist role at EXL . ATS Keywords to Include Data Scientist Python Machine Learning Deep Learning NLP Apache Spark SQL NoSQL Model Deployment Generative AI LangChain FastAPI Resume Tips for This Role Highlight your experience with Python and machine learning projects relevant to the role. Emphasize teamwork and collaboration experiences, especially in cross-functional settings. Include specific projects or internships that demonstrate your skills in data analytics and model deployment. Optimize your resume for ATS by using keywords from the job description, particularly technical skills. Avoid including irrelevant work experiences or skills that do not align with the job requirements. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including generic skills that do not directly relate to the Data Scientist position. How to Apply for Data Scientist at EXL Apply Now — EXL Visit the application portal using the provided link. Upload your resume in PDF format, ensuring it is tailored to the job description. Fill out the application form accurately, paying attention to required fields. After submission, expect a confirmation email and keep an eye on your inbox for further communication. You can track your application status through the portal by logging in with your credentials. Applications reviewed on a rolling basis — early submission recommended. Apply Now — EXL NexisGrow.com does not charge any fees for job applications. EXL EXL was founded in 1999 and is headquartered in New York City . With a global footprint, the company operates in over 25 countries and employs more than 30,000 professionals , including a significant number in Pune, Maharashtra . This extensive reach allows EXL to serve clients across various industries, enhancing operational efficiency and customer engagement. EXL specializes in analytics, AI, and digital transformation services. Key offerings include EXL Analytics , EXL Digital , and EXL Insurance , which leverage advanced technologies such as Machine Learning and Natural Language Processing (NLP) . These solutions empower clients to optimize their operations and improve customer experiences through data-driven insights. The workplace culture at EXL has been recognized with a Glassdoor rating of 4.1 , reflecting high employee satisfaction. The company promotes diversity and inclusion through various employee programs, including mentorship initiatives and professional development opportunities. Such accolades highlight EXL 's commitment to fostering a supportive work environment. Recently, EXL has expanded its capabilities in Generative AI and advanced analytics, positioning itself as a thought leader in the technology sector. This strategic focus on innovation has led to partnerships with leading tech firms and investments in cutting-edge technologies, enhancing its service offerings and market presence. For freshers in technology, EXL offers a robust career launchpad. The opportunity to work with industry-leading technologies such as Apache Spark and FastAPI allows new employees to gain hands-on experience. Mentorship from seasoned professionals further enriches their learning journey, making EXL an ideal place to kickstart a career in technology. Company Details Industry Technology Location Pune, Maharashtra, India Connect With Us Careers Apply Now Website 🔗 fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Data Scientist at EXL? Eligibility Tap to expand + Answer Candidates with Bachelor’s or Master’s degree in Engineering or related quantitative/technical field and 2-5 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: Python, SQL, NoSQL, Apache Spark, Machine Learning. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹8–₹14 LPA (Expected). Final offer depends on skills, experience, and interview performance. ? What is the interview process at EXL? 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, SQL, NoSQL, Apache Spark, Machine Learning. ? 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, SQL, NoSQL, Apache Spark, Machine Learning, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) EXL research, (5) Clear communication. ? What is the work culture like at EXL? 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 EXL 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