Data Scientist at Gartner

📋 Job Details at a Glance 📍 Location Gurgaon, Haryana, India 🏢 Company Gartner 👥 Experience 3-6 years 🎓 Qualification Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹18–30 LPA 🏢 Industry Technology 🛠 Key Skills Python ML/DL LLMs RAG NLP Transformers TensorFlow PyTorch scikit-learn AWS Data Scientist at Gartner — Full Details & How to Apply Gartner is seeking a Data Scientist in Gurgaon, Haryana, India , where you'll leverage cutting-edge AI technologies to drive impactful data insights. With a salary range of ₹18–30 LPA , this role offers a lucrative start for freshers. The demand for Data Scientist jobs is surging in the technology sector, particularly as companies increasingly rely on data analytics to inform their strategies. Gartner , a leader in AI and data solutions, is at the forefront of this trend, providing essential insights that help clients make informed decisions. This role is crucial for enhancing Gartner's ability to deliver actionable intelligence, making it a pivotal position within the organization. What sets Gartner apart as an employer is its commitment to innovation and employee development. Founded in 1979 , Gartner has grown to over 15,000 employees globally, recognized for its research and advisory services in technology. The company fosters a culture of continuous learning, ensuring that its employees are equipped with the latest skills and knowledge in the field. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field to apply. Candidates should have 3-6 years experience in relevant roles. This position offers a competitive salary of ₹18–30 LPA , making it an attractive opportunity for those looking to advance their careers. In this role, you will work with advanced tools such as Python , TensorFlow , PyTorch , and scikit-learn , gaining hands-on experience in machine learning and deep learning. This exposure not only enhances your technical skills but also opens doors to various career paths in data science and analytics, positioning you for rapid advancement 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 Gartner is to leverage data analytics to drive strategic insights and enhance AI capabilities through innovative machine learning solutions. Execute data science projects by analyzing structured and unstructured data using Python and scikit-learn to derive actionable insights that inform business strategies. Develop machine learning models utilizing TensorFlow and PyTorch to enhance Gartner's AI capabilities, ensuring models are robust and scalable. Collaborate with cross-functional teams, including product management and engineering, to integrate data-driven solutions that align with business objectives. Monitor and evaluate model performance metrics to ensure high accuracy and reliability in data predictions, using tools like scikit-learn . Take ownership of project timelines and deliverables, ensuring alignment with business objectives and effective communication with stakeholders. Document methodologies and findings clearly to facilitate knowledge sharing within the team, enhancing collaborative efforts. Engage with clients to understand their data needs and provide tailored analytical solutions that drive value and satisfaction. In this role, you will take ownership of your projects, directly impacting Gartner's success through data-driven insights and innovative solutions. Required Skills & Technical Competencies The ideal candidate for the Data Scientist position will possess a robust skill set in data analysis, machine learning, and cloud technologies essential for delivering impactful solutions. Technical Skills Python — advanced — essential for data manipulation and model development, requiring proficiency in libraries like pandas and NumPy . Machine Learning/Deep Learning — advanced — practical application in building predictive models that drive business insights. Natural Language Processing (NLP) — intermediate — used daily to analyze text data and extract meaningful patterns. AWS — intermediate — familiarity with cloud platforms for deploying scalable data solutions. Azure — intermediate — experience in utilizing cloud services for data processing and analytics. GCP — intermediate — knowledge of Google Cloud Platform for managing data workflows and analytics. Databricks — intermediate — used for big data processing and analytics, enhancing data handling capabilities. Spark — intermediate — experience in leveraging Spark for large-scale data processing and analysis. 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 academic background and relevant experience in data science and analytics. Candidates must hold a Bachelor’s or Master’s degree in Computer Science , Data Science , Statistics , Mathematics , Engineering , or a related field. Eligible batches include 2023 , 2024 , 2025 , and 2026 , allowing recent graduates to apply and start their careers. The experience requirement of 3-6 years indicates that freshers should have relevant internships or projects to demonstrate their skills. A minimum academic performance of 60% is preferred, ensuring candidates have a solid foundational knowledge. 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, including your educational background, relevant experience, and links to your portfolio or GitHub showcasing your projects. Pro tip: Highlight specific projects where you utilized Python and TensorFlow to solve real-world problems, as this will resonate with the hiring team. Salary for Data Scientist at Gartner 💰 Compensation ₹18–30 LPA The advertised compensation for the Data Scientist role at Gartner is ₹18–30 LPA . 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 enhances your chances of selection for the Data Scientist role at Gartner . Recommended Courses & Resources Python — Essential for data manipulation and analysis in data science projects. TensorFlow — Crucial for building and training machine learning models effectively. PyTorch — Important for deep learning applications and model development. scikit-learn — Key for implementing machine learning algorithms and data preprocessing. KodNest — Offers practical projects that enhance your data science skills. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor your resume — Highlight relevant skills and experiences specific to data science. ❌ Neglecting to include quantifiable achievements — Showcase measurable successes in previous roles or projects. ❌ Overlooking the importance of showcasing technical skills — Emphasize your proficiency in Python and machine learning. ❌ Submitting a generic cover letter — Address Gartner's specific needs in your application. ❌ Ignoring the application deadline — Always follow application instructions carefully. ❌ Not preparing adequately for technical interviews — Practice relevant data science problems beforehand. Before You Apply — Checklist ✅ Research Gartner's recent projects and initiatives to tailor your application. ✅ Update your resume to reflect relevant skills and experiences. ✅ Prepare a portfolio of projects that demonstrate your data science capabilities. ✅ Ensure your LinkedIn profile is up-to-date and aligns with your resume. ✅ Gather references who can speak to your technical skills and work ethic. ✅ Practice common data science interview questions and coding challenges. ✅ Review the job description thoroughly to understand the expectations. ✅ Double-check your application for errors before submission. Resume Tailoring & ATS Keywords for Data Scientist Optimizing your resume for ATS is crucial for securing the Data Scientist role at Gartner . ATS Keywords to Include Data Scientist Python Machine Learning Deep Learning NLP TensorFlow PyTorch AWS Azure GCP scikit-learn Databricks Resume Tips for This Role Highlight your proficiency in Python and relevant libraries, as these are crucial for the role. Emphasize any projects or internships that involved machine learning or data analysis. Include a link to your portfolio or GitHub to showcase your practical experience. Optimize your resume with keywords from the job description to pass ATS screening. Avoid including unrelated work experience that does not demonstrate your data science skills. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Do not include irrelevant personal information or unrelated job experiences in your resume for this role. How to Apply for Data Scientist at Gartner Apply Now — Gartner Visit the application portal and create an account to start your application. Upload your resume in PDF format, ensuring it is tailored to the job description. Fill out the application form accurately, providing all required information. After submission, you can expect a confirmation email regarding your application status. Use the application tracking feature to monitor the progress of your application. Applications reviewed on rolling basis — early submission recommended. Apply Now — Gartner NexisGrow.com does not charge any fees for job applications. Gartner Gartner was founded in 1979 and is headquartered in Stamford, Connecticut . With a significant presence in Gurgaon, Haryana , the company employs over 1,000 professionals in the region. This global footprint allows Gartner to serve clients in more than 100 countries , providing insights that drive technology decisions. Gartner is well-known for its Magic Quadrant reports and comprehensive research services. These offerings assist businesses in evaluating technology solutions effectively. Additionally, Gartner provides advisory services and consulting, enabling organizations to leverage data-driven insights for strategic planning and operational efficiency. The company culture at Gartner has earned multiple accolades, including a Glassdoor rating of 4.2 , reflecting high employee satisfaction. Gartner invests in its workforce through various training programs and mentorship opportunities, fostering a collaborative environment that encourages professional growth and innovation. Recently, Gartner announced a strategic partnership with leading cloud providers, enhancing its capabilities in AI and machine learning . This initiative aims to integrate advanced technologies into its offerings, further solidifying Gartner's position as a thought leader in the technology sector. Joining Gartner as a fresher in technology provides unparalleled access to industry-leading training programs and mentorship opportunities. The company's commitment to employee development equips new hires with essential skills in areas like data science and machine learning , making it an ideal launchpad for a successful career. Company Details Industry Technology Location Gurgaon, Haryana, India Connect With Us Careers Apply Now Website 🔗 …