Data Science - Trainee at Incedo

📋 Job Details at a Glance 📍 Location Gurugram, Haryana, India 🏢 Company Incedo 👥 Experience 0-2 years 🎓 Qualification Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹3.5 – ₹5.5 LPA (Standard industry entry-level package for engineering/analytics trainees) 🏢 Industry Technology 🛠 Key Skills Communication Skills Problem Solving Basic Computer Knowledge Data Science - Trainee at Incedo — Full Details & How to Apply Incedo is seeking passionate individuals for the Data Science - Trainee role in Gurugram, Haryana, India . This is your chance to kickstart a career in technology with a leading company that values innovation and talent. The Data Science - Trainee position is a gateway to a fulfilling career in the rapidly evolving tech landscape, where data-driven decisions are paramount. In today’s data-driven landscape , the role of a Data Science - Trainee is more crucial than ever. Organizations are increasingly relying on analytics to drive decisions, enhance customer experiences, and foster innovation. As businesses strive to leverage data for competitive advantage, the demand for skilled data professionals continues to surge. This makes the Data Science - Trainee role not only relevant but essential for those looking to make a significant impact in the technology sector. Incedo stands out as an employer due to its unwavering commitment to nurturing talent and fostering a collaborative environment. The company emphasizes continuous learning and provides robust training programs that equip trainees with the skills needed to excel in the field of data science. Working at Incedo means being part of a culture that encourages innovation and values the contributions of every team member, making it an ideal place for aspiring data scientists to thrive. This role is ideal for both freshers and candidates with up to 2 years of experience . If you hold a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field , and are part of the 2023, 2024, 2025, or 2026 graduating classes, you are encouraged to apply. The Data Science - Trainee position is tailored for those eager to learn and grow in a supportive environment. As a Data Science - Trainee , you will gain invaluable experience in cloud architecture , production-grade Java development , and Agile workflows . You will have the opportunity to work on impactful projects that utilize data to solve real-world problems, contributing directly to business success. This role will not only enhance your technical skills but also refine your problem-solving and communication skills , setting a strong foundation for your career in data science. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting, ensuring you have the most accurate and up-to-date information to apply online for the Data Science - Trainee position at Incedo . Job Role & Responsibilities The role of a Data Science - Trainee at Incedo is pivotal in driving data-driven decision-making processes within the organization. As a trainee, you will engage in analyzing complex datasets to extract meaningful insights that will enhance operational efficiency and support strategic initiatives. Analyze complex datasets to derive actionable insights, enhancing Incedo's data-driven decision-making processes. Utilize tools such as Python , R , and SQL to perform data manipulation and statistical analysis, ensuring accurate results. Collaborate with cross-functional teams to understand business requirements and translate them into effective data solutions. Track and report on key performance metrics, providing stakeholders with regular updates on project progress and outcomes. Engage in continuous learning and development, taking ownership of personal growth within the data science domain. Document methodologies and findings clearly, ensuring transparency and knowledge sharing across teams. Identify innovative solutions to data-related challenges, contributing to the overall efficiency of Incedo's operations. Participate in team meetings to discuss project goals and share insights, fostering a collaborative environment. This role fosters an ownership culture, encouraging you to take initiative and make impactful contributions that align with Incedo's mission and objectives. Required Skills & Technical Competencies We are seeking candidates with a robust skill profile that combines technical prowess and strong analytical capabilities. The ideal candidate will be equipped to tackle data challenges effectively while communicating insights clearly to stakeholders. Technical Skills Python (Intermediate) — essential for data analysis and model building in this role. R (Basic) — used for statistical analysis and data visualization tasks. SQL (Intermediate) — required for querying and managing relational databases. Data Visualization Tools (Tableau, Power BI) — enhances your ability to present findings effectively. Statistical Concepts (Basic to Intermediate) — necessary for interpreting data and deriving insights. Data Manipulation Techniques — crucial for cleaning and preparing datasets for analysis. Soft Skills & Professional Competencies Problem-solving — strong ability to interpret data and develop effective solutions tailored to business needs. Communication Skills — necessary to articulate complex data insights to non-technical stakeholders. Team Collaboration — ability to work effectively within cross-functional teams. Time Management — essential for meeting deadlines and managing multiple projects. Good to Have (Bonus) GitHub — showcasing projects and code samples to demonstrate your skills. Certifications in Data Science — can significantly strengthen your application. Familiarity with Cloud Platforms (AWS, Azure) — beneficial for handling large datasets. To effectively showcase these skills in your resume or during interviews, highlight relevant projects, internships, and any practical experience with the tools and technologies mentioned above. Eligibility Criteria This role is designed for recent graduates who are eager to kickstart their careers in data science. We welcome applications from candidates who meet the following criteria. Candidates must hold a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics , or a related quantitative field. Eligible batches include 2023, 2024, 2025, and 2026 graduates. A minimum CGPA of 6.0 or equivalent is preferred to ensure a solid academic foundation. Prior internship or hands-on project experience in data science is a strong advantage. Strong communication skills and a passion for data are essential. Willingness to learn and adapt in a fast-paced environment is crucial. Documentation & Portfolio Requirements Prepare a well-structured resume highlighting your educational background, relevant projects, and any certifications. Include a link to your GitHub or portfolio showcasing your work in data science. Pro Tip: Tailor your application by emphasizing your data-related projects and any experience with tools mentioned in the job description to improve your application success rate. Salary & Benefits 💰 Compensation ₹3.5 – ₹5.5 LPA (Standard industry entry-level package for engineering/analytics trainees) The compensation philosophy at Incedo for the Data Science - Trainee role is designed to align with industry standards while ensuring that employees feel valued and supported. The salary for this position ranges from ₹3.5 – ₹5.5 LPA , which reflects the competitive nature of entry-level roles in analytics and data science. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Learning and Development Programs — access to various training sessions and certifications to enhance your skills Flexible Working Hours — allowing you to maintain a healthy work-life balance Transport Allowance — financial support for commuting to and from work Performance-Based Bonuses — additional compensation based on your contributions and achievements Additional Perks & Benefits Meal Vouchers — subsidized meals to ensure you stay energized throughout the day Mentorship Opportunities — guidance from experienced professionals to help you navigate your career Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Hybrid Work Arrangements — flexibility to work from home or the office Structured Promotion Timelines — clear pathways for career advancement within the company Career Progression & Salary Growth At Incedo , appraisal cycles are conducted annually, with typical raise percentages ranging from 10% to 20% based on performance. The company emphasizes rapid career advancement through structured promotion timelines and internal mobility options, ensuring that employees have ample opportunities to grow. NexisGrow.com tip: When negotiating your salary, consider discussing your unique skills and any relevant projects that demonstrate your potential value to Incedo . Selection Process The hiring philosophy at Incedo emphasizes finding candidates who not only possess the necessary skills for the Data Science - Trainee role but also align with the company's culture and values. The selection process is designed to assess both technical and interpersonal skills. 1 Round 1: Initial Screening — review of applications based on qualifications and relevant experience 2 Round 2: Technical Interview — focusing on data science concepts, problem-solving abilities, and coding skills 3 Round 3: Behavioral Interview — assessing cultural fit and communication skills within the team context 4 Final Stage: Offer Presentation — includes background verification process to confirm candidate credentials What Each Round Tests Round 1 focuses on your educational background and any relevant experience. Round 2 tests your technical knowledge in data science and your ability to solve real-world problems. Round 3 evaluates your communication skills and how well you would fit into the company culture. Timeline & Expectations The entire selection process typically spans 3-4 weeks from application submission to final offer. Candidates can expect timely communication from Incedo regarding their application status and next steps. Interview Prep Tip: Familiarize yourself with common data science interview questions and practice coding challenges to excel in the technical interview. How to Apply for Data Science - Trainee at Incedo Apply Now — Incedo Step 1: Click the Apply button or visit the official career link provided to access the application portal. Step 2: Fill in your profile and upload your resume, highlighting relevant projects and skills that align with the Data Science - Trainee role. Step 3: Expect a confirmation email regarding your application status and details about the screening process. Step 4: Applications are accepted on a rolling basis, so apply early to increase your chances of consideration. Step 5: To stand out, tailor your resume to emphasize your data-related experiences and showcase any relevant projects. Resume & Profile Tips for This Role Highlight Technical Skills — emphasize your proficiency in Python and R for data analysis. Showcase Projects — include any hands-on project experience related to data science or analytics. Detail Educational Background — mention your B.Tech or MCA degree and relevant coursework. Include Internships — prior internship experience in data analytics is a strong advantage. Applying early is beneficial as it increases your chances of being considered for the Data Science - Trainee role at Incedo . Apply Now — Official Link NexisGrow.com does not charge any fees for job applications. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the eligibility criteria for the Data Science Trainee role at Incedo? Eligibility Tap to expand + Answer Candidates must have a relevant degree, be from the specified batches, and ideally have some project experience in data science. ? What is the interview process for Data Science Trainee at Incedo? Interview Tap to expand + Answer The interview process includes a screening, a technical interview focused on data concepts, and a behavioral interview. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer You will primarily work with Python, R, SQL, and data visualization tools like Tableau or Power BI. ? What is the salary and compensation for this role? Salary Tap to expand + Answer The salary ranges from ₹3.5 to ₹5.5 LPA, with opportunities for performance bonuses and salary growth. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer The role is primarily onsite in Gurugram, with potential for hybrid work arrangements based on company policy. ? What is the career growth path after joining Incedo as a Data Science Trainee? Growth Tap to expand + Answer Expect structured growth within 6-12 months, with opportunities for promotions and role expansions in 2-3 years. ? How should I prepare for the Data Science Trainee interview at Incedo? Preparation Tap to expand + Answer Focus on brushing up on data science fundamentals, coding skills, and preparing to discuss your projects. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply via the provided link, ensuring your resume highlights relevant skills and experiences. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Yes, there is typically a 3-6 month probation period where performance will be evaluated regularly. ? What is the work culture like at Incedo? Culture Tap to expand + Answer The culture emphasizes collaboration, continuous learning, and a commitment to diversity and inclusion. 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