📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company Cognite 👥 Experience 2+ years 🎓 Qualification Bachelor’s, master’s or PhD in Computer Science, Data Science, Engineering or a related technical discipline. 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹15–₹24 LPA (estimated) 🏢 Industry Technology 🛠 Key Skills Python SQL data engineering data science data modelling REST APIs DataOps cloud-based data platforms Microsoft Azure Azure Active Directory Academy Engineer – Data Scientist at Cognite — Full Details & How to Apply Cognite is seeking an Academy Engineer – Data Scientist in Bengaluru, Karnataka, India to develop cutting-edge technical courses. This role offers a unique chance to influence training for customers and partners in the tech industry. The demand for skilled data scientists is surging in India, making the Academy Engineer – Data Scientist role crucial for Cognite 's growth. As companies increasingly invest in training and development, this position directly impacts how effectively Cognite can deliver training solutions, enhancing customer satisfaction and product adoption. Cognite , founded in 2016 , has rapidly expanded to over 300 employees globally, specializing in data operations and insights for industrial companies. This growth reflects the company's commitment to innovation, making it an attractive employer for aspiring data scientists. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor’s, master’s or PhD in Computer Science, Data Science, Engineering or a related technical discipline to apply. Candidates should have 2+ years experience in relevant fields, with a competitive salary range of ₹15–₹24 LPA (estimated) . In this role, you will gain hands-on experience with essential skills such as Python , SQL , data engineering , data science , data modelling , REST APIs , DataOps , and cloud-based data platforms like Microsoft Azure . This unique exposure will set you apart from competitors and open doors to advanced career opportunities in the tech industry. 📊 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 Academy Engineer – Data Scientist at Cognite is responsible for developing comprehensive technical courses that leverage Cognite Data Fusion to enhance the learning experience for trainees. Develop engaging technical courses using Cognite Data Fusion , ensuring alignment with the latest product features and industry standards. Utilize Python for data modeling and analysis, creating practical labs that enhance learning outcomes for trainees. Collaborate with product teams and customer success to identify technical learning gaps and tailor training content accordingly. Measure training effectiveness through assessments and feedback, aiming for a minimum 90% satisfaction rate among participants. Take ownership of course content updates, ensuring relevance and accuracy as Cognite products evolve. Document training materials and processes using Articulate Rise , facilitating easy access for future instructors. Engage with clients to address specific training needs, enhancing their understanding of Cognite's data solutions. This role fosters an ownership culture, allowing you to make a direct impact on the training experience and the success of Cognite's clients. Required Skills & Technical Competencies The ideal candidate will possess a robust skill profile, emphasizing technical competencies essential for developing effective training programs. Technical Skills Python — advanced — utilized for data analysis and course development, requiring proficiency in libraries such as Pandas and NumPy . SQL — intermediate — used for data extraction and manipulation, critical for creating real-world data scenarios in training. Data Engineering — intermediate — foundational for understanding data workflows, enabling effective course design that mirrors industry practices. REST APIs — intermediate — knowledge is necessary for integrating external data sources into training modules. DataOps — intermediate — familiarity is crucial for streamlining data processes and ensuring efficient course delivery. Cloud-based Data Platforms — intermediate — experience with platforms like Microsoft Azure enhances course relevance and delivery. Azure Active Directory — intermediate — understanding is essential for managing user access and permissions in training 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 and relevant experience in data science or engineering. Candidates must hold a Bachelor’s , Master’s , or PhD in Computer Science , Data Science , Engineering , or related fields. Eligible batches include 2023 to 2026 , allowing recent graduates to apply and start their careers in data science. A minimum of 2 years of experience is required, but freshers with relevant internships or projects may be considered favorably. Academic performance should ideally be above 60% or equivalent CGPA, reflecting a solid grasp of technical concepts. Experience with projects or internships related to data science or engineering will enhance candidacy for this role. Documentation & Portfolio Requirements Submit your resume in PDF format, including your educational background, relevant projects, and any internships related to data science or engineering . Pro tip: Highlight specific projects where you utilized Python or SQL to solve real-world problems in your application. Salary for Academy Engineer – Data Scientist at Cognite 💰 Compensation ₹15–₹24 LPA (estimated) The advertised compensation for the Academy Engineer – Data Scientist role at Cognite is ₹15–₹24 LPA (estimated) . 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 Academy Engineer – Data Scientist Upskilling with the right resources significantly enhances your chances of selection for this specific role by aligning your skills with the job requirements. Recommended Courses & Resources Python — Essential for data manipulation and analysis in data science projects. SQL — Crucial for database management and querying data effectively. data science — Comprehensive understanding of data science principles and methodologies. REST APIs — Important for integrating and accessing data from various services. KodNest — Provides hands-on experience with real-world data science applications. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor the resume — Ensure alignment with the job description. ❌ Neglecting to showcase practical experience — Include specific projects or internships. ❌ Overloading the resume with generic skills — Focus on technical competencies directly applicable to the role. ❌ Ignoring the importance of a clear structure — Ensure readability and professionalism. ❌ Submitting a resume without proofreading — Typos can create a negative impression on potential employers. ❌ Not preparing for technical interviews — Practice coding problems and data science concepts relevant to the role. Before You Apply — Checklist ✅ Research Cognite 's products and culture to tailor your application effectively. ✅ Update your resume to reflect relevant skills and experiences for the Academy Engineer role. ✅ Prepare a portfolio showcasing your data science projects and technical skills. ✅ Gather references or recommendations from previous internships or academic projects. ✅ Ensure your LinkedIn profile is up-to-date and aligns with your application. ✅ Practice common data science interview questions and coding challenges. ✅ Review the application process on the Cognite portal for any specific requirements. ✅ Set reminders for application deadlines to ensure timely submission. Resume Tailoring & ATS Keywords for Academy Engineer – Data Scientist Optimizing your resume for ATS is crucial for ensuring it passes initial screenings and reaches hiring managers. ATS Keywords to Include Data Scientist Python SQL Data Engineering Data Modeling REST APIs DataOps Microsoft Azure Azure Active Directory Cognite Data Fusion Technical Training Cloud-based Platforms Resume Tips for This Role Highlight relevant coursework or projects in data science to demonstrate technical knowledge. Emphasize any experience with Cognite Data Fusion or similar platforms to align with company needs. Include links to your GitHub or portfolio showcasing data science projects to provide tangible evidence of your skills. Optimize your resume for ATS by using keywords from the job description, ensuring it passes initial screenings. Avoid including unrelated work experience that does not showcase your technical skills or relevance to the role. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including generic objectives or unrelated experiences that do not pertain to the data science field. How to Apply for Academy Engineer – Data Scientist at Cognite Apply Now — Cognite Visit the Cognite job portal and locate the Academy Engineer – Data Scientist position. Upload your resume, ensuring it highlights relevant skills and experiences. Fill out the application form carefully, providing accurate information. After submission, expect a confirmation email regarding your application status. Track your application through the Cognite portal for updates on the hiring process. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Cognite NexisGrow.com does not charge any fees for job applications. Cognite Cognite was founded in 2015 in Oslo, Norway , and has since expanded its headquarters to Bengaluru, Karnataka, India . With a global footprint across multiple countries, Cognite employs over 400 professionals dedicated to transforming industrial data management. The company’s rapid growth reflects its commitment to the tech ecosystem in India and beyond. The core offering of Cognite is its Cognite Data Fusion platform, which integrates and analyzes industrial data to enhance operational efficiency. This platform leverages advanced technologies such as REST APIs and DataOps methodologies, enabling organizations to harness their data effectively. Additionally, Cognite provides solutions that support cloud-based data platforms and Microsoft Azure integration. Cognite has received positive recognition for its workplace culture, boasting a 4.5-star rating on Glassdoor . The company emphasizes employee development through various programs, including mentorship initiatives and continuous learning opportunities. This commitment to fostering a collaborative environment has earned Cognite accolades for being a top employer in the tech industry. Recently, Cognite secured $80 million in funding to enhance its data platform capabilities, signaling strong market confidence and growth potential. This investment will support the expansion of its services and the development of innovative solutions tailored for industrial applications. Such initiatives position Cognite as a leader in the technology sector. For freshers in technology, Cognite offers a robust foundation in data science, with opportunities for hands-on experience in cutting-edge projects. The company’s focus on mentorship and professional development ensures that new employees can grow their skills in a supportive environment. Joining Cognite provides a unique chance to work with advanced technologies and contribute to meaningful projects. Company Details Industry Technology Location Bengaluru, Karnataka, India Connect With Us Careers Apply Now Website 🔗 job-boards.eu.greenhouse.io Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Academy Engineer – Data Scientist at Cognite? Eligibility Tap to expand + Answer Candidates with Bachelor’s, master’s or PhD in Computer Science, Data Science, Engineering or a related technical 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, SQL, data engineering, data science, data modelling. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹15–₹24 LPA (estimated). Final offer depends on skills, experience, and interview performance. ? What is the interview process at Cognite? 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, data engineering, data science, data modelling. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Academy Engineer – Data Scientist interview? Preparation Tap to expand + Answer (1) Core concepts of Python, SQL, data engineering, data science, data modelling, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Cognite research, (5) Clear communication. ? What is the work culture like at Cognite? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. 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