📋 Job Details at a Glance 📍 Location Hyderabad, Telangana, India 🏢 Company Novartis 👥 Experience 2-4 years 🎓 Qualification Master’s/PhD in a quantitative or engineering discipline 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹14–₹22 LPA 🏢 Industry Technology 🛠 Key Skills Python machine learning statistics data visualization PBM DEM gPROMS engineering data analysis Specialist – Data Science & AI at Novartis — Full Details & How to Apply Novartis is seeking a Specialist – Data Science & AI to join their Hyderabad office, offering a competitive salary of ₹14–₹22 LPA . This role is pivotal in driving innovative data solutions in the healthcare sector. The demand for data science in healthcare is surging, with the Specialist – Data Science & AI role at Novartis playing a crucial part in integrating AI into drug development and patient care. As the industry evolves, professionals equipped with skills in machine learning and data visualization are increasingly sought after, making this position highly relevant. Novartis is a leading employer in the pharmaceutical sector, employing over 100,000 people globally and recognized for its focus on research and development. The company’s emphasis on innovative solutions in healthcare, particularly through advanced tools like gPROMS and PBM, enhances the value of the Specialist – Data Science & AI role. This opportunity is ideal for 2023, 2024, 2025, 2026 graduates with a Master’s/PhD in a quantitative or engineering discipline and 2-4 years experience . The competitive salary of ₹14–₹22 LPA makes this position attractive for fresh talent looking to make their mark in a global healthcare company. In this role, you will work with essential skills such as Python , machine learning , statistics , and data visualization . This position not only opens doors to advanced engineering data analysis but also provides a solid foundation for career progression in the rapidly growing field of healthcare technology. 📊 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 core mission of the Specialist – Data Science & AI at Novartis is to leverage advanced analytics and machine learning to enhance drug development processes and patient outcomes. Develop predictive models using Python to analyze complex datasets, significantly improving decision-making in drug development. Utilize machine learning algorithms to optimize patient benefit management (PBM) processes, enhancing operational efficiency. Collaborate with cross-functional teams, including R&D and marketing, to align data strategies with business objectives, ensuring cohesive project execution. Analyze performance metrics to assess the effectiveness of data-driven initiatives, ensuring alignment with Novartis goals. Take ownership of data visualization projects, using tools like Tableau to present findings to stakeholders and drive actionable insights. Document methodologies and results for internal reporting, ensuring compliance with industry standards and best practices. Engage with clients to solve data-related challenges, providing tailored solutions that meet their specific needs. This role fosters an ownership culture, allowing you to directly impact patient outcomes and drive innovation within Novartis . Required Skills & Technical Competencies The ideal candidate will possess a robust skill profile in data science and analytics, essential for driving impactful solutions in healthcare. Technical Skills Python — advanced — essential for data manipulation and analysis, utilizing libraries like Pandas and NumPy to derive insights. Machine Learning — advanced — applied to develop algorithms that enhance predictive accuracy in healthcare applications. Statistics — intermediate — utilized daily to interpret data trends and validate model outcomes, ensuring robust analysis. Data Visualization — intermediate — proficiency in tools like Tableau or Matplotlib to effectively communicate insights to stakeholders. Engineering Data Analysis — intermediate — familiarity with gPROMS for modeling and simulation in engineering contexts. When showcasing these technical skills in your resume or interview, emphasize specific projects or outcomes 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 Master’s or PhD in a quantitative or engineering discipline. Eligible batches include 2023 to 2026 , allowing fresh graduates to apply their recent academic knowledge. Experience of 2-4 years is preferred, but fresh PhD graduates can also be considered for their advanced analytical skills. A minimum CGPA of 7.5 or equivalent percentage is expected to ensure a strong academic foundation. Having a portfolio or GitHub showcasing relevant projects can significantly enhance candidacy for this role. Documentation & Portfolio Requirements Ensure your resume is formatted clearly, highlighting your educational background, relevant experience, and technical skills. Include links to your portfolio or GitHub for project showcases. Pro tip: Tailor your application to highlight specific projects that demonstrate your expertise in Python and machine learning relevant to healthcare. Salary for Specialist – Data Science & AI at Novartis 💰 Compensation ₹14–₹22 LPA The advertised compensation for the Specialist – Data Science & AI role at Novartis is ₹14–₹22 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 Specialist – Data Science & AI Upskilling with the right resources significantly enhances your chances of selection for this specific role. Recommended Courses & Resources Python — Essential for data manipulation and analysis in data science. machine learning — Critical for developing predictive models and algorithms. statistics — Fundamental for data analysis and interpretation of results. data visualization — Important for presenting data insights effectively. KodNest — Provides hands-on experience in coding and data 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 — Highlight relevant skills and experiences specific to data science roles. ❌ Neglecting practical applications — Showcase projects or internships in data analysis. ❌ Overloading with generic phrases — Use specific metrics or outcomes from past experiences. ❌ Ignoring the cover letter — Connect your background to Novartis ' mission. ❌ Submitting without proofreading — Errors can undermine professionalism. ❌ Not preparing for technical interviews — Practice relevant data science problems and case studies. Before You Apply — Checklist ✅ Research Novartis and its recent projects in data science to tailor your application. ✅ Update your resume to reflect relevant skills and experiences aligned with the job description. ✅ Prepare a cover letter that connects your academic background to Novartis ' objectives. ✅ Gather any supporting documents, such as transcripts or portfolios, to include with your application. ✅ Ensure your LinkedIn profile is updated and reflects your skills and experiences. ✅ Practice common data science interview questions and case studies to prepare for the interview process. ✅ Set reminders for application deadlines and follow up if necessary. ✅ Review the application portal for any specific instructions or requirements before submission. Resume Tailoring & ATS Keywords for Specialist – Data Science & AI Optimizing your resume for ATS is crucial to ensure visibility for this role. ATS Keywords to Include Data Science AI Python Machine Learning Statistics Data Visualization PBM DEM gPROMS Engineering Data Analysis Quantitative Analysis Predictive Modeling Resume Tips for This Role Highlight your technical skills in Python and machine learning , focusing on relevant projects or coursework. Emphasize any internships or practical experience in data analysis or engineering to align with Novartis ' needs. Include a project portfolio that demonstrates your ability to solve real-world problems using data science techniques. Optimize your resume for ATS by using keywords from the job description to ensure visibility during screening. Avoid including unrelated work experience that does not showcase your analytical or technical capabilities. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Do not include unrelated work experience that does not demonstrate your analytical or technical skills for this role. How to Apply for Specialist – Data Science & AI at Novartis Apply Now — Novartis Visit the Novartis careers page and locate the Specialist – Data Science & AI job listing. Prepare your resume, ensuring it highlights relevant skills and experiences tailored to the role. Fill out the application form accurately, paying attention to required fields and details. After submission, you can expect a confirmation email regarding your application status. Track your application through the Novartis portal to stay updated on the process. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Novartis NexisGrow.com does not charge any fees for job applications. Novartis Novartis was formed from the merger of Ciba-Geigy and Sandoz in 1996 , establishing its headquarters in Basel, Switzerland . With a significant presence in over 140 countries , the company employs approximately 108,000 people globally, showcasing its extensive reach and operational scale in the pharmaceutical industry. Known for its innovative medicines, Novartis focuses on core therapeutic areas such as oncology, immunology, and neuroscience. The company’s flagship products include Kymriah for CAR T-cell therapy and Entresto for heart failure, reflecting its commitment to research-driven solutions that address critical health challenges. Novartis has been recognized for its inclusive culture, earning a 4.2 rating on Glassdoor and accolades such as the 2021 Best Place to Work award. The company actively promotes employee satisfaction through programs like the Novartis Leadership Development Program , which fosters growth and diversity within its workforce. Recently, Novartis announced a strategic partnership with Microsoft to enhance its AI capabilities, demonstrating its commitment to technological advancement. This initiative aims to leverage data analytics and machine learning to improve patient outcomes and streamline research processes. Joining Novartis as a fresher in Technology offers unparalleled access to mentorship and career development opportunities. The company’s focus on innovation and research provides a robust platform for aspiring professionals to build their careers in fields like data science and AI, ensuring a strong foundation for future growth. Company Details Industry Technology Location Hyderabad, Telangana, India Connect With Us Careers Apply Now Website 🔗 novartis.wd3.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Specialist – Data Science & AI at Novartis? Eligibility Tap to expand + Answer Candidates with Master’s/PhD in a quantitative or engineering discipline and 2-4 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, machine learning, statistics, data visualization, PBM. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹14–₹22 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Novartis? 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, machine learning, statistics, data visualization, PBM. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Specialist – Data Science & AI interview? Preparation Tap to expand + Answer (1) Core concepts of Python, machine learning, statistics, data visualization, PBM, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Novartis research, (5) Clear communication. ? What is the work culture like at Novartis? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. 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