📋 Job Details at a Glance 📍 Location Mumbai, Maharashtra, India 🏢 Company Pfizer 👥 Experience 0-2 years 🎓 Qualification Master's / PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, or Related Quantitative Field 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹12–20 LPA* 🏢 Industry Technology 🛠 Key Skills Machine Learning Statistical Analysis Data Visualization Predictive Modeling Natural Language Processing Associate, Data Science & AI at Pfizer — Full Details & How to Apply Pfizer is seeking an Associate, Data Science & AI in Mumbai, Maharashtra, India , where you can contribute to groundbreaking healthcare solutions. With a salary range of ₹12–20 LPA , this role offers a robust start to your career in data science. The demand for data science professionals in healthcare is surging, particularly for roles focused on AI-driven solutions. This Associate, Data Science & AI position at Pfizer is crucial for the company's innovation strategy, leveraging data to enhance drug development and improve patient outcomes. Pfizer , founded in 1849 , is a global leader in pharmaceuticals with over 78,500 employees worldwide. Known for its commitment to research and development, Pfizer prioritizes innovation and employee growth, making it an ideal environment for aspiring data scientists. This role is perfect for 2022, 2023, 2024, 2025 graduates with a Master's / PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, or Related Quantitative Field and 0-2 years experience . The competitive salary of ₹12–20 LPA* reflects the value placed on fresh talent in this field. As an Associate, Data Science & AI , you will work with cutting-edge technologies like Machine Learning , Statistical Analysis , Data Visualization , Predictive Modeling , and Natural Language Processing . This role not only equips you with essential skills but also opens doors to advanced career opportunities within a leading global company. 📊 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 Associate, Data Science & AI role at Pfizer is to leverage data-driven insights to enhance patient outcomes and support strategic initiatives across the organization. Analyze complex datasets using Python and R to derive actionable insights that inform strategic decisions and improve healthcare delivery. Develop machine learning models with TensorFlow and Scikit-learn to predict patient outcomes, ensuring data-driven approaches are utilized effectively. Collaborate with cross-functional teams, including clinical research and marketing, to align data initiatives with business goals and enhance project outcomes. Monitor and report on key performance metrics to evaluate the effectiveness of data-driven strategies, utilizing tools like Tableau for visualization. Take ownership of specific projects, driving innovation and ensuring timely delivery of results that directly impact patient care. Document methodologies and findings clearly to facilitate knowledge sharing across teams, enhancing collaborative efforts in data science. Engage with stakeholders to identify data-related challenges and propose effective solutions, ensuring alignment with organizational objectives. Ownership of projects fosters a culture of innovation, allowing you to make a direct impact on patient outcomes and the overall success of Pfizer . Required Skills & Technical Competencies The skill profile for this role emphasizes a strong foundation in data science techniques and tools essential for driving impactful healthcare solutions. Technical Skills Machine Learning — entry — essential for developing predictive models that enhance patient care, requiring proficiency in algorithms and data manipulation. Statistical Analysis — entry — critical for interpreting data trends and ensuring the validity of research findings in a healthcare context. Data Visualization — entry — used daily to present complex data insights clearly to non-technical stakeholders, often utilizing tools like Tableau . Natural Language Processing — entry — applied in analyzing unstructured data from clinical trials and patient feedback to derive meaningful insights. Predictive Modeling — entry — evaluated through practical assessments during the interview process, focusing on real-world applications in healthcare. When showcasing these technical skills in your resume or interview, emphasize specific projects and tools used to demonstrate your practical experience and understanding. Eligibility Criteria This role is designed for recent graduates eager to apply their analytical skills in a leading healthcare technology environment. Candidates must hold a Master's or PhD in Data Science , Computer Science , Statistics , Mathematics , Engineering , or related fields. Eligible batches include 2022 , 2023 , 2024 , and 2025 , allowing fresh graduates to apply. The role is designed for freshers, focusing on developing skills rather than requiring extensive prior experience. A minimum academic performance of 60% is preferred to demonstrate strong foundational knowledge. Having a portfolio or GitHub showcasing relevant projects can provide a competitive edge in the application process. Documentation & Portfolio Requirements Ensure your resume is clear and concise, including relevant coursework, projects, and technical skills that align with the role. Pro tip: Highlight any hands-on experience with machine learning or data visualization tools in your portfolio to stand out in your application. Salary for Associate, Data Science & AI at Pfizer 💰 Compensation ₹12–20 LPA* The advertised compensation for the Associate, Data Science & AI role at Pfizer is ₹12–20 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 Associate, Data Science & AI Upskilling with the right resources significantly enhances your chances of selection for this role by equipping you with essential skills and knowledge. Recommended Courses & Resources Machine Learning — Mastering machine learning techniques is crucial for data-driven decision-making. Statistical Analysis — Understanding statistical methods is vital for interpreting data effectively. Data Visualization — Learning visualization tools helps in presenting data insights clearly. KodNest — This platform offers practical coding experience essential for data science roles. 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 specific skills mentioned in the job description. ❌ Neglecting relevant projects — Showcase internships or projects that demonstrate your data science capabilities. ❌ Using generic language — Quantifiable achievements strengthen your application. ❌ Overlooking format clarity — Ensure a clear and concise format for better readability. ❌ Not preparing for technical questions — Brush up on machine learning and statistical analysis topics. ❌ Ignoring application deadlines — Follow application instructions carefully to avoid disqualification. Before You Apply — Checklist ✅ Research Pfizer 's recent projects and initiatives in data science to tailor your application. ✅ Prepare a targeted resume that highlights your relevant skills and experiences. ✅ Gather transcripts and any necessary documentation to support your application. ✅ Review the job description thoroughly to understand the key responsibilities and required skills. ✅ Practice common interview questions related to data science and machine learning. ✅ Ensure your LinkedIn profile is updated and aligns with your resume. ✅ Submit your application through the provided URL, ensuring all fields are completed accurately. ✅ Follow up on your application status after a week to express continued interest. Resume Tailoring & ATS Keywords for Associate, Data Science & AI Optimizing your resume for ATS is crucial for ensuring your application gets noticed for this role. ATS Keywords to Include Data Science Machine Learning Statistical Analysis Predictive Modeling Natural Language Processing Data Visualization Python R TensorFlow Scikit-learn Healthcare Analytics Clinical Research Resume Tips for This Role Highlight relevant coursework or projects in data science to showcase your practical skills. Emphasize teamwork and collaboration experiences, particularly in cross-functional settings. Include links to your portfolio or GitHub to demonstrate hands-on experience with data analysis. Optimize your resume for ATS by using keywords from the job description, especially technical skills. Avoid including unrelated work experience that does not demonstrate your capabilities in data science. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including generic statements that do not add value to your application for this role. How to Apply for Associate, Data Science & AI at Pfizer Apply Now — Pfizer 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, paying attention to details. After submission, expect a confirmation email regarding your application status. Use the application tracking feature on the portal to monitor your application progress. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Pfizer NexisGrow.com does not charge any fees for job applications. Pfizer Pfizer , founded in 1849 in Brooklyn, New York , has expanded its operations to over 125 countries worldwide. With a workforce of approximately 78,500 employees , the company has established a significant global footprint, focusing on innovative medicines and vaccines that address critical health challenges. Among its core offerings, Pfizer is well-known for its pharmaceutical products, including Comirnaty and Prevnar , which have made substantial impacts in the fields of vaccines and infectious diseases. The company also specializes in oncology treatments and therapies for rare diseases, emphasizing a strong commitment to research and development. Pfizer has cultivated an inclusive culture, earning a 4.2 rating on Glassdoor for its workplace environment. The company actively promotes employee development through various programs, including mentorship initiatives and wellness resources, which contribute to a supportive atmosphere for its workforce. Recently, Pfizer has made significant strides in expanding its AI capabilities, investing heavily in data science to enhance drug discovery processes. This initiative includes partnerships with technology firms to leverage machine learning and predictive modeling, further advancing patient care solutions. For freshers in Technology, Pfizer offers a robust career launchpad, providing access to industry-leading projects and mentorship from seasoned professionals. The company's focus on innovation and employee growth ensures that new talent can thrive and develop their skills in a meaningful way. Company Details Industry Technology Location Mumbai, Maharashtra, India Connect With Us Careers Apply Now Website 🔗 pfizer.wd1.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Associate, Data Science & AI at Pfizer? Eligibility Tap to expand + Answer Candidates with Master's / PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, or Related Quantitative Field and 0-2 years experience are eligible. Eligible batches: 2022, 2023, 2024, 2025. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Machine Learning, Statistical Analysis, Data Visualization, Predictive Modeling, Natural Language Processing. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹12–20 LPA*. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Pfizer? 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: Machine Learning, Statistical Analysis, Data Visualization, Predictive Modeling, Natural Language Processing. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Associate, Data Science & AI interview? Preparation Tap to expand + Answer (1) Core concepts of Machine Learning, Statistical Analysis, Data Visualization, Predictive Modeling, Natural Language Processing, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Pfizer research, (5) Clear communication. ? What is the work culture like at Pfizer? 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 Mumbai Browse all Tech jobs More jobs at Pfizer Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. 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