Associate – Data Science and AI | 0-3 yrs | Pfizer

Pfizer Recruitment | Associate – Data Science and AI | 0-3 yrs | Mumbai

accenture recruitment

Pfizer Inc. seeks an Associate in Data Science and AI. Join a dynamic team at the forefront of innovation in healthcare. Utilize cutting-edge technology to drive impactful solutions. Contribute your expertise to enhance drug discovery processes and improve patient outcomes. Collaborate with top professionals in a supportive and growth-oriented environment. Elevate your career with Pfizer today. Apply now!

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Associate – Data Science and AI (0-3 years)

Pfizer inc. is hiring for the post of  Associate – Data Science and AI with 0-3 years of experience in relevant field. Interested and eligible candidates can read more details below.

Company Name : Pfizer Inc.
Job Location : Mumbai, MH, India
Job Title : Associate – Data Science and AI
Education : Bachelor’s degree
Experience : 0-3  years
Job Number : 4918301

Accenture Recruitment 2024
Role Summary :

The Data Science & AI team with Commercial Analytics & AI (CAAI) organization is committed to transforming data into actionable intelligence, empowering Pfizer to stay competitive and innovative in today’s data-driven landscape. We play a pivotal role in extracting insights from large and complex datasets to drive strategic decision-making. Collaborating closely with various subject matter experts across various fields, our team leverages advanced statistical analysis, machine learning techniques, and data visualization tools to uncover patterns, trends, and correlations within the data. Additionally, we are dedicated to delivering new, innovative capabilities by deploying cutting-edge machine learning algorithms and artificial intelligence techniques to solve complex problems and create value.

We are looking for an Associate, Data Scienceand AI who will be responsible for delivering data-derived insights and/or AI-powered analytics tools to Pfizer’s Commercial organization and will support a brand or therapeutic area. This includes leading the execution and interpretation of AI/ML models, framing problems, and shaping solutions with clear and compelling communication of data-driven insights.

This role is dynamic, fast-paced, highly collaborative, and covers a broad range of strategic topics that are critical to our business. The successful candidate will join CAAI colleagues worldwide that are constantly supporting business transformation through their proactive thought leadership, innovative analytical capabilities, and their ability to communicate highly complex and dynamic information in new and creative ways.

Responsibilities :

Product / Brand and Therapeutic Area (TA) Insights –
♦ Deliver advanced analytical models, predictive algorithms, and AI-powered tools to extract actionable insights to drive US Commercial strategies and tactics.
♦ Support the end-to-end delivery of data science insights, from framing the business question, designing the solution, and delivering recommendations.
♦ Break down technical concepts into digestible insights and guide diverse stakeholders how to interpret.
♦ Build strong relationships with key stakeholders, effectively communicating the value proposition of data science
Cross-Functionally as a Brand/ TA Focused Analytics POD –
♦ Collaborate within the analytics POD, coordinating efforts with the Insight Strategy & Execution and Market Research Insights counterparts to develop and execute a comprehensive brand analytics plan.
♦ Deliver consolidated insights and actionable recommendations to US Commercial teams, ensuring alignment with strategic objectives and insights findings.
♦ Represent data science function and capabilities in Analytic POD meetings.
♦ Work closely with cross-functional teams to ensure seamless integration of brand analytics insights into decision-making processes and strategic initiatives.
Cross-Functional Collaboration –
♦ Deliver consolidated insights and actionable recommendations to US Commercial teams, ensuring alignment with strategic objectives and insights findings.
♦ Represent data science function and capabilities in Analytic POD meetings.
♦ Work closely with cross-functional teams to ensure seamless integration of brand analytics insights into decision-making processes and strategic initiatives.

Qualification & Experience :

♦ Bachelor’s degree with 0-3 years of experience, preferably in Engineering, Economics, Statistics, Computer science, Mathematics, Physics or related quantitative field.
♦ Advanced degree preferred with 0-2 years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.
♦ Experience using Data Science techniques & Machine Learning models to solve problems in an education or business environment setting.
♦ Experience working with the databases SQL and NoSQL and understanding of large-scale distributed systems such as Spark, Hadoop and Snowflake or Databricks.
♦ Proficient in programming languages such as Python, R & a strong exposure in machine learning anddata visualization tools (including Dash, Plotly, Tableau etc).
♦ Solid understanding of statistical analysis & hypothesis testing.
♦ Experience with data manipulation libraries (e.g., Pandas, Numpy) and machine learning frameworks (e.g., scikit-learn, Tensorflow or Pytorch)
♦ Experience in understanding brand content, strategy, and tactics
♦ Ability to effectively utilize dashboards and data products to derive insights.
♦ Experience with supporting commercial strategies and tactics, experience in pharmaceutical or healthcare industry is preferred.
♦ Experience in management of secondary data with application of real-world data.
♦ Ability to partner with cross-functional teams (Commercial, Medical, Operations) to execute brand tactics.
♦ Able to connect, integrate and synthesize analysis and data into a meaningful ‘so what’ to drive concrete strategic recommendations for brand tactics.
♦ Capable of describing relevant caveats in data or in a model and how they relate to business question.
♦ Ability to be flexible, prioritize multiple demands and deal with ambiguity.

‹‹‹ more details ››› 


How to Apply :

All interested and eligible candidates can apply in online mode for Associate – Data Science and AI  position.

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Salary : Upto ₹ 07.00 /- LPA

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About Pfizer

Pfizer, a pharmaceutical giant, leads in developing vaccines and medications. Founded in 1849, company’s groundbreaking research has produced life-saving drugs like Viagra and Lipitor. With a focus on innovation and healthcare advancements, Pfizer continues to make significant contributions to global health. Its commitment to quality and safety has earned it a reputation as a trusted leader in the medical industry.

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