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Manager Data Science
Abbott Laboratories · India - Mumbai · posted 15 days ago (2026-10-15)
Full-TimeIn-OfficeExperience 5+ yrsData & AI
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Job description
JOB DESCRIPTION:
Job Description:
Abbott Healthcare is looking for an experienced data scientist with proven track record of solutioning and delivering AI/ML solutions. The candidate should conduct and manage analysis and modelling as well as communicate results to the senior stakeholders.
• Lead the design and development of advanced analytical and AI/ML solutions, transforming large data into meaningful business insights, as independent contributor or with junior team members
• Collaborate with cross-functional teams to understand the business problems to frame the project outline; to leverage available data and systems to address the same
• Build and present strong narratives based on insights and impact to the senior stakeholders on regular basis
• Implement and maintain the effectiveness of the solution quality. Provide data and metrics compliant with the Business
• Mentor and guide junior data scientists, providing support in developing their technical skills and career growth
Skills:
• Strong analytical and data interpretation skills
• Experience building and deploying end-to-end AI/ML solutions on AWS or Azure platform
• Strong programming skills and expertise in using SQL and Python for Data Science
• Hands-on experience in implementation of various statistical and machine learning algorithms as per the project requirement
• Ability to thrive in a fast-paced environment driving multiple projects simultaneously
• Strong written and verbal communication skills
Qualifications:
Bachelor’s or Master’s degree in Computer Science or related field, with at least 6 years of demonstrated experience in developing and delivering AI/ML solutions
The base pay for this position is
N/A
In specific locations, the pay range may vary from the range posted.
JOB FAMILY:
Sales Support & Administration
DIVISION:
EPD Established Pharma
LOCATION:
India > Mumbai : BKC Building
ADDITIONAL LOCATIONS:
WORK SHIFT:
Standard
TRAVEL:
Not specified
MEDICAL SURVEILLANCE:
Not Applicable
SIGNIFICANT WORK ACTIVITIES:
Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)
Source: Workday (the employer's hiring page). CampusPe lists jobs from company career pages; apply directly with the employer.
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