Thermo Fisher Scientific
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Mumbai · On-site · 5-8 Yrs · Oct 30
Biotech & Pharmaceuticals · 10000+ Employees · Waltham, US
As the world leader in serving science, we empower our people to advance innovative technologies, develop meaningful solutions, and build rewarding careers. With annual revenue of approximately $40 billion and the largest investment in R&D in the industry, we give our 100,000 extraordinary minds the resources and opportunities to make significant contributions to the world. Explore the professional possibilities at Thermo Fisher Scientific, and join us.
Hiring: Engineering, Customer support and operations, Marketing
What employees say
+ Great technology stack and learning opportunities. Good exposure to modern automation tools and frameworks.
− I have experienced a significant amount of workplace politics during my 8 months here. At times, I have felt a lack of inclusiveness and found it challenging to feel like a local t
More reviews on the company profile.
Interview experience · Software Automation Tester
Before interview just go through the online questions. Interviewer read out the questions from another screen ask the same. But it's a good one to know some of the topics which which not required in your daily automation
Average difficulty · Bengaluru · 157 reports
More interview insightsJob description
Overview
Work Schedule Standard (Mon-Fri)
Qualifications
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics or a related quantitative field; advanced degree is beneficial.
- Typically 5-7+ years of progressive experience in data science, machine learning, AI or advanced analytics.
- Deep hands-on expertise in Python, SQL, statistical modeling, machine learning, solution architecture and cloud platforms.
- Demonstrated experience delivering production-grade data science or AI solutions with measurable business impact.
- Strong understanding of modern AI approaches including GenAI/LLMs, RAG, AI agents, graph technologies and evolving AI ecosystems.
- Proven ability to influence senior stakeholders and translate business strategy into technical solutions.
- Strong commercial/business acumen and ability to prioritize based on value rather than technical novelty.
- Demonstrated technical leadership, mentoring and cross-functional influence.
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Job application FAQ
Last updated 4 November 2026
- How do I apply for Senior Data Scientist – AI/ML at Thermo Fisher Scientific?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Thermo Fisher Scientific may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Senior Data Scientist – AI/ML role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior Data Scientist – AI/ML remote or on-site in Mumbai, Maharashtra?
- This listing is marked on_site with location Mumbai, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Senior Data Scientist – AI/ML role at Thermo Fisher Scientific?
- This is a senior Senior Data Scientist – AI/ML role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.