Responsibilities:

‍

Perform data analysis, exploration, and preparation to support business use cases.
Design and develop data pipelines in Python/Databricks and work with cloud data platforms.
Apply Generative AI techniques to build prototypes, create insights, and enhance solutions.
Collaborate with cross-functional teams to understand requirements and translate them into data-driven/AI-driven outcomes.
Conduct unit testing, validation, and data quality checks for datasets, pipelines, and AI outputs.
Design and develop RESTful APIs to enable communication between different software components.
Follow agile and DevOps practices for continuous development, testing, and deployment.
Contribute to data governance, documentation, and best practices for sustainable data and AI solutions.

‍

Requirements:

Strong proficiency in Python, with focus on both data engineering (pandas, PySpark, Databricks) and AI (transformers, LLM frameworks).
Good understanding of SQL and ability to work with relational and non-relational data.
Familiarity with cloud platforms (AWS, Azure, or GCP) and data lake/warehouse concepts.
Exposure to Generative AI tools and frameworks (e.g.LangGraph, LangChain, OpenAI APIs).
Awareness of prompt engineering, fine-tuning, embeddings, and LLM evaluation.
Familiarity with BI/visualization tools (Power BI, Tableau, or similar).
Understanding of modern practices like DataOps, MLOps, and AI/GenAI Ops.
Strong analytical and problem-solving skills with ability to handle ambiguity.
Excellent written, verbal, and interpersonal communication skills.
Ability to work effectively with global teams across multiple regions and time zones.
Curiosity to learn and apply emerging data engineering and Generative AI technologies.

‍

About the company

Thermo Fisher Scientific

Company overview

Thermo Fisher Scientific is a global life sciences company that sells lab instruments, consumables, diagnostics, and research services, and also runs major contract development and manufacturing and clinical research services through related business lines. Thermo Fisher Scientific supports customers ranging from universities and biotech startups to large pharmaceutical manufacturers and hospitals. The company operates across research, manufacturing, supply chain, field service, and corporate functions at a very large scale. Thermo Fisher Scientific is a public company headquartered in Waltham, Massachusetts.

Locations and presence

Thermo Fisher Scientific has a worldwide footprint with major US hubs and a large network of manufacturing and operational sites across Europe and Asia-Pacific. Work setup varies heavily by role, with a mix of on-site manufacturing roles, hybrid corporate roles, and some remote roles depending on function and country.

Palpable Score

78.5

/ 100

Thermo Fisher Scientific offers many early-career entry points, including internships, co-ops, and rotational development programs across multiple functions and geographies. Learning support is a clear strength thanks to structured rotations, formal mentorship references, and internal learning platforms, while hiring consistency and feedback expectations are less uniform across such a large organisation. Pay transparency and outcomes are solid in many markets, but not consistently easy to compare across all teams and countries.

view full company profile >