Job Description

About Sutherland

Artificial Intelligence. Automation. Cloud engineering. Advanced analytics. For business leaders, these are key factors of success. For us, they’re our core expertise. We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence.

We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model.

For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA. We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships.

Sutherland
Unlocking digital performance. Delivering measurable results.

As a Senior Data Scientist, your primary responsibilities include:

• Lead end-to-end data science initiatives, including data exploration, model development, validation, implementation, and support for mission-critical applications.
• Collaborate closely with cross-functional data teams to automate data science pipelines and integrate models into business workflows and digital platforms.
• Partner with business units in a consultative and collaborative manner, advising on the most effective approaches to leverage data science and Generative AI technologies to deliver innovative, high-impact solutions.

Key Elements

We are looking for the following minimum qualifications for this role:

• Master’s with a minimum of 5 years’ experience or Bachelor’s with a minimum of 7 years’ experience in Data science, Computer science, Statistics, Operations research, applied mathematics, applied physics or any related field;
• Excellent analytical and problem-solving skills with the ability to approach challenges creatively
• Strong communication skills to translate the findings into actionable business recommendations through rich data visualization;
• Familiar with Agile methodologies and tools;
• Self-driven and capable of working both independently and collaboratively within a team setting.
• Experience in or strong understanding of the life science industry, particularly in leveraging data science to support operational excellence, is preferred.

Qualifications

Technical Expertise required:

• Minimum of 5 years’ hands-on experience processing, analyzing and modeling large and complex data sets.
• Minimum of 3 years’ experience with the full Machine Learning product lifecycle, with a demonstrated ability to take initiative and ensure proactive delivery of project milestones.
• Minimum of 5 years’ experience working with development toolsets such as SQL, PySpark, Python, Pandas or Scala.
• Experience with Generative AI technologies for scientific document reading, summarization, and generation, including prompt engineering, retrieval pipelines, and LLM fine-tuning for domain-specific applications.