L4-Data Science-CRL

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.

Job Description

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;