Senior Data Scientist in hybrid, United Kingdom

Senior Data Scientist

Job Description:

We are seeking a highly motivated and analytical Senior Data Scientist to join our growing team. You will be joining a growing team which is engaged in a variety of exciting new projects which are crucial for the continued success of Sage.

As a Senior Data Scientist, you will have the opportunity to take a leading role in driving best practices, decision-making and mentorship within the team – engaging in both hands-on technical implementation of Machine Learning (and AI) models as well as working cross-functionally with a variety of different stakeholders.

The ideal candidate will have a strong foundation in Python programming and a passion for leveraging data to solve complex business challenges. In this role, you will work closely with other team members to analyze data, build and deploy models, and contribute to the development of data-driven solutions.

* This is a hybrid role – you will be working 3 days a week in our Newcastle office. *

Key Responsibilities:

What you will be doing:

• Analysing and interpreting large datasets using Python and other relevant tools.

• Developing and implementing machine learning models, including but not limited to:

Supervised learning (e.g., regression, classification)

Unsupervised learning (e.g., clustering, dimensionality reduction)

• Collaborating with cross-functional teams to define data requirements and translate business needs into analytical solutions.

• Communicating complex technical concepts effectively to both technical and non-technical audiences.

• Staying abreast of the latest advancements in data science and machine learning.

Requirements:

• Data fluency specifically relating to SQL.

• Experience working with Python.

• Cloud Computing exposure (AWS would be preferred.)

• Familiarity with Snowflake would be nice-to-have.

• Experience in stakeholder engagement in previous roles.

• Ability to teach and coach junior team members would be advantageous.

Function:

Service Fabric (Data and Developer Services)

Country:

United Kingdom

Office Location:

Newcastle

Work Place type:

Hybrid

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Working at Sage means you’re supporting millions of small and medium sized businesses globally with technology to work faster and smarter. We leverage the future of AI, meaning business owners spend less time doing routine tasks, like entering invoices and generating reports, and more time pursuing their ambitions.

Our colleagues are the best of the best. It’s why we were awarded 2024 Best Places to Work by Glassdoor. Because to achieve extraordinary outcomes, we need extraordinary teams. This means infusing Sage with people who knock down barriers, continuously innovate, and want to experience their potential.

Learn more about working at Sage:sage.com/en-gb/company/careers/working-at-sage/

Watch a video about our culture:youtube.com/watch?v=qIoiCpZH-QE

We celebrate individuality and welcome you to join us if you embrace all backgrounds, identities, beliefs, and ways of working. If you need support applying, reach out [email protected].

Learn more about DEI at Sage:sage.com/en-gb/company/careers/diversity-equity-and-inclusion/

Equal Employment Opportunity (EEO)

Sage is committed to Equal Employment Opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities.

In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Sage will be based on merit, qualifications, and abilities. Sage does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, protected disability, veteran status, sexual orientation, gender identity, genetic information, or any other characteristic protected by applicable law.