Senior Data Scientist

The Bbc; Salford; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading broadcasting organization is seeking a Senior Data Scientist to build machine learning products at scale. In this role, you'll work in a team to overcome challenges of deploying ML in production, while sharing knowledge within the wider data science community. Candidates should have expertise in data science techniques and programming skills in Python or R. The position offers fair pay, flexible benefits, and opportunities for career development.

Benefits

Competitive salary package

Flexible working hours

25 days annual leave plus options

Defined pension scheme

Discounted health care and gym

Qualifications

• Strong understanding of data science and machine learning techniques.
• Good general programming skills, particularly in Python or R.
• Good knowledge of code management and deployment best practices.
• Ability to contribute effectively in a cross-functional team.
• Ability to communicate to both technical and non-technical audiences.

Responsibilities

• Deliver value to BBC audiences using technical skills.
• Develop scalable ML products within the BBC team.
• Solve complex problems using different machine learning algorithms.
• Contribute to the wider BBC Data Science community.

Skills

Data science and machine learning techniques

Programming skills in Python or R

Code management and deployment

Effective cross-functional teamwork

Communication to technical and non-technical audiences

Job description

Overview

As Senior Data Scientist you'll play a hands-on role in building machine learning products at BBC scale. Working as part of a team, you'll help overcome the challenges of deploying ML in production. You'll have the opportunity to get involved with the wider data science community, both at the BBC and externally. We hope you'll be enthusiastic about sharing your knowledge and growing others.

Responsibilities and impact

• You'll use your technical skills to deliver value to BBC audiences, blending a breadth and depth of data science expertise.
• You'll have impact within your immediate team and beyond, across the wider BBC, instrumental in developing scalable ML products.
• You'll bring experience of being an effective contributor in a cross-functional team, working with others to overcome the challenges of delivering ML in production.
• You'll be responsible for using your knowledge of different machine learning algorithms to solve complex problems effectively.
• You'll join the wider BBC Data Science community, with internal and external opportunities to get involved and share your knowledge.

Qualifications

• A strong understanding of data science and machine learning techniques, including best practices, recent advances and their applications for implementation in a production environment.
• Good general programming skills, particularly in Python or R.
• Good knowledge of code management and deployment best practices.
• Good ability to contribute effectively in a cross-functional team, including the ability to prioritise and work in a structured manner.
• Good ability to communicate to both technical and non-technical audiences.

Desirable but not required

• A proven track record of delivering value in production.
• Knowledge of working with cloud services, and the main challenges involved.
• Understanding and experience of experimentation within data science, e.g. A/B testing.
• Experience with model lifecycle management and MLOps.
• Experience mentoring other team members.

Benefits

• Fair pay and flexible benefits including a competitive salary package, a flexible 35-hour working week, 25 days annual leave with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care and gym.
• Excellent career and professional development.
• Support in your working life, including flexible working which you can discuss with us at any point during the application, selection or offer.
• A values-based organisation where the way we do things is important as what we do.

Diversity, inclusion and accessibility

We welcome applications regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We are a disability confident employer. If you need to discuss adjustments or access requirements for the interview process, or to carry out this role, please contact us via email and we'd be happy to discuss.