Principal Data Scientist
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
JOB DETAILS
JOB BAND: D
CONTRACT TYPE: Permanent Full-time
DEPARTMENT: BBC Product Group Account & Identity
LOCATION: London / Cardiff / Newcastle / Salford / Glasgow Hybrid working with 1 day a week expected in office base location.
PROPOSED SALARY RANGE: 73000 - 83000 depending on relevant skills knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights.
Were happy to discuss flexible working. If youd like to please indicate your preference in the application though theres no obligation to do so now. Flexible working will be part of the discussion at offer stage.
PURPOSE OF THE ROLE
The BBC has been serving audiences online for decades across key products such as BBC iPlayer. As we evolve to deliver more personalised content and experiences Data Science is at the heart of that transformation.
As a team we use ML / AI to enrich our content and power personalised experiences for millions of audience members. Were looking for a Principal Data Scientist to join the Product Group.
WHY JOIN THE TEAM
As Principal Data Scientist youll play a hands-on role in building machine learning products at BBC scale. Working as part of a highly cross-functional team youll help overcome the challenges of deploying ML in production.
Youll have the opportunity to get involved with the wider data science community both at the BBC and externally. We hope youll be enthusiastic about sharing your knowledge and growing others.
YOUR KEY RESPONSIBILITIES AND IMPACT
- Youll use your technical skills to deliver value to BBC audiences blending a breadth and depth of data science expertise.
- Youll have impact within your immediate team and beyond across the wider BBC instrumental in developing scalable ML products.
- Youll bring experience of being an effective contributor in a cross-functional team working with others to overcome the challenges of delivering ML in production.
- Youll be responsible for using your knowledge of different machine learning algorithms to solve complex problems effectively.
- Youll join the wider BBC Data Science community with internal and external opportunities to get involved and share your knowledge.
YOUR SKILLS AND EXPERIENCE
ESSENTIAL CRITERIA:
- A strong understanding of data science and machine learning techniques including recent advances and their applications for implementation in a production environment.
- Good general programming skills particularly in python including knowledge of code management and deployment.
- The ability to contribute effectively in a cross-functional team including the ability to prioritise and work in a structured manner.
- The ability to communicate to both technical and non-technical audiences.
DESIRED BUT NOT REQUIRED:
- A strong understanding and significant experience of development and productionisation of data science products including use of NLP techniques.
- Experience developing ML/AI solutions within a cloud computing platform - we use AWS.
- A strong understanding of Generative AI techniques notably LLMs including recent advances and their applications for responsible implementation in a production environment.
- Experience of supporting other Data Scientist/s with their technical work to deliver value in production.
- Experience with model lifecycle management and MLOps.
If you can bring some of these skills and experience along with transferable strengths wed love to hear from you and encourage you to apply.
Before your start date you may need to disclose any unspent convictions or police charges in line with our Contracts of Employment policy. This allows us to discuss any support you may need and assess any risks. Failure to disclose may result in the withdrawal of your offer.
Required Experience:
Staff IC
Key Skills
- Machine Learning
- Python
- Data Science
- AI
- R
- Research Experience
- Sensors
- Drug Discovery
- Research & Development
- Natural Language Processing
- Data Analysis Skills
- Toxicology Experience
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