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- Tasks: Join a team of data scientists to analyse satellite data and uncover impactful stories.
- Company: The BBC is a leading media organisation committed to diversity and employee development.
- Benefits: Enjoy a flexible 35-hour work week, 25 days annual leave, and excellent training opportunities.
- Why this job: Be part of a multidisciplinary team making a real impact in news coverage and storytelling.
- Qualifications: Experience in satellite data analysis, programming in R/Python, and strong communication skills required.
- Other info: Flexible working options available; the BBC values diversity and inclusion in its workforce.
The predicted salary is between 42000 - 70000 £ per year.
Join to apply for the Senior Data Scientist (Senior Software Engineer), BBC Verify role at BBC.
Package Description
- Job Reference: 20803
- Band: D
- Salary: Up to £70,000 plus London weighting depending on relevant skills, knowledge and experience.
- Contract type: Permanent
- Location: London - Hybrid
We’re happy to discuss flexible working. Please indicate your choice under the flexible working question in the application. There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage.
Excellent career progression – the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation.
Unrivalled training and development opportunities – our in-house Academy hosts a wide range of internal and external courses and certification.
Benefits - We offer a negotiable salary package, a flexible 35-hour working week for work-life balance and 25 days annual leave with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care and gym.
Job Introduction
BBC Verify brings together open-source intelligence (OSINT) specialists, disinformation reporters, fact checkers and data journalists to find impactful stories and to offer new lines and compelling coverage of the biggest issues across BBC News’s website, social media, television and radio. The successful candidate will work alongside three other data scientists, using their computing skills to multiply the story-finding and story-telling capacity of BBC Verify.
Main Responsibilities
This is a role for a data scientist, programmer, or a mix of both who specialises in ingesting, analysing and explaining satellite data and who can work effectively in news as part of a multidisciplinary team. Their computing skills will enable the team to find new stories, to pick which story ideas to follow and to find stories faster from satellite imagery, APIs.
Examples Of Recent Projects Include
- Automating steps in the collection and presentation of satellite imagery in order to speed the assessment of damage in military conflict.
The Successful Candidate Must Have
- Extensive experience finding newsworthy insights in a broad range of satellite data sources.
- Extensive experience developing automated tools that have the potential to find stories in satellite data.
- Experience of embedding the latest research practices/techniques relating to use of satellite data in non-expert groups.
- Extensive experience programming in R and/or Python to automate the extraction, cleaning, transformation and analysis of satellite data.
- An understanding of delivering stories or projects with editorial content to tight deadlines.
- Experience identifying, proposing and delivering new ideas for analysis OR improvements to workflows based on technical skills and understanding of the organisation’s needs.
- The communication skills to work with non-technical colleagues to identify the technical strengths and weaknesses of story ideas and to explain analysis findings and caveats clearly and concisely.
About The BBC
The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC for different reasons and they will be given priority consideration ahead of other applicants. We don’t focus simply on what we do – we also care how we do it. Our values and the way we behave are important to us. Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential.
We want to attract the broadest range of talented people to be part of the BBC – whether that’s to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity.
We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise.
Senior Software Engineer, BBC Verify (Basé à London) employer: Golden Bees
Contact Detail:
Golden Bees Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer, BBC Verify (Basé à London)
✨Tip Number 1
Familiarise yourself with the latest trends in satellite data analysis and how they can be applied to journalism. This will not only help you understand the role better but also allow you to discuss relevant projects during your interview.
✨Tip Number 2
Network with professionals in the field of data science and journalism, especially those who work with satellite data. Engaging with them on platforms like LinkedIn can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to showcase your programming skills in R and Python by working on personal projects or contributing to open-source initiatives. Having tangible examples of your work can set you apart from other candidates.
✨Tip Number 4
Understand the BBC's values and how they relate to diversity and inclusion. Be ready to discuss how your background and experiences align with these values during your interview, as cultural fit is important to the organisation.
We think you need these skills to ace Senior Software Engineer, BBC Verify (Basé à London)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Software Engineer position at BBC Verify. Tailor your application to highlight how your skills and experiences align with their needs.
Highlight Relevant Experience: In your CV and cover letter, emphasise your extensive experience with satellite data, programming in R and/or Python, and any previous work that demonstrates your ability to find newsworthy insights. Use specific examples to illustrate your achievements.
Showcase Communication Skills: Since the role involves working with non-technical colleagues, it's crucial to demonstrate your communication skills. Include examples of how you've effectively explained complex technical concepts to non-experts in your application.
Tailor Your Cover Letter: Craft a compelling cover letter that not only outlines your qualifications but also reflects your understanding of the BBC's values and commitment to diversity. Mention your enthusiasm for contributing to impactful stories through data science.
How to prepare for a job interview at Golden Bees
✨Showcase Your Technical Skills
Make sure to highlight your extensive experience with R and Python during the interview. Be prepared to discuss specific projects where you've automated data extraction and analysis, as this is crucial for the role.
✨Demonstrate Your Storytelling Ability
Since the role involves finding and telling impactful stories from satellite data, come prepared with examples of how you've turned complex data into compelling narratives. This will show your ability to communicate effectively with both technical and non-technical colleagues.
✨Understand the BBC's Values
Familiarise yourself with the BBC's values and behaviours before the interview. Being able to articulate how your personal values align with theirs can set you apart as a candidate who truly understands the organisation's culture.
✨Prepare for Collaborative Scenarios
The role requires working in a multidisciplinary team, so be ready to discuss your experience collaborating with others. Think of examples where you've successfully worked with non-technical colleagues to achieve a common goal, as this will demonstrate your teamwork skills.
