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- Tasks: Lead and mentor a team of Data Scientists while delivering AI programmes.
- Company: Join a forward-thinking organisation focused on advanced AI and data science.
- Benefits: Enjoy remote work, competitive salary, and additional allowances for exceptional candidates.
- Why this job: Be part of a dynamic team driving innovation in AI and data governance.
- Qualifications: Experience in Python coding, cloud computing, and strong leadership skills required.
- Other info: This role is home-based with occasional office travel; UK working rights are essential.
The predicted salary is between 52737 - 71869 £ per year.
Remote Working - UK Home-based with very occasional travel into the office.
Salary: £52,737 - £66,197 (National Framework) or £58,409- £71,869 (London Framework – if you are London office based or homebased and live within the boundary of the M25). Plus an additional allowance (paid as a separate amount to salary) of up to £7000 for exceptional candidates. There is also an additional homeworking allowance of £581 per annum for those working from home.
Please note we can only accept applications from those with current UK working rights for this role; this client cannot offer visa sponsorship.
A new and exciting opportunity has arisen for a Principal Data Scientist with a strong background in Advanced AI (Artificial Intelligence) to lead, mentor and develop a team of Data Scientists. Collaborating cross-functionally, the role will focus on the delivery of AI and Data Science programmes across the organisation, driving Data Quality, Data Governance and Best Practice.
Proven and demonstrable experience of Python coding and cloud computing is required, coupled with fantastic communication and leadership skills to problem solve as well as influence across all levels of the organisation.
Principal Data Scientist (Manager) - Remote employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist (Manager) - Remote
✨Tip Number 1
Familiarise yourself with the latest trends in AI and Data Science. Being well-versed in current technologies and methodologies will not only boost your confidence but also demonstrate your commitment to the field during discussions.
✨Tip Number 2
Network with professionals in the industry, especially those who are already working in similar roles. Attend relevant webinars or local meetups to build connections that could provide insights or even referrals for the position.
✨Tip Number 3
Prepare to showcase your leadership skills by thinking of examples where you've successfully led a team or project. Be ready to discuss how you can mentor others and drive collaboration across departments.
✨Tip Number 4
Brush up on your Python coding skills and cloud computing knowledge. Consider working on a small project or contributing to open-source initiatives to have tangible examples of your expertise to discuss during interviews.
We think you need these skills to ace Principal Data Scientist (Manager) - Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Advanced AI, Python coding, and cloud computing. Use specific examples that demonstrate your leadership and mentoring skills, as well as your ability to drive data quality and governance.
Craft a Compelling Cover Letter: In your cover letter, explain why you are the perfect fit for the Principal Data Scientist role. Discuss your passion for AI and data science, and how your previous experiences align with the responsibilities of leading a team and collaborating cross-functionally.
Showcase Relevant Projects: If you have worked on any significant projects related to AI or data science, be sure to include them in your application. Highlight your role, the technologies used, and the impact of the project on the organisation.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail and professionalism, which is crucial for a managerial position.
How to prepare for a job interview at Datatech Analytics
✨Showcase Your Technical Skills
As a Principal Data Scientist, you'll need to demonstrate your expertise in Python and cloud computing. Be prepared to discuss specific projects where you've applied these skills, and consider bringing examples of your work to the interview.
✨Highlight Leadership Experience
Since this role involves mentoring and leading a team, it's crucial to share your leadership experiences. Talk about how you've successfully guided teams in the past, focusing on your approach to problem-solving and fostering collaboration.
✨Understand the Company's AI Vision
Research the company's current AI initiatives and be ready to discuss how you can contribute to their goals. Showing that you understand their vision will demonstrate your genuine interest in the role and the organisation.
✨Prepare for Behavioural Questions
Expect questions that assess your soft skills, such as communication and influence. Use the STAR method (Situation, Task, Action, Result) to structure your responses, providing clear examples of how you've navigated challenges in previous roles.
