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- Tasks: Lead exciting Gen/AI and ML projects, guiding a talented data science team.
- Company: Join a forward-thinking company at the forefront of data innovation in Bristol.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Be part of impactful projects that shape the future of technology and data science.
- Qualifications: Experience in data science management and a strong background in AI/ML required.
- Other info: This role is perfect for those with UK working rights; no visa sponsorship available.
The predicted salary is between 54000 - 126000 £ per year.
Salary: Negotiable up to £90,000 Dependent on Experience
Hybrid working - Bristol (2-3 days per week in the office)
Please note we can only accept applications from those with current UK working rights for this role, this client cannot offer visa sponsorship.
Our client is seeking to recruit a new Data Science Manager to lead data science projects.
Data Science Manager Gen/AI & ML Projects - Bristol employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager Gen/AI & ML Projects - Bristol
✨Tip Number 1
Familiarise yourself with the latest trends in Generative AI and Machine Learning. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and expertise in the field.
✨Tip Number 2
Network with professionals in the data science community, especially those who are already working in managerial roles. Attend meetups or webinars to gain insights and potentially get referrals that could help you land the job.
✨Tip Number 3
Prepare to showcase your leadership skills by thinking of examples where you've successfully managed projects or teams. Be ready to discuss how you can lead a team effectively in a hybrid working environment.
✨Tip Number 4
Research the company’s current projects and challenges in the data science space. Tailoring your conversation to show how your experience aligns with their needs can set you apart from other candidates.
We think you need these skills to ace Data Science Manager Gen/AI & ML Projects - Bristol
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to understand the specific requirements and responsibilities of the Data Science Manager position. Tailor your application to highlight relevant experience in Gen/AI and ML projects.
Highlight Relevant Experience: In your CV and cover letter, emphasise your previous roles in data science, particularly those involving generative AI and machine learning. Use specific examples to demonstrate your leadership skills and project management experience.
Craft a Compelling Cover Letter: Write a personalised cover letter that addresses the hiring manager. Explain why you are interested in this role and how your background makes you a perfect fit for the company’s goals in data science.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial in data science roles.
How to prepare for a job interview at Datatech Analytics
✨Showcase Your Technical Skills
As a Data Science Manager, you'll need to demonstrate your expertise in Gen/AI and ML projects. Be prepared to discuss specific technologies and methodologies you've used in past projects, and how they can be applied to the role.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think of scenarios where you've had to lead a team through a challenging project or make critical decisions based on data analysis. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Understand the Company’s Vision
Research the company’s goals and how they align with your experience in data science. Be ready to discuss how you can contribute to their vision, especially in the context of Gen/AI and ML projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project expectations, and the company's approach to innovation in data science. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
