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- Tasks: Lead data science and AI projects to drive efficiency and insights.
- Company: Join a forward-thinking organisation focused on innovative data solutions.
- Benefits: Earn £880 per day with flexible on-site work in Taunton.
- Why this job: Make a real impact using cutting-edge technology in a collaborative environment.
- Qualifications: Expertise in data science, machine learning, and programming languages like Python or R required.
- Other info: 12-month contract with SC clearance needed; perfect for ambitious tech enthusiasts.
The predicted salary is between 66000 - 99000 £ per year.
Job Details:
£880 per day inside IR35, 12-month contract, 2-3 days on-site in Taunton, SC clearance required.
Skills:
- Expert level knowledge of data science and machine learning.
- Strong skills in scientific programming languages such as Python, R or C++.
- Extensive knowledge of exploratory data analysis and statistical analysis of large datasets.
Responsibilities:
- Delivering efficiency and customer benefits using data science and AI.
- Oversee strategy for responsible use of data science and AI for automation or new insights.
- Working with stakeholders to prioritise data science, AI and automation projects.
- Leading guidance and reporting on the usage of AI within the organisation.
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
Head of Data Science and AI employer: 73875
Contact Detail:
73875 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science and AI
✨Tip Number 1
Make sure to showcase your expert-level knowledge in data science and machine learning during any discussions. Be prepared to discuss specific projects where you've successfully applied these skills, as this will demonstrate your capability to deliver efficiency and customer benefits.
✨Tip Number 2
Familiarise yourself with the latest trends in AI and data science, especially regarding responsible use and automation. This knowledge will help you engage meaningfully with stakeholders and show that you're proactive about prioritising relevant projects.
✨Tip Number 3
Prepare to discuss your experience with scientific programming languages like Python, R, or C++. Highlight any specific instances where you've used these languages for exploratory data analysis or statistical analysis of large datasets, as this is crucial for the role.
✨Tip Number 4
Since the role requires SC clearance, ensure you understand the process and requirements for obtaining it. Being knowledgeable about this can set you apart from other candidates and show your commitment to meeting the job's prerequisites.
We think you need these skills to ace Head of Data Science and AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your expert knowledge in data science and machine learning. Include specific examples of projects where you've used Python, R, or C++ to demonstrate your skills.
Craft a Strong Cover Letter: Write a cover letter that outlines your experience with exploratory data analysis and statistical analysis of large datasets. Emphasise how you can deliver efficiency and customer benefits using data science and AI.
Showcase Leadership Experience: In your application, highlight any previous roles where you led teams or projects related to data science and AI. Discuss how you have worked with stakeholders to prioritise projects and oversee strategies.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A polished application reflects your attention to detail, which is crucial in data science roles.
How to prepare for a job interview at 73875
✨Showcase Your Technical Expertise
As a Head of Data Science and AI, it's crucial to demonstrate your expert-level knowledge in data science and machine learning. Be prepared to discuss specific projects where you've applied scientific programming languages like Python, R, or C++, and how these skills have led to successful outcomes.
✨Discuss Strategic Oversight
Highlight your experience in overseeing strategies for the responsible use of data science and AI. Prepare examples of how you've prioritised projects and collaborated with stakeholders to deliver efficiency and customer benefits through data-driven insights.
✨Emphasise Leadership Skills
Since this role involves leading guidance and reporting on AI usage, be ready to talk about your leadership style. Share instances where you've successfully led teams or initiatives, focusing on how you foster collaboration and innovation within your team.
✨Prepare for Ethical Considerations
Given the emphasis on responsible use of data science and AI, be prepared to discuss ethical considerations in your work. Think about how you've addressed issues related to data privacy, bias in algorithms, or the implications of automation in previous roles.
