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- Tasks: Lead Data Science and Machine Learning teams to drive impactful initiatives.
- Company: Dynamic technology consultancy based in London with a focus on innovation.
- Benefits: Attractive salary, bonus potential, and hybrid working model.
- Why this job: Join a forward-thinking team and shape the future of data science.
- Qualifications: Proven leadership experience in data science and analytics.
- Other info: Significant growth potential in a fast-paced environment.
The predicted salary is between 96000 - 224000 £ per year.
A technology consultancy in London is seeking a Head of Data Science to lead their Data Science, Machine Learning & Advanced Analytics capability. The ideal candidate will have a proven track record in leadership roles, with experience in driving teams and initiatives that yield positive ROI. This role offers significant growth potential with a hybrid working model and an attractive compensation package.
Head of Data Science - Hybrid Leader, £160k+ Bonus employer: Burns Sheehan
Contact Detail:
Burns Sheehan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science - Hybrid Leader, £160k+ Bonus
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Showcase your leadership skills! When you get the chance to chat with potential employers, highlight your experience in driving teams and initiatives. Share specific examples of how you've achieved positive ROI in past roles.
✨Tip Number 3
Prepare for those interviews! Research the company and its projects, especially in data science and machine learning. Be ready to discuss how you can lead their capabilities to new heights and contribute to their growth.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can give you an edge. Plus, it shows you’re serious about joining our team!
We think you need these skills to ace Head of Data Science - Hybrid Leader, £160k+ Bonus
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Head of Data Science role. Highlight your leadership experience and any successful projects that demonstrate your ability to drive ROI.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're the perfect fit for this role. Share specific examples of how you've led teams and initiatives in the past, and don’t forget to mention your passion for data science.
Showcase Your Achievements: When detailing your experience, focus on quantifiable achievements. We love numbers! Whether it's increased revenue or improved efficiency, show us how your contributions made a difference.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Burns Sheehan
✨Showcase Your Leadership Experience
Make sure to highlight your previous leadership roles and how you've successfully driven teams towards achieving positive ROI. Prepare specific examples of initiatives you've led that resulted in measurable outcomes.
✨Demonstrate Technical Expertise
Brush up on the latest trends in Data Science, Machine Learning, and Advanced Analytics. Be ready to discuss your technical skills and how they can be applied to the consultancy's projects. Consider bringing a portfolio of your work to showcase your capabilities.
✨Understand the Company’s Vision
Research the technology consultancy thoroughly. Understand their mission, values, and recent projects. This will help you align your answers with their goals and demonstrate your genuine interest in the role.
✨Prepare Thoughtful Questions
Think of insightful questions to ask during the interview. This shows your enthusiasm for the position and helps you gauge if the company is the right fit for you. Ask about their current data initiatives or future plans for growth in the Data Science field.
