At a Glance
- Tasks: Lead a team to drive business optimisation using advanced analytics and machine learning.
- Company: A leading data insights and consulting company with a focus on innovation.
- Benefits: Flexible work environment, mentorship, and opportunities for professional growth.
- Why this job: Make a real impact by leveraging your analytical skills in a diverse team.
- Qualifications: Deep expertise in Python, R, and cloud platforms required.
- Other info: Collaborative culture with a strong emphasis on diversity and innovation.
The predicted salary is between 36000 - 60000 £ per year.
A leading data insights and consulting company is seeking a Lead Data Scientist to drive business optimisation through advanced analytics and machine learning. The role involves leading a team to deliver key projects while collaborating with various stakeholders.
Candidates should have deep expertise in analytical techniques and tools such as Python, R, and cloud platforms. This position offers the chance to work in a flexible environment focused on innovation and diversity.
Lead Data Scientist — Hybrid, Mentored Team employer: KANTAR
Contact Detail:
KANTAR Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist — Hybrid, Mentored Team
✨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 hunt for a Lead Data Scientist role. You never know who might have the inside scoop on an opportunity or can refer you directly.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your projects using Python, R, and any cloud platforms you've worked with. This will give potential employers a taste of what you can bring to the table and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your analytical techniques and machine learning knowledge. Be ready to discuss how you've used these skills to drive business optimisation in past roles. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our innovative and diverse team. Plus, it makes it easier for us to keep track of your application.
We think you need these skills to ace Lead Data Scientist — Hybrid, Mentored Team
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in analytical techniques and tools like Python and R. We want to see how you can drive business optimisation through your skills, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for the Lead Data Scientist role. Mention specific projects or experiences that align with our focus on advanced analytics and machine learning. It’ll make you stand out!
Be Collaborative: Since this role involves leading a team and collaborating with stakeholders, share examples of how you've worked with others in the past. We love seeing teamwork in action!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at KANTAR
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, R, and any cloud platforms mentioned in the job description. Brush up on your analytical techniques and be ready to discuss how you've applied them in past projects. This will show that you’re not just familiar with the tools, but that you can leverage them effectively.
✨Showcase Your Leadership Skills
As a Lead Data Scientist, you'll be guiding a team. Prepare examples of how you've led teams in the past, focusing on collaboration and mentorship. Think about specific challenges you faced and how you helped your team overcome them. This will demonstrate your ability to lead and inspire others.
✨Understand the Business Context
Research the company’s focus on business optimisation through analytics. Be ready to discuss how your work can drive value for their clients. Showing that you understand the bigger picture will set you apart from other candidates who may only focus on technical skills.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, project expectations, and the company’s approach to innovation and diversity. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.