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For Companies At a Glance
- Tasks: Develop AI models and collaborate with teams to solve real-world business challenges.
- Company: Join a fast-growing AI Tech Scale-Up revolutionizing predictive analytics for top-tier clients.
- Benefits: Enjoy a competitive salary, equity options, and a hybrid work environment.
- Why this job: Be part of an innovative team making a real impact across various industries.
- Qualifications: 3+ years in data science, strong communication skills, and industry experience preferred.
- Other info: Work closely with diverse teams and directly engage with clients.
The predicted salary is between 54000 - 126000 £ per year.
Senior Data Scientist | AI Tech Scale-Up | London/Hybrid | Up to £90,000 DOE + Equity
We are excited to be working with a rapidly growing AI Tech Scale-Up looking to expand its team with a talented Senior Data Scientist!
About the Company
This innovative company offers an advanced enterprise platform that delivers predictive analytics and provides actionable insights powered by AI. These insights drive real improvements in business performance for top-tier clients across sectors such as asset management, banking, retail, supply chain, telecoms, utilities, and more.
The Role
As a Senior Data Scientist, you will be pivotal in developing AI-powered models and decision-making applications using their cutting-edge technology. You will work closely with a diverse team of researchers, engineers, and executives, collaborating directly with clients to address their most critical business challenges.
Key Responsibilities:
- Develop AI-driven models that solve real-world business problems.
- Collaborate with cross-functional teams and clients to deliver impactful solutions.
- Translate complex data insights into clear actions that drive business outcomes.
What We're Looking For:
Ideal candidates will have the following qualifications:
- A minimum of 3 years of experience in a commercial data science role.
- Excellent communication skills, with the ability to present complex ideas to both technical and non-technical stakeholders.
- Experience in industries such as Retail, Supply Chain, Financial Services, Telecoms, Public Sector, or similar.
Senior Data Scientist | AI employer: Nicholson Glover
Contact Detail:
Nicholson Glover Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist | AI
✨Tip Number 1
Make sure to showcase your experience with AI-driven models in your conversations. Highlight specific projects where you've developed predictive analytics that led to measurable business improvements.
✨Tip Number 2
Prepare to discuss how you've collaborated with cross-functional teams in the past. Be ready to share examples of how you translated complex data insights into actionable strategies for clients.
✨Tip Number 3
Familiarize yourself with the industries mentioned in the job description, such as retail and financial services. Understanding the specific challenges these sectors face will help you demonstrate your relevance during discussions.
✨Tip Number 4
Practice explaining complex data science concepts in simple terms. This will be crucial when communicating with non-technical stakeholders, so think of analogies or simplified explanations that convey your expertise.
We think you need these skills to ace Senior Data Scientist | AI
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Data Scientist position. Understand the key responsibilities and required qualifications, so you can tailor your application accordingly.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience in commercial data science roles, particularly any work related to AI-driven models or predictive analytics. Use specific examples to demonstrate your impact in previous positions.
Showcase Communication Skills: Since excellent communication skills are crucial for this role, include examples of how you've effectively communicated complex data insights to both technical and non-technical stakeholders in your application.
Tailor Your Application: Customize your CV and cover letter to reflect the specific industries mentioned in the job description, such as Retail, Supply Chain, or Financial Services. This will show that you understand the company's focus and can bring relevant expertise.
How to prepare for a job interview at Nicholson Glover
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AI-driven models and predictive analytics. Highlight specific projects where you've successfully implemented data science solutions that had a measurable impact on business performance.
✨Communicate Clearly
Since the role requires translating complex data insights into actionable strategies, practice explaining your past work in simple terms. Tailor your explanations to suit both technical and non-technical audiences.
✨Demonstrate Collaboration Experience
Share examples of how you've worked with cross-functional teams in previous roles. Emphasize your ability to collaborate with researchers, engineers, and clients to solve critical business challenges.
✨Research the Company and Its Clients
Understand the sectors the company operates in, such as retail and financial services. Be ready to discuss how your skills can address the specific challenges faced by their top-tier clients.
