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- Tasks: Lead data science projects and mentor team members in AI-driven solutions.
- Company: Top financial data platform in the heart of London.
- Benefits: Competitive salary, mentorship opportunities, and access to cutting-edge AI tech.
- Why this job: Shape product strategy while working with innovative AI technologies.
- Qualifications: Expertise in Python, SQL, and MLOps required.
- Other info: Collaborative environment with a focus on technical excellence.
The predicted salary is between 43200 - 72000 £ per year.
A leading financial data platform in the City of London is seeking a Senior Data Scientist. This role requires deep expertise in data science techniques and tools, with a focus on driving technical excellence and mentoring team members.
Candidates should have strong Python and SQL skills, along with experience in MLOps. The position offers the opportunity to work with cutting-edge AI technologies and influence product strategy. This role is integral to the team's success and values collaborative problem-solving.
Senior Data Scientist — AI-Driven Product Leader & Mentor in London employer: Codat
Contact Detail:
Codat Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist — AI-Driven Product Leader & Mentor in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving Python, SQL, and MLOps. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common data science interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Scientist — AI-Driven Product Leader & Mentor in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and SQL skills in your application. We want to see how you've used these tools in real-world scenarios, so don’t hold back on the details!
Talk About Your Mentoring Experience: Since this role involves mentoring, share any experiences you have in guiding others. We love to see how you’ve helped team members grow and succeed in their data science journeys.
Be Specific About Your Projects: When discussing your past projects, focus on those that involved MLOps or AI technologies. We’re keen to understand your thought process and the impact of your work on product strategy.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Codat
✨Showcase Your Technical Skills
Make sure to brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've applied these tools, especially in relation to MLOps. Demonstrating your technical expertise will show that you’re not just familiar with the tools, but that you can use them effectively.
✨Prepare for Problem-Solving Scenarios
Since this role values collaborative problem-solving, be prepared to tackle some real-world data challenges during the interview. Think about how you would approach a problem, what data you would need, and how you would mentor others through the process. This will highlight your leadership and analytical skills.
✨Know the Company and Its Products
Research the financial data platform thoroughly. Understand their products, the AI technologies they use, and their market position. Being able to discuss how your experience aligns with their goals will demonstrate your genuine interest in the role and the company.
✨Emphasise Mentorship Experience
As a Senior Data Scientist, mentoring is key. Prepare examples of how you've guided team members in the past, whether through formal training or informal support. Highlighting your ability to uplift others will resonate well with the interviewers, showing that you can contribute to the team's success.
