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- Tasks: Lead data science projects using Python, SQL, and Pyspark in a hybrid work environment.
- Company: Join a dynamic team in the financial services or tech sector, driving innovation.
- Benefits: Enjoy hybrid working options and the chance to work with cutting-edge technologies.
- Why this job: Be at the forefront of AI and ML, making a real impact in the industry.
- Qualifications: Experience in financial services or tech, with skills in Python, SQL, and Pyspark required.
- Other info: Must be located near London and hold UK citizenship or ILR.
The predicted salary is between 48000 - 72000 £ per year.
Data Science Manager – London – Python, SQL, Pyspark
I am looking to speak to Data Scientists in London who have experience in financial services or technology companies for one of my clients.
Essential Skills:
- Python
- SQL
- Pyspark
- Scikit
- Pytorch
- Cloud Technologies
Experience:
- Within Financial Services or Technology sectors
- Exposure to AI, ML & LLMs beneficial
If you would be interested in exploring this opportunity apply to this opportunity and I can run through further details.
Must be located near London due to hybrid working.
Must hold Citizenship or ILR, no other visas accepted or offered.
Data Science Manager employer: Nicoll Curtin
Contact Detail:
Nicoll Curtin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager
✨Tip Number 1
Make sure to highlight your experience in financial services or technology during any conversations. This will show that you understand the industry and can bring valuable insights to the role.
✨Tip Number 2
Familiarize yourself with the latest trends in AI, ML, and LLMs. Being able to discuss these topics confidently can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the London area who work in data science. Attend meetups or webinars to connect with others in the field and potentially get referrals.
✨Tip Number 4
Prepare to discuss specific projects where you've used Python, SQL, and Pyspark. Be ready to explain your thought process and the impact of your work on previous teams or companies.
We think you need these skills to ace Data Science Manager
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in financial services or technology sectors. Use specific examples of projects or roles where you utilized Python, SQL, and Pyspark.
Showcase Technical Skills: Clearly list your technical skills, especially in Python, SQL, Pyspark, Scikit, and Pytorch. Mention any cloud technologies you are familiar with, as these are essential for the role.
Include AI/ML Exposure: If you have experience with AI, ML, or LLMs, be sure to include this in your application. Highlight any relevant projects or achievements that demonstrate your expertise in these areas.
Tailor Your Application: Customize your CV and cover letter to align with the job description. Use keywords from the job listing to ensure your application stands out to recruiters.
How to prepare for a job interview at Nicoll Curtin
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and Pyspark in detail. Bring examples of projects where you've utilized these technologies, especially in financial services or tech environments.
✨Highlight Relevant Experience
Make sure to emphasize your background in financial services or technology sectors. Discuss specific challenges you've faced and how you overcame them, particularly in relation to AI, ML, and LLMs.
✨Demonstrate Cloud Knowledge
Since cloud technologies are essential for this role, be ready to talk about your experience with cloud platforms. Mention any relevant projects and how they contributed to your team's success.
✨Prepare Questions
Have thoughtful questions ready about the company's data strategy and team dynamics. This shows your interest in the role and helps you assess if it's the right fit for you.
