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For Companies At a Glance
- Tasks: Create bespoke data science solutions and maintain strong client relationships.
- Company: Innovative AI company in Greater London with a focus on human-centred defence.
- Benefits: Hybrid working, flexible environment, and opportunities for growth and innovation.
- Why this job: Join a cutting-edge team and make a real impact in the AI field.
- Qualifications: Strong Python skills and a solid understanding of data science techniques.
- Other info: Dynamic role with a focus on delivery excellence and client satisfaction.
The predicted salary is between 36000 - 60000 £ per year.
An innovative AI company in Greater London is seeking a Data Scientist to work closely with clients and deliver bespoke data science solutions. The ideal candidate will possess strong Python programming skills and have a solid understanding of data science techniques.
Responsibilities include:
- Defining project scope
- Maintaining client relationships
- Ensuring delivery excellence
The role supports hybrid working with two days in the office and offers a flexible environment for growth and innovation.
Data Scientist — Hybrid, Human‐Centered Defense AI in London employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist — Hybrid, Human‐Centered Defense AI in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those using Python. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist — Hybrid, Human‐Centered Defense AI in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python programming skills in your application. We want to see how you've used Python in past projects, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific data science techniques you’re familiar with and how they relate to the bespoke solutions we deliver at StudySmarter.
Client Relationships Matter: Since maintaining client relationships is key, share any relevant experiences where you’ve successfully worked with clients. We love to see how you’ve built rapport and delivered results!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Faculty
✨Know Your Python Inside Out
Make sure you brush up on your Python programming skills before the interview. Be ready to discuss specific libraries and frameworks you've used in past projects, as well as any challenges you faced and how you overcame them.
✨Understand Data Science Techniques
Familiarise yourself with key data science techniques relevant to the role. Be prepared to explain concepts like machine learning algorithms, data visualisation, and statistical analysis, and how they apply to real-world problems.
✨Showcase Your Client Relationship Skills
Since maintaining client relationships is crucial, think of examples where you've successfully collaborated with clients or stakeholders. Highlight your communication skills and how you ensure client satisfaction throughout a project.
✨Embrace the Hybrid Work Model
As this role supports hybrid working, be ready to discuss how you manage your time and productivity in both office and remote settings. Share any experiences that demonstrate your adaptability and commitment to delivering excellence, regardless of your work environment.
