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- Tasks: Dive into data science, AI/ML, and engineering with a dynamic team.
- Company: Join an innovative Data Start-up delivering cutting-edge SAAS and AI solutions.
- Benefits: Enjoy hybrid work, competitive salary, and rapid career progression.
- Why this job: Perfect for early-career professionals eager to make an impact in tech.
- Qualifications: Must have a 2:1 or above in a STEM degree and skills in SQL and Python.
- Other info: Expect a rigorous interview process including tests and team fit assessments.
The predicted salary is between 36000 - 60000 £ per year.
We’ve partnered with an innovative Data Start-up who are looking to hire a passionate Data Scientist. This consultancy provides innovative SAAS and AI solutions to their household name clients and is an excellent opportunity to work with a small, but high-performing team. This role encompasses a blend between applied Data Science, AI/ML, and Data Engineering across all the Cloud platforms. This is an ideal role for someone looking to hit the ground running in the early stages of their career, with this company offering huge opportunity for quick progression.
Role Requirements:
- 2:1 or above in Mathematics or STEM Degree from a Top UK university
- Exposure to First Party Data
- Highly skilled with SQL and Python
- 6 months – 2 years’ commercial experience within Data Engineering and/or Data Science
Interview Process:
- SQL Test
- Technical interview (1 hour)
- In person Team Fit (2 hours)
Data Scientist employer: JSS Search
Contact Detail:
JSS Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Brush up on your SQL and Python skills before the interview. Since these are crucial for the role, consider working on small projects or challenges that can showcase your proficiency in these languages.
✨Tip Number 2
Familiarise yourself with the latest trends in Data Science, AI, and Machine Learning. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 3
Prepare for the team fit interview by researching the company culture and values. Think about how your personal values align with theirs and be ready to share examples of how you work well in a team setting.
✨Tip Number 4
Network with current or former employees of the company on platforms like LinkedIn. They can provide valuable insights into the interview process and what the team is looking for in a candidate.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills and experiences, particularly in SQL, Python, and any exposure to Data Engineering or Data Science. Emphasise your academic achievements, especially if you have a 2:1 or above in a Mathematics or STEM degree.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your understanding of the company's innovative approach. Mention specific projects or experiences that demonstrate your ability to work with first-party data and your familiarity with AI/ML concepts.
Prepare for Technical Assessments: Since the interview process includes an SQL test, brush up on your SQL skills. Practice common SQL queries and problems to ensure you're ready to showcase your technical abilities during the assessment.
Research the Company: Familiarise yourself with the start-up's products and services, particularly their SAAS and AI solutions. Understanding their client base and the challenges they address will help you articulate how you can contribute to their team during the interviews.
How to prepare for a job interview at JSS Search
✨Brush Up on SQL and Python
Since the role requires strong skills in SQL and Python, make sure to review key concepts and practice coding problems. Be prepared to demonstrate your knowledge during the technical interview.
✨Understand First Party Data
Familiarise yourself with what first party data is and how it can be leveraged in data science projects. Being able to discuss its importance and applications will show your understanding of the industry.
✨Prepare for the Team Fit Interview
The team fit interview is crucial, so think about how your values align with the company culture. Be ready to share examples of teamwork and collaboration from your past experiences.
✨Practice Problem-Solving Scenarios
Expect to face real-world problem-solving scenarios during the interview. Practising how to approach and solve data-related challenges will help you articulate your thought process clearly.
