At a Glance
- Tasks: Develop reusable Python packages and support large-scale data science solutions.
- Company: Leading data science company with a focus on innovation.
- Benefits: Flexible working environment and diverse perks for employees.
- Other info: Join a dynamic team and grow your skills in a supportive atmosphere.
- Why this job: Kickstart your career in data science with hands-on experience in Python and machine learning.
- Qualifications: Experience in Python, SQL, and familiarity with machine learning techniques.
The predicted salary is between 28800 - 43200 £ per year.
A technology recruitment partner is collaborating with a leading data science company to find an Entry-Level Python Developer in London. This role focuses on developing reusable Python packages and supporting large-scale data science solutions.
Ideal candidates should have experience in Python, SQL, and familiarity with machine learning techniques.
The company promotes a flexible working environment and offers a variety of perks to support its diverse workforce.
Entry-Level Data Science Engineer — Python, ML & Big Data employer: hackajob
As a leading data science company based in London, we pride ourselves on fostering a flexible and inclusive work environment that empowers our employees to thrive. With a strong emphasis on professional development, we offer numerous growth opportunities and a range of perks designed to support the well-being of our diverse workforce, making us an excellent employer for those looking to kickstart their careers in data science.
StudySmarter Expert Advice🤫
We think this is how you could land Entry-Level Data Science Engineer — Python, ML & Big Data
✨Tip Number 1
Network like a pro! Reach out to people in the data science field on LinkedIn or at local meetups. 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 GitHub profile showcasing your Python projects and any machine learning models you've built. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common data science questions and coding challenges. We recommend using platforms like LeetCode or HackerRank to sharpen your skills before the big day.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we often have exclusive listings that you won’t find anywhere else.
We think you need these skills to ace Entry-Level Data Science Engineer — Python, ML & Big Data
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your experience with Python in your application. We want to see how you've used it in projects or coursework, so don’t hold back on the details!
SQL is Key:Since SQL is a big part of this role, include any relevant experience you have with databases. We love seeing how you’ve worked with data, so share those examples!
Machine Learning Matters:If you’ve dabbled in machine learning techniques, let us know! Mention any projects or coursework that involved ML, as it shows your enthusiasm and readiness for the role.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at hackajob
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with developing reusable packages and any projects you've worked on that showcase your coding abilities.
✨SQL Skills Are Key
Since SQL is a crucial part of the role, prepare to answer questions about database management and data manipulation. Practise writing queries and be ready to explain how you've used SQL in past projects.
✨Familiarity with Machine Learning
Even if you're entry-level, having a basic understanding of machine learning techniques can set you apart. Brush up on common algorithms and be prepared to discuss how they apply to data science solutions.
✨Show Enthusiasm for Flexibility
The company values a flexible working environment, so express your enthusiasm for this aspect. Share how you manage your time effectively and how flexibility can enhance your productivity.
