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- Tasks: Create innovative data solutions for retailers using Python and analytics.
- Company: Dynamic data analytics company based in London.
- Benefits: Competitive daily rate, potential travel opportunities, and a collaborative team environment.
- Why this job: Join a cutting-edge team and make a real difference in retail analytics.
- Qualifications: Strong Python skills and knowledge of data science libraries required.
- Other info: 6-month assignment with exciting travel to Paris and Munich.
The predicted salary is between 36000 - 60000 £ per year.
A data analytics company in London is seeking a Data Scientist and Python Software Developer to join their product team. The role involves developing intuitive solutions for retailers based on analytics.
Ideal candidates should possess:
- Strong Python skills
- Familiarity with data science libraries
- Statistical knowledge
The position is a 6-month assignment with potential travel to Paris and Munich. Interested applicants should send their CV in Word format along with their daily rate and availability.
Data Scientist & Python Software Engineer (Big Data) in London employer: Jas Gujral
Contact Detail:
Jas Gujral Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist & Python Software Engineer (Big Data) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science and software engineering fields. Attend meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and data analytics work. This is your chance to demonstrate your expertise and make a lasting impression. Make sure to include any relevant projects that align with the role you're applying for.
✨Tip Number 3
Prepare for interviews by brushing up on common data science and Python-related questions. Practice coding challenges and be ready to discuss your past experiences. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Tailor your CV to highlight your Python skills and experience with data science libraries. Don’t forget to mention your availability and daily rate as requested!
We think you need these skills to ace Data Scientist & Python Software Engineer (Big Data) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python skills and experience with data science libraries. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Show Off Your Stats Knowledge: Since statistical knowledge is key for this role, include any relevant coursework or projects that demonstrate your expertise. We love seeing how you can apply your skills in real-world scenarios!
Be Clear About Your Availability: When you send us your application, make sure to clearly state your availability and daily rate. This helps us understand if you’re a good fit for the project timeline we have in mind.
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 Jas Gujral
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with data science libraries like Pandas, NumPy, and Scikit-learn. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Showcase Your Analytical Mindset
Prepare to talk about how you've used data analytics to solve real-world problems. Think of specific examples where your insights led to actionable solutions for retailers or similar industries. This will show that you can apply your skills effectively.
✨Understand the Company’s Needs
Research the company and its products thoroughly. Understand their target market and the types of analytics they focus on. This knowledge will allow you to tailor your answers and demonstrate how you can contribute to their goals.
✨Be Ready for Travel Discussions
Since the role may involve travel to Paris and Munich, be prepared to discuss your flexibility and willingness to travel. Highlight any previous experiences you have had working in different locations or cultures, as this can set you apart from other candidates.
