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- Tasks: Create innovative data solutions for retailers using Python and analytics.
- Company: Exciting data analytics firm based in London with a global reach.
- Benefits: Competitive pay, potential travel opportunities, and a dynamic work environment.
- Why this job: Join a forward-thinking 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 potential for 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) 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)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and data science work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and coding challenges. Practising with friends or using online platforms can help us feel more confident when it’s our turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing familiar faces from our community!
We think you need these skills to ace Data Scientist & Python Software Engineer (Big Data)
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 theory to real-world problems!
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 directly through our website. It’s the best way to ensure your application gets into the right hands quickly. Plus, it shows us you’re keen on joining our team!
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. You might even be asked to solve a coding challenge, so practice writing clean, efficient code.
✨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 outcomes, especially in retail settings. This will demonstrate your ability to develop intuitive solutions that align with the company's goals.
✨Familiarise Yourself with Big Data Concepts
Since this role involves big data, make sure you understand key concepts and tools related to it. Brush up on technologies like Hadoop or Spark, and be ready to discuss how you've worked with large datasets in the past. This knowledge will set you apart from other candidates.
✨Be Ready for Travel Discussions
As the position may involve travel to Paris and Munich, be prepared to discuss your flexibility and willingness to travel. Highlight any previous experiences you have had with international projects or collaborations, as this shows you're adaptable and open to new opportunities.
