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- Tasks: Dive deep into data science, solving real-world problems in supply chain and logistics.
- Company: Join a dynamic team at the forefront of data innovation.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for professional growth.
- Why this job: Make an impact with your data skills in a fast-paced environment.
- Qualifications: Experience in applied data science and familiarity with Python, SQL, and cloud platforms.
- Other info: 12-month rolling contracts with a collaborative team atmosphere.
Urgent requirement for 7 Senior Data Scientists – Start ASAP!
12 month rolling contracts. Inside IR35. £600‑£700 per day. UK, hybrid London (1 day office per week).
I need people who have worked on production ready applied data science products – we are not interested in research heavy backgrounds for this project. Any forecasting/optimisation experience is great, particularly in Supply Chain or Logistics domains.
You’ll be comfortable with ambiguity and will want to dive deep and fix problems at scale.
The environment looks a bit like this:
- Python (pandas, numpy, scipy, PySpark)
- SQL
- AWS or GCP (BigQuery / RedShift / Snowflake)
- Spark / Databricks
- Airflow / Dagster
Senior Data Scientist - Arrows in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Arrows in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the hunt for a Senior Data Scientist role. You never know who might have the inside scoop on openings or can refer you directly.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous projects, especially those related to forecasting and optimisation in Supply Chain or Logistics. This will help you stand out and demonstrate your hands-on experience with production-ready data science products.
✨Tip Number 3
Ace the interview! Brush up on your Python, SQL, and cloud platform knowledge. Be ready to discuss how you've tackled ambiguity in past projects and how you approach problem-solving at scale. Confidence is key!
✨Tip Number 4
Apply through our website! We make it super easy for you to submit your application. Plus, it shows you're serious about joining our team. Don't miss out on this opportunity to land that Senior Data Scientist gig!
We think you need these skills to ace Senior Data Scientist - Arrows in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with production-ready data science products. We want to see how you've tackled real-world problems, especially in forecasting and optimisation within Supply Chain or Logistics.
Showcase Relevant Skills: When writing your application, emphasise your proficiency in Python, SQL, and cloud platforms like AWS or GCP. We’re looking for candidates who can dive deep into data and solve complex issues, so let that shine through!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for this role. Remember, we want to know how you can contribute to our team!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get the ball rolling on your journey with StudySmarter. We can’t wait to hear from you!
How to prepare for a job interview at Jobster
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on Python libraries like pandas and numpy, and be ready to discuss your experience with SQL and cloud platforms like AWS or GCP. Being able to talk confidently about these tools will show that you’re a great fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data science problems in production environments. Focus on your forecasting and optimisation experience, especially in Supply Chain or Logistics. This will demonstrate your ability to handle ambiguity and fix issues at scale, which is crucial for this position.
✨Be Ready for Technical Questions
Expect technical questions that test your knowledge of data science concepts and practical applications. Practice explaining your thought process clearly and concisely. You might be asked to solve a problem on the spot, so brush up on your coding skills and be prepared to think aloud.
✨Cultural Fit Matters
Research the company culture and values. Be prepared to discuss how your personal values align with theirs. Showing that you can thrive in their environment will give you an edge, especially since they’re looking for candidates who can adapt and contribute positively to the team.
