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- Tasks: Develop and optimise data science products in a fast-paced environment.
- Company: Join a leading firm in the data science sector with a hybrid work model.
- Benefits: Competitive daily rate, flexible working, and opportunities for professional growth.
- Why this job: Make a significant impact by solving real-world problems in supply chain and logistics.
- Qualifications: Experience in applied data science, particularly with Python, SQL, and cloud platforms.
- Other info: Dynamic team atmosphere with a focus on innovation and problem-solving.
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 or optimization 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 in London employer: Arrows
Contact Detail:
Arrows Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist 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 opportunities that aren't advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your production-ready data science projects, especially those involving forecasting or optimisation in Supply Chain or Logistics. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, SQL, and cloud platforms like AWS or GCP. Practising common data science interview questions can also give you an edge.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Plus, applying directly can sometimes put you ahead of the competition, so make sure to check it out!
We think you need these skills to ace Senior Data Scientist 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 hit the ground running, so make those skills pop!
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 solve problems at scale!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Arrows
✨Know Your Tech Stack
Make sure you’re well-versed in the tools mentioned in the job description. Brush up on your Python skills, especially with libraries like pandas and numpy, and be ready to discuss how you've used them in production-ready data science products.
✨Showcase Your Experience
Prepare specific examples from your past work that highlight your experience in forecasting and optimisation, particularly in Supply Chain or Logistics. Be ready to explain how you tackled complex problems and what impact your solutions had.
✨Embrace Ambiguity
Since the role requires comfort with ambiguity, think of instances where you’ve navigated uncertain situations. Share how you approached these challenges and the strategies you employed to find clarity and solutions.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects and challenges. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your working style.
