Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and optimise data science products in a fast-paced environment.
- Company: Leading tech firm offering exciting projects in data science.
- Benefits: Competitive daily rate, hybrid work model, and flexible contracts.
- Why this job: Join a dynamic team and tackle real-world problems in logistics and supply chain.
- Qualifications: Experience in applied data science, forecasting, and optimisation required.
- Other info: Opportunity to work with cutting-edge tools like Python, SQL, and AWS.
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 City of London employer: Arrows
Contact Detail:
Arrows Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in City of 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 lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your applied data science projects, especially those related to forecasting and optimisation. This will give potential employers a taste of what you can bring to the table.
✨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. Practice explaining complex concepts in simple terms to demonstrate your problem-solving abilities.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Data Scientist in City of 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 us know how you’ve done this!
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 the role. Remember, we want to understand your experience quickly!
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 ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Arrows
✨Know Your Data Science Stuff
Make sure you brush up on your applied data science knowledge, especially in forecasting and optimisation. Be ready to discuss specific projects where you've built production-ready products, as this is what the company is looking for.
✨Get Comfortable with Ambiguity
Since the role requires diving deep into problems, prepare examples of how you've tackled ambiguous situations in the past. Think about times when you had to make decisions without all the data and how you approached those challenges.
✨Showcase Your Technical Skills
Familiarise yourself with the tools mentioned in the job description, like Python, SQL, and cloud platforms like AWS or GCP. Be prepared to discuss your experience with these technologies and how you've used them in real-world applications.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data science processes, team structure, or specific challenges they face in supply chain or logistics. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
