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- Tasks: Dive deep into data science, solving real-world problems in supply chain and logistics.
- Company: Join a dynamic team in a hybrid London-based tech environment.
- Benefits: Competitive daily rate, flexible working, and opportunities for professional growth.
- Why this job: Make an impact with your data skills on production-ready projects.
- Qualifications: Experience in applied data science, forecasting, and optimisation is essential.
- Other info: Fast-paced role with a focus on practical solutions and collaboration.
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 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 City of London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Arrows 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. Sometimes, a friendly nudge can lead to a referral that gets you in the door.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with applied data science products. We want to see how you've tackled real-world problems, so have some examples up your sleeve.
✨Tip Number 3
Showcase your problem-solving skills! When discussing your past projects, focus on how you approached ambiguity and delivered solutions at scale. This is what will set you apart from the crowd.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Scientist - Arrows 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 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 you’ve achieved in previous roles that aligns with our needs.
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.
How to prepare for a job interview at Jobster
✨Know Your Tech Stack
Make sure you’re well-versed in the tools mentioned in the job description, like Python, SQL, and AWS or GCP. Brush up on your experience with libraries like pandas and PySpark, as well as any relevant frameworks. Being able to discuss specific projects where you've used these technologies will show you're ready for the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data science problems, especially in supply chain or logistics. Think about times when you had to deal with ambiguity and how you approached those challenges. This will demonstrate your ability to dive deep and fix problems at scale, which is crucial for this position.
✨Understand the Business Context
Familiarise yourself with the business side of data science. Be ready to discuss how your work can impact the bottom line, particularly in forecasting and optimisation. Showing that you understand the practical applications of your skills will set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, the projects, and the company culture. This not only shows your interest but also helps you gauge if the environment is a good fit for you. Asking about their current challenges in data science can also give you a chance to showcase your expertise.
