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- Tasks: Dive deep into data science projects and solve real-world problems at scale.
- Company: Join a dynamic team in a leading tech environment with a focus on applied data science.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for professional growth.
- Why this job: Make an impact in supply chain and logistics while working with cutting-edge technologies.
- Qualifications: Experience in applied data science, forecasting, and optimisation is essential.
- Other info: 12-month rolling contracts with a collaborative and innovative 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 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 Slough employer: Arrows
Contact Detail:
Arrows Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in Slough
✨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 previous projects, especially those involving forecasting or optimisation in Supply Chain or Logistics. 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. We want to see how you tackle real-world problems, so think of examples that highlight your problem-solving abilities.
✨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 candidates who are proactive about their job search. So, get your application in and let’s get you started on this exciting journey!
We think you need these skills to ace Senior Data Scientist in Slough
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 let us know how you’ve used these tools in your previous roles.
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 see your problem-solving skills shine through!
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 technologies mentioned in the job description. Brush up on Python libraries like pandas and numpy, and be ready to discuss how you've used them in production-ready data science products.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in the past, especially in supply chain or logistics. Be ready to explain your thought process and the impact of your solutions.
✨Familiarise Yourself with Cloud Platforms
Since experience with AWS or GCP is crucial, ensure you can talk about your hands-on experience with these platforms. Highlight any projects where you’ve used BigQuery, RedShift, or Snowflake to manage data effectively.
✨Embrace Ambiguity
Demonstrate your comfort with ambiguity by discussing situations where you had to navigate uncertainty. Share how you approached these challenges and what strategies you employed to find clarity and drive results.
