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- Tasks: Develop and prototype data science models to solve real-world problems.
- Company: Dynamic tech firm seeking innovative minds in data science.
- Benefits: Competitive daily rate, hybrid work model, and long-term contracts.
- Why this job: Join a fast-paced team and make an impact with your data skills.
- Qualifications: Experience in applied data science and proficiency in Python and SQL.
- Other info: Opportunity for growth in a collaborative and supportive environment.
Urgent requirement for 5 Senior Data Scientists. Start in the 1st week of February with 12-month rolling contracts. This position is inside IR35 and offers a daily rate of £700-£800. The role is based in the UK with a hybrid model, requiring 1 day in the office per week in London.
Responsibilities:
- Work on production-ready applied data science products.
- Comfortable with ambiguity and able to dive deep to fix problems at scale.
- Develop prototypes of models and perform feature engineering.
Required Skills:
- Python (pandas, numpy, scipy, PySpark)
- SQL
- AWS or GCP (BigQuery / RedShift / Snowflake)
Senior Data Scientist in Leeds employer: Arrows
Contact Detail:
Arrows Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in Leeds
✨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 by brushing up on your technical skills. Make sure you can confidently discuss your experience with Python, SQL, and cloud platforms like AWS or GCP. We want to see you shine!
✨Tip Number 3
Showcase your problem-solving skills! Be ready to share examples of how you've tackled ambiguity in past projects. We love candidates who can dive deep and come up with innovative solutions.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for talented individuals like you to join our team.
We think you need these skills to ace Senior Data Scientist in Leeds
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, so don’t hold back on those specific examples!
Showcase Your Skills: When listing your skills, focus on the tools mentioned in the job description like Python, SQL, and cloud platforms. We’re looking for hands-on experience, so be clear about your proficiency with these technologies.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make it easy for us to see why you’re a great fit for the role.
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 application.
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, like Python, SQL, and cloud platforms. Brush up on your experience with pandas, numpy, and PySpark, as you might be asked to demonstrate your knowledge or solve a problem using these technologies.
✨Showcase Real-World Applications
Prepare to discuss specific projects where you've developed production-ready data science products. Highlight your role in feature engineering and how you tackled ambiguity in those projects. This will show that you can handle the practical aspects of the job.
✨Problem-Solving Mindset
Be ready to dive deep into problem-solving scenarios. Think of examples where you’ve fixed issues at scale and be prepared to explain your thought process. This will demonstrate your ability to navigate complex challenges effectively.
✨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, especially in a hybrid environment.
