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- Tasks: Develop prototypes and engineer features for cutting-edge data science projects.
- Company: Leading data science firm in the UK with a focus on innovation.
- Benefits: Attractive day rate, hybrid work model, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the data science field.
- Qualifications: Experience in Python, SQL, and cloud services is essential.
- Other info: 12-month rolling contracts with flexible working arrangements.
A leading data science firm in the UK urgently seeks 5 Senior Data Scientists for a project starting in the first week of February. These 12-month rolling contracts offer a hybrid work model, requiring 1 day in the office per week in London.
Candidates should have experience with applied data science products, particularly in developing prototypes and feature engineering. The day rate ranges from £700 to £800, and a background in Python, SQL, and cloud services is required.
Senior Data Scientist - Production ML (Hybrid UK, 12mo) in Leeds employer: Arrows
Contact Detail:
Arrows Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Production ML (Hybrid UK, 12mo) 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. You never know who might have a lead on that perfect Senior Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving Python, SQL, and cloud services. 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 knowledge and problem-solving skills. Practice common data science interview questions and be ready to discuss your experience with feature engineering and prototype development.
✨Tip Number 4
Don't forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates. Let's get you that Senior Data Scientist gig!
We think you need these skills to ace Senior Data Scientist - Production ML (Hybrid UK, 12mo) in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with applied data science products. We want to see how you've developed prototypes and done feature engineering, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. We love seeing enthusiasm for the project and how your skills align with our needs.
Showcase Relevant Skills: Don’t forget to mention your expertise in Python, SQL, and cloud services. We’re looking for candidates who can hit the ground running, so make sure these skills are front and centre in your application.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
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 around developing prototypes and feature engineering. Be ready to discuss specific projects you've worked on and how you tackled challenges using Python, SQL, and cloud services.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate your analytical thinking and problem-solving abilities. Think of examples where you've used data to drive decisions or improve processes, and be ready to explain your thought process clearly.
✨Familiarise Yourself with the Company
Do a bit of homework on the firm you're interviewing with. Understand their products, culture, and recent projects. This will help you tailor your answers and show that you're genuinely interested in being part of their team.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask at the end of the interview. This could be about their current projects, team dynamics, or future goals. It shows you're engaged and helps you assess if the company is the right fit for you.
