At a Glance
- Tasks: Lead a team of Data Scientists and develop innovative data models.
- Company: Dynamic consultancy based in the heart of Canary Wharf.
- Benefits: Competitive daily rate with potential for contract extension.
- Why this job: Join a leading consultancy and make an impact in data analytics.
- Qualifications: PhD and 5-10 years of experience in data science required.
- Other info: Exciting opportunity to work with cutting-edge technologies.
The predicted salary is between 60000 - 84000 £ per year.
A London-based consultancy is seeking a Senior Data Scientist for a 3-month contract assignment in Canary Wharf, with potential for extension. The ideal candidate will have a PhD, 5 to 10 years of experience in data science, and a solid understanding of data analytics. Leadership experience is crucial, along with expertise in SCALA, SPARK, and Hadoop.
The role involves developing data models and leading a team of Data Scientists. Please send your CV along with your desired daily rate.
Senior Data Scientist – Lead Analytics (Contract, Canary Wharf) employer: Jas Gujral
Contact Detail:
Jas Gujral Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist – Lead Analytics (Contract, Canary Wharf)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who might know about opportunities at consultancies. A personal recommendation can make all the difference.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Since this role requires expertise in SCALA, SPARK, and Hadoop, make sure you can confidently discuss your experience with these technologies.
✨Tip Number 3
Showcase your leadership experience! Be ready to share examples of how you've led teams or projects in the past. This will help demonstrate that you're not just a data whiz but also a great team player.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. 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 – Lead Analytics (Contract, Canary Wharf)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data science, especially your leadership roles and expertise in SCALA, SPARK, and Hadoop. We want to see how your background aligns with the job description!
Showcase Your Achievements: Don’t just list your responsibilities; share specific achievements that demonstrate your impact in previous roles. We love seeing quantifiable results that show how you’ve led teams and developed successful data models.
Be Clear About Your Daily Rate: Since the job requires you to include your desired daily rate, be upfront and clear about it in your application. This helps us understand your expectations right from the start!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and keep track of all the amazing candidates like you!
How to prepare for a job interview at Jas Gujral
✨Know Your Data Inside Out
As a Senior Data Scientist, you’ll need to demonstrate your expertise in data analytics. Brush up on your knowledge of SCALA, SPARK, and Hadoop. Be ready to discuss specific projects where you've applied these technologies and the impact they had.
✨Showcase Your Leadership Skills
Since leadership experience is crucial for this role, prepare examples that highlight your ability to lead a team. Think about challenges you've faced as a leader and how you overcame them. This will show that you can guide a team of Data Scientists effectively.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and analytical thinking. Practice explaining complex data models and algorithms clearly and concisely. This will help you convey your thought process during the interview.
✨Discuss Your Vision for the Role
Be ready to share your vision for the Senior Data Scientist position. Think about how you would approach developing data models and leading a team. This shows your enthusiasm for the role and your strategic thinking capabilities.