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- Tasks: Lead a team of Data Scientists and analyze complex data sets.
- Company: Join a dynamic team in the heart of Canary Wharf, London.
- Benefits: Initial 3-month contract with potential for extension.
- Why this job: Make an impact with your expertise in a fast-paced environment.
- Qualifications: PhD in Maths or Physics and 5-10 years of Data Science experience required.
- Other info: Experience with SCALA/SPARK and Hadoop is essential.
The predicted salary is between 48000 - 72000 £ per year.
Job Description
Position: Senior Data Scientist PhD – Canary Wharf
We urgently require a Senior Data Scientist with at least 5 to 10 years proven track record as a Data Scientist.
Qualifications:
- Must have a PhD ideally in Maths or Physics.
- Excellent understanding of data analytics.
- Experience managing and leading a team of Data Scientists.
- Experience with SCALA/SPARK and Hadoop.
This is initially a 3-month contract assignment in Canary Wharf, with the likelihood of extension.
Location: Canary Wharf, London.
Please send your CV to us in Word format along with your daily rate.
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Senior Data Scientist PhD- Canary Wharf employer: Onyx-Conseil
Contact Detail:
Onyx-Conseil Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist PhD- Canary Wharf
✨Tip Number 1
Make sure to highlight your experience with SCALA/SPARK and Hadoop in your conversations. These technical skills are crucial for the role, and demonstrating your proficiency can set you apart from other candidates.
✨Tip Number 2
Prepare to discuss your leadership experience in detail. Since the position requires managing a team of Data Scientists, showcasing your ability to lead and mentor others will be key during interviews.
✨Tip Number 3
Familiarize yourself with the latest trends in data analytics and be ready to share your insights. This shows that you are not only experienced but also passionate about the field and committed to continuous learning.
✨Tip Number 4
Network with professionals in the Canary Wharf area or those who work in similar roles. Building connections can provide valuable insights and potentially lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Senior Data Scientist PhD- Canary Wharf
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience as a Data Scientist, especially your PhD in Maths or Physics. Emphasize your understanding of data analytics and any leadership roles you've held.
Showcase Technical Skills: Clearly list your experience with SCALA/SPARK and Hadoop in your application. Provide specific examples of projects where you utilized these technologies to demonstrate your expertise.
Include Your Daily Rate: Since the job description requests your daily rate, be sure to include this information in your application. Make it clear and concise to avoid any confusion.
Use Professional Formatting: Submit your CV in Word format as requested. Ensure that your document is well-organized, easy to read, and free of any grammatical errors to make a strong impression.
How to prepare for a job interview at Onyx-Conseil
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with SCALA, SPARK, and Hadoop in detail. Highlight specific projects where you utilized these technologies and the impact they had on your previous teams or organizations.
✨Demonstrate Leadership Skills
Since the role involves managing a team of Data Scientists, be ready to share examples of how you've successfully led teams in the past. Discuss your leadership style and how you motivate and guide your team members.
✨Highlight Your Academic Background
With a PhD in Maths or Physics being a requirement, make sure to articulate how your academic research has contributed to your practical skills in data analytics. Discuss any relevant publications or projects that showcase your expertise.
✨Prepare for Behavioral Questions
Expect questions that assess your problem-solving abilities and how you handle challenges. Use the STAR method (Situation, Task, Action, Result) to structure your responses and provide clear, concise examples from your past experiences.
