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- Tasks: Lead a team of Data Scientists and analyse complex data sets.
- Company: Join a dynamic firm located in the heart of Canary Wharf.
- Benefits: Enjoy competitive pay and potential for contract extension.
- Why this job: Make an impact with your expertise in a vibrant, innovative environment.
- Qualifications: PhD in Maths or Physics and 5-10 years of Data Science experience required.
- Other info: Initial 3-month contract with opportunities for growth.
The predicted salary is between 54000 - 84000 £ per year.
Senior Data Scientist PhD – Canary Wharf
We urgently require a Senior Data Scientist with at least 5 to 10 years proven track record as Data Scientist.
Must have a PhD ideally in Maths or Physics and an excellent understanding of data analytics.
The Client would also like to see experience of managing and leading a team of Data Scientists.
Should have experience of SCALA/SPARK and Hadoop.
Initially this is a 3 month contract assignment in Canary Wharf – with likelihood that it will go on beyond that point.
Location is Canary Wharf London.
Please send your CV to us in Word format along with daily rate.
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Senior Data Scientist PhD – 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 PhD – Canary Wharf
✨Tip Number 1
Make sure to highlight your leadership experience in data science. Since the role requires managing a team, be prepared to discuss specific examples of how you've successfully led projects or mentored junior data scientists.
✨Tip Number 2
Familiarise yourself with SCALA, SPARK, and Hadoop if you haven't already. Brush up on your technical skills and be ready to demonstrate your proficiency during any technical interviews or discussions.
✨Tip Number 3
Network with professionals in the data science field, especially those who have worked in similar roles. Attend meetups or webinars related to data analytics to gain insights and potentially get referrals.
✨Tip Number 4
Research the company and its projects thoroughly. Understanding their data challenges and how your expertise can help solve them will give you an edge in interviews and show your genuine interest in the position.
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, particularly focusing on your PhD in Maths or Physics. Emphasise your track record of managing and leading teams, as well as your proficiency in SCALA, SPARK, and Hadoop.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your specific interest in the role at Canary Wharf. Mention how your skills align with the job requirements and provide examples of your past achievements in data analytics.
Highlight Relevant Projects: In your application, include specific projects where you utilised your data analytics skills. Detail your role, the technologies used, and the impact of your work. This will demonstrate your hands-on experience and problem-solving abilities.
Format Your Documents Correctly: Ensure that your CV and cover letter are in Word format as requested. Use a clean, professional layout and check for any spelling or grammatical errors before submitting your application.
How to prepare for a job interview at Jas Gujral
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with SCALA, SPARK, and Hadoop in detail. Highlight specific projects where you utilised these technologies, as this will demonstrate your hands-on skills and understanding of data analytics.
✨Demonstrate Leadership Experience
Since the role requires managing a team, 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 to achieve their goals.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving questions that assess your analytical thinking. Practice explaining your thought process clearly, as this will show your ability to tackle complex data challenges effectively.
✨Research the Company and Industry
Familiarise yourself with the company’s projects and the industry trends in data science. This knowledge will allow you to ask insightful questions and demonstrate your genuine interest in the role and the organisation.
