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- Tasks: Lead a team of Data Scientists and analyse complex data sets.
- Company: Dynamic firm located in the heart of Canary Wharf.
- Benefits: Competitive daily rate and potential for contract extension.
- Why this job: Join a cutting-edge team and make impactful data-driven decisions.
- Qualifications: PhD in Maths or Physics with extensive data science experience.
- Other info: Exciting opportunity in a vibrant location with career growth potential.
The predicted salary is between 48000 - 72000 £ per year.
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.
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
Network like a pro! Reach out to your connections in the data science field, especially those who might know about opportunities at Canary Wharf. A personal recommendation can make all the difference.
✨Tip Number 2
Prepare for the interview by brushing up on your SCALA, SPARK, and Hadoop skills. We want to show that you’re not just a great Data Scientist but also the perfect fit for leading a team.
✨Tip Number 3
Don’t underestimate the power of a strong online presence. Update your LinkedIn profile to reflect your expertise and experience, and engage with relevant content to get noticed by recruiters.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. 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 PhD – Canary Wharf
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, especially your PhD and any relevant projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Showcase Leadership Experience: Since the role involves managing a team, it’s crucial to mention any leadership roles you've had. We’re looking for evidence of your ability to lead and inspire a team of Data Scientists, so share those experiences!
Highlight Technical Skills: Don’t forget to emphasise your expertise in SCALA, SPARK, and Hadoop. We need to know you’ve got the technical chops to handle the job, so make sure these skills are front and centre in your application.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy!
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 deep understanding of 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 the role involves managing a team, be prepared to share examples of how you've successfully led teams in the past. Highlight your approach to mentoring junior data scientists and how you foster collaboration within your team.
✨Prepare for Technical Questions
Expect technical questions that test your analytical skills and problem-solving abilities. Practice explaining complex concepts in simple terms, as you may need to communicate your findings to non-technical stakeholders.
✨Research the Company and Its Culture
Understanding the company’s values and culture is crucial. Familiarise yourself with their recent projects and how they utilise data science. This will help you tailor your responses and show that you're genuinely interested in contributing to their success.
