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- Tasks: Analyse data and deliver actionable insights using Python and BigQuery.
- Company: Dynamic consultancy firm in Greater London with a focus on innovation.
- Benefits: Competitive pay of £700 to £750 per day and hybrid work options.
- Why this job: Join an agile team and make a real impact in predictive analytics.
- Qualifications: Strong expertise in predictive analytics, Python, and BigQuery required.
- Other info: Exciting opportunity for career growth in a fast-paced environment.
A consultancy firm in Greater London is seeking a Data Scientist to join their Innovation Banking team. The ideal candidate will have strong expertise in predictive analytics, Python, and BigQuery, focusing on delivering actionable insights and fast-turnaround reports. This hybrid role requires collaboration within an agile team to analyze data and provide forward-looking predictions that enhance operational efficiency. Competitive pay from £700 to £750 per day is offered.
Predictive Analytics Data Scientist - Python & BigQuery employer: emagine
Contact Detail:
emagine Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Predictive Analytics Data Scientist - Python & BigQuery
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive analytics projects using Python and BigQuery. We want to see your work in action, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on common data science questions and be ready to discuss your past experiences. We recommend practicing with a friend or even in front of the mirror to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. We’re always on the lookout for talented individuals like you, so don’t hesitate to hit that apply button!
We think you need these skills to ace Predictive Analytics Data Scientist - Python & BigQuery
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with predictive analytics, Python, and BigQuery. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our Innovation Banking team. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've used data to solve real-world problems. We’re looking for actionable insights, so share any fast-turnaround reports you’ve delivered that made a difference!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at emagine
✨Know Your Tech Inside Out
Make sure you brush up on your Python and BigQuery skills before the interview. Be ready to discuss specific projects where you've used these tools, and think about how you can explain complex concepts in a simple way.
✨Showcase Your Predictive Analytics Experience
Prepare examples of how you've applied predictive analytics in past roles. Highlight any actionable insights you've delivered and how they impacted decision-making or operational efficiency.
✨Emphasise Team Collaboration
Since this role involves working within an agile team, be prepared to discuss your experience collaborating with others. Share examples of how you've contributed to team success and adapted to changing project requirements.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects, team dynamics, or how they measure the success of their predictive analytics initiatives.
