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For Companies At a Glance
- Tasks: Analyse data to deliver actionable insights and support banking operations.
- Company: Join emagine, a leading consultancy in the financial services sector.
- Benefits: Competitive daily rate, hybrid work model, and a supportive team culture.
- Why this job: Make a real impact with your data skills in a dynamic banking environment.
- Qualifications: Experience in predictive analytics, Python, and BigQuery required.
- Other info: Embrace a culture of openness and integrity while advancing your career.
The predicted salary is between 50400 - 63000 £ per year.
Join a dynamic team supporting the Innovation Banking arm of Commercial Banking as a Data Scientist. The role emphasizes the delivery of daily, fast-turnaround reports and requires a strong expertise in predictive analytics, proficient use of Python and BigQuery. This position focuses on delivering actionable insights to enhance operational efficiency, rather than engaging in transformational activities.
Main Responsibilities:
- Analyze historical data to provide forward-looking predictions for bankers.
- Utilize predictive analytics and statistical models to derive insights.
- Work with structured BAU data in BigQuery and GCP environments.
- Collaborate in an agile team environment to address changing reporting requests.
- Provide actionable insights for BAU reporting through complex analysis.
Key Requirements:
- Proven experience in predictive analytics and statistical modelling.
- Proficiency in Python for data manipulation and automation.
- Experience working with BigQuery and Google Cloud Platform (GCP).
- Ability to interpret business requests and translate them into technical solutions.
- Strong analytical skills with a focus on delivering actionable insights.
If you are up to the challenge and would like to find out more, get in touch with us immediately; our internal recruitment team is always keen to hear from dynamic individuals that are looking to further their career and explore their full potential.
emagine is an equal opportunity employer, and employment practices are based strictly on merit.
Data Scientist (h/f) employer: emagine
Contact Detail:
emagine Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (h/f)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive analytics projects, especially those using Python and BigQuery. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as communication is key in delivering actionable insights.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates ready to make an impact!
We think you need these skills to ace Data Scientist (h/f)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in predictive analytics and Python. 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 in banking and how you can contribute to our team. Keep it concise but impactful!
Showcase Your Analytical Skills: In your application, give examples of how you've used data to drive insights. We love seeing real-world applications of your skills, especially if they relate to operational efficiency!
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at emagine
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving predictive analytics and statistical modelling. Be ready to discuss specific examples where you used Python and BigQuery to derive actionable insights. This will show your expertise and how you can contribute to their team.
✨Brush Up on Your Technical Skills
Make sure you're comfortable with Python and BigQuery. Practise coding challenges or data manipulation tasks that could come up during the interview. Being able to demonstrate your technical skills on the spot can really set you apart from other candidates.
✨Understand Their Business Needs
Research emagine and their role in the financial services sector. Understand their focus on operational efficiency and how your skills can help them achieve this. Tailoring your answers to align with their goals will show that you’re not just a fit for the role, but also for their company culture.
✨Prepare for Agile Collaboration Questions
Since the role involves working in an agile team environment, be prepared to discuss your experience collaborating with others. Think of examples where you adapted to changing requirements and how you contributed to team success. This will highlight your flexibility and teamwork skills.
