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For Companies At a Glance
- Tasks: Analyse data to deliver fast, actionable insights for bankers using predictive analytics.
- Company: Join emagine, a leading consultancy in the financial services sector.
- Benefits: Competitive daily rate, hybrid work model, and a supportive team environment.
- Why this job: Make a real impact by enhancing operational efficiency with your data skills.
- Qualifications: Experience in predictive analytics, Python, and BigQuery is essential.
- Other info: Be part of a culture that values openness, integrity, and professional growth.
£700 - £750pd. Join a dynamic team supporting the Innovation Banking arm of Commercial Banking as a Data Scientist. London - Hybrid. The role emphasizes the delivery of daily, fast-turnaround reports and requires 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 modeling.
- 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.
Data Scientist employer: emagine
Contact Detail:
emagine Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that Data Scientist gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive analytics projects, especially those using Python and BigQuery. We want to see your work in action, so make it easy for potential employers to see what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss how you've used data to drive actionable insights. We recommend practicing common interview questions and even doing mock interviews with friends or mentors.
✨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 apply directly. Let’s get you that Data Scientist role!
We think you need these skills to ace Data Scientist
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 and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Analytical Skills: In your application, give examples of how you've used data to drive insights. We’re looking for candidates who can translate complex data into actionable recommendations, so make sure to highlight those experiences.
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 – just a few clicks and you’re done!
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 help you connect your experience with the role.
✨Brush Up on Business Language
Since the role involves interpreting business requests, practice translating technical jargon into business-friendly language. Prepare to explain how your data-driven insights can enhance operational efficiency in a way that resonates with bankers and stakeholders.
✨Familiarise Yourself with Agile Methodologies
As the position requires collaboration in an agile team environment, be prepared to discuss your experience working in such settings. Think of examples where you adapted to changing reporting requests and how you contributed to team success.
✨Prepare Questions That Show Your Interest
Have a few thoughtful questions ready about the team dynamics, the types of reports you'll be generating, or how success is measured in this role. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values.
