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- Tasks: Transform prototypes into scalable ML pipelines and automate data-quality processes.
- Company: Leading financial services firm partnering with top investment banks.
- Benefits: Up to £100k salary, great benefits, and hybrid working in Central London.
- Why this job: Join a growing team and make a real impact in the finance sector.
- Qualifications: 2+ years in Data Science, proficiency in Python & SQL, AWS experience.
- Other info: Exciting career growth opportunities in a dynamic environment.
The predicted salary is between 72000 - 108000 £ per year.
I've partnered with a leader in the Financial Services industry, who are partnered with some of the globe's largest Investment Banks & Trading firms, undertaking a period of growth across their Data team, and are therefore looking to add a highly skilled Data Scientist. My client is looking for a proactive, analytically focused Data Scientist to automate and improve data-quality processes used in the production of aggregated analytical outputs. The role involves transforming an existing prototype into a scalable machine-learning pipeline, replacing a significant amount of manual anomaly detection with robust automated methods.
Responsibilities / Requirements
- Minimum of 2+ years in a Data Science, ML or Quantitative based role
- Proficiency in Python & SQL
- Experience working with AWS
- Production level experience in ML Model deployment, monitoring and maintenance
- A strong academic background in a highly quantitative field with MSc/PhD's being preferred
- An understanding of the financial services industry, products, quantitative concepts and overall domain knowledge is highly beneficial
Salary - Pays up to £100k depending on skills and experience, along with a great benefits package
Hybrid working - 3-days a week in a Central London office
3-stage interview process
To be considered, you must be UK based and sadly sponsorship isn't available.
ML/Data Scientist - Up to £100k - Finance employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML/Data Scientist - Up to £100k - Finance
✨Tip Number 1
Network like a pro! Reach out to connections in the finance and data science sectors. Attend meetups or webinars, and don’t be shy about asking for informational interviews. You never know who might have a lead on that perfect role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and ML models. Share it on platforms like GitHub or even your LinkedIn profile. This gives potential employers a taste of what you can do!
✨Tip Number 3
Prepare for those interviews! Research common data science interview questions, especially around ML model deployment and AWS. Practice explaining your thought process clearly and confidently. We want you to shine when it’s your turn to impress!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for talented individuals like you to join our growing team in the finance sector. Don’t miss out!
We think you need these skills to ace ML/Data Scientist - Up to £100k - Finance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Science, ML, 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 the financial services industry and how your background makes you a perfect fit for our team. Keep it concise but impactful!
Showcase Your Technical Skills: Since we’re looking for someone with strong technical abilities, make sure to mention your experience with AWS and ML model deployment. We love seeing specific examples of how you've used these skills in past roles.
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 Oliver Bernard
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've deployed ML models, especially in a production environment. This will show that you not only understand the theory but can also apply it practically.
✨Understand the Financial Landscape
Since this role is in the finance sector, it's crucial to have a solid grasp of financial concepts and products. Familiarise yourself with how data science is applied in finance, and be prepared to discuss how your skills can add value to their operations.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles, particularly around data quality and anomaly detection. Highlight how you've automated processes or improved workflows, as this aligns perfectly with what they're looking for.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about their current data projects, the tools they use, or how they envision the growth of their data team. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
