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- Tasks: Lead the design and operation of advanced analytics and ML systems in finance.
- Company: Top financial services firm in the UK with a focus on innovation.
- Benefits: Comprehensive benefits and a strong commitment to employee well-being.
- Why this job: Make a significant impact in a high-pressure, regulated environment with cutting-edge technology.
- Qualifications: 20+ years of data science experience and strong technical skills required.
- Other info: Collaborative culture with opportunities for professional growth.
The predicted salary is between 72000 - 108000 £ per year.
A leading financial services firm based in the UK is seeking a Data Scientist Leader to oversee the design, development, and operation of advanced analytics and ML systems.
Candidates should have over 20 years of experience in data science and thrive in high-pressure, regulated environments.
This role requires strong technical skills, effective collaboration with engineering teams, and a commitment to producing reliable, transparent models.
Comprehensive benefits and a commitment to employee well-being are also part of the offer.
Head of Production ML & Data Science (Finance) in City of Westminster employer: S&P Global, Inc.
Contact Detail:
S&P Global, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Production ML & Data Science (Finance) in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and data science sectors. Attend industry events or webinars to meet potential employers and showcase your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with ML systems and analytics in detail, as well as how you’ve thrived in high-pressure environments.
✨Tip Number 3
Showcase your leadership skills! Be prepared to share examples of how you've successfully led teams and collaborated with engineering departments to deliver reliable models.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed and shows your commitment to joining our team.
We think you need these skills to ace Head of Production ML & Data Science (Finance) in City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences that align with the Head of Production ML & Data Science role. Highlight your 20+ years in data science and any relevant projects that showcase your ability to thrive in high-pressure environments.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you the perfect fit. Don’t forget to mention your commitment to producing reliable and transparent models.
Showcase Collaboration Skills: Since this role involves working closely with engineering teams, make sure to include examples of successful collaborations in your application. We want to see how you’ve effectively worked with others to achieve common goals in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at S&P Global, Inc.
✨Know Your Stuff
Make sure you brush up on your technical skills, especially in machine learning and data science. Be ready to discuss specific projects you've led or contributed to, focusing on the challenges you faced and how you overcame them.
✨Showcase Your Leadership
As a Head of Production, you'll need to demonstrate your leadership abilities. Prepare examples of how you've successfully managed teams, collaborated with engineering departments, and driven projects to completion in high-pressure environments.
✨Understand the Financial Landscape
Since this role is within a financial services firm, it's crucial to have a solid understanding of the finance sector. Familiarise yourself with current trends, regulations, and how data science can impact financial decision-making.
✨Prepare Questions
Interviews are a two-way street! Prepare insightful questions about the company's approach to data science, their expectations for the role, and how they support employee well-being. This shows your genuine interest and helps you assess if it's the right fit for you.
