Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement data science tools while leading Agile projects.
- Company: Leading financial services company focused on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the world of finance with AI.
- Qualifications: Degree in a quantitative field and skills in AWS, Python, and Java.
- Other info: Emphasis on ethical data practices and leadership development.
The predicted salary is between 30000 - 42000 £ per year.
A leading financial services company seeks a Data Scientist to drive the design and implementation of data science tools. The role involves collaborating with business stakeholders, leading multi-disciplinary teams in Agile projects, and developing machine learning models.
Candidates should possess a degree in a quantitative field and proficiency with AWS tools and programming languages like Python and Java. This position requires leadership skills and a focus on ethical data practices.
AI Data Science Engineer — ML Ops & Analytics in City of London employer: NatWest Group
Contact Detail:
NatWest Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Science Engineer — ML Ops & Analytics in City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial services sector, especially those working with data science. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning models and any projects you've worked on. This is your chance to demonstrate your expertise in Python, Java, and AWS tools—make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on Agile methodologies and ethical data practices. Be ready to discuss how you can lead multi-disciplinary teams and collaborate effectively with business stakeholders—this is key for the role!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to submit your application directly, and it shows you're serious about joining our team. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace AI Data Science Engineer — ML Ops & Analytics in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data science tools and machine learning models. We want to see how your skills align with the role, so don’t be shy about showcasing your proficiency in Python, Java, and AWS.
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 your leadership skills can contribute to our Agile projects. Let us know how you approach ethical data practices too!
Showcase Your Projects: If you've worked on relevant projects, make sure to include them in your application. We love seeing real-world examples of your work, especially those that demonstrate your ability to collaborate with teams and stakeholders.
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 to do!
How to prepare for a job interview at NatWest Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in AWS tools, Python, and Java. Brush up on your coding skills and be ready to discuss specific projects where you've used these technologies. Being able to demonstrate your technical expertise will show that you're the right fit for the role.
✨Showcase Your Leadership Skills
Prepare examples of how you've led teams or projects in the past, especially in Agile environments. Highlight your ability to collaborate with business stakeholders and how you’ve driven successful outcomes. This will help illustrate your leadership capabilities.
✨Understand Ethical Data Practices
Familiarise yourself with ethical data practices and be prepared to discuss their importance in data science. You might be asked about how you ensure compliance and integrity in your work, so having a solid understanding will set you apart.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data science initiatives and how they align with their business goals. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
