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- Tasks: Prototype and test new methods, develop ML pipelines, and enhance risk models.
- Company: Leading recruitment agency in the financial services sector.
- Benefits: Competitive daily rate of £500-550 and flexible working arrangements.
- Other info: 6-month contract with great opportunities for professional growth.
- Why this job: Make a real impact in a global context while working with cutting-edge technology.
- Qualifications: Experience with Python or R, querying large datasets, and developing NLP models.
The predicted salary is between 100000 - 120000 £ per year.
A leading recruitment agency is seeking a Data Scientist for a 6-month contract in financial services. You will prototype and test new methods, develop ML and data pipelines, and improve risk models.
Essential experience includes:
- Querying large datasets
- Using Python or R
- Developing NLP models
Offering a competitive daily rate of £500-550 and flexible working arrangements in Canary Wharf. Great opportunity to make an impact in a global context.
Data Scientist - NLP, ML & Risk Models (Hybrid, London) employer: Page Personnel
Contact Detail:
Page Personnel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - NLP, ML & Risk Models (Hybrid, London)
✨Tip Number 1
Network like a pro! Reach out to people in the financial services sector, especially those working with NLP and ML. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to data science, especially those involving risk models and large datasets. This will give you an edge when discussing your experience.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python or R, and have examples of how you've developed NLP models or improved data pipelines.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can sometimes get you noticed faster. Let’s land that job together!
We think you need these skills to ace Data Scientist - NLP, ML & Risk Models (Hybrid, London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python or R, and any work you've done with NLP models. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects!
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 financial services and how you can contribute to improving risk models. Keep it concise but impactful!
Showcase Your Projects: If you've worked on any interesting data pipelines or ML prototypes, make sure to mention them. We love seeing real-world applications of your skills, so include links to your GitHub or any relevant portfolios.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on this fantastic opportunity in Canary Wharf!
How to prepare for a job interview at Page Personnel
✨Know Your Data Inside Out
Before the interview, make sure you’re familiar with the types of datasets you might be working with. Brush up on your querying skills and be ready to discuss how you've handled large datasets in the past. This will show that you understand the core of what the role entails.
✨Showcase Your Python and R Skills
Prepare to demonstrate your proficiency in Python or R during the interview. You might be asked to solve a problem on the spot, so practice coding challenges related to data manipulation and machine learning. Highlight any projects where you’ve developed ML models or data pipelines.
✨NLP Knowledge is Key
Since the role involves developing NLP models, be ready to discuss your experience with natural language processing. Bring examples of past projects where you’ve implemented NLP techniques, and be prepared to explain your approach and the results you achieved.
✨Understand Risk Models
Familiarise yourself with risk modelling concepts relevant to financial services. Be prepared to discuss how you would improve existing risk models and what methodologies you would use. Showing that you can think critically about risk in a financial context will set you apart.