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- Tasks: Enhance a GenAI-Powered Digital Assistant through NLP and data visualisation.
- Company: Join a leading financial technology recruiter with exciting projects.
- Benefits: Enjoy a hybrid working model and opportunities for professional growth.
- Why this job: Make an impact in the fintech space while working with cutting-edge technology.
- Qualifications: Proficiency in NLP, data visualisation, Python, and cloud services required.
- Other info: Collaborate with dynamic teams and manage large datasets.
The predicted salary is between 36000 - 60000 £ per year.
A leading financial technology recruiter seeks to hire a Data Scientist to join their client on a GenAI-Powered Digital Assistant project. The role involves collaborating with teams to enhance the digital assistant and requires proficiency in NLP, strong data visualisation skills, and expertise in Python and cloud services.
Candidates should be adept in managing large datasets and deploying models on cloud platforms. This position offers a hybrid working model with local site requirements.
GenAI Data Scientist — NLP & Visualization (Hybrid) in London employer: eFinancialCareers
Contact Detail:
eFinancialCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI Data Scientist — NLP & Visualization (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working with GenAI or in financial tech. 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 NLP projects and data visualisations. This is your chance to demonstrate your expertise in Python and cloud services, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. We recommend practising how you’d explain your approach to managing large datasets and deploying models.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join exciting projects.
We think you need these skills to ace GenAI Data Scientist — NLP & Visualization (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with NLP and data visualisation. We want to see how your skills align with the GenAI-Powered Digital Assistant project, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your expertise in Python and cloud services can contribute to our team. Let us know what makes you the perfect fit!
Showcase Your Projects: If you've worked on any cool projects involving large datasets or model deployment, make sure to mention them. We love seeing practical examples of your work, especially if they relate to the financial technology space!
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 don’t miss out on any important updates regarding your application status!
How to prepare for a job interview at eFinancialCareers
✨Know Your NLP Inside Out
Make sure you brush up on your Natural Language Processing skills. Be ready to discuss specific algorithms, techniques, and projects you've worked on. It’s a good idea to have examples of how you've applied NLP in real-world scenarios, especially in financial contexts.
✨Show Off Your Data Visualisation Skills
Prepare to showcase your data visualisation abilities. Bring along some examples of your work or be ready to discuss how you’ve transformed complex datasets into clear, actionable insights. Familiarity with tools like Tableau or Matplotlib can really set you apart.
✨Get Comfortable with Python and Cloud Services
Since the role requires expertise in Python and cloud platforms, make sure you can talk about your experience with these technologies. Be prepared to answer technical questions or even solve coding challenges on the spot. Practice common Python libraries used in data science, like Pandas and NumPy.
✨Understand the Hybrid Work Model
As this position offers a hybrid working model, think about how you can effectively collaborate with teams both in-person and remotely. Be ready to discuss your strategies for communication and teamwork in a hybrid environment, as this will show your adaptability and commitment.
