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- Tasks: Enhance a GenAI-Powered Digital Assistant through NLP and data visualisation.
- Company: Join a leading financial technology recruiter with innovative projects.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Why this job: Make an impact in the fintech space while working with cutting-edge AI technologies.
- Qualifications: Proficiency in NLP, data visualisation, Python, and cloud services required.
- Other info: Collaborative environment with a focus on managing 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) employer: eFinancialCareers
Contact Detail:
eFinancialCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI Data Scientist — NLP & Visualization (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with GenAI and NLP. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisation projects and any NLP models you've worked on. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and cloud services knowledge. Be ready to discuss how you've managed large datasets and deployed models. Confidence is key, so practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining the team!
We think you need these skills to ace GenAI Data Scientist — NLP & Visualization (Hybrid)
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. Keep it engaging and personal!
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 financial technology or digital assistants.
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. Plus, we love seeing applications come in through our own platform!
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 techniques you've used in past projects, and how they can be applied to enhance the digital assistant. Having examples at hand will show your expertise.
✨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 data into clear, actionable insights. This will demonstrate your capability to communicate findings effectively.
✨Get Comfortable with Python and Cloud Services
Since proficiency in Python and cloud services is key, make sure you're familiar with relevant libraries and frameworks. Be prepared to answer technical questions or even solve coding challenges during the interview to prove your skills.
✨Understand the Hybrid Work Model
As this role offers a hybrid working model, think about how you can effectively collaborate with teams both in-person and remotely. Be ready to discuss your experience with remote teamwork and how you manage communication and productivity in such settings.
