At a Glance
- Tasks: Develop innovative AI models and explore cutting-edge data science trends.
- Company: Join Curve, a forward-thinking consultancy transforming consumer data into insights.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborate with a dynamic team of experts in a fast-paced environment.
- Why this job: Make a real impact by unlocking consumer opportunities with advanced technology.
- Qualifications: Experience in Python and a passion for data science and AI.
The predicted salary is between 36000 - 60000 £ per year.
Curve is a next-gen insights, analytics and technology consultancy that leverages digital consumer data and advanced technology to help businesses unlock consumer opportunities. Digital consumer data is powerful; it’s big, it’s real, and it’s always updating. We use a combination of in-house technology and bespoke solutions, powered by AI, to transform data from sources such as Social, Reviews, Search, and broader marketing and sales data. These reveal fresh insights for our clients; helping them to build better products and brands, to deliver effective marketing to consumers.
What You’ll Be Doing
- Develop innovative data science models and prototypes in Python, from scratch
- Proactively research, experiment with, and share the latest trends in data science, AI and NLP
- Translate unstructured business problems into clear requirements
- Interrogate and data mine rich digital consumer data sources such as social posts, search engine data, product reviews, clickstream data and beyond
- Proactively and continuously identify and propose ways to improve the impact of our data solutions
- Explore new and novel ways to understand and enrich digital consumer data sources
- Work closely with an amazing cross-functional Curve team from specialists in data science
AI Engineer employer: Curve Analytics
At Curve, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As an AI Engineer, you'll have access to cutting-edge technology and the opportunity to work alongside talented professionals in a dynamic environment that encourages continuous learning and growth. Our commitment to employee development, coupled with our focus on leveraging digital consumer data to drive impactful insights, makes Curve a rewarding place to advance your career while making a meaningful difference for our clients.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow AI enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science models and prototypes. Share your projects on GitHub or even write about your experiments in AI and NLP on LinkedIn to grab attention.
✨Tip Number 3
Tailor your approach! When reaching out to companies, mention specific projects or technologies they use that excite you. This shows you’ve done your homework and are genuinely interested in their work.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications come directly from passionate candidates. Plus, it gives you a chance to stand out right from the start!
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and data science shine through. We want to see how you’ve engaged with the latest trends and technologies, so don’t hold back on sharing your experiences and projects!
Tailor Your Application:Make sure to customise your application to fit the role of AI Engineer. Highlight your skills in Python and any relevant experience with data science models. We love seeing how your background aligns with what we do at Curve!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure to articulate your thoughts well and avoid jargon unless it’s necessary. Remember, we’re looking for innovative thinkers who can communicate effectively!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at Curve!
How to prepare for a job interview at Curve Analytics
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the latest trends in AI, data science, and NLP. Brush up on your knowledge of data mining techniques and be ready to discuss how you've applied them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to translate complex business problems into clear, actionable requirements. Think of examples where you've successfully tackled unstructured data challenges and be ready to share your thought process during the interview.
✨Stay Current with Industry Trends
Research recent advancements in digital consumer data analytics and AI technologies. Being able to discuss these trends will show your passion for the field and your proactive approach to learning.
✨Collaborate and Communicate
Since you'll be working with a cross-functional team, highlight your teamwork and communication skills. Prepare examples of how you've collaborated with others to achieve a common goal, especially in tech-related projects.
