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- Tasks: Develop impactful AI and data-science solutions for real-world challenges.
- Company: Dynamic data analytics firm based in Bristol.
- Benefits: Collaborative environment with fast progression opportunities.
- Why this job: Work closely with world-class clients and cutting-edge technologies.
- Qualifications: 3-5 years of experience in AI, strong programming skills in Python, SQL, and Snowflake.
- Other info: Join a team focused on innovative data models.
The predicted salary is between 30000 - 42000 £ per year.
A data analytics firm based in Bristol seeks an experienced AI Consultant to develop impactful AI and data-science solutions. You'll join a dynamic team focused on solving real-world challenges through innovative data models.
The ideal candidate has:
- 3-5 years of experience
- Strong programming skills in Python, SQL, and Snowflake
- Excellent communication abilities
You’ll enjoy a collaborative environment with fast progression opportunities while working closely with world-class clients and technologies.
AI & Data Scientist – Real-World ML in Bristol employer: Snap Analytics
Contact Detail:
Snap Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI & Data Scientist – Real-World ML in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. 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 AI and data science projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the competition.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI and data science. We recommend doing mock interviews with friends or using online platforms to get comfortable with articulating your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI & Data Scientist – Real-World ML in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and data science, especially with Python, SQL, and Snowflake. We want to see how your skills align with the real-world challenges we tackle at StudySmarter.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data analytics and how you can contribute to our dynamic team. Let us know why you're excited about solving real-world problems with us.
Showcase Your Communication Skills: Since excellent communication is key, make sure your application reflects this. Use clear and concise language, and don’t hesitate to share examples of how you've effectively communicated complex ideas in the past.
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 shows you’re keen on joining our team!
How to prepare for a job interview at Snap Analytics
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills, especially in Python, SQL, and Snowflake. Be ready to discuss specific projects where you've used these technologies to solve real-world problems. This will show that you not only understand the tools but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about the methodologies you used and the impact your solutions had. This will demonstrate your ability to think critically and innovate, which is key for an AI Consultant role.
✨Communicate Clearly and Confidently
Since excellent communication is a must-have, practice explaining your technical work in simple terms. You might be asked to present your ideas to non-technical stakeholders, so being able to convey complex concepts clearly will set you apart.
✨Research the Company and Its Clients
Familiarise yourself with the firm’s mission and the types of clients they work with. Understanding their focus on real-world challenges will help you tailor your answers and show that you're genuinely interested in contributing to their goals.
