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- Tasks: Drive data-driven solutions using ML and GenAI while advising clients on AI strategies.
- Company: Dynamic consulting firm focused on innovation and collaboration.
- Benefits: Flexible work options, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in AI while working with cutting-edge technology.
- Qualifications: 3-6 years of experience in production environments with strong Python and SQL skills.
- Other info: Join a collaborative team that values innovation and offers career advancement.
The predicted salary is between 36000 - 60000 £ per year.
A consulting firm is seeking a Data AI Consultant to drive data-driven solutions using ML and GenAI. The ideal candidate will have 3-6 years of experience in production environments and strong skills in Python and SQL.
Responsibilities include:
- Advising clients on AI solutions
- Designing production-ready systems
- Coaching junior team members
This role offers flexibility with onsite, hybrid, or remote options across the UK or Netherlands, fostering a collaborative and innovative environment.
Production AI & Data Consultant (Remote/Hybrid) employer: Staffworx
Contact Detail:
Staffworx Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production AI & Data Consultant (Remote/Hybrid)
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and data space. Attend meetups or webinars, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and SQL. Whether it's a GitHub repo or a personal website, let us see your work in action. This is your chance to shine and demonstrate your expertise in production environments.
✨Tip Number 3
Prepare for those interviews! Research the company and think about how your experience aligns with their needs. We recommend practising common interview questions related to AI solutions and production systems. Confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged. Don’t hesitate – hit that apply button and let’s get you on board!
We think you need these skills to ace Production AI & Data Consultant (Remote/Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in production environments and your skills in Python and SQL. We want to see how your background aligns with the role of a Data AI Consultant, 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 passionate about AI solutions and how you can drive data-driven results for our clients. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We’re looking for someone who can design production-ready systems, so share any relevant experiences that demonstrate your problem-solving prowess!
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’s super easy – just follow the prompts and let us know why you’d be a great fit!
How to prepare for a job interview at Staffworx
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've implemented machine learning or generative AI solutions, as this will show your practical experience in production environments.
✨Showcase Your Consulting Skills
Since the role involves advising clients, prepare examples of how you've successfully communicated complex data-driven solutions to non-technical stakeholders. This will demonstrate your ability to bridge the gap between technical and business needs.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or design systems on the spot. Practise articulating your thought process clearly, as this will highlight your analytical skills and ability to think on your feet.
✨Emphasise Team Collaboration
As you'll be coaching junior team members, be ready to discuss your mentoring experiences. Share how you've fostered a collaborative environment in past roles, as this aligns with the firm's focus on innovation and teamwork.
