At a Glance
- Tasks: Qualify deals, conduct discovery meetings, and showcase Dataiku's business value.
- Company: Join Dataiku, a leader in AI solutions with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on cutting-edge cloud technologies.
- Why this job: Leverage your data science skills to make a real impact in enterprise solutions.
- Qualifications: 5+ years in predictive modelling, SQL knowledge, and strong customer engagement skills.
The predicted salary is between 60000 - 80000 £ per year.
Dataiku is looking for a Senior Sales Engineer in Greater London who will operate with a strong data science background. The role includes qualifying deals, conducting discovery meetings, and demonstrating how Dataiku can deliver business value.
The ideal candidate has 5+ years of predictive modelling experience, SQL understanding, and must be comfortable engaging with customers at all levels. This position offers a chance to leverage cloud infrastructures and analytics to meet client needs.
Senior AI Solutions Engineer for Enterprise Data employer: Dataiku
Dataiku is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Greater London. With a strong emphasis on employee growth, we provide ample opportunities for professional development and skill enhancement, particularly in cutting-edge AI and data science technologies. Our commitment to work-life balance and a supportive environment makes Dataiku a rewarding place for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Solutions Engineer for Enterprise Data
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science and AI fields. Attend meetups or webinars where you can chat with industry folks. You never know who might have a lead on that perfect Senior AI Solutions Engineer role!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your predictive modelling projects and SQL expertise. When you get the chance to chat with potential employers, share specific examples of how you've delivered business value in past roles.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your pitch. Focus on articulating how your experience aligns with the needs of the role, especially around engaging with customers and leveraging cloud infrastructures.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the right fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our team at Dataiku.
We think you need these skills to ace Senior AI Solutions Engineer for Enterprise Data
Some tips for your application 🫡
Show Off Your Data Science Skills:Make sure to highlight your strong data science background in your application. We want to see your predictive modelling experience and SQL skills shine through, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for the Senior AI Solutions Engineer role. Mention how your experience aligns with the responsibilities like qualifying deals and conducting discovery meetings. It’ll make you stand out!
Engage with Us:Since this role involves engaging with customers at all levels, let us know about your communication skills. Share examples of how you've successfully interacted with clients in the past – we love hearing those stories!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Dataiku
✨Know Your Data Science Stuff
Make sure you brush up on your predictive modelling and SQL skills. Be ready to discuss specific projects where you've used these skills to solve real-world problems. This will show that you not only understand the theory but can also apply it effectively.
✨Understand Dataiku's Value Proposition
Before the interview, take some time to research how Dataiku delivers business value through its solutions. Be prepared to discuss how you can leverage their platform to meet client needs, and think of examples where you’ve done something similar in the past.
✨Engage with Confidence
Since this role involves engaging with customers at all levels, practice your communication skills. Prepare to explain complex concepts in simple terms and be ready to answer questions confidently. Remember, it's about building trust and showing you can be a reliable partner.
✨Prepare for Discovery Meetings
Think about how you would conduct discovery meetings with potential clients. Prepare questions that help uncover their pain points and needs. This will demonstrate your proactive approach and ability to tailor solutions to specific challenges.
