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- Tasks: Work on high-impact AI projects that matter to you and your team.
- Company: People-first company focused on inclusion, diversity, and great outcomes.
- Benefits: Competitive pay, supportive culture, and rewarding challenges.
- Why this job: Join a passionate team and make a real difference with AI.
- Qualifications: Experience in data science and a collaborative mindset.
- Other info: Opportunities for personal growth and a dynamic work environment.
The predicted salary is between 30000 - 50000 £ per year.
Applied AI is our north star. We want to support our people in prioritising what matters to them while working on high-impact projects that they’ll love. You will join a culture that is centered around people-first values, inclusion, diversity, equity, and a passion for delivering great outcomes. With competitive compensation and benefits, you’ll feel supported and rewardingly challenged.
If you require any assistance with regard to reasonable adjustments during the recruitment process, please do not hesitate to contact us – we will always be happy to help.
Applied AI & Data Scientist employer: Slalom
Contact Detail:
Slalom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI & Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the AI and data science fields, especially those who work at companies you're interested in. 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 projects, especially those related to applied AI. This is your chance to demonstrate what you can do beyond the CV – make it visually appealing and easy to navigate.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI and data science. We recommend doing mock interviews with friends or using online platforms to get comfortable and confident.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Applied AI & Data Scientist
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for applied AI! Share any projects or experiences that highlight your love for the field and how you can contribute to our people-first culture.
Tailor Your CV: Make sure your CV is tailored to the role of Applied AI & Data Scientist. Highlight relevant skills and experiences that align with our values of inclusion, diversity, and delivering great outcomes.
Be Authentic: We want to get to know the real you! Don’t be afraid to show your personality in your application. Share your unique perspective and how it fits into our mission at StudySmarter.
Apply Through Our Website: For a smooth application process, make sure to apply through our website. It’s the best way for us to receive your application and keep everything organised!
How to prepare for a job interview at Slalom
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in applied AI. Be ready to discuss how you've used AI in past projects and how it can be leveraged to solve real-world problems. This shows your passion and expertise!
✨Showcase Your People-First Mindset
Since the company values a people-first culture, think about examples from your experience where you prioritised team collaboration and inclusivity. Share stories that highlight your ability to work well with diverse teams and support others.
✨Prepare for Impactful Questions
Expect questions that assess your problem-solving skills and how you approach high-impact projects. Prepare specific examples of challenges you've faced and how you overcame them, focusing on the outcomes and what you learned.
✨Ask Thoughtful Questions
At the end of the interview, have a few insightful questions ready about the company's projects or culture. This not only shows your interest but also helps you gauge if the company aligns with your values and career goals.