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- Tasks: Create original computational problems and apply advanced analytics in AI/ML projects.
- Company: Leading AI project consultancy with a focus on innovation.
- Benefits: Earn up to $55 per hour, flexible hours, and competitive rates.
- Other info: Project-based role with flexible hours, ideal for balancing studies.
- Why this job: Make an impact in the AI field while working on exciting, real-world applications.
- Qualifications: Extensive Python programming experience and a strong portfolio required.
The predicted salary is between 44000 - 57000 £ per year.
A leading AI project consultancy is looking for an experienced Data Scientist to create original computational problems and apply advanced analytics. Applicants should have extensive Python programming experience and a strong portfolio showcasing real-world applications. The role is project-based, with tasks estimated at 10-20 hours per week during active phases. Contributors can earn competitive rates, with earnings up to $55 per hour depending on expertise and contribution level.
Senior Data Science Engineer — Project-Based AI/ML employer: Mindrift
Contact Detail:
Mindrift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Science Engineer — Project-Based AI/ML
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML space and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a project-based role.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your best projects, especially those involving Python and real-world applications. Make sure it’s easy to navigate and showcases your problem-solving abilities.
✨Tip Number 3
Stay active in relevant online communities. Join forums, attend webinars, and participate in discussions related to AI and data science. This not only keeps you updated but also helps you connect with potential collaborators or employers.
✨Tip Number 4
Apply through our website! We’ve got loads of exciting project-based roles waiting for talented individuals like you. Don’t miss out on the chance to earn competitive rates while working on innovative AI/ML projects.
We think you need these skills to ace Senior Data Science Engineer — Project-Based AI/ML
Some tips for your application 🫡
Showcase Your Python Skills: Make sure to highlight your extensive Python programming experience in your application. We want to see how you've used Python in real-world applications, so don’t hold back on sharing those projects!
Build a Strong Portfolio: Your portfolio is your chance to shine! Include examples of original computational problems you've tackled and the advanced analytics you've applied. We love seeing creativity and problem-solving in action.
Tailor Your Application: Take a moment to tailor your application to the specific role. Mention how your skills align with the project-based nature of the job and how you can contribute effectively during active phases.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Mindrift
✨Showcase Your Portfolio
Make sure to bring along a strong portfolio that highlights your real-world applications of data science. We recommend preparing a few key projects that demonstrate your problem-solving skills and the impact of your work, especially those involving Python programming.
✨Brush Up on AI/ML Concepts
Since this role is focused on AI and machine learning, it’s crucial to be well-versed in the latest trends and techniques. We suggest reviewing recent advancements in the field and being ready to discuss how you’ve applied these concepts in your previous projects.
✨Prepare for Technical Questions
Expect to face technical questions that assess your coding skills and analytical thinking. We advise practising common data science problems and algorithms in Python, as well as being prepared to explain your thought process clearly during the interview.
✨Understand the Project-Based Nature
Since the role is project-based, it’s important to convey your flexibility and ability to manage time effectively. We suggest preparing examples of how you’ve successfully juggled multiple projects or deadlines in the past, showcasing your organisational skills.