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- Tasks: Design and solve original data science problems using AI and machine learning.
- Company: Dynamic tech-focused project agency in Manchester.
- Benefits: Earn up to $55 per hour with flexible participation.
- Why this job: Make a real impact by tackling exciting AI challenges.
- Qualifications: 5+ years of data science experience and a strong portfolio.
- Other info: Join a collaborative team and enhance your skills in a vibrant environment.
The predicted salary is between 44000 - 57000 £ per year.
A tech-focused project agency seeks experienced data scientists for project-based AI opportunities in Manchester. Contributors will design and solve original data science problems, leveraging their expertise in Python, statistical analysis, and machine learning.
Participants can earn up to $55 per hour based on their contributions. Ideal candidates will have a robust portfolio and a minimum of 5 years' experience in data science, along with proficiency in English. This role offers flexible participation based on project needs.
Senior Data Science Engineer: AI Problem Designer in Manchester employer: Mindrift
Contact Detail:
Mindrift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Science Engineer: AI Problem Designer in Manchester
✨Tip Number 1
Network like a pro! Reach out to fellow data scientists and industry professionals on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your best projects, especially those involving Python, statistical analysis, and machine learning. Make sure it’s easy to navigate and visually appealing.
✨Tip Number 3
Prepare for interviews by brushing up on common data science problems and solutions. Be ready to discuss your past projects and how you approached problem-solving in each case.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Science Engineer: AI Problem Designer in Manchester
Some tips for your application 🫡
Show Off Your Portfolio: Make sure to highlight your best projects in your portfolio. We want to see your skills in action, so include examples that showcase your expertise in Python, statistical analysis, and machine learning.
Tailor Your Application: Don’t just send a generic application! We love it when candidates tailor their applications to the role. Mention specific experiences that relate to designing and solving data science problems, as this will make you stand out.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured responses that get straight to the heart of your experience and skills without unnecessary fluff.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss any important details about the role!
How to prepare for a job interview at Mindrift
✨Showcase Your Portfolio
Make sure to bring along a well-organised portfolio that highlights your best projects. We recommend including case studies that demonstrate your problem-solving skills and the impact of your work in data science.
✨Brush Up on Technical Skills
Since this role requires expertise in Python, statistical analysis, and machine learning, we suggest reviewing key concepts and being ready to discuss your experience with these tools. Prepare to solve a technical problem on the spot to showcase your skills.
✨Understand the Company’s Projects
Do some research on the types of AI projects the agency has worked on. We believe that understanding their focus areas will help you tailor your responses and show how your experience aligns with their needs.
✨Prepare for Behavioural Questions
Expect questions about teamwork, challenges faced, and how you approach problem-solving. We advise practising your answers to common behavioural questions, as this will help you convey your experience effectively and confidently.