At a Glance
- Tasks: Design experiments, gather data, and evaluate models for next-gen machine learning applications.
- Company: Join Obsidian, a leading AI lab pushing the boundaries of technology.
- Benefits: Flexible hours, competitive pay, and the chance to work with cutting-edge AI.
- Other info: Opportunity to scale hours and grow within a dynamic team.
- Why this job: Make a real impact in the AI field while developing your skills.
- Qualifications: 3+ years in data science, proficient in Python and Jupyter notebooks.
The predicted salary is between 60000 - 80000 £ per year.
Obsidian is seeking an experienced data scientist to join one of the world’s leading AI labs. In this role, you will support the development of robust systems for next-generation machine learning applications, focusing on hands-on tasks such as designing experiments, gathering data, and evaluating models.
The ideal candidate should have over 3 years of experience in data science, be highly skilled in Python and Jupyter notebooks, and hold a relevant bachelor’s degree. Strong communication skills and attention to detail are essential.
The position requires a commitment of 20 to 40 hours per week, potentially scaling up to 80 hours.
Part-Time Data Scientist — ML & Production-Ready AI employer: Obsidian
At Obsidian, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a part-time Data Scientist in one of the world's leading AI labs, you will have access to cutting-edge technology and resources, along with opportunities for professional growth and development. Our flexible working hours and commitment to work-life balance make Obsidian an exceptional employer for those looking to make a meaningful impact in the field of machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Part-Time Data Scientist — ML & Production-Ready AI
✨Get Involved in Data Challenges
Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like Obsidian.
✨Connect with Local Data Communities
Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.
✨Leverage Your University’s Resources
If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.
✨Apply Directly Through Our Website
Don’t forget to check out our jobs at Obsidian and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.
We think you need these skills to ace Part-Time Data Scientist — ML & Production-Ready AI
Some tips for your application 🫡
Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!
Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.
Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at Obsidian aligns with your career aspirations. Show us you're excited about learning and growing with us!
Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!
How to prepare for a job interview at Obsidian
✨Brush Up on Your Stats!
Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with Obsidian.
✨Show Off Your Projects!
It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to Obsidian.
✨Familiarise Yourself with Tools of the Trade
Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at Obsidian, so having a comfort level with these tools will definitely be an advantage.
✨Be Ready to Discuss Real-World Applications
Since this is a part-time role, employers at Obsidian will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.
