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- Tasks: Contribute to safer cars using data science and machine learning techniques.
- Company: Join a forward-thinking automotive company focused on innovation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in the automotive industry while developing your skills.
- Qualifications: Bachelor's degree and experience in data science; Python skills required.
- Other info: Collaborative team environment with exciting challenges and career advancement.
The predicted salary is between 30000 - 48000 £ per year.
The role will directly contribute to the development of safer, more reliable cars, influencing the automotive industry positively.
What You'll Be Doing in This Role:
- Demonstrable experience working on data science related projects as part of a team.
- Experience delivering value to stakeholders.
Qualifications of this Role:
- Requires a Bachelor's degree and a minimum of 2 years of related experience; or an advanced degree without experience; or equivalent work experience.
Required technical skills:
- Degree in relevant subject.
- Experience using Python.
- Experience using machine learning techniques.
- Experience using statistical techniques.
Desirable technical skills:
- Post graduate degree.
- Experience working with Large Language Models.
- Experience with natural language processing/text analysis.
- Experience with actuarial loss reserving techniques.
Desirable competencies:
- Independent, responsible, accountable.
- Project management skills - understands company strategies/priorities and plans workload/technical solutions accordingly.
- You’re empathetic, enthusiastic, collaborative and willing to share expertise.
- Have excellent written and verbal communication skills with the ability to distil, explain and present complex information to others.
- You like taking on big challenges - given the appropriate time and resources.
- Be able to combine independent thinking with problem-solving skills.
- You will also need to work well as part of a team and have a flexible and agile approach to your work.
- Problem solver, shows initiative, eager to learn, self-learner/researcher.
Associate Data Scientist employer: J.D. Power
Contact Detail:
J.D. Power Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those using Python and machine learning techniques. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key in this role. We want to see how you can make data relatable!
✨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 are proactive about their job search!
We think you need these skills to ace Associate Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your data science projects, especially those where you delivered value to stakeholders. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background makes you a great fit. Don’t forget to mention any experience with Python or machine learning techniques – we love that stuff!
Showcase Your Communication Skills: Since excellent communication is key for this role, make sure your application is clear and concise. We want to see how you can distil complex information into something understandable. This will give us a taste of how you might present ideas to the team!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining the StudySmarter family!
How to prepare for a job interview at J.D. Power
✨Know Your Data Science Stuff
Make sure you brush up on your data science knowledge, especially around Python and machine learning techniques. Be ready to discuss any relevant projects you've worked on and how they delivered value to stakeholders.
✨Showcase Your Team Spirit
Since this role involves collaboration, be prepared to share examples of how you've worked effectively in a team. Highlight your ability to communicate complex information clearly and how you’ve contributed to group success.
✨Demonstrate Problem-Solving Skills
Think of specific challenges you've faced in previous roles and how you tackled them. This will show your independent thinking and problem-solving abilities, which are crucial for the Associate Data Scientist position.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data science projects or their approach to using large language models. This shows your enthusiasm for the role and helps you gauge if the company is the right fit for you.
