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- Tasks: Contribute to safer, reliable cars using data science and machine learning.
- Company: Join a forward-thinking automotive company making a real impact.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a team shaping the future of the automotive industry.
- Qualifications: Bachelor's degree and experience in data science; Python skills required.
- Other info: Dynamic role with a focus on collaboration and innovation.
The predicted salary is between 28800 - 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.
- Empathetic, enthusiastic, collaborative and willing to share expertise.
- Excellent written and verbal communication skills with the ability to distil, explain and present complex information to others.
- Ability to combine independent thinking with problem-solving skills.
- Work well as part of a team and have a flexible and agile approach to work.
- Problem solver, shows initiative, eager to learn, self-learner/researcher.
Associate Data Scientist in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨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. Be ready to discuss how you've delivered value to stakeholders and tackled challenges in past projects. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. Plus, it shows you're genuinely interested in the role.
We think you need these skills to ace Associate Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Associate Data Scientist role. Highlight your experience with Python, machine learning, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to making cars safer and more reliable. Keep it engaging and personal – we love to see your personality!
Showcase Your Teamwork Skills: Since collaboration is key in our team, make sure to mention any experiences where you've worked effectively with others. Whether it's a project at university or a previous job, we want to know how you contribute to a team environment.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you're keen to join 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 your willingness to support others.
✨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 strategies or projects. This not only shows your interest but also gives you a chance to demonstrate your understanding of the industry and the role.
