At a Glance
- Tasks: Lead and mentor a team while driving software and data project delivery.
- Company: QuantSpark, a forward-thinking data and AI consultancy based in London.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team with a focus on responsible AI and innovation.
- Why this job: Shape the future of AI and data engineering while making a real impact.
- Qualifications: Experience in engineering management and a passion for mentoring teams.
QuantSpark, a London-based data and AI consultancy, seeks a leader to drive delivery across software and data projects. You will mentor a team of 4 Data Engineers, 1 AI Engineer, and 1 QA, balancing coaching with hands-on architectural work and client-facing delivery.
You will shape engineering standards, embed responsible AI, and sit on the management team with autonomy to guide tooling and roadmaps. Office in London with remote flexibility.
#J-18808-LjbffrPlayer‑Coach Engineering Manager, Data & AI employer: Story Terrace Inc.
At Story Terrace Inc., we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Marketing Director in the UK, you will not only lead a talented team but also enjoy competitive benefits such as a substantial salary, private health insurance, and ample vacation time, all while contributing to meaningful growth and brand development in a forward-thinking environment.
StudySmarter Expert Advice🤫
We think this is how you could land Player‑Coach Engineering Manager, Data & AI
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Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Story Terrace Inc.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
