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- Tasks: Analyse complex datasets using SQL and Python to drive strategic decisions.
- Company: Leading AI company in Greater London with a focus on innovation.
- Benefits: Collaborative environment, professional growth, and influence over key decisions.
- Why this job: Make a real impact in research and People & Culture teams.
- Qualifications: Experience in data analysis and strong communication skills.
- Other info: Dynamic role with opportunities to work closely with senior leaders.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI company in Greater London is seeking an experienced Applied Data Scientist to drive data-driven decision-making in research and People & Culture teams. You will apply advanced SQL and Python skills to analyze complex datasets, generate insights, and communicate findings to stakeholders. The role offers the opportunity to work closely with senior leaders and influence strategic decisions, providing a collaborative and dynamic environment for professional growth.
Applied Data Scientist: Strategy & People Analytics in London employer: The Rundown AI, Inc.
Contact Detail:
The Rundown AI, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Data Scientist: Strategy & People Analytics in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at the company you're eyeing. A friendly chat can open doors and give you insider info that could set you apart.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects. This is your chance to demonstrate how you can turn complex datasets into actionable insights, just like the role requires.
✨Tip Number 3
Prepare for the interview by brushing up on your communication skills. You’ll need to explain your findings clearly to stakeholders, so practice articulating your thought process and insights in a straightforward way.
✨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 that extra step to connect with us directly.
We think you need these skills to ace Applied Data Scientist: Strategy & People Analytics in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your advanced SQL and Python skills in your application. We want to see how you've used these tools to tackle complex datasets and generate insights in your previous roles.
Tailor Your Application: Don’t just send a generic CV and cover letter. Take the time to tailor your application to the job description. Mention how your experience aligns with driving data-driven decision-making in research and People & Culture teams.
Communicate Clearly: Since you'll be communicating findings to stakeholders, it’s important to demonstrate your ability to convey complex information clearly in your written application. Use straightforward language and avoid jargon where possible.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at The Rundown AI, Inc.
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools to analyse complex datasets and generate insights. This will show that you can hit the ground running!
✨Understand the Company Culture
Research the company’s values and culture, especially in relation to their People & Culture teams. Be prepared to discuss how your approach to data science aligns with their mission and how you can contribute to a collaborative environment.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills. Think of examples where you've influenced strategic decisions using data insights. Practising these scenarios will help you articulate your thought process clearly during the interview.
✨Communicate Clearly
Since you'll be communicating findings to stakeholders, practice explaining complex data concepts in simple terms. Use examples from your past experiences to demonstrate how you’ve effectively communicated insights to non-technical audiences.
