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- Tasks: Build impactful dashboards and analyse data to drive decisions across teams.
- Company: Join Dyad AI, a leader in enhancing analytical capabilities.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Exciting opportunity to work at the forefront of AI and ML.
- Why this job: Make a real impact with your data skills in a dynamic environment.
- Qualifications: 3+ years of experience in data analysis, Python, and SQL expertise required.
The predicted salary is between 50000 - 60000 £ per year.
Dyad AI is seeking a Data Scientist to enhance analytical capabilities. The role requires expertise in data extraction, analysis, and visualization with a strong emphasis on Python and SQL.
Responsibilities include:
- Building dashboards
- Producing accurate reports
- Effectively communicating findings to stakeholders
Applicants should have at least three years of experience in a commercial environment, ideally with a background in ML or AI. The position is offered on a hybrid basis from the London office.
Data Scientist: Build Dashboards & Drive Cross-Team Impact in London employer: Dyad AI
Contact Detail:
Dyad AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist: Build Dashboards & Drive Cross-Team Impact in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Dyad AI on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best dashboards and data visualisations. We want to demonstrate our expertise in Python and SQL, so make sure to highlight relevant projects that align with the job description.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by brushing up on common data science questions and case studies. We should be able to explain our thought process clearly, especially when it comes to building dashboards and communicating findings.
✨Tip Number 4
Apply through our website! It’s the easiest way to ensure our application gets seen. Plus, we can tailor our application to highlight how our experience aligns with Dyad AI's needs, making us stand out from the crowd.
We think you need these skills to ace Data Scientist: Build Dashboards & Drive Cross-Team Impact in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data extraction, analysis, and visualisation. We want to see how your skills in Python and SQL shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Data Scientist role. Share specific examples of how you've built dashboards or communicated findings to stakeholders in the past. Make it personal and engaging!
Showcase Your Experience: Since we’re looking for someone with at least three years of experience, be sure to detail your previous roles and responsibilities. Highlight any work related to machine learning or AI, as this will definitely catch our eye!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join the StudySmarter team!
How to prepare for a job interview at Dyad AI
✨Know Your Data Tools
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these tools to extract and analyse data, as well as how you visualised your findings.
✨Showcase Your Dashboard Skills
Prepare to talk about dashboards you've built in the past. Bring examples if possible, and be ready to explain the thought process behind your design choices and how they drove impact across teams.
✨Communicate Clearly
Since the role involves communicating findings to stakeholders, practice explaining complex data insights in simple terms. Think of ways to convey your results effectively, as this will demonstrate your ability to bridge the gap between data and decision-making.
✨Highlight Relevant Experience
With at least three years of experience required, make sure to highlight your relevant background in ML or AI. Prepare anecdotes that showcase your problem-solving skills and how you've contributed to previous projects in a commercial environment.