Data Scientist HQ ·

Data Scientist HQ ·

Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Join our team to develop and deploy AI/ML models that drive business success.
  • Company: Dynamic tech company in Nine Elms, London with a focus on innovation.
  • Benefits: Competitive salary, equity, 25 days holiday, private health insurance, and flexible working.
  • Why this job: Make an impact with data while enjoying a collaborative and supportive work environment.
  • Qualifications: 1-2 years experience as a Data Scientist and strong Python skills required.
  • Other info: Great career growth opportunities in a vibrant start-up culture.

The predicted salary is between 36000 - 60000 £ per year.

Overview

Data Scientist — Nine Elms, London - Full-time (3 days a week on-site)

As part of our vision, we are seeking a talented Data Scientist to join our dynamic, expanding team. Over the last few years we’ve built a solid data foundation using best in class technologies (dbt, BigQuery, Airflow) and are just at the start of our journey to leverage this data in a more sophisticated way.

Responsibilities

  • Stakeholder Management: Help business leaders at Zapp understand and prioritise opportunities related to AI/ML
  • End-to-End Development and Ownership: Own the lifecycle of new models from concept to deployment and monitoring, and continuously iterate.
  • Reporting/Dashboarding Collaboration: Work closely with cross-functional teams to define, design, and implement new features, driving both business and technical excellence.
  • Code Quality: Write scalable, maintainable, and high-quality code while adhering to best practices for testing, deployment, and version control.

Essential skills

  • Minimum of 1-2 years of professional experience as a Data Scientist in a commercial setting.
  • Bachelor’s degree in Computer Science, Software Engineering, Mathematics, Physics, or a related field.
  • Expertise in Python and developing high-quality, scalable code
  • Hands-on experience with cloud platforms like GCP, AWS, or Azure
  • Solid understanding of SQL
  • Familiarity with version control (Git) and automated deployment pipelines (CI/CD).

Desirable skills

  • Experience with GCP/Vertex AI
  • Past work in retail demand forecasting
  • Experience working in a start-up environment

Benefits

  • Competitive salary & equity package.
  • Enjoy 25 days of holiday per year (plus all bank holidays).
  • Private Health Insurance.
  • Extended sick pay and maternity/paternity leave pay.
  • Perkbox.
  • Cycle to work scheme.
  • Flexible/hybrid working arrangement (60:40 between office/home).

Data Scientist HQ · employer: Justzapp

At Zapp, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture in the heart of Nine Elms, London. Our commitment to employee growth is evident through our competitive salary and equity packages, generous holiday allowance, and flexible working arrangements that promote a healthy work-life balance. Join us to be part of a dynamic team where your contributions directly impact our journey in leveraging data for transformative solutions.
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Contact Detail:

Justzapp Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist HQ ·

Tip Number 1

Network like a pro! Reach out to current employees at Zapp on LinkedIn or through mutual connections. A friendly chat can give us insights into the company culture and maybe even a referral!

Tip Number 2

Prepare for the interview by brushing up on your technical skills. Since they’re looking for expertise in Python and SQL, let’s make sure we can showcase our coding chops with some real-world examples.

Tip Number 3

Showcase our problem-solving skills! Be ready to discuss how we’ve tackled challenges in past projects, especially those involving AI/ML. This will help us stand out as a candidate who can drive business excellence.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, it shows we’re genuinely interested in being part of the Zapp team.

We think you need these skills to ace Data Scientist HQ ·

Stakeholder Management
AI/ML
End-to-End Development
Model Deployment
Reporting/Dashboarding
Cross-Functional Collaboration
Code Quality
Python
Cloud Platforms (GCP, AWS, Azure)
SQL
Version Control (Git)
Automated Deployment Pipelines (CI/CD)
Retail Demand Forecasting
Start-up Environment Experience

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, SQL, and any cloud platforms you've worked with. We want to see how your skills align with our needs!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data science and how you can contribute to our team. Don’t forget to mention any relevant projects or experiences that showcase your expertise.

Showcase Your Projects: If you've worked on any cool data science projects, make sure to include them in your application. We love seeing practical examples of your work, especially if they involve AI/ML or cloud technologies!

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!

How to prepare for a job interview at Justzapp

Know Your Data Tools

Make sure you’re familiar with the technologies mentioned in the job description, like dbt, BigQuery, and Airflow. Brush up on how these tools can be used in data science projects, as you might be asked to discuss your experience with them during the interview.

Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've tackled complex data problems. Think about how you’ve owned the lifecycle of a model from concept to deployment, and be ready to explain your thought process and the impact of your work.

Understand Stakeholder Management

Since stakeholder management is key for this role, come prepared with examples of how you've collaborated with business leaders in the past. Highlight how you’ve helped them understand AI/ML opportunities and prioritised projects based on their needs.

Demonstrate Code Quality Awareness

Be ready to talk about your coding practices. Discuss how you ensure your code is scalable and maintainable, and mention any experience you have with version control and CI/CD pipelines. This shows you value quality and best practices in your work.

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