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For Companies At a Glance
- Tasks: Drive data quality and build robust pipelines for impactful decision-making.
- Company: Join a forward-thinking team in a fully remote environment.
- Benefits: Competitive pay, flexible remote work, and opportunities for mentorship.
- Why this job: Make a real impact by shaping data-driven strategies and mentoring others.
- Qualifications: 5+ years in analytics or data engineering with strong SQL and Python skills.
- Other info: Dynamic role with potential for growth in the exciting field of data science.
Role: Data Scientist
Type: Contracts (6 Months)
Location: London, UK (REMOTE)
Working Model: Fully Remote
Payrate: GBP/day on PAYE, GBP/day on RUPAYE, GBP/day on Inside IR35 on Umbrella
The Role
Join our team to drive data quality and empower cross‑functional decision‑making by building robust pipelines and self‑serve data products. You will be essential in defining metrics for platform health, developer productivity, and ML/AI adoption.
What You Will Do
- Own end‑to‑end analytical data modeling in BigQuery using dbt.
- Build reliable data pipelines utilizing SQL, Python, and distributed processing frameworks (Apache Spark, Scio, Beam, or Flink).
- Develop clear, story‑driven dashboards using tools like Looker or Tableau.
- Champion data quality, implement CI/CD for dbt models, and mentor junior team members.
What You Bring
- 5+ years of experience in analytics or data engineering, with deep expertise in SQL.
- Extensive experience with dbt, a cloud data warehouse, and workflow orchestrators (Airflow, Dagster, Prefect, or Flyte).
- Proficiency in Python for data analysis and automation.
- Bonus: Experience with experimentation, ML/AI metrics, or platform productivity.
Data Scientist - London, UK (Fully REMOTE) in City of London employer: Randstad Technologies Recruitment
Contact Detail:
Randstad Technologies Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - London, UK (Fully REMOTE) in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving SQL, Python, and data visualisation tools like Looker or Tableau. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and practical tasks. Be ready to discuss your experience with dbt, cloud data warehouses, and any relevant frameworks you've used. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Scientist - London, UK (Fully REMOTE) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with SQL, dbt, and any relevant projects that showcase your skills in building data pipelines and dashboards.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how your background aligns with our needs. Be specific about your experience with tools like Looker or Tableau.
Showcase Your Projects: If you've worked on any cool data projects, don’t forget to mention them! Whether it's a personal project or something from your previous job, we love seeing real-world applications of your skills.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us!
How to prepare for a job interview at Randstad Technologies Recruitment
✨Know Your Data Tools
Make sure you brush up on your SQL, Python, and dbt skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in building data pipelines or dashboards.
✨Showcase Your Analytical Mindset
Prepare to talk about specific metrics you've defined for platform health or developer productivity. Use examples that highlight your ability to drive decision-making through data analysis.
✨Be Ready for Technical Questions
Expect questions on distributed processing frameworks like Apache Spark or Airflow. Practise explaining complex concepts in a simple way, as this will demonstrate your understanding and communication skills.
✨Demonstrate Mentorship Experience
Since mentoring junior team members is part of the role, think of examples where you've guided others. Share how you helped them grow and what impact it had on the team’s performance.