Data Scientist in London

Data Scientist in London

London Full-Time 63000 - 77000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and develop data analytics for the Warestack open-source project.
  • Company: Join a forward-thinking team at Birkbeck in central London.
  • Benefits: Enjoy 31 days paid leave, pension scheme, and flexible working arrangements.
  • Other info: Full-time, on-site role with excellent career growth opportunities.
  • Why this job: Make an impact by improving software delivery and DevOps workflows with data insights.
  • Qualifications: Experience in data analytics and proficiency in Python required.

The predicted salary is between 63000 - 77000 £ per year.

In this role you will design and develop data analytics capabilities for the Warestack open-source project, focusing on collecting, processing, and analyzing operational data from software delivery and DevOps workflows. You will work with data from GitHub Actions, CI/CD pipelines, cloud infrastructure, logs, and system events to deliver analytics, monitoring, and AI-assisted insights that improve visibility, reliability, and decision-making. You will build Python-based data pipelines, assess CI/CD performance, and apply AI techniques for root-cause analysis and recommendations. This is a full-time, on-site position at Birkbeck’s Bloomsbury campus, with a fixed-term arrangement.

Pay / Benefits

  • 31 days paid leave
  • pension scheme
  • flexible working arrangements
  • central London location

Responsibilities

  • Develop Python-based pipelines to collect, clean, transform and analyse data from cloud infrastructure and DevOps environments
  • Analyse CI/CD workflows to identify performance trends, bottlenecks, anomalies and recurring failures
  • Apply machine-learning, large language models and AI techniques to log analysis and operational recommendations
  • Support the development, testing, deployment and monitoring of analytics services using DevOps practices

Key requirements

  • Experience with data analytics for operational data
  • Proficiency in Python for data processing
  • Understanding of CI/CD, DevOps workflows and cloud infrastructure
  • Ability to apply ML/AI techniques to log data and incident analysis
  • Experience with analytics service development and monitoring

Data Scientist in London employer: Birkbeck University

Birkbeck, University of London is an exceptional employer for those passionate about teaching and research in Computer Science. Located in the vibrant Bloomsbury area, we offer a supportive work culture with opportunities for professional growth, competitive salaries, and generous benefits including 31 days of paid leave and flexible working arrangements. Join us to inspire a diverse student body while contributing to cutting-edge research and academic excellence.

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Contact Details:

Birkbeck University Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist in London

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We think you need these skills to ace Data Scientist in London

Data Analytics
Python
CI/CD
DevOps Workflows
Cloud Infrastructure
Machine Learning
AI Techniques

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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Craft a Tailored Cover Letter:For a full-time role at Birkbeck University, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Birkbeck University. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

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Brush Up on Your Statistics

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Get Comfortable with Python and R

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