Data Scientist

Cambridge FULL TIME £40,000 - £60,000 / Year
(£3,333 - £5,000 / Month)

Job Description

We are on the lookout for a talented Data Scientist to join our innovative team in Cambridge. In this role, you will leverage your expertise in data analytics and statistical modelling to extract insights from complex datasets. Your work will involve collaborating with various teams to develop data-driven solutions that enhance our products and services.

Responsibilities

  • Develop machine learning algorithms and statistical models.
  • Conduct rigorous data analysis to support decision-making.
  • Build data pipelines for processing large datasets.
  • Collaborate with engineering teams to deploy models into production.
  • Communicate findings effectively to both technical and non-technical audiences.

Requirements

Education
  • Bachelor's degree in Statistics, Mathematics, or a related field
  • Master's degree in Data Science or related field is an advantage
Experience
  • 5+ years of experience in data analytics or data science
Technical Skills
  • Data Mining
  • Statistical Analysis
Soft Skills
  • Critical thinking
  • Effective communication
Certifications
  • Microsoft Certified: Azure Data Scientist Associate
  • Google Data Analytics Professional Certificate
Languages
  • English: Fluent

Advantageous

  • Knowledge of Big Data Technologies: Familiarity with Hadoop or Spark for big data processing.
  • Experience with A/B Testing: Experience designing and implementing A/B tests for product development.

Benefits

  • Health, dental, and vision insurance
  • 401(k) with company match
  • Employee wellness programs
  • Access to ongoing professional development

Company Culture

  • Continuous Learning: We believe in continuous learning and provide opportunities for professional growth.
  • Employee Empowerment: We empower our employees to take initiative and make impactful decisions.
  • Work-Life Balance: We promote a healthy work-life balance to enhance productivity and well-being.
Status: Closed