Data Scientist

Oxford FULL TIME £35,000 - £50,000 / Year
(£2,916 - £4,166 / Month)

Job Description

As a Data Scientist at Data Insights Ltd., you will analyse complex data sets to derive actionable insights and support strategic decision-making. You will work with stakeholders across various departments to translate business needs into analytical models and statistical methods. This role requires a strong understanding of data mining and machine learning principles, along with the ability to communicate findings effectively to non-technical audiences.

Responsibilities

  • Conduct exploratory data analysis to uncover patterns and anomalies.
  • Deploy machine learning models in production environments for real-time data analysis.
  • Assist in the development of data governance frameworks.
  • Work with data engineers to ensure data architecture meets analytical needs.
  • Create clear documentation of data processes and insights for future reference.

Requirements

Education
  • Bachelor's degree in Mathematics or related field
  • Master's degree in Data Science is preferred
Experience
  • 3+ years of experience in a data-intensive role
Technical Skills
  • Python
  • Machine Learning
  • Statistical Analysis
Soft Skills
  • Critical Thinking
  • Presentation Skills
Certifications
  • Data Science Certification from a recognised institution
  • Google Data Analytics Professional Certificate
Languages
  • English: Fluent

Advantageous

  • Familiarity with Spark or Hadoop: Experience with big data technologies such as Spark or Hadoop for large-scale data processing.
  • Proficiency in Tableau or Power BI: Strong skills in using Tableau or Power BI for effective data visualisation and reporting.

Benefits

  • Health and wellness programmes
  • Generous annual leave policy
  • Professional development support
  • Flexible working arrangements

Company Culture

  • Growth Opportunities: We offer continuous learning and professional growth opportunities for our employees.
  • Supportive Environment: Our culture is built on support, mentorship, and recognition of achievements.
  • Work-life Balance: We promote a healthy work-life balance and flexible work arrangements.
Status: Closed