Data Scientist

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.