Data Scientist

Job Description

We are seeking a Data Scientist to join our dynamic team in Edinburgh. The ideal candidate will leverage data analytics and statistical methods to help make informed business decisions, whilst working alongside cross-functional teams to enhance our operational efficiency.

Responsibilities

• Build and optimise analytics models and algorithms.
• Communicate findings to executive management to inform strategic decision-making.
• Stay current with the latest data science trends and technologies.
• Collaborate with data engineers on data architecture and pipeline design.
• Conduct exploratory data analysis to guide strategic initiatives.
• Provide technical expertise in data analysis methods including statistical and quantitative analysis.

Requirements

Education

• Bachelor's degree in Data Analytics or a related field
• Master's is a plus

Experience

• 5+ years of experience in data science roles

Technical Skills

• Python
• Machine Learning
• Big Data Technologies
• Statistical Analysis
• Data Manipulation

Soft Skills

• Attention to Detail
• Teamwork
• Critical Thinking

Certifications

• Data Science Professional Certificate
• Google Data Analytics Professional Certificate

Languages

• English: Fluent

Advantageous

• Experience in product analytics: Experience gathering analytics for product performance and user experience.
• Familiarity with A/B testing methodologies: Knowledge of conducting and analysing A/B tests to optimise customer experiences.

Benefits

• Comprehensive health insurance and wellness benefits
• Paid time off and holidays
• Professional development opportunities
• Access to cutting-edge technology and resources

Company Culture

• Continuous Learning: We invest in our employees' growth through training and skill enhancement programmes.
• Diversity and Inclusion: Our team represents a diverse range of backgrounds, and we embrace inclusivity in our workplace.
• Sustainability: We are committed to environmental sustainability and ethical business practices.