Data Scientist I (Analytics)

TL;DR

Data Scientist I (Analytics): Applying analytics principles to solve business problems by extracting, transforming, and analyzing data to build models and generate insights for brand growth. Focus on designing and executing experiments, interpreting models such as linear/logistic regression and clustering, and creating clear visualizations for diverse audiences.

Location: United Kingdom - London (onsite)

Company

hirify.global brands power global travel for everyone, everywhere, designing cutting-edge tech to make travel smoother and more memorable, and creating groundbreaking solutions for partners.

What you will do

• Apply analytics principles and playbooks to solve business problems with guidance.
• Extract, transform, and analyze data from multiple sources to build models and generate insights.
• Design and execute experiments (e.g., A/B tests, causal impact studies) to evaluate business strategies.
• Build and interpret models such as linear/logistic regression and clustering.
• Create clear, inclusive visualizations and dashboards that communicate insights.
• Collaborate with stakeholders to refine project goals and deliver impactful recommendations.

Requirements

• Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, or a related field.
• 0–1+ years of industry experience, or completed data apprenticeships/certifications.
• Demonstrated experience using data in a previous role (e.g., building dashboards or data science projects in production).
• Intermediate-level experience in SQL, Python, R, or similar tools for data analysis and visualization.
• Understanding of descriptive statistics, probability theory, and statistical testing.
• Beginner-level experience with data modeling techniques and experiment design.

Culture & Benefits

• Open culture where everyone belongs and differences are celebrated.
• Full benefits package including travel perks and generous time-off.
• Parental leave and a flexible work model.
• Career development resources to fuel passion for travel.
• Commitment to an inclusive work environment with a diverse workforce.