Applied Data Scientist (AI)

TL;DR

Applied Data Scientist (AI): Leveraging data science techniques, particularly advanced SQL, Python for analysis, and statistical methods, to drive strategic decisions and generate insights around People & Culture strategy and research priorities with an accent on translating ambiguous business problems into structured, data-driven analyses. Focus on providing critical insights into research impact, investment strategy, attrition, and employee engagement.

Location: London, UK

Company

hirify.global is dedicated to advancing state-of-the-art artificial intelligence for widespread public benefit and scientific discovery, prioritizing safety and ethics.

What you will do

• Partner with stakeholders, including senior leaders, to identify and prioritize high-impact analytical questions.
• Conduct rigorous, end-to-end analyses using SQL, Python, and statistical methods to uncover insights and model trends.
• Translate complex findings into clear, compelling narratives and actionable recommendations.
• Develop and maintain dashboards and reports for ongoing visibility into key metrics.
• Collaborate with engineering and product teams to identify data gaps and advocate for data collection.
• Share knowledge and contribute to the team’s analytical roadmap and best practices.

Requirements

• Experience: 3+ years as a Data Scientist, Data Analyst, Quantitative Analyst, or Product Data Scientist.
• Proven ability to understand ambiguous problems and design appropriate analytical approaches.
• High proficiency in advanced SQL for analysis to manipulate and analyze complex datasets.
• Strong track record of stakeholder management, collaboration, and presenting complex findings persuasively.
• Solid understanding and practical application of statistical concepts for analysis.
• Ability to manage multiple analytical projects, prioritize effectively, and deliver high-quality insights independently.

Nice to have

• Experience or strong interest in research (bibliometrics, innovation pathways) or People & Culture (HR, recruiting).
• Ability and curiosity to use AI tools practically and effectively, with awareness of responsible AI use.
• Proficiency in Python for data analysis (Pandas, NumPy, SciPy, Scikit-learn, Matplotlib/Seaborn).
• Experience creating effective dashboards and visualizations (Tableau, Looker, Google Data Studio).
• Experience designing and implementing ELT workflows (dagster, dbt).

Culture & Benefits

• Direct strategic impact through analysis and recommendations influencing critical investment and decisions.
• Work closely with senior leaders, honing communication and influencing skills.
• Be part of a supportive and highly skilled data & analytics group.
• Committed to equal employment opportunities regardless of sex, race, religion, or belief.
• Value diversity of experience, knowledge, backgrounds, and perspectives.

Hiring process

• Successful candidates will undergo a background check performed by a third party.