TL;DR
Senior Data Scientist (AI): Designing and building AI-powered digital twins and agents for decision intelligence platforms, focusing on optimizing real-world outcomes in high-consequence environments. Focus on combining scientific rigor with a business-focused approach to advance AI Agent and Decision Hub capabilities.
Location: Hybrid Working (2 days in our Old Street office, London)
Company
hirify.global is a company established in 2014, building responsible AI for over 350 global customers across various industries, focusing on human-centric AI and real-world impact through its Frontier™ product.
What you will do
- Design and build validated AI agents in high-consequence environments.
- Perform exploratory data analysis, model building, validation, and performance monitoring.
- Lead data science efforts within cross-functional delivery teams, partnering with engineers, designers, and product leads.
- Deeply understand core customer problems to ensure technical solutions drive real value.
- Translate real-world problems into technical strategies and measure model impact with scientific rigor.
Requirements
- Senior-level experience in data science or quantitative research.
- Proficiency in Python and essential libraries (NumPy, Pandas, scikit-learn).
- Familiarity with a deep-learning framework (e.g., TensorFlow, PyTorch).
- Strong foundation in statistics and mathematics.
- Experience across the full data science toolkit, including supervised/unsupervised learning, time-series, Bayesian methods, and model validation.
- A leadership mindset centered on technical excellence, team growth, and a collaborative culture.
Nice to have
- Experience building and evaluating agents using eval-driven development.
Culture & Benefits
- Unlimited Annual Leave policy.
- Private healthcare and dental.
- Enhanced parental leave and flexible working.
- Sanctus Coaching.
- Hybrid Working (2 days in our Old Street office, London).
Hiring process
- Talent Team Screen (30 minutes)
- Technical Interview (90 minutes)
- Principles Interview (45 minutes)
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