Overview
In this role you collaborate with clients and cross-functional teams to deliver analytics-driven solutions, turning business problems into data models and actionable insights. You will work on cutting-edge projects and contribute to R&D, while growing your technical and leadership capabilities in a high-performance culture. You’ll translate complex analytics into business value and present findings to diverse audiences. This is a globally connected environment with mentorship, ongoing learning, and opportunities to attend conferences and shape AI-driven client outcomes.
Pay / Benefits
- competitive salary
- comprehensive benefits package
- global learning and apprenticeship culture
- mentorship and coaching
- opportunities to travel
- well-being for you and your family
Responsibilities
- Collaborate with clients and interdisciplinary teams to develop analytics solutions
- Translate business problems into analytical challenges and build models
- Prototype statistical analyses and apply them to new domains
- Contribute to internal tools and participate in R&D projects
- Attend and present at conferences (e.g., NIPS, ICML)
- Own and drive model development while managing deadlines
- Impact business outcomes and drive improvements across industries
Key requirements
- Bachelor/Master/PhD level in a technical field (as stated)
- Up to 2 years of ML/data mining experience with substantial data sets
- Programming experience in Python and/or R; familiarity with SQL
- Ability to prototype and deploy data-driven solutions
- Strong communication and presentation skills
- Willingness to travel
- Experience with ML/analytics tooling and cloud platforms (as listed)
- GenAI and agentic systems experience considered a plus
- Strong communication skills
- Ability to explain complex analytics to non-technical audiences
- Time management and organizational skills
- Python
- PySpark
- SQL
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