Senior Data Scientist transforming data into insights for strategic projects at Minsait. Collaborating on innovative solutions in public administration, telecom, and finance sectors.
About the role
- Data Scientist driving LLM-driven innovations within Dun & Bradstreet’s Data & Analytics team. Aiming for scalable AI insights through complex modeling engagement and business research.
Responsibilities
- Participate in all aspects of modeling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting.
- Research complex business issues and recommend solutions, including model features, end products and any data required to support growing initiatives.
- Drive innovation by helping design and deploy agentic systems that orchestrate LLMs and other AI components to deliver structured, transparent, and scalable insights.
Requirements
- Master’s Degree in a quantitative/applied field preferred (Statistics, Econometrics, Computer Science, Operations Research, Mathematics, Engineering).
- 8+ years’ operating successfully in data science roles, especially roles requiring cross-company collaboration and disciplined delivery of initiatives.
- 2–6 years of experience in analytics, with at least 1 year focused on LLMs, agentic processes, or generative AI
- Hands-on experience with deep learning/transformer models, LLM fine-tuning, prompt engineering agent development/orchestration, and data visualization is a strong advantage.
- Ability to program in other statistical analysis languages, proficiency in programming languages (Python, R, SQL).
- Experience in feature engineering, automation, network analysis or Natural Language Processing.
- Ability to manage multiple assignments, many of which have challenging timelines.
- Ability to work independently, as well as collaborate effectively in a team environment.
- Excellent communication and presentation skills.
- Proficiency in Microsoft Office Suite.
- Show an ownership mindset in everything you do. Be a problem solver, be curious and be inspired to take action. Be proactive, seek ways to collaborate and connect with people and teams in support of driving success.
- Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.
- Where applicable, fluency in English and languages relevant to the working market.
Benefits
- Health insurance
- Flexible work arrangements
- Professional development
Job title
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Experience level
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Not specified
Degree requirement
Tech skills
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