Hybrid LLM & Agentic AI Data Scientist

Posted 2 months ago

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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

LLM & Agentic AI Data Scientist

Job type

Experience level

SeniorLead

Salary

Not specified

Degree requirement

Postgraduate Degree

Tech skills

Location requirements

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