LLM & Agentic AI Data Scientist (R-18520) at Dun & Bradstreet

Brussels, Brussels, Belgium

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Data Analytics, Technology, Financial ServicesIndustries

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

Responsibilities

Perform machine learning and LLM-driven developments on very large and heterogeneous datasets from Dun & Bradstreet’s unique sources as well as unstructured data such as textual documents, online content, and multimodal sources
Design, implement, and optimize agentic pipelines that combine LLMs, retrieval systems, and decision-making agents to power data quality processes, new products, and customer-facing solutions
Develop models, embeddings, and new variables through state-of-the-art machine learning, NLP, and generative AI techniques
Translate results into actionable insights through reports, visualizations, or interactive prototypes
Establish and maintain strong relationships with key business stakeholders
Contribute expertise on new data sources and advanced AI architectures, collaborating closely with product, engineering, and business teams
Stay at the forefront of research and applied innovation in LLMs, agents, and scalable AI Orchestration, focusing on addressing specific customer needs and use cases
Serve as a Subject Matter Expert on predictive models within the team and with business users; consult with the business, as appropriate, on predictive modeling solutions

Skills

Key technologies and capabilities for this role

Machine LearningLLMGenerative AINLPEmbeddingsAgentic PipelinesRetrieval SystemsData QualityLarge DatasetsHeterogeneous DataUnstructured DataTextual DocumentsMultimodal DataModel DevelopmentVisualization

Questions & Answers

Common questions about this position

What education and experience are required for this role?

A Master’s Degree in a quantitative/applied field such as Statistics, Econometrics, Computer Science, Operations Research, Mathematics, or Engineering is preferred. Candidates need 8+ years in data science roles with cross-company collaboration, 2–6 years in analytics, and at least 1 year focused on LLMs, agentic processes, or generative AI.

What technical skills are essential for this position?

Hands-on experience with deep learning/transformer models, LLM fine-tuning, prompt engineering, agent development/orchestration, and data visualization is a strong advantage. Proficiency in programming languages like Python is required.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What does the company culture at Dun & Bradstreet look like?

Dun & Bradstreet is a team of diverse thinkers and problem solvers with 6,000+ people in 31 countries who share a common curiosity to turn data into value. The role involves close collaboration with product, engineering, and business teams as part of the Data & Analytics team.

Dun & Bradstreet

Business intelligence products for companies

About Dun & Bradstreet

Dun & Bradstreet seeks to create a global network of trust enabling clients to turn uncertainty into confidence, risk into opportunity, and potential into prosperity. The company is building on its world-class data and analytics—Dun & Bradstreet Data Cloud—to deliver more data and deeper insights.

Jacksonville, FloridaHeadquarters

1840Year Founded

$364.8MTotal Funding

IPOCompany Stage

Data & Analytics, ConsultingIndustries

5,001-10,000Employees

Benefits

Medical and Prescription Drug: Comprehensive coverage through a choice of a Preferred Provider Organization (PPO) plan and Consumer Directed Health Plan (CDHP). The CDHP plan has a Health Savings Account (HSA) option. D&B contributes to the HSA each year.

Dental: Insurance including preventive care, basic care, major care and orthodontia

Vision: Coverage for routine eye exams and prescription lenses, frames and contact lenses

Health Care Accounts: Set aside before-tax dollars to pay for eligible health care expenses. You can choose a Healthcare Flexible Spending Account (FSA) or Health Savings Account (HSA).

Life Insurance: Company paid life insurance, as well as additional coverage including Basic, Supplemental, Spouse or Domestic Partner, and Child

Accidental Death & Dismemberment Insurance: Benefit that provides a payment if you suffer an accident that is fatal or dismembering

Business Travel Accident Insurance: Benefit that provides a payment if you are injured or die as a result of an accident while traveling on Company-approved business

Short-Term Disability (STD): Company provided benefit that offers you income protection for absence due to nonwork-related injury or illness

Long-Term Disability (LTD): Coverage that picks up when your STD ends. It provides income protection if you become totally disabled and are unable to work after 180 days of continuous disability.

Critical Illness Insurance: Insurance that is intended to supplement your medical and disability coverage. It provides a lump-sum benefit in the event you (or a covered family member) are diagnosed with a covered condition, such as cancer, heart attack, and more

Hospital Indemnity Insurance: Provides a lump-sum benefit to help you pay for costs in the event you (or a covered family member) are hospitalized.

Accident Insurance: Provides a lump-sum benefit to help you (or a covered family member) pay for costs for a covered injury and related services

401(k) Plan: Retirement plan into which you can make before-tax, Roth and after-tax contributions; company match is available along with a wide range of investment options

Personalized Planning & Advice (PP&A): Assistance with 401(k) investment decisions and financial wellness

Dependent Care Flexible Spending Account (FSA): Set aside before-tax dollars to use towards eligible dependent child or adult care services

Legal Insurance Plan: Insurance plan that provides you with prepaid legal services to help you address a wide range of legal matters (i.e. home purchase, will creation, small claims court, dispute with a home contractor, and much more)

Home and Auto Insurance: Special group rates and discounts on protection of your home, car and other personal property

Commuter Benefit: Pay for your commuting expenses through before-tax payroll deductions

Pet Insurance: Plan that reimburses you for expenses incurred for covered services

Vacation days: 20 days and you are eligible to earn more based on your years of service

Holidays: 9 paid days that coincide with the national holidays when our US offices are closed, plus one floating holiday of your choice

Volunteer Days: Two days per year to volunteer

Unsick Day: One paid day off to visit the doctor when you are not sick

Paid Maternity & Paternity Leave: Up to 16 weeks of paid leave for the primary caregiver, and up to 2 weeks of paid leave for the secondary caregiver

Employee Assistance Program (EAP): Free confidential support, including access a network of professional counselors, and referrals on resources for everyday needs

Adoption Assistance: Reimbursement for eligible expenses related to adopting a child

Education Assistance: Provides financial assistance for outside education to enable team members to achieve greater results in their current position and/or to prepare team members for future assignments within Dun & Bradstreet

Risks

Rapid AI adoption in B2B could increase competition for D&B's traditional services.

Partnership with Lili may expose D&B to credit management risks for small businesses.

Generative AI in D&B Hoovers may face data privacy and security challenges.

Differentiation

Dun & Bradstreet's DUNSRight® Quality Process ensures high-quality, decision-ready business insights.

The company offers a vast global commercial database with over 220 million business records.

D&B's integration of AI, like ChatD&B, enhances real-time business decision-making capabilities.

Upsides

D&B's AI-driven solutions, like D&B Ask Procurement, improve procurement efficiency and decision-making.

Partnerships with fintechs, such as Lili, expand D&B's offerings for small business banking.

Recognition as a leader in KYC Data Solutions strengthens D&B's market position.

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