NielsenIQ (NIQ) is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in nearly 100 markets, covering more than 90% of the world’s population.

We are always looking for open-minded people who will grow with us, push boundaries, and pioneer disruptive methods in market research, data science, technology, and AI. If you share this passion to drive things forward and the integrity to insist on doing things the right way, we’ll equip you to take your future into your own hands and play a leading role in our story.

As an ML Engineer, you will be the engineering backbone of NIQ’s Marketing Effectiveness Incubation Lab—transforming experimental marketing science prototypes into scalable, production-ready solutions. You will join an innovation- and client-first culture where creative thinking and entrepreneurial spirit are championed, and where the engineering rigor you bring is what allows next-gen ideas to graduate from proof-of-concept into our evolving marketing analytics platform.

Working closely with a team of senior data scientist, solutions consultants, and the Data Science & Product Lead of the Incubation Lab, not to mention the broader Marketing Effectiveness Data Science & Product team you will own the path from algorithm to deployable code—ensuring quality, performance, and reproducibility across everything the Lab ships to clients and to the broader Product & Tech organization.

Mission

• Develop and operationalize Marketing Science solutions originated within the Incubation Lab, as well as supporting the Core team
• Support the journey from proof-of-concept through pilot deployment to graduation into NIQ’s production marketing analytics platform.
• Transform experimental prototypes into scalable, production-ready code that meets enterprise standards for performance, reliability, and maintainability.

Key Responsibilities

• Develop, implement, and standardize marketing science solutions originated as proofs-of-concept and prototypes within the Lab, transforming them into scalable, reusable, production-ready code.
• Build analytical pipelines at scale using cloud services, containerized applications, and distributed systems to support pilot deployments and graduation hand-offs.
• Optimize Lab models and algorithms through code optimization, high-performance computing, and real-time techniques.
• Continuously improve the efficiency and quality of Lab solutions—ensuring adherence to coding guidelines, testing standards, documentation, and reproducibility.
• Identify best practices and drive continuous improvement of tooling, infrastructure, and engineering methods within the Lab.
• Collaborate closely with Senior Data Scientists and the Incubation Lab’s Product Lead, to translate experimental code into platform-ready components; partner with Solutions Consultants and the Innovation Commercial Lead to ensure technical feasibility of client-facing solutions.
• Partner with downstream Product & Tech and Modeling COE teams to ensure smooth graduation of Lab innovations into the broader marketing analytics platform.
• Serve as a key engineering support resource for issues, bugs, and blockers on Lab-deployed models and pipelines.
• Stay up to date with advancements in software engineering, ML infrastructure, MLOps, and AI tooling, and work with the Lab leadership to apply them to our platform.
• Foster a culture of engineering excellence and experimentation within the team by serving as a technical mentor and multiplier to peers and juniors.

• Bachelor’s or Master’s degree reflecting strong statistical, mathematical, or computer science skills.
• 3+ years of professional Python development experience.
• Working understanding of R.
• Experience with statistical and predictive modeling sufficient to engage substantively with Data Scientists on algorithm implementation.
• Able to manage code deployments; strong experience with Git.
• Solid understanding of containerization (Docker)—building and managing images.
• Experience creating, managing, and maintaining code documentation.
• Solid skills in performance optimization and scalability (e.g., parallelization, code optimization, functions-as-a-service).
• Familiarity with cloud platforms (AWS, Azure, or GCP) and distributed systems.
• Familiarity with product development tools and apps, namely Jira, Confluence, and Git.
• Ability to present and explain complex technical concepts to less experienced colleagues and to non-engineering stakeholders.

Soft Skills

• Strong analytical and problem-solving skills.
• Comfortable operating in ambiguous, fast-paced environments where solutions are still being defined.
• Experimentation mindset—willingness to prototype, iterate, and learn from failure.
• Good attention to detail—ensures all outputs are delivered professionally and accurately.
• Good interpersonal skills—treats others with respect, is cooperative, friendly, and considerate; a good role model who helps build teamwork and team spirit.
• Well-organized and flexible; demonstrates self-confidence, decisiveness, and commitment; able to work independently without constant support.
• Ease of communication in an English-speaking business environment.

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion