Data Scientist
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What you'll do
- Develop, test and validate statistical, machine learning and predictive models to solve real-world business problems.
- Take ownership of solutions from initial exploration and prototyping through to deployment and ongoing monitoring.
- Work with engineering and data teams to deploy models into production, considering scalability, maintainability and performance.
- Evaluate and monitor model performance, identifying opportunities for improvement.
- Explore large and complex datasets to identify patterns, opportunities and suitable modelling approaches.
- Develop scoring and predictive solutions such as propensity, classification, ranking, segmentation or behavioural models.
- Turn model outputs into actionable scores, insights or decision-support tools.
- Work closely with Data Scientists, Data Engineers and business stakeholders to deliver end-to-end solutions.
- Clearly communicate analytical approaches, findings and recommendations to both technical and non-technical audiences.
- Participate in peer review, knowledge sharing and the continuous development of the Data Science team.
- Produce high-quality, maintainable and well-documented code.
- Follow appropriate standards for testing, validation, version control and model documentation.
What they're looking for
- 3–5 years of commercial data science experience
- Strong analytical and modelling skills
- Practical experience of taking models beyond experimentation and into production
- Strong technical ability with a pragmatic and commercially focused approach
- Curiosity, strong problem-solving skills and a willingness to challenge assumptions using data
Nice to have
- Experience developing scoring models, including propensity, behavioural, customer, classification or ranking models.
- Experience working with FMCG, retail, consumer purchasing or behavioural datasets.
- Experience working with large-scale transactional, customer or product-level data.
- Experience with cloud-based data and machine learning platforms.
- Understanding of MLOps, model monitoring and production model lifecycle management.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Company Description
About NIQ: NIQ is a leading global consumer intelligence company, helping clients understand what is happening, why it is happening, and what they should do next. Our data, technology, AI, and analytics capabilities power decision-making for some of the world’s most important consumer, retail, and technology businesses.
AI is central to NIQ’s next stage of growth. We are building trusted, scalable, and high-impact AI capabilities that transform how insights are created, delivered, and adopted across the business. This role will help shape the platforms, operating model, and leadership system needed to make that ambition real.
Job Description
As a Data Scientist, you will play a key role in developing and delivering data science solutions that turn complex data into actionable insights and measurable business value.
You will work across the full data science lifecycle, from understanding business problems and exploring data through to developing, validating, deploying and monitoring models in production.
We are looking for someone with 3–5 years of commercial data science experience, combining strong analytical and modelling skills with practical experience of taking models beyond experimentation and into production.
Experience developing scoring or predictive models, particularly using FMCG, retail or consumer behavioural data, would be a significant advantage.
Key Responsibilities
Model Development & Deployment
- Develop, test and validate statistical, machine learning and predictive models to solve real-world business problems.
- Take ownership of solutions from initial exploration and prototyping through to deployment and ongoing monitoring.
- Work with engineering and data teams to deploy models into production, considering scalability, maintainability and performance.
- Evaluate and monitor model performance, identifying opportunities for improvement.
Data Analysis & Scoring
- Explore large and complex datasets to identify patterns, opportunities and suitable modelling approaches.
- Develop scoring and predictive solutions such as propensity, classification, ranking, segmentation or behavioural models.
- Turn model outputs into actionable scores, insights or decision-support tools.
Collaboration & Communication
- Work closely with Data Scientists, Data Engineers and business stakeholders to deliver end-to-end solutions.
- Clearly communicate analytical approaches, findings and recommendations to both technical and non-technical audiences.
- Participate in peer review, knowledge sharing and the continuous development of the Data Science team.
Quality & Continuous Improvement
- Produce high-quality, maintainable and well-documented code.
- Follow appropriate standards for testing, validation, version control and model documentation.
- Contribute to improvements in the team's methodologies, tools and ways of working.
Qualifications
Desirable
- Experience developing scoring models, including propensity, behavioural, customer, classification or ranking models.
- Experience working with FMCG, retail, consumer purchasing or behavioural datasets.
- Experience working with large-scale transactional, customer or product-level data.
- Experience with cloud-based data and machine learning platforms.
- Understanding of MLOps, model monitoring and production model lifecycle management.
What We're Looking For
We're looking for a Data Scientist who combines strong technical ability with a pragmatic and commercially focused approach.
You should be comfortable experimenting with different modelling techniques, but equally focused on ensuring solutions can be deployed, maintained and used effectively in the real world.
You'll have the opportunity to take ownership of meaningful data science problems while working collaboratively with experienced Data Scientists and Engineering teams. Curiosity, strong problem-solving skills and a willingness to challenge assumptions using data will be important to your success.
Additional Information
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://nielseniq.com/global/en/info/niqs-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
Company
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