Data Scientist

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 35 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 teams 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 Were Looking For 

Were 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. 

Youll 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 NIQs 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 NIQs AI Safety Policies and Guiding Principles: NIQ

NIQ is the worlds leading consumer intelligence company delivering the most complete understanding of consumer buying behavior and revealing new pathways to 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 insightsdelivered with advanced analytics through state-of-the-art platformsNIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100 markets covering more than 90% of the worlds population.

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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  Work :

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Employment Type :

Full-time