Company Description

Our commitment to Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us.

We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide.

Learn more about how we are driving diversity and inclusion in everything we do by visiting the NielsenIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion/

NIQ or any of our subsidiaries will never ask you for money at any point of the recruitment or onboarding process.

Our Benefits

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

Job Description

CGA by Nielsen IQ are looking for an enthusiastic, proactive problem-solver, with excellent communication skills, and a passion for the hospitality market, to join our growing Data Science team based in our Stockport office. 

As a Data Scientist, you’ll join a dynamic team dedicated to developing innovative solutions that transform vast amounts of raw data into actionable insights, drive decision-making, and develop new methodologies to enhance our products and services. The successful candidate will join a dynamic team with a broad remit across diverse data sets and modeling techniques, where expertise in Natural Language Processing (NLP) would be an advantage. 

Qualifications

About You 

Ideally, you possess a good understanding of data science applications, including data wrangling, modelling, and web-scraping. You have successfully applied your data analytical skills to real-world scenarios, demonstrating your ability to handle complex data sets and generate actionable insights. Strong analytical and problem-solving skills are a must. 

About the Role 

• Data Management: Extract, preprocess, and clean data from multiple sources to create unified datasets. 
• Exploratory Data Analysis: Perform exploratory data analysis (EDA) to identify trends, anomalies, and patterns. 
• Model Development: Design, implement, and validate predictive and prescriptive models using machine learning algorithms. 
• Collaboration: Work with cross-functional teams, understanding their needs, and translating them into data-driven solutions. 
• Communication and Presentation Skills: Present findings, strategies, and recommendations to technical and non-technical audiences throughout the development process. Excellent communication skills, both verbal and written. 
• Model Deployment: Assist in the production deployment of proposed enhancements and new solutions. 
• Model Evaluation: Develop testing and validation strategies to measure the effectiveness of new models, in coordination with other analytics teams. 

Qualifications and Skills 

• Educational Background: Master’s or Ph.D. in Computer Science, Statistics, Applied Mathematics, or a related field (or equivalent experience). 
• Programming Proficiency: Proficiency in Python for data science applications (e.g., data wrangling, modelling, web-scraping). Familiarity with SQL for database querying. 
• Machine Learning Libraries: Skilled in using libraries such as Scikit-learn, TensorFlow, Keras, and PyTorch. 
• Data Manipulation: Experience with libraries like Pandas or NumPy. 
• Data Visualization: Proficiency with Matplotlib, Seaborn, or Plotly for visualising complex datasets. 
• Databases: Experience with relational databases (e.g., PostgreSQL, MySQL). Knowledge of non-relational databases (e.g., MongoDB) is an additional benefit. 
• Big Data Technologies: Familiarity with platforms like Hadoop, Spark, or similar technologies for processing large datasets. 
• Communication and Collaboration: Strong communication, writing, and collaboration skills. 

Additional Information

Nice to Have 

• Version Control: Proficiency in using Git or similar version control systems to maintain code and collaborate with colleagues. 
• Model Deployment: Experience with tools like Docker, Kubernetes, or other serverless technologies. 
• Software Development: Knowledge of python-based testing frameworks (e.g., pytest, unittest), coding styles, CI/CD pipelines for developing and maintaining production-level code 
• Cloud Platforms: Working knowledge of platforms like AWS, Azure, or Google Cloud, especially their data-related services. Knowledge of Databricks is a plus. 

Our Benefits

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

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

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion