Junior Data Scientist

Key Skills

AWS, Azure, Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, Docker, Git, Google Cloud Platform (GCP), Kubernetes-K8s, MongoDB, MySQL, Python Programming, SQL

Job Description

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.

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.

Additional Information

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.