Data Scientist role at Mundiale, focusing on AI solutions and NLP technologies within a collaborative team environment. Responsibilities include model development and implementation.
About the role
- Data Scientist joining a leading economic consultancy to implement data science solutions for business challenges and advance thought leadership in advanced analytics.
Responsibilities
- Work on client-facing projects, designing and implementing complex data science solutions, from concept to productions to solve real-world competition and regulatory challenges faced by businesses. Each project is different - one week, you might solve a data engineering challenge, which could involve mining large datasets. The next week, you may find yourself working on natural language processing using large language models, developing innovative AI applications.
- Contribute to cutting-edge research projects, advancing Compass Lexecon’s thought leadership in the application of advanced analytics to competition and finance cases.
- Conduct advanced training sessions and develop sophisticated tools to enhance how economists work with data.
Requirements
- Master’s degree in data science, computer science, applied mathematics, statistics, machine learning, economics, or operations research.
- At least 2 years of professional data science experience, with a proven track record of translating business problems into data science solutions.
- Proficiency in Python, R, and SQL, with experience developing production-level code and working effectively with relevant libraries and frameworks, as well as hands-on proficiency with NoSQL databases such as MongoDB.
- Possess practical experience with a range of data science methods and concepts, such as data engineering workflows, machine learning, natural language processing, with the ability to quickly learn new tools as needed.
- Hands-on experience with cloud computing platforms (Azure, AWS, or GCP) and container technologies (such as Docker) in collaborative project environments.
- Solid understanding of data engineering principles including data modelling, ETL processes, and building data pipelines.
- Strong organizational skills, able to independently manage multiple projects and deliverables on time.
- Excellent teamwork and communication skills, with demonstrated ability to share knowledge and present findings clearly to both technical and non-technical colleagues.
Benefits
- Equal opportunities employer
- Diverse teams considered and respected
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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