The Data Scientist 1 will contribute to the design, development, and deployment of AI and machine learning models to solve specific business problems in the financial sector. Under the guidance of more senior team members, the Data Scientist 1 will participate in data analysis, model building, and communication of findings. This role offers an excellent opportunity to learn and grow within a dynamic team focused on innovative data-driven solutions.
The difference you will make
- Develop and implement individual machine learning models for specific banking applications.
- Conduct focused data exploration and analysis to support model development.
- Assist in the deployment and testing of machine learning models.
- Document model development processes and results.
- Contribute to data preparation and feature engineering.
Requirements
- Education: Bachelor’s degree in data science, Economics, Computer Science, Engineering, Statistics, Mathematics, Physics, Operations Research, or a related discipline with excellent academic record.
- Experience:
- 0-3 years of experience in a data-related role, including internships or academic projects involving data analysis and modeling.
- Exposure to the financial services industry is a plus.
- Basic familiarity with AI applications in finance is desirable.
- Technical Skills:
- Basic proficiency in at least one of the following languages: Python or R.
- Basic understanding of machine learning frameworks (scikit-learn, introductory exposure to TensorFlow or PyTorch).
- Foundational understanding of basic statistical concepts and ML algorithms (Linear/Logistic regression, decision trees).
- Basic mathematical skills relevant to data analysis.
- Introductory knowledge of GenAI concepts.
- Basic proficiency in SQL and database querying.
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, basic use of Tableau or Power BI).
- Familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus.
Basic understanding of working with large data sets.
Soft Skills:
Strong ownership and accountability for assigned work.
Excellent communication, interpersonal, and conflict resolution skills.
Effective time management and task prioritization.
Analytical thinking and problem-solving skills.
Ability to work independently and collaborate with teams within and across functions.
Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
Adaptability and learning agility in a fast-paced environment.
Strong attention to detail and a commitment to quality.
Receptiveness to feedback and continuous improvement mindset.