Job Overview:

We are seeking an enthusiastic Junior Data Scientist to assist in the research, development and implementation of algorithmic solutions, with a focus on call-center operations in a regulated financial market.

As a Junior Data Scientist, you'll perform data analysis, model development and implementation, assist with practical MLOps and LLMOps pipelines, and contribute to the high-level AI and automation roadmap.

You’ll work closely with stakeholders across various departments to translate business challenges into well-defined problems and deliver impactful algorithmic-based solutions.

Key Responsibilities:

Data Science & Modelling:

• Perform meaningful and accurate data analysis on structured data using appropriate statistical theory
• Draft Product Requirement Specifications for model development
• Specify, design and implement data pipelines
• Work with structured data to develop predictive and prescriptive models
• Understand the importance and correct usage of evaluation metrics like accuracy, precision, recall, F1-score, RMSE, etc.
• Implement monitoring and feedback loops for continuous improvement and delivery

Stakeholder Collaboration:

• Collaborate with stakeholders to understand business objectives and challenges, ensuring alignment of data-driven strategies with organizational goals
• Use data insights to propose changes to strategies and processes to optimize contact center operations and achieve business goals
• Continuously collaborate with stakeholders to ensure strategy adjustments are effectively addressing business needs and achieving desired results

Continuous Professional Development:

• Be self-motivated to stay updated on emerging algorithms and trends in the industry
• Investigate and recommend the application of new algorithmic approaches to drive quick and meaningful innovation within the context of our AI roadmap

Preferred Qualifications:

Engineering Degree preferred (BSc. (Hons) Mechanical, Electrical, Computer, etc.)

Physics, Computer Science and/or Mathematics background is also desirable

Applicants with relevant experience will be considered

Key skills:

• Strong analytical and problem-solving skills
• Strong mathematical proficiency
• Strong proficiency in Python
• Excellent understanding of core mathematical and statistical concepts
• Ability to read published technical reports and infer implications in context
• Ability to produce high quality technical reports (LaTeX beneficial but not necessary)
• Basic SQL proficiency and understanding of relational databases
• First principles understanding of NLP algorithms beneficial
• Understanding of applied MLOps and LLMOps beneficial
• Excellent communication skills – verbal and written

Key Attributes:

• Proactive and innovative thinker
• Detail-oriented with ability to manage time and task prioritization across multiple different projects
• Passionate about AI adoption to drive meaningful business changes
• Eager to explore and implement state-of-the-art innovations in the industry
• Results-driven with a focus on continuous improvement
• Collaborative and adaptable to dynamic team environments