- Company Name
- Axos Bank
- Job Title
- Jr. Business & Technology Analyst - Data Scientist & Machine Learning Engineer
- Job Description
-
**Job Title:**
Jr. Business & Technology Analyst – Data Scientist & Machine Learning Engineer
**Role Summary:**
A rotational entry‑level analyst position focused on building and deploying AI, machine learning, and advanced analytics solutions. The role spans data product strategy, model development, and production deployment across multiple banking domains, with an emphasis on Python, SQL, and large language model integration.
**Expectations:**
- Rapid acquisition of cross‑platform knowledge through structured rotations in Data Science and Machine Learning.
- Deliver measurable business impact via model monetization, cost optimization, and customer‑experience enhancements.
- Maintain high standards of data governance, quality, and security across all data products.
**Key Responsibilities:**
- Identify data‑driven product and monetization opportunities with business units (Consumer, Commercial, Securities, Risk, Fraud, Marketing, Technology).
- Own end‑to‑end model life cycle: define problems, acquire & prepare data, engineer features, select & train models, validate, fine‑tune, and deploy to production.
- Design, train, and operationalise large language models and autonomous AI agents, applying reinforcement learning, prompt engineering, and monetization strategies.
- Build and maintain SSIS packages and SQL data pipelines for transformation, cleansing, staging, and caching.
- Create dashboards and visualisations to communicate insights to non‑technical stakeholders.
- Ensure data product governance, quality, and compliance; conduct data validation and testing.
- Troubleshoot and optimise SQL database performance, including stored procedures, tables, indexes, and replication.
- Review and audit peers’ SQL code for efficiency and correctness.
**Required Skills:**
- Proficiency in Python (data science libraries, model deployment).
- Strong SQL acumen with experience in SSIS and relational database tuning.
- Hands‑on knowledge of machine learning pipelines (feature engineering, model selection, evaluation).
- Familiarity with large language models, prompt engineering, and reinforcement learning concepts.
- Ability to translate business requirements into technical solutions.
- Excellent communication of complex analyses to diverse audiences.
**Required Education & Certifications:**
- Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or related field.
- Relevant certifications (e.g., Microsoft Certified: Azure Data Scientist Associate, AWS Certified Machine Learning – Specialty) are advantageous, but not mandatory.