
Data Insights Engineer
2 weeks ago
About Our Team: We thrive at the intersection of curiosity, rigor, and business impact.
This is a pivotal role in building advanced models that empower our business with predictive insights.
- Key Responsibilities:
- Data Analysis & Exploration: Analyse large datasets to uncover trends, patterns, and opportunities.
- Model Building: Design and develop robust machine learning and statistical models tailored to solving complex business problems.
- Model Deployment: Deploy models to production environments, ensuring scalability, stability, and maintainability.
- Collaboration & Communication: Work cross-functionally with leaders, product managers, analysts, and engineers.
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
- Proven experience (3+ years) in building machine learning/statistical models.
- Strong programming skills in Python or similar languages.
- Solid understanding of data structures, algorithms, and software engineering principles.
- Familiarity with big data technologies and database systems.
- Statistical knowledge, hypothesis testing, and experimental design.
- Experience in deploying models into high-availability production environments.
- MLOps practices and tools knowledge.
- Data visualisation tool expertise.
- CI/CD pipelines for ML projects.
- Technical Excellence: Applies data science techniques to solve real-world problems.
- Business Acumen: Understands business drivers and challenges.
- Ownership & Accountability: Takes responsibility for deliverables and quality of work.
- Collaboration: Fosters an inclusive team environment.
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