
Data Innovation Lead
2 days ago
Job Role:
You will work at the intersection of Generative AI, Machine Learning and personal finance.
- Drive smarter decision-making using AI.
- Improve customer outcomes by personalising experiences.
- Launch agentic AI systems to streamline sales, support and credit evaluation.
Key Responsibilities:
- Design, build and deploy machine learning and generative AI models.
- Translate real-world business problems into data science solutions from ideation to production.
- Collaborate with engineers to set up scalable data pipelines and APIs.
- Constantly monitor model performance and retrain as needed.
- Build solutions that leverage LLMs for tasks like summarisation, sentiment detection, classification and recommendations.
- Stay up-to-date with developments in GenAI and actively experiment with new techniques.
Required Skills and Qualifications:
- A strong foundation in machine learning, feature engineering and model deployment.
- Hands-on experience implementing GenAI use cases e.g. prompt engineering, RAG, embeddings.
- Proficiency in Python, SQL and ML libraries like scikit-learn, XGBoost, TensorFlow or PyTorch.
- Familiarity with LLM frameworks LangChain, OpenAI, HuggingFace and cloud services AWS/GCP/Azure.
- Demonstrated ability to take AI models from notebook to production.
- Excellent communication skills and ability to collaborate cross-functionally.
Benefits:
- A high-impact role solving a real societal problem.
- The opportunity to shape AI strategy and product direction from the ground up.
- A culture that values curiosity ownership and bold thinking.
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