Related skills
r sql python pandas scikit-learn📋 Description
- Develop and deploy end-to-end analytics projects.
- Build predictive models and ML algorithms to derive insights.
- Apply statistical methods to identify trends and correlations.
- Translate business needs into analytical solutions with stakeholders.
- Stay current with DS/ML/Generative AI; recommend innovative approaches.
🎯 Requirements
- 4-8 years in data science; 1+ year Generative AI.
- Python or R; experience with Pandas, NumPy, scikit-learn.
- ML techniques: supervised/unsupervised, regression, classification, clustering, deep learning.
- LLMs, NLP; evaluation methods for generative outputs.
- RAG pipelines and vector databases (e.g., Pinecone).
- Finance domain experience; cloud platforms for deployment (AWS/Azure/GCP).
🎁 Benefits
- Join a growing, market-leading global company.
- Fast-paced, collaborative, innovative environment.
- Internal career opportunities across roles and locations.
- NiCE-FLEX hybrid model: 2 days in office, 3 days remote weekly.
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