Senior Data Scientist, Actimize
Job Description
Have you got what it take:
- At least 5 years of experience in data analysis, preferably in the risk or fraud domain within the fintech industry.
- High proficiency in SQL – Must. Experienced in writing complex queries and analyzing large datasets.
- High proficiency in Python for data analysis – Must. Skilled in using Python libraries such as Pandas for data analysis and research, automation, and developing fraud detection logic.
- High proficiency in English and Strong written and verbal communication skills to effectively interact with clients, partners, and internal teams.
- Advantage: Understanding of the US financial systems – Familiarity with banking, payments, or e-commerce systems and processes.
- Advantage: Experience with financial fraud prevention strategies.
- Advantage: Ability to work independently, take initiative, and drive projects from ideation to completion.
- Great team player with desire to mentor junior analysts and Data scientists.
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About Company
Skills:
Time Series, Clustering, Sql, Logistic Regression, Excel, Kubernetes, Decision Trees, Feature selection, Regression, Boosting, Regularization techniques, Statistical Techniques
Skills:
MLops, AWS, Terraform, Python, Agentic AI, LLMs
Skills:
Api Development, Tensorflow, Pytorch, Databricks, Python, LangChain, content generation systems, computer vision models, generative AI solutions, cloud platforms, LangGraph, MLOps practices, observability tools for AI systems, LLM models, MCP-based integrations, evaluation techniques for GenAI, RAG pipelines
Skills:
Sql, Tensorflow, Numpy, Git, Nlp, Pandas, Pytorch, Gcp, Docker, Python Programming, Azure, AWS, Computer Vision, Generative AI, LLMs, Scikit-learn
Skills:
Tensorflow, Sql, S3, Pytorch, Aws Services, Python, Lambda, Data Visualization, Step Functions, R, ETL workflows, Scikit-learn