Data Science Manager

Skills Analyze complex data using statistical and machine learning models to derive actionable insights Utilize SQL, Python for data analysis, visualization, and working with APIs, Linux OS, databases, big data technologies, and cloud services as well as tools like Tableau Develop innovative solutions for natural language processing and generative modelling tasks using NLP, Generative AI, and LLMs Working knowledge in micro-segmentation and leads discovery, predictive cross-sell models, experience analytics, and unified customer intelligence to drive our marketing and sales strategies. Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions Ensure model robustness, model generalization, accuracy, testability, and efficiency Design and maintain data pipelines and workflows within AWS for optimal performance and scalability Communicate findings and insights effectively to stakeholders reports and visualizations. You are comfortable working in a dynamic environment and are eager to expand your focus beyond marketing data over time to support broader business initiatives Qualifications A master’s degree in data science, Statistics, Computer Science, or a related field. 10+ years of proven experience in developing machine learning models, particularly for time series data within a financial context. Advanced programming skills in SQL, Python. Comprehensive knowledge of AI and LLM technologies, with a track record of developing applications and models. Proficiency in data visualization tools, such as Tableau, Power BI, or similar platforms. Exceptional analytical and problem-solving abilities, coupled with meticulous attention to detail. Superior communication skills, enabling the clear and concise presentation of complex findings. Extensive experience in AWS for data processing, model training, and deployment. Industry knowledge within Data Security, Issuance and Identity Security is a bonus

Analyze complex data using statistical and machine learning models to derive actionable insights

Utilize SQL, Python for data analysis, visualization, and working with APIs, Linux OS, databases, big data technologies, and cloud services as well as tools like Tableau

Develop innovative solutions for natural language processing and generative modelling tasks using NLP, Generative AI, and LLMs

Working knowledge in micro-segmentation and leads discovery, predictive cross-sell models, experience analytics, and unified customer intelligence to drive our marketing and sales strategies.

Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions

Ensure model robustness, model generalization, accuracy, testability, and efficiency

Design and maintain data pipelines and workflows within AWS for optimal performance and scalability

Communicate findings and insights effectively to stakeholders reports and visualizations.

You are comfortable working in a dynamic environment and are eager to expand your focus beyond marketing data over time to support broader business initiatives

A master’s degree in data science, Statistics, Computer Science, or a related field.

10+ years of proven experience in developing machine learning models, particularly for time series data within a financial context.

Advanced programming skills in SQL, Python.

Comprehensive knowledge of AI and LLM technologies, with a track record of developing applications and models.

Proficiency in data visualization tools, such as Tableau, Power BI, or similar platforms.

Exceptional analytical and problem-solving abilities, coupled with meticulous attention to detail.

Superior communication skills, enabling the clear and concise presentation of complex findings.

Extensive experience in AWS for data processing, model training, and deployment.

Industry knowledge within Data Security, Issuance and Identity Security is a bonus

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