Data Scientist - Global Insurance firm

Randstad is partnered with global Insurance firm, and we are looking for a Lead Data Scientist to drive innovative approaches in understanding, interacting, and serving their customers by optimizing analytics to derive actionable business insights. The successful candidate will work closely with business stakeholders, mostly in Japanese, to understand their requirementクイーンカジノ おすすめゲームnd business background, and lead data analytics initiatives from conception to delivery.

Responsibilities:

• Collaborate with business stakeholders to gather requirements, understand business context, クイーンカジノ おすすめゲームerive data-driven solutions.
• Lead and oversee data analytics initiatives, including planning, executing, クイーンカジノ おすすめゲームelivering high-quality analytical solutions.
• Work in close collaboration with the data platform team and other IT teams, identifying dependencieクイーンカジノ おすすめゲームnd resolving blockers to ensure smooth development processes.
• Demonstrate deep understanding of analytics initiatives, machine learning model development, deployment, and timeline management.
• Utilize CI/CD, MLOps, Azure or similar cloud platforms, クイーンカジノ おすすめゲームevOps to streamline development クイーンカジノ おすすめゲームeployment processes.
• Utilize hands-on skills with SQL, Python, Pandas, PySpark, AzureML, and PowerBI to develop and implement data modelクイーンカジノ おすすめゲームnd analytics.
• Apply expertise in financial or insurance domains, particularly in operationクイーンカジノ おすすめゲームnd marketing, to ensure successful project outcomes.
• Prepare detailed documentation for analyticクイーンカジノ おすすめゲームnd ML initiatives, including project deliverables.
• Communicate effectively with team memberクイーンカジノ おすすめゲームnd leadership through presentations on analyticクイーンカジノ おすすめゲームnd machine learning requirements, progress, and outcomes.

Experience:
- 5+ years of experience in advanced analytics roles within companies, delivering successful business outcomes.
- Proven track record of success in advanced analytics roles, with strong leadership skills.

Business Knowledge/Technical Skills:
- Proficiency in quantitative methodクイーンカジノ おすすめゲームnd businesクイーンカジノ おすすめゲームnalytics, with strong problem-solving skills.
- Ability to build and apply data models using machine learning techniques such as classification, regression, clustering, time-serieクイーンカジノ おすすめゲームnalysis, and dimensionality reduction.
- Competent in programming with tools like Python and SQL.
- Strong understanding of data visualization tools, especially PowerBI.
- Experience with CI/CD, MLOps, and cloud platforms like Azure for
deploying analyticクイーンカジノ おすすめゲームnd ML solutions.
- Hands-on experience with data analytics toolクイーンカジノ おすすめゲームnd libraries such as Pandas, PySpark, and AzureML.
- Background in financial or insurance domain, particularly in operationクイーンカジノ おすすめゲームnd marketing.