About Our Client Our client is a global organization that provides essential support functions to a large financial institution. These services include IT, finance, HR, and more, ensuring efficient operations and streamlined processes across various business units.
Job Description Data Analysis and Insights: Collect, analyze, and visualize large datasets to produce actionable insights that inform business decisions.Model Development: Create and refine data models to generate valuable insights and recommendations.Communication and Stakeholder Management: Clearly communicate technical findings to stakeholders, ensuring they understand the value of your work.Research and Innovation: Stay updated on industry trends and conduct research to identify innovative solutions.Data Governance: Adhere to data policies and regulations to ensure compliance.Project Management: Manage stakeholder expectations and deliver project outcomes within agreed timelines.The Successful Applicant AI and Machine Learning: Expertise in NLP, text analysis, neural networks (CNN, LSTM), object detection, OCR, and document processing automation.Machine Learning Foundations: Solid understanding of classical machine learning techniques (supervised, unsupervised, classification, regression, decision trees, clustering).Technical Proficiency: Proficiency in Python, data science libraries (Scikit-learn, Pandas, Matplotlib), data analytics techniques (collection, wrangling, cleaning, EDA), SQL, and analytical tools.Data Platforms: Experience with RDBMS, data warehouses, and data lakes is a plus.Cloud Platforms: Familiarity with cloud platforms like Google Cloud Platform and VertexAI for MLOps is preferred.Remote Collaboration: Experience working and coordinating remotely.Problem-Solving: Strong problem-solving and solution-oriented mindset.Analytical Skills: Excellent analytical and organizational skills.Education: Preferably a degree in mathematics, computer science, or statistics.What's on Offer Competitive salary and benefits package14th month payOpportunities for professional growth and developmentWork in a dynamic and collaborative environment
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