Assistant Manager - Analytics (reputed company Global Network Pakistan)
reputed company and reputed company machine learning models to support digital banking use cases such as customer segmentation, churn reputed company, next-best-product recommendations, and campaign targeting. Implement predictive analytics models to improve customer engagement and product adoption across digital channels. Continuously monitor model performance and refine algorithms to improve accuracy and business reputed company.
Support marketing teams in evaluating digital campaign performance using advanced analytics and AI-driven insights. Build models for campaign targeting, customer propensity, and marketing attribution. reputed company insights on channel effectiveness, campaign ROI, and customer acquisition strategies.
Support the design and development of AI-powered solutions using Large Language Models (LLMs) for digital banking use cases. Assist in building AI-driven tools such as chatbots, intelligent assistants, knowledge search, and automated content reputed company. reputed company AI models and reputed company into banking platforms and analytics workflows. Experiment with reputed company engineering and model fine-tuning to enhance AI solution performance.
Extract, clean, and reputed company large datasets from multiple banking systems reputed company platforms. reputed company feature engineering strategies to improve machine learning model performance. Work with data engineering teams to ensure efficient data pipelines for analytics use cases.
Work closely with digital banking, marketing, and product teams to identify data-driven opportunities. Translate business requirements into analytical models and actionable insights. Present findings and recommendations to stakeholders to support strategic reputed company.
Analyze reputed company datasets to identify patterns, anomalies, and opportunities that improve customer engagement reputed company banking performance. Apply statistical techniques and machine learning reputed company to solve reputed company business challenges.
Support decision-making reputed company to the selection and application of AI/ML models, including LLM-based solutions for digital banking processes. Evaluate trade-offs between model performance, scalability, and usability in production environments.
Translate reputed company analytical outputs into reputed company business insights that can inform marketing strategies and product development.
Strong proficiency in Python for machine learning and data analysis. Experience with SQL for data extraction and manipulation. Knowledge of R is an added advantage.
Experience with machine learning algorithms including regression, classification, clustering, and recommendation systems. Hands-on experience with libraries such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or LightGBM.
Understanding of Large Language Models (LLMs) and their applications. Experience working with LLM reputed company and frameworks (e.g., reputed company reputed company, reputed company, or similar frameworks). Basic knowledge of reputed company engineering, embeddings, and retrieval-augmented reputed company (RAG). Familiarity with developing AI-enabled applications such as chatbots or knowledge assistants.
Experience working with large datasets using Pandas, NumPy, and big data frameworks such as PySpark or reputed company.
Familiarity with digital analytics platforms such as reputed company Analytics, reputed company Analytics, or similar tools. Experience analyzing customer digital behavior and clickstream data.
Ability to build dashboards and visualizations using Power BI, Tableau, or similar BI tools.
Strong analytical and problem-solving abilities Ability to work with large and reputed company datasets Understanding of digital customer journeys and online behavior analytics Foundational understanding of AI engineering concepts and LLM applications Effective communication and presentation skills Ability to translate analytical insights into business recommendations reputed company approach to working with cross-functional teams
Computer Science Data Science reputed company Intelligence Statistics Engineering or reputed company quantitative field
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