Productionalise analytical pipeline and data science pipeline
Own and monitor objective key results (OKRs) related to hyper-personalization efforts, such as time-to-production, MVP deliver per quarter.
Collaborate with cross-functional teams to align hyper-personalization initiatives with overall business objectives and marketing strategies.
Stay updated on industry trends, emerging technologies, and best practices in hyper-personalization to ensure the organization remains at the forefront of innovation.
Assisting the Business Analytics and Data Science squad in transitioning their use cases to production, including liaising with the BAU team and transferring pertinent knowledge to facilitate seamless integration.
Advocating for self-service analytics capabilities by encouraging the utilization of advanced data visualization tools and establishing a comprehensive knowledge repository for reusable data assets
The Successful ApplicantBachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field.
More than 5 years of experience in data engineering or data science roles, preferably within the banking or financial industry.
Strong background in AI/ML model development, feature engineering, and model deployment, with a track record of implementing machine learning solutions in real-world scenarios.
Proficiency in cloud technologies, such as AWS, Azure, or GCP, with hands-on experience in building cloud-based data solutions and leveraging real-time analytics capabilities.
Expertise in data engineering concepts, including data pipelines, ETL processes, and data integration frameworks.
Familiarity with advanced data visualization tools like OAS, Power BI or similar platforms.
Solid understanding of data governance, data quality, and data security principles.
Programming skills in languages like Python, SQL, or Java, with experience in working with large datasets and distributed computing frameworks (e.g., Spark).
What's on Offer A flexible working arrangement with a purpose driven team environment to learnA well remunerated position with strong growth potentialBe a part of a pioneer team with new and exciting technologies
ContactJ-Shan LokeQuote job refJN-092024-6540976Phone number6018 357 1848
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