Summary
Date Posted: Monday, February 03 2025, Base Salary: Not Disclosed

JOB DETAILS:
Key Responsibilities:
• Advise the business leadership teams on analytics value opportunities on an ongoing basis and translate business problems into specific analytics and technology enabled solutions.
• Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions through Advanced Analytics and the use of various data mining techniques such as exploratory data analysis and statistical analysis.
• Create descriptive, predictive and prescriptive advanced analytics solutions and models that will support various business initiatives and result in actionable insights and recommendations, operational decisions and ensure effective business outcomes. This includes development of clear, concise reports, visualizations and presentations for use by business teams.
• Develop and maintain user and technical documentation/manuals on business requirements (business questions and hypothesis), data sources, ETL related activities, data quality assessment, data cleansing activities, data mining analyses, models developed, reports generated and statistical solutions developed and deployed.
• Assess the effectiveness and accuracy of new data sources including supporting implementation of data governance activities (e.g. data quality, accuracy and cleansing strategies) and develop processes and tools to monitor, analyze and tune model performance.
• Work with both structured and unstructured data including transforming of large, complex datasets into pragmatic and actionable insights.
• Utilize industry standards and methodologies such as CRISP-DM in the analysis and development of advanced analytics solutions and development of best practices for model development, data mining, management, maintenance, reporting and security.
• Drive innovation through Advance Analytics democratization initiatives such as creating awareness and assisting business in understanding the power and value of analytical approaches to decision-making, evangelizing through e-learning, training business on how to use some of the advanced analytics tools, showing them how to interpret results, insights and contribution to the organization’s strategic goals and influence their decision-making processes.

MINIMUM POSITION REQUIREMENTS:
• A Bachelor's degree in Mathematics/Business/Economics/Statistics/ Actuarial Science/ Computer Science or equivalent education from a recognized institution.
• Minimum 5 years of proven data science experience.
• Proficiency in SQL (Oracle PL/SQL) and unstructured data mining techniques.
• Proficiency in Data Visualization using either of Oracle OBIEE, Power BI, Tableau, Click View.
• Broad understanding of latest Data Science, Analytics and Technology trends and their impact on business strategies and operations.
• Experience in the use of Machine learning algorithms and techniques such as supervised and unsupervised machine learning, clustering, neural networks, reinforcement learning, decision trees, regression, and adversarial learning.
• Demonstrated expertise in querying, extracting and manipulating large datasets from various sources (Relational Databases, text and pdf files, websites etc.) and visualizing/presenting data as reports or actionable insights to stakeholders.
• Have extensive statistical analysis and/or data science experience utilizing common data science tools such as Python.
• Excellent team collaboration skills with the ability to work in big organizations and influence people.
• Excellent verbal, written, and data presentation skills
• Flexible and capable of handling multiple tasks in a fast paced, high volume environment.
• Have an inquisitive nature with an aptitude to diagnose and tackle analytically complex business problems.
• Experience in implementing Banking/Financial data science use cases.

Work Hours: 8

Experience in Months: 60

Level of Education: Bachelor Degree

Job application procedure
• Data Scientist

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