un jobs

• The incumbent will be in charge of upkeep, re-calibration, development, and deployment of new predictive and prescriptive models.
• The incumbent will use their analytical, statistical, and programming talents to collect, analyze, and understand huge amounts of data in order to give insights and data-driven solutions to tough and strategic business challenges.

Responsibilities and Duties
Modeling Predictive

• Manage various parts of existing scorecards/models.
• Maintain and update existing scorecards and/or predictive models.
• Create new prediction models.
• Advanced data analytics and mining techniques are used to analyze data, analyzing data validity and usability; data results are reviewed to verify the accuracy, and results and insights are communicated to stakeholders.
• Identifies data trends, patterns, correlations, and discrepancies and determines what further data is required to support insight. Processes purify and validate data for analysis.
• Identifying, interpreting, and explaining the reasons that lead to particular business outcomes.
• Forecasting and predicting likely future business results.
• Identifying essential business operations aspects to modify, eliminate, or introduce in order to improve business outcomes.
• Create, maintain, and improve advanced mathematical and statistical models for many elements of the business.
• Apply supervised and unsupervised learning techniques to a variety of situations.
• Modeling, both predictive and prescriptive.
• Solving difficult analytical difficulties for the company.
• Creates predictive solutions by applying diverse mathematical, statistical, and simulation techniques to big and unstructured data sets in order to answer crucial business problems and enhance business outcomes.
• Using various tools, use data profiling and visualization strategies to analyze and explain data features that will guide modeling approaches.
• Data is mined utilizing cutting-edge techniques. Improves data gathering techniques by including information useful for constructing data models.
• Performs data pre-processing tasks such as data modification, transformation, normalization, standardization, visualization, and the development of new variables/features.
• Create and communicate business insights.
• Maintain and improve prediction models that are already in use.
• Analyze business needs/problems by identifying, defining, and translating them into analytical questions.
• Use statistical and computational approaches to generate actionable insights and discover opportunities to maximize Gross Profit.
• Assist in the creation of scalable, efficient, and automated methods for large-scale data analytics, as well as model development, validation, and implementation.

DESIRED EXPERIENCE AND QUALIFICATION

Work Experience and Experience

• Bachelor’s degree with honors in mathematics, statistics, or actuarial science.
• Experience of 4+ years

Technical Skills Required

• SAS (Base, Enterprise Guide, and Enterprise Miner)
• Excel benefits from Python R

Behavioral Skills Required

• Thinking outside the box
• Making a decision and taking action
• Using knowledge and technology
• Analyzing
• Creating outcomes and exceeding consumer expectations
• Managing stress and setbacks
• Collaboration with others
• Observing principles and values
• Relationships and networking
• Persuasion and influence
• Organizing and planning
• Change adaptation and response

Related links

government jobs
civil service jobs
dpsa vacancies
job vacancy
post office recruitment 2021

Click here for additional information