Data Scientist MMH260506-9

Role Purpose

Accountable for designing and implementing data-driven solutions that contribute to

business value by leveraging statistical models, machine learning algorithms, data mining,

and advanced visualization techniques

Requirements

• 8+ years’ data analysis experience within an insurance environment
• Extensive experience with at least one programming language (e.g.

Python), business analytics software (e.g. SAS) statistical package

(e.g. R)

• Experience in database language (e.g. SQL)
• Deep theoretical understanding of statistical methods and machine

learning techniques

• Understanding of Artificial Intelligence solutions and techniques
• Ability to apply statistical methods and machine learning

techniques to solve business problems

• Formulating business problems to enable statistical modelling
• Selecting the right statistical tools and techniques for the job
• Experience translating statistical findings into business

recommendations

Duties and Responsibilities

Key Accountabilities/Kras/Kpis

• Identify and develop Predictive and Prescriptive Models to enable

better decision making of business.

• Identify, understand and interpret data structures across various

databases within the business to facilitate data analysis and continuous

monitoring activities.

• Delve into insights in data and processes to help improve the business.
• Contribute to the development of differentiated; superior solutions

that meet stakeholder and business requirements through analysis;

business requirements gathering and designs validation.

• Ensure product and/or solution design is congruent with the required

business specifications through meeting stakeholder requirements

timeously.

• Enable the realization of the financial business benefits accruing

including minimization of operational costs by ensuring that solutions

are implemented effectively.

• Model and frame business scenarios that are meaningful and which

impact on critical business processes and/or decisions.

• Participate and/or lead discovery processes with business stakeholders

to identify problems and opportunities that may be addressed with

statistical modelling or machine learning.

• Collaborate with business to define approach to resolution of key

business problems or development of new business strategies.

• Contribute to the business by highlighting possible opportunities for

process improvement and business value creation.

• Identify and develop the hypothesis testing framework and modelling

approach to address the business requirements.

• Identify available and relevant data, potentially leveraging new data

collection processes such as social media.

• Make strategic recommendations on data collection and experimental

design incorporating business requirements and knowledge of best

practices.

• Prepare the data for analysis and modelling, which includes data

cleaning, standardization, transformation, dimension reduction and

feature engineering.

• Identify and train suitable models/algorithms to discover patterns and

make predictions.

• Extend existing code and develop custom code to implement statistical

models, machine learning algorithms and data mining techniques for

large datasets in a computationally efficient manner

• Compare model performance, select the best algorithm for the job

and be able to motivate this choice in a non-technical manner.

• Interpret results and translate findings into clear and actionable

insights that can be easily validated with the project sponsor.

• Communicate findings to business with various skill levels and in

various roles, presenting trends, correlations and patterns found in

complicated datasets in a manner that clearly and concisely conveys

meaningful insights.

• Assist business users in the use of the models and interpretation of

model output.

• Assist with monitoring and reporting on model accuracy after it has

been embedded in operations

• Provide authoritative, expertise and advice to clients and stakeholders.
• Build and maintain relationships with clients and internal and external

stakeholders.

• Contribute to the process of negotiating objective and realistic service

level agreements, monitor appropriateness and recommend

adjustments.

• Define service practices which build rewarding relationships,

encourage innovation and allow others to provide exceptional client

service.

• Deliver on service level agreements made with clients and internal and

external stakeholders to ensure that client expectations are met.

• Make recommendations to improve client service and fair treatment

of clients within area of responsibility.

• Participating in and contributing to a culture which builds rewarding

relationships, facilitates feedback and provides exceptional client

service.

As an applicant, please verify the legitimacy of this job advert on our company career page.

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