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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