Senior Data Scientist

MWL is dedicated to supporting, growing and empowering clients with affordable, simple, and suitable solutions, primarily through telephonic intermediary channels. We have approximately 100 tied sales agents, all dedicated to meeting the financial needs of our clients and prospective clients.

MiWayLife’s vision is to establish a world-class direct financial service business that seeks to:
⦁ offer its clients excellent service, superior value products, and fair treatment always;
⦁ be an employer of choice; and
⦁ be a good corporate citizen and play a meaningful role in the transformation of the Financial Services industry.

MiWayLife’s culture is values-based and is built around the pillars of Accountability, Attitude, Energy Freedom and Professionalism. We are a family of vibrant and energetic free-thinkers, constantly looking to innovate and disrupt.
What will you do?

This role is accountable for rendering data and analytics-based support within MWL to enhance operational effectiveness/innovation, enable better sales and solve business problems. Key responsibilities are:
⦁ Manage the leads pipeline
⦁ Render technical support with selected investigations and data analytics
⦁ Provide input into business plans/projects
⦁ Provide data/analytics support and solutions
⦁ Manage client profiles and segmentations
⦁ Ensure data governance and integrity
⦁ Stakeholder management
⦁ People management
- What will make you successful in this role?

**Qualification & experience**:
⦁ Related qualification in data science/quantitative analysis preferable (maths and statistics)

⦁ Management diploma (preferable)
⦁ 3-5 years’ experience within a data analytics environment

**Knowledge and skills**:
**IT**:
**⦁ MS**: Excel, Word, PP, Outlook, Access
⦁ Pandas (Python), R

**⦁ Standard Data storage reading/writing**: SQL, flat files including CSV
⦁ GLM and Machine learning techniques

**⦁ BI and Big Data tools would be an advantage**: Hadoop, MapReduce, Hive, Pig, Data streaming

**Business**:
⦁ Sound financial services industry knowledge
⦁ A business operating model and strategy
⦁ Digital and alternative distribution operations (including call centres)
⦁ Relevant regulatory legislation and compliance knowledge
⦁ Statistical analysis
⦁ Quantitative modelling/analytics
⦁ Data modelling
⦁ Data management /storage and transformation
⦁ Database design and management
⦁ Architecture and Infrastructure management and enablement
⦁ Data Science solutions for Big Data problems.
⦁ Data governance and security
⦁ Client profiling and behavioural modelling
⦁ MIS and reporting
⦁ Business modelling and feature engineering
⦁ People management

Personal attributes

⦁ Analytical, detail minded, accurate
⦁ Balanced and integrative thinker (conceptual and analytic)
⦁ Synthesis and practicality (translate complex data into simple solutions)
⦁ Innovative in looking for ways to improve process/practice
⦁ Proactive, initiates actions
⦁ Communication skills
⦁ Planning and structuring
⦁ Collaborator
⦁ Problem solver
⦁ Client orientated
⦁ Good communicator
⦁ Able to build relationships/partnerships
Qualification and Experience Degree or Diploma with 1 to 2 years experience. Knowledge and Skills IT Data Analysis Data Collection Data Mining Advanced analytics to address business requirements New technologies and methodologies Personal Attributes Interpersonal savvy - Contributing independently Decision quality - Contributing independently Optimises work processes - Contributing independently Plans and aligns - Contributing independently Build a successful career with us

We’re all about building strong, lasting relationships with our employees. We know that you have hopes for your future - your career, your personal development and of achieving great things. We pride ourselves in helping our employees to realize their worth. Core Competencies Being resilient - Contributing independently Collaborates - Contributing independently Cultivates innovation - Contributing independently Customer focus - Contributing independently Drives results - Contributing independently Turnaround time

Turnaround times

The time taken to complete this process depends on how far you progress and the availability of managers
Our commitment to transformation

MiWayLife is committed to transformation and embracing diversity and our employment equity plan and targets will be considered as part of the recruitment process. This commitment is what drives us to achieve a diverse workplace with employment equity as a key goal to create an inclusive workforce, representative of the demographics of our society as well as people with disabilities.