Senior Consultant- Data Scientist

TransUnion; Johannesburg; On-site; ZAR 600,000 - 850,000; Full time

Job summary

A global information services company in Johannesburg is seeking a Data Scientist to collaborate on analytical projects within diverse industries. The ideal candidate must possess a Master's degree in a quantitative field and have strong experience in analytics and client engagement. This role includes developing credit risk models and leading projects to provide insights to various clients. A dynamic work environment supporting innovation will be offered.

Benefits

Collaborative work environment

Career development opportunities

Innovative technologies and tools

Qualifications

• 5-7 years of professional experience in analytics and client solutioning projects.
• Experience in developing and presenting credit risk and propensity models.
• Strong project management skills with multiple assignment management.

Responsibilities

• Collaborate with teams to drive analytical products design and development.
• Provide subject matter expertise in predictive and prescriptive analysis.
• Deliver analytic insights and recommendations in presentations.

Skills

Analytical skills

Communication Skills

Problem-solving skills

Project management

Statistical Programming (R, SQL)

Education

Master's degree in Statistics, Mathematics, Computer Science, Engineering

Tools

Microsoft Office

Cloud platforms

Job description

Dynamics of the Role

TransUnion is committed to finding innovative ways information can be used to help businesses and consumers make smarter decisions.

As a data scientist in our team, you’ll join a world class group of data scientists, statisticians and mathematicians on a mission to derive insights from data and put them to good use. You’ll be responsible for developing credit risk, fraud and customer solutions through consulting engagements and research serving TransUnion’s clients across Financial Services, Telecommunications and Insurance Industries.

What we’ll bring

• A work environment that encourages collaboration and innovation on a global scale. We consistently explore new technologies and tools to remain at the forefront of analytical innovation.
• Best in class analytical platforms with proprietary TU analytical tools, shared services and a hybrid-cloud infrastructure
• Our culture encourages our people to hone current skills and build new capabilities, while discovering their genius.

What You’ll Bring

• Honors or Master’s degree in: Statistics, Applied Mathematics, Computer Science, Engineering, or another highly quantitative field.
• At least 5-7 years of professional experience with analytics and client solutioning projects.
• Multiple examples demonstrated success in internal and external client-facing analytical roles over a period of at least three (3) years.
• Extensive experience in developing, interpreting and presenting credit risk and propensity models to internal and external clients.
• Strong written and verbal communication skills ability to clearly articulate ideas to both technical and non-technical audiences, strong presentation skills with comfort presenting to multiple levels within the organisation.
• Strong analytical, critical thinking, and creative problem-solving skills.
• Must be comfortable with presenting generated insights and recommendations to clients.
• Mastery of statistical programming languages such as R, and SQL; proficiency with Microsoft Office tools.
• Operates with little supervision in a complex, dynamic, matrixed environment. Able to handle multiple tasks at one time.
• Strong project management skills with the ability to manage multiple assignments effectively.
• An understanding of current industry challenges and trends at the level needed to proactively identify customers’ analytical needs and related business opportunities.
• Experience and familiarity with analytical consulting.
• Experience working with credit bureau data and solutions preferred.
• Experience with cloud service platforms would be advantageous.

How you will contribute

• You’ll collaborate with cross-functional teams and external partners both locally and internationally to drive the design and development of analytical products and solutions at TU Africa.
• You’ll lead, provide guidance and contribute subject matter expertise in projects involving descriptive, predictive, and prescriptive analysis – leveraging a variety of advanced tools and techniques.
• You’ll deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience.
• You’ll foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.

What we offer

We aim high — and are reaching new heights every day. This is a terrific time to join our team as we build on our commitment to integrity, service, reliability and innovation. These values stand behind the decisions we make every day, as well as our relationships at work and with the clients we serve. We believe in the power to achieve and are taking it in bold new directions.

Who we are

A global leader in credit information and information management services, TransUnion gives businesses, consumers and the global community the power to achieve their goals. Businesses count on us to better manage risk and customer relationships. Consumers are able to better manage credit to achieve their financial goals. And in communities around the world, we help build strong economies and give people the power to achieve their dreams.

Exceptional opportunities are coming as we build on this strong foundation. Our ambitious growth strategy includes substantial new investment worldwide, a wide range of new solutions to help our clients succeed like never before, and new ideas for expanding our reach in every part of our dynamic and fast-moving industry. We’re on an exciting journey and you can be a part of it. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.