Data Scientist

We are looking for a Data Scientist with a strong technical (IT) background to work. You will analyse large amounts of raw information to find patterns that will help improve business decisions.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyse trends and assist in the implementation of our AI strategy.

 

Objectives of this Role

Collaborate with technical teams to determine data available/required for monitoring

Research and devise innovative statistical models for data analysis

Enable smarter business processes and implement analytics for meaningful insights

Keep current with technical and industry developments

Communicate findings to all stakeholders

 

Responsibilities:

Identifying and integrating new data sets that can be leveraged to improve the detection processes and strengthen the overall business functions.

Work closely with the technical team to strategize and execute the development of data orientated products

Enhancing data collection procedures to include information that is relevant for building analytic systems

Processing, cleansing, and verifying the integrity of data used for analysis

Doing ad-hoc analysis and presenting results in a clear manner

Analyze data for trends and patterns, and interpret data

Implement analytical models into production by collaborating with software developers and machine learning engineers.

 

Minimum Requirements:

B. Sc or B. Com in Computer Science, Applied Mathematics, Statistics, Data Science and Analytics or equivalent diploma

2+ years of Big Data with project management experience in the fin-tech industry

Understanding of AI/ML.

 

Knowledge / Skills:

3 to 4 years’ experience in data intensive industries such as banking or financial services is preferred

Proficiency with data mining, mathematics, and statistical analysis

Advanced pattern recognition and predictive modelling experience

Experience with coding languages and data science packages such R,  Python (Pandas, NumPy, Jupyter notebooks), Java, etc. Excellence in at least one of these is highly desirable

Experience with cloud-based services such as Azure, AWS, etc

Proficiency in using query languages such as SQL

Experience with Excel, PowerPoint, PowerBI

Comfort working in a dynamic, fast moving company

 

Attributes:

Self-motivated and assertive

Strong analytical ability

Strong verbal and written communication/ presentation skills;

Team player and ability to operate independently

Good interpersonal skills

Trustworthy

Ability to prioritise

Ability to work in a pressured environment

Deadline driven

Apply here






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