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
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.
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
Self-motivated and assertive
Strong analytical ability
Strong verbal and written communication/ presentation skills;
Team player and ability to operate independently
Good interpersonal skills
Ability to prioritise
Ability to work in a pressured environment