NCBA Group Head, Data Science Job
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NCBA Group Head, Data Science Job
Head, Data Science Job, Current IT Jobs In Kenya,
Job Purpose Statement
Enterprise Data Management (“EDM”) is a process that seeks to ensure Data in NCBA Group PLC is accurate and consistent to meet the strategic and business goals. “EDM” has eight key capabilities i) Data Architecture (DA); ii) Data retention & archiving (DRA); iii) Data quality management (DQM); iv) Metadata management (“MM”); v) Master data Management (MDM); vi) Data privacy & security (DPS) vii) Business Intelligence and Analytics (BIA) and viii) Data governance.
Responsibilities
- “The Bridge,” closes gaps between data science and business, acting both as a data science visionary and a technical lead for the organisation.
- Ensure the business creates additional value through the utilization of data assets and analytics.
- Define best practices for data science processes, from team functional design, problem definition to presentation.
- Consistently identifying and monitor key business risks and realizing the data needs of the business.
- Drive experimental data modelling designs within the business.
- Drive development of effective credit risk management models across the group
- Guide the professional and technical development of data science capability within the unit
- Quality leadership that effectively translates to a favourable environment and employee satisfaction.
Ideal Job Specifications
Academic:
- Bachelor’s degree in Statistics, Data Science, Mathematics, Computer Science or any other related quantitative field. A working experience of the same is also acceptable for the position.
Professional:
- Big Data or Data Science certification from recognized institutions is a big plus
- Head, Data Science
Desired work experience:
- At least 6 years of working experience in a data science position.
- Highly skilled in statistical and modeling packages such as SAS, Matlab, R, Python and other advanced analysis tools.
- An expert in data management programming such as SQL, PL-SQL as well as being familiar with the workings of motion-tracking data and time-series analyses.
- Have a proven and successful track record of leading high-performing data science teams, leading through the successful performance of advanced quantitative analyses and statistical modeling that positively impact business performance.
How To Apply
Closing Date : 15th October 2023
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