Senior Data Scientist (1 Position(s))
Job Location :
Head Office, Hq
Job Purpose:
Data Science is a sub-unit under the Innovation Department in charge of leading the delivery of the Artificial Intelligence and Machine Learning strategy to ensure NMB can compete in a changing landscape where data science is a key future-oriented strategic differentiator.
The Data Scientist will use a combination of statistical analysis, machine learning, data visualization, and programming skills to extract valuable information from data. Design and implement predictive models or intelligent algorithms to better understand the drivers of business performance and enable improved management decision-making.
Main Responsibilities:
Strategic Planning
Implement data science techniques in analyzing and interpreting large volumes of data
Drive the use of data for personalization, drive behavioral incentives, risk controls, and proactive fraud detection.
Support utilization of advanced analytical methodologies and intelligent algorithms in all parts of the banking businesses and operations.
Explore how data can be used towards building solutions that are innovative, creative and drive change.
Data Modelling
Implement modern deep learning frameworks (Tensorflow, PyTorch, MXNet, etc).
Guide on machine learning algorithms that can find deep patterns and insights in large volumes of information
Apply underlying theory, principles and application of machine learning models.
Work with other stakeholders in ensuring a broad and wide audience on these underlying principles and theories.
Implement data science processes like problem formulation, data collection, data preprocessing, exploratory data analysis, model selection and training, evaluation, deployment, interpretability, regular updates and maintenance.
Implement algorithmic products leveraging core algorithmic data science, Machine Learning and Artificial Intelligence capabilities
Develop internal models/processes, such as machine learning models, numerical optimization, statistical significance testing, ML -as-a-service API development and streamline event data processing.
Adopt ethical Artificial Intelligence & Data science design principles that are morally right and socially responsible
Data Platforms
Recommend appropriate system solutions, modeling approaches, and associated risks for a variety of business problems.
Implement advanced data platforms, such as Data Lake responsible for processing, analyzing and storing unstructured and semi-structured data
Implement real-time analysis capabilities which will allow the bank to provide real time services and personalized user experience.
Provide for data visualization tools that intricate data into coherent visual formats
Research and explore open distributed architecture with the focus to decouple software from hardware, empowering processing capabilities for massive amounts of data and supporting linear data platforms expansions.
Explore artificial intelligence platforms that provide infrastructure, tools, and algorithms to develop, train, and deploy machine learning models that can be used by data scientists, analysts, and developers.
Knowledge and Skills:
Programming languages e.g. SQL, Python and R.
BI & Data warehouse
ML Techniques
Big data platforms
Strong mathematical & numeracy skills
Understanding of reporting & data visualizations tools
Understanding of ETL framework and ETL tools
Excellent analytical, creative and problem-solving skills.
Excellent verbal and written communication skills with the ability to interact effectively with people at all levels.
Ability to work effectively within a team.
Ability to prioritise, meet deadlines and work under pressure.
Ability to work independently with limited supervision
Data oriented personality
Qualifications and Experience:
BSc in Computer Science, Data science, Mathematics or relevant field.
Atleast 4 years’ work experience as a Data Scientist
Experience with big data platforms and tools including Hadoop, Pig, Hive, Spark and MapReduce
Experience with programing languages including SQL, Python, Scala and Perl; and R.
Experience with SQL and NoSQL databases
Experience in data mining & machine learning algorithms and their implementations
Experience with manipulating large data set
Experience in financial services especially in Banking is a bonus
NMB Bank Plc is an Equal Opportunity Employer. We are committed to creating a diverse environment and achieving a gender balanced workforce.
Female candidates and people living with disabilities are strongly encouraged to apply for this position.
NMB Bank Plc does not charge any fee in connection with the application or recruitment process. Should you receive a solicitation for the payment of a fee, please disregard it.
Only shortlisted candidates will be contacted.
Job opening date : 25-Nov-2025
Job closing date : 09-Dec-2025
How to Apply:
Job type Full-time Job, To submit your application, please follow the link provided below.
