Senior Data Scientist at NMB Bank November 2025

Organization: NMB Bank Plc Department: Innovation (Data Science Sub-unit) Location: Head Office, Dar es Salaam Reports to: Head of Innovation Application Deadline: 09 December 2025

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Job Overview

NMB Bank Plc is Tanzania’s leading financial services provider, committed to driving digital transformation and financial inclusion. We are currently seeking a visionary and technically proficient Senior Data Scientist to join our Innovation Department.

In this pivotal role, you will lead the delivery of our Artificial Intelligence (AI) and Machine Learning (ML) strategy. As the banking landscape shifts towards data-driven decision-making, you will be at the forefront of this evolution, designing intelligent algorithms and predictive models that not only solve complex business problems but also create personalized experiences for our millions of customers.

If you are passionate about using data to drive innovation, optimize risk controls, and shape the future of banking in Tanzania, this is your opportunity to make a tangible impact.

Job Purpose

The Data Science sub-unit is a key strategic differentiator for NMB Bank. The Senior Data Scientist will be responsible for extracting valuable insights from vast datasets using a combination of statistical analysis, deep learning, and advanced programming.

Your primary objective will be to design and implement predictive models that enhance management decision-making. You will bridge the gap between raw data and business strategy, ensuring that NMB Bank remains competitive in a rapidly changing digital landscape.

Key Responsibilities & Strategic Deliverables

The role requires a balance of high-level strategic thinking and hands-on technical execution.

1. Strategic Planning & Innovation

Data Strategy Implementation: Drive the adoption of data science techniques to analyze and interpret large volumes of structured and unstructured data.
Business Transformation: Lead initiatives that use data for personalization, behavioral incentives, and proactive fraud detection. You will explore how data can be used to build creative solutions that drive organizational change.
Adoption of Analytics: Support the utilization of advanced analytical methodologies across all banking businesses and operations, ensuring that data insights are actionable and accessible to stakeholders.
Ethical AI: Champion the adoption of ethical Artificial Intelligence and Data Science design principles, ensuring that our models are morally right, socially responsible, and compliant with data privacy regulations.

2. Advanced Data Modeling & Machine Learning

Deep Learning Frameworks: Implement and optimize modern deep learning frameworks such as TensorFlow, PyTorch, and MXNet to solve complex banking challenges.
Algorithm Development: Guide the development of machine learning algorithms capable of discovering deep patterns in massive datasets. You will apply the underlying theory and principles of ML models to real-world scenarios.
End-to-End Execution: Oversee the entire data science lifecycle, including problem formulation, data collection, preprocessing, exploratory data analysis (EDA), model selection, training, evaluation, deployment, and maintenance.
Internal Product Development: Develop internal algorithmic products, such as ML-as-a-Service APIs, numerical optimization tools, and statistical significance testing frameworks to streamline event data processing.

3. Data Architecture & Platforms

Solution Architecture: Recommend appropriate system solutions and modeling approaches for a variety of business problems, assessing associated risks and scalability.
Big Data Infrastructure: Implement advanced data platforms, such as Data Lakes, responsible for processing, analyzing, and storing unstructured and semi-structured data.
Real-Time Capabilities: Implement real-time analysis capabilities that allow the bank to provide instant, personalized services to customers (e.g., instant credit scoring or fraud alerts).
Scalability Research: Research and explore open distributed architectures to decouple software from hardware, empowering processing capabilities for massive amounts of data and supporting linear platform expansions.

4. Visualization & Stakeholder Management

Data Storytelling: Provide data visualization tools that translate intricate data into coherent visual formats for executive management and non-technical stakeholders.
Knowledge Sharing: Work with other stakeholders to ensure a broad understanding of data science principles. You will act as a mentor, guiding teams on how to leverage AI platforms that provide infrastructure and tools for model development.

Qualifications and Experience

To be successful in this role, you must possess a blend of academic excellence and practical, hands-on experience in data science.

Academic Qualifications:

Bachelor of Science (BSc) in Computer Science, Data Science, Mathematics, Statistics, or a relevant quantitative field.

Professional Experience:

Minimum of 4 years of work experience as a Data Scientist.
Big Data Ecosystems: Proven experience with big data platforms and tools including Hadoop, Pig, Hive, Spark, and MapReduce.
Database Management: Extensive experience with SQL and NoSQL databases.
Programming Proficiency: Expertise in programming languages such as Python, R, Scala, and Perl, as well as SQL for data manipulation.
Algorithm Implementation: Deep experience in data mining and machine learning algorithms and their practical implementation.
Data Handling: Demonstrated experience manipulating and analyzing large datasets.
Industry Knowledge: Experience in the Financial Services or Banking sector is considered a significant bonus.

Key Skills & Competencies:

Technical Mastery: Strong command of ML techniques, BI & Data Warehousing, and ETL frameworks.
Mathematical Aptitude: Strong mathematical and numeracy skills are essential for statistical modeling.
Problem Solving: Excellent analytical, creative, and problem-solving skills with a data-oriented personality.
Communication: Excellent verbal and written communication skills, with the ability to interact effectively with people at all levels of the organization.
Autonomy: Ability to work independently with limited supervision, prioritize tasks, meet deadliness, and work under pressure.

Why Join NMB Bank?

NMB Bank is an Equal Opportunity Employer committed to creating a diverse and inclusive environment. We strongly encourage applications from female candidates and people living with disabilities.

By joining us, you will be part of a team that is redefining banking in Tanzania. You will have access to cutting-edge technology, a collaborative work environment, and the opportunity to work on projects that directly impact the financial well-being of millions of Tanzanians.

Important Note: 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.

How to Apply

Job Type: Full-time Closing Date: 09 December 2025

If you are ready to lead our data revolution, please submit your application through the link below.

CLICK HERE TO APPLY

Only shortlisted candidates will be contacted.