Data Scientist | Data BU | CXO Office | February 2026 at Job Opportunities | MCB Group

, , Mauritius -

Full Time

Start Date

Immediate

Expiry Date

14 May, 26

Salary

0.0

Posted On

13 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, R, SQL, Machine Learning, Optimization, Statistical Inference, Spark, Hadoop, Databricks, Flink, AWS, Azure, GCP, MLOps, scikit-learn, TensorFlow

Industry

Financial Services

Description

Data BU is a team of Data enthusiasts who drive the improvement of data availability, quality, literacy and insightfulness at MCB by empowering business users and bringing innovation and efficiency across the data value chain.This opportunity is ideal for individuals who aspire to play a strategic role in translating complex data into actionable insights, driving measurable business value, and shaping enterprise-wide decision-making through cutting-edge data science solutions. We are on the lookout for: Job Vacancy: Data Scientist The Data Scientist will be responsible for designing, developing, and deploying advanced analytics and machine learning models that generate tangible business impact. This role blends scientific rigor with strategic thinking to translate complex business problems into data-driven solutions, supporting innovation and informed decision-making across the organisation. In this role, you will, Lead complex analytical initiatives by developing and operationalizing advanced predictive, prescriptive, and causal models that address critical business challenges; Translate strategic business questions into data-driven hypotheses, analytical frameworks, and measurable outcomes; Assess and enhance data quality by ensuring robustness, consistency, and completeness across diverse data sources; Design, code, test, and maintain scalable algorithms and analytical pipelines using standardised software engineering practices and tools; Champion the development of reusable data science assets and frameworks, fostering scalability and consistency across analytics projects; Collaborate closely with business stakeholders, product owners, and data engineers to design end-to-end data-driven solutions — from data ingestion to model deployment; Lead experimentation and A/B testing frameworks, quantifying the impact of data products and recommending corrective or optimisation actions; Mentor and guide junior data scientists, building technical depth and promoting analytical best practices within the team; Communicate complex model outputs and insights effectively to non-technical audiences through compelling storytelling, visualisation, and business narratives; Stay ahead of emerging technologies and methods in AI, machine learning, and statistical science; proactively experiment with new techniques such as deep learning, reinforcement learning, and generative AI; Contribute to the growth of MCB’s Data Science capability, supporting knowledge sharing, training, and internal community-building efforts; Uphold MCB Group’s data ethics, governance, and compliance standards, ensuring models and insights are responsibly developed and deployed. To succeed, you will be required to demonstrate the following competencies: Coaches others to analyze information and evaluate alternatives to solve problems; Chooses the right technologies and tools to improve performance; Creates an environment that promotes cross-functional analysis and decision making; Creates a culture where experimenting to find new solutions is valued and supported; Builds support for ideas among key stakeholders and decision makers; Communicates effectively to a wide variety of audiences at all organizational levels; Begins to build relationships across a variety of functions and areas; Creates flexibility in the organization that is needed to respond to varied stakeholder needs; Invites and incorporates constructive feedback from others; Coaches others in finding solutions and accomplishing goals despite incomplete information; Demonstrates a strong drive to achieve meaningful results; Builds a cohesive leadership team that drives the goals and success of the organization. We are looking for a candidate who has a minimum of: Either A Bachelor Degree in Mathematics, Finance, Statistics, Computer Science, Data Science, Engineering, Economics, or a related quantitative discipline; 3 years of professional experience in data science or applied analytics, with a proven track record of delivering production-grade models end to end; Strong proficiency in Python and/or R for data science and analytics; Solid understanding of machine learning, optimisation, and statistical inference; Proficiency in SQL and exposure to big data platforms such as Spark, Hadoop, Databricks, or Flink; Working knowledge of cloud platforms (AWS, Azure, or GCP) and MLOps tools for deployment and monitoring; Experience integrating analytical models into business systems and APIs. OR A Diploma in Mathematics, Finance, Statistics, Computer Science, Data Science, Engineering, Economics, or a related quantitative discipline; 8 years of professional experience in data science or applied analytics, with a proven track record of delivering production-grade models end to end; Strong proficiency in Python and/or R for data science and analytics; Solid understanding of machine learning, optimisation, and statistical inference; Proficiency in SQL and exposure to big data platforms such as Spark, Hadoop, Databricks, or Flink; Working knowledge of cloud platforms (AWS, Azure, or GCP) and MLOps tools for deployment and monitoring; Experience integrating analytical models into business systems and APIs. You will also be required to demonstrate: Experience with ML libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost, or H2O; Competence in data visualisation and storytelling using tools such as Power BI, Tableau, or Qlik; Exposure to NLP, computer vision, or generative AI techniques as an advantage; Experience in banking, financial services, or fintech as an advantage; Strong stakeholder engagement and communication skills; A proactive, ethical, and quality-driven approach to analytics and model development. Should this opportunity match your career aspirations, skills and competencies, click on ‘Apply’ to complete your online application. Please ensure all required information is accurately entered in relevant sections. Any incomplete application will not be considered. Kindly attach a complete CV when applying. Note that candidates under consideration for this position will be required to provide 2 professional references. As part of the recruitment process, shortlisted candidate(s) will be required to provide a valid Certificate of Character of less than 3 months. The deadline for submission of application is 23 February 2026. The Management reserves the right not to appoint anyone following this advert. #LI‑Onsite

Responsibilities

The Data Scientist will design, develop, and deploy advanced analytics and machine learning models to generate tangible business impact, translating complex business problems into data-driven solutions. Key duties include leading complex analytical initiatives, developing predictive models, assessing data quality, and collaborating with stakeholders on end-to-end data solutions.