We are looking for Data Scientist with a strong business acumen and excellent analytical skills.

 

Purpose:

 

We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. You will also be responsible for managing the data related infrastructure and toolsets responsible for enabling the Data and Insights function (i.e. ETL layer & Data Lake / repository).

 

Key Responsibilities:

 

The Data Scientist provides data analysis and model building in collaboration with and in support of the Head of Data and data champions in the bank. Will support the bank strategy by analysing vast amounts of raw data to find patterns and help to build models that will help improve profitability, our customers’ experience, improve processes, and mitigate risks.

 

The below skillset is critical for success within the role:

 

    • Identifying valuable data sources and automating collection processes
    • Extending company’s data with third party sources of information when needed
    • Processing, cleansing, and verifying the integrity of structure and unstructured data used for analysis
    • Managing the data and analytics infrastructure (DB, ETL layer, Reporting tools)
    • Analysing large amounts of information to discover trends and patterns and provide the business with necessary insights
    • Using these insights to influence how an organisation approaches business challenges
    • Building predictive models and machine-learning algorithms
    • Combining models through ensemble modelling
    • Presenting information using data visualization techniques
    • Proposing solutions and strategies to business challenges
    • Making recommendations to adapt existing business strategies
    • Collaborating with the rest of the DnA team, IT, and product development teams to achieve your goals and the DnA teams objectives

 

Qualifications & Experience:

 

    • At least BSc/BA in Computer Science, Engineering, Data Science or other quantitative related field
    • 3-5 years of proven experience as a Data Scientist or Data Analyst
    • Deep knowledge and experience working with the Microsoft data related stack (Azure Data Lake, ADFS, etc.);
    • Experience on the data services on a cloud platform like Azure, AWS or Google cloud
    • Experience in data mining
    • Experience with mySQL and NoSQL databases, such as MongoDB, Cassandra, HBase
    • Understanding of machine learning and operations research
    • Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
    • Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
    • Proficiency in using query languages such as SQL, Hive, Pig
    • Proven experience in working with key stakeholders within the business

 

Core Competencies:

 

    • Analytical mind and business acumen
    • Strong math skills (e.g. statistics, algebra)
    • Excellent communication and presentation skills (Ability to communicate findings to all levels within the bank)

 

Up for this Amazing Challenge?

 

You are invited to send your resume and motivation letter to [email protected] or through our career page on www.bankone.mu

 

Closing date: 06th February 2023

 

Incomplete applications will not be considered and only the best candidates will be called for an interview.

 

Management reserves the right not to make any appointment following this advertisement.

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