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Data Scientist (Data Analyst/ Azure / Data Mining / Finance / SQL) – Port Louis, Mauritius

Port Louis, Mauritius
A well-known Mauritian commercial bank is seeking to hire a Data Scientist that will help them discover the information hidden in vast amounts of data and help them 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 their 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).
 
Reference Number: CLDRSB01
 
Job Description:
The Data Scientist provides data analysis and model building in collaboration with and in support of the Head of Data and data champions. Will support the client’s strategy by analyzing 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.
 
Responsibilities:
  • 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)
  • Analyzing large amounts of information to discover trends and patterns and provide the business with necessary insights
  • Using these insights to influence how an organization 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
 
Requirements: Qualification and Skill
  • At least BSc/BA in Computer Science, Engineering, Data Science, or another 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
  • 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)
  • Proven experience in working with key stakeholders within the business

If you wish to apply for the position, please send your CV to Clifford Ndlebe at cndlebe@caglobalint.com
 
Please visit www.caglobalint.com for more exciting opportunities.
 
Clifford Ndlebe  | Recruitment Consultant
CA Finance Recruitment  | Tel: +27216599200
cndlebe@caglobalint.com  

Please note only shortlisted candidates will be contacted. All CV's will be saved on our database for future positions.
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