Data Scientist

Data Scientist
ID : 1727
Education level  : Master's degree
Work experience level  : Experienced- (4-7 year experience)
Work experience in total  : Years
Job type  : Online
Job time  : Maandelijks
Last date of registration :
Profile description

A highly motivated graduate of University of Technology, Sydney (UTS) with a master’s degree in IT (Data Analytics). A self-starter with a strong analytical and problem-solving skills. Demonstrated experience working independently and as a part of a team in multiple domains such as Insurance, Retail and Leisure. Persuasive and engaging communication skills with strong presentation and report writing experience. Strong ability to adapt quickly and professionally to new challenges. Seeking to grow career in the Data and Advanced Analytics field.

Work experience In details :
Job position
Job description

Data Scientist/ Senior Data Scientist - OCTAVE | John Keells Holdings PLC, Sri Lanka - (2019 - Present)

  • Conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance
  • Build models using supervised/unsupervised learning techniques of varying complexity
  • Work on the end-to-end process including initial business requirement/problem identification, Data engineering, exploratory analysis, data modelling, data visualization and finally impact tracking on use cases in multiple domains such as Insurance, Retail and Hotels
  • Work closely with data engineering teams to make sure the data pipelines are complete and well-integrated to provide a complete analytics solution
  • Collaborate with senior data scientists in building and delivering analytics models
  • Communicating results and complex technical concepts to both technical and non-technical audience
  • Contribute to knowledge building and sharing by researching best practices, driving ideation around the modeling process, documenting solutions and continuously iterating on new ways to solve problems
  • Supervise and mentor juniors in the use case building and delivery process
  • Business problems covered include but not limited to customer churn, cross-sell/up-sell, optimization problems (marketing, warehouse), customer acquisition and retention, etc.

Data Scientist - Union Assurance PLC (A John Keells Company), Sri Lanka - (2018 - 2019)

  • Apply Statistical and Machine Learning methods to specific business problems in the insurance domain
  • Understand data, perform data exploration, cleaning, preparation and feature engineering; in addition to time spent on execution such as building a POC, validation/AB testing, developing an API and deployment
  • Design, develop and evaluate highly innovative models for predictive learning in multiple use cases
  • Communicate results to diverse audiences including both technical and non-technical teams with effective writing and visualizations using platforms such as Power BI and Tableau
  • Identify and execute on high impact projects, triage external requests, and make sure to bring projects to conclusion in time for the results to be useful and impactful

Analyst Programmer - Telstra | BTSM, Sydney, Australia - (2016 - 2018)

  • Writing code in JavaScript, Jellyscript and other languages to develop business rules, client scripts, forms, workflows, automations and UI action based on business requirements, technical design and specifications
  • Developing test plans, test cases & performing system and unit testing and logging defects
  • Fixing defects from new releases and performing regression testing
  • Updating existing and creating new technical documentation, user manuals and operational processes
  • Researching and evaluating new features of platforms and implementing them to meet business needs in consultation with business and technical stakeholders
  • Taking part in agile sprints to perform upgrades, release, patches & hot fixes
  • Adhering to ITIL practices such as change management, releases management and problem management
Hard skills
  • Tools and Technologies:
    • R – studio
    • Anaconda
    • Databricks
    • Pycharm
    • Azure Devops / Git
    • Azure Data Factory
    • Power BI / Tableau
  • Programming Lnguages & Frameworks:
    • Python / Pyspark
    • R - Programming
    • SQL
    • M language and DAX
    • Java
Soft skills
  • Data Analysis/ Statistical modeling
  • Project management
  • Decision Making
  • Leadership/ Team Building
  • Problem Solving/ Critical Thinking
  • Communication
  • DevOps Operations
  • Customer Delivery


  • Retaining Customers with Data: retaining-customers-with-data-8f1b9cbf2e52


  • Microsoft Azure Fundamentals
  • McKinsey - Problem Solving
  • McKinsey - Team Management
  • McKinsey - Communicating for Impact
  • McKinsey - Mastering Challenging Conversations
Special notes

A well experienced and highly skilled Data Scientist with experience in Data Analysis/ Statistical modeling, Project management, Decision Making, Leadership/ Team Building, Problem Solving/ Critical Thinking, Communication, DevOps Operations, Customer Delivery.

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