Unit Head/Head of Data Science job in Islamabad

Full time On-site @Telenor Microfinance Bank Limited in Administration , in Services , in Telecommunications
  • Islamabad, Islamabad Capital Territory, Pakistan, 45600
  • Post Date : June 15, 2023
  • Apply Before : August 2, 2023
  • Salary: Negotiable
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Job Detail

  • Job ID 15655
  • Experience 8 Years
  • Gender MaleFemaleTransgender
  • Industry Telecommunications
  • Qualifications Bachelor’s Degree

Job Description


  • Utilize existing data warehouse and other structured/unstructured data from different source systems to create comprehensive customer profiles.
  • Provide thought leadership on integrating AI and Data Science into different business areas.
  • Collaborate with business heads and departments to deliver advanced analytics, data modeling systems, and actionable insights.
  • Work closely with the BI team as a custodian of data science projects, bridging the gap between commercial users and Technology.
  • Develop statistical models for predictive analytics, clustering, segmentation, product optimization, recommendation engines, and association rule mining in an open-source architecture.
  • Gain a deep understanding of the organization’s business and customer lifecycle across various segments, including branchless, digital lending, and branch lending.
  • Perform ad hoc investigative analytics, profiling exercises, and complex SQL queries as part of daily activities.
  • Contribute to the development, automation, and governance of data science projects, enhancing customer understanding and enabling targeted campaigns.
  • Deliver persuasive presentations on the outcomes of data science projects to stakeholders with diverse areas of expertise.


Minimum Requirements:

  • 8+ years of proven experience solving complex business problems using AI/ML and Data Science, with a focus on actionable solutions across the customer journey. Minimum 2 years of team management experience.
  • 3-4 years of hands-on experience with Python/R/SCALA and statistical programming tools such as SAS/SPSS/MATLAB. Strong familiarity with data science toolkits like Pandas, Jupyter, SCIKIT, and TensorFlow.
  • Proficiency in executing complex queries, extracting, cleansing, and manipulating large structured and unstructured data sets using SQL and NoSQL databases.
  • Agile experience with iterative development and business feedback.
  • Bachelor’s or Master’s degree in Computer Science, Analytics, Applied Mathematics or Statistics, Engineering, or related field.
  • Ability to provide strategic insights and recommendations to support decision-making.

Important Note: Before apply make sure your profile must be complete as candidate.


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