Assistant Manager Data Science

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Job Overview

Location
Islamabad, Islamabad
Job Type
Full Time
Date Posted
1 hour ago

Additional Details

Job ID
2164
Job Views
7
Work Mode *
Hybrid

Job Description

Last Date to Apply: 16th December, 2025

Employment Type: This is a permanent role.

Job Group: This is a Job group 2B role.

Location: The role is based in Islamabad, Pakistan (Hybrid)




About the role:

You will be responsible for promoting the use of AI/ML and data analytics within the organization, and ensure development and deployment of data science models and AI solutions to support business objectives. You would be required to understand, identify and position data analytical solutions & services that are aligned with the strategic vision of Telenor's Business.




You will work in close coordination with the Business units to help them in achieving their KPIs efficiently and to address their problems through creative application of AI/ML methodologies.




Your Impactful goals will include:

  • Use the help of data science to solve key business problems and transform conventional practices to automated, data driven models.
  • Solve business problems with keen understanding of data wrangling, analysis, and interpretation of complicated, disparate datasets.
  • Identify valuable data sources and automate collection processes.
  • Undertake preprocessing of structured and unstructured data.
  • Analyze large amounts of information to discover trends and patterns.
  • Build predictive models and machine-learning algorithms.
  • Combine models through ensemble modeling.
  • Ensure development and deployment of AI/ML solutions.
  • Present information using data visualization techniques.
  • Propose solutions and strategies to business challenges.
  • Collaborate with engineering and product development teams.
  • Perform in-depth study of business processes for thorough improvement.
  • Lead trainings or knowledge sharing sessions on LLM advancements, model updates, or best practices for the organization.


Key Performance Indicators:

  • Use of Agile model development to pivot as required.
  • Establish the value of data science across organization by making it useful and accessible.
  • Proactivity shown in finding alternative solutions to problem solving.
  • Stakeholder feedback/ review on deliverables shared.
  • Collaborate with internal and external stakeholders to achieve completion of tasks.


Your Typical day at work

Understand business pain points and design problems to be addressed with AI/ML as required.

Gather data from disparate sources and perform relevant aggregations in SQL.

Work on large datasets in python for pre-processing, modeling, and visualization.

Close co-ordination with other functional units e.g. Business Intelligence, Segments, Technology, S&D, and other commercial stakeholders.

Build strategic partnerships with key stakeholders within the organization and develop/enhance the culture of utilizing Business Insights and AI/ML solutions across the organization.

Understanding data-based decision making through strong interest in analytical thinking. A good understanding of Marketing, Statistics, Economics and Brands.

Establish the value of data science across the organization by making it useful and accessible.




What we are looking for?

Education: BS in Computer Science, Data Science, AI, Engineering, or related field; MS degree in Data Science, AI or another quantitative field is preferred.

Work experience:

  • Proven experience as a Data Scientist or AI Engineer 4-5 years (Preferred)
  • Proven track record of similar roles
  • BI, DWH working knowledge of a telecom operator will be an advantage


Potential Career Path

Having gained experience in this position enables many diverse openings to the individual including vertical growth. Possible avenues in other functional roles include Commercial, Segments & Products, Marketing, Corporate Strategy functions, Digital Services, and Pricing.




Functional Skills / Knowledge Areas

  • Excellent understanding of AI/ML techniques and algorithms, such as k-NN, Naive Bayes, SVM, Random Forests, XG-Boost.
  • Understanding of statistical methods for forecasting.
  • Clarity on relevant performance metrics based on the problem being modeled
  • Experience with data visualization tools, such as D3.js, plotly etc.
  • Proficiency in using query languages such as SQL, Hive, Pig.
  • Understanding machine-learning, statistical modeling, and operations research.
  • Knowledge of R, SQL, and Python; familiarity with OOP, Java or C++ is an asset.
  • Experience in using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop).
  • Analytical mind and business acumen.
  • Strong math skills (e.g. statistics, algebra).
  • Ability to influence by providing data backed recommendations.
  • Imagination and creativity; desire to move things.
  • Excellent communication and presentation skills.
  • Ability to work effectively with people at all levels in the organization.
  • Ability to effectively operate with flexibility in a fast paced, constantly evolving team environment and ability to navigate through ambiguity and work independently.


Why should you join us at Telenor?
At Telenor Pakistan, we're more than just a workplace-we're a community where learning and growth are at the core of everything we do. We provide a platform that nurtures your professional and personal development, empowering you to excel in your chosen field and realize your potential in a dynamic, collaborative environment. As an equal opportunity employer, we celebrate diversity and inclusivity, fostering an open and flexible environment where new ideas are welcomed.


As a learning organization, we value curiosity and innovation, encouraging hands-on experiences and continuous growth. Our culture, built on Telenor's four guiding behaviors, sets us apart:


  • Always Explore: We believe growth is achieved through daily learning. We encourage you to challenge norms, embrace curiosity, experiment, and learn from every step.
  • Create Together: We know that diverse teams yield the best solutions. By bringing together varied perspectives, we support, share, and help each other succeed.
  • Keep Promises: Trust is essential to all relationships. We take ownership and pride in delivering with accuracy and integrity.
  • Be Respectful: We prioritize empathy and respect, meeting everyone at eye level, listening intently, and showing care.

Join us to be mentored, empowered, and inspired and become part of a team that positively impacts over 40 million lives every day!

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