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Senior Data Scientist- Teknosys

Senior Data Scientist- Teknosys

PMCL-JAZZ, , Pakistan, Pakistan
11 days ago
Job description

Grade Level & Location

Grade Level : L3

Location : Islamabad

Last date to apply : 30 October 2025

About the Role

At Jazz, you will be working closely with Jazz Business Units like Pricing, Segments, CVM designers, BI, Channel planning, and Digital teams to develop cutting‑edge machine learning and optimization solutions to analyze data and help them achieve their KPIs. You will also be working with external entities and help with data driven solution.

Responsibilities

  • Formulating, suggesting, and managing data‑driven projects which are geared at furthering the business's interests.
  • Collating and cleaning data from various entities for later use by junior data scientists.
  • Delegating tasks to Junior Data Scientists to realize the successful completion of projects.
  • Monitoring the performance of Junior Data Scientists and providing them with practical guidance, as needed.
  • Selecting and employing advanced statistical procedures to obtain actionable insights.
  • Cross‑validating models to ensure their generalizability.
  • Producing and disseminating non‑technical reports that detail the successes and limitations of each project.
  • Suggesting ways in which insights obtained might be used to inform business strategies.
  • Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.

Qualifications

  • 5‑7 years of experience in solving complex business problems using data science, statistical techniques & machine learning to build predictive & prescriptive solutions across the customer journey.
  • Demonstrated experience in executing on complex projects, extracting, cleansing, and manipulating large, diverse structured and unstructured data sets on relational & NOSQL databases.
  • Experience providing insights to support strategic decisions, including preparing and delivering insights and recommendations.
  • 3 years of experience with Python / R / SCALA, extensive knowledge, and hand‑on experience in statistical programming – SAS / SPSS / MATLAB and data science toolkits – Pandas / Jupyter / SCIKIT / Tensorflow.
  • 3‑4 years of experience applying machine learning solving real business and customer problems.
  • Bachelor’s or Master’s degree in Computer Science, Analytics, Applied Mathematics or Statistics, Econometrics, or closely related field.
  • Strong communication skills and ability to translate technical findings into business language.
  • What We’re Looking For

  • Develop understanding of existing data science models.
  • Develop understanding of how CVM works at Jazz.
  • Develop understanding of BI and Analytical tools and existing data science capabilities.
  • Work alongside the data science team to understand existing data science operations.
  • Develop in‑depth understanding of the data science models and respective pipelines.
  • Strive for continuous improvement in both the processes and the outcome.
  • Contribute to the development and use of data science models for campaigns.
  • Identify opportunities for improvement.
  • Become responsible for the day‑to‑day data science activities.
  • Complete understanding of all source systems available.
  • Launching new advanced analytical models and projects.
  • Develop, maintain, and transfer models in an open‑source architecture (Python / R / Hadoop / Spark).
  • Working closely with data engineers and business managers to create insights.
  • Why Join Teknosys?

    At Teknosys, you will be at the forefront of Pakistan’s digital transformation journey, shaping solutions across AI, Data, IT, and Managed Services. You’ll work alongside some of the brightest minds in the industry, partner with global hyperscalers & leaders, and close deals that define the future of digital in the region. Joining us means being part of a fast‑scaling, innovation‑led business where your impact will directly fuel growth, customer success, and leadership.

    Equal Opportunity Statement

    Jazz is an equal opportunity employer. We celebrate, support, and thrive on diversity and are committed to creating an inclusive environment for all employees.

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