Banglalink is looking for Data Science Senior Manager 2026 in Dhaka
Job Responsibilites:
- Develop and deploy advanced machine learning and AI models for Commercial business functions and Sales function covering Price-elasticity models, Churn management, Product recommenders, ARPU growth and revenue enhancement.
- Design and operationalize GIS-driven analytics leveraging satellite imagery and diverse geospatial datasets to develop micro-granular segmentation models and opportunity clusters.
- Lead predictive analytics and prescriptive analytics across the different business verticals to forecast the impact and prescribe actions including churn prediction, revenue forecasting, usage forecasting, correlation to events, and behavioral analytics.
- Develop, optimize and maintain Commercial and Sales related AI-products (Retail stock prediction, Credit scoring, Value-based segmentation, etc) through necessary feature engineering with updated business dynamics and refitting the models.
- Translate complex analytics into clear business storytelling and actionable recommendations for C-suite, Commercial, Sales, Digital and Marketing leadership.
- Collaborate with cross-functional teams – Pricing, CVM, Product, Sales, Digital, Customer Experience, Finance, BSM and Technology – to embed data-driven decisions across the commercial value chain
Location:
BangladeshBenefits
Visit the official link
Eligibilities
Job Requirements:
- B.Sc. in Computer Science / CSE / Applied Statistics / Mathematics or related field from a reputed university
- Master’s degree in Data Science, AI, Statistics or related field will be an added advantage
- 6+ years of total experience including at least 5 years in a relevant data science, advanced analytics or BI role
- Minimum 2-3 years of hands-on experience in machine-learning model development; telecom or large-scale customer-base experience is preferred
- Hands-on expertise in Python, R and SQL with working knowledge of RDBMS, UNIX environment and shell scripting
- Proven experience developing predictive models in customer segmentation, churn, CLM and recommendation systems using data-science tools and statistical techniques
- Strong skills in handling, cleansing and preparing large datasets for structured data modelling
- Working knowledge of data-visualization tools such as MicroStrategy, Tableau and Power BI
- Strong understanding of the Telecom industry value chain, insights and competitive dynamics
- Excellent storytelling, written and verbal communication skills, with the ability to translate complex ML/statistical results into business language for senior stakeholders
For Further Queries
Visit the official link
Disclaimer: Youth Opportunities spreads opportunities for your convenience and ease based on available information, and thus, does not take any responsibility of unintended alternative or inaccurate information. As this is not the official page, we recommend you to visit the official website of opportunity provider for complete information. For organizations, this opportunity is shared with sole purpose of promoting “Access to Information” for all and should not be associated with any other purposes.
