Website Style Textile
Data Scientist Style Textile Lahore. Are you passionate about data, analytics, and machine learning and ready to build a meaningful career in the industry? A promising opportunity is now open at Style Textile for the role of Data Scientist. This position is designed for professionals who want to apply analytical thinking, machine learning, and business intelligence skills in a dynamic industrial environment.
Located in Manga near Lahore, this role offers exposure to real-world business challenges where data-driven insights directly influence decision-making, operational efficiency, and strategic planning.
With a deadline of February 23, 2026, this is a time-sensitive opportunity for candidates eager to advance their careers in data science and analytics.
Job Overview
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Position: Data Scientist
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Company: Style Textile
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Location: Manga, Lahore
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Experience Required: 2–5 years
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Education: Bachelor’s or Master’s in a relevant field
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Application Deadline: February 23, 2026
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Application Email: [email protected]
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Subject Line: “Data Scientist”
About Style Textile
Style Textile is a prominent player in Pakistan’s textile and apparel sector, known for innovation, operational excellence, and global export standards. The organization has embraced digital transformation and is increasingly relying on data analytics to improve performance, productivity, and strategic planning.
Working at Style Textile means:
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Exposure to industrial-scale data environments
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Opportunities to apply machine learning in real business scenarios
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Collaboration with cross-functional teams
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Professional growth in analytics and digital transformation
Role Summary – Data Scientist
The Data Scientist will play a key role in:
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Collecting and analyzing structured and unstructured data
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Building predictive models
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Identifying trends and actionable insights
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Supporting data-driven decision-making
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Creating dashboards and performance monitoring tools
This role bridges the gap between business strategy and data intelligence, helping departments make informed decisions using analytics and machine learning.
Key Responsibilities
1. Data Collection & Management
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Gather structured and unstructured data from multiple sources
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Clean and preprocess data for analysis
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Ensure data integrity and reliability
2. Machine Learning Development
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Develop predictive and classification models
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Optimize algorithms for accuracy and performance
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Apply statistical methods and data science techniques
3. Exploratory Data Analysis (EDA)
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Analyze datasets to identify patterns and trends
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Discover insights to support business decisions
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Present findings through visualizations
4. Business Intelligence Support
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Translate business requirements into analytical solutions
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Support operational and strategic teams
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Provide actionable recommendations
5. Dashboard Creation & Reporting
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Design dashboards to track performance metrics
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Monitor KPIs and operational trends
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Deliver insights to management
6. Industry Trend Monitoring
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Stay updated on emerging data science tools
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Apply best practices in analytics and modeling
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Explore opportunities for automation and innovation
Eligibility Criteria
Candidates applying for this role must meet the following requirements:
Educational Qualification
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Bachelor’s or Master’s degree in:
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Data Science
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Computer Science
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Statistics
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Software Engineering
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Artificial Intelligence
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Related field
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Experience
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2–5 years in:
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Data analysis
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Machine learning
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Business analytics
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Technical Skills
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Proficiency in SQL
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Strong statistical knowledge
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Experience with big data tools
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Exposure to NLP or deep learning (preferred)
Required Competencies
Technical Skills
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Data modeling
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Machine learning frameworks
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Data visualization
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Statistical analysis
Analytical Skills
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Pattern recognition
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Predictive analysis
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Problem-solving
Business Skills
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Translating business needs into data solutions
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Understanding operational workflows
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KPI monitoring
Soft Skills
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Communication
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Collaboration
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Teamwork
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Presentation skills
Ideal Candidate Profile
You are a strong fit for this role if you:
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Love working with data and insights
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Have strong analytical thinking
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Enjoy solving complex problems
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Can communicate technical results to non-technical teams
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Are passionate about machine learning and AI
Why This Role Is a Great Career Move
Industry-Relevant Experience
Work with real production, supply chain, and business data.
Career Growth
Data scientists are among the most in-demand professionals globally.
Skill Development
Gain hands-on expertise in:
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Machine learning
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Data engineering
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Business analytics
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Predictive modeling
Impactful Work
Your insights will influence decisions in:
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Production planning
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Operational efficiency
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Business performance
Daily Work Scope
Typical daily tasks may include:
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Running data queries
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Building predictive models
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Performing EDA
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Preparing dashboards
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Collaborating with stakeholders
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Presenting analytical insights
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Testing machine learning models
Tools & Technologies Exposure
You may work with:
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SQL databases
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Big data platforms
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Machine learning frameworks
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Data visualization tools
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Statistical software
Career Growth Path
This role opens doors to advanced positions such as:
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Senior Data Scientist
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Machine Learning Engineer
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AI Specialist
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Analytics Manager
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Business Intelligence Lead
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Data Strategy Consultant
Performance Expectations
Style Textile expects the Data Scientist to:
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Deliver accurate insights
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Improve model performance
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Support business decision-making
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Maintain data integrity
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Provide actionable recommendations
Location Advantage – Lahore Region
Working in the Lahore industrial region offers:
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Exposure to major industries
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Strong professional networks
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Career mobility
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Opportunities in tech and manufacturing sectors
Who Should Apply?
This opportunity is ideal for:
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Data analysts transitioning to data science
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Machine learning professionals
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Statistics and AI graduates
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BI professionals seeking technical growth
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Professionals interested in industrial analytics
Application Process
Follow these steps to apply:
Step 1: Prepare Your Resume
Include:
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Technical skills
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Project portfolio
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Certifications
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Experience in ML or analytics
Step 2: Email Your Application
Send to:
[email protected]
Step 3: Subject Line
Mention: Data Scientist
Step 4: Submit Before Deadline
Apply before: February 23, 2026
Tips to Increase Your Selection Chances
Highlight Technical Projects
Include:
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Machine learning models
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Data dashboards
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Predictive analytics projects
Show Business Impact
Mention:
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Cost savings
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Efficiency improvements
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Data-driven decisions
Add Certifications
Examples:
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Data Science
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AI / Machine Learning
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SQL
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Big Data
Build a Portfolio
Showcase:
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GitHub projects
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Kaggle work
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Real datasets analysis
Industry Outlook
Data science continues to grow due to:
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Digital transformation
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AI adoption
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Data-driven decision-making
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Automation
Organizations increasingly rely on data professionals to remain competitive.
Long-Term Career Value
Joining as a Data Scientist builds expertise in:
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AI and machine learning
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Predictive analytics
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Business intelligence
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Data strategy
These skills remain highly valuable across industries worldwide.
Final Thoughts
The Data Scientist position at Style Textile is a high-potential and future-focused opportunity for professionals ready to make an impact using analytics and machine learning.
With real-world datasets, cross-functional exposure, and growth potential, this role provides a strong platform for building a successful career in data science.
If you’re passionate about turning data into insights and insights into action, this opportunity could be the next big step in your professional journey.
Apply Now
📧 Email your resume: [email protected]
📝 Subject line: Data Scientist
📅 Deadline: February 23, 2026
📍 Location: Manga, Lahore
Join Style Textile and help transform business decisions through the power of data.
To apply for this job email your details to fadia.asif@styletextile.com
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