823 Data Science Roles jobs in Pakistan

Description

The Data & Digital Systems Officer will be responsible for analyzing student academic performance, feedback trends, and admission data to support evidence-based interventions. This role also includes developing and maintaining a comprehensive student performance database, designing systems such as an LMS and academic portal for TCF College, and generating insights to improve teaching, learning, and university placements.

DATA ANALYSIS & REPORTING

• Analyze quiz results, teacher and student feedback, internal assessments, board results, and university admissions trends.
• Generate timely reports and dashboards to highlight academic performance and areas for intervention.
• Work with academic coaches and subject heads to support data-driven decision- making.

STUDENT DATABASE & TRACKING

• Develop and maintain a comprehensive digital database for all students, including academic progress, assessments, attendance, and feedback.
• Ensure timely updates and data accuracy across all records.
• Digital Systems & LMS Development
• Design and manage a custom portal or LMS (Learning Management System) for TCF College.
• Coordinate with IT teams to set up user accounts, access permissions, and course structures.
• Support teachers in using the LMS for assessments, resources, and communication.

IT LITERACY FOR STUDENTS

• Plan and implement initiatives to improve students' IT literacy and digital skills. Organize training sessions or short workshops on basic computer use, productivity tools (e.g., MS Word, Excel), internet safety, and online learning platforms.
• Ensure students are equipped to effectively use the LMS and other digital tools introduced in the college.

COLLABORATION & CAPACITY BUILDING

• Train staff (where needed) on interpreting dashboards and using digital tools. Liaise with the regional IT or academic teams on system improvements and tech support.

MONITORING & INTERVENTION SUPPORT

Identify struggling students based on analysis and suggest timely academic interventions in coordination with academic leadership.

Required Skills

• Proficient in data analysis tools (e.g., Excel, Google Sheets, SQL, or Power BI/Tableau).
• Ability to build and manage student databases and learning portals (LMS such as Moodle, custom dashboards, etc.).
• Strong analytical and problem-solving skills.
• Excellent communication skills for coordination with teachers and academic teams.
• Familiarity with education performance metrics and school/college-level assessments.
• Basic understanding of programming or web technologies (HTML/CSS/JavaScript, PHP, or similar) is a plus.
• High sense of confidentiality, accuracy, and timely reporting.
• Growth mindset and continuous learner with a proactive approach.

Education

Bachelor's degree in Computer Science, Data Science, Statistics, Education Technology, or a related field.

Experience

Minimum 1–2 years of experience in data analysis, education systems, or LMS/portal development. Experience in an academic or education-focused setting will be a plus.

Job Type: Full-time

Application Question(s):

• What is your Current Salary?
• What is your Expected Salary?
• Are you willing to negotiate?

Work Location: In person

The Data & Digital Systems Officer will be responsible for analyzing student academic performance, feedback trends, and admission data to support evidence-based interventions. This role also includes developing and maintaining a comprehensive student performance database, designing systems such as an LMS and academic portal for TCF College, and generating insights to improve teaching, learning, and university placements.

• Analyze quiz results, teacher and student feedback, internal assessments, board results, and university admissions trends.
• Generate timely reports and dashboards to highlight academic performance and areas for intervention.
• Work with academic coaches and subject heads to support data-driven decision- making.

• Develop and maintain a comprehensive digital database for all students, including academic progress, assessments, attendance, and feedback.
• Ensure timely updates and data accuracy across all records.
• Digital Systems & LMS Development
• Design and manage a custom portal or LMS (Learning Management System) for TCF College.
• Coordinate with IT teams to set up user accounts, access permissions, and course structures.
• Support teachers in using the LMS for assessments, resources, and communication.

• Plan and implement initiatives to improve students’ IT literacy and digital skills. Organize training sessions or short workshops on basic computer use, productivity tools (e.g., MS Word, Excel), internet safety, and online learning platforms.
• Ensure students are equipped to effectively use the LMS and other digital tools introduced in the college.

• Train staff (where needed) on interpreting dashboards and using digital tools. Liaise with the regional IT or academic teams on system improvements and tech support.

Identify struggling students based on analysis and suggest timely academic interventions in coordination with academic leadership.

Eximus Education, an award-winning online tutoring company, is seeking experienced and dedicated freelance Online Tutors for Econometrics and Data Analysis to provide high-impact lessons to university and professional-level students. As an online tutor, you will help students across the UK achieve their academic and career goals, strengthen their technical skills, and build confidence in applying econometric and data analysis methods.

Responsibilities

• Provide online tutoring sessions in Econometrics and Data Analysis
• Assess students' strengths and weaknesses to tailor lessons to their needs
• Prepare and deliver engaging and interactive lessons with practical applications
• Communicate effectively with students to discuss progress and learning goals

Requirements

• Strong academic background in Econometrics, Statistics, or related fields
• Excellent English communication skills
• Relevant online tutoring or teaching experience at undergraduate/postgraduate level
• Proficiency in econometric techniques (e.g., regression, time series, panel data, causal inference) and data analysis methods
• Familiarity with Zoom/Google Meet and digital whiteboard tools
• Reliable internet connection and necessary equipment for online tutoring

Preferred Qualifications

• Advanced degree (Master's/PhD) in Economics, Econometrics, Statistics, or Data Science
• Experience with online tutoring platforms
• Ability to support students with coursework, research projects, and exam preparation

How to Apply

Please email your resume to or apply via LinkedIn. Mention "Econometrics & Data Analysis Tutor" in the subject line of the email.

About Us

VisionX, we are reshaping the convergence of AI and computer vision. Since our inception in 2017, we have enabled B2B enterprises to improve process efficiencies, drive revenue growth, and create a competitive advantage. We accomplish this by crafting outstanding bespoke product experiences for our clients, their customers, and the field workforce through advanced AI and emerging technologies.

Fast Company recognized us as one of the Top 10 Most Innovative Companies of 2020, alongside Microsoft and Snap Inc. We are trendsetters who innovate, build, and scale as your partner, providing technology that works with speed and agility, all while ensuring a competitive edge in affordability.

In addition to our AI solutions, VisionX serves as a GCC systems integrator for the most advanced AI-powered enterprise logistics platform tailored for warehouses, retail stores, and final-mile buildings.

We are looking for a Marketing Expert with strong Technical SEO expertise and data analysis skills to accelerate VisionX’s digital growth. This role will drive organic visibility, optimize technical performance of our web properties, and uncover data-driven insights to fuel smarter marketing campaigns.

• Conduct and implement technical SEO audits: crawl issues, indexation, site speed, Core Web Vitals, schema, and structured data.
• Optimize website architecture and on-page SEO for global reach and lead generation.
• Perform keyword research & competitor benchmarking to capture high-intent traffic.
• Collaborate with developers, designers, and content teams to ensure SEO-first execution.
• Track, analyze, and report performance using GA4, GSC, Ahrefs/SEMrush, and Looker Studio.
• Build data-driven insights to improve campaign ROI and lead funnel conversion.
• Monitor algorithm updates, competitor shifts, and implement proactive strategies.

• 2+ years of experience in Technical SEO with proven results.
• Strong skills in data analysis & reporting (GA4, GTM, Excel Sheets).
• Hands-on experience with SEO tools (Screaming Frog, Ahrefs, SEMrush, Moz).
• Ability to troubleshoot using HTML, CSS, JS basics.
• Sharp analytical thinking; comfortable working with datasets to spot opportunities.
• Excellent communication and cross-team collaboration skills.

• Experience with BI/analytics tools (SQL, Python, Power BI, Looker).
• Exposure to B2B SaaS/AI/Tech marketing.
• Familiarity with content marketing and PPC.

Our global network of industry experts and mentors helps shape your growth and future. We believe in delivering client value through our work. We build products that are not good or great, but outstanding.

You deliver! We will make your stay and journey with us worthwhile.

We are an equal opportunity employer, and we value diversity. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected status.

We are seeking a highly motivated AI/ML Engineers to join our growing technology team. The ideal candidate will have a strong foundation in machine learning, artificial intelligence, data processing, and algorithm development. This role will involve building intelligent systems, analyzing datasets, and implementing cutting-edge AI solutions to support our software and product development initiatives.

Please take a minute to fill the job form:

Key Responsibilities

• Design, develop, and deploy machine learning models and AI solutions.
• Preprocess, clean, and analyze large datasets to extract insights.
• Build and optimize predictive models, recommendation systems, chatbots, and other AI-driven features.
• Conduct research on emerging AI/ML technologies and frameworks to enhance solutions.
• Collaborate with software engineers to integrate AI/ML solutions into applications.
• Fine-tune existing models for accuracy, scalability, and performance.
• Work with cloud-based ML platforms (AWS, Azure, GCP) for model deployment.
• Document processes, models, and findings for internal and client use.
• Assist in designing proof-of-concepts (POCs) for AI-driven business solutions.

Required Skills & Qualifications

• 1-3 years of experience in AI/ML experience.
• Strong understanding of machine learning algorithms, deep learning, and data science principles.
• Proficiency in Python, R, or other ML programming languages.
• Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.
• Familiarity with data visualization tools (Matplotlib, Seaborn, Power BI, Tableau).
• Knowledge of NLP, computer vision, or reinforcement learning is a plus.
• Experience with cloud AI/ML services (AWS SageMaker, Azure ML, Google AI).
• Strong analytical, problem-solving, and mathematical skills.
• Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.

Job Type: Full-time

Work Location: In person

Overview

The Machine Learning Engineer at Venturenox is responsible for creating machine learning models, building data pipelines and extracting business value from the available data. The primary platform to be used is Python (TensorFlow, FastAPI).

Location: Lahore
Work Mode: Hybrid with 2 days/week in office
Experience: 1 - 2 years

• Analyzing the ML algorithms and pre-trained models that could be used to solve a given problem.
• Develop server side logic with platforms such as Python to make models deployable in production.
• Collaborate with cloud engineers to make the code suitable for deployment in cloud-native environments and deploying models to production.

• Proficiency with deep learning frameworks such as TensorFlow or Keras as well as AI frameworks such as LangChain.
• Understanding of challenges in computer vision and speech and natural language processing.
• Proficiency with Python and basic libraries for machine learning as well as web frameworks such as FastAPI.
• Understanding of SQL and NoSQL data stores. Understanding of Kafka is highly desirable.

Job Title: Machine Learning Engineer

Location: Remote (Pakistan – US hours overlap)

Type: Full-Time / Contract

Compensation: $3000 – $4000/Per Project/ Per Month

Prior Experience in the Staff Augmentation Model is mandatory.

We are looking for a skilled Machine Learning Engineer to design, develop, and deploy machine learning models and AI-driven solutions. The ideal candidate will have strong programming skills, hands-on experience with data science techniques, and the ability to translate business problems into machine learning solutions.

• Design, build, and deploy machine learning models for real-world applications.
• Preprocess, clean, and analyze large datasets to ensure quality and accuracy.
• Develop and optimize algorithms for classification, regression, clustering, NLP, or computer vision tasks.
• Collaborate with data scientists, software engineers, and product teams to integrate ML models into production systems.
• Monitor and maintain deployed models to ensure performance, accuracy, and scalability.
• Research and implement the latest ML/AI frameworks, tools, and best practices.
• Document processes, experiments, and results for reproducibility.

• Bachelor’s or Master’s in Computer Science, Data Science, Artificial Intelligence, or related field.
• Strong programming skills in Python (TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas).
• Solid understanding of machine learning algorithms, deep learning, and statistics.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Knowledge of cloud platforms (AWS, GCP, Azure) and ML deployment tools (Docker, Kubernetes, MLflow).
• Familiarity with databases (SQL/NoSQL).
• Strong problem-solving and analytical skills.
• Able to handle 2–3 client/project meetings per day.
• Must have a camera/mic-ready setup, backup power, and stable internet for remote work.
• Should be adaptable to rapidly changing project scopes or client needs.
• Available to work during US business hours (PST/EST overlap required).

Interested candidates can apply here or share their resume at with the subject line "Machine Learning Engineer".

Seniority level: Entry level

Employment type: Full-time

Job function: Engineering and Information Technology

Industry: IT System Custom Software Development

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