93 Data Science Manager jobs in Pakistan

Job Title: Minitab Data Analysis Expert

Job Description:

We are looking for an experienced Minitab expert to assist with data analysis, statistical testing, and interpretation of results. The ideal candidate should be skilled in using Minitab for Six Sigma, quality control, regression analysis, hypothesis testing, ANOVA, and process improvement projects. The role involves analyzing datasets, generating reports, and providing insights based on statistical outcomes.

Responsibilities:

Perform statistical analysis using Minitab.

Conduct hypothesis testing, ANOVA, regression, and control charts.

Interpret data and prepare summary reports.

Provide insights and recommendations based on analysis results.

Required Skills:

Strong command of Minitab and statistical techniques.

Knowledge of Six Sigma, Quality Management, and Process Improvement.

Proficiency in data visualization and interpretation.

Strong analytical and problem-solving abilities.

Experience Level:

Intermediate to Advanced (2–5 years of experience) in data analysis or quality management using Minitab.

Project Basis-> Recent Project 35k

Job Type: Full-time

Pay: Rs35,000.00 per month

Work Location: Remote

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

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.

Project Manager, CITRIC Health Data Science Center B8)

Project Manager

Entity: Aga Khan University

Location: Karachi, Pakistan

Introduction:

Aga Khan University, chartered in 1983 as Pakistan's first private international university, is committed to the provision of education, research and health care of international standard relevant to Pakistan and the region. The affiliated Aga Khan University Hospital (AKUH) has well-equipped investigative services and provides state-of-the-art clinical facilities. AKUH is the first hospital in Pakistan to be awarded the prestigious Joint Commission International Accreditation (JCIA) for practicing the highest internationally-recognized healthcare standards.

Established in December 2020 at Aga Khan University's Medical College, the CITRIC Health Data Science Center is a dedicated hub for health data science. The Center is driving the transformation of health systems through disease burden estimation, clinical data curation and analysis, AI and health analytics, and public health initiatives. It functions as a platform for interdisciplinary collaboration among medical researchers, clinicians, data scientists, and policymakers; a capacity-building center, hosting workshops and training in health data science and disease modeling; and an innovation hub developing clinical data infrastructure, AI-driven analytics, and digital health tools to address regional health challenges.

As an equal opportunity employer, AKU believes in promoting a diverse and inclusive culture and is committed to adopt appropriate standards for safeguarding and promoting a respectful relationship with and between diverse workforce of its faculty, staff, trainees, volunteers, beneficiaries, wider communities, and other stakeholders with whom it works, including children and vulnerable adults and expects all employees/trainees and partners to share this commitment.

This is a grant-funded contractual position.

Responsibilities:

You will be responsible to:

• Supervise the day-to-day execution of research projects, coordinate timelines and deliverables, and track progress using project management tools to ensure timely and effective delivery;
• lead hiring and onboarding of project staff; provide regular supervision, coaching, and performance feedback; set team goals and monitor productivity to maintain a high-performing team;
• design and implement SOPs for both project execution and administrative workflows, ensuring consistency, efficiency, and clarity in all operational processes;
• lead strategic planning, proposal development, and event organization, while remaining responsive to evolving needs as identified by the Principal Investigator or Center leadership;
• contribute to strategic planning, proposal development, and event organization;
• integrating ML models into data pipelines, dashboards, or applications to enable real-time or batch decision-making;
• oversee budgeting, financial tracking, and reporting related to project grants; ensure compliance with donor and institutional financial policies and support efficient resource allocation and utilization;
• prepare financial and budget plans in coordination with the finance department; assist the supervisor in ensuring adherence to grant agreements, budget allocations, and agency requirements;
• support Principal Investigators in study design, tool development, and protocol refinement;
• contribute to data analysis, interpretation, and drafting of research outputs where possible;
• develop and implement a comprehensive communication strategy to promote the center's mission, outcomes, and activities to key stakeholders including funders, partners, academic institutions, community organizations, and the general public;
• preparing and maintaining technical documentation and assisting in the preparation of periodic research and progress reports;
• act as the primary liaison with internal teams, external partners, donors, and public health stakeholders to ensure effective communication, alignment of goals, and smooth collaboration throughout the project lifecycle;
• manage planning and execution of events, including conferences, workshops, and meetings with donors and collaborators;
  
  any other task assigned by the Principal Investigator.

Requirements:

You should have:

• Master's degree in a relevant field such as Public Health (MPH), Health Policy & Management (HPM), Epidemiology, Biostatistics, Data Science, Computer Science or Health Economics and a medical degree (MBBS) is preferred but not required;
• 5 to 7 years of relevant experience in healthcare;
• demonstrated experience in coordinating or managing research projects, preferably in public health, health data science, or related fields;
  
  prior experience working with grants, budgeting, compliance, or donor reporting will be considered an asset;
• proven expertise in project management, including planning, execution, monitoring, and reporting across complex, multi-stakeholder initiatives;
• strong team management skills with the ability to lead, motivate, and coordinate cross-functional teams in dynamic environments;
• excellent organizational and time management abilities, with a track record of meeting deadlines and delivering results;
• good understanding of public health, data science, or health systems, with the ability to translate technical findings into actionable insights;
• proficiency in project management tools (e.g., Asana, Trello, MS Project) and general office software (MS Office Suite); familiarity with data platforms or analytics tools is an asset;
• strategic thinker with problem-solving skills and the ability to adapt to evolving project needs.

Comprehensive employment reference checks will be conducted.

Primary Location: Pakistan-Karachi

Organisation: Aga Khan University Pakistan

Employee Status: Regular

Job Type: Standard

Job Posting: 14/10/2025, 4:26:45 AM

Closing Date: 28/10/2025, 1:59:00 PM

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

Job Title: Machine Learning Engineer

Company: Axix Technologies Pvt Ltd

Location: Gulberg III, Lahore (Onsite)

Job Type: Full-Time

Experience: proven 2–3 years industry experience

Role Overview

Axix Technologies, we don't just build software we build intelligent systems that shape the future of industries worldwide. If you're passionate about AI, Computer Vision, and cutting-edge automation, this role is for you.

What You'll Work On

• Designing and deploying end-to-end ML pipelines that impact real businesses globally

• Building real-time AI models for Computer Vision, Facial Recognition, and Anomaly Detection

• Leveraging LLMs, LangChain, and Generative AI frameworks to power enterprise systems

• Deploying scalable solutions on AWS, GCP, Azure, and Edge devices

Education

• BS Software Engineering / BS Artificial Intelligence (or related field)

Your Expertise

• 2+ years proven industry experience in Machine Learning & AI

• Proficiency with PyTorch, TensorFlow, OpenCV, YOLOv8, Detectron2

• Experience in LLMs, Hugging Face Transformers, LangChain

• Strong in MLOps tools: Git/GitLab, Docker, CI/CD, MLflow, DVC

• Familiarity with Vector Databases (FAISS, Pinecone, Weaviate)

• Skilled in real-time AI deployment & automation

Apply Now:

Contact:

Job Type: Full-time

Pay: Rs60, Rs70,000.00 per month

Work Location: In person

Company Description

Meriti Inc. is committed to helping organizations unlock the full potential of their data. Our analytics practice provides frameworks to navigate the complexities of statistics, AI, predictive modeling, and machine learning. By doing so, we ensure that our clients stay at the forefront of this rapidly evolving field.

Role Description

This is a full-time remote role for a Machine Learning Engineer specializing in LLAMA and Large Language Model. The Machine Learning Engineer will be responsible for developing and implementing machine learning models, performing data analysis, and collaborating with cross-functional teams to achieve project goals. The role will involve the design and application of algorithms, neural networks, and pattern recognition techniques.

Qualifications

• Proficiency in Machine Learning, including Pattern Recognition and Neural Networks
• Strong background in Computer Science and Statistics
• Expertise in developing and implementing NLP and LLM Algorithms
• Excellent problem-solving skills and ability to work collaboratively
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related fields
• Experience with relevant machine learning frameworks and tools
• Strong programming skills in languages commonly used in machine learning (e.g., Python, R)
• Ability to work independently and remotely
• Experience in the field of predictive modeling and AI is a plus

Role Description

This is a full-time on-site role for a Manager – Machine Learning located in Islamabad. The Manager – Machine Learning will be responsible for leading and implementing machine learning projects, developing algorithms, and analyzing large datasets to derive actionable insights. Day-to-day tasks include designing and conducting experiments, collaborating with cross-functional teams, optimizing models for performance, and staying updated with the latest advancements in the field. The role involves working closely with data engineers, analysts, and other stakeholders to drive innovation and efficiency in banking operations.

Qualifications

• Strong skills in Machine Learning algorithms, Data Science, and Predictive Modeling
• Proficiency in programming languages such as Python,
• Experience with data preprocessing, data mining, and data visualization
• Familiarity with machine learning frameworks and tools like TensorFlow, Keras, and Scikit-Learn
• Ability to work independently and as part of a team, excellent problem-solving skills
• Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field
• 2- 3 Years of Relevant Experience
• Experience in the banking or financial sector is a plus

About the Role

Do you thrive at the intersection of
AI innovation
and
real-world engineering
?

At
PLUTUS
, we're pushing the boundaries of what's possible with
Large Language Models (LLMs)
,
Retrieval-Augmented Generation (RAG)
, and
Agentic AI frameworks
.

We're looking for a
Machine Learning Engineer (m/f/d)
to help us design, build, and scale
production-ready AI systems
that deliver real-time intelligence to our customers.

What You'll Do

• Develop and optimize AI systems based on LLMs, RAG, and agentic AI frameworks to ensure accuracy and real-time performance.
• Bridge model development with robust service and API engineering for seamless platform integration.
• Build and maintain streaming pipelines optimized for performance and compatibility.
• Implement production-grade deployment practices — containerization, orchestration, and inference optimization.
• Collaborate across teams to integrate models and evaluate system-wide performance impact.
• Drive scalability, reliability, and continuous improvement of AI services.

What You'll Bring

• Proven experience with LLMs and RAG pipelines.
• Hands-on work with agentic AI frameworks (e.g., LangChain, LangGraph).
• Strong foundation in ML fundamentals — deep learning, NLP, and model evaluation.
• Excellent Python skills, with experience in libraries like PyTorch, TensorFlow, or scikit-learn.
• Understanding of API/service engineering and streaming system design.
• Experience with model deployment, containerization (Docker), and orchestration (Kubernetes).
• Familiarity with integration and release engineering best practices.

Bonus Points For

• Experience with cloud AI/ML platforms (Azure preferred).
• Knowledge of vector databases for retrieval-based applications.
• Experience with observability and monitoring tools (logging, tracing, metrics).

Apply now and be part of a team that turns cutting-edge research into real-world impact.