820 Senior Data Scientist jobs in Pakistan

Job Summary

We UK based IT Company is looking for an AI Data Scientist to design, develop, and deploy advanced machine learning and artificial intelligence models that solve complex business problems. The ideal candidate combines expertise in statistics, data engineering, and machine learning with a strong ability to translate data insights into strategic business value.

Key Responsibilities

• Develop, train, and deploy machine learning and deep learning models for predictive analytics, recommendation systems, NLP, computer vision, or other AI applications.
• Collaborate with data engineers to build and maintain data pipelines and ensure high-quality, structured datasets.
• Perform data exploration, feature engineering, and statistical analysis to extract meaningful patterns from large, complex datasets.
• Evaluate model performance using appropriate metrics and optimize algorithms for accuracy, efficiency, and scalability.
• Implement and maintain MLOps practices, including model versioning, monitoring, and automated retraining.
• Work cross-functionally with product, engineering, and business teams to translate business requirements into AI solutions.
• Communicate results and insights to both technical and non-technical stakeholders through reports, dashboards, and visualizations.
• Stay updated with the latest research and developments in AI, data science, and machine learning frameworks.

QualificationsRequired

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or related field.
• 3+ years of experience in data science or AI model development.
• Strong programming skills in Python (preferred) and experience with libraries such as scikit-learn, TensorFlow, PyTorch, Keras, or Hugging Face.
• Proficiency in SQL and data manipulation using Pandas, NumPy, or Spark.
• Experience deploying ML models in production (e.g., using AWS, GCP, Azure, Docker, or Kubernetes).
• Solid understanding of statistical modeling, supervised/unsupervised learning, and deep learning.

Preferred

• Experience with LLMs (Large Language Models), Generative AI, or Reinforcement Learning.
• Familiarity with MLOps tools such as MLflow, Kubeflow, or Vertex AI.
• Background in NLP, computer vision, or time-series forecasting.
• Strong communication skills and ability to work in cross-functional teams.

Key Skills

• Machine Learning & Deep Learning
• Python (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch)
• Data Visualization (Matplotlib, Seaborn, Power BI, Tableau)
• MLOps & Model Deployment
• SQL & Data Engineering
• Statistical Analysis & Experimentation
• Cloud Computing (AWS, GCP, Azure)
• Problem-Solving & Critical Thinking

What We Offer

• Competitive salary and performance bonuses
• Opportunities to work on cutting-edge AI projects
• Continuous learning and professional development support
• Collaborative and innovation-driven culture

A person must willing to work in office in Bahria Town Lahore. its mandatory

Only serious person should contact no time waster.

Job Type: Full-time

Pay: Rs100, Rs150,000.00 per month

Work Location: In person

About the Role

We are seeking a highly skilled Data Scientist with expertise in Large Language Models (LLMs) to join our AI/ML team. The ideal candidate will have strong foundations in NLP, deep learning, and applied machine learning with practical experience in building, fine-tuning, and deploying LLM-based solutions.

Key Responsibilities

• Design, train, and fine-tune Large Language Models (LLMs) for real-world applications.
• Apply techniques such as prompt engineering, few-shot learning, and transfer learning.
• Work with embeddings, vector databases, and retrieval-augmented generation (RAG).
• Analyze large datasets to build, evaluate, and optimize NLP pipelines.
• Implement model performance monitoring, evaluation metrics, and continuous improvements.
• Collaborate with cross-functional teams to integrate LLM-based solutions into products.
• Stay updated with the latest research in NLP, LLMs, and generative AI.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field.
• 2+ years of hands-on experience in NLP or Deep Learning.
• Strong experience with Python, PyTorch/TensorFlow, Hugging Face Transformers.
• Experience with LLM fine-tuning (LoRA, PEFT, full fine-tuning).
• Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS).
• Experience with prompt engineering and evaluation frameworks.
• Strong understanding of ML evaluation metrics (perplexity, BLEU, ROUGE, etc.).
• Familiarity with deploying ML/LLM models in production environments.

Nice to Have

• Experience with cloud platforms (AWS, GCP, Azure).
• Knowledge of MLOps and CI/CD pipelines for ML models.
• Contributions to open-source NLP/LLM projects.

What We Offer

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge Generative AI projects.
• Collaborative and innovative work culture.

Job Type: Full-time

Application Question(s):

• Do you have experience with fine-tuning LLMs (e.g., GPT, LLaMA, Falcon)? (Yes/No)
• Which libraries have you used for NLP/LLMs? (One word: e.g., Transformers, LangChain, etc.)
• Have you implemented prompt engineering techniques in real projects? (Yes/No)
• Do you have hands-on experience with vector databases like Pinecone, FAISS, or Weaviate? (Yes/No)
• One word: Which framework do you prefer — PyTorch or TensorFlow?
• Have you worked on Retrieval-Augmented Generation (RAG) pipelines? (Yes/No)
• Do you have experience with LoRA/PEFT fine-tuning? (Yes/No)
• Have you deployed an LLM model in a production environment? (Yes/No)
• What's your experience level with Hugging Face Transformers? (Beginner/Intermediate/Advanced)
• Are you open to working on both research and production-level applications of LLMs? (Yes/No)

Work Location: In person

About the Job

Data Analyst / Scientist (Remote | Commission-Based)

Location: Remote

Company: Exovion – Science & Innovation Startup

About Us

Exovion is a newly founded science & technology startup operating at the intersection of biotechnology, bioinformatics, and AI. Our mission is to create data-driven solutions for drug discovery, genomics, personalized medicine, and research support services—all through remote collaboration.

Role Description

We are looking for a Data Analyst / Scientist to join our team. This is a remote, commission-based role focused on computational and analytical projects. You will collaborate with our core team (Bioinformatician, Microbiologist, Biotechnologist, AI/Data Scientist) on tasks such as:

Analyzing biological, genomic, and biomedical datasets

Building and maintaining data pipelines and dashboards

Applying statistical models and machine learning for research insights

Supporting research collaborations with academia and startups

Contributing to publications, reports, and grant proposals

Qualifications

Proficiency in data analysis using Python, R, or similar tools

Hands-on experience with databases and bioinformatics datasets (e.g., GEO, Human Protein Atlas, DrugBank)

Knowledge of statistics, machine learning, and data visualization

Research-oriented mindset with ability to contribute to publications

Strong teamwork and remote communication skills

Bachelor's or Master's in Data Science, Bioinformatics, Computational Biology, or related fields

Preferred but not required: Experience with AI/ML applications in biology or drug discovery

Why Join Us?

Work with a young, ambitious, science-driven remote team

Focus on high-impact data-driven research and analysis

Opportunity to contribute to publications, research, and client projects

Flexible remote role with performance-based growth opportunities

To apply, send your CV and cover letter to

Overview

We are looking for a highly motivated and detail-oriented Data Scientist to join our team. The ideal candidate will have strong expertise in data analysis, statistical modeling, and process optimization. This role will focus on building predictive models, developing data-driven insights, and supporting business decision-making through advanced analytics and reporting.

Key Responsibilities

• Develop, maintain, and optimize predictive models to improve forecasting and decision-making.
• Analyze large and complex datasets to identify trends, patterns, and opportunities for process improvement.
• Design and implement automated dashboards and reporting tools to provide real-time visibility of key metrics.
• Collaborate with cross-functional teams to translate business needs into analytical solutions.
• Apply statistical and machine learning techniques to support optimization, resource allocation, and efficiency improvements.
• Ensure data quality, integrity, and alignment with business requirements.
• Present insights and recommendations to stakeholders in a clear and actionable manner.

What We're Looking For

• Bachelor's or Master's degree in Data Science; additional degree in Computer Science or a related field will be a plus.
• Hands-on experience with programming languages such as Python, R, or SQL.
• Strong analytical and problem-solving skills with experience in statistical analysis and machine learning.
• Proficiency in data visualization and reporting tools (e.g., Power BI, Tableau, or similar).
• Ability to work independently as well as collaborate effectively with cross-functional teams.
• Strong communication skills with the ability to present complex insights in a simple and structured way

Job Title: Data Scientist

Location:
Islamabad

Job Type:
Full-time

Experience Required:
2–4 years

About the Role

We are seeking a skilled and detail-oriented
Data Scientist
to join our team. In this role, you will be responsible for the
full data lifecycle
— from collection and cleaning to analysis and modeling. You will play a critical role in building robust datasets, designing performance metrics, and supporting the development and evaluation of
AI models and intelligent agents
.

Key Responsibilities
Data Collection & Preprocessing

• Collect, clean, and preprocess structured and unstructured data from multiple sources.
• Ensure high data quality, integrity, and consistency.

Dataset Development

• Design and build datasets for training, validation, and testing of AI/ML models.
• Maintain proper documentation and versioning for datasets.

Model Evaluation

• Develop and implement performance metrics.
• Benchmark the effectiveness of AI models and intelligent systems.

Data Analysis & Insights

• Perform exploratory data analysis (EDA) and statistical analysis.
• Extract meaningful insights to guide model development.

Collaboration

• Work closely with ML engineers, product teams, and researchers.
• Iterate on data requirements and optimize model performance.

Qualifications

• Bachelor's or Master's degree in
  Data Science, Computer Science, Statistics, or a related field
  .
• Proven experience in
  data cleaning, preprocessing, and analysis
  .
• Proficiency in
  Python
  and libraries such as
  Pandas, NumPy, Scikit-learn
  .
• Experience in
  building/managing datasets
  for machine learning.
• Strong understanding of
  evaluation metrics
  (classification, regression, generative models).
• Familiarity with
  SQL
  and database systems.
• Excellent
  problem-solving skills
  and strong
  attention to detail
  .

Preferred Qualifications

• Experience working with
  AI agents or LLM-based systems
  .
• Knowledge of
  data versioning tools
  and
  ML pipeline frameworks
  .
• Prior experience in
  research environments or cross-functional teams
  .

Job Title:

Data Scientist

Department:

Signal Processing

Reports To:

Senior Data Scientist

Compensation:

Salary: TBD PKR per month

Benefits:

This position offers a competitive salary designed to provide employees the flexibility to arrange benefits according to their individual needs and preferences. Where applicable and available, company-sponsored benefits may also be offered.

Work Location, Hours and Flexibility:

Location:

In-office: Islamabad or Peshawar, Pakistan

Note
: Work location is subject to change based on evolving organizational needs.

Work Hours and Global Alignment:

Standard work hours will vary by role and location and may not follow a traditional 9:00 AM – 5:00 PM schedule. This role requires availability Monday through Friday, with at least 5–6 hours of daily overlap with the U.S.-based leadership team, particularly in the initial phase. Candidates must be able to align working hours across Pakistan and U.S. time zones to participate in key meetings and complete time-sensitive tasks.

Flexibility Expectations:

Flexibility is essential, as meetings and collaboration with international colleagues may occasionally occur outside of typical business hours. The schedule may evolve over time depending on team needs and the individual's demonstrated ability to work independently. Participation in both scheduled and ad hoc meetings, sometimes on short notice, across time zones and outside of regular work hours, is expected

Global Collaboration:

This role involves regular interaction with colleagues and clients across multiple countries and time zones. Candidates must be comfortable operating in a globally distributed, international team environment.

Employment Type:

Full-Time

Position Summary:

We are seeking a motivated Data Scientist to join our dynamic and collaborative team. In this role, you will contribute to data workflows, support cross-functional projects, and assist in the development and deployment of AI models. You will help transform complex clinical and imaging data into intelligent, scalable solutions that support scientific innovation and operational excellence. This position requires a strong background in data analysis, machine learning, and biomedical/clinical research, with a focus on contributing to automation, workflow optimization, and applied research.

Key Responsibilities:

1. End-to-End AI Model Development & Workflow Integration:

•
Contribute to the development and deployment of the full lifecycle of AI/ML model development—from data exploration and research to deployment, validation, and real world application—focusing on medical image segmentation, classification, and clinical data analysis.

• Learn and apply our specialized imaging and clinical workflows and integrate AI solutions seamlessly into existing operational systems.

• Ensure all solutions are clinically relevant, scalable, and aligned with regulatory, technical, and business requirements.

• Translate insights into production-ready tools that improve outcomes, automate workflows, and reduce manual processes.

2. Automation, Infrastructure & Continuous Improvement:

• Analyze manual processes and identify opportunities for automation and efficiency across clinical and imaging teams.

• Assist in building and maintaining scalable data pipelines for AI/ML workflows, ensuring robust and reproducible model performance.

• Collaborate with data engineers and developers to support optimization of tools, automation of data ingestion, and reducing system friction.

• Participate in application integration and testing to ensure compatibility, functionality, and performance at scale.

3. AI Innovation, Research & Technical Leadership:

• Conduct research and prototyping of novel approaches in computer vision, signal and image processing, and deep learning for clinical and imaging applications.

• Stay current on emerging AI technologies, tools, and methodologies; evaluate and adapt cutting-edge solutions that enhance our capabilities.

• Contribute to internal code quality through documentation, testing, modular design, and fostering best practices in reproducibility and scalability.

• Champion a culture of innovation and continuous learning within the data science function while ensuring alignment with clinical, operational, and commercial goals.

4. Cross-Functional Collaboration & Impact:

• Work closely with clinical operations, software/product, and business development teams to align data science efforts with organizational goals.

• Participate in cross-functional team meetings to assess project needs, communicate progress, and identify blockers or inefficiencies.

Qualifications:

Education:

• Bachelor's or Master's degree in AI, Data Science, Computer Science, or Biomedical Engineering or a related field, with 1-2 years of relevant experience (academic or professional).

Experience and Skills:

• Fluency in English (written and spoken) is required; ability to communicate clearly with international teams and clients.

• Demonstrated ability to manage complex projects, meet deadlines, and coordinate across multidisciplinary teams.

• Ability to adapt to shifting priorities, work across global time zones, and handle confidential information with professionalism.

• Experience in collaborating with cross-functional teams

• Experience working in a fast-paced development environment

• 1-2 years of experience developing and deploying AI/ML models (academic research, internships, or industry).

• Familiarity with the clinical trial lifecycle, from study start-up to database lock.

Key Skills:

• Effective communication and interpersonal skills with a focus on teamwork and collaboration.

• Ability to work independently and as part of a team.

• Ability to work under strict deliverable timelines and manage stressful situations.

• Skilled at working cooperatively across diverse teams and time zones to achieve shared goals.

• Ability to work independently and under strict deliverable timelines and manage highpressure situations professionally.

• Strong, hands-on experience with Python and core scientific libraries and frameworks (e.g., OpenCV, NumPy, SciPy, scikit-image, PyTorch, TensorFlow) is required. Experience with R, MATLAB, or C++/React is a plus.

• Proven ability in application development with a focus on creating efficient, maintainable, and production-ready APIs and pipelines.

• Experience contributing to AI/ML model development and deployment.

• Strong background in image processing, computer vision, deep learning architectures, large-language models and biomedical data processing.

• Data wrangling & SQL, basic understanding of MLOps tools (MLflow, Weights & Biases, DVC, Kubeflow), and basic understanding of frontend development.

• Experience with transformers, Hugging Face ecosystem, LangChain, RAG pipelines.

• Experience with best software engineering best practices, including version control (Git) and writing clean, modular, and testable code.

• Experience in agentic AI framework development (MCP, Claude CLI).

• Comfortable working in fast-paced, interdisciplinary environments with evolving clinical and operational priorities.

• Excellent problem-solving skills, with the ability to translate complex technical solutions into business impact.

• Exceptional analytical and problem-solving skills with keen attention to detail.

• Effective communication and interpersonal skills, in addition to stakeholder management skills, with the ability to translate complex data into actionable insights for technical and non-technical audiences.

About OIRRC:

The Ocular Imaging Research and Reading Center (OIRRC) is a leader in ophthalmic imaging and clinical trial support, specializing in innovative technologies and AI tools to advance eye care globally. Our mission is to revolutionize eye care by delivering cutting-edge imaging solutions that empower research, improve diagnoses, and enhance patient outcomes. We foster a collaborative and dynamic work environment that values innovation, diversity, and continuous learning, ensuring each team member's contribution is valued as we work together to make a meaningful impact on ophthalmology.

We are focused on building a highly talented and ambitious team from the ground up that revolutionizes the way we work around Data & Analytics . We are a team that has the potential to unlock tremendous value for the organization and you have the unique opportunity to be part of it from the beginning.

You will join central Data & Analytics team as a Data Scientist and bring your analytical skills and business insight to our dynamic team.

This role is perfect for someone who seeks to blend their understanding of business intelligence with the predictive power of data science to unlock new opportunities.

Responsibitlies

• Design, implement and productionize machine learning models and pipelines within an MLOps framework (from prototyping to monitoring and retraining).
• Collaborate with Product Managers and stakeholders to translate business needs into measurable ML use-cases and success metrics.
• Work hands-on in Python for exploratory analysis, model building and production code (clean, tested, versioned).
• Implement model monitoring, drift detection, alerting, and model performance dashboards.
• Contribute to model explainability, fairness audits, and bias mitigation where applicable.
• Apply rigorous A/B testing & experimentation or causal inference to validate business impact.
• Stay current with ML/AI developments (including foundation models / LLM use cases), evaluate and industrialize relevant advances.

Key Skills & Qualifications:

• MSc (preferred) or BSc in Statistics, Data Science, Computer Science, Mathematics, Engineering, Economics or equivalent.
• ~3–6+ years of hands-on experience in data science / ML, ideally with production ML or MLOps exposure.
• Strong Python skills and a track record of shipping production-grade code (pandas, numpy, scikit-learn, comfortable with Deep Learning framework (PyTorch, TensorFlow).
• Solid SQL skills and experience working with Data Warehouse (Snowflake is a plus).
• Experience with at least one end-to-end analytics / ML platform (Dataiku, DataBricks, Vertex, SageMaker)
• Familiarity with common MLOps tools (experiment tracking, model registry, CI/CD).
• Practical experience with model monitoring, retraining strategies, and observability.
• Clear communicator, able to explain technical tradeoffs to non-technical stakeholders.
• Comfortable in French (spoken/written), team communication is primarily in English; strong English proficiency is required.

We are looking for a skilled Data Scientist to join our team at Agency Partner Interactive. The ideal candidate will have a strong background in programming languages such as Python, SQL, and R, and experience with Snowflake and its AI components, including Snowpark, Cortex Search, Cortex Analyst, Document AI, Snowflake Copilot, and Cortex Agents. The candidate should also have expertise in statistics and machine learning, database management, and data visualization tools like Streamlit, Power BI, Tableau, and Qlik. Knowledge of big data technologies is essential.

Technical Skills:

• Proficiency in programming languages (Python, SQL, R, etc.)
• Experience with Snowflake and its AI components (Snowpark, Cortex Search, Cortex Analyst, Document AI, Snowflake Copilot, Cortex Agents, etc.)
• Strong understanding of statistics and machine learning
• Expertise in database management
• Proficiency in data visualization tools (Stream lit, Power BI, Tableau, Qlik)
• Knowledge of big data technologies

Analytical Skills:

• Problem-solving
• Critical thinking
• Data interpretation

Responsibilities:

• 6+ years of proven experience as a Data Scientist or in a similar role.
• Collect, process, and analyze large datasets to extract valuable insights.
• Develop and implement machine learning models and algorithms to solve complex business problems.
• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
• Design and build data pipelines and workflows to ensure efficient data processing and analysis.
• Create and maintain dashboards and reports to visualize data and communicate findings to stakeholders.
• Conduct exploratory data analysis to identify trends, patterns, and anomalies.
• Stay up-to-date with the latest advancements in data science and machine learning technologies.
• Ensure data quality and integrity by implementing best practices in data management and governance.
• Provide technical guidance and mentorship to junior data scientists and analysts.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
• Proven experience as a Data Scientist or similar role.
• Strong knowledge of programming languages such as Python, SQL, and R.
• Experience with Snowflake and its AI components (Snowpark, Cortex Search, Cortex Analyst, Document AI, Snowflake Copilot, Cortex Agents, etc.).
• Expertise in statistics and machine learning.
• Proficiency in database management and data visualization tools like Streamlit, Power BI, Tableau, and Qlik.
• Familiarity with big data technologies.
• Excellent analytical skills, including problem-solving, critical thinking, and data interpretation.
• Strong communication skills to effectively convey complex data insights to non-technical stakeholders.

Job Type: Full-time

Application Question(s):

• What are your current & gross salary expectations, and is it negotiable?
• If hired, what would be your notice period, and is there any possibility of an early joining date?
• Have you worked with international clientele and their projects? If so, can you share your experience?
• Why are you considering leaving your current role, or why did you leave your previous company?
• Please provide your email address for further communication:
• Which time slot do you prefer: 3:00 PM to 12:00 AM or 5:00 PM to 2:00 AM?

Work Location: In person

Data Scientist

Location:
Onsite / Remote — Lahore, Pakistan

Working Hours:
US Timezones (EST / CST / MT)

Type:
Full-time

About Yakam Consulting

Yakam Consulting is a US-based AI and Data Science consultancy helping businesses transform through machine learning, analytics, and GenAI solutions. We partner with clients in healthcare, fintech, retail, and digital transformation — delivering data-driven impact and production-ready AI systems.

Role Overview

We're looking for a
Data Scientist (1–3 years experience)
who's passionate about turning data into actionable insights and scalable ML models. You'll work on real-world AI projects — from predictive modeling and NLP to LLM-based solutions — alongside an experienced global team.

Key Responsibilities

• Collect, clean, and analyze structured and unstructured data.
• Develop and evaluate ML models using Python and libraries like
  scikit-learn
  ,
  XGBoost
  ,
  LightGBM
  , or
  TensorFlow/Keras
  .
• Perform EDA, feature engineering, and data visualization to uncover insights.
• Deploy models to production via
  APIs
  or MLOps frameworks.
• Collaborate with engineers and business stakeholders to define data-driven solutions.
• Communicate findings through clear reports, dashboards, and visualizations.

Required Skills

• Bachelor's degree in computer science, data science or related field
• 1–3 years
  of experience in
  Data Science / Machine Learning
  .
• Strong in
  Python
  ,
  pandas
  ,
  NumPy
  , and
  SQL
  .
• Solid understanding of
  ML algorithms
  , model evaluation, and data preprocessing.
• Experience with
  data visualization
  (Matplotlib, Seaborn, Power BI, or Tableau).
• Familiarity with
  Git
  ,
  APIs
  , and basic model deployment.

Nice to Have

• Exposure to
  NLP / GenAI / LLM
  projects or tools like
  LangChain
  ,
  OpenAI API
  , or
  Hugging Face
  is a big plus.
• Knowledge of
  cloud platforms
  (AWS, GCP, or Azure) and
  MLOps tools
  (MLflow, Airflow).
• Prior experience with client-facing projects or consulting.

Why Join Us

• Hands-on exposure to AI/ML projects for global clients.
• Flexible work model — remote or onsite in Lahore.
• Mentorship from senior data scientists and opportunities for rapid growth.
• Collaborative environment focused on learning, innovation, and delivery excellence.