109 AI Consultant jobs in Pakistan

We are looking for a mid-level AI & Data Science Strategy Consultant with strong communication and presentation skills to support our leadership team in shaping, packaging, and communicating our AI strategy. This role is ideal for a data science professional with a strategic mindset who is skilled at building executive-level decks, visualizing insights, and translating technical content into business value.

• Work closely with leadership to develop and refine AI strategy presentations, vision decks, and executive briefings.

• Convert complex data science and AI concepts into clear, compelling visuals and narratives tailored for senior stakeholders.

• Conduct industry and internal research to support storyline development for leadership materials.

• Create and maintain a library of slide templates, use case summaries, and talking points aligned with business priorities.

• Collaborate with product, engineering, and analytics teams to gather inputs and validate key insights.

• Analyze data and model outputs to identify key takeaways and structure them for business audiences.

• Help track and summarize progress on AI initiatives to support leadership updates and board-level communication.

• 2–4 years of experience in data science, analytics, or a strategy-support role involving technical storytelling or executive communications.

• Strong slide design and storytelling skills — proficiency in PowerPoint, Google Slides, or similar, with a proven ability to create clean, structured, and visually appealing presentations.

• Solid foundation in data science and machine learning concepts such as regression, clustering, NLP, LLMs, or recommendation systems.

• Proficiency in Python and SQL , with experience analyzing and extracting insights from large datasets.

• Excellent verbal and written communication skills , especially when translating technical content for executive or non-technical audiences.

• Bachelor’s degree in Data Science, Statistics, Engineering, Computer Science, Business, or a related field.

• Experience working cross-functionally and juggling multiple workstreams in a fast-paced environment.

• Prior experience supporting C-suite communications, board presentations, or internal strategy rollouts.

• Familiarity with storytelling techniques for consulting-style presentations (e.g., MECE structure, executive summaries).

• Understanding of AI business use cases and ability to craft narratives around value creation, efficiency, or innovation.

• Exposure to tools like Tableau, Power BI, Figma, or Notion for visual storytelling or dashboards.

• Experience with enterprise AI platforms or tools such as ChatGPT, Claude, Azure OpenAI, or similar.

• Background in consulting, corporate strategy, product marketing, or innovation teams is a strong plus.

Karachi

Remote

One-year contractual role

We are seeking a talented Data Scientist with strong expertise in SAS Viya and significant experience in
the banking and telecom sectors. In this role, you will leverage advanced analytics and machine learning
techniques to derive actionable insights from large datasets, optimizing business decisions and
strategies. Your knowledge of SAS Viya, along with your domain expertise, will be essential for
developing predictive models, improving customer experience, and enhancing operational efficiency.

Description

• Develop, implement, and fine-tune predictive and statistical models using SAS Viya to address
  business needs, with a focus on customer segmentation, churn prediction, fraud detection, and
  risk management in the banking and telecom sectors.
• Conduct deep data analysis and feature engineering to uncover patterns, trends, and insights
  that drive business strategies in banking and telecom operations.
• Integrate and process large datasets from various sources (e.g., transactional data, customer
  behavior data, financial data) and leverage SAS Viya’s cloud-native capabilities for scalable data
  processing and analysis.
  
• Apply machine learning algorithms and artificial intelligence techniques to develop models that
  enhance customer experience, optimize marketing campaigns, and improve operational
  efficiency.
• Present findings and insights through clear and actionable visualizations and reports using SAS
  Visual Analytics and other reporting tools, making complex data accessible to stakeholders.
• Continuously improve model performance by fine-tuning algorithms and optimizing data
  workflows to handle large volumes of data efficiently.

Requirements

• 5+ years of experience as a Data Scientist with a strong background in SAS Viya and experience
  working in banking and telecom sectors.
• Strong proficiency in SAS Viya (including SAS Visual Analytics, SAS Visual Data Mining and
  Machine Learning, and SAS Cloud Analytics).
• Experience with predictive modeling, statistical analysis, and machine learning algorithms in
  both sectors.
• Excellent communication skills, with the ability to translate technical findings into business
  insights for non-technical stakeholders.

Devsinc is seeking a talented Data Science Engineer who will play a pivotal role in designing, implementing, and optimizing data-driven solutions that enhance our machine learning capabilities. The ideal candidate has a strong background in data engineering combined with machine learning and is passionate about applying modern technologies to drive innovation. You will collaborate with data scientists, analysts, and software engineers to create robust data pipelines and deploy advanced models.

Key Responsibilities:

• Design and implement scalable data pipelines to efficiently collect, process, and analyze large volumes of data from various sources.
• Collaborate with data scientists to transform machine learning models into production-ready applications.
• Optimize and maintain existing data workflows, ensuring data accuracy, quality, and integrity throughout the process.
• Evaluate and integrate new data management and processing technologies to enhance analytics capabilities.
• Create and manage data repositories, following best practices for data governance and security.
• Develop documentation and provide training to team members on data systems and workflows.
• Utilize cloud platforms (e.g., AWS, Azure, Google Cloud) for data storage, processing, and machine learning deployment.
• Stay updated on the latest industry trends and technologies in data engineering and machine learning.
• Lead the development and deployment of machine learning models that drive key business metrics and outcomes.
• Build and maintain scalable data pipelines and feature stores for training and inference use cases.
• Work closely with product, engineering, and business teams to identify high-impact data science opportunities and close the loop on delivery.
• Monitor and retrain models in production to ensure performance over time and handle data drift issues.
• Contribute to architectural decisions on data platforms and model-serving infrastructure.
• Mentor junior team members and help shape best practices in data science engineering.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Machine Learning, or a related technical discipline.
• 3-5 years of professional experience in data science and engineering roles, with a track record of delivering production-ready solutions.
• Demonstrated experience translating business problems into data science projects with measurable outcomes.
• Prior experience working closely with business stakeholders to operationalize models and drive ROI.

Soft Skills:

• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills, both verbal and written, to convey technical concepts effectively.
• Ability to work collaboratively in a fast-paced team environment and manage multiple priorities.
• Motivated self-starter with a passion for learning and applying new technologies.

Qualifications: Bachelors or Masters degree in Computer Science, Statistics, or a related field.

Job Description: Data Science Position at Corvit Systems Multan.

About Company:
Corvit Systems is a leading provider of IT training in Multan. We offer courses from world-renowned vendors such as Cisco, Huawei, Juniper, Microsoft, VMware, Aruba, and Red Hat. Our training covers various domains including Routing, Switching, Security, Voice, Wireless, Data Center, Service Provider, Operating System, Virtualization, and Exchange Server/Email Server. We foster an encouraging and supportive environment that enhances the perception and technical intellect of individuals. Our goal is to unlock the inner potential of students and develop a competitive edge in the professional world.

1. Apply advanced statistical and machine learning techniques to analyze large datasets and extract valuable insights.
2. Develop predictive models and data-driven solutions to optimize business processes and drive decision-making.
3. Collaborate with cross-functional teams to identify and prioritize data science opportunities and challenges.
4. Clean, preprocess, and transform raw data to ensure accuracy and reliability.
5. Communicate complex findings and methodologies to both technical and non-technical stakeholders.
6. Stay up-to-date with the latest advancements in data science and relevant tools and technologies.
7. Use data visualization techniques to present results in a clear and meaningful way.

1. Strong analytical and problem-solving abilities with a keen eye for detail.
2. Proficiency in programming languages such as Python or R, and SQL.
3. Experience with statistical analysis, machine learning algorithms, and data visualization tools.
4. Solid understanding of data manipulation, data cleansing, and feature engineering techniques.
5. Excellent communication and presentation skills to convey complex information to diverse audiences.
6. Ability to work independently and collaboratively in a fast-paced, deadline-driven environment.
7. Strong business acumen and the ability to translate business requirements into data science solutions.

We are looking for a skilled and dedicated Academic Writer with specialization in Data Science or Electrical Engineering to join our team on a project-based basis. This role is ideal for professionals who have a strong academic background and enjoy research, writing, and applying programming concepts to real-world problems.

Key Responsibilities:

• Produce original, well-researched academic content related to Data Science and related fields.
• Interpret and implement complex project requirements provided by students and researchers.
• Use analytical tools such as Python, R Language, Tableau, and Power BI to solve case-based or research-oriented tasks.
• Ensure timely delivery of assignments with proper referencing, citations, and formatting (APA, Harvard, etc.).
• Maintain academic integrity by avoiding plagiarism and providing unique content.

Requirements:

• A Master’s degree (or higher) in Data Science, Computer Science, Electrical Engineering, Statistics, or a related field.
• Proven experience in academic and research writing.
• Strong command over Python, R, Tableau, and Power BI (Hands-on is a must).
• Excellent written communication skills in English.
• Ability to understand academic tasks, conduct literature reviews, and write technical reports and analyses.

Preferred Qualifications:

• Experience as a university lecturer or academic tutor.
• Familiarity with data analysis libraries and research methodologies.
• A publication record in journals (a plus).

Why Join WeDoCourse?

• 100% Remote Work – Flexibility to work from anywhere.
• Project-based income – Get paid per task.
• Opportunity to grow in the academic writing industry.
• Collaborative and supportive environment.
• Exposure to diverse topics and international academic standards.

Join us in shaping academic success, one project at a time. Let your expertise make a difference with WeDoCourse!

Overview:
We’re looking for a hands-on Data Science & Engineering Lead to lead our data strategy and help scale a lean, high-impact team. This role blends leadership, architecture, and deep technical work - from building predictive models to designing the infrastructure that powers real-time decision-making. You’ll partner closely with cross-functional teams (Product, Business, Finance, Tech) and take full ownership of analytics delivery from raw data to actionable insight.

This is a builder’s role - ideal for someone who wants deep ownership, startup pace, and the chance to grow as we scale.

Responsibilities:

• Define and deliver our data strategy - from core infrastructure to insights delivery
• Build and mentor a team of 2–5 data scientists and engineers
• Design and deploy predictive models, recommendation systems, and performance analytics
• Architect, deploy, and maintain scalable data pipelines and analytics tooling
• Own and scale robust data pipelines and ensure data integrity across business verticals
• Collaborate closely with stakeholders across Product, Business Finance, and Tech teams to integrate data into daily operations and product decisions
• Act as the go-to person for data strategy, experimentation, and insights
  
  
  
  
  

• 5–6 years of relevant experience in data science, engineering or analytics,
• At least 1-2 years in a leading or mentoring small teams (leading 2-5 people) within an agile high tech environment
• Strong command of Python or R; strong SQL skills required
• Deep expertise in data analysis, predictive modeling, designing scalable pipelines, and maintaining analytics infrastructure
• Familiarity with modern BI tools (e.g., Looker, Metabase, Power BI, Tableau)
• Experience working cross functionally with business and product teams
• Startup mindset; strong bias for action, autonomy and ownership; able to apply agile principles and own delivery end to end
  
  
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Hospitality, Food and Beverage Services, and Retail

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