Data Scientist

📍 Location: Onsite / Remote — Lahore, Pakistan

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

💼 Type: Full-time

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.

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.

• 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.
  

• 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.
  

• 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.

• 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.