Job Description
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 OverviewWe’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.