Senior Data Scientist

About the role

Devsinc is looking for a skilled and results-driven Senior Data Scientist with 3+ years of professional experience in data science, machine learning, artificial intelligence and predictive analytics. The role covers building, training, evaluating and deploying machine learning models, turning complex datasets into actionable business insights. Experience with Generative AI, Large Language Models (LLMs) and cloud-based AI services is a strong advantage.

Key responsibilities

• Collect, clean, process and analyse structured and unstructured data to find patterns, trends and business opportunities.
• Develop, train, evaluate and optimise machine learning and deep learning models for real-world applications.
• Build predictive models, classification and regression systems, recommendation engines and forecasting solutions.
• Use Python libraries such as Pandas, NumPy, Scikit-learn, Matplotlib and Seaborn for analysis, visualisation and modelling.
• Work with TensorFlow, PyTorch and Keras, and use Generative AI, LLMs and prompt engineering to build intelligent applications and automate workflows.
• Apply statistical analysis, hypothesis testing, feature engineering and model validation to improve model performance.
• Build data pipelines and integrate models into production via APIs and backend services.
• Collaborate with software engineers, data engineers, product managers and business stakeholders.
• Monitor deployed models, detect data drift and document technical processes, architectures and experiments.

Required profile

• Bachelor's or Master's degree in Computer Science, Data Science, AI, Statistics, Mathematics or a related field.
• Strong understanding of statistics, data analysis, feature engineering and model evaluation.
• Excellent analytical, problem-solving and communication skills.

Required skills

• Python, Pandas, NumPy and Scikit-learn.
• Hands-on experience with machine learning and deep learning, TensorFlow or PyTorch.
• SQL, data visualisation tools and REST APIs (FastAPI or Flask).
• Preferred: Generative AI, LLMs, RAG, LangChain, LlamaIndex, Hugging Face, AWS/Azure/GCP, Docker, Git, MLOps tools such as MLflow.