Lead Data Scientist

What will you be responsible for We are looking for a Data Scientist to join theDwX(Digital Workplace Experiences) team to build and enhance AI/ML solutions, with a focus on LLM fine-tuning, model evaluation, and AI-driven use cases across HR, Finance, and Enterprise workflows. This role requiresa strong foundationinmachine learning, data engineering basics, and Generative AI concepts, with hands-on experience in developing and improving models for real-world business problems. Develop, fine-tune, andoptimizemachine learning and LLM-based modelsfor enterprise use cases (chatbots, automation, insights) Work onprompt engineering, fine-tuning techniques, and model evaluation frameworks ImplementRAG (Retrieval-Augmented Generation)patterns using enterprise data sources Experiment with different models (OpenAI, open-source LLMs) to improve performance and accuracy Build and deploysupervised/unsupervised ML modelsand NLP solutions Performdata analysis, feature engineering, and model validation Apply statistical techniques toidentifypatterns and generate insights Continuously improve models based on feedback and evaluation metric What would your day look like Work closely withdata engineering teamsto consume clean, reliable datasets Understand basics ofdata pipelines, datamodeling, and cloud platforms (Azure/Snowflake) Support integration of AI models into scalable data/AI platforms Assistin deploying models into production (batch or API-based) Supportmonitoring, performance tuning, and continuous improvement of models Contribute toML/LLM lifecycle practices (experimentation deployment evaluation) Work with product, business, and engineering teams to understand requirements Translate business problems into data science solutions Present insights and model outcomes in a simple, clear manner Who are we looking for 6-9 years of experience inData Science / Machine Learning Strong fundamentals in:Machine Learning (Regression, Classification, Clustering),NLP and Deep Learning basics andStatistics and data analysis Hands-on experience with:Python, SQL (must have) &ML frameworks (scikit-learn,PyTorch, TensorFlow) Exposure to: Generative AI / LLMs (GPT, Llama, etc.) &Basicfine-tuning / prompt engineering / RAG concepts Experience working withlarge datasets and data processing Understanding ofdata engineering basics (ETL, pipelines, data storage) Strong problem-solving and analytical skills Bachelor's degree in mathematics, statistics, healthcare administration, or related field. 5+ years of experience in Python, SQL, R, SAS