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