Advisory Consultant (I9)
Dell Technologies · Bangalore, India · Consulting
Professional Services Advisory Consultant- Data Scientist
Today, every organization needs to be digital, powered by data, running in a multi-cloud world, ready to take on anything. Our Consulting team assesses customer’s strategic, organizational and business challenges and uses in-depth industry knowledge to offer technical solutions that apply to future business environment and operational objectives to help our Dell Technologies gain market share and increase efficiency.
Join us to do the best work of your career and make a profound social impact as a Professional Services Advisory Consultant on our Consulting Team in Bangalore.
What you’ll achieve
We are seeking a senior Data Scientist to lead the design and implementation of advanced analytical solutions that drive strategic business value for our clients. In this role, you will transition beyond building isolated models to architecting "Compound AI Systems." You will be responsible for turning ambiguous business challenges into scalable, production-ready machine learning (ML) and Large Language Model (LLM) applications. As a senior member of the team, you will act as a bridge between technical execution and business strategy, mentoring junior talent while ensuring our AI projects & initiatives are ethical, robust, and impactful.
You will:
Problem Framing: Translate complex business needs into end‑to‑end data products, from discovery and data acquisition to deployment and continuous monitoring.
Design and build integrated systems combining predictive models, RAG pipelines, foundation models, and GenAI solutions.
- Scientific Rigor: Lead A/B testing, multivariate experiments, and causal inference to measure product impact; collaborate on reproducible feature pipelines.
Team Growth: Mentor junior and mid‑level data scientists, conduct code reviews, and foster technical excellence.
Establish best practices for validation, version control, and documentation, and communicate insights to executives through clear data storytelling.
Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:
Essential Requirements
- Programming: Advanced Python (NumPy, Pandas, ML/DL frameworks) and expert SQL
Generative AI: LLM orchestration (LangChain, LlamaIndex, LangGraph, etc.) and model fine‑tuning.
Strong grounding in Bayesian methods and uncertainty quantification
- Production: Model deployment with FastAPI/Flask, Docker, and Kubernetes
Orchestration & MLOps: ML pipelines using Airflow or Kubeflow with monitoring and HITL feedback.
Cloud ML platforms (SageMaker, Azure ML, Vertex AI) and vector DBs (Pinecone, Milvus, Weaviate)
Desirable Requirements
Master’s or PhD in a quantitative field (Computer Science, Statistics, Mathematics, Physics, or Economics). Equivalent professional experience will be considered.
12-18 years of experience in a Data Science role, with at least 5 years at a Senior level delivering models to production.
- Proven track record of linking data science outcomes to KPIs such as revenue growth, churn reduction, or operational efficiency.Exceptional problem-solving skills, intellectual honesty, and the ability to work in an agile, fast-paced environment.
Who we are
We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
Application closing date: 29th May 2026
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.