Technology Lead

At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you’re passionate about developing your career, while helping others along the way, come join the Broadridge team.

• Master's or bachelor’s degree in computer science, Data Science, Statistics, Mathematics, Engineering, or related quantitative discipline
• 3–6 years of experience in Data Science, Machine Learning, or AI
• Experience delivering enterprise-grade analytics or AI solutions
• Strong communication and stakeholder management skills

• Python
• SQL
• R (optional)

Experience with:

• Supervised Learning
• Unsupervised Learning
• Time Series Forecasting
• Recommendation Systems
• Clustering
• Classification
• Regression
• Ensemble Models
• Gradient Boosting
• Explainable AI

Experience with:

• TensorFlow
• PyTorch
• Hugging Face Transformers
• Neural Networks
• Computer Vision (preferred)
• NLP

Hands-on experience with:

• Prompt Engineering
• RAG
• AI Agents
• Function Calling
• Embeddings
• Model Evaluation
• AI Safety and Guardrails

• Pandas
• NumPy
• Scikit-learn
• XGBoost
• LightGBM
• MLflow
• Jupyter
  

We are dedicated to fostering a collaborative, engaging, and inclusive environment and are committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company—and ultimately a community—that recognizes and celebrates everyone’s unique perspective. 

Use of AI in Hiring 

As part of the recruiting process, Broadridge may use technology, including artificial intelligence (AI)-based tools, to help review and evaluate applications. These tools are used only to support our recruiters and hiring managers, and all employment decisions include human review to ensure fairness, accuracy, and compliance with applicable laws. Please note that honesty and transparency are critical to our hiring process. Any attempt to falsify, misrepresent, or disguise information in an application, resume, assessment, or interview will result in disqualification from consideration.