Cognizant is hiring a Data Scientist Senior Consulting Manager to lead the design, build, and operationalization of modern analytics solutions. In this role, you will take on leadership responsibilities, guiding small, high-performing teams as they deliver impactful AI initiatives for clients.
What You'll Do
- Apply advanced statistical and scientific methods to frame problems, validate assumptions, and quantify impact.
- Engineer and integrate data across structured and unstructured sources, overseeing data wrangling and feature engineering for production-grade pipelines.
- Build and guide development of models using Python and libraries such as scikit-learn, pandas, numpy, and develop deep learning solutions using TensorFlow and PyTorch.
- Process big data at scale using Spark and cloud-native tools like AWS Glue or Azure Data Factory.
- Operationalize ML solutions using MLOps practices, including CI/CD for models, reproducible training, and automated deployment.
- Deliver applied ML and AI across predictive analytics, time series forecasting, anomaly detection, NLP, computer vision, and Generative AI.
- Govern and monitor models in cloud environments, establishing retraining schedules, performance monitoring, and risk controls.
- Design machine learning architectures that support pre-sales engagements and accelerate the successful initiation of new projects.
- Lead agile delivery practices using tools such as JIRA and Trello, ensuring backlog health and delivery quality.
- Coach, mentor, and develop team members while advocating for data-driven decision making.
- Think strategically about data collection, metric design, and ethical AI, driving responsible and transparent use of data.
What We're Looking For
- 5+ years of hands-on experience in statistical methods and ML engineering across the end-to-end lifecycle.
- Proficiency in Python and strong command of ML/DS libraries (scikit-learn, pandas, numpy, TensorFlow/PyTorch).
- Experience working with GCP, AWS, and Azure data services.
- Demonstrated MLOps expertise covering CI/CD, model registries, reproducible training, and automated deployment.
- Ability to communicate technical insights clearly to non-technical audiences, with strong storytelling skills.
- Proven agile delivery experience, confident in facilitating ceremonies and partnering with product owners.
- Strong grounding in data security and compliance, especially in regulated industries.
- Working knowledge of cloud-native software architecture, service design, and version control (Git).
- Experience leading small AI teams and mentoring junior data scientists on AI/ML initiatives.
Nice to Have
- Experience designing gen-AI and agentic AI architectures.
- Background in real-time analytics and event-driven architectures.
- Prior consulting experience and domain expertise.
- A strong track record of driving innovation and accelerating the adoption of advanced analytics in complex organizations.
Technical Stack
- Python, scikit-learn, pandas, numpy, TensorFlow, PyTorch, Spark, AWS Glue, Azure Data Factory, Git
Team & Environment
You will lead small, high-performing teams in delivering impactful AI initiatives.
Work Mode
This is a hybrid position based in London, UK.
Cognizant is an equal opportunity employer.
