ML Enablement Lead / Senior Applied Data Scientist
Location: London
Mode of working: Hybrid. Minimum 3 days/week in office.
Objective: AI for Colleagues
Above Role:
The ML Enablement Lead focuses on building ML capability and confidence within the business.
This role supports stakeholders who are new to machine learning and Databricks, helping them understand where ML adds value and how to use it effectively.
The emphasis is on coaching, skills transfer, and change adoption, rather than complex or academic modelling.
Key responsibilities:
- Work closely with business and technical stakeholders who are early in their ML journey
- Provide hands‑on coaching, mentoring, and guidance
- Support teams in building confidence with ML concepts and workflows
- Guide stakeholders through:
- Problem framing for ML
- Feature selection and model development
- Model evaluation and interpretation
- Focus on simple, practical, and valuable ML solutions
- Translate complex ML concepts into easy‑to‑understand workflows
- Create simple examples, templates, and learning materials
- Support workshops, training sessions, and informal learning
- Help stakeholders identify where ML:
- Adds real business value
- Is feasible within current skills and data
- Encourage pragmatic decision‑making over “perfect” solutions
- Introduce good MLOps habits:
- Experiment tracking
- Version control
- Basic deployment considerations
- Guide teams towards production‑ready thinking without overwhelming them
- Support behavioural and cultural change around ML adoption
- Build trust with non‑expert users
- Act as a supportive partner
Must‑have skills:
- Strong Python skills within the ML ecosystem
- Hands‑on, applied ML experience
- Understanding of MLOps fundamentals
- Excellent communication, teaching, and coaching ability
- Strong stakeholder engagement skills
- Ability to simplify complex topics
- Good business understanding and pragmatic mindset
- Ability to self-start and work proactively
- Patience, coaching mindset, and focus on stakeholder needs
Nice to have
- Databricks experience
- Deep learning experience
What we offer
- The chance to work with impact. Here, you’re empowered to bring your biggest thinking to help our company and clients improve everyday life.
- Ownership over your career. Stay at the top of your game through our award-winning learning and development ecosystem. And when your ambitions change or we offer new opportunities, we help you pivot by providing reskilling, on-the-job learning and guidance to find new roles that might be a better fit.
- The opportunity to thrive on a high caliber team with heart. We celebrate each other’s experiences and perspectives and promote a sense of belonging through our affinity groups and diversity and inclusion initiatives.
- A comprehensive total rewards package, including a competitive salary and a pension plan with matching contributions.
- Flexible health and financial benefits to support you and your eligible dependents—from day one.
- True work-life balance. Be at your best through paid time off, flexible work arrangements, volunteering opportunities, social events, and so much more.
About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
Other employment-related information
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
Language requirements vary depending on roles, but we ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.