At a Glance
- Tasks: Design and optimise decision frameworks using data, AI, and customer engagement.
- Company: Join a high-end consultancy focused on financial services and innovative solutions.
- Benefits: Flexible hybrid working, ongoing training, and a culture of inclusion and collaboration.
- Other info: Dynamic career growth opportunities across all project lifecycle areas.
- Why this job: Make a real impact by solving complex business challenges with cutting-edge technology.
- Qualifications: Experience in Python, ML development, and strong stakeholder management skills.
The predicted salary is between 70000 - 90000 £ per year.
emagine is a high-end professional services consultancy and solutions firm specialising in providing business and technology services to the financial services sector. We power progress, solve challenges, and deliver real results through tailored high-end consulting services and solutions.
We have created a culture of openness and integrity by building genuine and strong relationships and partnerships, enabling us to be uncompromising in our dedication to delivering the optimal service for our clients. We are building a best-in-class Next Best Action (NBA) decisioning capability and are hiring experienced professionals to design, scale, and optimise decisioning frameworks across multiple markets.
This is an opportunity to work at the intersection of data, AI, and customer engagement, delivering personalised, real-time experiences in a regulated environment.
- Decision governance, explainability, regulatory awareness
- Strong stakeholder management & Agile delivery
- Lead NBA Data Scientist
- Design and optimise ML models driving NBA decisioning
- Advanced Python & ML development
- A/B testing, uplift measurement, model governance
- Git, Agile, cross-functional collaboration
- Decision logic configuration (eligibility, prioritisation, suppression)
- Testing, simulation & performance optimisation
- Adobe AEP, Financial Services, multi-market experience
- Data Integration & System Engineers
- Build scalable data pipelines supporting decisioning systems
- Spark, Scala, Python, SQL
- Data pipelines (batch & near real-time)
- Data modelling, governance & CI/CD
- QA / Test Specialists
- Ensure quality and performance across data and decision platforms
- Python, SQL, Bash
As your career progresses, you can expect to work across all areas of the project lifecycle, from strategy to implementation. The ideal consultants will share our values and be aligned with our ways of working. Promoting a culture of inclusion, collaboration, well-being, and learning and development.
Providing increased agility and flexibility within our hybrid working model. Investing in employees’ growth through ongoing training and development. Autonomy to take ownership of projects, making decisions and demonstrating individual expertise. Providing a transparent performance and career management experience.
Our consultants are integral to delivering successful consulting engagements, addressing our clients’ most pressing business challenges, and building lasting value in disciplines such as:
- Solve sophisticated, ambiguous business, change and technology problems, bringing structure and meticulous analysis and planning, acting, and taking decisions with little strategic direction
- Drive, enable and support the business, partnering with our leaders, clients, and consultants across our practices to take the best of emagine to our clients through opportunity identification/qualification, solution development/presentation
At emagine, we are committed to building an international and diverse team by embracing our different backgrounds.
If you are up to the challenge and would like to find out more, get in touch with us immediately; our internal recruitment team is always keen to hear from dynamic individuals that are looking to further their career and explore their full potential.
It is the policy of the Company to give equal opportunity in employment regardless of sex, sexual orientation, marital status, race, age, disability, gender reassignment, pregnancy and maternity, religion or ethnic origin.
Locations
