Rodeo
ResourcesPartnersSign in

SBS

Principal DevOps Architect III

Remote
Posted 1 day ago
Sign up to applySee more jobs like this

How your CV stacks up

1Upload CV
2Analyse CV
3Improve CV

Upload your CV to see how well it fits this job role

?%

Position Overview

SBS is seeking a Lead/Principal Data Scientist to join its growing Data & AI function in the UK. This is a senior, high-impact role responsible for shaping and delivering advanced data science solutions across SBS products and client engagements.

The successful candidate will combine deep technical expertise with strategic leadership, driving the development of scalable AI/ML models, influencing product innovation, and enabling clients to unlock value from their data.

Location: Greater London, UK
Hybrid: Flexible Onsite Schedule

Responsibilities

Data Science Leadership

  • Lead the design and delivery of advanced analytics, machine learning, and AI solutions across SBS platforms and client projects
  • Act as a technical authority for data science, setting best practices and standards across the organization
  • Mentor and guide junior and senior data scientists, fostering a high-performance, collaborative team environment

Model Development & Deployment

  • Develop and deploy machine learning models for use cases such as:
    • Fraud detection
    • Credit risk modeling
    • Customer segmentation and personalization
    • Forecasting and optimization
  • Ensure models are scalable, explainable, and production-ready
  • Work closely with engineering teams to operationalize models within production environments (MLOps)

Product & Innovation

  • Partner with Product, Engineering, and Architecture teams to embed AI capabilities into SBS solutions
  • Identify opportunities to leverage AI/ML to enhance banking products and client outcomes
  • Drive innovation through experimentation with emerging technologies (e.g., GenAI, LLMs, predictive analytics)

Client Engagement & Stakeholder Management

  • Engage with clients and internal stakeholders to understand business challenges and translate them into data science solutions
  • Present insights, models, and recommendations to senior leadership and client executives
  • Act as a trusted advisor on data strategy and AI adoption

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

See breakdown
Save jobNot relevant
View details

It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

See breakdown
Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

See breakdown
Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Data Strategy & Governance

  • Support the development of data strategy frameworks, ensuring alignment with regulatory and compliance requirements
  • Promote best practices in data governance, model validation, and ethical AI usage

Qualifications

Required Background:

  • MSc or Higher in Artificial Intelligence, Computer Science, Data Science, or a closely related discipline
  • Strong grounding in machine learning, Generative AI, Agentic AI, explainable AI (XAI), and type-2 fuzzy logic systems
  • Additional training or certification in cloud computing, software engineering best practices, or data security (desirable)

Required Skills:

  • Proficiency in Generative and Agentic AI
  • Proficiency in AI/ML model development, including feature selection, XAI techniques, and consensus modelling
  • Strong programming skills (e.g., Python, Java, or similar) and experience with open-source AI libraries
  • Ability to integrate AI models into commercial software architectures and ensure compliance with GDPR and security standards
  • Excellent analytical and problem-solving skills; capable of designing and validating algorithms
  • Strong communication skills, stakeholder engagement, and technical reporting
  • Experience with Generative AI Retrieval-Augmented Generation, and cloud deployment
  • Familiarity with financial data structures and API integration (desirable)

Required Attributes:

  • Highly motivated, adaptable, and able to work independently while collaborating with academic and industry teams
  • Commercial awareness and ability to align technical solutions with business objectives
  • Strong organizational skills to manage complex, multi-stage projects
  • Strong written and spoken English, with excellent communication skills

Get help with your application

Your very own career expert that helps elevate your application to the next level.

Get help applying for this job

Preferred Experience:

  • Advanced degree (Master’s or PhD) in Data Science, Computer Science, Statistics, Mathematics, or related field
  • Experience with GenAI / LLMs and NLP applications
  • Knowledge of regulatory frameworks in financial services (e.g., GDPR, model risk governance)

Company Overview

At SBS, we’re more than just a technology company, we’re a global fintech partner helping banks and financial institutions transform, innovate, and grow. With over 5,000 employees worldwide and clients in more than 80 countries, our solutions power everything from digital banking and lending to payments and core banking systems.

As part of 74Software, we’re backed by a group of leading software companies delivering mission-critical solutions worldwide. Our focus is on delivering long-term value, leveraging cutting-edge technology, and fostering strong client partnerships. Join us and be part of a collaborative, forward-thinking team shaping the future of finance.

Why SBS?

At SBS, we’re committed to supporting our employees in every aspect of their lives, from health and wellbeing to financial security and lifestyle perks.

We offer benefits that allow you to thrive at work and beyond, including health coverage, retirement plans, paid time off, flexible work, career development, competitive pay, and global culture perks.

Equal Opportunity Employer

We are committed to providing equal opportunities and ensuring a fair and inclusive recruitment process. We do not discriminate on the basis of age, disability, gender, sexual orientation, race, religion, or any other protected characteristic.

#LI-KJ1
#LI-Hybrid

Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

Get help applying for this job

Skills

Generative AI
Agentic AI
Machine Learning
Python
Java
MLOps
Explainable AI
Retrieval-Augmented Generation
Data Strategy
Consensus Modelling
NLP
Cloud Deployment
GDPR Compliance
Financial Data Structures
API Integration
Algorithm Design

Location

United Kingdom

Sign up to applySee more jobs like this