At a Glance
- Tasks: Develop machine learning products to analyse customer spending patterns and generate insights.
- Company: Yaspa, a dynamic tech company focused on identity and payments.
- Benefits: Flexible hours, remote work, generous holiday allowance, and personal development budget.
- Other info: Collaborative culture with opportunities for growth and exciting team socials.
- Why this job: Join a fun team and make a real impact in the world of AI and payments.
- Qualifications: Experience in Python, machine learning, and strong analytical skills required.
The predicted salary is between 50000 - 70000 £ per year.
Contract - Outside IR35 - Start ASAP
Location: Remote UK/Europe
Yaspa started in 2017 as ‘Citizen’, a company with the vision of connecting identity and payments. Over the years our product offering has evolved, but that focus has remained the same. We believe there is a sweet spot in the combination of payment and identity data that will dramatically improve payment velocity, security and consumer trust. We use open banking to power real-time payments and instant verification.
The Role
We are seeking a skilled data scientist to contribute to our Intelligent Payments platform, powered by open banking. Your role will involve developing a Machine Learning product that analyses customers’ transactional data (provided with their consent) to generate insights based on their spending patterns. These insights will be applied across sectors like loans for risk management and IGaming for managing customer spending behaviours. You will play a crucial role in our transition from a payment‑focused business to one that leverages AI and machine learning to better understand our customers.
Key Responsibilities
- You will use Python, with a strong grounding in feature engineering, model evaluation, and inference pipelines to help shape the future of our product offerings.
- Act as a subject matter expert in Analytics: Strong understanding of statistics, experimental design, and hypothesis testing to identify trends and patterns, and develop predictive models.
- Design and deploy Agentic AI systems capable of autonomous, multi‑step reasoning, e.g. such as agents that categorise financial transactions by searching for merchant information, applying labels, and surfacing confidence scores with transparent reasoning.
- Lead data labeling at scale to produce ground‑truth datasets and use ML techniques to maximise labelling efficiency.
- Build AI agents that integrate with external tools and data sources via protocols such as MCP, enabling LLMs to interact directly with codebases, APIs, or internal systems to automate complex workflows.
- Lead model deployment with an eye for performance, scalability, and real‑time low‑latency inference.
- Deliver robust, low‑failure‑rate models and systems, especially in environments where testing support is limited.
- Collaborative Problem Solving: Work closely with cross‑functional teams, including product, engineering, and business stakeholders, to understand requirements and deliver data‑driven solutions.
- Enthusiasm for collaborating across disciplines, including with academic researchers and third‑party partners.
What We’re Looking For
Required skills:
- Hands‑on experience building and deploying ML models in Python.
- SQL skills and familiarity with AWS for deployment and data workflows.
- Strong knowledge of statistical modeling, anomaly detection, clustering, and supervised/unsupervised learning.
- Hands‑on experience with agentic AI frameworks (e.g. Claude with MCP, LangChain); experience in either transaction enrichment workflows or AI‑assisted software development tooling is sufficient.
- Experience working with large‑scale tabular data.
- Proven success collaborating with product and engineering teams to ship ML‑based features and tools.
- Strong communication skills and business acumen to present complex technical ideas to non‑technical stakeholders.
- Curious, proactive, and comfortable working in ambiguity in a scaling startup environment.
Nice to Have:
- Demonstrated ability to design and validate features using transactional and behavioural data from financial services.
- Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred.
- Experience with model governance and monitoring in regulated environments.
- Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such as the AWS suite: Sagemaker.
Working with Yaspa
We are a fun, collaborative team based in London (though many of us work remotely for part of the week). Benefits of working with us include:
- A strong focus on culture - We’re a friendly bunch who work hard and support each other; if you’re excited by personal and professional growth, and being able to really make your mark, then this is the place for you!
- Flexible hours and hybrid working - We are in the office 2 to 3 days a week where we collaborate and learn from each other. This is matched by the balance of WFH to allow you to manage your days autonomously.
- Top tech - you’ll be given a MacBook to work from when you join!
- WFH set‑up allowance - Along with your new laptop, we will also provide you an allowance so you can get your perfect set up sorted.
- Quarterly socials - The Yaspa team is fun and curious, so we make sure we get together to go‑kart, throw darts, play board games and generally enjoy ourselves!
- Generous holiday allowance - As well as all the UK public bank holidays, you get 28 days of holiday to enjoy and take as you’d like.
- 3% pension contribution, which we hope to increase in 2026 as we hit various revenue milestones.
- 24/7 GP virtual GP access.
- Physio & Well‑being support through our healthcare partner Health Hero.
- Individual L&D budget to support career development.
- A number of enhanced policies outside of the statutory requirements.
Note: We cannot offer Visa sponsorship. We’re not working with external agencies at this current time.
Please note that as an equal opportunities employer, Yaspa is committed to the equal treatment of all current and prospective employees and does not condone discrimination on the basis of age, disability, sex, sexual orientation, pregnancy and maternity, race or ethnicity, religion or belief, gender identity, or marriage and civil partnership. We aspire to have a diverse and inclusive workplace and strongly encourage suitably qualified applicants from a wide range of backgrounds to apply and join Yaspa.
Data Scientist - CONTRACT employer: Yaspa
Contact Detail:
Yaspa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - CONTRACT
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Yaspa. A friendly chat can sometimes lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects related to machine learning or data science, make sure to share it. It’s a great way to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past projects and how they relate to the role at Yaspa. We love seeing how you think!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate candidates who want to make an impact.
We think you need these skills to ace Data Scientist - CONTRACT
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, machine learning, and any relevant projects that showcase your skills in feature engineering and model evaluation.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're excited about working at Yaspa and how your background fits with our mission. Be sure to mention your experience in open banking or iGaming if you have it!
Showcase Your Projects: Include links to any relevant projects or GitHub repositories in your application. We love seeing practical examples of your work, especially those involving ML models or data analysis.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role as quickly as possible!
How to prepare for a job interview at Yaspa
✨Know Your Machine Learning Stuff
Make sure you brush up on your machine learning concepts, especially those related to feature engineering and model evaluation. Be ready to discuss your hands-on experience with Python and any ML models you've built or deployed.
✨Understand the Business Context
Yaspa is all about connecting identity and payments, so it’s crucial to understand how data science fits into this picture. Familiarise yourself with open banking and how it impacts payment velocity and security. This will help you articulate how your skills can contribute to their goals.
✨Prepare for Technical Questions
Expect some technical questions around statistical modelling, anomaly detection, and clustering. Practise explaining complex ideas in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Show Your Collaborative Spirit
Yaspa values teamwork, so be prepared to share examples of how you've worked with cross-functional teams in the past. Highlight your enthusiasm for collaboration and problem-solving, especially in fast-paced environments.