Job description
Description
About us Over the last 18 years, we have helped over a million satisfied customers move and manage their money. Our award-winning product portfolio allows our customers to make low-cost multi-currency payments across various payment products. From travel money to transfers, currency hedging, to expense management, we are focused on a single goal of making it easy for our customers to manage and move their money.
As a business, we are committed to delivering value to our customers through the combination of advanced payments technology and personal expert service. We’re doing this by hiring exceptional people and are now looking for a Data Scientist to join our team.
Within our offices in London, Chester and Los Angeles and Europe, Equals comprises of three business lines and brands - Equals Money, FairFX and CardOneMoney. You will join a very close-knit, talented and supportive team from various backgrounds who believe that bringing different perspectives together helps us understand our customers’ needs. United, by one thing, making money management straightforward and cost-effective for our customers.
About the role
A Data Scientist at Equals Group can transform raw data into actionable insights using a variety of data science and advanced analytics techniques. These include statistical analysis, optimisation and machine learning. They are skilled at uncovering patterns, trends, and opportunities within data and delivering tailored, data-driven solutions to our internal stakeholders.
They are proficient in programming languages like SQL and Python, data visualisation tools, and expertise in AWS (or similar cloud technologies). They are business-focused and intellectually curious, with a knack for choosing the right technique for each problem.
A successful Data Scientist excels at working both collaboratively within cross-functional teams and autonomously, taking initiative to define problems, develop solutions, and deliver results with minimal supervision. Strong critical thinking, problem-solving, and a proactive approach ensure they can independently drive projects from inception to implementation.
About you
We believe that certain skills are essential in order to be successful in this role and these are detailed below. You may not have all the other skills we have outlined as desirable, we understand that and will still welcome your application. We will carry out individual interviews for shortlisted candidates and assess who is best suited for the role after we have discussed everything with you.
Responsibilities
Spearhead the use of Advanced Analytics, Machine Learning and AI in the Data team at Equals
Collaborate with our Product and Engineering teams to deliver Group strategic AI projects
Work with our Data Analysts on a variety of projects, and proactively identify opportunities to leverage Data Science and Machine Learning techniques
Accountabilities
Help to shape the roadmap of Data Science, Machine Learning and AI at Equals
Build relationships with other teams at Equals and promote the value of Data Science
Work with the team to define the Machine Learning lifecycle for internally developed models, including documentation standards and Governance requirements
Identify use-cases for Advanced Analytics and Machine Learning techniques to bring data to life for our internal and external stakeholders
Essential Skills
Deep understanding of statistical modelling, experimental design, and inference
Advanced proficiency in Python (NumPy, pandas, scikit-learn, PyTorch/TensorFlow)
Proven experience developing, deploying, and optimising machine learning models at scale
Strong command of AWS (SageMaker, Lambda, Bedrock) and Snowflake ML for end-to-end ML workflows
Expert-level SQL and data manipulation across large, complex datasets
Proficient in data engineering fundamentals - building pipelines, working with APIs, and integrating multiple data sources
Skilled in data visualisation and communicating model outputs to stakeholders
Comfortable with MLOps practices, including containerisation, CI/CD and monitoring
Solid understanding of Git, code review, and production-quality development
Collaborative mindset with clear, pragmatic communication across teams
Desirable Skills
Experience with agentic AI frameworks such as LangChain or LlamaIndex
Exposure to causal inference, uplift modelling, and advanced experimentation methods
Working knowledge of data governance, privacy, and model ethics (e.g. GDPR compliance)
Industry experience in fintech or another highly regulated domain
Our investment in you
We welcome people into Equals and desire to grow and develop our talented teams. We believe in teamwork and celebrating our successes. We strive to embrace our values. We want to put you in the driving seat of your career and achieve your full potential through growth opportunities and developmental support.
When you join Equals, we aim to help you to get more out of your career. We will also offer you the following benefits;
Benefits
A competitive salary benchmarked against a peer group.
25 days holiday per year + your birthday off
Opportunities for progression, development and learning new skills - £250 towards the cost of learning & development.
Free onsite Nuffield Health gym & pool (London) and discounted gym membership elsewhere
GetActive with Aviva - Health and Wellbeing discounts on services and products
Interbank currency rates on travel money and international transfers.
Bupa Private Healthcare
Free Eye Test and £50 up to the cost of glasses
EAP Service - Mental Health Services
Life Assurance Policy - x3 annual salary
Contributory pension scheme
Cycle to Work Scheme
Season Ticket Loans
Enhanced Parental Policies
Complimentary tea, coffee, soft drinks and fruit
We operate a hybrid working arrangement where possible
Where possible we offer the opportunity to work flexibly and the opportunity to balance some remote working with time in the office collaborating, taking part in events and developing the social connections that make working with us rewarding.
Equals strives to create a workplace where we can all be ourselves. We believe in inclusion, equality and the power of diversity, so you’ll be encouraged to bring your unique perspectives and experiences, and help us understand what you need to do your best work.
