Data Scientist

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November 12

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Equals Money

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Fintech • Finance • B2B

Equals Money is a platform that streamlines spend management and international payments for businesses. It offers a variety of financial tools, including multi-currency accounts, expense management software, prepaid and virtual cards, and business debit cards. Equals Money is designed to help businesses manage their finances more efficiently, enabling them to make payments in 140 currencies and providing detailed real-time control over expenses. With support for international payments and a dedicated customer service team, Equals Money aims to simplify the movement of money for over 30,000 companies worldwide.

201 - 500 employees

Founded 2017

💳 Fintech

💸 Finance

🤝 B2B

📋 Description

• 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 • 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

🎯 Requirements

• 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

🏖️ 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