Data Scientist

Vivo Talent Solutions; United Kingdom; Remote; GBP 50,000 - 80,000; Full time

Job summary

An established industry player is seeking a talented Data Scientist for a contract role focused on building innovative transaction categorisation systems. This position offers the chance to work at the forefront of open banking, utilizing machine learning and natural language processing to transform raw bank data into structured formats. You'll be responsible for designing and training models that ensure data accuracy and compliance in regulated environments. If you're passionate about leveraging data to drive financial insights and thrive in a dynamic setting, this opportunity is perfect for you.

Qualifications

• Experience in machine learning and data science, ideally in fintech.
• Hands-on experience with Python and SQL for data transformation.

Responsibilities

• Design and implement ML/NLP models for bank transaction data.
• Standardise outputs from multiple open banking data providers.

Skills

Machine Learning

Natural Language Processing

Python

SQL

Data Science

Open Banking

Model Training

Tools

scikit-learn

pandas

spaCy

Job description

Data Scientist – Contract / Outside IR35 / Remote / Open Banking / Categorisation / Finance

Overview

An early-stage lending company is seeking an experienced Data Scientist for a contract position focused on building a transaction categorisation system.

This is an opportunity to work at the intersection of open banking, NLP, and credit risk modelling, helping to standardise data ingestion from multiple banking data providers.

You’ll be involved in designing and training models to interpret and categorise bank transactions - transforming raw data into a unified, structured format.

Key Responsibilities

• Design and implement ML/NLP-based models to categorise raw bank transaction data.
• Standardise outputs across multiple open banking data providers into a consistent schema.
• Evaluate discrepancies in categorisation logic from existing providers and design model features to mitigate them.
• Iterate and improve models based on performance, accuracy, and real-world cases.
• Ensure models are explainable and auditable, suitable for regulated environments.

Skills & Experience

• Experience in machine learning, natural language processing, or data science, ideally in fintech, banking, or financial services.
• Solid understanding of open banking, bank transaction data, or personal finance categorisation.
• Hands-on experience with Python (and relevant libraries such as scikit-learn, pandas, spaCy, or similar) and SQL.
• Experience working with raw, messy transactional data and transforming it into structured outputs.
• Strong background in model training, and validation.
• Familiarity with version control, pipelines, and productionising ML models is a plus.
• Previous experience supporting or integrating with credit risk or affordability frameworks is highly desirable.

Location: UK, Remote

Engagement: Contract

Day Rate: Open to discussion based on experience

Start Date: ASAP

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Banking

Referrals increase your chances of interviewing at Vivo Talent Solutions by 2x

Get notified about new Data Scientist jobs in United Kingdom.

London, England, United Kingdom 4 days ago

London, England, United Kingdom 1 week ago

Bristol, England, United Kingdom 1 week ago

Birmingham, England, United Kingdom 1 week ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 3 weeks ago

Senior Data Scientist - Growth & Retention

London, England, United Kingdom 8 months ago

Machine Learning Engineer | £65k–£70k | Remote (UK)

London, England, United Kingdom 1 week ago

London, England, United Kingdom 4 months ago

Greater London, England, United Kingdom 12 hours ago

London, England, United Kingdom 6 days ago

Manchester Area, United Kingdom 10 hours ago

Manchester Area, United Kingdom 9 hours ago

Midlothian, Scotland, United Kingdom 2 weeks ago

Bradford, England, United Kingdom 8 hours ago

Birmingham, England, United Kingdom 11 hours ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 4 weeks ago

Newcastle Upon Tyne, England, United Kingdom 8 hours ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.