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Data Scientist

equalsplc.com Logo

Equals Group PLC

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Location:
United Kingdom, Remote

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

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.

Job Responsibility:

  • 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

Nice to have:

  • 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
What we offer:
  • 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

Additional Information:

Job Posted:
December 08, 2025

Employment Type:
Fulltime
Work Type:
Remote work
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