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Data Scientist jobs in Richmond upon Thames

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    • Running data QA checks and validating datasets.
    • Experience working with customer data and large datasets.
    • This is a great opportunity for someone who enjoys…
    • Serve as a reliable collaborator throughout the organization, promoting data-informed decision-making and enabling business units to embrace data products.
    • Partner with data scientists, analysts, product owners and business stakeholders to deliver practical data solutions.
    • This is a full time, permanent position.
    • A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation.
    • Project experience across areas such as data catalogues, lineage, metadata, data quality or master data.
    • Hands-on experience delivering data management, data…
    • Proven track record in integration patterns, data flow models, enterprise data models and cloud-native data architectures.
    • R&D data architecture City Plan.
    • Experience managing and executing data science and AI projects, from.
    • Group to understand their key challenges, define GenAI products, win buy-in for your.
    • Passion for building things and comfort working with modern data science development tools.
    • Ability to explain sophisticated data science concepts to non-…
    • Several years of experience as a data engineer, data oriented mindset.
    • Support the delivery of trust-worthy data pipelines that serve both transactional and…
    • Work together with data scientists to understand analytical needs and curate high-quality data sets.
    • Create and manage hybrid cloud data environments and…
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Job Post Details

Data Scientist - job post

Computer Futures
3.8 out of 5 stars
Bracknell
£112,700 a year - Part-time
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Job details

Pay

  • £112,700 a year

Job type

  • Part-time

Location

Bracknell

Full job description

Hiring: Data Scientist (Credit Risk) | £490/day | Remote (UK) I'm currently working with a client looking for a hands-on Data Scientist to join their team on a credit risk & customer analytics project. This is a great opportunity for someone who enjoys practical, business-facing data science - working with real data, improving models, and influencing decision-making. What you'll be doing
  • Building and improving predictive models (starting with logistic regression, progressing to more advanced methods)
  • Working with large customer datasets to support credit risk and onboarding decisions
  • Running data QA checks and validating datasets
  • Analysing model performance and turning outputs into clear business insights
  • Supporting initiatives across fraud, identity risk, and investigations
️ Tech / Tools
  • Python (increasingly), R
  • Azure / Databricks
  • Large-scale data environments
✅ Ideal background
  • Experience in Data Science / Machine Learning roles
  • Strong understanding of statistical modelling & predictive analytics
  • Experience working with customer data and large datasets
  • Confident communicating insights to non-technical stakeholders
  • (Desirable) experience in credit risk, fraud, or financial services
Details
  • £490/day (Inside IR35)
  • Primarily remote (occasional Cardiff visits ~1x/month)
  • Fast interview process - looking to move quickly
  • 12 month contract
Please click here to find out more about our Key Information Documents. Please note that the documents provided contain generic information. If we are successful in finding you an assignment, you will receive a Key Information Document which will be specific to the vendor set-up you have chosen and your placement. To find out more about Computer Futures please visit www.computerfutures.com Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC387148 England and Wales
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