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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…
    • At Tesco, our Data Science team focuses on modelling complex business problems and deploying data products at scale.
    • Creating dashboards/data visualisations to aid analysis and data driven decision making.
    • Flexible working, Full-time, Job share, Part-time.
    • Experience applying machine learning techniques to market data.
    • We welcome diverse working styles and aim to find flexible solutions that suit both the role and…
    • You also will set the technical direction for the data science team, mentor, and develop them so our data scientists remain best in class.
    • At Tesco, our Data Science team focuses on modelling complex business problems and deploying data products at scale.
    • Proven experience with both static and time series modelling.
    • In this hands-on role, you’ll work on both static and time series data (including propensity…
    • Flexible hybrid working with flexi-time and the option to work part-time or condensed hours.
    • Detailed understanding and practical experience of using different…
    • Flexible working, Full-time, Job share, Part-time.
    • Build data products using streaming systems.
    • For example, you could have a background in data or software…
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    • Mentoring a small number of data scientists and supporting the professional growth of technical team members on projects.
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    • Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges.
    • Working with clients, and cross-functional teams,…
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    • You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time-series, NLP, model validation) and the ability to innovate new…
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    • You bring depth of expertise in at least one machine learning domain and strong technical breadth across the entire data science landscape.
    • You’re a hands‑on data scientist who enjoys solving real problems with data, and you communicate your thinking with clarity and confidence.
    • 26 days annual leave (pro-rata for part-time working) plus bank holidays (most of which can be taken flexibly!) with options to buy & sell holiday.

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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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