Graduate Data Scientist
Posted on Jun 30, 2026 by CV-Library
Farnborough, Hampshire, United Kingdom
Engineering
Immediate Start
£30k - £32k Annual
Full-Time
Location: Farnborough (full time in office)
No Visa sponsorship available
Loking for a September 2026 start date.
About the Company
Our client is seeking a driven, analytically minded graduate ready to launch your career in data science. This role is ideal for a high-calibre graduate Data Scientist looking to start a commercial data science career in a supportive and hands-on environment.
Key Responsibilities:
* Analyse datasets to identify patterns, trends, and actionable insights.
* Support the development and evaluation of machine-learning models.
* Assist with data cleaning, preparation, and feature engineering.
* Conduct statistical analysis to support business decisions.
* Build reports, dashboards, and visualisations for internal stakeholders.
* Collaborate with technical and non-technical teams to translate data into impact.
* Stay up to date with best practices in data science and analytics.
Skills & Qualifications:
* Degree educated with a 2:1 or above ideally from a Redbrick university (e.g., Russell Group or equivalent)
* Strong programming skills in Python and R.
* Solid understanding of statistical analysis and quantitative methods.
* Foundational knowledge of machine learning techniques (classification, regression, clustering, etc.).
* Strong analytical mindset and attention to detail.
* Ability to present findings clearly to technical and non-technical audiences.
Must have right to work in the UK (no visa sponsorship offered)
No Visa sponsorship available
Loking for a September 2026 start date.
About the Company
Our client is seeking a driven, analytically minded graduate ready to launch your career in data science. This role is ideal for a high-calibre graduate Data Scientist looking to start a commercial data science career in a supportive and hands-on environment.
Key Responsibilities:
* Analyse datasets to identify patterns, trends, and actionable insights.
* Support the development and evaluation of machine-learning models.
* Assist with data cleaning, preparation, and feature engineering.
* Conduct statistical analysis to support business decisions.
* Build reports, dashboards, and visualisations for internal stakeholders.
* Collaborate with technical and non-technical teams to translate data into impact.
* Stay up to date with best practices in data science and analytics.
Skills & Qualifications:
* Degree educated with a 2:1 or above ideally from a Redbrick university (e.g., Russell Group or equivalent)
* Strong programming skills in Python and R.
* Solid understanding of statistical analysis and quantitative methods.
* Foundational knowledge of machine learning techniques (classification, regression, clustering, etc.).
* Strong analytical mindset and attention to detail.
* Ability to present findings clearly to technical and non-technical audiences.
Must have right to work in the UK (no visa sponsorship offered)
Reference: 225306977
https://jobs.careeraddict.com/post/113480310
Graduate Data Scientist
Posted on Jun 30, 2026 by CV-Library
Farnborough, Hampshire, United Kingdom
Engineering
Immediate Start
£30k - £32k Annual
Full-Time
Location: Farnborough (full time in office)
No Visa sponsorship available
Loking for a September 2026 start date.
About the Company
Our client is seeking a driven, analytically minded graduate ready to launch your career in data science. This role is ideal for a high-calibre graduate Data Scientist looking to start a commercial data science career in a supportive and hands-on environment.
Key Responsibilities:
* Analyse datasets to identify patterns, trends, and actionable insights.
* Support the development and evaluation of machine-learning models.
* Assist with data cleaning, preparation, and feature engineering.
* Conduct statistical analysis to support business decisions.
* Build reports, dashboards, and visualisations for internal stakeholders.
* Collaborate with technical and non-technical teams to translate data into impact.
* Stay up to date with best practices in data science and analytics.
Skills & Qualifications:
* Degree educated with a 2:1 or above ideally from a Redbrick university (e.g., Russell Group or equivalent)
* Strong programming skills in Python and R.
* Solid understanding of statistical analysis and quantitative methods.
* Foundational knowledge of machine learning techniques (classification, regression, clustering, etc.).
* Strong analytical mindset and attention to detail.
* Ability to present findings clearly to technical and non-technical audiences.
Must have right to work in the UK (no visa sponsorship offered)
No Visa sponsorship available
Loking for a September 2026 start date.
About the Company
Our client is seeking a driven, analytically minded graduate ready to launch your career in data science. This role is ideal for a high-calibre graduate Data Scientist looking to start a commercial data science career in a supportive and hands-on environment.
Key Responsibilities:
* Analyse datasets to identify patterns, trends, and actionable insights.
* Support the development and evaluation of machine-learning models.
* Assist with data cleaning, preparation, and feature engineering.
* Conduct statistical analysis to support business decisions.
* Build reports, dashboards, and visualisations for internal stakeholders.
* Collaborate with technical and non-technical teams to translate data into impact.
* Stay up to date with best practices in data science and analytics.
Skills & Qualifications:
* Degree educated with a 2:1 or above ideally from a Redbrick university (e.g., Russell Group or equivalent)
* Strong programming skills in Python and R.
* Solid understanding of statistical analysis and quantitative methods.
* Foundational knowledge of machine learning techniques (classification, regression, clustering, etc.).
* Strong analytical mindset and attention to detail.
* Ability to present findings clearly to technical and non-technical audiences.
Must have right to work in the UK (no visa sponsorship offered)
Reference: 225306977
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