Data Scientist
🔒 Confidential Employer
Posted 13 August 2025
LOCATION
Remote
TYPE
Full-time
LEVEL
Mid-Senior level
CATEGORY
Technology
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion
SKILLS
Python
Machine Learning
SQL
Data Visualization
Statistical Methods
Data Analysis
FULL DESCRIPTION
Summary
[Employer hidden — view at passion-project.co.uk] is looking for a Data Scientist to collect, process, and analyze large datasets to identify trends and patterns. The role involves developing and deploying predictive models, collaborating with cross-functional teams, and communicating findings to stakeholders.
Key Responsibilities
- Collecting, processing, and analyzing large datasets to identify trends and patterns
- Developing and deploying predictive models using machine learning and statistical techniques
- Collaborating with cross-functional teams to define business objectives and data-driven solutions
- Communicating findings through data visualization and storytelling to non-technical stakeholders
- Ensuring the quality and integrity of data used for analysis and modeling
- Continuously exploring new data sources and techniques to improve the accuracy of insights
Core Requirements
- Proven experience as a Data Scientist or in a similar data analysis role
- Strong knowledge of statistical methods and machine learning algorithms (e.g., regression, clustering, classification)
- Proficiency in programming languages such as Python, R, or SQL
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)
- Familiarity with big data tools and platforms (e.g., Hadoop, Spark)
- Strong problem-solving and critical thinking skills
- A degree in Data Science, Statistics, Computer Science, or a related field
- Relevant certifications in data science or machine learning are a plus
🔧 What You’ll Be Working On:
- Collecting, processing, and analyzing large datasets to identify trends and patterns
- Developing and deploying predictive models using machine learning and statistical techniques
- Collaborating with cross-functional teams to define business objectives and data-driven solutions
- Communicating findings through data visualization and storytelling to non-technical stakeholders
- Ensuring the quality and integrity of data used for analysis and modeling
- Continuously exploring new data sources and techniques to improve the accuracy of insights
🎯 What We’re Looking For:
- Proven experience as a Data Scientist or in a similar data analysis role
- Strong knowledge of statistical methods and machine learning algorithms (e.g., regression, clustering, classification)
- Proficiency in programming languages such as Python, R, or SQL
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)
- Familiarity with big data tools and platforms (e.g., Hadoop, Spark)
- Strong problem-solving and critical thinking skills
- A degree in Data Science, Statistics, Computer Science, or a related field
- Relevant certifications in data science or machine learning are a plus
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