Role overview
Job Title: Data Scientist
Location: Remote (United Kingdom)
Job Type: Full-Time, Permanent
Experience Level: 0–8 Years
About the Role
We are seeking a passionate and analytical Data Scientist to join our growing data team. This is a fully remote opportunity within the United Kingdom, offering the chance to work on impactful data-driven projects that support business decision-making and product innovation. The ideal candidate will work closely with cross-functional teams to analyze data, build predictive models, and deploy scalable data solutions.
What you'll work on
- Collect, clean, and analyze large structured and unstructured datasets.
- Develop and implement machine learning models and statistical analyses to solve business problems.
- Design, build, and maintain scalable data pipelines and workflows.
- Collaborate with product, engineering, and business teams to translate data insights into actionable strategies.
- Build data visualizations and dashboards to communicate findings effectively.
- Deploy models into production environments and monitor performance.
- Conduct exploratory data analysis (EDA) to identify trends, anomalies, and opportunities.
- Document methodologies, processes, and results for knowledge sharing and reproducibility.
What we're looking for
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
- Strong programming skills in Python or R.
- Experience with data analysis libraries such as Pandas, NumPy, Scikit-learn, or similar.
- Familiarity with SQL and relational databases.
- Understanding of machine learning algorithms, statistical modeling, and data preprocessing techniques.
- Experience with data visualization tools such as Power BI, Tableau, or Matplotlib/Seaborn.
- Knowledge of cloud platforms (AWS, Azure, or GCP) is a plus.
- Good problem-solving and analytical thinking skills.
- Strong communication and collaboration abilities.
Job Types: Full-time, Permanent
Pay: £30,000.00-£87,570.18 per year
Work Location: In person
Tags & focus areas
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