Data Scientist
| Dyddiad hysbysebu: | 10 Mawrth 2026 |
|---|---|
| Cyflog: | £60,000 i £80,000 bob blwyddyn |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 09 Ebrill 2026 |
| Lleoliad: | London, UK |
| Gweithio o bell: | Ar y safle yn unig |
| Cwmni: | Careegrow LTD |
| Math o swydd: | Parhaol |
| Cyfeirnod swydd: |
Crynodeb
Job Summary
We are looking for a talented Data Scientist to analyze complex datasets and develop data-driven solutions that help organizations make better business decisions. The ideal candidate will use statistical analysis, machine learning, and data visualization techniques to uncover insights and build predictive models.
Key Responsibilities
Collect, clean, and analyze large datasets from multiple sources.
Develop and implement machine learning models and predictive algorithms.
Perform exploratory data analysis (EDA) to identify patterns and trends.
Build data visualizations, dashboards, and reports to communicate insights.
Collaborate with engineering, product, and business teams to solve data problems.
Evaluate and optimize model performance and accuracy.
Work with structured and unstructured data to generate actionable insights.
Stay updated with the latest data science tools, techniques, and industry trends.
Required Qualifications
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
2+ years of experience in data analysis or data science.
Strong programming skills in Python, R, or SQL.
Experience with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch.
Knowledge of data visualization tools such as Tableau, Power BI, or Matplotlib.
Strong analytical and problem-solving skills.
Preferred Qualifications
Experience with big data technologies such as Hadoop or Spark.
Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
Knowledge of deep learning, NLP, or AI applications.
Experience with data pipelines and ETL processes.
Key Skills
Data Analysis
Machine Learning
Statistical Modeling
Data Visualization
Programming (Python, R, SQL)
Problem Solving
Communication and Collaboration
Benefits
Competitive compensation package
Flexible working environment
Career development and training opportunities
Health and wellness benefits
Note: This hiring is being conducted on behalf of our client company. By applying, you agree that we may contact you regarding relevant job opportunities and career support services.
We are looking for a talented Data Scientist to analyze complex datasets and develop data-driven solutions that help organizations make better business decisions. The ideal candidate will use statistical analysis, machine learning, and data visualization techniques to uncover insights and build predictive models.
Key Responsibilities
Collect, clean, and analyze large datasets from multiple sources.
Develop and implement machine learning models and predictive algorithms.
Perform exploratory data analysis (EDA) to identify patterns and trends.
Build data visualizations, dashboards, and reports to communicate insights.
Collaborate with engineering, product, and business teams to solve data problems.
Evaluate and optimize model performance and accuracy.
Work with structured and unstructured data to generate actionable insights.
Stay updated with the latest data science tools, techniques, and industry trends.
Required Qualifications
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
2+ years of experience in data analysis or data science.
Strong programming skills in Python, R, or SQL.
Experience with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch.
Knowledge of data visualization tools such as Tableau, Power BI, or Matplotlib.
Strong analytical and problem-solving skills.
Preferred Qualifications
Experience with big data technologies such as Hadoop or Spark.
Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
Knowledge of deep learning, NLP, or AI applications.
Experience with data pipelines and ETL processes.
Key Skills
Data Analysis
Machine Learning
Statistical Modeling
Data Visualization
Programming (Python, R, SQL)
Problem Solving
Communication and Collaboration
Benefits
Competitive compensation package
Flexible working environment
Career development and training opportunities
Health and wellness benefits
Note: This hiring is being conducted on behalf of our client company. By applying, you agree that we may contact you regarding relevant job opportunities and career support services.