Data Scientist

Data ScientistJob Overview

We are looking for a skilled and analytical Data Scientist to transform complex data into actionable business insights. The ideal candidate will have strong experience in Python, SQL, statistics, machine learning, and data visualization, along with the ability to communicate technical findings to business stakeholders.

Key Responsibilities

• Collect, clean, transform, and analyze large and complex datasets.
• Develop statistical models and machine learning algorithms to solve business problems.
• Build, test, and optimize predictive models.
• Use Python and libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn for data analysis and modeling.
• Write complex SQL queries to extract and manipulate data from databases.
• Perform exploratory data analysis (EDA) and identify trends, patterns, and anomalies.
• Develop and evaluate machine learning models using appropriate metrics.
• Create dashboards and visualizations using tools such as Power BI, Tableau, or Python.
• Collaborate with business, product, engineering, and technology teams.
• Communicate analytical findings and recommendations to technical and non-technical stakeholders.
• Monitor model performance and improve models as business requirements evolve.
• Maintain documentation of datasets, analytical methodologies, models, and results.

Required Skills

• Strong knowledge of Python
• Strong SQL skills
• Knowledge of Statistics and Probability
• Experience with Machine Learning
• Experience with Pandas, NumPy, Scikit-learn
• Data visualization using Power BI, Tableau, Matplotlib, or Seaborn
• Experience with data cleaning and exploratory data analysis
• Understanding of regression, classification, clustering, and model evaluation
• Strong analytical and problem-solving skills
• Good written and verbal communication

Preferred Skills

• Experience with AWS, Azure, or Google Cloud
• Knowledge of Spark/PySpark
• Experience with NLP or deep learning
• Knowledge of Git and version control
• Experience working with large datasets and data pipelines
• Familiarity with Docker and ML deployment/MLOps

Education

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.

Experience

• 0-3 years of experience in data science, machine learning, analytics, or a related field.
• Fresh graduates with strong Python, SQL, statistics, and machine-learning projects may also be considered for junior positions.

Core Technology Stack

Python | SQL | Pandas | NumPy | Scikit-learn | Statistics | Machine Learning | Power BI/Tableau | Git | Cloud

Pay: £35,000.00-£90,000.00 per year

Benefits:

• Free parking
• On-site parking
• Sick pay
• UK visa sponsorship

Work Location: In person