Data Scientist Devi Technologies

Devitechs; Birmingham; On-site; GBP 35,000 - 55,000; Full time

Job summary

A data analytics company is looking for a Data Scientist based in Birmingham. This role involves applying statistical analysis, machine learning, and data modeling to solve business problems and improve operational efficiency. The ideal candidate will have strong skills in Python, SQL, and various data visualization tools, and will present actionable insights to team members and stakeholders. Join an innovative team to contribute to exciting data science initiatives and research.

Qualifications

• Experience with statistical analysis and data modeling.
• Familiarity with ML algorithms and predictive modeling.
• Ability to present complex findings to non-technical stakeholders.

Responsibilities

• Identify business problems and design data-driven solutions.
• Build predictive and prescriptive models using ML algorithms.
• Design dashboards and visualizations using Power BI or Tableau.

Skills

Machine Learning

Data Analysis

Python

SQL

Data Visualization

Tools

Power BI

Tableau

R

Job description

A Data Scientist applies statistical analysis, machine learning, and data modeling techniques to uncover actionable insights.

Key Responsibilities:
️ Identify business problems and design data-driven solutions
️ Collect, process, and clean large datasets for modeling
️ Build predictive and prescriptive models using ML algorithms
️ Analyze data trends and patterns to influence strategy
️ Use Python, R, and SQL for data analysis and manipulation
️ Design dashboards and visualizations using Power BI or Tableau
️ Collaborate with cross-functional teams to integrate findings
️ Ensure data integrity and governance throughout the process
️ Develop NLP and computer vision models for advanced analytics
️ Evaluate model accuracy and update based on performance
️ Present insights to stakeholders in non-technical language
️ Implement solutions that improve operational efficiency
️ Apply AI ethics and bias reduction practices
️ Document methodologies, models, and outcomes
️ Contribute to research papers and internal data science initiatives