data scientist internship
We are looking for a talented Data Scientist who is passionate about turning data into actionable insights and predictions. This hybrid role requires expertise in data visualisation using Power BI and the ability to apply predictive modelling techniques to solve real-world business challenges. You will collaborate closely with cross-functional teams to drive data-driven decision-making and strategic growth.
Job Responsibilities
- Analyse and visualise data using Power BI to deliver actionable insights through dynamic dashboards and reports.
- Design, develop, and implement predictive models to forecast trends and outcomes using statistical and machine learning techniques.
- Collaborate with stakeholders to understand business objectives and translate them into data-driven solutions.
- Perform exploratory data analysis (EDA) to uncover hidden trends, patterns, and opportunities.
- Validate and optimise predictive models for accuracy, robustness, and scalability.
- Present findings, insights, and recommendations clearly to technical and non-technical audiences.
- Stay updated on the latest tools, trends, and methodologies in analytics and data science.
Technical Qualities
- Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Strong expertise in Power BI for building interactive dashboards and reports.
- Proven experience in predictive modelling, including regression, classification, and clustering.
- Proficiency in Python, R, or similar programming languages for data analysis and modelling.
- Familiarity with machine learning frameworks.
- Strong SQL skills for querying and managing large datasets.
- Experience with cloud platforms (e.g., Azure, AWS, GCP)
- Understanding of statistical analysis, data wrangling, and feature engineering.
Person Qualities
- Strong critical thinking and ability to solve complex problems.
- Excellent communication skills to convey technical concepts to non-technical stakeholders.
- Collaborative mindset with the ability to work effectively in cross-functional teams.
- Proactive attitude towards learning and adopting new technologies.
- Detail-oriented with a strong focus on accuracy and data integrity.
How to apply
If your career aspirations match this opportunity, please click here to apply before 6:00pm (GMT) Thursday, 27th February 2025.
