Roles & Responsibilities:Data Analysis: Analyse large datasets to extract meaningful insights and trends.Model Development: Develop and implement predictive models and machine learning algorithms to solve business problems.Data Cleaning: Ensure data quality by cleaning and pre-processing data.Visualization: Create visualizations to present data insights using tools like Power BI or Python libraries (e.g., Matplotlib, Seaborn).Collaboration: Work closely with data engineers, software developers, and business stakeholders to understand requirements and deliver solutions.Reporting: Generate automated reports and dashboards to provide actionable insights.Research: Stay updated with the latest trends and technologies in data science and machine learning.Technical Skills Required:Programming Languages: Proficiency in Python and SQL.Machine Learning: Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.Data Visualization: Skills in data visualization tools like Power BI, Matplotlib, Seaborn, or Plotly.Statistical Analysis: Strong understanding of statistical methods and techniques.Data Wrangling: Expertise in data wrangling and pre-processing using libraries like Pandas and NumPy.Platforms like Power BI, Power Automate, Apps are good to have.
Experience or Prerequisites:Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.Experience: 3+ years of experience in data science or a related field.Projects: Proven track record of working on data science projects and delivering impactful results.Certifications: Relevant certifications in data science or machine learning are a plus.