Deputy Manager - Data Science + Python

Role Overview: As a Data Analyst at WNS Holdings Limited, your main responsibility will be to analyze large datasets, develop and implement predictive models, and create visualizations to extract meaningful insights and trends. You will work closely with data engineers, software developers, and business stakeholders to deliver solutions and generate automated reports and dashboards for actionable insights. Key Responsibilities: - Analyze large datasets to extract meaningful insights and trends - Develop and implement predictive models and machine learning algorithms - Ensure data quality by cleaning and pre-processing data - Create visualizations using tools like Power BI or Python libraries - Collaborate with data engineers, software developers, and business stakeholders - Generate automated reports and dashboards - Stay updated with the latest trends and technologies in data science and machine learning Qualifications Required: - Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field - 3 years of experience in data science or a related field - Strong proficiency in Python and SQL - Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch - Skills in data visualization tools like Power BI, Matplotlib, Seaborn, or Plotly - Strong understanding of statistical methods and techniques - Expertise in data wrangling and pre-processing using libraries like Pandas and NumPy - Relevant certifications in data science or machine learning are a plus (Note: Company description details have been omitted as per the instructions) Role Overview: As a Data Analyst at WNS Holdings Limited, your main responsibility will be to analyze large datasets, develop and implement predictive models, and create visualizations to extract meaningful insights and trends. You will work closely with data engineers, software developers, and business stakeholders to deliver solutions and generate automated reports and dashboards for actionable insights. Key Responsibilities: - Analyze large datasets to extract meaningful insights and trends - Develop and implement predictive models and machine learning algorithms - Ensure data quality by cleaning and pre-processing data - Create visualizations using tools like Power BI or Python libraries - Collaborate with data engineers, software developers, and business stakeholders - Generate automated reports and dashboards - Stay updated with the latest trends and technologies in data science and machine learning Qualifications Required: - Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field - 3 years of experience in data science or a related field - Strong proficiency in Python and SQL - Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch - Skills in data visualization tools like Power BI, Matplotlib, Seaborn, or Plotly - Strong understanding of statistical methods and techniques - Expertise in data wrangling and pre-processing using libraries like Pandas and NumPy - Relevant certifications in data science or machine learning are a plus (Note: Company description details have been omitted as per the instructions)