Deputy Manager - Data Science + Python

As a Data Scientist at WNS (Holdings) Limited, you will play a crucial role in analyzing large datasets, developing predictive models, and creating visualizations to drive actionable insights. Your responsibilities will include: - 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. To excel in this role, you should have the following technical skills: - 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. Qualifications required for this position include: - 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.,