REF69967Q_2025151745 - Deputy Manager - Operations - 4 to 6 years - Data...
Company Description
WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries.We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client.
We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees.
Job Description
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.
Qualifications
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.