REF69967Q 2025151745 - Deputy Manager - Operations - 4 to 6 years - Data science - Pune

Pune, MH, India

WNS Global Services

WNS is a digital-led business transformation services company that combines deep industry knowledge in technology, analytics and business process expertise to deliver transformational solutions for clients

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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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Leadership Jobs

Tags: Banking Computer Science Data analysis Data quality Data visualization Finance Machine Learning Matplotlib ML models NumPy Pandas Plotly Power BI Python PyTorch Research Scikit-learn Seaborn SQL Statistics TensorFlow

Region: Asia/Pacific
Country: India

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