Data Scientist

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

As the senior data scientist, your role involves spearheading the development and execution of data-driven solutions for clients.

Collaborating closely with clients, you will adeptly grasp their business needs, translating them into an AI/ML framework.

Your expertise will be pivotal in designing models and selecting suitable techniques to address the client's specific challenges.

Responsible for the entire data science project lifecycle, your duties extend from comprehensive data collection to meticulous model development, deployment, maintenance, and optimization.

Your focus will particularly centre on crafting machine learning and deep learning models customized for retail and customer analytics, incorporating champion-challenger models to enhance performance.

Effective communication with senior stakeholders is imperative in this role, and your proficiency in Python coding will be crucial for seamless end-to-end model development.

As the lead data scientist, you will play a key role in driving innovative solutions that align with client objectives and industry best practices.

You should possess good communication and project management skills and can communicate effectively with a wide range of audiences, both technical and business.

You would be responsible for creating Presentations, reports etc to present the analysis findings to the end clients/stakeholders.

Should possess the ability to confidently socialize business recommendations and enable customer organization to implement such recommendations.

You must familiar and implement with a range of models including regression, classification, clustering, decision tree, random forest, support vector machine, naïve Bayes, GBM, XGBoost, multiple linear regression, logistic regression, and ARIMA/ARIMAX.

You should be competent in Python (Pandas, NumPy, scikit-learn etc.), possess high levels of analytical skills and have experience in the creation and/or evaluation of predictive models

Qualifications:Python for Data Science (mandatory),

Good proficiency in end to end coding which includes deployment experience.

Experience processing large data. Min. 3 years exp in Retail domain

Preferred skills include proficiency in SQL, Spark, Excel, Azure, AWS, GCP, Power BI, and Flask.

Preferred experience in areas such as time series analysis, market mix modelling, attribution modelling, churn modelling, market basket analysis, etc.Possess a strong understanding of mathematics with logical thinking abilities.Excellent communication skills are a must.

BTech/Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1-2 institutions Or BE/B-Tech, MCA or MBARelevant Experience:8+ years of hands on experience in delivering Data Science/Analytics projects.