Job Summary
The Data Scientist will be responsible for turning complex datasets into actionable insights that drive strategic business decisions. This role involves applying statistical analysis, machine learning techniques, and data modeling to solve business problems, optimize processes, and support product and strategy teams with data driven recommendations.
Key Responsibilities
- Collect, clean, and preprocess structured and unstructured data.
- Build, test, and deploy machine learning models (supervised, unsupervised, NLP, time series, etc.).
- Develop predictive and prescriptive analytics solutions.
- Work closely with cross functional teams (Product, Engineering, Marketing, Finance, Operations) to identify analytical opportunities and Translate business problems into analytical frameworks and data solutions.
- Present insights, dashboards, and recommendations to technical and non technical stakeholders.
- Collaborate with data engineering teams to build and optimize data pipelines.
- Ensure data quality, reliability, and scalability across systems and platforms and Automate data workflows where needed.
- Develop visualizations using tools like Power BI, Tableau, or custom dashboards and Communicate insights effectively using storytelling techniques.
- Deploy ML models into production environments, monitor model performance and retrain/improve models as required.
- Maintain documentation of methodologies, experiments, and results.
Required Qualifications
- Bachelor's or master's degree in data science, Computer Science, Statistics, Mathematics, Engineering, or related fields.
- 7 -9 years of experience in data science, analytics, or machine learning roles.
- Strong programming skills in Python.
- Experience with ML libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost.
- Strong SQL skills and understanding of relational databases.
- Hands-on experience with cloud platforms (Azure, AWS, GCP).
- Proficiency in data visualization tools (Power BI, Tableau, matplotlib, seaborn, etc.).
Leadership Perspectives
Ravi Mehrotra, CEO
As we reflect on Evalueserve's journey from a pioneering knowledge process outsourcing firm in 2000 to a global leader in AI-powered analytics and decision support in 2025, I am filled with immense pride and gratitude. Our growth has been driven by a relentless focus on innovation, a deep commitment to client success, and the incredible talent of our global teams.
Swapnil Srivastava, Executive Vice President for Data Analytics
Over the past decade, Evalueserve has evolved into a powerhouse of data-driven innovation. As we enter 2025, our Analytics practice stands as a cornerstone of this transformation delivering scalable, AI-enhanced solutions across industries.
Why Join Evalueserve
Evalueserve is a global leader in managed services that empower smarter decision-making and streamline critical workflows for more than 30% of the Fortune 500 companies across 45 countries. With over 4,500 professionals worldwide, our solutions are grounded in deep domain expertise and enhanced by cutting-edge AI and automation to boost productivity and scale client impact. Over the last 25 years, we have helped clients transform how they work and today we are pushing the frontier further with generative and agentic AI.
We foster a merit-based and innovation-driven culture that encourages creativity, continuous learning, and professional growth. Our hybrid working model provides international exposure and flexibility. Evalueserve has been recognized as a Great Place to Work® across four continents and ranks among the top 5% of global companies for diversity—alongside numerous awards across its solution lines.
Recent Awards and Recognitions
- AIM Research 2025: Top 10 of the 20 Best Firms for Women in Tech
- Forrester Wave 2024: Leader in Market & Competitive Intelligence Platforms
- Chartis Research 2024: Category Leader in Credit Portfolio Management
- Credit Strategy Lending Awards 2024: Winner, Best Technology Partner
- Banking Tech Awards 2024: Highly Commended, Best LendTech
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- Discover how our leaders are driving innovation through AI-powered supply chain optimization solution built on Google Cloud.
Read how Evalueserve climbed 16 places on the 50 Best Firms for Data Scientists in 2024.
Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances.
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