Data Science- Consultant

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.
• 6 -8 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 Pallab Kumar Deb, CEO “Domain knowledge is the hardest thing to build in the age of AI. We've spent 25 years building it, workflow by workflow, in industries where getting the details wrong is expensive. That's what domain-led AI firm means here. Not a layer of AI on top of generic services, but AI built into the specific judgment calls our clients face every day. If you want to build AI that changes how real work gets done, not AI that just looks good in a demo, this is where that happens”

Sanjoy Roy Choudhary, Executive Vice President for Data Analytics “We are trusted by some of the largest and most complex businesses in the world, and that trust is earned every day through expertise, technology, and a genuine hunger to innovate. The intersection of AI, analytics, and insights is creating possibilities that simply did not exist before, and we are right in the middle of it. We seek out hard problems, we push forward, and we are looking for ambitious people who want to help discover new avenues of growth with us.” 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” Follow Us
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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. Please Note: We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we may verify your employment, education, and other details. Please ensure all information is factual and submitted on time. For any assistance, your recruiter is available to support you.