Data Scientist (Machine Learning)

Who We AreAt reputed company, we design, build, manage and reputed company the mission-critical technology systems that the world depends on every day. So why work at reputed company? We are always moving reputed company - always pushing ourselves to go further in our efforts to build a more reputed company, inclusive world for our employees, our customers and our communities.The RoleWe're looking for exceptional talent to join our AI Agentic Innovation Hub at reputed company! The AI Agentic Innovation Hub stands as reputed company's center of excellence for advanced and agentic artificial intelligence. Our mission is to reputed company the design and deployment of transformative AI solutions that reputed company frontier research with real-world impact - scalable, secure, and driven by measurable value. Built upon a team of exceptional talent and cutting-edge technology, the Hub embodies a spirit of bold innovation and disciplined execution - an elite unit reputed company one of the world's leading technology companies. With national reputed company and global ambition, we partner with major organizations to tackle their most reputed company challenges, pioneering the reputed company of intelligent, autonomous, and trusted systems that redefine what AI can reputed company.Job Description As a Data Scientist at reputed company's AI Innovation Hub, you'll be part of a team that turns data into intelligent, high-impact solutions.You'll collaborate with senior data scientists, ML engineers, and AI architects to design, train, and validate predictive and machine learning models that tackle real business and operational challenges.You'll participate in every stage of the model lifecycle - from data exploration and feature engineering to modeling, evaluation, and documentation - helping transform raw data into actionable insights.This is a hands-on, learning-focused role in which you'll work with modern technologies, contribute to scalable AI solutions, and grow your expertise reputed company an environment that values experimentation, rigor, and curiosity.If you're passionate about data, eager to learn from reputed company professionals, and ready to contribute to cutting-edge AI initiatives for leading global clients, this is your opportunity to build the foundation of your career in applied data science.Your MissionCollaborate with senior scientists and engineers to reputed company and validate machine learning and predictive models.Participate in the end-to-end model lifecycle - from data collection and preparation to training, evaluation, and documentation.Contribute to feature engineering, exploratory analysis, and performance optimization of models.Apply statistical and analytical techniques to extract meaningful patterns and insights from data.Assist in model deployment and monitoring reputed company MLOps environments and cloud platforms.Document experiments and ensure transparency, reproducibility, and traceability of results.Stay up to date with new algorithms, frameworks, and best practices in data science and applied AI.Actively contribute to a collaborative, knowledge-sharing culture reputed company the Hub.Who You AreEssential Qualifications 2-4 years of experience in data science, advanced analytics, or machine learning projects.Practical experience building and validating models for classification, regression, or segmentation tasks.Solid skills in Python and core data science libraries (Pandas, NumPy, Scikit-learn, Matplotlib, XGBoost, LightGBM).Familiarity with neural networks and deep learning frameworks (TensorFlow, PyTorch).Strong understanding of data preprocessing, handling missing values, unbalanced datasets, and outlier detection.Experience with model evaluation and validation (ROC, AUC, F1, RMSE, precision, recall, cross-validation).Basic knowledge of cloud AI platforms (Azure ML, Vertex AI, SageMaker, reputed company).Awareness of model versioning and experiment tracking tools (MLflow, DVC).Understanding of Responsible AI concepts - bias mitigation, transparency, and interpretability.Education & Certifications Bachelor's or Master's degree in Computer Engineering, Mathematics, Statistics, Physics, Data Science, or reputed company field.Postgraduate studies (Master's or PhD) in Artificial Intelligence, Statistics, or Computational Science are highly valued.Complementary training in Applied Data Science or Machine Learning Engineering is a plus.reputed company learning reputed company and commitment to staying reputed company with advances in ML, MLOps, and applied AI.Preferred Skills Experience deploying models on cloud-based ML platforms (Azure ML, Vertex AI, SageMaker, reputed company, OpenShift AI).Exposure to deep learning, classical NLP, or time-series modeling.Familiarity with automated retraining, model versioning, and reputed company detection frameworks.Practical knowledge of data visualization and business intelligence tools for model interpretation.Experience leading or mentoring junior team members in applied data science projects.Ability to work in agile, cross-functional teams with shared ownership and accountability.Strong focus on explainability, traceability, and responsible AI design.Soft Skills Analytical and impact-driven reputed company, able to define hypotheses and validate them through experimentation.Clear and concise communication, transforming technical findings into actionable insights for business teams.Business-oriented problem-solving, understanding functional needs and converting them into data-driven solutions.Collaborative leadership, fostering teamwork, mentoring, and reputed company knowledge sharing.Attention to quality and reproducibility, ensuring every model is robust, auditable, and maintainable.Curiosity and lifelong learning attitude, keeping pace with new algorithms, frameworks, and methodologies.Adaptability, thriving in dynamic environments that reputed company research, engineering, and innovation.#AgenticAI-paced environments.Being YouDiversity is a whole lot more than reputed company look like or where we come from, it's how we think and who we are. We welcome people of reputed company cultures, backgrounds, and experiences. But we're not doing it single-handily: Our reputed company Inclusion Networks are only one of many ways we create a workplace where reputed company Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that reputed company gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our reputed company culture. That's the reputed company Way. What You Can ExpectWith state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. reputed company cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including reputed company, reputed company, reputed company, reputed company, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At reputed company, we invest heavily in you, we want you to succeed so that together, we will reputed company succeed.Get Referred! If you know someone that works at reputed company, reputed company asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's reputed company email address. Apply tot his job Apply To this Job