Skill: Consultant – Data Science
Exp: 4 to 7 years
Location: Hyderabad
Shift: Night Shift
As a Consultant, you contribute to technical delivery across modernization and cloud transformation projects. You work under the guidance of senior consultants and architects, applying strong hands‑on skills to implement solutions that align with established standards. You build subject‑matter expertise while strengthening delivery consistency and technical execution.
Responsibilities
· Execute delivery tasks that support solution architectures and modernization priorities.
· Implement application, data, or cloud components based on established technical designs.
· Collaborate with team members across App Innovation, Cloud Platform, and Data & AI to ensure integrated delivery.
· Follow delivery frameworks, coding standards, and quality checks established for the project.
· Participate in design walkthroughs and apply feedback to improve technical execution.
· Collaborate with architects, project managers, and client stakeholders to drive successful outcomes.
· Support junior team members by sharing knowledge and best practices.
· Support documentation, testing, and validation activities aligned to delivery needs.
· Provide status updates, surface risks, and collaborate with leads to maintain execution quality.
· Apply current Azure technologies and Microsoft frameworks to optimize solutions for maintainability, performance, and cost efficiency.
· Contribute to reusable assets and internal frameworks as assigned.
· Manage workload and commitments to meet utilization goals while maintaining architectural quality across engagements.
· Invests in internal thought leadership, culture of feedback, knowledge-sharing, and/or Intellectual Property development opportunities, including communities of practice and internal initiatives.
· Delivery and Consulting Excellence
· Build trust with managers and product owners, influencing priorities and roadmaps in ways that support the client’s long-term interests.
· Support effective Agile practices by ensuring a clear Definition of Done, and data-informed course corrections based on telemetry and feedback.
· Demonstrated ability to leverage AI and emerging technologies to improve productivity, enhance decision-making, streamline delivery processes, and drive measurable business value. Commitment to continuous learning and adoption of new digital capabilities is required.
Requirements
· 2 or more years of relevant experience implementing technical solutions on Azure.
· Two years of experience in data science, machine learning, or advanced analytics, preferably in consulting or client-facing settings.
· Demonstrated ability to build and deploy data and ML components on Azure or comparable cloud environments.
· Proficiency in one or two of the following areas:
o Data Engineering & Integration – Spark, Azure Data Factory, Synapse, Delta Lake, or Data Lake Storage.
o Machine Learning – model development, feature engineering, validation, and tuning using Python (pandas, NumPy, scikit-learn, PySpark).
o MLOps & Automation – MLflow, Azure ML pipelines, CI/CD concepts, or model monitoring.
o Analytics & Visualization – Power BI, Plotly, Seaborn, Matplotlib for communicating insights.
o Cloud & AI Foundations – exposure to Azure Databricks, Fabric, or Prompt Flow; basic understanding of agentic frameworks (Semantic Kernel, AutoGen).
· Familiarity with data modeling, experiment design, and statistical inference concepts.
· Knowledge of modern development tools such as GitHub, Copilot, and version control workflows.
· Exposure to data governance, metadata management, or Responsible AI practices.
· Prior hands-on work with Databricks Unity Catalog or Microsoft Fabric.
· Relevant Azure or Databricks certifications in Data, AI, or Architecture.
· Technical foundation in one Azure domain (Application Innovation, Cloud Platform, or Data & AI)
· Demonstrated ability to execute assigned tasks within application, cloud, or data domains.
· Experience working within delivery teams and following established technical processes with attention to detail.
· Effective communicator able to work collaboratively across project teams.
· Exposure to hybrid or multi-cloud environments is a plus
Things to know before you apply
- Work authorization: Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.
- Accommodations: If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
- AI in hiring: We use artificial intelligence (AI) tools to help us screen and assess applications more efficiently. Our team performs additional human review and ultimately decides who moves forward in our hiring process.
- Open position: Unless otherwise stated, this job posting is for an open position on our team.
- Language proficiency: We ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.
- Inclusion: Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.
About Cognizant
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.











