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
Over Cognizant
Cognizant (NASDAQ: CTSH) is een bouwer van AI-oplossingen en een leverancier van technologiediensten. Wij slaan de brug tussen AI-investeringen en ondernemingswaarde door het bouwen van full-stack AI-oplossingen voor onze klanten. Onze diepgaande kennis van sectoren, processen en engineering stelt ons in staat om de unieke context van een organisatie te verankeren in technologische systemen. Deze systemen versterken het menselijk potentieel, realiseren tastbare resultaten en geven wereldwijde ondernemingen een voorsprong in een snel veranderende wereld. Ontdek hoe op cognizant.ai of @cognizant.
Aanvullende arbeidsinformatie
De informatie over de beloning is correct op de datum van deze vacature. Cognizant behoudt zich het recht voor om deze informatie op elk moment te wijzigen, met inachtneming van de toepasselijke wetgeving.
Van sollicitanten kan worden verwacht dat zij gesprekken bijwonen, persoonlijk of via een videogesprek. Daarnaast kan van kandidaten worden gevraagd om tijdens elk gesprek een geldig, door de overheid uitgegeven identiteitsbewijs (zoals een identiteitskaart of paspoort) te tonen.
Cognizant is een werkgever die gelijke kansen biedt. Je sollicitatie en kandidatuur worden niet beoordeeld op basis van ras, huidskleur, geslacht, religie, levensovertuiging, seksuele geaardheid, genderidentiteit, nationale afkomst, handicap, genetische informatie, zwangerschap, veteranenstatus of enige andere eigenschap die wordt beschermd door federale, regionale of lokale wetgeving.
