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
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
