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data scientist

Ericsson

<div>
 
 About Ericsson
 
 
 
 Ericsson is a leading provider of telecommunications equipment and services to mobile and fixed network operators globally. Our innovative solutions empower individuals, businesses, and societies to explore their full potential in the Networked Society. We are seeking a highly skilled and experienced Data Scientist to join our dynamic team at Ericsson. As a Data Scientist, you will be responsible for leveraging advanced analytics and machine learning techniques to drive actionable insights and solutions for our telecom domain. This role requires a deep understanding of data science methodologies, strong programming skills, and proficiency in cloud-based environments.
 
 
 
 Key Responsibilities
 
 
 
 Develop and deploy machine learning models for various applications including chat-bot, XGBoost, random forest, NLP, computer vision, and generative AI.
 
 
 Utilize Python for data manipulation, analysis, and modeling tasks.
 
 
 Proficient in SQL for querying and analyzing large datasets.
 
 
 Experience with Docker and Kubernetes for containerization and orchestration of applications.
 
 
 Basic knowledge of PySpark for distributed computing and data processing.
 
 
 Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
 
 
 Deploy machine learning models into production environments and ensure scalability and reliability.
 
 
 Preferably have experience working with Google Cloud Platform (GCP) services for data storage, processing, and deployment.
 
 
 
 Qualifications
 
 
 
 Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree or PhD is preferred.
 
 
 8-12 years of experience in data science and machine learning roles, preferably within the telecommunications or related industry.
 
 
 Proven experience in model development, evaluation, and deployment.
 
 
 Strong programming skills in Python and SQL.
 
 
 Familiarity with Docker, Kubernetes, and PySpark.
 
 
 Solid understanding of machine learning techniques and algorithms.
 
 
 Experience working with cloud platforms, preferably GCP.
 
 
 Excellent problem-solving skills and ability to work independently as well as part of a team.
 
 
 Strong communication and presentation skills, with the ability to explain complex analytical concepts to non-technical stakeholders.
 
 
 
 Why join Ericsson?
 
 
 
 At Ericsson, you&acute;ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what&acute;s possible. To build solutions never seen before to some of the world&rsquo;s toughest problems. You&acute;ll be challenged, but you won&rsquo;t be alone. You&acute;ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
 
 
 
 What happens once you apply?
 
 
 
 Click Here to find all you need to know about what our typical hiring process looks like.
 
 
 Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
 
 
 
 Primary country and city:
 
 India (IN) || Noida
 
 
 
 Req ID:
 
 767292
</div>

Data Scientist

Cognizant

<div>
 
 Job Summary
 
 
 
 We are seeking a highly skilled Data Scientist with 6 to 12 years of experience to join our team. The ideal candidate will have expertise in Statistics Azure Open AI Service EDA Airflow Knowledge Graph ML Ops Machine Learning Cloud AutoML Dialogflow OpenCV Artificial Intelligence Natural Language Processing Deep Learning PyTorch AI enabled chatbot Tensorflow R Statistical Package Python and Search Engine Optimization.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead the development and implementation of machine learning models to solve complex business problems
 </li>
 <li>
 Oversee the application of statistical techniques to analyze large datasets and extract meaningful insights
 </li>
 <li>
 Provide expertise in Azure Open AI Service to enhance AI capabilities within the organization
 </li>
 <li>
 Conduct exploratory data analysis (EDA) to identify trends patterns and anomalies in data
 </li>
 <li>
 Utilize Airflow to manage and automate data workflows and pipelines
 </li>
 <li>
 Implement knowledge graphs to improve data relationships and insights
 </li>
 <li>
 Apply ML Ops practices to streamline the deployment and monitoring of machine learning models
 </li>
 <li>
 Develop and optimize machine learning algorithms using Cloud AutoML and other tools
 </li>
 <li>
 Integrate Dialogflow to create and manage AI-enabled chatbots for customer interaction
 </li>
 <li>
 Utilize OpenCV for computer vision tasks and image processing
 </li>
 <li>
 Apply artificial intelligence and natural language processing techniques to enhance data analysis
 </li>
 <li>
 Implement deep learning models using PyTorch and Tensorflow for advanced data analysis
 </li>
 <li>
 Use R Statistical Package and Python for data manipulation analysis and visualization
 </li>
 <li>
 Optimize search engine performance through effective SEO strategies
 </li>
 <li>
 Collaborate with cross-functional teams to ensure alignment of data science projects with business objectives
 </li>
 <li>
 Communicate findings and recommendations to stakeholders in a clear and concise manner
 </li>
 <li>
 Stay updated with the latest advancements in data science and machine learning technologies
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Must have strong experience in Statistics and Azure Open AI Service
 </li>
 <li>
 Must be proficient in EDA Airflow and Knowledge Graph
 </li>
 <li>
 Must have expertise in ML Ops Machine Learning and Cloud AutoML
 </li>
 <li>
 Must be skilled in Dialogflow OpenCV and Artificial Intelligence
 </li>
 <li>
 Must have experience in Natural Language Processing and Deep Learning
 </li>
 <li>
 Must be proficient in PyTorch AI enabled chatbot and Tensorflow
 </li>
 <li>
 Must have strong knowledge of R Statistical Package and Python
 </li>
 <li>
 Must have experience in Search Engine Optimization
 </li>
 <li>
 Nice to have experience in other data science and machine learning tools and technologies
 </li>
 <li>
 Must have excellent communication and collaboration skills
 </li>
 </ul>
</div>

PwC India

<div>
 
 
 Job Description &amp; Summary:
 
 We are looking for a skilled
 
 Azure Cloud Data Engineer
 
 with strong expertise in
 
 Python programming
 
 ,
 
 Databricks
 
 , and
 
 advanced SQL
 
 to join our team in
 
 Noida
 
 . The candidate will be responsible for designing, developing, and optimizing scalable data solutions on the Azure cloud platform. You will play a critical role in building data pipelines and transforming complex data into actionable insights by leveraging cloud-native tools and technologies.
 
 
 
 Level:
 
 Senior Consultant / Manager
 
 
 
 Location:
 
 Noida
 
 
 
 LOS:
 
 
 
 
 Competency:
 
 Data &amp; Analytics
 
 
 
 Skill: Azure Data Engineering
 
 
 
 
 Job Position Title:
 
 
 
 Azure Cloud Data Engineer with Python Programming &ndash; Senior Consultant/Manager (6+ Years)
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and manage scalable and secure data pipelines using Azure Databricks and Azure Data Factory.
 </li>
 <li>
 Write clean, efficient, and reusable code primarily in
 
 Python
 
 for cloud automation, data processing, and orchestration.
 </li>
 <li>
 Architect and implement cloud-based data solutions, integrating structured and unstructured data sources.
 </li>
 <li>
 Build and optimize ETL workflows and ensure seamless data integration across platforms.
 </li>
 <li>
 Develop data models using normalization and denormalization techniques to support OLTP and OLAP systems.
 </li>
 <li>
 Manage Azure-based storage solutions including Azure Data Lake and Blob Storage.
 </li>
 <li>
 Troubleshoot performance bottlenecks in data flows and ETL processes.
 </li>
 <li>
 Integrate advanced analytics and support BI use cases within the Azure ecosystem.
 </li>
 <li>
 Lead code reviews and ensure adherence to version control practices (e.g., Git).
 </li>
 <li>
 Contribute to the design and deployment of enterprise-level data warehousing solutions.
 </li>
 <li>
 Stay current with Azure cloud technologies and Python ecosystem updates to adopt best practices and emerging tools.
 </li>
 </ul>
 
 
 Mandatory skill sets:
 
 
 
 
 
 <ul>
 <li>
 
 Strong Python programming skills (Must-Have)
 
 &ndash; advanced scripting, automation, and cloud SDK experience
 </li>
 <li>
 
 Strong SQL skills (Must-Have)
 
 </li>
 <li>
 
 Azure Databricks (Must-Have)
 
 </li>
 <li>
 Azure Data Factory
 </li>
 <li>
 Azure Blob Storage / Azure Data Lake Storage
 </li>
 <li>
 Apache Spark (hands-on experience)
 </li>
 <li>
 
 Data modeling (Normalization &amp; Denormalization)
 
 </li>
 <li>
 Data warehousing and BI tools integration
 </li>
 <li>
 Git (Version Control)
 </li>
 <li>
 Building scalable ETL pipelines
 </li>
 </ul>
 
 
 Preferred skill sets (Good to Have):
 
 
 
 
 
 <ul>
 <li>
 Understanding of OLTP and OLAP environments
 </li>
 <li>
 Experience with Kafka and Hadoop
 </li>
 <li>
 Azure Synapse Analytics
 </li>
 <li>
 Azure DevOps for CI/CD integration
 </li>
 <li>
 Agile delivery methodologies
 </li>
 </ul>
 
 
 Years of experience required:
 
 
 
 
 
 <ul>
 <li>
 6+ years of overall experience in cloud engineering or data engineering roles, with at least 2-3 years of hands-on experience with Azure cloud services.
 </li>
 <li>
 Proven track record of strong Python development with at least 2-3 years of hands-on experience.
 </li>
 </ul>
 
 
 Education qualification:
 
 
 
 
 
 
 BE/B.Tech/MBA/MCA
 
 
 
</div>

Senior Consultant

STAGE

<div>
 
 
 About STAGE:
 
 
 
 STAGE is India&rsquo;s leading OTT platform focused on regional content and storytelling. We are on a mission to empower audiences with authentic, homegrown content, and data is at the core of how we build, scale, and deliver.
 
 
 
 
 
 
 Role Overview:
 
 
 
 As the
 
 Head of Data
 
 , you will lead and scale our Data Engineering and Analytics functions. You will be responsible for building a high-performing team, driving the data vision, ensuring cost efficiency, and enabling data-driven decision-making across STAGE.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 Leadership &amp; Strategy
 
 <ul>
 <li>
 Define and drive the data vision, strategy, and roadmap for STAGE.
 </li>
 <li>
 Lead Data Engineering and Analytics teams to deliver scalable, reliable, and impactful data platforms.
 </li>
 <li>
 Build, mentor, and grow a high-performing data team through effective hiring, feedback, and career development.
 </li>
 </ul>
 
 Execution &amp; Delivery
 
 <ul>
 <li>
 Oversee the entire data lifecycle: collection, storage, processing, governance, and visualization.
 </li>
 <li>
 Deliver accurate, timely insights and enable self-service analytics across teams.
 </li>
 <li>
 Collaborate with Product, Engineering, Marketing, and Business stakeholders to prioritize initiatives.
 </li>
 </ul>
 
 Operational Excellence
 
 <ul>
 <li>
 Manage budgets and optimize infrastructure and tool costs.
 </li>
 <li>
 Establish best practices for data quality, privacy, compliance, and security.
 </li>
 <li>
 Build scalable reporting frameworks and ensure operational efficiency.
 </li>
 </ul>
 
 Stakeholder Management
 
 <ul>
 <li>
 Act as a trusted partner to leadership, enabling data-driven decision-making.
 </li>
 <li>
 Align data priorities with overall business objectives.
 </li>
 </ul>
 
 
 
 
 
 Desired Skills &amp; Experience:
 
 
 <ul>
 <li>
 
 10+ years of overall experience
 
 in Data Engineering, Data Analytics, or related domains.
 </li>
 <li>
 Minimum
 
 3 years of proven leadership experience
 
 managing data teams.
 </li>
 <li>
 Hands-on foundation as a Data Engineer or Data Analyst.
 </li>
 <li>
 Strong experience in hiring, mentoring, and team growth.
 </li>
 <li>
 Expertise in
 
 cost management, prioritization, and stakeholder alignment
 
 .
 </li>
 <li>
 Experience with modern data stacks: cloud platforms (AWS/GCP/Azure), data warehousing (Snowflake/BigQuery/Redshift), and analytics tools (Looker, Tableau, Power BI, etc.).
 </li>
 <li>
 Excellent communication, leadership, and problem-solving skills.
 </li>
 </ul>
 
 
 
 
 
 Why Join STAGE?
 
 
 <ul>
 <li>
 Lead and build the Data function for a high-growth OTT platform.
 </li>
 <li>
 Work on impactful, large-scale data problems that shape the future of regional content in India.
 </li>
 <li>
 Join a collaborative culture focused on innovation, ownership, and growth.
 </li>
 </ul>
</div>

Head of Data Engineering & Analytics

Ingenico

<div>
 
 
 Job Summary:
 
 
 
 We are looking for a skilled and analytical
 
 BI &amp; Reporting Analyst
 
 to support our Customer Support and team through advanced reporting, visualization, and data insights. This role is critical in translating ITIL-aligned support data into actionable dashboards and reports to drive performance, SLA adherence, and continuous improvement.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, build, and maintain interactive dashboards in
 
 Power BI
 
 that visualize KPIs across Incident, Problem, Change, and Request Management processes.
 </li>
 <li>
 Collaborate with ITSM and Customer Support teams to identify reporting needs aligned with
 
 ITIL practices
 
 and service goals.
 </li>
 <li>
 Translate raw data from ITSM tools (e.g., Jira Service Management, ServiceNow, BMC Remedy, ) into clean, structured datasets suitable for reporting.
 </li>
 <li>
 Provide insights into support performance, SLA compliance, ticket volumes, resolution times, backlog trends, and user satisfaction metrics.
 </li>
 <li>
 Develop data models, queries, and metrics that support operational and strategic decision-making.
 </li>
 <li>
 Ensure accuracy, consistency, and availability of real-time and historical data for dashboards and reports.
 </li>
 <li>
 Document and maintain data definitions, report logic, and dashboard usage guidelines.
 </li>
 <li>
 Support audits, compliance tracking, and executive reporting with on-demand and scheduled data visualizations.
 </li>
 <li>
 Continuously identify opportunities to automate reporting and improve data accessibility and storytelling.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 6+ years of hands-on experience designing
 
 Power BI dashboards
 
 and reports, preferably in an IT or customer support-focused organization.
 </li>
 <li>
 Strong knowledge of
 
 ITIL frameworks
 
 and ITSM processes (especially Incident, Problem, and Change Management).
 </li>
 <li>
 Experience working with ITSM platforms such as
 
 Jira Service Management, ServiceNow, or BMC
 
 .
 </li>
 <li>
 Understanding of support operations, service metrics (SLAs, KPIs), and reporting requirements in customer support or service desk environments.
 </li>
 <li>
 Strong analytical thinking and attention to detail.
 </li>
 <li>
 Familiarity with Excel, SQL, and other data tools.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 ITIL Foundation Certification (v3 or v4).
 </li>
 <li>
 Experience with automated data pipelines or ETL tools.
 </li>
 <li>
 Experience integrating data from multiple systems (CRM, ITSM, HR systems, etc.).
 </li>
 <li>
 Familiarity with tools like Tableau or Excel VBA as secondary platforms.
 </li>
 </ul>
 
 
</div>

BI & Reporting Analyst

ShyftLabs

<div>
 
 Position Overview:
 
 
 
 We are looking for a Business Intelligence Analyst to support our digital and marketing analytics efforts. This role will contribute to improving the online booking experience, optimizing performance across digital channels, and helping define the metrics that guide growth. You will collaborate with analytics, engineering, and marketing teams to build scalable data solutions and deliver actionable insights.
 
 
 ShyftLabs is a growing data product company founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.
 
 
 
 Job Responsibilities:
 
 
 
 <ul>
 <li>
 Assist in building reporting tools and dashboards to track performance of the online booking funnel and enhance client experience.
 </li>
 <li>
 Test, track, and improve search, social, and content performance to increase customer engagement and conversions.
 </li>
 <li>
 Partner with the Data Engineering team to define and operationalize key business metrics, including bookings, conversion rates, and no-show rates.
 </li>
 <li>
 Extract, clean, and prepare data from platforms like Snowflake to support ad-hoc and recurring analysis.
 </li>
 <li>
 Develop dashboards and performance reports using tools like Power BI for internal stakeholders.
 </li>
 <li>
 Monitor trends and surface data-backed recommendations that support marketing, digital, and business growth strategies.
 </li>
 <li>
 Collaborate with data teams to set KPIs, build dashboards, and extract actionable insights from all data types.
 
 
 
 </li>
 </ul>
 
 Basic Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Analytics, Business, Marketing, Computer Science, or a related field
 </li>
 <li>
 2&ndash;4 years of hands-on experience in business intelligence, digital or marketing analytics, or related roles
 </li>
 <li>
 Proficiency in SQL and Excel, with experience working with data platforms such as Snowflake
 </li>
 <li>
 Strong skills in building dashboards and reports using BI tools, especially Power BI
 </li>
 <li>
 Familiarity with digital analytics platforms such as Google Analytics or equivalent
 </li>
 <li>
 Excellent analytical thinking, communication, and problem-solving skills
 </li>
 <li>
 Clear and professional communication skills, both verbal and written, with the ability to present complex data in a compelling and actionable way to non-technical stakeholders
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience working in multi-location retail, healthcare, or veterinary services
 </li>
 <li>
 Exposure to marketing attribution, web funnel analysis, or client journey optimization
 
 
 
 </li>
 </ul>
 
 We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.
 
</div>

Business Intelligence Analyst

Denave

<div>
 
 Denave is looking for a
 
 Business Analyst
 
 , who has ability turn data into knowledge to deliver best possible solutions to our clients.
 
 
 
 
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Requirement Gathering: Engage with stakeholders to elicit, document, and validate business requirements using structured techniques.
 </li>
 <li>
 Should have experience in client interactions
 </li>
 <li>
 Needs Assessment: Analyze business challenges and opportunities to identify and prioritize needs across projects.
 </li>
 <li>
 Insight Derivation: Translate business understanding into actionable insights using qualitative and quantitative analysis.
 </li>
 <li>
 Ability to identify actionable insights by analyzing data in respect to the business focus/needs.
 </li>
 <li>
 Ability to interpret Data insights to the respective stakeholders
 </li>
 <li>
 Manage marketing and sales campaign analytics and provide performance visibility
 </li>
 <li>
 Process Adherence: Monitor and ensure compliance with established business processes, standards, and governance frameworks.
 </li>
 <li>
 Business Analysis: Conduct gap analysis, feasibility studies, and impact assessments to support decision-making and solution design.
 </li>
 <li>
 Perform hands-on analysis of large volumes of data and across multiple datasets  Support ad-hoc analysis and requests from business units and leadership
 </li>
 </ul>
 
 
 
 
 
 
 Job Requirements
 
 
 
 <ul>
 <li>
 B.Tech /BE/ BCA/ BSc in Computer Science, Engineering or relevant field, from reputed Engineering College/ Universities is preferred or Any Graduate
 </li>
 <li>
 
 Minimum 2 years of experience as a Business Analyst, working with BI and Analytics teams or on client-facing projects, is required.
 
 </li>
 <li>
 
 Exposure to large datasets, data cleaning and storytelling through data
 
 </li>
 <li>
 
 Excellent communication skills with stakeholder management experience Skills &amp; Competencies
 
 </li>
 <li>
 Strong analytical thinking and problem-solving abilities.
 </li>
 <li>
 
 Excellent communication and stakeholder engagement skills.
 
 </li>
 <li>
 Proficiency in tools like Power BI, and MS Excel.
 </li>
 <li>
 Experience with process modeling and documentation (e.g., BPMN, flowcharts).
 </li>
 <li>
 
 Ability to synthesize complex data into clear business recommendations
 
 </li>
 </ul>
</div>

Business Analyst

Explore 51+ Data scientist in Noida this September. Find roles across top companies and apply now to boost your career.

51 data scientist jobs IN Noida

Data Scientist

Data Scientist

Senior Consultant

Head of Data Engineering & Analytics

BI & Reporting Analyst

Business Intelligence Analyst

Business Analyst