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data scientist - go/jc/1384/2025 Jobs in Hyderabad India

data scientist - go/jc/1384/2025

data engineer

Procter & Gamble

<div>
 
 Job Location
 
 
 
 HYDERABAD OFFICE APAC
 
 
 
 Job Description
 
 
 
 Procter &amp; Gamble is one of the largest FMCG (Fast Moving Consumer Goods) company in the world with strong brands like Pampers, Ariel, Always, Gillette and Oral B just to name a few. For more information about P&amp;G the company and our brands please visit www.pg.com and our career website at pgcareers.com
 
 
 
 Are
 
 
 you
 
 
 ready
 
 
 to
 
 
 unleash
 
 
 your
 
 
 technical
 
 
 creativity?
 
 
 
 Innovation is the driving effort behind everything we do at P&amp;G. Across the world, you will find thousands of scientists, engineers and developers working in manufacturing plants, innovation centers and distribution facilities.
 
 
 
 Overview Of The Job
 
 
 
 This role reports to IT Director and will be located in India with the broader Data Engineering Team.
 
 
 
 Your team
 
 
 
 
 About The Data Solutions &amp; Engineering Team
 
 
 
 We take pride in managing the most-valuable asset of company in Digital World, called Data. Our vision is to deliver Data as a competitive advantage for our Business, by building unified data platforms, delivering customized BI tools for managers &amp; empowering insightful business decisions through AI in Data.
 
 
 In this role, you'll be constantly learning, staying up to date with industry trends and emerging technologies in data solutions. You'll have the chance to work with a variety of tools and technologies, including big data platforms, machine learning frameworks, and data visualization tools, to build innovative and effective solutions.
 
 
 So, if you're excited about the possibilities of data, and eager to make a real impact in the world of business, a career in data solutions might be just what you're looking for. Join us and become a part of the future of digital transformation.
 
 
 
 About P&amp;G IT
 
 
 
 Digital is at the core of P&amp;G&rsquo;s accelerated growth strategy. With this vision, IT in P&amp;G is deeply embedded into every critical process across business organizations comprising 11+ category units globally creating impactful value through Transformation, Simplification &amp; Innovation. IT in P&amp;G is sub-divided into teams that engage strongly for revolutionizing the business processes to deliver exceptional value &amp; growth - Digital GTM, Digital Manufacturing, Marketing Technologist, Ecommerce, Data Sciences &amp; Analytics, Data Solutions &amp; Engineering, Product Supply.
 
 
 
 Responsibilities Of The Role
 
 
 
 <ul>
 <li>
 Understand the business requirements and convert into technical design of data pipelines and data models
 </li>
 <li>
 Write code to ingest, transform and harmonize raw data into usable refined models
 </li>
 <li>
 Analyze multiple data sets associated with the use cases in-scope in order to effectively design and develop the most optimal data models and transformation
 </li>
 <li>
 Craft integrated systems, implementing ELT/ ETL jobs to fulfil business deliverables.
 </li>
 <li>
 Performing sophisticated data operations such as data orchestration, transformation, and visualization with large datasets.
 </li>
 <li>
 Coordinate with data asset managers, architects, and development team to ensure that the solution is fit for use and are meeting vital architectural requirements.
 </li>
 <li>
 Demonstrate standard coding practices to ensure delivery excellence and reusability
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 A wide range of challenging manufacturing/engineering assignments in one of the most influential companies in the world. We don&rsquo;t just offer a job; we offer a career with varying assignments and lots of development opportunities
 </li>
 <li>
 An opportunity for you to develop and deliver state of the art technologies supported by multi-million capital investments.
 </li>
 <li>
 Travel opportunities to the project locations to see your design come to life
 </li>
 <li>
 Continuous coaching&ndash; you will work with passionate people and receive both formal training as well as day-to-day mentoring from your coach and manager
 </li>
 <li>
 Dynamic and respectful international work environment&ndash; employees are at the core, we value every individual and encourage initiatives, promoting agility and work/life balance.
 </li>
 <li>
 A competitive compensation package, in line with your qualifications and experience
 
 
 </li>
 </ul>
 
 Job Qualifications
 
 
 
 
 Role Requirements
 
 
 
 <ul>
 <li>
 At least 3 years of experience in Data Engineering
 </li>
 <li>
 Hands-on experience in building data models, data pipelines, data ingestion, harmonization along with data governance.
 </li>
 <li>
 Hands-on experience in scripting language like Python, R or Scala
 </li>
 <li>
 Backend Development expertise on SQL Database, SQL Data Warehouse or any data warehousing solutions in cloud
 </li>
 <li>
 Hands-on experience of reporting tools like Power BI or Tableau
 </li>
 <li>
 Knowledge in DevOps Tools and CICD tools (e.g. Azure DevOps and Github)
 </li>
 <li>
 Knowledge in cloud technologies (Azure Cloud) &ndash; at least 2 years inclusive of software engineering experience.
 </li>
 <li>
 Cloud Native application development using Angular and .Net.
 </li>
 <li>
 Knowledge in Agile or Scrum methodologies with proven track record of successful projects
 </li>
 <li>
 Graduate of Engineering or IT related course
 
 
 </li>
 </ul>
 
 Just So You Know
 
 
 
 We are an equal opportunity employer and value diversity at our company. Our mission of Diversity and Inclusion is: &ldquo;Everyone valued. Everyone included. Everyone performing at their peak&rdquo;.
 
 
 
 
 At P&amp;G, the hiring journey is personalized every step of the way, thereby ensuring equal opportunities for all, with a strong foundation of Ethics &amp; Corporate Responsibility guiding everything we do.
 
 
 
 
 
 
 All the available job opportunities are posted either on our website - pgcareers.com, or on our official social media pages, for the convenience of prospective candidates, and do not require them to pay any kind of fees towards their application.&rdquo;
 
 
 
 
 
 Job Schedule
 
 
 
 Full time
 
 
 
 Job Number
 
 
 
 R000137874
 
 
 
 Job Segmentation
 
 
 
 Experienced Professionals
</div>

Data Engineer

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 <ul>
 <li>
 As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.
 </li>
 <li>
 Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.
 </li>
 <li>
 In this role, your responsibilities may include:
 </li>
 <li>
 Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques
 </li>
 <li>
 Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements
 </li>
 <li>
 Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviour&rsquo;s.
 
 
 </li>
 </ul>
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
 </li>
 <li>
 Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another
 </li>
 <li>
 Document solution architectures, design decisions, implementation details, and lessons learned.
 </li>
 <li>
 Stay up to date with the latest trends and advancements in AI, foundation models, and large language models.
 </li>
 <li>
 Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Experience and working knowledge in COBOL &amp; JAVA would be preferred
 </li>
 <li>
 Having experience in Code generation, code matching &amp; code translation leveraging LLM capabilities would be a Big plus
 </li>
 <li>
 Demonstrate a growth mindset to understand clients' business processes and challenges
 </li>
 </ul>
</div>

Data Scientist-Advanced Analytics

Golden Opportunities

<div>
 
 Job Description
 
 
 
 Define, build, and lead a team of Data Scientists and Data analysts Discover areas in operations that can be automated through machine learning Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytical solutions Work closely with internal stakeholders and align them with respect to your focus area Innovate by adapting new modeling techniques and procedures Implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports.
 
 
 
 Skills Required
 
 
 
 RoleData Scientist
 
 
 Industry TypeIT/ Computers - Software]
 
 
 Functional AreaIT-Software
 
 
 Required Education
 
 
 Employment TypeFull Time, Permanent
 
 
 Key Skills
 
 
 <ul>
 <li>
 DATA SCIENCE
 </li>
 <li>
 MACHINE LEARNING
 
 
 </li>
 </ul>
 Other Information
 
 
 Job CodeGO/JC/1384/2025
 
 
 Recruiter NameRamya V
</div>

Data Scientist - GO/JC/1384/2025

Sutherland

<div>
 
 Interested suitable candidates please be in touch with priti.kumari@sutherlandglobal.com
 
 
 
 
 
 Detailed Job Description:
 
 
 
 
 
 Excellent communication
 
 
 Exp-6+ years
 
 
 Location- Mumbai/Hyderabad/Bangalore/Chennai/Bhopal
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and maintain RESTful and GraphQL APIs to support scalable, high-performance applications.
 </li>
 <li>
 Collaborate with data engineers and developers to create seamless integrations between APIs, data pipelines, and web applications.
 </li>
 <li>
 Build and maintain applications using frameworks like Java Spring Boot, Hibernate, Python Fast API, and ReactJS.
 </li>
 <li>
 Ensure system scalability, security, and reliability by implementing best practices in multi-threading, concurrency, and microservices architecture.
 </li>
 <li>
 Drive architectural decisions to optimize performance across application, data, and infrastructure domains.
 </li>
 <li>
 Develop and deploy solutions on Azure, utilizing tools like SQL Server, Redis, App Services, and API Management.
 </li>
 <li>
 Create and maintain test automation frameworks to ensure data quality and service reliability.
 </li>
 <li>
 Mentor junior engineers and foster a collaborative team environment.
 </li>
 </ul>
 
 
 Job Qualifications
 
 
 
 
 
 
 
 Essential Qualifications:
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer engineering, Computer Science or related discipline, Master&rsquo;s Degree preferred
 </li>
 <li>
 7+ years of software development experience in Big Data
 </li>
 <li>
 7+ years of experience in modern programming languages - Java, Java-based frameworks (Spring, Maven), Python API
 </li>
 <li>
 3+ Years of experience in application, data, and infrastructure architecture disciplines
 </li>
 <li>
 3+ years of experience with multi-threading, concurrency, and highly scalable Microservices and REST web Services
 </li>
 <li>
 Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals
 </li>
 <li>
 Extensive experience with message driven software patterns such as Service Bus, Kafka, Tibco, EMS, and MQ
 </li>
 </ul>
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Experience working with other public cloud technologies Azure, AWS, GCP
 </li>
 <li>
 Strong communication skills to effectively present complex technical solutions to business and technical stakeholders.
 </li>
 <li>
 Experience in scripting languages (e.g., JavaScript, PowerShell, shell scripting, Regex).
 </li>
 <li>
 Experience building and supporting AL/ML software solutions
 </li>
 </ul>
 
 Prior experience in the Life Sciences industry or working with data and analytics in a similar
 
 
 
</div>

Software Engineer

Microsoft

<div>
 
 Overview
 
 
 
 Are you an experienced Data Scientist, and you love what you do? Would you like to be a part of a global customer facing Team focussed on solving complex, real-world business problems? Would you like to be a part of a worldclass community of technical leaders, highly specialised in their disciplines and working together as one to bring the best practices of Artificial Intelligence, Machine learning, Engineering and Architecture to world&rsquo;s largest enterprise customers?
 
 
 The Industry Solutions Delivery (ISD) Engineering &amp; Architecture Group (EAG) is a global engineering consulting organisation that supports our most complex and leading-edge customer engagements in improving their business performance with the power of Data &amp; AI.  EAG develops approaches, innovative solutions, and engineering standards to set our delivery teams and customers up for long-lasting success. We are committed to Responsible AI, and we help our customers build and operate ethical, transparent and trustworthy AI solutions.
 
 
 We are hiring a Data Scientist with deep experience in advanced statistical data analysis, machine learning and artificial intelligence.
 
 
 Our team embraces a continuous learning and growth mindset, encourages diverse viewpoints and relentless collaboration. We value personal and cultural experiences and strive for excellence. We offer a flexible work environment to help you succeed in creating transformative and responsible AI solutions that positively impact economy and people worldwide.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Leverage data science and business domain knowledge to improve business performance, evaluate project plans, communicate business goals, and share insights with stakeholders
 </li>
 <li>
 Acquire, prepare, and explore data through querying, visualisation, reporting techniques, and collaboration with other teams, ensuring data integrity.
 </li>
 <li>
 Apply machine learning and statistical analysis to develop models, train, optimise, and evaluate them, and communicate findings to stakeholders.
 </li>
 <li>
 Test, review, and improve models by analysing performance, incorporating feedback, and contributing to the review process.
 </li>
 <li>
 Write and debug efficient and scalable code while collaborating with engineering teams and integrate data models into customer systems.
 
 
 </li>
 </ul>
 Business Understanding and Impact
 
 
 Leverages understanding of data science and business to examine a project and consider factors that can influence final outcomes within a technical area. Evaluates project plan for resources, risks, contingencies, requirements, assumptions, and constraints. Documents key business objectives. Effectively communicates business goals in analytical and technical terms. Consistently shares insights with stakeholders.
 
 
 Data Preparation and Understanding
 
 
 Acquires necessary data for project completion and describes it using querying, visualization, and reporting techniques. Explores data for key attributes and contributes to development of quality reports. Collaborates with others to perform data-science experiments using established methodologies and tools. Partners with Solution Architects, Consultants, and Data Engineers in data preparation efforts. Identifies data integrity problems and adheres to Microsoft's privacy policy.
 
 
 Modeling and Statistical Analysis
 
 
 Applies machine learning knowledge to identify the best approach for project objectives, utilizing individual algorithms and modeling techniques. Selects the appropriate approach to prepare data, train, optimize, and evaluate the model for statistical and business significance. Writes scripts in SQL, Python, R, etc. Designs experiments, analyzes results, and communicates findings to stakeholders. Understands operational considerations for model deployment and partners with data engineering teams to develop operational models.
 
 
 Evaluation
 
 
 Understands the relationship between the model and business objectives. Tests models on test and production data, analyzes performance, and incorporates customer feedback. Reviews data analysis and modeling techniques to identify overlooked or reexamined factors. Contributes to the review summary.
 
 
 Industry and Research Knowledge/Opportunity Identification
 
 
 Learns and understands the current state of the industry, including knowledge of tools, techniques, strategies, and processes that can be utilized to improve process efficiency and performance. Maintains knowledge of current trends within the discipline. Attends internal research conferences and participates in on-hands training, when appropriate. Actively contributes to the body of thought leadership and intellectual property (IP) best practices.
 
 
 Coding and Debugging
 
 
 Writes efficient and readable code for specific features, collaborating with other engineering teams to optimize code and improve system efficiency, reliability, and maintainability. Develops expertise in debugging techniques and integrates data models into customer systems. Understands big-data software engineering concepts, such as Hadoop Ecosystem, Apache Spark, CI/CD, Docker, Delta Lake, MLflow, AML, and REST API consumption/development.
 
 
 Business Management
 
 
 Develops understanding of data structures and relationship to customer business goals, observes senior engineers for best practices in identifying growth opportunities and exploring ML applications. Understands customer business goals and demonstrates a strong commitment to Responsible AI, supporting customers, partners and internal stakeholders in building trustworthy AI solutions.
 
 
 Customer/Partner Orientation
 
 
 Focuses on customer needs, manages expectations, and enhances customer excellence. Learns from senior team members to develop insights and communicate results. Understands the impact of data quality on model accuracy and can explain it to customers.
 
 
 
 Other
 
 
 
 Embody our culture and values
 
 
 
 Qualifications
 
 
 
 
 Required/Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Operations Research, or a related field, with proven 4 years of data science experience in business context.
 </li>
 <li>
 Be able to work independently, solve complex data science problems, design and code maintainable and scalable solutions, and effectively apply data science to business challenges.
 </li>
 <li>
 Hands-on software engineering experience (e.g. Python, Scikit, PyTorch,C++) with main established data science frameworks.
 
 
 </li>
 </ul>
 
 Additional Or Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiarity with building and deploying largescale AI solutions into production within a cloud environment
 </li>
 <li>
 Experience dealing with internal and external stakeholders on large, complex projects.
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Data Scientist 2

Tata Consultancy Services

<div>
 
 Dear Candidates,
 
 
 Greeting from TCS!!!
 
 
 TCS is looking for Data Scientist
 
 
 Experience: 6-10 years
 
 
 Location: Hyderabad / Chennai
 
 
 
 
 
 MUST HAVE SKILLS:
 
 <ul>
 <li>
 Experience in building, deploying AI/ML solution using Cloudera Data Science workbench, model performance monitoring on real time &amp; remediation
 </li>
 <li>
 Python, R etc.
 </li>
 <li>
 Good knowledge of ML in customer analytics using segmentation, CLV, Cross-up sell model, propensity model etc.
 </li>
 <li>
 Good knowledge of end-to-end data science implementation including data ingestion, integration
 </li>
 <li>
 Good knowledge on channel performance, marketing strategies &amp; Optimize customer acquisition efforts
 </li>
 </ul>
 
 
 
 
 GOOD TO HAVE SKILL:
 
 <ul>
 <li>
 Masters degree in a quantitative discipline.
 </li>
 <li>
 MLOps/ DevOps
 </li>
 <li>
 BI tools like Power BI
 </li>
 </ul>
 
 
 
 
 ROLES AND RESPONSIBILITIES:
 
 <ul>
 <li>
 Ability to tailor communications to a variety of internal and external audiences.
 </li>
 <li>
 Distinctive problem-solving and analytical skills with a high degree of analytical rigor.
 </li>
 <li>
 Effective written and verbal communication and interpersonal skills.
 </li>
 <li>
 Ability to engage with senior C-level business leaders.
 </li>
 <li>
 Calm under pressure, ability to juggle multiple priorities and ambiguity.
 </li>
 <li>
 Strategic mindset, strong project management skills, keen business acumen and the ability to thrive in a rapid paced environment on multiple projects with many stakeholders
 </li>
 <li>
 Conduct deep dive diagnostic analysis on current business performance to understand business drivers, design hypothesis trees, and develop Root Cause Analysis
 </li>
 <li>
 Use Data Science and Advanced Analytics (Cluster analysis, Segmentation, Text mining, Regression Modeling, Logistic Regressions) to help generate actionable insights and recommendations and inform decision making on Cloud Marketing performance.
 </li>
 <li>
 Serve as a SME and Design insightful tests (test length, KPIs, AB test vs. MVT etc., Statistical Test to use.) that adhere to testing best practices.
 </li>
 <li>
 Develop coherent end to end problem structures ranging from objective function, key hypothesis, success KPIs, Drivers Tree and Analytics approach
 </li>
 <li>
 Collaborate with business partners to validate hypotheses and help stakeholders to think about optimization opportunities and future test plans
 </li>
 </ul>
 
 
</div>

Data Scientist

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders.
 
 
 
 In Your Role, You May Be Responsible For
 
 
 
 <ul>
 <li>
 Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data &amp; incorporating machine learning. techniques in your projects
 </li>
 <li>
 Writing programs to cleanse and integrate data in an efficient and reusable manner
 </li>
 <li>
 Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors
 </li>
 <li>
 Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions.
 </li>
 <li>
 Evaluating modelling results and communicating the results to technical and non-technical audiences
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
 </li>
 <li>
 Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
 </li>
 <li>
 Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC
 </li>
 <li>
 Document solution architectures, design decisions, implementation details, and lessons learned.
 </li>
 <li>
 Create technical documentation, white papers, and best practice guides
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face.
 </li>
 <li>
 Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms
 </li>
 <li>
 Experience and working knowledge in COBOL &amp; JAVA would be preferred
 </li>
 </ul>
</div>

Data Scientist-Artificial Intelligence

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