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data engineer – python Jobs in Hyderabad India

data engineer – python

data science engineer Jobs in Hyderabad India

data science engineer

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>
 
 Job Reference #
 
 
 322763BR
 
 
 
 Job Type
 
 
 Full Time
 
 
 
 Your role
 
 
 Are you analytical and passionate about building and using data-driven decision making systems? Do you have an innovative engineering mindset? Do you enjoy using cutting edge technology and developing a variety of solutions to achieve your goals?
 
 
 We are looking for a hands-on Data Engineer who would join UBS Group Technology in the build-out and implementation of the firms Enterprise Data Mesh to make a step change in the management of data in the bank.
 
 
 You will:
 
 
 <ul>
 <li>
 Build an enterprise data mesh linking our data
 </li>
 <li>
 Ensure Data Architecture for IT enables transition to real time access to data
 </li>
 <li>
 Institute 'knowledge-as-a-service' approach &ndash; allowing management of the technical landscape
 
 
 </li>
 </ul>
 
 Your team
 
 
 You will be part of a nimble and multi-disciplinary Data Engineering team within Group CTO working closely with specialists across multiple areas of Group Technology. We are providing the foundation for data-driven technology management &ndash; facilitating processes starting from strategic and architecture planning, to demand management - all the way to development and deployment.
 
 
 The team is global based primarily in India, Switzerland, UK and the US.
 
 
 
 Your expertise
 
 
 You have:
 
 
 <ul>
 <li>
 Having at least 12+ years experience with a great track record delivering hands-on development and design of data platforms; ideally API-driven data/knowledge-as-a-service solutions.
 </li>
 <li>
 Strong command of Python. Should be well versed implementing python code using object oriented principles, functional programming &amp; data structures.
 </li>
 <li>
 Good knowledge on SQL query implementation and database concepts.
 </li>
 <li>
 Knowledge around working with data storage technologies open table formats like delta lakes, iceberg.
 </li>
 <li>
 Experience building modern solutions using Azure cloud native technologies.
 </li>
 <li>
 Able to understand and work on compute technologies for big data processing.
 </li>
 <li>
 Command of application, data and infrastructure architecture disciplines
 </li>
 <li>
 Experience working in delivery-oriented agile teams.
 
 
 </li>
 </ul>
 Desired:
 
 
 <ul>
 <li>
 Strong command of Python. Other languages are desirable (Java,Scala etc)
 </li>
 <li>
 Hands-on experience with Spark &amp; SQL technologies
 </li>
 <li>
 Exposure to cloud development with Azure and or AWS
 </li>
 <li>
 Experience designing RESTful and GraphQL APIs
 </li>
 <li>
 Familiarity with Data Warehousing, logging, alerts and infrastructure set up
 </li>
 <li>
 Prior experience as a Data Platform Engineer or Data Architect
 </li>
 <li>
 Financial Services background is advantageous, but not mandatory
 </li>
 <li>
 Experience delivering solutions for Data Analytics users of e.g. Tableau, PowerBI
 </li>
 <li>
 Experience with Machine Learning and Artificial Intelligence is a plus
 
 
 </li>
 </ul>
 You are:
 
 
 <ul>
 <li>
 Willing to take full ownership of the problem and code, and can hit the ground running and deliver great solutions
 </li>
 <li>
 A strong thinker that sees problems around the corner and resolves them
 </li>
 <li>
 Adept in communicating with both technical and non-technical audiences
 
 
 </li>
 </ul>
 
 About Us
 
 
 UBS is the world&rsquo;s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal &amp; Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.
 
 
 We have a presence in all major financial centers in more than 50 countries.
 
 
 
 How We Hire
 
 
 
 We may request you to complete one or more assessments during the application process. Learn more
 
 
 
 Join us
 
 
 At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We&rsquo;re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. We also recognize that great work is never done alone. That&rsquo;s why collaboration is at the heart of everything we do. Because together, we&rsquo;re more than ourselves.
 
 
 We&rsquo;re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
 
 
 
 Disclaimer / Policy Statements
 
 
 UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
</div>

Data Engineer – Python

Microsoft

<div>
 
 Overview
 
 
 
 We are seeking a passionate and technically skilled Data Scientist II to join the Commerce &ndash; Platforms, Data, and Experiences (PDX) team. This team plays a pivotal role in shaping Microsoft&rsquo;s commerce data strategy, building scalable data platforms, and delivering actionable ML driven insights that drive business transformation across the ecosystem.
 
 
 As a Data Scientist II in PDX, you will work at the intersection of data engineering, data processing, and machine learning to solve complex business problems. You will collaborate with cross-functional teams to design experiments, build predictive models, and develop scalable solutions that enhance decision-making and customer experiences by producing descriptive, diagnostic, predictive and prescriptive insights.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement advanced analytics solutions to support commerce data platform initiatives including analytics based on Machine Learning Models.
 </li>
 <li>
 Partner with engineering and product teams to define data requirements and ensure high-quality data pipelines.
 </li>
 <li>
 Conduct exploratory data analysis, feature engineering, and model evaluation using structured and unstructured datasets.
 </li>
 <li>
 Ensure the models built are operable, scalable, extensible and performant.
 </li>
 <li>
 Develop dashboards, visualizations, and storytelling artifacts to communicate insights to stakeholders.
 </li>
 <li>
 Lead experimentation efforts to evaluate new features, forecasting, data quality and anomaly detection systems.
 </li>
 <li>
 Build extensible solutions on LLM models to improve productivity of engineers across the commerce organization.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, or related field.
 </li>
 <li>
 2+ years of experience in data science, analytics, or applied machine learning.
 </li>
 <li>
 Proficiency in Python, SQL, and ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Experience with cloud platforms (Azure preferred) and big data technologies.
 </li>
 <li>
 Strong understanding of statistical modeling, predictive analytics, and experimentation design.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 <li>
 Demonstrated experience leveraging AI tools and technologies to enhance engineering effectiveness, coupled with a strong curiosity and commitment to continuous learning in the field of Artificial Intelligence.
 
 
 </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 Science Engineer

HCLTech

<div>
 
 Experience- 5 to 10 years
 
 
 Location- HYD
 
 
 Work timings- 2 PM to 11 PM IST
 
 
 Working from client &ndash; all 5 days
 
 
 DBS/DBS-/2025/2778559
 
 
 
 
 
 We are looking for a skilled
 
 MLOps Engineer
 
 to join our team and help us build, deploy, and maintain robust and scalable machine learning systems. You will be responsible for the full lifecycle of our ML pipelines, from data ingestion to model serving. This is a hands-on role where you will design and implement automated workflows, ensure data quality, and manage model deployments in a production environment.
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 
 Data and Feature Pipelines:
 
 Design, build, and manage automated data ingestion, transformation, and validation pipelines using services like
 
 Kubeflow Pipelines
 
 and
 
 Vertex AI Pipelines
 
 .
 </li>
 <li>
 
 Feature Engineering:
 
 Implement and containerize feature engineering logic for diverse datasets, ensuring reusability and scalability.
 </li>
 <li>
 
 Data Validation:
 
 Integrate and manage data validation processes, including leveraging advanced techniques like
 
 AI Agents
 
 and the
 
 Generative Language API
 
 to automatically detect and remediate data quality issues.
 </li>
 <li>
 
 Model Training and Experimentation:
 
 </li>
 <li>
 Set up and maintain automated continuous training (
 
 CT
 
 ) pipelines using
 
 Vertex AI Pipelines
 
 (Schedules) and
 
 Cloud Scheduler
 
 .
 </li>
 <li>
 Implement
 
 experiment tracking
 
 to log and compare model parameters, metrics, and artifacts.
 </li>
 <li>
 Configure and execute
 
 Hyperparameter Tuning
 
 jobs using
 
 Vertex AI Training
 
 to optimize model performance.
 </li>
 <li>
 
 Model Management:
 
 Establish a robust
 
 Model Versioning
 
 system to manage and store model artifacts securely in a centralized repository (
 
 Cloud Storage
 
 ).
 </li>
 <li>
 
 Deployment and Serving:
 
 </li>
 <li>
 Containerize ML models and their dependencies using
 
 Docker
 
 and manage images with
 
 Artifact Registry
 
 .
 </li>
 <li>
 Build and maintain
 
 CI/CD
 
 workflows for ML models, ensuring seamless and automated deployment.
 </li>
 <li>
 Configure and manage low-latency production serving environments using
 
 Vertex AI Endpoints
 
 for real-time inference.
 </li>
 </ul>
 
 
</div>

Machine Learning Engineer

<div>
 
 Overview
 
 
 
 Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the skyisthelimit thinking in a cloud-enabled world. Microsoft&rsquo;s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging &amp; real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the databases team builds and maintains Microsoft's operational Database systems. We store and manage data in a structured way to enable multitude of applications across various industries. We are on a journey to enable developer friendly, mission-critical, AI enabled operational Databases across relational, non-relational and OSS offerings. Join our dynamic team at Azure Database for PostgreSQL, one of Microsoft Azure's latest additions to its exceptional lineup of relational database services. As we continue to expand our offerings and meet the ever-growing demands of our customers, we are seeking a Software Engineer II who thrives on the challenges that come with running online services. In this role you will manage projects that improve availability, scalability, query performance, storage and networking optimizations, and operating systems integration. You will have the opportunity to collaborate with partner teams, working across boundaries to create innovative first-party integrations for Open-Source Databases on Azure. We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Works with appropriate stakeholders (e.g., project manager, technical lead) to determine user requirements for a set of features. Begins to leverage a variety of feedback channels to incorporate insights into future designs or solution fixes. Incorporates appropriate continuous feedback loops measuring customer value, usage patterns, and other actionable metrics of value - Creates a clear and articulated plan for testing and assuring quality of solutions, and defines success for outcomes of tests (e.g., unit tests). Adds new tests, removes antiquated tests, and aggregates tests to improve tests in the feature area. Helps to drive efforts for augmenting test cases and ensures that the solution area has good test coverage. Helps to integrate automation features when planning for testing - Creates and implements code for a product, service, or feature, reusing code as applicable. Writes and learns to create code that is extensible and maintainable. Considers diagnosability, reliability, and maintainability with few defects, and understands when the code is ready to be shared and delivered. Applies coding patterns and best practices to write code - Maintains operations of live service as issues arise on a rotational, on-call basis. Identifies solutions and mitigations to simple issues and complex issues when applicable impacting performance or functionality of Live Site services and escalates as necessary - Remains current in skills by investing time and effort into staying abreast of current developments that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python or equivalent experience Other Requirements - Ability to meet Microsoft, customer and/or government security screening requirements arerequired for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check - This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter Preferred/Additional Qualifications - 4+ years of experience in developing and shipping system level features in an enterprise production backend server system. - Experience building Distributed Systems with reliable guarantees. - Understanding of data structures, algorithms, and distributed systems. - Solve problems by always leading with passion and empathy for customers. - Have a desire to work collaboratively, solve problems with groups, find win/win solutions and celebrate successes. - Enthusiasm, integrity, self-discipline, results-orientation in a fast-paced environment. Equal Opportunity Employer (EOP) Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form (Accessibility | Microsoft Careers). Benefits/perks listed below #azdat #azuredata #azdat #azureda
 
 
 </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>

Software Engineer II

NStarX

<div>
 As a Data Scientist at NStarX, you will play a key role in analysing large datasets, developing predictive models, and providing actionable insights that drive business decisions. You will collaborate with cross-functional teams to identify trends, build data-driven strategies, and contribute to the continuous improvement of our data processes.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collect, process, and analyse large datasets to identify trends, patterns, and insights that inform business strategies.
 </li>
 <li>
 Develop and deploy predictive models using statistical, machine learning, and deep learning techniques.
 </li>
 <li>
 Work closely with stakeholders to understand their data needs and translate business requirements into analytical solutions.
 </li>
 <li>
 Build and maintain data pipelines to ensure data quality and accessibility for analysis.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to uncover key insights and guide decision-making.
 </li>
 <li>
 Present findings and recommendations to both technical and non-technical audiences through reports, dashboards, and presentations.
 </li>
 <li>
 Collaborate with data engineers and software developers to integrate analytical solutions into production systems.
 </li>
 <li>
 Stay current with the latest developments in data science and machine learning and apply new techniques as appropriate.
 </li>
 <li>
 Contribute to the development and implementation of best practices for data analysis, modelling, and reporting.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
 </li>
 <li>
 At least 3 years of professional experience in data science or a related role.
 </li>
 <li>
 Proficiency in programming languages such as Python or R.
 </li>
 <li>
 Strong knowledge of statistical analysis, machine learning algorithms, and data visualisation tools.
 </li>
 <li>
 Experience with data manipulation and analysis using libraries such as Pandas, NumPy, and Scikit-learn.
 </li>
 <li>
 Familiarity with data visualisation tools such as Tableau, Power BI, or Matplotlib.
 </li>
 <li>
 Experience with SQL and NoSQL databases for data extraction and manipulation.
 </li>
 <li>
 Understanding of cloud platforms like AWS, Azure, or Google Cloud is a plus.
 </li>
 <li>
 Strong problem-solving skills and the ability to work independently and in a team.
 </li>
 <li>
 Excellent communication skills, with the ability to convey complex technical concepts to a non-technical audience.
 </li>
 <li>
 Detail-oriented with a focus on delivering high-quality, accurate work.
 </li>
 <li>
 Experience with big data technologies such as Hadoop, Spark, or Kafka.
 </li>
 <li>
 Knowledge of deep learning frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Experience with A/B testing and experimental design.
 </li>
 <li>
 Familiarity with version control systems such as Git.
 
 
 </li>
 </ul>
 This job was posted by Younus Shaik from NStarX.
</div>

Data Scientist

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

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