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associate, ml data operations, go-ai operations Jobs in Hyderabad India

associate, ml data operations, go-ai operations

assurance - risk modeling services- ai data scientist- senior associate Jobs in Hyderabad India

assurance - risk modeling services- ai data scientist- senior associate

data analysis & reporting associate analyst Jobs in Hyderabad India

data analysis & reporting associate analyst

data scientist go jc 1384 2025

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

<div>
 
 Job Description
 
 
 
 15 years� experience in Sourcing and Procurement
 
 
 End To End Execution Of Contracts Or Strategic Sourcing Including RFX, SOW, Negotiations, Red Lininng, Insurance, Legal, Cross Functional Team Management, PRPO, PO Management, Expediting Maintain SLA, KPIs, NPS As Defined Identify Opportunities In Area Of Automation, Transformation, Efficiency Improvement Drive Cost Saving Initiatives &amp; Achieve Cost Savings In Contractual &amp; Supplier Negotiations Must Have Experience In Following Tail Spend Categories
 
 
 Professional Services, IT Software, Hardware, Travel, Insurance, Marketing, HR, Telecom, Print, Facilities, etc.
 
 
 
 Skills Required
 
 
 
 RoleSenior Manager- S&amp;P operations
 
 
 Industry TypeITES/BPO/KPO
 
 
 Functional AreaITES/BPO/Customer Service
 
 
 Required Education Bachelors degree
 
 
 Employment TypeFull Time, Permanent
 
 
 Key Skills
 
 
 <ul>
 <li>
 OPERATIONS
 </li>
 <li>
 SOURCING AND PROCUREMENT
 
 
 </li>
 </ul>
 Other Information
 
 
 Job CodeGO/JC/1110/2025
 
 
 Recruiter NameMaheshwari Balasubramanian
</div>

Senior Manager- S&P operations - GO/JC/1110/2025

<div>
 
 Job Description
 
 
 
 Associate/Senior Associate - Accounts Payable
 
 
 We are seeking an experienced Associate/Senior Associate - Accounts Payable to join our team. The ideal candidate will have a strong background in accounts payable, with experience in managing purchase orders, purchase requisitions, and invoice processing.
 
 
 Location
 
 
 Chennai
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Manage and process purchase orders, purchase requisitions, and invoices in a timely and accurate manner.
 </li>
 <li>
 Perform 2-way and 3-way matching to ensure accurate and efficient payment processing.
 </li>
 <li>
 Create and maintain purchase orders, purchase requisitions, and invoices in the accounting system.
 </li>
 <li>
 Process and verify invoices for accuracy and completeness.
 </li>
 <li>
 Communicate with vendors and internal stakeholders to resolve any discrepancies or issues.
 </li>
 <li>
 Maintain accurate and up-to-date records of accounts payable transactions.
 </li>
 <li>
 Identify and implement process improvements to increase efficiency and reduce costs.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 2-7 years of experience in accounts payable, preferably in an industry setting.
 </li>
 <li>
 Strong knowledge of accounts payable processes, including purchase order creation, purchase requisition management, and invoice processing.
 </li>
 <li>
 Experience with 2-way and 3-way matching, and ability to identify and resolve discrepancies.
 </li>
 <li>
 Excellent communication and interpersonal skills, with ability to work with vendors and internal stakeholders.
 </li>
 <li>
 Strong analytical and problem-solving skills, with ability to identify and implement process improvements.
 </li>
 <li>
 Proficiency in accounting software, such as SAP or Oracle.
 
 
 </li>
 </ul>
 
 Skills Required
 
 
 
 RoleAssociate/ Senior Associate - Accounts Payable
 
 
 Industry TypeIT Services &amp; Consulting
 
 
 Functional AreaFinance/Accounts/Taxation
 
 
 Required Education B.Com
 
 
 Employment TypeFull Time, Permanent
 
 
 Key Skills
 
 
 <ul>
 <li>
 ACCOUNT PAYABLE
 </li>
 <li>
 INVOICE BILLING
 </li>
 <li>
 INVOICEPROCESSING
 </li>
 <li>
 PURCHASE ORDER
 </li>
 <li>
 PURCHASE ORDER CREATION
 </li>
 <li>
 PURCHASE REQUISITION
 
 
 </li>
 </ul>
 Other Information
 
 
 Job CodeGO/JC/1309/2025
 
 
 Recruiter NamePriya Srinivasan
</div>

Associate/ Senior Associate - Accounts Payable - GO/JC/1309/2025

PI Health Sciences Ltd

<div>
 
 
 Job Title: Research Scientist / Senior Research Scientist &ndash; Process R&amp;D
 
 
 
 
 Department:
 
 R&amp;D &ndash; Process Development
 
 
 
 Industry:
 
 CDMO / API
 
 
 
 
 
 
 Purpose of the Role:
 
 
 
 To lead and execute the development, optimization, and scale-up of robust, cost-effective, and regulatory-compliant chemical processes for Active Pharmaceutical Ingredients (APIs) and intermediates, ensuring smooth technology transfer from lab to kilo lab and manufacturing.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 1. Strategic Responsibilities
 
 
 <ul>
 <li>
 Drive innovation by designing synthetic routes that align with project timelines and regulatory requirements.
 </li>
 <li>
 Contribute to technology differentiation strategies that enhance the CDMO&rsquo;s scientific credibility and client value proposition.
 </li>
 <li>
 Collaborate with cross-functional teams (Analytical, QA/QC, and Regulatory) to support integrated drug development solutions.
 </li>
 </ul>
 
 
 2. Operational Responsibilities
 
 
 <ul>
 <li>
 Perform route scouting and literature searches, and develop robust and scalable chemical processes using QbD principles.
 </li>
 <li>
 Conduct laboratory experiments for reaction optimization, impurity profiling, and process safety assessment.
 </li>
 <li>
 Prepare and review technical reports, SOPs, and technology transfer documents.
 </li>
 <li>
 Ensure compliance with GMP/GLP and EHS standards during lab-scale and pilot-scale operations.
 </li>
 <li>
 Participate in troubleshooting during scale-up or commercial production batches and provide technical support during client audits.
 </li>
 </ul>
 
 
 3. Financial Responsibilities
 
 
 <ul>
 <li>
 Optimize process economics by reducing cycle time, yield improvement, and minimizing raw material costs.
 </li>
 <li>
 Support cost estimation activities during project proposals or client RFQs by providing technical insights.
 </li>
 </ul>
 
 
 4. People &amp; Collaboration Responsibilities
 
 
 <ul>
 <li>
 Guide junior team members on experimental planning, data interpretation, and documentation best practices.
 </li>
 <li>
 Promote a culture of safety, learning, and innovation within the team.
 </li>
 <li>
 Work closely with program management and business development to align project goals with customer expectations.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 M.Sc. (Organic Chemistry) / PhD
 </li>
 <li>
 3&ndash;7 years of experience in Process R&amp;D, preferably in CDMO organizations
 </li>
 <li>
 Hands-on expertise in synthesis, scale-up, impurity profiling, and technology transfer
 </li>
 <li>
 Familiarity with analytical techniques (HPLC, GC, NMR) and regulatory documentation
 </li>
 </ul>
 
 
</div>

Research Scientist

<div>
 
 
 Job Summary:
 
 
 
 We are looking for a results-driven
 
 Data Scientist
 
 with a strong foundation in
 
 SQL
 
 and
 
 Python
 
 , coupled with hands-on experience in
 
 AI/ML
 
 and exposure to
 
 Generative AI (GenAI)
 
 technologies. The ideal candidate will work on developing predictive models, building data pipelines, and experimenting with GenAI tools to solve business challenges and enhance decision-making.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design and implement
 
 AI/ML models
 
 for a variety of business use cases, including prediction, classification, clustering, and personalization.
 </li>
 <li>
 Extract, clean, and manipulate large datasets using
 
 SQL
 
 and
 
 Python
 
 for model development and analysis.
 </li>
 <li>
 Apply and experiment with
 
 Generative AI
 
 techniques (e.g., LLMs, text generation, summarization, prompt engineering) for emerging business needs.
 </li>
 <li>
 Build scalable data pipelines and automate data workflows.
 </li>
 <li>
 Work collaboratively with cross-functional teams to define project goals and deliver actionable insights.
 </li>
 <li>
 Communicate analytical results and technical concepts to both technical and non-technical stakeholders.
 </li>
 <li>
 Stay current with advancements in
 
 AI/ML
 
 and
 
 GenAI
 
 technologies and frameworks.
 </li>
 </ul>
 
 
 
 
 
 Required Skills:
 
 
 <ul>
 <li>
 Strong programming skills in
 
 Python
 
 with experience in libraries like
 
 Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch
 
 .
 </li>
 <li>
 Proficiency in
 
 SQL
 
 for data extraction, joins, and optimization.
 </li>
 <li>
 Solid understanding of machine learning algorithms and data science best practices.
 </li>
 <li>
 Experience handling structured and unstructured data.
 </li>
 <li>
 Exposure to
 
 Generative AI
 
 tools and frameworks (e.g., OpenAI APIs, Hugging Face, LangChain).
 </li>
 <li>
 Familiarity with data visualization tools and cloud platforms (AWS, GCP, Azure) is a plus.
 </li>
 </ul>
 
 
</div>

Data Scientist

Thomson Reuters

<div>
 Want to be part of the Marketing Data &amp; Analytics organization, whose strategic goal is to create a world-class Data &amp; Analytics company by building, embedding, and maturing a data-driven culture across Thomson Reuters.
 
 
 We are looking for a highly motivated individual with strong organizational and technical skills for the position of Data Scientist. You will play a critical role working on cutting edge of analytics, leveraging predictive models, machine learning and generative AI to drive business insights and facilitating informed decision-making and help Thomson Reuters rapidly scale data-driven initiatives.
 
 
 
 About The Role
 
 
 
 In this opportunity as Data Scientist, you will:
 
 
 <ul>
 <li>
 Engage with stakeholders, business analysts and project team to understand the data requirements.
 </li>
 <li>
 Work closely with Marketing Business Intelligence group.
 </li>
 <li>
 Work in multiple Marketing domain areas including Demand Generation, Paid Media, Campaign Planning, Digital Activation, Marketing Automation.
 </li>
 <li>
 Design analytical frameworks to provide insights into a business problem.
 </li>
 <li>
 Explore and visualize multiple data sets to understand data available and prepare data for problem solving.
 </li>
 <li>
 Build machine learning models and/or statistical solutions.
 </li>
 <li>
 Build predictive models, generative AI solutions.
 </li>
 <li>
 Use Natural Language Processing to extract insight from text.
 </li>
 <li>
 Design database models (if a data mart or operational data store is required to aggregate data for modelling).
 </li>
 <li>
 Design visualizations and build dashboards in Tableau and/or PowerBI.
 </li>
 <li>
 Extract business insights from the data and models.
 </li>
 <li>
 Present results to stakeholders (and tell stories using data) using power point and/or dashboards.
 
 
 
 </li>
 </ul>
 
 About You
 
 
 
 You're a fit for the role of Data Scientist if your background includes:
 
 
 <ul>
 <li>
 Experience- 6-10 Years in the field of Machine Learning &amp; AI
 </li>
 <li>
 Must have a minimum of 3 years of experience working in the data science domain
 </li>
 <li>
 Degree preferred in a quantitative field (Computer Science, Statistics, etc.)
 </li>
 <li>
 Both technical and business acumen is required
 </li>
 <li>
 Technical skills
 </li>
 <li>
 Proficient in machine learning, statistical modelling, data science and generative AI techniques
 </li>
 <li>
 Highly proficient in Python and SQL
 </li>
 <li>
 Experience with Tableau and/or PowerBI
 </li>
 <li>
 Has worked with Amazon Web Services and Sagemaker
 </li>
 <li>
 Ability to build data pipelines for data movement using tools such as Alteryx, GLUE
 </li>
 <li>
 Experience Predictive analytics for customer retention, upsell/cross sell products and new customer acquisition, Customer Segmentation, Recommendation engines (customer and AWS Personalize), POC&rsquo;s in building Generative AI solutions (GPT, Llama etc.,)
 </li>
 <li>
 Hands on with Prompt Engineering
 </li>
 <li>
 Experience in Marketing domains like Demand Generation, Paid Media, Campaign Planning, Digital Activation, Marketing Automation.
 </li>
 <li>
 Additional Technical skills include Familiarity with Natural Language Processing including Feature Extraction techniques, Word Embeddings, Topic Modelling, Sentiment Analysis, Classification, Sequence Models and Transfer Learning
 </li>
 <li>
 Knowledgeable of AWS APIs for Machine Learning
 </li>
 <li>
 Has worked with Snowflake extensively.
 </li>
 <li>
 Good presentation skills and the ability to tell stories using data and Powerpoint/Dashboard Visualizations.
 </li>
 <li>
 Ability to communicate complex results in a simple and concise manner at all levels within the organization.
 
 
 
 </li>
 </ul>
 
 What&rsquo;s in it For You?
 
 
 
 <ul>
 <li>
 Hybrid Work Model: We&rsquo;ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
 </li>
 <li>
 Flexibility &amp; Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
 </li>
 <li>
 Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow&rsquo;s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
 </li>
 <li>
 Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
 </li>
 <li>
 Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
 </li>
 <li>
 Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
 </li>
 <li>
 Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
 
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
 
 
 We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
 
 
 As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
 
 
 We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.
 
 
 Learn more on how to protect yourself from fraudulent job postings here.
 
 
 More information about Thomson Reuters can be found on thomsonreuters.com.
 
 
</div>

Brace Infotech Private Ltd

<div>
 
 Looking for Immediate Joiners
 
 
 
 
 
 Seeking a highly skilled Data Scientist with a strong background in Mechanical Engineering to analyze telemetry data and develop statistical models for identifying and predicting anomalies within the mechanical and electrical infrastructure of data centers.
 
 
 &middot; Design, deploy, and maintain statistical and machine learning models to analyze real-time telemetry data from critical mechanical systems, including HVAC (AHU/MAU/CRAC/CRAH/RTU), cooling units, chillers, water chemistry, server floor cooling infrastructure, process cooling (MCU/PCU)/CUBs, and wastewater treatment.
 
 
 &middot; Leverage expertise in mechanical systems to understand equipment behavior, identify anomalies, and contribute to root cause analysis, including understanding key steps in mechanical maintenance.
 
 
 &middot; Develop equations and logic based on control flow, temperature, pressure, and flux for deployed systems, and apply statistical process control to identify mechanical failures within those systems.
 
 
 &middot; Monitor and interpret model outputs to proactively identify and investigate early indicators of equipment degradation, performance deviations, and potential failures.
 
 
 &middot; Collaborate closely with data center operations and engineering teams to validate detected anomalies, conduct comprehensive root cause analysis, and recommend effective corrective actions.
 
 
 &middot; Develop and manage insightful dashboards and reports to visualize key metrics and provide actionable insights to stakeholders.
 
 
 &middot; Continuously refine and enhance anomaly detection algorithms based on new data, feedback from field operations, and evolving industry best practices.
 
 
 Document all findings, analysis methodologies, and resolution steps to contribute to a comprehensive knowledge base for the program.
 
 
 &middot; Bachelor's or Master's Degree in Mechanical Engineering, Systems Engineering, or a related field, with demonstrated experience in Data Science, Computer Science Engineering, or equivalent.
 
 
 &middot; Proven experience in data analysis, statistical modeling, and machine learning.
 
 
 &middot; Strong proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).
 
 
 &middot; In-depth knowledge of data center mechanical infrastructure, including HVAC systems (AHU/MAU/CRAC/CRAH/RTU), cooling units, chillers, water chemistry, server floor cooling infrastructure, process cooling (MCU/PCU)/CUBs, and wastewater treatment.
 
 
 &middot; Exceptional problem-solving abilities and the capacity to work both independently and as a vital member of a cross-functional team.
 
 
 &middot; Excellent communication skills, with the ability to translate complex data findings into clear, actionable recommendations for a non-technical audience.
 
 
 &middot; Strong knowledge with fundamental concepts such as heat transfer, fluid dynamics, and thermodynamics as they apply to cooling systems, including an understanding of refrigerants and coolants.
 
 
 &middot; Critical experience with telemetry data, various sensor types, and their outputs (e.g., temperature, pressure, flow rate) for effective interpretation of raw data feeding anomaly detection models.
 
 
 &middot; Ability to utilize analytical findings to diagnose potential mechanical issues, such as pump failures, leaks, or valve malfunctions. Experience with root cause analysis is a strong plus.
 
</div>

Explore 167+ Data scientist go jc 1384 2025 in Hyderabad India this November. Find roles across top companies and apply now to boost your career.

167 data scientist go jc 1384 2025 jobs IN Hyderabad India

Data Scientist - GO/JC/1384/2025

Senior Manager- S&P operations - GO/JC/1110/2025

Associate/ Senior Associate - Accounts Payable - GO/JC/1309/2025

Research Scientist

Data Scientist

Data Scientist

Data Scientist