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associate, ml data operations, go-ai operations Jobs in Pune

associate, ml data operations, go-ai operations

data analyst

data analyst (analytics) - career Jobs in Pune

data analyst (analytics) - career

data analyst (analytics) - intermediate Jobs in Pune

data analyst (analytics) - intermediate

data scientist

Peoplefy

<div>
 
 
 Job Details:
 
 
 
 
 
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 📢 Job Title: Data Scientist III
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 📍 Job Location: Pune
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 👉Job Type: Full-Time (Hybrid)
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 ✔️Notice Period: Immediate- 45 Days (or Serving NP)
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 👨 💼Experience Required: 3.5 Years- 7 Years
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 Responsibilities:
 
 
 
 
 
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 You will be involved in the delivery of robust, scalable ML solutions by assisting more senior data scientists in the development of detailed problem statements outlining hypotheses and effects on target clients, analysis and summarization of datasets, data selection and transformation, ML model training, and examination of model performance.
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 You will pursue effective relationships by sharing resources, information, and knowledge, receive and learn from feedback, and assess and respond to the needs of others to support a business outcome.
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 You will plan and schedule your work with minimal direction, and exercise judgment and discretion in resolving and developing solutions for both standard and nonstandard problems, interpreting broad guidelines to identify a resolution
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 Preferred Qualification:
 
 
 
 
 
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 Experience in healthcare or Finance or Banking and a matrixed organization.
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 Experience working with exploratory data analysis and visualization methods.
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 Experience with machine learning and/or algorithms, ML Models.
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 Experience with statistical analysis and Modeling or Statistical Techniques.
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 Programming experience (Python) in a paid or unpaid environment
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 Experience with any one ML frameworks such as Scikit-Learn, TensorFlow, or Keras or similar.
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 Experience with numeric, imaging, and textual data wrangling and visualization.
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 Experience with GenAI and training LLM's (LLM,RAG Architecture) OR Operation Research(Linear Programming, Or-Tools, Gurobi)
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 Good Knowledge in Numeric, Imaging Textual data Wrangling &amp; Visualization.
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</div>

Data Scientist III

<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
 
 
 
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 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.
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 In your role, you may be responsible for:
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 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
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 Writing programs to cleanse and integrate data in an efficient and reusable manner
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 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
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 Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions.
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 Evaluating modelling results and communicating the results to technical and non-technical audiences.
 
 
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 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
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 Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
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 Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
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 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
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 Document solution architectures, design decisions, implementation details, and lessons learned.
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 Create technical documentation, white papers, and best practice guides.
 
 
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 Preferred Technical And Professional Experience
 
 
 
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 Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face.
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 Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms
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 Experience and working knowledge in COBOL &amp; JAVA would be preferred.
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</div>

Data Scientist-Artificial Intelligence

Zensar Technologies

<div>
 
 Job Description
 
 
 
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 Lead the development and optimization of ASR (Automatic Speech Recognition), TTS (Text-to-Speech), NLU (Natural Language Understanding), and LLM-based components for conversational AI applications.
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 Architect and implement data pipelines for training, evaluating, and deploying speech and language models at scale.
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 Develop and fine-tune speech recognition, text-to-speech, and natural language understanding (NLU) models.
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 Evaluate and optimize ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) engines for accuracy, latency, and user experience.
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 Integrate LLMs (e.g., Open AI, GPT, PaLM, BERT, Claude) into conversational workflows to enhance contextual understanding and response generation.
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 Strong experience with NLP frameworks (spaCy, Transformers) and LLMs.
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 Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
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 Design and implement speech analytics solutions for: call categorization, call tagging, sentiment analysis and trend analysis
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 </ul>
</div>

Data Scientist India _Pune..., 1 Position

Quess IT Staffing

<div>
 
 Position: Data Analyst
 
 
 Location: Pune
 
 
 Duration: Contract to Hire
 
 
 
 
 
 Job Description:
 
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 Scripting
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 Real scripting experience in Bash or Python or Perl
 
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 Self-confident in automation, monitoring script implementation
 
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 Zabbix and Icinga monitoring knowledge
 
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 Nice to have: jenkins
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 Data analyst
 
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 Oracle SQL data query
 
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 Excel Pivots + Power BI data presention
 
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 Email automation for reminders (VBA, powershell, Microsoft script, Power automate...)
 
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</div>

Data Analyst @ Pune

Equifax

<div>
 
 What You&rsquo;ll Do
 
 
 
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 Works in Data and Analytics to independently design projects to meet business needs
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 Leverage advanced techniques to create code that is optimized, efficient, repeatable and scalable
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 Use analytical insights to develop solutions, improved processes and work with counterparts in the business to implement proposed solutions
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 Understand ingestion prioritizations, analyze, understand and prepare complex and new data sources and incorporate them into project design. Acts as a domain and/or technical lead to more junior members
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 Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users
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 Solve complex internal or customer analytical problems across various business domains and areas of expertise
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 Ability to talk to impact and strategic importance of findings on the business (either Equifax or external customer) and recommend appropriate course of action; ability to advocate to implementation of solutions and improved processes as well as share the qualitative and quantitative elements to drive value and share the "so what' out of the analysis being performed.
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 Ensure proper use of Equifax data assets by working closely with data governance and compliance professionals
 
 
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 What Experience You Need
 
 
 
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 BS degree in a STEM major or equivalent discipline
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 5-7 years of experience in a related analyst role
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 Cloud certification strongly preferred
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 Technical capabilities including SQL, BigQuery, R, Python, MS Excel / Google Sheets, Tableau, Looker
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 Experience working as a team and collaborating with others on producing descriptive and diagnostic analysis. Experience working with non-technical partners to explore new capabilities and data monetisation opportunities
 
 
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 What Could Set You Apart
 
 
 
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 Demonstrates technical competence and business acumen with advanced data analysis techniques including statistical analysis, data mining, data visualization, BI Tools, time series analysis
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 Proficiency in Data Management &amp; Big Data tools : ETL for data integration and cleansing. Experience with cloud databases and storage. Familiar with big data frameworks with experience in handling large-scale datasets and big data analysis
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 Knowledge and in-depth understanding of relational database management systems
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 Experience in Data Visualization through creation of designing clear, effective charts and dashboards, data story telling that help stakeholders understand complex data.
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 Experience in Data Governance and quality management
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 Great stakeholder communication, excellent interpersonal skills with an ability to communicate complex analytic findings to non-technical audience
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 Strong numeracy skills.
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 High level of attention to detail.
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 Ability to work independently on complex and demanding projects.
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 A willingness to learn new applications and systems.
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 Project Management skills with ability to organise tasks and man age time to consistently meet deadlines.
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 Big picture thinking, dynamic problem-solving, forecasting and predictive skills
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 Experience with Agile Methodology and request/issue queue management
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 Experience in machine learning or predictive analytics, to model future outcomes or automate processes
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 Experience with Comprehensive Credit Reporting
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 Understanding of Equifax or similar products
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</div>

Data Analyst (Analytics) - Career

Red Hat

<div>
 Red Hat&rsquo;s Global Sales Go-To-Market Strategy, Incentives &amp; Data Analytics team is looking for a Data Analyst to support efforts in improving the quality, accuracy, and trustworthiness of sales and renewals data. In this role, you will help implement data validation checks, monitor data pipelines, and support dashboard development to ensure consistent, timely, and audit-ready datasets for use in sales planning, forecasting, and performance tracking.
 
 
 This is a great opportunity for an early-career professional with a strong foundation in data analysis and a passion for problem-solving and process improvement. You&rsquo;ll work closely with teams across Sales, Operations, and Finance to identify issues, support data governance processes, and help drive insights that influence key business decisions.
 
 
 
 What Will You Do
 
 
 
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 Support daily data validation processes to ensure high accuracy and completeness of renewals and sales data
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 Assist in maintaining submission calendars, running daily health checks, and contributing to monthly and quarterly lock processes.
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 Identify and escalate data quality issues, inconsistencies, or missing information through regular monitoring and reporting
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 Collaborate with cross-functional teams to help define and apply business rules and standard definitions for renewals data
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 Contribute to dashboards and reporting used by leadership to monitor renewal performance, pipeline accuracy, and quota alignment.
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 Assist in the digitization and automation of manual workflows to improve process efficiency and data consistency
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 Participate in initiatives to improve data visibility, including stakeholder communication and documentation of logic and metrics
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 Learn and apply tools and methods to support proactive governance and compliance in sales data reporting
 
 
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 What Will You Bring
 
 
 
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 3&ndash;5 years of experience in data analysis, business intelligence, or sales operations, preferably in a technology sales environment
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 Strong foundation in SQL and Excel/Google Sheets; experience with tools like Python or R is a plus
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 Familiarity with data visualization platforms (e.g., Tableau, Looker, Power BI)
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 Solid understanding of data quality concepts, validation techniques, and structured reporting
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 Ability to work independently and collaboratively, with strong attention to detail and communication skills
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 Bachelor&rsquo;s degree in a relevant field (e.g., Data Science, Analytics, Economics, Business, or similar)
 
 
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 About Red Hat
 
 
 
 Red Hat is the world&rsquo;s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
 
 
 
 Inclusion at Red Hat
 
 
 
 Red Hat&rsquo;s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
 
 
 
 Equal Opportunity Policy (EEO)
 
 
 
 Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
 
 
 Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.
 
 
 Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.
</div>

Data Analyst

<div>
 
 What You&rsquo;ll Do
 
 
 
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 Works independently within Data and Analytics with limited design help from manager or senior associates
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 Leverage coding best practices and advanced techniques to ensure efficient execution of code against large datasets, ensuring code is repeatable and scalable
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 Run, create and optimize standard processes to ensure metrics, reports and insights are delivered consistently to stakeholders with minimal manual intervention
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 Leverage knowledge of data structures to prepare data for ingestion efforts, analysis, assembling data from disparate data sources for the creation of insights; accurately integrate new and complex data sources
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 Integrate Equifax, customer and third party data to solve internal or customer analytical problems of moderate complexity and report findings to managers and stakeholders
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 Review output of code for anomalies and perform analysis to determine cause, and work with Data, Analytics, Product and Technology counterparts to implement corrective measures
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 Ability to communicate impacts and importance of findings on the business (either Equifax or external customer) and recommend appropriate course of action. Understands the concepts of quantitative and qualitative data and how to relate them to the customer to show value of analysis.
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 Ensure proper use of Equifax data assets by working closely with data governance and compliance professionals
 
 
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 </ul>
 
 What Experience You Need
 
 
 
 BS degree in a STEM major or equivalent discipline
 
 
 <ul>
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 2-5 years of experience in a related analyst role
 </li>
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 Cloud certification strongly preferred
 </li>
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 Technical capabilities including SQL, BigQuery, R, Python, MS Excel / Google Sheets, Tableau, Looker
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 Experience working as a team and collaborating with others on producing descriptive and diagnostic analysis
 
 
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 </ul>
 
 What Could Set You Apart
 
 
 
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 Cloud certification such as GCP strongly preferred
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 Self Starter
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 Excellent communicator / Client Facing
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 Ability to work in fast paced environment
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 Flexibility work across A/NZ time zones based on project needs
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</div>

Data Analyst (Analytics) - Intermediate

Explore 73+ Data scientist in Pune this September. Find roles across top companies and apply now to boost your career.