3811 Data Science Jobs - Page 28

Job Title: Data Analyst & BI Developer (SQL, Python, Tableau) Location: Bangalore Experience: 3-5 Years Job Summary: We are seeking a skilled Data Analyst & BI Developer (SQL, Python, Tableau) to join our data team. The ideal candidate will have strong expertise in SQL , Python , and Tableau , with hands-on experience in building robust data pipelines, automating data processes, and delivering advanced analytics solutions. The role also involves working on ETL workflows , supporting business decision-making with data insights, and collaborating with both technical and non-technical stakeholders. Required Skills: Bachelor s degree in Computer Science, Data Science, Information Systems, or a related field. 3 5 years of hands-on experience in data analysis , data engineering , or BI development . Advanced SQL skills for querying, joining, aggregating, and transforming large datasets. Proficiency in Python for data wrangling, automation, and analysis. Expertise in Tableau for building dynamic dashboards and reports. Experience in working with ETL pipelines and data flow optimization. Strong understanding of data structures , data quality , and reporting best practices .

Description: ACCOUNTABILITIES: Designs, codes, tests, debugs and documents software according to Dell s systems quality standards, policies and procedures. Analyzes business needs and creates software solutions. Responsible for preparing design documentation. Prepares test data for unit, string and parallel testing. Evaluates and recommends software and hardware solutions to meet user needs. Resolves customer issues with software solutions and responds to suggestions for improvements and enhancements. Works with business and development teams to clarify requirements to ensure testability. Drafts, revises, and maintains test plans, test cases, and automated test scripts. Executes test procedures according to software requirements specifications Logs defects and makes recommendations to address defects. Retests software corrections to ensure problems are resolved. Documents evolution of testing procedures for future replication. May conduct performance and scalability testing. RESPONSIBILITIES: Leads small to moderate budget projects; may perform in project leadership role and/or may supervise the activities of lower level personnel. Provides resolutions to a diverse range of complex problems. Executes schedules, costs and documentation to ensure assigned projects come to successful conclusion. May assist in training, assigning and checking the work of less experienced developers. Performs estimation efforts on projects and tracks progress. Drafts and revises test plans and scripts with consideration to end-to-end system flows. Executes test scripts according to application requirements documentation. Logs defects, identifies course of action and performs preliminary root cause analysis. Analyzes and communicates test results to project team. Enable Skills-Based Hiring No Description Comments Additional Details Description Comments : Critical Hiring Requests ID : C40903 Senior Software Engineer with hands-on experience in Oracle Enterprise Performance Budgeting (EPB), Financial Data Integration (FDI), and Oracle Cloud Infrastructure (OCI) Data Science. The ideal candidate should have a strong foundation in planning and financial reporting processes, along with good development practices, including CI/CD pipeline knowledge. Experience in Python is a strong advantage.Key Responsibilities:Work under tight deadlines to deliver solutions aligned with go-live timelinesCollaborate with stakeholders to gather requirements for planning, budgeting, and forecastingReview functional documents (FDs), propose technical approaches, and implement scalable solutionsDevelop and support integrations using Oracle EPB and FDILeverage OCI Data Science for building and supporting AI-driven planning & forecasting modelsEnsure robust deployment and monitoring using CI/CD pipelinesTroubleshoot and resolve issues quickly during the go-live and post-go-live phasesDocument solutions and share knowledge with the wider teamCoordinate with QA and operations teams to ensure delivery quality and continuityRequired Skills:Proven hands-on experience with Oracle EPB and FDIExposure to OCI Data Science workflows and servicesFamiliarity with AI/ML use cases in planning and forecastingStrong functional understanding of enterprise planning and financial reportingAbility to work under pressure and meet tight delivery timelinesExperience with CI/CD pipelines and DevOps toolsWorking knowledge of Python (advantageous)Excellent communication, collaboration, and documentation skills Not to Exceed Rate : 1900 INR Per hour

Coursera was launched in 2012 by Andrew Ng and Daphne Koller, with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 175 million registered learners as of March 31, 2025. Coursera partners with over 350 leading universities and industry leaders to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera s platform innovations enable instructors to deliver scalable, personalized, and verified learning experiences to their learners. Institutions worldwide rely on Coursera to upskill and reskill their employees, citizens, and students in high-demand fields such as GenAI, data science, technology, and business. Coursera is a Delaware public benefit corporation and a B Corp. Join us in our mission to create a world where anyone, anywhere can transform their life through access to education. Were seeking talented individuals who share our passion and drive to revolutionize the way the world learns. At Coursera, we are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration. Coursera has a commitment to enabling flexibility and workspace choices for employees. Our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates. As an employee, we enable you to select your main way of working, whether its from home, one of our offices or hubs, or a co-working space near you. Job Overview The Instructional Designer will be responsible for reviewing and revising online course content to ensure it remains relevant, engaging, and effective. This role involves working closely with subject matter experts and stakeholders to design high-quality learning experiences. Key Responsibilities: Review and analyze feedback from course participants and stakeholders. Create and update course content, including multimedia elements, assessments, and interactive activities. Apply instructional design principles to enhance course effectiveness and learner engagement. Collaborate with instructors and subject matter experts to ensure content accuracy and relevancy. Develop storyboards and prototypes for new course elements. Stay updated on the latest e-learning trends and technologies. Basic Qualifications Bachelor s degree in Instructional Design, Education, Educational Technology, or a related field. 2+ years of experience in instructional design or a similar role. Proficiency in e-learning authoring tools (e.g., Articulate Storyline, Adobe Captivate) and LMS platforms. Strong communication, writing, and editing skills. Creative problem-solving abilities and attention to detail. #LISG1 Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class. For California Candidates, please review our CCPA Applicant Notice here. For our Global Candidates, please review our GDPR Recruitment Notice here. #LI-Remote

Educational Background: BCA, B. TECH, MCA, M. TECH, B.Sc. (Computer Science), MSc. In any of the stream ( Computer Science, IT, EC, AI, ML, Data Science, Database etc) Skill Set: Basic technical knowledge, proficiency in Excel, basic computer operations. Readiness to Work On: Committee's operational activities Event and seminar management Website content management Coordination with faculty Resolution of member queries Administrative and support functions Billing and CPE portal management Attendance tracking Google Forms and document drafting

Key role: The suitable candidate will spend most of their time analyzing data. Past trends, current conditions, etc.The candidate would able to interpret large chunks of data, understand trends, analyze results, use of statistical techniques, visualization tools to give actionable insights. Should have worked on metrics tracking, modeling and MIS related to digital leads. Role & responsibilities : Should have 6-8 years of experience in Insurance/Banking/Lending/Credit Bureau or Financial sector Extensive hands-on experience in working on Machine Learning models Extensive hands-on experience in working with Excel, SQL, PowerBI Extensive hands-on experience in working with Python, Pandas, Numpy, Seaborn, data modeling, feature engineering and developing ML models Should have good knowledge and working experience in creating reporting datasets Should have good knowledge and working experience in story-telling and presenting actionable insights to stake holders Good to have knowledge of Bank Statement, Credit data and other data sources used in Fraud Analysis Good to have knowledge on AWS, Sagemaker, Amazon S3, Cloudwatch Good to have knowledge in CI/CD pipelines, ML ops. Please share your resume at neelam.kumari1@pramericalife.in with below details: Total Exp: Current CTC: Expected CTC: Notice Period:

CRISIL is looking for AI and ML - Associate Director, Corporate Technology to join our dynamic team and embark on a rewarding career journey Collaborate with cross-functional teams to achieve strategic outcomes Apply subject expertise to support operations, planning, and decision-making Utilize tools, analytics, or platforms relevant to the job domain Ensure compliance with policies while improving efficiency and outcomes

Macgence is a leading AI training data company at the forefront of providing exceptional human-in-the-loop solutions to make AI better. We specialize in offering fully managed AI/ML data solutions, catering to the evolving needs of businesses across industries. With a strong commitment to responsibility and sincerity, we have established ourselves as a trusted partner for organizations seeking advanced automation solutions. Fueled by our human expertise, our team has executed projects enabling cutting-edge technology that has revolutionized automation in many sectors. We do this by harnessing the power of human-generated AI and ML thus facilitating seamless global business automation and enhancing efficiency and productivity. At Macgence, we are committed to providing our customers with high quality, timely solutions that address their specific needs and challenges. We understand the crucial role of accurate, reliable human-generated data in driving AI and ML systems. As a result, we leverage our expertise to curate high-quality ~ 95%+ accuracy datasets. These datasets fuel innovation and deliver tangible results. Partnering with Macgence means gaining a trusted ally in your journey towards leveraging the power of AI and ML. We are dedicated to empowering businesses, optimizing processes, and driving growth through our innovative data solutions. Job Overview: We are seeking a meticulous and detail-oriented individual to join our team as a Data Annotator for Noida. As a Data Annotator, you will be responsible for labeling and annotating large volumes of data to support machine learning model training and development. Your role will be crucial in ensuring the accuracy and quality of the data used to train our AI systems. Location: Noida Key Responsibilities: Annotate and label various types of data according to specified guidelines and criteria. Review and verify annotations for accuracy and consistency. Collaborate with data scientists and engineers to understand annotation requirements and objectives. Maintain high levels of productivity and accuracy while meeting project deadlines. Identify and report any issues or discrepancies in the data annotation process. Continuously improve annotation processes and workflows to enhance efficiency and quality. Keep detailed records of annotated data and documentation of annotation guidelines. Communicate effectively with team members to ensure alignment on annotation tasks and project goals. Qualifications: Bachelor s degree in a relevant field such as Computer Science, Data Science, or a related discipline. Strong attention to detail and the ability to maintain accuracy while working with large datasets. Excellent organizational and time management skills to prioritize tasks effectively. Proficiency in using annotation tools and software is preferred. Basic understanding of machine learning concepts and terminology. Ability to work both independently and collaboratively in a team environment. Good communication skills with the ability to articulate ideas and provide clear explanations. Experience in data annotation or similar roles is a plus but not required. Why Join Us: Opportunity to work with cutting-edge technologies and contribute to the advancement of AI. A collaborative and supportive work environment where your contributions are valued. Continuous learning and professional development opportunities. Competitive salary and benefits package. If you are passionate about data and interested in playing a key role in shaping the future of AI, we encourage you to apply for the position of Data Annotator. For more enquiry: Job Category: operations Job Type: Full Time Job Location: noida

Macgence is a leading AI training data company at the forefront of providing exceptional human-in-the-loop solutions to make AI better. We specialize in offering fully managed AI/ML data solutions, catering to the evolving needs of businesses across industries. With a strong commitment to responsibility and sincerity, we have established ourselves as a trusted partner for organizations seeking advanced automation solutions. Fueled by our human expertise, our team has executed projects enabling cutting-edge technology that has revolutionized automation in many sectors. We do this by harnessing the power of human-generated AI and ML thus facilitating seamless global business automation and enhancing efficiency and productivity. At Macgence, we are committed to providing our customers with high quality, timely solutions that address their specific needs and challenges. We understand the crucial role of accurate, reliable human-generated data in driving AI and ML systems. As a result, we leverage our expertise to curate high-quality ~ 95%+ accuracy datasets. These datasets fuel innovation and deliver tangible results. Partnering with Macgence means gaining a trusted ally in your journey towards leveraging the power of AI and ML. We are dedicated to empowering businesses, optimizing processes, and driving growth through our innovative data solutions. Job Overview: We are seeking a meticulous and detail-oriented individual to join our team as a Data Annotator. As a Data Annotator, you will be responsible for labeling and annotating large volumes of data to support machine learning model training and development. Your role will be crucial in ensuring the accuracy and quality of the data used to train our AI systems. Key Responsibilities: Annotate and label various types of data according to specified guidelines and criteria. Review and verify annotations for accuracy and consistency. Collaborate with data scientists and engineers to understand annotation requirements and objectives. Maintain high levels of productivity and accuracy while meeting project deadlines. Identify and report any issues or discrepancies in the data annotation process. Continuously improve annotation processes and workflows to enhance efficiency and quality. Keep detailed records of annotated data and documentation of annotation guidelines. Communicate effectively with team members to ensure alignment on annotation tasks and project goals. Qualifications: Bachelor s degree in a relevant field such as Computer Science, Data Science, or a related discipline. Strong attention to detail and the ability to maintain accuracy while working with large datasets. Excellent organizational and time management skills to prioritize tasks effectively. Proficiency in using annotation tools and software is preferred. Basic understanding of machine learning concepts and terminology. Ability to work both independently and collaboratively in a team environment. Good communication skills with the ability to articulate ideas and provide clear explanations. Experience in data annotation or similar roles is a plus but not required. Why Join Us: Opportunity to work with cutting-edge technologies and contribute to the advancement of AI. Collaborative and supportive work environment where your contributions are valued. Continuous learning and professional development opportunities. Competitive salary and benefits package. If you are passionate about data and interested in playing a key role in shaping the future of AI, we encourage you to apply for the position of Data Annotator. For more enquiry:

The purpose of this role is to develop best in class strategies and management of all Insights and Analysis activity on assigned clients, to manage and develop the team and serve as a point of escalation as needed. Job Description: Key responsibilities: Applies data science methods to provide insights and recommendations to clients Manages multiple analytics engagements Communicates findings and insights Maintains knowledge of new trends in the data science industry Integrates disparate datasets, conducts data preparation for analyses Sets team development and training objectives Location: DGS India - Bengaluru - Manyata N1 Block Brand: Merkle Time Type: Full time Contract Type: Permanent

[{"Salary":null , "Remote_Job":false , "Posting_Title":"Senior DevOps Engineer" , "Is_Locked":false , "City":"Bangalore" , "Industry":"Technology" , "Job_Description":" About the Role: Seeking a Senior Data Scientist who is equally comfortable building predictive models and architecting intelligent systems with Generative AI. This role is ideal for someone who thrives on solving complex business problems with the power of data, machine learning, and cutting-edge AI techniques including large language models (LLMs), RAG pipelines, and prompt engineering. You\u2019ll be at the forefront of innovation, driving the design and deployment of scalable AI solutions that power intelligent products, enhance automation, and enable smarter decision-making across the organization. Key Responsibilities: Generative AI & LLMs - Fine-tune and apply large language models (LLMs) for summarization, classification, generation, and dialogue use cases. Design and implement retrieval-augmented generation (RAG) pipelines using vector databases. Develop intelligent agents, agentic workflows and chat-based interfaces that translate natural language into actions or insights. Build multi-agent orchestration frameworks using tools such as LangGraph , AutoGen , or similar for enterprise-grade use cases. Create reusable prompt templates and evaluation strategies to ensure output quality and relevance. Machine Learning & Predictive Analytics - Develop robust ML models for classification, regression, clustering, and time-series forecasting. Apply advanced feature engineering, model evaluation, and explainability techniques. Collaborate with stakeholders to define data-driven solutions aligned with business KPIs. Deployment & MLOps - Lead the full model lifecycle from experimentation to deployment preferably using Azure , Databricks , or equivalent platforms. Monitor model performance, automate retraining, and ensure reliability through MLOps best practices. Data Strategy & Collaboration - Work with data engineers to transform raw data into ML-ready datasets. Collaborate cross-functionally with product managers, developers, and business teams to turn use cases into scalable AI solutions. Mentor junior team members and contribute to AI/ML best practices across the org. Required Skills & Qualifications: 4+ years of experience in data science or machine learning roles. Bachelors, Masters degree, or Ph.D. in Computer Science, Data Science, Statistics, or a related field. Strong machine learning skills and 3+ years of experience productionizing machine learning models (Sklearn, XGBoost, or Deep Learning) Hands-on experience with Gen AI-related tech stack, including Azure cognitive search, Langchain, HuggingFace, vector DBs and agent frameworks like Autogen. Experience in fine-tuning open-source models like Llama etc. is a bonus. Strong programming skills in advanced python, with experience in SQL and cloud-based data platforms (Azure preferred). Understanding of model governance, versioning, monitoring, and evaluation. Ability to translate business problems into analytical frameworks and actionable models. Strong problem-solving mindset and ability to work in ambiguous, fast-paced environments. Strong storytelling and stakeholder communication skills.

About Carter: Carter is rethinking adtech infrastructure from the ground up with a privacy-first, AI-powered platform transforming commerce media. Our platform enables sophisticated audience management, seamless campaign execution, and advanced monetization-while keeping data security and privacy at the core. We empower our partners to turn every customer interaction into a revenue-generating opportunity, leveraging AI, first-party data, and seamless integrations across the entire retail media ecosystem. Position Overview: We re looking for a Data Product Manager who understands the intersection of ad tech, data, and AI/ML models, someone who s fluent in both business and technical conversations. You ll be responsible for shaping data-driven products that support bidding, targeting, insights, optimization, and measurement. You ll work cross-functionally with engineering, data science, UX, and GTM teams to launch and scale products that drive value for our customers. Candidates with experience in high-frequency, high-volume environments in adtech are especially encouraged to apply. Job Responsibilities: Own and evolve the product roadmap for data and measurement features (e.g., performance models, audience tools, reporting layers, campaign optimization). Work closely with data engineering and ML teams to define product requirements, success metrics, and delivery timelines. Translate advertiser use cases into data product specs and interfaces. Partner with account and strategy teams to gather feedback and define high-impact use cases. Understand how models work (propensity, LTV, lookalike, pacing, bidding, etc.) and ensure they are integrated in ways that users trust and value. Ensure data flows are robust, privacy-safe, and usable across the ad stack (DSPs, SSPs, CDPs, retail platforms). Define product metrics and validate outcomes through experimentation and feedback loops. Basic Qualifications: 3-6 years of product management experience, ideally in ad tech, martech, or data platforms. Experience with DSPs, SSPs, CDPs, DMPs, or similar ecosystems is a huge plus. Strong understanding of how data pipelines, ML models, and APIs work, not just what they do, but how they do it. Excellent communicator who can drive alignment between technical and non-technical stakeholders. Passionate about solving real user problems with data, not just building dashboards. Familiar with tools like Looker, Snowflake, dbt, Python, Postgres, or similar, you dont have to code, but you get it. Previous experience working in a startup or fast-paced agile environment.

OUR STORY Quince was started to challenge the existing idea that nice things should cost a lot. Our mission was simple: create an item of equal or greater quality than the leading luxury brands and sell them at a much lower price. OUR VALUES Customer First. Customer satisfaction is our highest priority. High Quality. True quality is a combination of premium materials and high production standards that everyone can feel good about. Essential design. We don t chase trends, and we don t sell everything. We re expert curators that find the very best and bring it to you at the lowest prices. Always a better deal. Through innovation and real price transparency we want to offer the best deal to both our customers and our factory partners. Environmentally and Socially conscious. We re committed to sustainable materials and sustainable production methods. That means a cleaner environment and fair wages for factory workers. OUR TEAM AND SUCCESS Quince is a retail and technology company co-founded by a team that has extensive experience in retail, technology and building early stage companies. You ll work with a team of world-class talent from Stanford GSB, Google, D.E. Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike etc. THE IDEAL CANDIDATE: The ideal candidate thrives in a fast-paced, performance-driven environment and will be responsible for delivering a differentiated product that addresses a business need and represents a viable business opportunity. They will work alongside our team of world-class product managers, engineers, data scientists, marketers, UI/UX designers, and ecomm team to achieve 2 main objectives - drive retention rate and improve revenue from repeat customers through innovative features & personalized user journeys RESPONSIBILITIES: Own the product roadmap for retention marketing: channels including email, SMS, and push notifications, with a focus on driving customer engagement and repeat purchases. Define, prioritize, and execute product initiatives that improve user activation, with specific focus on multi-category purchases within the first 60 days of a users lifecycle. Collaborate cross-functionally with Retention Marketing, Engineering, Data Science, and Creative teams to launch and iterate on personalized user journeys. Build in-house customer segmentation platform and refine user segmentation strategies to tailor retention tactics based on lifecycle stage, category affinity, and browsing history. Drive personalization across retention marketing channels : content, frequency, & channel personalization Work closely with Data-Science team to build product recommendation models to drive cross-category purchases Partner with analytics to establish KPIs and build dashboards for performance monitoring, cohort behavior, and funnel drop-off diagnostics. Conduct A/B tests to validate hypotheses around message timing, channel mix, and content personalization. Work closely with the Martech and CRM Engineering teams to identify tooling gaps, streamline campaign execution, and improve targeting capabilities. Advocate for the customer by understanding user behavior across the post-purchase journey and identifying friction points that hinder re-engagement. Stay current on best practices and emerging tools in the retention marketing and eCommerce space to inform product strategy and experimentation roadmap. Manage risks in execution and scrappily unblock team to reach goals REQUIREMENTS: 3-5 years of product management experience, ideally in eCommerce, consumer tech, or a performance marketing-focused environment. Deep empathy for users and a customer-first mindset, with the ability to translate user behavior and insights into product requirements. Comfortable working in fast-paced, multi-time-zone global iterative environments with cross-functional teams (engineering, design, marketing, analytics) Strong analytical skills with experience using data tools like SQL, Looker, or Mixpanel, or Amplitude to define metrics, derive insights, and drive decisions. A strong sense of ownership, accountability, understanding of metrics, and drive to move metrics that matter (activation rate, repeat rate, LTV, etc.). Proven track record of owning and shipping successful features or initiatives in Growth / Retention, CRM, or lifecycle marketing (email/SMS/push). Preferred : Familiarity with modern marketing automation tools (e.g., Clevertap, Moengage, Klaviyo, Braze, Iterable, etc) and CRM infrastructure. Excellent written and verbal communication skills, with the ability to align stakeholders and clearly articulate product decisions. Bonus: Experience working on segmentation models, predictive triggers, or using personalization/ML to power retention initiatives. Quince provides equal employment opportunities to all employees and applications for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. . We are committed to ensuring an inclusive and accessible hiring process for all candidates. Security Advisory: Beware of Frauds At Quince, were dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Quince emphasizes legitimate recruitment practices. Initial communication is primarily via official Quince email addresses and LinkedIn; beware of deviations. Personal data and sensitive information will not be solicited during the application phase. Interviews are conducted via phone, in person, or through the approved platforms Google Meets or Zoom never via messaging apps or other calling services. Offers are merit-based, communicated verbally, and followed up in writing. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means.

Join our Team About this opportunity: In this role you will report to GFGO Data office - Head of Data & Analytics - Strategy & Engineering and will be contributing to our efforts in both artificial intelligence (AI) and automation technologies, aligning with overall data strategy and business objectives. You will play a key leadership role in transforming raw data into actionable insights that drive business value. You will collaborate closely with cross-functional teams across the organization to identify key business challenges, design and implement innovative data-driven solutions, and effectively communicate your findings to both technical and non-technical audiences. What you will do: Partner with business stakeholders to understand their needs, translate them into technical requirements, and develop data-driven solutions. Communicate complex AI concepts to non-AI stakeholders (Data Domains, Enablers, etc.) and facilitate multi-functional collaboration. Establish and enforce data governance policies and procedures to ensure the ethical and responsible use of data in AI applications. Implement Objective Key Results to measure the performance and impact of AI and automation solutions & regularly report on the progress and success of AI initiatives to the Head of Data &AI Lead and manage complex data science projects from inception to deployment, ensuring successful delivery and impact on business objectives. Develop, implement, and optimize machine learning models and algorithms to solve real-world business problems. Perform data cleaning, wrangling, and transformation to ensure data quality and prepare it for analysis. Conduct exploratory data analysis (EDA) to uncover hidden patterns, trends, and insights within data sets. Develop clear and concise data visualizations to effectively communicate complex findings to both technical and non-technical audiences. Stay up to date on the latest advancements in data science methodologies and tools, and actively seek opportunities to incorporate them into our practices. Mentor and guide junior data scientists within the team, fostering a collaborative and learning environment. The skills you bring: PhD in Statistics, Computer Science, Mathematics, or a related field (or) master s / bachelor s degree with significant work experience. Minimum 5 to 12+ years of experience as a Data Scientist or similar role. Proven track record of successfully leading and delivering data science projects with tangible business impact. Strong expertise in LLM, deep learning, machine learning algorithms (e.g., supervised learning, unsupervised learning, reinforcement learning) and statistical modelling. Proficiency in programming languages such as Python, R, and familiarity with big data processing tools (e.g., Spark, Hadoop) is a plus. Familiarity in developing and deploying E2E AI solutions in cloud platforms (Azure, AWS, GCP) Excellent communication and collaboration skills, with the ability to effectively translate complex technical concepts to a non-technical audience. Strong problem-solving skills and a passion for applying data science techniques to solve real-world problems. Ability to work independently and manage multiple projects simultaneously while meeting deadlines. Why join Ericsson? What happens once you apply? Primary country and city: India (IN) || Bangalore Req ID: 769600

In this role, as a staff data scien tist you will own the technical roadmap and architecture for multiple initiatives wit hin the Conversational AI platform. The responsibilities include: Partner with key business stakeholders and be a thought leader in the Conversational AI space for driving the development and planning of POCs and p roduction AI s olution s . Translate business requirements into strategies, initiatives, and projects. Align these with business strategy and objectives . Drive the execution of the deliverables. Design, build, test and deploy cutting edge AI solutions at scale, impacting millions of customers worldwide. Lead multiple initiatives within the platform, with focus on efficiency, innovation, and leverage. Collaborate with the applied scientists, ML engineers, software engineers and product managers to develop next generation of AI assistant experiences. Be up-to date on industry trends in the latest Generative AI, Speech/Video processing and AI assistant architecture patterns ( e.g. agent chaining, COT, RAG, LLM guardrails etc) Provide technical leadership, guidance and mentorship to highly skilled and motivated data scientists in the team. Lead innovation and efficiency through the complete problem - solving cycle , from approach to methods to development and results. Partner and engage with associates in other regions for delivering the best services to customers around the globe . Proactively participate in the external community to strengthen Walmarts brand and gain insights into industry practices. Drive innovation in the charter and publish research in Rank A+ AI conferences like ICML, AAAI, NIPS, ACL, etc. What You Will Bring Masters with 8 + years or Ph.D. with 6 + years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or related area. Strong track record in a data science tech lead role ( 4 + years), with deployment of large-scale AI services Extensive experience in the design, development, and delivery of AI products with a large customer base, preferably in c onversational AI, speech, vision or machine learning based systems Strong experience in machine learning: Gen AI, NLP, Speech processing, Image processing, Classification models, regression models, Forecasting, Unsupervised models, Optimization, Graph ML, Causal inference, Causal ML, Statistical Learning, and experimentation. Extensive e xperience building and deploying GenAI/Deep learning models for real-time inferencing/streaming applications. Deep and demonstrated personal interest in generative AI space including awareness of latest architectural advancements in building generative AI applications. Excellent decision-making skills with the ability to balance conflicting interests in a complex and fast-paced environment. Deep experience in simultaneously leading multiple data science initiatives end to end from translating business needs to analytical asks, leading the process of building solutions and the eventual act of deployment and maintenance . Thorough understanding of distributed technologies, public cloud technologies, scalable platforms, ML- platforms and Operational Excellence. Experience working with geographically distributed teams. Business acumen; combining technical vision with business insights. R esearch acumen ; with papers published in top tier AI conferences like AAAI, NIPS, ICML, KDD, etc. Strong e xperience with big data platforms Hadoop (Hive, Map Reduce, HQL, Scala) . Strong e xperience in Python and Java.

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Strong knowledge in Python ML, AI ML, LLM(Large Lang Model),Gen AI Technical and Professional : Strong knowledge in Python ML, AI ML, LLM(Large Lang Model),Gen AI Preferred Skills: Technology-Data Science-Machine Learning Technology-Machine Learning-Generative AI

Educational Bachelor of Engineering Service Line AI & Automation Service Line Responsibilities Data collection and preparationCollect and prepare data for training and evaluating LLMs. This may involve cleaning and processing text data, or creating synthetic data Model developmentDesign and implement LLM models. This may involve choosing the right architecture, training the model, and tuning the hyperparameters Model evaluationEvaluate the performance of LLM models. This may involve measuring the accuracy of the model on a held-out dataset, or assessing the quality of the generated text Model deploymentDeploy LLM models to production. This may involve packaging the model, creating a REST API, and deploying the model to a cloud computing platform. Responsible AIShould have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives. Experience in working with ML toolkit like R, NumPy, MatLab etc.. Experience in data mining, statistical analysis and data visualization Additional Responsibilities: Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends Technical and Professional : Primary skills:Technology-Artificial Intelligence-Computer Vision,Technology-Big Data-Natural language processing(NLP),Technology-Machine Learning-Python Preferred Skills: Technology-Big Data-Natural language processing(NLP) Technology-Machine Learning-Python Technology-Artificial Intelligence-Computer Vision Technology-Machine Learning-Generative AI

Join our dynamic Workforce Planning (WFP) team within Consumer and Community (CCB) Operations division. Be part of a forward-thinking organization that leverages data science to optimize workforce efficiency. Contribute to innovative projects that drive impactful solutions for Chases operations. As an Operations Research Analyst within the WFP Data Science team, you will tackle complex and high-impact projects. You will assess unstructured problems, develop practical strategies, and propose solutions to enhance decision-making processes. Collaborate with management to prioritize, time, and deliver next-gen operations research solutions. Job Responsibilities Design and development of optimization models and simulation models. Support OR projects individually or part of a project team. Collaborate with stakeholders to understand the business requirements and clearly define the objectives of any solution. Identify and select the correct method to solve the problem while staying up to data on the latest OR methodologies. Ensure the robustness of any mathematical solution. Develop and communicate recommendations and OR solutions in easy-to-understand-way leveraging data to tell a story. Lead and persuade others while positively influencing the outcome of team efforts and help frame a business problem into a technical problem resulting in a feasible solution. Required qualifications, capabilities and skills Master s Degree with 4+ years or Doctorate (PhD) with 2+ years of experience in Operations Research, Industrial Engineering, Systems Engineering, Financial Engineering, Management Science, and related disciplines operating as an operations research professional. Experience supporting OR projects with multiple team members. Hands-on experience developing simulation models, optimization models and/or heuristics. Deep understanding of math and theory behind Operations Research techniques Proficient in Open Source Software(OSS) programming languages like Python, R or Scala. Experience with commercial solvers like GUROBI, CPLEX, XPRESS, or MOSEK & familiarity with basic data table operations (SQL, Hive, etc. ). Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence. Preferred qualifications, capabilities and skills Advanced expertise with Operations Research techniques. Prior experience building Reinforcement Learning Models. Extensive knowledge of Stochastic Modelling. Previous experience leading highly complex cross-functional technical projects with multiple stakeholders. Join our dynamic Workforce Planning (WFP) team within Consumer and Community (CCB) Operations division. Be part of a forward-thinking organization that leverages data science to optimize workforce efficiency. Contribute to innovative projects that drive impactful solutions for Chases operations. As an Operations Research Analyst within the WFP Data Science team, you will tackle complex and high-impact projects. You will assess unstructured problems, develop practical strategies, and propose solutions to enhance decision-making processes. Collaborate with management to prioritize, time, and deliver next-gen operations research solutions. Job Responsibilities Design and development of optimization models and simulation models. Support OR projects individually or part of a project team. Collaborate with stakeholders to understand the business requirements and clearly define the objectives of any solution. Identify and select the correct method to solve the problem while staying up to data on the latest OR methodologies. Ensure the robustness of any mathematical solution. Develop and communicate recommendations and OR solutions in easy-to-understand-way leveraging data to tell a story. Lead and persuade others while positively influencing the outcome of team efforts and help frame a business problem into a technical problem resulting in a feasible solution. Required qualifications, capabilities and skills Master s Degree with 4+ years or Doctorate (PhD) with 2+ years of experience in Operations Research, Industrial Engineering, Systems Engineering, Financial Engineering, Management Science, and related disciplines operating as an operations research professional. Experience supporting OR projects with multiple team members. Hands-on experience developing simulation models, optimization models and/or heuristics. Deep understanding of math and theory behind Operations Research techniques Proficient in Open Source Software(OSS) programming languages like Python, R or Scala. Experience with commercial solvers like GUROBI, CPLEX, XPRESS, or MOSEK & familiarity with basic data table operations (SQL, Hive, etc. ). Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence. Preferred qualifications, capabilities and skills Advanced expertise with Operations Research techniques. Prior experience building Reinforcement Learning Models. Extensive knowledge of Stochastic Modelling. Previous experience leading highly complex cross-functional technical projects with multiple stakeholders.

We have an exciting opportunity for you to leverage AI/ML to deliver actionable insights across the Card business. As a Data Science Senior Associate within the Card Data and Analytics team, you will leverage your skills and experience in building insights from advanced analytics, Gen AI/LLM tools, and data querying to support our Credit Card business. This role combines consulting know-how, analytical proficiency in statistics, data science, machine learning/AI, proficiency in SQL/Python programming, and visualization methods. Job Responsibilities Uncover novel use cases of Big Data analytics for the Credit Card business. Drive data science/AIML use case development supporting the Card business. Help partners define business problems and scope analytical solutions. Build an understanding of the problem domain and available data assets. Research, design, implement, and evaluate analytical approaches and models. Perform ad-hoc exploratory statistics, data mining, and model testing. Investigate data visualization techniques for conveying key findings. Required Qualifications, Capabilities, and Skills Bachelor s degree in a relevant quantitative field and 6+ years of data analytics experience or advanced degree in an analytical field. Exceptional analytical, quantitative, problem-solving, and communication skills. Demonstrated intellectual curiosity for solving business problems. Excellent leadership, consultative partnering, and collaboration skills. Knowledge of statistical software packages (e. g. , Python, R, SAS) and data querying languages (e. g. , SQL). Experience with modern data science tools (e. g. , OpenAI, SQL, Spark, Python). Preferred Qualifications, Capabilities, and Skills Understanding of key drivers within the credit card P&L. Financial services background preferred. M. S. equivalent preferred. We have an exciting opportunity for you to leverage AI/ML to deliver actionable insights across the Card business. As a Data Science Senior Associate within the Card Data and Analytics team, you will leverage your skills and experience in building insights from advanced analytics, Gen AI/LLM tools, and data querying to support our Credit Card business. This role combines consulting know-how, analytical proficiency in statistics, data science, machine learning/AI, proficiency in SQL/Python programming, and visualization methods. Job Responsibilities Uncover novel use cases of Big Data analytics for the Credit Card business. Drive data science/AIML use case development supporting the Card business. Help partners define business problems and scope analytical solutions. Build an understanding of the problem domain and available data assets. Research, design, implement, and evaluate analytical approaches and models. Perform ad-hoc exploratory statistics, data mining, and model testing. Investigate data visualization techniques for conveying key findings. Required Qualifications, Capabilities, and Skills Bachelor s degree in a relevant quantitative field and 6+ years of data analytics experience or advanced degree in an analytical field. Exceptional analytical, quantitative, problem-solving, and communication skills. Demonstrated intellectual curiosity for solving business problems. Excellent leadership, consultative partnering, and collaboration skills. Knowledge of statistical software packages (e. g. , Python, R, SAS) and data querying languages (e. g. , SQL). Experience with modern data science tools (e. g. , OpenAI, SQL, Spark, Python). Preferred Qualifications, Capabilities, and Skills Understanding of key drivers within the credit card P&L. Financial services background preferred. M. S. equivalent preferred.

Data Scientist : Robust knowledge of machine learning model development , including strong familiarity with classical ML techniques, both supervised and unsupervised approaches. Proficiency in Python , with a solid understanding of key data science packages such as scikit-learn, pandas, NumPy, xgboost, LightGBM, and nltk. Strong knowledge of SQL , ideally with experience in Snowflake s SQL flavour. Familiarity with agile methodologies . Knowledge of version control and git-based workflows . Experience with Spark , particularly PySpark. Familiarity with cloud-based environments , with a focus on AWS, especially SageMaker. Total Experience Expected: 08-10 years

About Company Founded in 2011, ReNew, is one of the largest renewable energy companies globally, with a leadership position in India. Listed on Nasdaq under the ticker RNW, ReNew develops, builds, owns, and operates utility-scale wind energy projects, utility-scale solar energy projects, utility-scale firm power projects, and distributed solar energy projects. In addition to being a major independent power producer in India, ReNew is evolving to become an end-to-end decarbonization partner providing solutions in a just and inclusive manner in the areas of clean energy, green hydrogen, value-added energy offerings through digitalisation, storage, and carbon markets that increasingly are integral to addressing climate change. With a total capacity of more than 13.4 GW (including projects in pipeline), ReNew’s solar and wind energy projects are spread across 150+ sites, with a presence spanning 18 states in India, contributing to 1.9 % of India’s power capacity. Consequently, this has helped to avoid 0.5% of India’s total carbon emissions and 1.1% India’s total power sector emissions. In the over 10 years of its operation, ReNew has generated almost 1.3 lakh jobs, directly and indirectly. ReNew has achieved market leadership in the Indian renewable energy industry against the backdrop of the Government of India’s policies to promote growth of this sector. ReNew stands committed to providing clean, safe, affordable, and sustainable energy for all and has been at the forefront of leading climate action in India. Job Description As a Data Scientist, you will play a key role in designing, building, and deploying scalable machine learning solutions, with a focus on real-world applications including Generative AI, optimization, forecasting, and operational analytics. You will work closely with data scientists, engineers, and business stakeholders to take AI models from ideation to production, ensuring high-quality delivery and integration within ReNew’s technology ecosystem. Roles and Responsibilities Build and deploy production-grade ML pipelines for varied use cases across operations, manufacturing, supply chain, and more Work hands-on in designing, training, and fine-tuning models across traditional ML, deep learning, and GenAI (LLMs, diffusion models, etc.) Collaborate with data scientists to transform exploratory notebooks into scalable, maintainable, and monitored deployments Implement CI/CD pipelines, version control, and experiment tracking using tools like MLflow, DVC, or similar Do shadow deployment and A/B testing of production models Partner with data engineers to build data pipelines that support real-time or batch model inference Ensure high availability, performance, and observability of deployed ML solutions using MLOps best practices Conduct code reviews, performance tuning, and contribute to ML infrastructure improvements Support the end-to-end lifecycle of ML products Contribute to knowledge sharing, reusable component development, and internal upskilling initiatives Eligibility Criteria Bachelor's in Computer Science, Engineering, Data Science, or related field. Master’s degree preferred 4–6 years of experience in developing and deploying machine learning models, with significant exposure to MLOps practices Experience in implementing and productionizing Generative AI applications using LLMs (e.g., OpenAI, HuggingFace, LangChain, RAG architectures) Strong programming skills in Python; familiarity with ML libraries such as scikit-learn, TensorFlow, PyTorch Hands-on experience with tools like MLflow, Docker, Kubernetes, FastAPI/Flask, Airflow, Git, and cloud platforms (Azure/AWS) Solid understanding of software engineering fundamentals and DevOps/MLOps workflows Exposure to at least 2-3 industry domains (energy, manufacturing, finance, etc.) preferred Excellent problem-solving skills, ownership mindset, and ability to work in agile cross-functional teams Main Interfaces The role will involve close collaboration with data scientists, data engineers, business stakeholders, platform teams, and solution architects.

Role: Gen AI Engineer Location: Hyderabad Experience: 5+ years Mode of Interview: Scheduled in-person interview only Date: 12th July Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

Responsibilities: * Collaborate with cross-functional teams on data science projects * Implement Keras models for machine learning applications * Develop AI/ML solutions using Python, Keras, LLM, Data Science

Role: Data Science Location : Pune Exp : 3 - 5 yrs Requirement: GENAI - Python/Data/AI Dev Python DSS Role Definition: Data Scientists focus on researching and developing AI algorithms and models. They analyse data, build predictive models, and apply machine learning techniques to solve complex problems Skills: Proficient: Languages/Framework: Fast API, Azure UI Search API (React) Databases and ETL: Cosmos DB (API for MongoDB), Data Factory Data Bricks Proficiency in Python and R Cloud: Azure Cloud Basics (Azure DevOps) Gitlab: Gitlab Pipeline Ansible and REX: Rex Deployment Data Science: Prompt Engineering + Modern Testing Data mining and cleaning ML (Supervised/unsupervised learning) NLP techniques, knowledge of Deep Learning techniques include RNN, transformers End-to-end AI solution delivery AI integration and deployment AI frameworks (PyTorch) MLOps frameworks Model deployment processes Data pipeline monitoring Expert: (in addition to proficient skills) Languages/Framework: Azure Open AI Data Science: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search Databases and ETL: Azure Storage Account Expertise in machine learning algorithms (supervised, unsupervised, reinforcement learning) Proficiency in deep learning frameworks (TensorFlow, PyTorch) Strong mathematical foundation (linear algebra, calculus, probability, statistics) Research methodology and experimental design Proficiency in data analysis tools (Pandas, NumPy, SQL) Strong statistical and probabilistic modelling skills Data visualization skills (Matplotlib, Seaborn, Tableau) Knowledge of big data technologies (Spark, Hive) Experience with AI-driven analytics and decision-making systems

Responsibilities: * Design and deliver data science training programs using Python, SQL, Tableau, statistics, and machine learning techniques.

XNOX offers a 1-month remote internship in Web Dev, Cyber Security, Data Science, AI & UI/UX. Top performers may get full-time offers (5 - 8 LPA). Get real-world experience + a welcome kit with a backpack, bottle, mug & diary. Work from home Flexi working