Jobs

Data Science & Analytics

Anywhere in India

Agra

Ahmedabad

Ahmednagar

Ajmer

Aligarh

Amritsar

Asansol

Aurangabad

Bareilly

Belagavi

Bengaluru

Bhavnagar

Bhilai

Bhopal

Bhubaneswar

Bikaner

Chandigarh

Chennai

Coimbatore

Cuttack

Dehradun

Delhi-NCR

Dhanbad

Gorakhpur

Guntur

Guwahati

Gwalior

Hubli

Hyderabad

Indore

Jabalpur

Jaipur

Jalandhar

Jamnagar

Jamshedpur

Jodhpur

Kannur

Kanpur

Kochi

Kolhapur

Kolkata

Kota

Lucknow

Ludhiana

Madurai

Malappuram

Mangalore

Meerut

Mumbai

Mysuru

Nagpur

Nashik

Panipat

Patna

Prayagraj

Puducherry

Pune

Raipur

Rajkot

Ranchi

Saharanpur

Salem

Solapur

Surat

Thiruvananthapuram

Trichy

Udaipur

Ujjain

Vadodara

Varanasi

Vijayawada

Visakhapatnam

Warangal

Admin / Back Office / Computer Operator

Advertising / Communication

Aviation & Aerospace

Banking / Insurance / Financial Services

Beauty, Fitness & Personal Care

Construction & Site Engineering

Consulting

Content, Editorial & Journalism

CSR & Social Service

Customer Support

Delivery / Driver / Logistics

Domestic Worker

Energy & Mining

Engineering - Hardware & Networks

Environment Health & Safety

Facility Management

Finance & Accounting

Healthcare / Doctor / Hospital Staff

Human Resources

IT & Information Security

Legal & Regulatory

Maintenance Services

Marketing / Brand / Digital Marketing

Media Production & Entertainment

Operations

Production / Manufacturing / Engineering

Product Management

Project & Program Management

Purchase & Supply Chain

Quality Assurance

Research & Development

Restaurant / Hospitality / Tourism

Retail & eCommerce

Risk Management & Compliance

Sales & BD

Security Services

Shipping & Maritime

Software Engineering

Strategic & Top Management

Tailoring, Apparel & Home Furnishing

Teaching & Training

UX, Design & Architecture

Popular Job Localities

Popular Job Companies

Popular Job Departments

Jobs in Top Cities

Popular Job Type

Start Hiring

Data Engineer Looking for a skilled Data Engineer with hands-on experience in AWS, Python, PySpark, and Databricks. Join a growing team working on cutting-edge data solutions!Experience: 5+ Years Share your updated resume now.

Reveille Technologies

Data Engineer

Sr. Data Scientist_MPIN<div itemprop="description"><section class="job-section" id="st-companyDescription"><div><h4 class="title">Company Description</h4></div><div class="wysiwyg">The Bosch Group is a leading global supplier of technology and services, in the areas of automotive technology, industrial technology, consumer goods, energy and building technology. As the largest auto component supplier in the country, setting a benchmark in the sectors it operates in, the company has to its credit several laurels.From a Bosch India perspective, we see a need to transform with new mind-sets - operating together with businesses, governments, and consumers- to imagine a future landscape focusing on efficient mobility concepts, clean energy needs, decentralized governance, convergence on connectivity etc. In an era of dynamic technological advancements, evolving consumer preferences, and shifting regulations, Bosch envisions a connected ecosystem within the shared economy that will shape the future of mobility.With a vision of accident-free and emission-free mobility, Bosch Mobility Platform and Services (MPS) is building an ecosystem of digital platforms and neutral e-commerce marketplaces. Our goal is to enable businesses to collaborate, innovate and co-create to solve complex problems of mobility in the realms of goods movement, people transportation, and parked vehicle ecosystem. </div></section><section class="job-section" id="st-jobDescription"><div><h4 class="title">Job Description</h4></div><div class="wysiwyg" itemprop="responsibilities">Role and Responsibilities <ul><li>Working with stake holders from different business units to identify the business opportunities for leveraging the data to drive business solutions.</li><li>Must have good knowledge of advanced statistical methods (automotive or manufacturing domain will be an added advantage). Mine and analyze data, applying statistical methods as necessary, discover the hidden patterns and viewing experiences to identify critical data insights.</li><li>Develop customized ML/AI algorithms for the customers so that they are suited 100% to the requirements</li><li>Develop reusable AI/GenAI/ML/Statistical models that can be scaled to multiple businesses with minimum customization.</li><li>Translate analytic insights into concrete, actionable recommendations for business or product improvement.</li><li>Partner closely with product and engineering leaders throughout the lifecycle of project. Ensure that necessary data is captured; analytic needs are well-defined up front and coordinate the analytic needs.</li><li>Independently handle the products/projects and provide technical directions to the other team members.</li><li>Develop dashboards using software like PowerBI to share algorithm results to end users</li><li>Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company.</li><li>Technical directions to junior in team, like to sort the respective task for appropriate team members, mentoring them technically etc.</li></ul></div></section><section class="job-section" id="st-qualifications"><div><h4 class="title">Qualifications</h4></div><div class="wysiwyg" itemprop="qualifications">Masters from a reputed Indian institutes in the area of Statistics, Machine Learning, Computer Science, etc.</div></section><section class="job-section" id="st-additionalInformation"><div><h4 class="title">Additional Information</h4></div><div class="wysiwyg" itemprop="incentives">Technical SkillsMust Have<ul><li>Strong expertise in Python and key data science libraries (e.g., pandas, NumPy, scikit-learn, PyTorch/TensorFlow/Keras). </li><li>Proven experience in classical ML algorithms — regression, classification, clustering, decision trees, random forests, SVMs, neural networks, etc.</li><li>Solid grounding in statistical analysis and hypothesis testing (DOE, forecasting, segmentation, uncertainty analysis, etc.).</li><li>Hands-on experience with data preprocessing, feature engineering, imputation, cleansing, transformation, and data exploration techniques (mean-variance, k-means, nearest neighbor, outlier detection, etc.).</li><li>Strong understanding of machine learning pipeline design, from data ingestion to model evaluation and deployment.</li><li>Experience with deep learning frameworks for solving applied problems (e.g., CNNs, RNNs, Transformers).</li><li>Experience working with NLP.</li><li>Exposure to AI/ML deployment on cloud platforms such as Azure or AWS.</li><li>Working knowledge of Docker, CI/CD pipelines, and API development (Flask/Django).</li><li>Experience developing dashboards or reports in Power BI or similar tools.</li><li>Experience mentoring and providing technical direction to team members.</li></ul>Nice to Have<ul><li>Experience with LLM-based and GenAI solutions, including:<ul><li>RAG, Agentic RAG, Graph RAG, Chain/Tree of Thoughts, LangChain, content extraction/summarization, and chat applications.</li></ul></li><li>Applied experience in Computer Vision (object detection, defect detection, OCR, etc.).</li><li>Domain expertise in one or more of:<ul><li>Supply Chain Analytics – inventory optimization, demand forecasting.</li><li>Sales Analytics – recommendation systems, customer segmentation, price elasticity.</li><li>Manufacturing Analytics – root cause analysis, scrap reduction, cycle time reduction, warranty analytics.</li></ul></li></ul>Soft Skills<ul><li>Excellent communication and storytelling skills — able to translate data insights into clear, business-focused narratives.</li><li>Strong stakeholder management and collaboration abilities across diverse teams.</li><li>Ability to work independently on complex projects while guiding and developing others.</li></ul> </div></section></div>

Robert Bosch Engineering and Business Solutions Pvt Ltd

Data Scientist

Data Modeling Expert (Junior–Mid Level) - BI Datawarehouse<div itemprop="description"><section class="job-section" id="st-companyDescription"><div><h4 class="title">Company Description</h4></div><div class="wysiwyg">Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.</div></section><section class="job-section" id="st-jobDescription"><div><h4 class="title">Job Description</h4></div><div class="wysiwyg" itemprop="responsibilities">Overview:We are seeking a highly motivated Data Modeling Expert to design and maintain conceptual and logical data models forming the foundation of Bosch’s digital and AI initiatives. You will translate complex business requirements into structured, reusable, and scalable data models that drive analytics, reporting, and operational efficiency.This role bridges the business and technical teams — ensuring that data structures reflect business semantics, support governance, and enable long-term interoperability.Key Responsibilities1. Data Modeling &amp; Design<ul><li>Design and maintain conceptual and logical data models that accurately capture business entities, relationships, and attributes.</li><li>Translate business processes and KPIs into structured data models supporting analytics and AI.</li><li>Collaborate with data engineers to support physical model realization.</li><li>Ensure alignment with enterprise data modeling standards, naming conventions, and metadata rules.</li><li>Maintain data dictionaries, ER diagrams, and semantic definitions for each domain.</li></ul>2. Business Alignment<ul><li>Engage with business stakeholders to capture and refine data requirements.</li><li>Serve as a bridge between business experts and data engineers to ensure consistent understanding of data meaning and use.</li><li>Document lineage, usage, and semantic definitions to promote data transparency.</li></ul>3. Quality &amp; Governance<ul><li>Ensure model consistency, data integrity, and compliance with Bosch data governance policies.</li><li>Support the adoption of data modeling best practices across domains and teams.</li><li>Participate in peer reviews and contribute to the improvement of data standards.</li></ul>Required Qualifications<ul><li>5–8 years of experience in data modeling, data analysis, or data product design.</li><li>Strong hands-on experience in conceptual and logical data modeling.</li><li>Proficiency in modeling tools such as Sparx EA, PowerDesigner, or ER/Studio.</li><li>Working knowledge of SQL and relational database concepts.</li><li>Familiarity with dimensional modeling and data normalization principles.</li></ul>Preferred Skills<ul><li>Exposure to data governance tools (Informatica EDC/IDMC, Collibra).</li><li>Awareness of cloud-based data platforms (Snowflake, Azure Synapse, Databricks).</li><li>Basic understanding of data lineage and metadata management.</li><li>Domain familiarity with manufacturing, engineering, or logistics data.</li></ul>Key Competencies<ul><li>Analytical and structured thinking.</li><li>Strong communication and documentation skills.</li><li>Detail-oriented with a focus on model reusability and clarity.</li><li>Collaborative mindset within agile teams.</li></ul></div></section><section class="job-section" id="st-qualifications"><div><h4 class="title">Qualifications</h4></div><div class="wysiwyg" itemprop="qualifications">Bachelor of Engineering / Computer science</div></section></div>

Data Analyst Intern

Senior Data Scientist<div>Job Summary:</div><div>The role requires building models using advanced statistical, AI and machine learning techniques for enabling - a unique personalized experience that helps end consumers to make quick decisions on content consumption. Forecasting / Predicting the content preferences based on the rich diverse content that varies from live sports to VOD content on the platform. Better performing recommendation engines that can optimize on not just simple outcome metrics like but complex state machines and funnel conversions like user LTV.</div><div> </div><div>About the team:</div><div>The Central Analytics team is embedded within various business &amp; product teams in a matrix structure to be a thought partner and provide comprehensive data insights to drive strategic decisions. This team is the strategic enabler for JioHotstar’s content and marketing functions. In a world where consumers have endless entertainment choices, we help decode how they spend their time and why. At the core, we analyze consumer behavior, content preferences, and evolving entertainment needs. We design and leverage experiments, apply GenAI for innovative problem-solving, and build analytical frameworks that guide key decisions. Our goal: to keep teams sharp, informed, and focused on the KPIs and drivers that truly matter. </div><h4>What will you do?</h4><li>Analyze large datasets from various sources to identify trends, patterns, and actionable insights that help define and execute data-driven strategies for the Ads platform</li><li>Design, develop, and deploy statistical models, machine learning algorithms, generative AI models, and predictive analytics to optimize ad targeting, improve campaign performance, and maximize revenue</li><li>Integrate machine learning models into production systems to deliver real-time insights and automated decision-making capabilities</li><li>Collaborate closely with cross-functional teams, including Data Engineering, Product Management, Ad Tech, and Business teams, to understand business challenges and deploy end-to-end solutions</li><li>Continuously evaluate and improve data quality and model performance to ensure consistent, reliable, and accurate insights</li><li>Develop and execute A/B testing frameworks and experimental designs to validate algorithmic improvements and quantify business impact</li><li>Stay up-to-date with the latest advancements in data science, machine learning, and AI, and proactively incorporate cutting-edge techniques into models and the Ads platform</li><li>Present findings, methodologies, and business impact of data science initiatives to technical and non-technical stakeholders</li><h4>Who should apply for this role?</h4><li>Proven experience in data science and machine learning </li><li>Strong proficiency in Python, SQL, and relevant data science libraries (Pandas, Scikit-learn, TensorFlow, PyTorch, etc.)</li><li>Expertise in building and deploying machine learning models into production systems</li><li>Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud)Deep understanding of statistical analysis, machine learning, data mining, and predictive modeling techniques</li><li>Should be comfortable leveraging LLMs and internals </li><li>Strong problem-solving skills with the ability to translate business problems into data science solutions</li><li>Excellent verbal and written communication skills, with the ability to present complex information to non-technical stakeholders</li> <div>About Us</div><div>Perched firmly at the nucleus of spellbinding content and innovative technology, JioStar is a leading global media &amp; entertainment company that is reimagining the way audiences consume entertainment and sports. Its television network and streaming service together reach more than 750 million viewers every week, igniting the dreams and aspirations of hundreds of million people across geographies.</div><div> </div><div> JioStar is an equal opportunity employer. The company values diversity and its mission is to create a workplace where everyone can bring their authentic selves to work. The company ensures that the work environment is free from any discrimination against persons with disabilities, gender, gender identity and any other characteristics or status that is legally protected.</div>

Viacom18 Media Pvt Ltd

Business Process AnalystWe are seeking a detail-oriented data annotator to join the Oracle Analytics team. As a member of our data operations team you will be responsible for creating and annotating natural language and structured data to facilitate the development of new AI solutions for Oracle's Analytics product portfolio. You will work with applied science and data science teams to design and evaluate new AI capabilities, test systems ahead of deployment, and support customers with implementing and customizing AI solutions for industry verticals or specific use cases. The ideal candidate will have in-depth familiarity with Oracle's analytics products (Fusion Data Intelligence, Oracle Analytics Cloud), SQL, Python, and data visualization, as well as experience in subject matter  areas related to ERP, Finance, Supply Chain Management, or Human Capital Management. Knowledge of data collection management practices, quality control processes is a strong plus.

Oracle Financial Services Software Ltd

Process Analyst

Senior - Dev-Data-Pipeline<h4>Description</h4>About KPMG in IndiaKPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.Alteryx Developer 
 <table><tbody><tr><td>Equal employment opportunity information  KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. </td></tr></tbody></table><h4>Qualifications</h4>Bachelors degree

Kpmg India Services Llp

Assistant Manager - AI/ML<h4>Description</h4>About KPMG in IndiaKPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.Data Science 
 <table><tbody><tr><td>Equal employment opportunity information  KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. </td></tr></tbody></table><h4>Qualifications</h4>B.E

Assistant Manager MIS

Senior Applied & Data ScientistAbout the jobLocation: Bangalore Career Level: IC3Oracle Cloud Infrastructure (OCI) is at the forefront of cloud innovation, blending the agility of a startup with the reliability of a leading enterprise software provider. Our AI Science team pioneers state-of-the-art machine learning solutions that empower customers and solve complex real-world problems at scale. We’re looking for an experienced Sr. Applied Science (IC3) with deep hand-on experience in Generative AI and Computer Vision area to develop highly complex and accurate data science model. In this role, you will develop of secure, scalable, and innovative AI solutions leveraging cutting-edge techniques in computer vision, Large multimodal models and other GenAI technologies.As a Senior Applied Scientist, you will develop and deploy state-of-the-art computer vision solutions leveraging generative AI technologies such as Large multimodal models and computer vision technologies such as image classification, object detection, vision grounding etc. This individual contributor(IC) role will build best-in-class computer vision solutions at scale. is perfect for a hands-on data science architecture design and is eager to drive innovation and excellence in AI and computer vision area. You will partner with the Product and Engineering managers to influence strategic decisions, drive experimentation and communicate results to higher managements. You will build best-in-class LLM/LMM/computer vision solutions for the Oracle business domain at scale. You will also partner with Product Management, Data Labelling and Engineering teams to get to develop build best-in-class computer vision solutions at scale. The ideal candidate has extensive experience with computer vision techniques, deep learning techniques, model serving, and a demonstrated ability to think strategicallyabout business, product, and technical challenges to contribute to the development of current and future vision services. Key  Responsibilities<ul><li>Development of advanced AI models and algorithms, focusing on large language model, large multimodal, computer vision and foundation models.</li><li>Design, implement and test the critical module/features of AI service that are correct, highly available, scalable, and cost-effective.</li><li>Champion best practices for testing, benchmarking, and model validation to ensure reliability and performance.</li><li>Analysis of ML models, and optimizing models for accuracy and latency.</li><li>Large-scale training &amp; production deployment with ML models.</li><li>Own data analysis, feature engineering, technique selection &amp; implementation, debugging, and maintenance of production model.</li><li>Experience implementing machine learning algorithms or research papers from scratch to production.</li><li>Work with large, complex data sets.</li><li>Proactively identify the technical issues/bugs and provide innovative solutions.</li><li>File patent and publication as by product of solving complex business problems</li><li>Partner closely with product managers, engineering leads, and annotation/data teams to define requirements, data quality assurance and acceptance of data/annotation as required.</li><li>Leverage Oracle Cloud technology.</li></ul>Preferred QualificationsPh.D. (preferred) or Master’s in Computer Science, Machine Learning, Computer Vision, or related field.<ul><li>PhD in computer vision or 2+ years of Experience designing, implementing and deploying computer vision models in production environments</li></ul>Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification.Strong foundation in deep learning architectures such as CNNs, transformers, diffusion models, and multimodal models.<ul><li>Expert in at least one high level language such as Python/Java/C++</li><li>Practical experience in ML algorithm design, model training and production deployment using microservices architecture</li><li>Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure or similar technology.</li><li>Experience or willingness to learn and work in Agile and iterative development processes.</li><li>Strong drive to learn and master new technologies and techniques.</li><li>Deep understanding of data structures, algorithms, and excellent problem-solving skills.</li><li>You enjoy a fast-paced work environment.</li></ul>

Senior - Data Science<h4>Description</h4>About KPMG in IndiaKPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.Data Science 
 <table><tbody><tr><td>Equal employment opportunity information  KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. </td></tr></tbody></table><h4>Qualifications</h4>B.E

Associate Process Manager<h4>Description</h4>Roles and Responsibilities<ul><li>Industrial experience of developing Gen AI / ML models and experience in Agentic AI development</li><li>Experience of software development in python programming language</li><li>Working knowledge of standard software engineering practices like version control, debugging, code coverage etc</li><li>Research and develop statistical learning models for data analysis</li><li>Collaborate with product management and engineering departments </li><li>Understand life-cycle of model development from initiation till production deployment</li><li>Processing, cleansing, and validating the integrity of data to be used for analysis</li><li>Analyzing large amounts of information to find patterns and solutions</li><li>Presenting results in a clear manner</li><li>Propose solutions and strategies to tackle business challenges</li></ul>Skills &amp; Qualifications<ul><li>B.E/ B. Tech in computer science or MCA or equivalent</li><li>Good understanding of data structure and algorithms</li><li>Proven Experience as Data Scientist.</li><li>4+ years of experience in data science</li><li>Excellent programming skills in Python (mandatory) </li><li>Good practical exposure of writing database query languages like <a href="https://www.simplilearn.com/tutorials/sql-tutorial/what-is-sql" target="_blank">SQL</a> </li><li>Good applied statistical skills</li><li>Advanced pattern recognition and predictive modeling experience.</li><li>Working experience of either text/image/video analytics</li><li>Excellent Communication Skills.</li></ul> About eClerxeClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience. About eClerx Digital eClerx Digital is the trusted partner of choice to many of the world’s largest global brands for creative production, e-commerce/web operations, and analytics and insights services. We help clients maximize the results of their digital activities across the customer journey. Global industry leaders partner with us to cost-effectively scale their digital activities by leveraging our highly skilled blended resource model.To know more about us, visit https://eclerx.comeClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law.

Eclerx Services 

Senior Process Manager<h4>Description</h4><ul><li>Conduct in-depth research and development of machine learning algorithms and models.</li><li>Explore and experiment with novel approaches to solve complex business problems using AI-ML techniques.</li><li>Stay updated with the latest advancements in the field of machine learning and contribute to the adoption of cutting-edge technologies.</li><li>Design and implement machine learning experiments. Analyze and interpret results to derive meaningful insights.</li><li>Participate in the development and improvement of existing machine learning models and frameworks.</li><li>Evaluate and fine-tune model performance using various metrics and optimization techniques.</li><li>Work on large datasets to pre-process, clean, and validate data for training and testing machine learning models.</li><li>Experience with big data processing tools and distributed computing frameworks is a plus.</li></ul>

Senior Process Manager<h4>Description</h4>Key Responsibilities:We are seeking a data-savvy professional with 6+ years of experience in Python and SQL, who also brings 2–3 years of direct client engagement experience. This role bridges technical data work with consultative client delivery, ideal for someone who can drive insights and manage stakeholder expectations.<ul><li>Write efficient, production-grade Python scripts for data extraction, transformation, and automation tasks.</li><li>Design and optimize SQL queries to analyze large, complex datasets across multiple sources (Presto Server, Hive, Spark, etc.).</li><li>Develop and maintain reusable ETL pipelines using Python libraries such as pandas, sqlalchemy, or Airflow or any tools available at client disposal.</li><li>Willingness to learn any new ETL tool as per the client requirements. </li><li>Client-Facing Ownership</li><li>Lead weekly or bi-weekly calls with clients, understand their analytical needs, and translate them into actionable data tasks.</li><li>Present insights and dashboards in a structured, business-friendly manner using tools like Tableau, Power BI, or Google Data Studio.</li><li>Manage project timelines, expectations, and delivery quality for 1–3 active clients simultaneously.</li></ul> Project &amp; Process Contributions: • Contribute to standardizing and documenting reusable scripts and SQL templates. • Collaborate effectively with internal teams and client SPOCs to deliver end-to-end solutions. • Ensure data accuracy, integrity, and compliance during data handling and reporting. Required Skills &amp; Qualifications: Must-Have • 5+ years of experience in data roles involving Python and SQL in production environments. • 2–3 years of direct client interaction, ideally in a services or consulting setup. • Strong problem-solving skills with measurable outcomes from past projects (e.g., improved reporting efficiency by X%, reduced data processing time by Y%). • Excellent communication, both verbal and written, with the ability to translate complex data into business insights. Nice-to-Have • Experience working with cloud data platforms (e.g., AWS, GCP). • Familiarity with project management tools (e.g., JIRA, Asana). • Exposure to APIs and data integrations using REST. • Knowledge of data modeling and performance tuning. About eClerxeClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience. eClerx’s Technology Group collaboratively delivers Analytics, RPA, AI, and Machine Learning digital technologies that enable our consultants to help businesses thrive in a connected world. Our consultants and specialists’ partner with our global clients and colleagues to build and implement digital solutions through a broad spectrum of activitiesTo know more about us, visit <a href="https://eclerx.com/" target="_blank">https://eclerx.com</a> eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law

Senior Process Associate

Senior Analyst<h4>Description</h4><h4>Data Engineer</h4>The ideal candidate must possess strong communication and collaboration skills, with the ability to design and build robust data architectures. They should demonstrate ownership in delivering scalable data solutions, working across technical and business teams to support analytics and BI requirements. The candidate should be proactive in identifying issues in data quality and have a strong sense of responsibility towards governance and compliance.<h4>Role and Responsibilities:</h4><ul><li>Design, build, and maintain scalable and efficient data pipelines for ingesting and transforming data from multiple sources.</li><li>Develop and manage cloud-based data lakes optimized for analytics and business intelligence usage.</li><li>Work closely with data science and BI teams to understand data requirements and ensure seamless integration of datasets.</li><li>Implement and maintain data quality checks, data profiling, and monitoring mechanisms.</li><li>Establish and enforce data governance policies including data lineage, cataloging, and access control.</li><li>Optimize data processing workloads for performance and cost-efficiency in cloud environments.</li><li>Collaborate across teams to understand evolving data needs and improve data infrastructure accordingly.</li></ul><h4>Technical and Functional Skills:</h4><ul><li>BE or B.Tech graduate with 5+ years of experience in Data Engineering.</li><li>Proficient in SQL and Python for data manipulation and ETL development.</li><li>Experience with ETL tools such as Alteryx, Tableau Prep, Apache Airflow, or similar.</li><li>Strong hands-on experience with cloud platforms like Azure (especially services like S3, BigQuery, Redshift, Glue, Dataflow, or equivalent), AWS, GCP.</li><li>Experience with data lake architecture and file formats like Parquet, Avro, or Delta Lake.</li><li>Working knowledge of data quality and observability tools like Great Expectations or Monte Carlo (Good to have).</li><li>Familiarity with metadata management, data cataloging, and governance frameworks.</li><li>Ability to design data models, understand business needs, and translate them into efficient data workflows.</li><li>Experience with Tableau, Power BI, Looker for downstream BI integration and data integrity testing.</li></ul>

Analyst - PDM<h4>Description</h4>Clerx is hiring a Product Data Management Analyst who will work within our Product Data Management team to help our customers enhance online product data quality for Electrical, Mechanical &amp; Electronics products. It will also involve creating technical specifications and product descriptions for online presentation. The candidate will also be working on consultancy projects on redesigning e-commerce customer’s website taxonomy and navigation.The ideal candidate must possess strong communication skills, with an ability to listen and comprehend information and share it with all the key stakeholders, highlighting opportunities for improvement and concerns, if any. He/she must be able to work collaboratively with teams to execute tasks within defined timeframes while maintaining high-quality standards and superior service levels. The ability to take proactive actions and willingness to take up responsibility beyond the assigned work area is a plus.Apprentice Analyst Roles and responsibilities:<ul><li>Data enrichment/gap fill, standardization, normalization, and categorization of online and offline product data via research through different sources like internet, specific websites, database, etc.</li><li>Data quality check and correction</li><li>Data profiling and reporting (basic)</li><li>Email communication with the client on request acknowledgment, project status and response on queries</li><li>Help customers in enhancing their product data quality (electrical, mechanical, electronics) from the technical specification and description perspective</li><li>Provide technical consulting to the customer category managers around the industry best practices of product data enhancement</li></ul>Technical and Functional Skills:<ul><li>Bachelor’s Degree in Engineering from Electrical, Mechanical OR Electronics stream</li><li>Excellent technical knowledge of engineering products (Pumps, motors, HVAC, Plumbing, etc.) and technical specifications</li><li>Intermediate knowledge of MS Office/Internet</li></ul>

AI Resume builder

AI Resume checker

AI Cover letter generator

Blog

Data Science Analytics Jobs - 1800 Verified Vacancies

Data Engineer

Data Scientist

Data Analyst Intern

Data Scientist

Process Analyst

Data Engineer

Assistant Manager MIS

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Senior Process Associate

Data Engineer

Senior Analyst

Know more about Data Science Analytics Jobs