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

Software Data Science EngineerJob Title: Software and Data Science EngineerJob Summary: We are seeking a highly motivated and analytical Data Scientist  to join our team. The ideal candidate will possess a strong engineering background, a passion for solving technical problems, and the ability to work collaboratively with both technical and non-technical stakeholders. You will play a key role in developing and maintaining our platform, utilizing large-scale data to derive insights and drive business value, while working on both front-end and back-end components.What We Value:<ul><li>A highly analytical approach with an eagerness to solve technical problems using data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools.</li><li>Experience or curiosity about working with large-scale data to address valuable business challenges.</li><li>The ability to collaborate efficiently within teams of diverse backgrounds, including technical and non-technical individuals.</li><li>Comfort in a dynamic environment with evolving objectives, with a strong focus on iteration and user feedback.</li></ul>What We Require:<ul><li>Minimum 7 years relevant work experience with a strong engineering background, preferably in Computer Science, Mathematics, Software Engineering, Physics, Data Science, or a related discipline.</li><li>Proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar.</li><li>Minimum 7 years' experience with both front-end and back-end development, including but not limited to:<ul><li>Front-end development with TypeScript and JavaScript frameworks.</li><li>Back-end development using Apache Spark or similar technologies.</li></ul></li><li>Strong problem-solving skills and the ability to think critically about complex technical issues.</li><li>Strong communication skills and the ability to explain technical concepts to non-technical audiences.</li></ul>Responsibilities:<ul><li>Design, build, and maintain scalable and reliable platform solutions, focusing on end-to-end data pipelines.</li><li>Collaborate with cross-functional teams to identify and solve technical challenges across the stack.</li><li>Utilize large-scale data to inform decision-making and enhance platform capabilities.</li><li>Contribute to the development of best practices in software engineering and data management, with an emphasis on end-to-end data science workflows.</li><li>Participate in code reviews and provide constructive feedback to peers.</li><li>Continuously learn and stay updated on emerging technologies and industry trends.</li></ul><h4>Experience Level</h4>Senior Level

Johnson Controls Ltd

Data Scientist

Bigdata TesterMust Have:<ul><li>5+ years of strong experience on Bigdata, HDFS, Hive</li><li>3+ years of strong experience on ETL testing,</li><li>3+ years of strong experience on SQL</li><li>2+ years of experience on health care domain</li></ul> Experience: 6+ Years Share your updated resume now.

SP Software Pvt Ltd

Software Tester

Oracle Cloud Infrastructure (OCI) - Principal Member of Technical Staff/Solutions Architect - Product Development – Gen AI and AI Solutions EngineeringOracle Cloud Infrastructure blends the speed of a startup with the scale of an enterprise leader. Our Generative AI Solutions team builds advanced AI solutions that run on powerful cloud infrastructure tackling real-world, global challenges. As part of this team, you'll contribute to large-scale cloud solutions utilizing cutting-edge machine learning and Generative AI technologies, aimed at addressing complex global challenges.Join our OCI Gen-AI Solutions team to build cutting-edge AI applications that tackle global challenges. We’re seeking an experienced Principal Machine Learning Engineer (IC4) to design, develop, and deploy customized Generative AI solutions for strategic customers focusing on Agentic solutions and Retrieval Augmented Generation (RAG). You’ll work closely with applied scientists and product managers to turn innovation into real-world impact.In this role, you will:<ul><li>Design, build, and deploy cutting-edge machine learning and generative AI solutions, with a focus on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search.</li><li>Collaborate with scientists, engineers, and product teams to turn complex problems into scalable, cloud-ready AI solutions for enterprises.</li><li>Run experiments, explore new algorithms, and push the boundaries of AI to optimize performance, customer experience, and business outcomes.</li><li>Ensure ethical and responsible AI practices in all solutions.</li></ul>We’re looking for a Principal Machine Learning Engineer with deep expertise in applied ML/AI, hands-on experience building production-grade solutions, and the creativity to innovate at the intersection of AI and enterprise cloud.As part of the OCI Gen AI Solutions Engineering for strategic customers team, you will be responsible for developing innovative Agentic workflows and solutions for our strategic customers. As a Principal member of the technical staff, you'll be part of the development of advanced Gen AI solutions using the latest ML technologies combined with Oracle's cloud expertise. Your work will significantly impact sectors like financial services, telecom, healthcare, and code generation by creating distributed, scalable, high-performance solutions for strategic customers.<ul><li>Work directly with key customers and accompany them on their Gen AI journey – understanding their requirements, help them envision and design and build the right solutions and work together with their ML engineering to remove blockers.</li><li>Design and implement agentic workflows using diverse frameworks, incorporating prompt engineering to optimize performance.</li><li>You will dive deep into model structure to optimize model performance and scalability. </li><li>You will build state of art solutions with brand new technologies in this fast-evolving area. </li><li>You will configure large scale OpenSearch clusters, setting up data ingestion pipelines to get the data into the OpenSearch.</li><li>You will diagnose, troubleshoot, and resolve issues in AI model training and serving. You may also perform other duties as assigned.</li><li>Build re-usable solution patterns and reference solutions / showcases that can apply across multiple customers.</li><li>Be an enthusiastic, self-motivated, and a great collaborator.</li><li>Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc.</li></ul>Qualifications<ul><li>Bachelor’s or Master’s degree in Computer Science or related technical field, with 10+ years of experience in AI, ML, or data-driven solution development.</li><li>Proven track record designing, building, and deploying scalable AI/ML solutions in production environments.</li><li>Deep expertise in Large Language Models (LLMs), Generative AI, Agentic solutions, and advanced ML techniques (fine-tuning, prompt engineering, model optimization).</li><li>Strong experience with OpenSearch, vector databases, data ingestion pipelines, and large-scale search optimization.</li><li>Skilled in diagnosing, troubleshooting, and resolving issues in AI model training and serving.</li><li>Hands-on experience with MCP, NLP, NLU, RAG architectures, Agents, and modern AI frameworks (e.g., LangChain, LangGraph LlamaIndex).</li><li>Proficient in Python and shell scripting, with familiarity in deep learning frameworks (PyTorch, TensorFlow, JAX, or Transformers).</li><li>Experience with popular model training and serving frameworks like KServe, KubeFlow, Triton etc.</li><li>Excellent communication skills for translating complex technical concepts into clear proposals, designs, and presentations.</li><li>Collaborative mindset with experience working closely with product managers, engineers, and customers.</li><li>Ability to mentor and guide junior data scientists or ML engineers.</li><li>Experience acting as a technical evangelist, presenting at conferences, customer briefings, or industry events.</li></ul>Career Level - IC4As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing <a href="mailto:accommodation-request_mb@oracle.com" rel="nofollow" target="_blank">accommodation-request_mb@oracle.com</a> or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. <h4>Experience Level</h4>Senior Level

Oracle India Private Limited

Technical Support Manager

ML Engineer Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks a Machine Learning Engineer to join our Core AI &amp; Machine Learning team.Responsibilities<ul><li>Developing data pipelines for collecting, processing, and analyzing diverse datasets.</li><li>Design and implement deep learning architectures for large volumes of data.</li><li>Conduct experiments and tests to evaluate model performance.</li><li>Contribute to optimizing and fine-tuning existing machine learning models.</li><li>Build pipelines for monitoring, managing and constantly improving production ML/DL models.</li></ul>Qualifications<ul><li>A bachelor’s, master's, or PhD (complete) degree or equivalent from a top university, with 2-6 years of experience.</li><li>Prior experience with training, building, and deploying large scale deep learning models is mandatory.</li><li>Prior experience designing and implementing sequence and time series models is required.</li><li>Experience with Git, CI/CD pipelines and MLOps for automating model deployments.</li><li>Skilled in using Linux, SQL, Git, and BASH scripting.</li><li>Strong knowledge of Python and hands-on (Pytorch/Tensorflow).</li></ul>

Tower Research Capital Markets India Pvt Ltd

Data Annotation Engineer

Big Data Developer Mandatory Skills- AWS, Scala, Spark, HadoopExperience- 3.5 to 9 years Share your updated resume now.

Coforge

Senior Associate Data Engineering L2 DE - Big Data Azure The Senior Associate People Senior Associate L2 in Data Engineering, you will translate client requirements into technical design, and implement components for a data engineering solutions. Utilize a deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution&nbsp;&nbsp;Your Impact:<ul><li>Data Ingestion, Integration and Transformation</li><li>Data Storage and Computation Frameworks, Performance Optimizations</li><li>Analytics &amp; Visualizations</li><li>Infrastructure &amp; Cloud Computing</li><li>Data Management Platforms</li><li>Build functionality for data ingestion from multiple heterogeneous sources in batch &amp; real-time</li><li>Build functionality for data analytics, search and aggregation</li></ul> QualificationsYour Skills &amp; Experience:<ul><li>Minimum 3 years of experience in Big Data technologies</li><li>Hands-on experience with the Hadoop stack – HDFS, sqoop, Kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow, and other components required in building end-to-end data pipelines. Working knowledge of real-time data pipelines is added advantage.</li><li>Strong experience in at least the programming language Java, Scala, and Python. Java preferable</li><li>Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDB, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery, etc.</li><li>Well-versed and working knowledge with data platform-related services on Azure</li><li>Bachelor’s degree and year of work experience of 6 to 8 years or any combination of education, training, and/or experience that demonstrates the ability to perform the duties of the position</li></ul> Set Yourself Apart With:<ul><li>Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands-on experience</li><li>Knowledge of data governance processes (security, lineage, catalog) and tools like Collibra, Alation, etc</li><li>Knowledge of distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search &amp; indexing, and Microservices architectures</li><li>Performance tuning and optimization of data pipelines</li><li>Cloud data specialty and other related Big data technology certifications</li></ul>

Publicis Sapient Consulting Pvt Ltd

Data Engineer

Business Analytics -MDM | 1-2 years experienceAbout Gartner IT:Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients.  We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner.  Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team. About the roleThis role will provide support for customer and business processes (including but not limited to Customer, Account and Enterprise data management) with focus on process improvement and addressing client/customer needs. The primary focus will be around maintaining the overall data quality and accuracy of our client data that’s leveraged in dashboards, reporting and analysis throughout the enterprise. Our main objective is data quality across each domain and the alignment between contacts &amp; accounts, and accounts and enterprises.As a Business Analytics Specialist (MDM Stewardship), you will play a critical role in ensuring the accuracy and consistency of our master data. You will work closely with sales teams, conducting research and analysis to resolve data-related issues and improve data quality. If you're looking for a challenging and rewarding role that combines data management with stakeholder engagement, apply now!What you will do:<ul><li>Focus on identifying and correcting data quality issues within the MDM contact and account domains while curating data insights that will ultimately improve the value of data across Gartner </li><li>Conduct research to gather and verify corporate hierarchies, annual revenue, industry classifications, locations, and other firmographic details.</li><li>Research questionable companies to identify missing or invalid company addresses </li><li>Perform changes across Gartner’s systems upon discovery of existing duplicates or errors </li><li>Independently complete assignments with little to no oversight </li><li>Deliver all assignment work within quality standards and on time, often within tight deadlines </li></ul>What you will need:<ul><li>Experience: 1-3 years of experience in Sales Support or Service Support in a product or service-based company.</li><li>Graduate/Post graduate in BE/Btech, ME/MTech or MCA is preferred.</li><li>Knowledge of sales cycles and basic understanding of Contacts, Accounts, and Enterprises is a plus.</li><li>Strong research and analytical skills</li><li>Experience with ticketing systems (e.g., ServiceNow, Zoho, Zendesk) is a plus</li><li>Excellent verbal and written English Communication Skills </li><li>Familiarity with business information providers (e.g., Dun &amp; Bradstreet, S&amp;P).</li><li>Basic SQL knowledge </li><li>Attention to detail and accuracy</li><li>Ability to learn quickly </li><li>Ability to work independently and manage multiple tasks.</li></ul>Don’t meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles.#LI-SS9Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities.Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance.We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a <a href="https://jobs.gartner.com/life-at-gartner/life-at-gartner/gartner-s-awards-and-recognitions/" rel="noopener noreferrer" target="_blank">great place to work</a>.What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity.Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to <a href="mailto:ApplicantAccommodations@gartner.com?subject=Request%20for%20Applicant%20Accommodations" rel="noopener noreferrer" target="_blank">ApplicantAccommodations@gartner.com</a>.Job Requisition ID:100494By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence.Gartner Applicant Privacy Link: <a href="https://jobs.gartner.com/applicant-privacy-policy" rel="noopener noreferrer" target="_blank">https://jobs.gartner.com/applicant-privacy-policy</a> For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.<h4>Experience Level</h4>Mid Level

Gartner India Research & Advisory Services Private Limited

Business Analyst

HR Data Science Analyst IIWorking with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: <a href="https://careers.bms.com/working-with-us" rel="noopener noreferrer" target="_blank">careers.bms.com/working-with-us</a>.Roles &amp; Responsibilities<ul><li>Hands-on HR Data Scientist that will be expected to ideate, design, develop, model and deploy advanced solutions</li><li>Collaborate with stakeholders to define project objectives, formulate data-driven hypotheses and identify KPIs for analysis</li><li>Gather, pre-process and explore large-scale structured and unstructured data from diverse sources, including clinical trials, patient records and genetic data</li><li>Apply advanced statistical analysis, machine learning algorithms and predictive modelling techniques to extract insights and develop models that drive actionable recommendations</li><li>Conduct exploratory data analysis (EDA) to identify patterns and anomalies in the data and propose solutions to business problems</li><li>Develop and implement predictive models (e.g., regression, clustering, time series forecasting) to solve complex business challenges</li><li>Collaborate with data engineers and IT teams to ensure data availability, quality, and reliability for analysis and modeling</li><li>Communicate complex analytical findings and insights to both technical and non-technical stakeholders through clear and compelling visualizations, reports and presentations</li><li>Stay up-to-date with the latest methodologies and best practices in statistical analysis, machine learning, and the HR Industry</li><li>Mentor and provide guidance to junior data scientists and actively participate in knowledge sharing and team development</li></ul>Skills and competencies<ul><li>Experience with building and deploying data science and data engineering solutions using established industry methods (MLOps,Git) to Complex datasets is preferred</li><li>Proficiency in programming languages such as Python and SQL</li><li>Familiarity with data visualization tools such as Tableau or Power BI for effective communication of findings</li><li>Strong understanding of experimental design, hypothesis testing and A/B testing methodologies</li><li>Excellent problem-solving skills and the ability to think critically and creatively to tackle complex business challenges</li><li>Excellent communication and presentation skills to convey complex concepts to technical and non-technical stakeholders</li><li>Strong organizational and time management skills, with the ability to prioritize tasks and meet deadlines in a fast-paced environment</li></ul>Experience<ul><li>We welcome a bachelor’s or master's in a relevant field such as Data Science, Statistics, Computer Science or Engineering in any stream preferably from a Tier-1 institute</li><li>Proven experience (typically 2 to 5 years) in a data science role, preferably with HR data but not a must have</li><li>Strong background in statistical analysis, machine learning, and predictive modelling techniques</li><li>Experience in handling and analyzing large-scale structured and unstructured data sets using SQL or similar technologies</li><li>Demonstrated ability to develop and implement predictive models and machine learning algorithms</li><li>Experience working with complex datasets is highly desirable</li></ul>If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.On-site ProtocolBMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to <a href="mailto:adastaffingsupport@bms.com" rel="noopener noreferrer" target="_blank">adastaffingsupport@bms.com</a>. Visit <a href="https://careers.bms.com/eeo-accessibility" rel="noopener noreferrer" target="_blank">careers.bms.com/</a><a href="https://careers.bms.com/eeo-accessibility" rel="noopener noreferrer" target="_blank">eeo</a><a href="https://careers.bms.com/eeo-accessibility" rel="noopener noreferrer" target="_blank">-accessibility</a> to access our complete Equal Employment Opportunity statement.BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: <a href="https://careers.bms.com/california-residents/" rel="noopener noreferrer" target="_blank">https://careers.bms.com/california-residents/</a>Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.<h4>Experience Level</h4>Mid Level

Bristol-Myers Squibb India Pvt Ltd

Human Resources Specialist

Lead Data Engineer (AWS, PostgreSQL, Python) We're hiring below position:Job Role: Lead Data Engineer (AWS, PostgreSQL, Python)Job ID: EXP/077/7777Experience: 7-10 YrsKey Skills: PostgreSQL, Python, AWS, SQL Note:These roles are for experienced professionals onlyImmediate joiners preferredFreshers, please do not applyLooking forward to connecting with the right candidates!&nbsp;

Experion Technologies India Pvt Ltd

Deputy ManagerPotential candidates should have knowledge in general math modeling, Statistical Modelling (ML)  and simulation techniques. Candidates should have hands-on experience in developing quantitative models. They should possess the ability to translate a business problem into an analytical problem, recommend, implement and validate quantitative models, and generate/deliver insights to stakeholders. Preference would be given to candidates that are intellectually curious, innovative thinkers, and have demonstrated ability to solve problems independentl <ul><li>Collaborate with cross-functional teams to understand the business, customer personas and customer pain points, and develop a strong understanding of Ford Credit business to provide the right analytical solutions.</li><li>Responsible for collecting and analyzing data to provide valuable insights to product teams.</li><li>Responsible for data analysis, data mapping, data extraction, data preparation, data cleansing, data querying, and data visualization.</li><li>Generate reports and analyses and present findings to aid decision-making. </li><li>Aggregate large data sets in Tableau, PowerBI, Excel, Qliksense, GCP Looker, GCP BigQuery or other analytical tools for analysis. </li><li>Contribute to data collection discussions, identifying critical information and data sources.</li><li>Create, validate, deploy, and monitor performance of statistical models based on large datasets.</li><li>Create and maintain dashboards, automated reports, report templates &amp; presentations using data visualization tools such as Tableau or Power BI. Responsible for producing reports on daily/weekly/monthly reporting on business trends and the status of digital experience. </li><li>Leverage a wide range of statistical techniques and tools.</li><li>Ensure overall quality of the data and solutions throughout the analytical development process.</li><li>Create business-critical data visualizations and compelling stories and presentations from data.</li><li>Designing, developing, deploying and maintaining business intelligence and analytics solutions that turn data into knowledge</li></ul>Bachelor’s degree in a quantitative field such as Statistics, Biostatistics, Mathematics, Computer Science, Econometrics, Physics, Engineering, Data Science <h4>Experience Level</h4>Mid Level

Ford Motor

Deputy Manager

Python GenAI Developer We're hiring-𝐉𝐨𝐛 𝐑𝐨𝐥𝐞: Python GenAI Developer𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐫𝐞𝐪𝐮𝐢𝐫𝐞𝐝: 4 to 12 years 𝐖𝐡𝐨 𝐰𝐞'𝐫𝐞 𝐥𝐨𝐨𝐤𝐢𝐧𝐠 𝐟𝐨𝐫:• Strong proficiency in Python and AI/ML libraries like 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐞𝐫𝐬, 𝐏𝐲𝐓𝐨𝐫𝐜𝐡, 𝐓𝐞𝐧𝐬𝐨𝐫𝐅𝐥𝐨𝐰, 𝐋𝐚𝐧𝐠𝐂𝐡𝐚𝐢𝐧, Langgraph, LangChain, LamaIndex, Autogen CrewAI.• Experience with LLMs, prompt engineering, and 𝐟𝐢𝐧𝐞-𝐭𝐮𝐧𝐢𝐧𝐠 𝐦𝐨𝐝𝐞𝐥𝐬.• Familiarity with Azure OpenAI, Azure Machine Learning, and cloud-native AI services.• Knowledge of REST APIs, FastAPI, or Flask for model deployment.• Experience with 𝐯𝐞𝐜𝐭𝐨𝐫 𝐝𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬 (e.g., FAISS, Pinecone) and retrieval-augmented generation (𝐑𝐀𝐆).• Solid understanding of 𝐍𝐋𝐏 𝐟𝐮𝐧𝐝𝐚𝐦𝐞𝐧𝐭𝐚𝐥𝐬 and GenAI workflows.• Strong communication and stakeholder engagement skills.• Experience with SQL/NoSQL databases and vector stores.• Immediate Joiner Required - Full time 𝐖𝐡𝐚𝐭 𝐲𝐨𝐮'𝐥𝐥 𝐝𝐨:• Develop and deploy GenAI applications using Python and frameworks like 𝐋𝐚𝐧𝐠𝐂𝐡𝐚𝐢𝐧, 𝐇𝐮𝐠𝐠𝐢𝐧𝐠 𝐅𝐚𝐜𝐞, 𝐚𝐧𝐝 𝐎𝐩𝐞𝐧𝐀𝐈 𝐒𝐃𝐊𝐬.• Work with Azure OpenAI and other cloud-based AI services to build intelligent solutions.• Contribute to reusable components, accelerators, and best practices for GenAI development.

Capgemini

Python Developer

Analytics Solutions ManagerYou are a strategic thinker passionate about driving solutions in Analytics Solutions. You have found the right team.As the Analytics Solutions Manager within the Strategy, Innovation &amp; Governance Data team, you will lead a team to deliver data insights, visualizations, and metrics dashboards for Payments Operations. You will be responsible for analyzing business requirements, designing, building, testing, and producing data insights to aid management decisions. Additionally, you will manage and mentor your team to ensure they meet their targets. Job responsibilities<ul><li>Lead, mentor, and manage a team of associates, fostering a culture of innovation and continuous improvement</li><li>Perform data mining, analytics, and problem solving</li><li>Analyzing business requirements, designing, building and testing to ensure the delivery of high-quality data insights and visualizations.</li><li>Work closely with Product Owners and Operations to develop requirements and implement new capabilities</li><li>Understanding of the data sources to use and ensure team standards are adhered to</li><li>Proactively engage to mitigate risk through continuous process improvement, root cause analysis, and collaboration with Operations teams</li><li>Embrace continuous learning as new tools and technologies become available to the team</li></ul> Required qualifications, capabilities and skills<ul><li>Earn a Bachelor's or Master’s degree in a quantitative field or achieve an equivalent combination of education and/or business experience.</li><li>Minimum15+ years of experience in business system analysis or business application design and development roles. </li><li>Acquire extensive knowledge of database design and relational database principles, with prior experience in large-scale data warehouses.</li><li>Work with Business Intelligence tools (Tableau, Business Objects).</li><li>Experience Agile methodologies or the Software Development Life Cycle (SDLC).</li><li>Proactively motivate oneself and remain flexible with a positive attitude; efficiently multitask and work independently under pressure to deliver business demands on time, to a high-level standard.</li><li>Excel in team-working skills, developing and maintaining strong relationships with team members, peers, and internal and external management, contributing beyond core roles and responsibilities.</li><li>Analyze and solve problems with excellent analytical skills, providing sound recommendations to management.</li></ul> Preferred qualifications, capabilities and skills<ul><li>Understand operations within the banking industry, preferably with knowledge of payment processing.</li><li>Prior experience with SQL, Python, Alteryx, or another programming language in a work-related capacity.</li><li>Proficiency with querying enterprise databases using SQL to obtain relevant data for analysis</li><li>Experience with writing code using in SQL / Pyspark and perform statistical description</li><li>Experience with Tableau</li><li>Proven strong analytical and communication skills</li><li>Aptitude and curiosity for developing automated solutions to solve business problems</li></ul>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our <a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" rel="nofollow" target="_blank">FAQs</a> for more information about requesting an accommodation.<h4>Experience Level</h4>Senior Level

JP Morgan Services India Pvt Ltd

Business Intelligence and Analytics Manager

Data Engineer <ul><li>Required Expertise: Azure Databricks, PySpark, SQL</li><li>Experience: 5+ Years ONLY</li><li>Availability: Immediate to 45 days</li></ul> Share your updated resume now.

Infocepts Technologies Pvt Ltd

Machine Learning Data Scientist About the Role Join our dynamic team to design, develop &amp; deploy ML models for Time Series/Deep Learning Predictive Modeling, Forecasting. Work with large datasets, optimize models for scale, and drive real-world impact. You’ll Work On: <ul><li>Predictive analytics, classification, Time Series/Deep Learning, Forecasting</li><li>Large-scale data wrangling &amp; model optimization</li><li>Cross-functional collaboration with Data Eng, Product &amp; Business</li><li>Staying ahead with the latest ML tools &amp; techniques</li></ul> You Bring: <ul><li>5 years in ML/Data Science</li><li>Python, SQL, Scikit-learn, TensorFlow/PyTorch</li><li>Time Series/Deep Learning Predictive Modeling, Forecasting</li><li>Strong stats &amp; model evaluation skills</li><li>Cloud Azure along with AWS &amp; GCP</li></ul> <ul><li>5-12 Years Experience</li><li>Immediate Joiners Only (Serving NP or &lt;15 Days)</li></ul> Share your updated resume now.

AI Resume builder

AI Resume checker

AI Cover letter generator

Blog

Data Science & Analytics Jobs - 1934 Verified Vacancies

Data Scientist

Software Tester

Technical Support Manager

Data Annotation Engineer

Data Scientist

Data Engineer

Business Analyst

Human Resources Specialist

Data Engineer

Deputy Manager

Python Developer

Business Intelligence and Analytics Manager

Data Engineer

Data Scientist

Know more about Data Science Analytics Jobs In Ghaziabad