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consultant (data engineer)

data science intern

Microsoft

<div>
 
 Overview
 
 
 
 Come build community, explore your passions and do your best work at Microsoft with thousands of University interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential&mdash;and excitement for the journey ahead.
 
 
 As a Data Scientist Intern at Microsoft, you will use machine learning, statistics, experiments, and more to build and improve great products while making business impact. As a Data Scientist intern you will collaborate with stakeholders, formulate approaches to solve problems and use algorithms and data sources in the context of business and engineering needs. You will also be able to combine your engineering abilities with analytical skills to make customer experiences better. Our Data Scientists use innovative methods, algorithms and tools daily to drive results throughout Microsoft devices, operating systems, products, and services and provide novel insights into business and customer scenarios.
 
 
 At Microsoft, Interns work on real-world projects in collaboration with teams across the world, while having fun along the way. You&rsquo;ll be empowered to build community, explore your passions and achieve your goals. This is your chance to bring your solutions and ideas to life while working on cutting-edge technology.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Formulate approaches to solve problems using well defined algorithms and data sources
 </li>
 <li>
 Incorporate an understanding of product functionality and customer perspective to provide context for those problems.
 </li>
 <li>
 Use data exploration techniques to discover new questions or opportunities within your problem area and propose applicability and limitations of the data.
 </li>
 <li>
 Interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve.
 </li>
 <li>
 Engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers.
 </li>
 <li>
 Participate in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Currently pursuing a Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field.
 </li>
 <li>
 Must have at least one additional quarter/semester of school remaining following the completion of the internship
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Data Science INTERN

Calix

<div>
 Calix is seeking a highly motivated and talented intern with programming experience in the Java/J2EE stack. The ideal candidate will possess strong analytical skills, an eagerness to learn, and be an engineering graduate preferably in computer science or a related field. This internship will provide you with the opportunity to work on meaningful projects that enhance your learning and business experience.
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Collaborate with team members to gather and analyze requirements.
 </li>
 <li>
 Assist in the design and development of scalable and reliable data pipelines.
 </li>
 <li>
 Work with big data technologies such as Hadoop, Spark, Kafka, AWS/GCP.
 </li>
 <li>
 Clean, transform, and aggregate data from various sources into usable formats.
 </li>
 <li>
 Develop and maintain data processing pipelines for large datasets.
 </li>
 <li>
 Monitor and troubleshoot data pipeline performance and reliability.
 </li>
 <li>
 Document processes and prcedures for internal teams.
 
 
 
 </li>
 </ul>
 Qualifications:
 
 
 <ul>
 <li>
 Graduated in 2025 / 2024 with BE / BTech in Computer Science, Software Engineering, or a related field.
 </li>
 <li>
 Familiar with data engineering concepts and technologies such as Hadoop, Apache Spark, Presto, Dataflow, DataStream and databases such as MYSQL or PostgreSWL / Alloy DB
 </li>
 <li>
 Strong knowledge of databases (SQL/NoSQL) and querying techniques.
 </li>
 <li>
 Strong foundation in programming languages like scala, Java or Python.
 </li>
 <li>
 Understanding of databases (SQL and NoSQL) and data warehousing solutions like Google BigQuery.
 </li>
 <li>
 Familiar with cloud technologies such as AWS, Azure, or GCP
 </li>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 <li>
 Eagerness to learn and adapt to new technologies in the data domain.
 </li>
 <li>
 Must understand basic computer programming concepts, data structures and object-oriented programming.
 </li>
 <li>
 Familiar with version control systems (e.g., Git) and CI/CD pipelines.
 </li>
 <li>
 Able to work independently and in a team environment.
 </li>
 <li>
 Strong communication skills with the ability to effectively communicate in a virtual environment.
 
 
 
 </li>
 </ul>
 Location:
 
 
 <ul>
 <li>
 Bangalore
 </li>
 </ul>
</div>

Graduate Trainee

Stripe

<div>
 Who we are
 
 
 
 About Stripe
 
 
 
 Stripe is a financial infrastructure platform for businesses. Millions of companies&mdash;from the world&rsquo;s largest enterprises to the most ambitious startups&mdash;use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone&rsquo;s reach while doing the most important work of your career.
 
 
 
 About The Team
 
 
 
 Our internship program will provide an opportunity to work on meaningful products that will grow the GDP of the internet. Through the internship, you will work with many systems and technologies, gain experience in systems design and testing, and have opportunities to present your work to your team and the wider org. Each intern has a dedicated intern manager, and every project is part of the team&rsquo;s roadmap and will directly help Stripe&rsquo;s mission.
 
 
 What you&rsquo;ll do
 
 
 Every internship at Stripe centers around a real, legitimate project that our customers urgently need, touching many parts of our operations and stack. We will support you in shipping it. Yes, you will actually ship it. Some recent projects include rebuilding our statistics aggregation service, building new service discovery systems, and many user facing projects like making it easy to understand error messages on Stripe Checkout. As a Stripe intern, you'll be tackling important projects to increase global commerce, while working alongside exceptional people who insist on doing their best work. You&rsquo;ll learn from people with high standards who are great at inspiring others to do more and go further. We value technical and personal growth, and see our internship program as a vehicle to foster both.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Write software that will be used in production, and has meaningful impact to Stripe
 </li>
 <li>
 Give and receive technical feedback through code reviews or design discussions
 </li>
 <li>
 Collaborate with other engineers and cross-functional stakeholders to proactively seek and incorporate feedback
 </li>
 <li>
 Learn quickly by asking great questions, by working with your intern manager and teammates effectively, and by communicating the status of your work clearly
 
 
 
 </li>
 </ul>
 Who you are
 
 
 We&rsquo;re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
 
 
 
 Minimum Requirements
 
 
 
 <ul>
 <li>
 A strong fundamental understanding of computer science through pursuit of a Bachelor&rsquo;s, Master&rsquo;s, or PhD degree in computer science, math, or a related discipline
 </li>
 <li>
 Some experience and familiarity with programming, either through side projects or classwork. We work mostly in Java, Ruby, JavaScript, Scala, and Go. We believe new programming languages can be learned if the fundamentals and general knowledge are present
 </li>
 <li>
 Experience from previous internships or other multi-person projects, including open source contributions, that demonstrate evaluating and receiving feedback from mentors, peers, and stakeholders
 </li>
 <li>
 Ability to learn unfamiliar systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 At least 2 years of university education, or equivalent work experience
 </li>
 <li>
 One or more areas of specialized knowledge balanced with general skills and knowledge, such as knowing more frontend technologies and, at a high level, how a service handles an HTTP request
 </li>
 <li>
 Understanding and some experience writing high quality pull requests, with good test coverage, and working knowledge to complete projects with minimal defects
 </li>
 <li>
 Familiarity with navigating and managing your work in new code bases, with multiple languages
 </li>
 <li>
 Ability to write clearly to explain your work to stakeholders, team members, and other Stripes
 
 
 
 </li>
 </ul>
 In-office expectations
 
 
 Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in our Bucharest, Romania site have an 80% in-office expectation, and those in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible.
 
 
 Pay and benefits
 
 
 Stripe does not yet include pay ranges in job postings in every country. Stripe strongly values pay transparency and is working toward pay transparency globally.
</div>

Software Engineer, Intern

<div>
 
 Overview
 
 
 
 Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day? Then, come join us!
 
 
 The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges.
 
 
 We work closely with our customers&rsquo; engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.
 
 
 We are hiring a Senior Data Scientist to help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services. Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.
 
 
 As part of our team, you will thrive in working with a variety of technologies, not just Microsoft technology. You will solve exciting business problems, contribute to open source, and collaborate with Microsoft product teams.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 You will acquire the data necessary for your project plan and develop usable data sets for modeling. You&rsquo;ll also update internal best practices for data collection and preparation, and contribute to data integrity conversations with customers.
 </li>
 <li>
 You will evaluate your team&rsquo;s models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. You&rsquo;ll also conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods.
 </li>
 <li>
 You will research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices. You&rsquo;ll also write extensible code that spans multiple features, and develop expertise in proper debugging techniques.
 </li>
 <li>
 You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. You&rsquo;ll also apply a customer-oriented focus to understand their needs, and help drive realistic customer expectations.
 </li>
 <li>
 You will embody our culture and values.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Required/Minimum Qualifications (RQs/MQs)
 
 
 <ul>
 <li>
 Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 </li>
 <li>
 OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 </li>
 <li>
 OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 </li>
 <li>
 OR equivalent experience.
 </li>
 <li>
 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
 
 
 </li>
 </ul>
 
 Additional Or Preferred Qualifications (PQs)
 
 
 
 <ul>
 <li>
 Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 </li>
 <li>
 OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 </li>
 <li>
 OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results
 </li>
 <li>
 OR equivalent experience.
 </li>
 <li>
 Enjoy travel and are comfortable with travel up to 25%
 
 
 </li>
 </ul>
 Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world!
 
 
 At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. Within ISE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers.  It&rsquo;s an informal and flexible work environment and you&rsquo;ll be welcome to work in the way that best enables you to get your job done.
 
 
 We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
 
 
 Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
 
 
 #ISEngineering
 
 
 #WSS
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Senior Data Scientist

Axtria - Ingenious Insights

<div>
 
 
 Core Responsibilities:
 
 As a Clinical Data Scientist, you will independently perform data analysis, data mining on various clinical trial data sources. You will develop, test, productionize and maintain AI/ML/GenAI models. You will leverage cloud-based solutions for scalable data processing and collaborate with cross-functional teams to deliver cutting edge data science solutions.
 
 
 
 
 
 
 Skills and Experience
 
 :
 
 
 
 
 
 
 Domain Experience:
 
 
 <ul>
 <li>
 Should have knowledge of Clinical R&amp;D domain with hands on experience on data sources from one more clinical business functions e.g. Clinical Operations, Biometrics, Drug Safety, Medical Affairs, Real-World Data (RWD), Laboratory data, Regulatory data sources etc.
 </li>
 <li>
 Should have good understanding and hands-on experience on curating, analyzing, and mining data from very clinical data sources e.g. CTMS, EDC, IRT, Labs, EHR kind RWD sources. Should have working knowledge of CDISC clinical data standards e.g. CDASH, SDTM, ADaM, FHIR etc.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Proficient in developing models with Python/PySpark. Experience with Databricks or Dataiku DSS (Data Science Studio) platforms would be an advantage. Highly skilled in creating, testing, deploying, and maintaining state of the art AI/ML/GenAI solutions.
 </li>
 <li>
 Skilled in statistical and probabilistic methods e.g. SVM, Decision-Trees, Bagging, Boosting, Clustering, Time Series Analysis etc. Experience in core NLP techniques e.g. Text Classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, etc.
 </li>
 <li>
 Experience/knowledge of LLMs, LSTMs, GRUs, transformers will be an advantage. Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence is expected. A good understanding of any of the cloud platforms &ndash; AWS, Azure or GCP.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Work closely with cross-functional teams, including clinical data engineers, clinical data modelers, front end developers, QA/CSV specialists, clinical SMEs, project managers, and cloud/infrastructure professionals, to understand project requirements and deliver high-quality solutions.
 </li>
 <li>
 Maintain thorough documentation of methodologies, processes, and results of the models. Prepare and present detailed reports on assigned projects to stakeholders, including client and internal leadership illustrating the impact and effectiveness of data-driven strategies.
 </li>
 </ul>
 
 
 
 
 
 Location:
 
 Gurugram, Noida, Bengaluru, Hyderabad, Pune
 
 
 
 
 
 
 Qualifications:
 
 
 <ol>
 <li>
 A Master's or Ph.D. degree in Data Science, Computer Science, Statistics, Life Sciences, or a strong experience in clinical data science is preferred.
 </li>
 <li>
 At least 8 years of hands-on experience in data analysis, data mining, and predictive analytics, preferably within the context of clinical R&amp;D.
 </li>
 <li>
 Strong understanding of clinical R&amp;D processes in life sciences organizations and the data and technologies used in these processes.
 </li>
 <li>
 Proven programming skills in Python/PySpark. Experience with machine learning frameworks like TensorFlow, Keras, PyTorch, or Scikit-learn.
 </li>
 <li>
 Proficiency in using analytical and data visualization tools such as SQL, Tableau, Power BI, or similar platforms.
 </li>
 <li>
 Excellent communication skills with the ability to convey complex data-driven insights to non-technical stakeholders.
 </li>
 <li>
 Results-oriented mindset, with a focus on defining and measuring success and delivering tangible outcomes.
 </li>
 <li>
 High ethical standards and integrity, with a commitment to compliance and transparency.
 </li>
 </ol>
</div>

Clinical Data Scientist

Walmart Global Tech India

<div>
 Position Summary...
 
 
 What you'll do...
 
 
 
 About the Team:
 
 
 
 Last Mile Strategy &amp; Science Team is a cross-functional team driving Walmart&rsquo;s last-mile innovation by combining strategic thinking, advance analytics and data science, and operational excellence. We design and execute strategic initiatives, develop metrics and performance frameworks, and build AI-enabled insight engines that help identify opportunities, guide decisions, and drive execution at scale.
 
 
 
 What You'll do:
 
 
 
 <ul>
 <li>
 Analyze complex business problems related to cost-to-serve optimization, delivery speed, customer and driver experience.
 </li>
 <li>
 Conduct scoping, research, and quantitative analysis, including scenario modelling, experimentation, and business case development.
 </li>
 <li>
 For candidates with a data-science focus: design and deploy predictive models, ML algorithms, simulations, and AI-enabled tools to optimize driver supply, batching, routing, and catchment strategies.
 </li>
 <li>
 For candidates with a strategy focus: drive problem-framing, solution design, and pilot execution, translating data-driven insights into scaled operational initiatives.
 </li>
 <li>
 Collaborate with cross-functional partners (Operations, Finance, Tech, Product) to align on priorities and execute initiatives.
 </li>
 <li>
 Build and maintain KPI definitions, dashboards, and reporting frameworks to track progress and ensure visibility of outcomes.
 </li>
 <li>
 Present clear, data-driven insights and recommendations to leadership, influencing decision-making and guiding trade-offs.
 </li>
 <li>
 Contribute to a culture of rigorous problem-solving, innovation, and continuous improvement.
 
 
 </li>
 </ul>
 
 What You'll bring:
 
 
 
 <ul>
 <li>
 4&ndash;9 years of relevant experience:
 </li>
 <ul>
 <li>
 Strategy Track: management consulting or corporate strategy / business operations.
 </li>
 <li>
 Data Science Track: hands-on experience in data science / advanced analytics; MS/PhD in Data Science, Compute Science, Operational Research (preferred)
 </li>
 </ul>
 <li>
 Strong analytical and problem-solving skills; ability to structure ambiguous problems and derive actionable insights from large datasets.
 </li>
 <li>
 Proficiency in tools relevant to your focus area:
 </li>
 <ul>
 <li>
 Strategy: Excel / SQL / visualization tools (preferred).
 </li>
 <li>
 Data Science: Python (or R), SQL, cloud-based data platforms (e.g., Big Query, GCP, Azure), plus experience with experimentation and distributed computing (e.g., Spark, Hive).
 </li>
 </ul>
 <li>
 Capacity to thrive in a fast-paced, evolving environment, managing multiple priorities with high attention to detail.
 </li>
 <li>
 Strong collaboration and stakeholder-management skills, with the ability to work closely with both technical and non-technical partners.
 </li>
 <li>
 Excellent written and verbal communication skills for presenting insights and recommendations to senior leaders.
 </li>
 <li>
 (Preferred) Prior exposure to logistics, supply-chain, or last-mile delivery operations.
 
 
 </li>
 </ul>
 
 About Walmart Global Tech
 
 
 
 Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the worlds leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.
 
 
 We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
 
 
 Walmart&rsquo;s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our [Bangalore/Chennai] office for daily work, with the flexibility for associates to manage their personal lives.
 
 
 
 Benefits
 
 
 
 Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.
 
 
 
 Belonging
 
 
 
 We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.
 
 
 At Walmart, our vision is ''everyone included.'' By fostering a workplace culture where everyone is and feels included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, were able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.
 
 
 
 Equal Opportunity Employer
 
 
 
 Walmart, Inc., is an Equal Opportunities Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions while being welcoming of all people.
 
 
 
 Minimum Qualifications...
 
 
 
 
 
 Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
 
 
 
 
 Minimum Qualifications:Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.
 
 
 
 Preferred Qualifications...
 
 
 
 
 
 Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
 
 
 
 
 
 Primary Location...
 
 
 
 BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India R-2348996
</div>

(IND) SENIOR, DATA SCIENTIST

LTIMindtree

<div>
 
 
 Job Title: Data Scientist &ndash; AI/ML/DL
 
 
 
 
 
 
 
 
 
 
 Location:
 
 PAN India
 
 
 
 
 
 
 
 
 
 About the Role:
 
 
 
 We are seeking a skilled Data Scientist with expertise in AI/ML/DL and Generative AI to join our dynamic team. The ideal candidate will have hands-on experience in advanced AI frameworks, cloud platforms, and modern data science tools.
 
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and deploy AI/ML/DL models for real-world applications.
 </li>
 <li>
 Work on Generative AI solutions and multi-modal language models.
 </li>
 <li>
 Collaborate with cross-functional teams to deliver scalable AI solutions.
 </li>
 <li>
 Optimize models for performance and accuracy across platforms.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 
 Experience:
 
 3&ndash;6 years in Data Science and AI/ML/DL domain.
 </li>
 <li>
 Hands-on experience in
 
 Generative AI
 
 and
 
 Deep Learning
 
 .
 </li>
 <li>
 Strong programming skills in
 
 
 Python
 
 
 
 and familiarity with
 
 
 
 Linux/Windows
 
 
 
 environments.
 
 </li>
 <li>
 
 
 Proficiency with data science toolkits:
 
 
 
 TensorFlow
 
 ,
 
 Keras
 
 ,
 
 PyTorch
 
 ,
 
 Pandas
 
 ,
 
 NumPy
 
 , etc.
 </li>
 <li>
 
 
 Understanding of AI tool stack:
 
 NeMo Framework
 
 ,
 
 NIMs
 
 .
 </li>
 <li>
 
 
 Certifications:
 
 
 
 
 Preferably NVIDIA Certified Associate on GenAI.
 </li>
 <li>
 
 
 Exposure to GenAI frameworks:
 
 
 LangChain, LlamaIndex, LangGraph, CrewAI, Nemo Agent Toolkit (NAT).
 </li>
 <li>
 
 
 Knowledge of DL/GenAI algorithms:
 
 Transformers
 
 ,
 
 CNN
 
 ,
 
 RNN
 
 , etc.
 </li>
 <li>
 Experience with
 
 NLP
 
 ,
 
 Large Language Models
 
 , and multi-modal models like GPT, LLaMa, Mistral, Qwen, Nemotron.
 </li>
 <li>
 Familiarity with
 
 Cloud platforms
 
 : Azure, AWS, or GCP.
 </li>
 <li>
 Experience with
 
 Git
 
 ,
 
 Docker
 
 , and
 
 Kubernetes
 
 .
 </li>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Work on cutting-edge AI/ML projects.
 </li>
 <li>
 Collaborative and innovative work environment.
 </li>
 <li>
 Flexible location across PAN India.
 </li>
 </ul>
 
 
 
</div>

Data Scientist – AI/ML/DL

Explore 235+ Data science intern in Bangalore Jobs In Mangaluru this January. Find roles across top companies and apply now to boost your career.