Trainee Intern Data Science
Posted 13 days ago
Job Viewed
Job Description
Company Overview – WhatJobs Ltd
WhatJobs is a global job search engine and career platform operating in over 50 countries. We leverage advanced technology and AI-driven tools to connect millions of job seekers with opportunities, helping businesses and individuals achieve their goals.
Position: Data Science Trainee/Intern
Location: Commercial Street
Duration: 3 Months
Type: Internship/Traineeship (with potential for full-time opportunities)
Role Overview
We are looking for enthusiastic Data Science trainees/interns eager to explore the world of data analytics, machine learning, and business insights. You will work on real-world datasets, apply statistical and computational techniques, and contribute to data-driven decision-making at WhatJobs.
Key Responsibilities
- Collect, clean, and analyze datasets to derive meaningful insights.
- Assist in building and evaluating machine learning models.
- Work with visualization tools to present analytical results.
- Support the team in developing data pipelines and automation scripts.
- Research new tools, techniques, and best practices in data science.
Requirements
- Basic knowledge of Python and data science libraries (Pandas, NumPy, Matplotlib, Scikit-learn).
- Understanding of statistics, probability, and data analysis techniques.
- Familiarity with machine learning concepts.
- Knowledge of Google Data Studio and BigQuery for reporting and data management.
- Strong analytical skills and eagerness to learn.
- Good communication and teamwork abilities.
What We Offer
- Hands-on experience with real-world data science projects.
- Guidance and mentorship from experienced data professionals.
- Opportunity to work with a global technology platform.
- Certificate of completion and potential for full-time role.
Company Details
Data Science
Posted today
Job Viewed
Job Description
Company Overview
GOVIAFLY CARGO AND LOGISTICS PRIVATE LIMITED is a prominent player in the transportation, logistics, supply chain, and storage industry. Headquartered in Bangalore, we are dedicated to delivering exceptional logistical solutions. With a dynamic team size of 11-50 employees, we specialize in offering comprehensive cargo and logistics services, ensuring efficiency and reliability in each facet of our business. Visit our website at viaflylogistics.com to learn more about our services.
Job Overview
We are seeking a highly motivated Data Science fresher to join GOVIAFLY CARGO AND LOGISTICS PRIVATE LIMITED based in Bangalore Urban. This is a full-time position ideal for candidates with 0 to 1 year of work experience. The successful candidate will play a crucial role in analyzing and interpreting complex data sets to help drive strategic decision-making within the company. Must possess a strong ability in data visualization as an essential skill.
Qualifications and Skills
- Proficiency in data cleaning techniques to ensure data quality and accuracy for reliable insights.
- Strong knowledge of statistical analysis methods to interpret data effectively and draw meaningful conclusions.
- Basic understanding of machine learning principles and algorithms to aid in data-driven decision making.
- Experience with payroll processing, reflecting an understanding of financial data management.
- Data visualization skills to communicate data insights effectively. (Mandatory skill)
- Ability to work independently and collaboratively within a team to achieve common objectives.
- Strong problem-solving skills to address complex data challenges and provide actionable recommendations.
- Excellent communication skills, both written and verbal, to present data findings clearly.
Roles and Responsibilities
- Analyze large datasets to discover trends and patterns that support business objectives.
- Collaborate with team members to understand data requirements and design analytical solutions.
- Develop and implement data models to optimize business processes and improve operational efficiency.
- Create intuitive data visualizations and dashboards to present insights to stakeholders.
- Conduct statistical analysis to evaluate the impact of business strategies and initiatives.
- Support the companys data-driven culture by promoting and educating team members on data importance.
- Assist in the automation of data processing tasks to enhance efficiency and reduce manual intervention.
- Stay updated on industry trends and advancements in data science to apply best practices.
Data Science Analyst
Posted 1 day ago
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Job Description
_Remote -_ **_TBD_**
**Empower Those Who Make The World**
At Stanley Black & Decker, we believe in the power of people with purpose, integrity, and a relentless drive for excellence. Join our global team of 53,000+ professionals across 60 countries, making an impact on iconic brands like DEWALT, CRAFTSMAN, STANLEY, BLACK+DECKER, IRWIN, LENOX, and more.
**Your Impact**
As a Data Scientist on our Brand and Product Analytics team, you will:
+ Deliver actionable insights by collecting, mining, and analyzing complex data sets to drive business decisions and growth.
+ Apply data science, machine learning, and artificial intelligence-including emerging Generative AI tools and techniques-to solve real-world business challenges.
+ Stay current with the latest technologies (Gen AI, LLMs, cloud-native analytics) and leverage them to enhance our analytics capabilities.
+ Collaborate with stakeholders to define goals, select KPIs, monitor performance, and identify trends and opportunities.
+ Identify, design, and implement data process improvements, such as automating manual workflows, optimizing data infrastructure for scalability, and enhancing data delivery.
+ Diagnose system deficiencies and recommend practical, effective solutions.
+ Partner with IT and business teams to shape analytics and technology roadmaps aligned with strategic objectives.
+ Champion a data-driven culture, working with analytics and commercial experts to maximize the value of our data assets.
+ Provide robust data foundations for insights across Operations/Supply Chain, Marketing, Finance, Commercial, and more.
**Who You Are**
You are a curious, creative problem solver who thrives in a fast-evolving field. You embrace innovation, adapt quickly, and are passionate about learning new technologies. You bring:
+ **2+ years' experience** in data science, advanced analytics, or a related field
+ **Bachelor's degree in a technical field** such as Computer Science, Statistics, Mathematics, Data Science, Engineering, Machine Learning, or a closely related discipline
+ **Excellent communication skills** (written & spoken), with the ability to explain complex concepts to non-technical audiences
+ **Strong problem-solving abilities** : You approach challenges analytically and creatively, using data-driven methods to identify root causes and develop effective solutions. You are comfortable tackling ambiguous problems and breaking them down into actionable steps.
+ **Python expertise** : Highly proficient in Python for data analysis, modeling, and automation, with the ability to write clean, efficient, and well-documented code.
+ **SQL proficiency** : Strong skills in SQL for querying, manipulating, and managing large datasets across different database systems.
+ **Good coding skills** : Comfortable with general programming concepts, version control (e.g., Git), and collaborative codebases.
+ **Experience developing and tracking** Sales, Marketing, Finance, and Commercial metrics
+ **Expertise in Financial Modeling, Sensitivity Analysis, and A/B Testing**
+ **Hands-on experience with cloud platforms** (Snowflake, AWS, GCP, Azure) and modern data architectures
+ **Proficiency with Data Mining and ETL tools** (SQL, Python, R, db2, Alteryx, Knime, etc.)
+ **Experience designing and implementing real-time data pipelines** and handling streaming data
+ **Proficiency with data visualization tools** such as Power BI, Tableau, or similar platforms to communicate insights effectively
+ **Familiarity with Generative AI, Large Language Models (LLMs), and their business applications** (you don't need to be an expert, but you should be comfortable using and learning about these technologies)
+ **Experience with Forecasting, Risk Modeling, Product Portfolio Optimization, Market Mix Modeling, LTV Modeling, and Financial Forecasting**
**Nice to Have:**
+ Experience in Manufacturing, CPG, or Retail sales environments
+ Software development skills, including source code management (GitHub, BitBucket, Azure DevOps Repos, etc.)
+ Experience with MLOps, model deployment, and monitoring in production environments
+ Familiarity with data privacy, security, and responsible AI practices
**What You'll Receive**
+ Competitive salary and comprehensive benefits
+ Opportunities for professional growth and career advancement across our 20+ global brands
+ Access to world-class learning resources, including Lean Academy, Coursera, and our online university
+ A diverse, inclusive, and respectful workplace culture
+ Opportunities to give back through volunteerism and sustainable business practices
**Why Stanley Black & Decker?**
We're more than the #1 tools and storage company and #2 security solutions provider, with a leading presence in engineered fastening. We're visionaries and Industry 4.0 innovators. Join us and help empower makers, doers, protectors, and everyday heroes all over the world.
All qualified applicants to Stanley Black & Decker are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran's status, or any other protected characteristic.
**Data Science Analyst**
_Remote -_ **_TBD_**
**Empower Those Who Make The World**
At Stanley Black & Decker, we believe in the power of people with purpose, integrity, and a relentless drive for excellence. Join our global team of 53,000+ professionals across 60 countries, making an impact on iconic brands like DEWALT, CRAFTSMAN, STANLEY, BLACK+DECKER, IRWIN, LENOX, and more.
**Your Impact**
As a Data Scientist on our Brand and Product Analytics team, you will:
+ Deliver actionable insights by collecting, mining, and analyzing complex data sets to drive business decisions and growth.
+ Apply data science, machine learning, and artificial intelligence-including emerging Generative AI tools and techniques-to solve real-world business challenges.
+ Stay current with the latest technologies (Gen AI, LLMs, cloud-native analytics) and leverage them to enhance our analytics capabilities.
+ Collaborate with stakeholders to define goals, select KPIs, monitor performance, and identify trends and opportunities.
+ Identify, design, and implement data process improvements, such as automating manual workflows, optimizing data infrastructure for scalability, and enhancing data delivery.
+ Diagnose system deficiencies and recommend practical, effective solutions.
+ Partner with IT and business teams to shape analytics and technology roadmaps aligned with strategic objectives.
+ Champion a data-driven culture, working with analytics and commercial experts to maximize the value of our data assets.
+ Provide robust data foundations for insights across Operations/Supply Chain, Marketing, Finance, Commercial, and more.
**Who You Are**
You are a curious, creative problem solver who thrives in a fast-evolving field. You embrace innovation, adapt quickly, and are passionate about learning new technologies. You bring:
+ **2+ years' experience** in data science, advanced analytics, or a related field
+ **Bachelor's degree in a technical field** such as Computer Science, Statistics, Mathematics, Data Science, Engineering, Machine Learning, or a closely related discipline
+ **Excellent communication skills** (written & spoken), with the ability to explain complex concepts to non-technical audiences
+ **Strong problem-solving abilities** : You approach challenges analytically and creatively, using data-driven methods to identify root causes and develop effective solutions. You are comfortable tackling ambiguous problems and breaking them down into actionable steps.
+ **Python expertise** : Highly proficient in Python for data analysis, modeling, and automation, with the ability to write clean, efficient, and well-documented code.
+ **SQL proficiency** : Strong skills in SQL for querying, manipulating, and managing large datasets across different database systems.
+ **Good coding skills** : Comfortable with general programming concepts, version control (e.g., Git), and collaborative codebases.
+ **Experience developing and tracking** Sales, Marketing, Finance, and Commercial metrics
+ **Expertise in Financial Modeling, Sensitivity Analysis, and A/B Testing**
+ **Hands-on experience with cloud platforms** (Snowflake, AWS, GCP, Azure) and modern data architectures
+ **Proficiency with Data Mining and ETL tools** (SQL, Python, R, db2, Alteryx, Knime, etc.)
+ **Experience designing and implementing real-time data pipelines** and handling streaming data
+ **Proficiency with data visualization tools** such as Power BI, Tableau, or similar platforms to communicate insights effectively
+ **Familiarity with Generative AI, Large Language Models (LLMs), and their business applications** (you don't need to be an expert, but you should be comfortable using and learning about these technologies)
+ **Experience with Forecasting, Risk Modeling, Product Portfolio Optimization, Market Mix Modeling, LTV Modeling, and Financial Forecasting**
**Nice to Have:**
+ Experience in Manufacturing, CPG, or Retail sales environments
+ Software development skills, including source code management (GitHub, BitBucket, Azure DevOps Repos, etc.)
+ Experience with MLOps, model deployment, and monitoring in production environments
+ Familiarity with data privacy, security, and responsible AI practices
**What You'll Receive**
+ Competitive salary and comprehensive benefits
+ Opportunities for professional growth and career advancement across our 20+ global brands
+ Access to world-class learning resources, including Lean Academy, Coursera, and our online university
+ A diverse, inclusive, and respectful workplace culture
+ Opportunities to give back through volunteerism and sustainable business practices
**Why Stanley Black & Decker?**
We're more than the #1 tools and storage company and #2 security solutions provider, with a leading presence in engineered fastening. We're visionaries and Industry 4.0 innovators. Join us and help empower makers, doers, protectors, and everyday heroes all over the world.
All qualified applicants to Stanley Black & Decker are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran's status, or any other protected characteristic.
**_We Don't Just Build The World, We Build Innovative Technology Too._**
Joining the Stanley Black & Decker team means working in an innovative, tech-driven and highly collaborative team environment supported by over 58,000 professionals in 60 countries across the globe. Here, you'll get the unique chance to impact some of the world's most iconic brands including STANLEY TOOLS, DEWALT, CRAFTSMAN, MAC TOOLS and Black + Decker. Your ideas and solutions have the potential to reach millions of customers as we work together to write the next chapter in our history. Come build with us and take your career to new heights.
**Who We Are**
We're the World's largest tool company. We're industry visionaries. We're solving problems and advancing the manufacturing trade through innovative technology and our Industry 4.0 Initiative. We are committed to ensuring our state-of-the-art "smart factory" products and services provide greater quality to our customers & greater environmental and social value to our planet. We are unique in that we have a rich and storied history dating back to 1843, but that hasn't stopped us from evolving into a vibrant, diverse, global growth company.
**Global Benefits & Perks**
You'll be rewarded with a competitive salary plus receive entitlements and benefits unique to your country of hire.
**What You'll Also Get**
Career Opportunity: Career paths aren't linear here. Being part of our global company with 60+ brands gives you the chance to grow and develop your skills along multiple career paths.
**Learning & Development:**
Our lifelong learning philosophy means you'll have access to a wealth of state-of-the-art learning resources, including our Lean Academy and online university (where you can get certificates and specializations from renowned colleges and universities).
**Diverse & Inclusive Culture:**
We pride ourselves on being an awesome place to work. We respect and embrace differences because that's how the best work gets done. You'll find we like to have fun here, too.
**Purpose-Driven Company:**
You'll help us continue to make positive changes in the local communities where we work and live as well as in the broader world through volunteerism, giving back and sustainable business practices.
AVP - Data Science
Posted 2 days ago
Job Viewed
Job Description
+ The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the global Treasury & Trade Services business. The team works on business problems focused on driving acquisitions, cross-sell, revenue growth & improvements in client experience.
+ The team extracts relevant insights, identifies business opportunities, converts business problems into analytical frameworks, uses big data tools and machine learning algorithms to build predictive models & other solutions, and designs go-to-market strategies for a huge variety of business problems.
ROLE DESCRIPTION
+ The role will be Asst. Vice President (C12) in the TTS Analytics team
+ The role will report to the VP or SVP leading the team
+ The role will involve leading a team of data scientists and analysts
+ The role will involve leading a team of data scientists and analysts responsible for the full lifecycle of machine learning model development and deployment.
+ The role will involve working on multiple data science projects throughout the year on business problems across the client life cycle - acquisition, engagement, client experience and retention - for the TTS business.
+ This includes understanding business needs, designing, developing, and deploying machine learning models, and communicating insights and recommendations to stakeholders.
+ The candidate should demonstrate a strong understanding of machine learning principles, model development methodologies, and deployment strategies.
+ This will involve leveraging multiple analytical approaches, tools and techniques, working on multiple data sources (client profile & engagement data, transactions & revenue data, digital data, unstructured data like call transcripts etc.) to provide data driven insights and machine learning solutions to business and functional stakeholders.
QUALIFICATIONS
**Experience:**
+ Bachelor's Degree with 7-10 years of experience in data analytics, or Master's Degree with 6-10 years of experience in data analytics, or PhD.
+ Must have:
+ Marketing analytics experience
+ Experience on business problems around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention
+ Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc.
+ Strong hands-on knowledge of Data Science and Machine Learning, including supervised learning algorithms (both Classification and Regression) such as Linear Regression, Random Forest, XGBoost, Support Vector Machines, etc., as well as unsupervised learning techniques (e.g., clustering, dimensionality reduction).
+ Experience building and deploying time series models for forecasting and anomaly detection.
+ Experience with unstructured data analysis, e.g., call transcripts, using Natural Language Processing (NLP)/Text Mining techniques.
+ Experience building end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.
+ Experience on business problems around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention
+ Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc.
+ Good to have:
+ Experience in financial services
+ Deep learning experience; able to work with Neural Networks using TensorFlow and/or PyTorch.
+ Knowledge on working with GenAI and LLM
**Skills:**
**Analytical Skills:**
+ Ability to understand complex business problems, break them down into simpler solvable parts and develop analytical approaches to tackle them
+ Strong logical reasoning and problem-solving ability
+ Proficient in converting business problems into analytical tasks, and analytical findings into business insights
+ Proficient in identifying trends and patterns with data
**Tools and Platforms:**
+ Proficient in Python/R, PySpark, SQL
+ Proficient with ML libraries such as Scikit-learn, TensorFlow and PyTorch
+ Proficient in MS Excel, PowerPoint
+ Good to have:
+ Experience with Tableau
+ Experience in Hive
**Soft Skills:**
+ Ability to drive clear and comprehensive communication flow between business stakeholders and the team and vice versa, translating analytical findings into key insights and actionable recommendations
+ Building and managing high performance teams
+ Ability to coach and mentor team members on an ongoing basis
+ Ability to drive ideation on analytical projects to tackle strategic business priorities
+ Comfort on working with ambiguity and open-ended questions
+ Strong process/project management skills
+ Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.
---
**Job Family Group:**
Decision Management
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**Job Family:**
Specialized Analytics (Data Science/Computational Statistics)
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**Time Type:**
Full time
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**Most Relevant Skills**
Please see the requirements listed above.
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**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
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_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
Data Science Manager

Posted 5 days ago
Job Viewed
Job Description
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer.
You will dive deep into the heart of our business, understanding its objectives and requirements - viewing them through the lens of business acumen, and converting this knowledge into a data problem. You'll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses.
In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention - models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally.
Additionally, you're not just building and validating models - you're deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle.
Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset - ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation.
If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
**Who You Are**
Who You Are
You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.
Required Skills and Experience
-12+ years in IT , Knowledge of modeling tools and programming languages, e.g., Azure ML, Vortex AI AutoML, SageMaker, or Python
-Excellent problem-solving, analytical, and critical thinking skills
-Communication and presentation skills, with the ability to convey complex data insights to both technical and non-technical audiences
-Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail
Preferred Skills and Experience
-Degree in a quantitative discipline, such as mathematics, statistics, computer science, or mechanical engineering
-Professional certification, e.g., Open Certified Data Scientist
-Cloud platform certification, e.g., AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, or Microsoft Certified: Azure Data Scientist Associate
-Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio
-Experience in at least one domain, e.g., cybersecurity, IT service management, financial services, or health care
**Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Consultant, Data Science

Posted 5 days ago
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Job Description
Dell Content Engineering and Translation (CET) teams exist within a very complex ecosystem of departments and business units around the world that together enable Dell's commitment to excellence. As Dell expands its offerings and updates its infrastructure, CET is increasingly at the center of many fast-paced, exciting projects which require vision and technical acumen to achieve, as well as expertise at navigating administrative and political complexity.
Join us as a **Senior Data Scientist** on our **DevOps** team in **Bangalore** to do the best work of your career and make a profound social impact.
**What you'll achieve**
The Senior Data Scientist will join Dell's Content Engineering & Translation (CET) organization, driving innovation at the intersection of knowledge graphs and Generative AI. This role focuses on graph-based modelling and reasoning as well as GenAI, LLMs, and agentic workflows, delivering intelligent, explainable, and scalable solutions for Dell's global content ecosystem. You will combine strong theoretical foundations in data science and machine learning with hands-on expertise in graph technologies, LLM integration, and multi-modal workflows.
**You will:**
+ Collect and analyze linguistic data; implement core NLP techniques like tokenization, NER, and sentiment analysis for MT/NLG pipelines.
+ Design reproducible experiments, establish annotation protocols, and evaluate models using metrics like BLEU, COMET, and ROUGE.
+ Build and enrich knowledge graphs; design ontologies and schemas; optimize queries using SPARQL and Cypher.
+ Develop GraphRAG pipelines, train graph/text embeddings, and integrate agentic frameworks (e.g., LangGraph) for multi-hop reasoning and query translation.
+ Work with MLOps teams to deploy models with CI/CD; monitor GenAI solutions for quality and performance; communicate results to stakeholders.
**Take the first step towards your dream career**
Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role:
**Essential Requirements**
+ Strong Python skills with hands-on experience in ML frameworks (PyTorch, TensorFlow) and data processing libraries.
+ Deep understanding of NLP techniques (e.g., summarization, paraphrasing, NER, sentiment analysis) and evaluation metrics (BLEU, COMET, ROUGE, METEOR).
+ Familiarity with LLM frameworks (LangGraph, LlamaIndex), RAG design patterns, and multi-agent orchestration with human-in-the-loop processes.
+ Skilled in graph ML, embeddings, and semantic modeling; experienced in building GraphRAG pipelines and applying graph algorithms.
+ Excellent communication and presentation skills; ability to document and explain complex solutions clearly.
**Desirable Requirements**
+ Experience with Agile development methodology (e.g., Scrum)
+ Experience - 12 to 15 yrs
**Who we are**
We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
**Application closing date: 30 October 2025**
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here ( .
**Job ID:** R
Data Science Mentor
Posted 1 day ago
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Job Description
Title: Data Science / AI Mentor (Part-time / Freelance) | DataMites®
About DataMites®
DataMites® is India’s leading EdTech company specialising in Artificial Intelligence, Data Science, Machine Learning, and Analytics career programs. Since 2016, we’ve trained over 120,000+ learners globally , empowering professionals to build high-growth tech careers. With a global presence and industry-recognized certifications, DataMites is shaping the next generation of AI and Data Science talent through practical, job-oriented learning.
Role: Data Science / AI Mentor or Trainer
Type: Part-Time / Freelance
Location: Remote (Online) or Classroom (Major cities in India)
What You’ll Do:
- Deliver engaging training sessions on topics such as Python, Machine Learning, Deep Learning, Statistics, AI, and related tools.
- Mentor learners through project-based learning and hands-on exercises.
- Guide students in applying real-world problem-solving techniques using AI and Data Science frameworks.
- Evaluate assignments and provide constructive feedback.
- Stay updated with the latest industry trends and best practices.
Who We’re Looking For:
- Professionals or educators with strong expertise in Data Science, AI, or Machine Learning.
- Proficiency in Python, NumPy, Pandas, Scikit-learn, and related ML libraries.
- Experience in training, mentoring, or delivering technical sessions (preferred).
- Strong communication skills and a passion for teaching.
- Freelancers, working professionals, or PhD/MTech candidates in AI/Data Science are welcome.
Why Join DataMites ®:
- Be part of India’s fastest-growing AI & Data Science education movement.
- Flexible engagement—teach part-time or on weekends.
- Opportunity to inspire thousands of learners globally.
- Work with a passionate academic and industry-driven team.
If you’re passionate about sharing knowledge and shaping the next generation of AI talent, we’d love to hear from you.
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Data Science Specialist
Posted 1 day ago
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Job Description
You will be responsible for design and engineering aspects of the Machine Learning ecosystem developing life cycle frameworks and delivering state-of-the-art solutions for ML pipelining, deployment and integration with the back-end product. Ensure efficient architecture and low-level design of deep learning-based solutions and high-quality deliverables with focus on innovation, scientific research, experimentation and optimal design.
As a subject matter expert, you will be combining your professional experience and an intrinsic desire for problem solving.
- Development and implementation of ML models for product brand extraction based on product name, description and other attributes
- Development and implementation of ML-based product matching solutions
- Development of text-based product classification tools
- Analyze big amount of data from online retailers using statistical techniques to identify patterns
- Build ML, statistical and analytical models, forecasting models
- Create MLDL solution and infrastructure
- Responsible for statistical analysis and model research to develop an advanced analytical approach to generate the required insights
- Design and implement efficient, fault-tolerant Machine Learning flows for processing high-velocity, heterogeneous data, including optimization of Machine Learning workflows for building automated decision systems that provide future predictions
- Provide statistical analysis of large and complex datasets and ensure accuracy in analysis
- Develop innovative and effective approaches to solve analytics problems
You will fit right in if you have –
- 8 years of relevant experience in the domain
- Bachelor’s degree in Computer Science or equivalent
- 4+ years’ experience researching and developing ML models for big data analysis
- Experience of deep learning in NLP (LSTM, BERT, etc.)
- Proficiency with any deep learning framework, Tensorflow + Keras is preferred
- 3+ years’ experience and deep understanding of text processing techniques and best practices (classification, NER, text ranking)
- Python (Pandas, NumPy , scipy, scikit-learn)
- Textual data processing libraries (NLTK, GenSim)
- 2+ years’ experience of training and productionalization of deep learning models
- 3+ years’ experience of software development in Python
- Excellent knowledge of the data science problems, including large scale data and data pipeline management
- Excellent presentation skills, communication skills, verbal and written
- Expert in using data analytical and modeling tools
- Excellent knowledge in using visualization tools
- Strong interpersonal skills and a combination of analytical skills, intellectual curiosity, and accountability
Data Science Specialist
Posted 1 day ago
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About the Role
We are looking for a hands-on leader with expertise in Generative AI and enterprise AI chat technologies who can serve as an L25 support layer bridging the gap between frontline support L2 and deep technical experts L3. This person will act as the first point of escalation for AI related technical questions, ensure quality in responses, and coordinate with global colleagues to resolve complex queries. This role is part technical support, part advisory, ensuring internal teams have the right AI tools, workflows, and knowledge to work effectively.
Responsibilities
- Serve as the primary point of contact for escalated technical queries related to Generative AI (GenAI), the internal enterprise AI chat solution, and AI assisted workflows.
- Provide direct technical assistance and guidance to users; escalate to and collaborate with L3 subject matter experts when necessary.
- Ensure accuracy, consistency, and quality in responses provided to internal teams.
- Document solutions, best practices, and repeatable workflows for common queries.
- Monitor and analyze support requests to identify training opportunities, system improvements, or process optimizations.
- Stay updated on emerging AI tools, prompt engineering techniques, and integration capabilities.
Required Skills
- Proven experience in Generative AI technologies, including enterprise AI chat solutions (e.g., Azure OpenAI, Anthropic Claude, Google Gemini, or custom internal AI chat platforms).
- Strong technical troubleshooting and problem-solving skills, especially in complex AI workflows.
- Excellent communication skills with the ability to explain technical concepts clearly to non-technical audiences.
- Experience acting in an L25 role or similar, owning escalations and bridging between support and engineering teams.
- Proactive, resourceful, and comfortable working across time zones.
- Strong documentation and knowledge management skills.
Preferred Skills
- Experience working in a technology support or AI advisory role.
- Familiarity with AI integration platforms (e.g., n8n, Zapier, Workato, or workflow automation tools).
- Exposure to prompt engineering best practices.
Work Location: Hyderabad
Work Hours: US Time Zone Active until 300 PM PST
Equal Opportunity Statement
We are committed to diversity and inclusivity.
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Data Science Manager
Posted 1 day ago
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Research Manager – Machine Learning (RESEARCH SCIENCES)
About Data Sciences Group at Flipkart:
The Data Sciences team at Flipkart is on a mission to build systemic intelligence across Flipkart products and the overarching ecosystem. Being India’s largest online marketplace and the most used e-commerce app in India, places Flipkart in a unique vantage position and gives this team a distinctive opportunity — to decipher the richest possible data about Indian consumers. Add the dimension of a vast product selection and a proliferating seller base to that and what you get is a multitude of disruptive possibilities.
In a nutshell, the terabytes of daily data compounded in Flipkart’s data centers offer a dynamic mix of numerical, structured, unstructured, image- and audio-based statistics, all set to define shopping in the future.
What this job entails:
As a leader in the space of Data Science, you will lead a team of highly qualified professionals, within the context of a functional unit, with expertise in areas of Machine Learning & Artificial Intelligence. Your team will comprise of Data Scientists. Your primary responsibility will be to strategize and guide the application of data sciences, and leverage data capabilities to drive Flipkart’s Business Value Proposition. In simpler terms, you will help build intelligence across Flipkart products. In this role, you will:
- Closely work with the Data Science team to formulate data-led solutions and models
- Use advanced Machine Learning techniques to enable key business goals
- Be a strong proponent of the customer and the business, with the capability to drive efficiency and productivity, and enable automation across the spectrum
- Should have thorough understanding of key AI and ML techniques — If not all — spanning Predictive Modelling, NLP, Text Mining, Classification, Regression, Deep Learning, etc.
Key Roles & Responsibilities:
The Flipkart Data Science team applies capabilities across numerous business problem statements within the e-commerce ecosystem. The application extends across Customer Experience, Supply-Chain, Engineering, Cataloguing and other critical scenarios, with solutions designed around discovery, personalization, intent modelling, demand shaping and planning, insights, sentiment prediction, response matching, fulfilment automation, last-mile optimization, fraud modelling and search—all of which just form the tip of the iceberg. In this role, you will be responsible to:
- Help the Data Science team of the functional unit to formulate and architect future AI / ML models for Flipkart Products
- Guide teams through decisions around applying Data Science and Data Modelling techniques to drive innovation, efficiency productivity and automation within Flipkart’s ecosystem
- Ensure timely deployment of models in a high-pace business, large-scale production environment
- Coach the Data Science team on various challenges and trade-offs in developing models that can accurately employ real data
- Build deep partnerships with business, product management, and technology leaders
- Lead, hire, manage and mentor a team of highly qualified Data Scientist, Data Engineers, Software Engineers ML and Research Scientists
- Help develop systems-driven framework for tracking the quality, consistency, applicability and performance of data inputs and outcomes
- Build and leverage tools that allow for democratization and easy consumption and analysis of data across the organization.
Our Associations & Collaborations:
Associations and collaborations: The Flipkart Data Science team is also leveraging partnerships with Indian and foreign universities — like CMU, IIT's, IISc and IIIT’s — for developing class-leading solutions in the e-commerce sector.
At Flipkart, the work of a Data Scientist involves collaboration with the engineering and product teams to ensure a holistic outcome at the product delivery. The flat functional structure within Flipkart engineering enables data scientists to focus on excellence and create a deep sense of ownership at every stage of work.
Basic Qualification:
Education Qualification: B.Tech / M.Tech in CS/ML/AI Statistics with demonstrable experience through publications / deployed solutions / projects.
Should have formally managed small/large teams of DS, data Engineers with DS capabilities for at least 2-4 Yrs.
Strong technical skills in machine learning/AI, including optimization, simulation, regression techniques, neural networks, decision trees, cluster analysis, pattern recognition, probability theory, stochastic systems, Bayesian inference, and statistical techniques.