What Data Scientists Jobs are in Karnataka?

Data Scientist
**Job details**
**General information**
**Entity**
Safran is an international high-technology group operating in the fields of aerospace (propulsion, equipment and interiors), space and defense. Its mission is to contribute sustainably to a safer world, where air transport becomes ever more environmentally friendly, comfortable and accessible. Present on every continent, the Group employs 110,000 people and generated 31.3 billion in revenue in 2025. Safran holds, either independently or through partnerships, leading global or European positions in its markets.
Safran was ranked second in the Aerospace & Defense sector in TIME magazine's ""World's Best Companies 2025"" ranking.
As the world leader in aeronautical electrical systems, Safran Electrical & Power is a key player in the electrification of aircraft equipment and electric and hybrid propulsion. With expertise across the onboard energy chain, the company designs and delivers innovative, optimized and modular architectures and solutions.
**Reference number**

**Job details**
**Domain**
Research, design and development
**Job field / Job profile**
Software - Software for product information systems
**Job title**
Data Scientist
**Employment type**
Permanent
**Part time / Full time**
Full-time
**Job description**
We are looking for an experienced Data Scientist with expertise in Generative AI and Large Language Models (LLMs) to join our innovation team. In this role, you will work at the cutting edge of AI technologies, leveraging LLMs to develop intelligent applications that can generate, analyze, and process text data. You will collaborate with data scientists, machine learning engineers, and product teams to build and deploy state-of-the-art AI solutions that solve complex real-world problems.
**But what else? (advantages, specificities, etc.)**
Need Basis
**Candidate skills & requirements**
Technical skills required Level
Programming - Python Expert
GenAI Technologies understanding & evaluation Practitioner
LLM-LMM integration, Optimization, Deployment Practitioner
RAG, Knowledge graphs, transformers Practitioner
Prompt Engineering Practitioner
AWS Bedrock Practitioner
Langchain tools and integration experience Practitioner
C,C++, Tensorflow, PyTorch, NumPy, Pandas Practitioner
LoRA (Low-Rank Adaptation) Practitioner
**Job location**
**Job location**
Asia, India
**City (-ies)**
BENGALURU
**Applicant criteria**
**Minimum education level achieved**
Bachelor's Degree
**Minimum experience level required**
More than 3 years

**Meet the Team**
We are the Supply Chain Transformation AI Team within Cisco's Supply Chain Operations. We are a diverse, fast-moving group of AI engineers and data scientists who collaborate directly with Product Operations. We don't just analyze data; we transform it into actionable intelligence. By building advanced AI solutions, we empower our NPI (New Product Introduction) PMs, Product, and Test Engineering teams to anticipate market shifts, optimize workflows, and meet the evolving demands of our product lifecycle.
**Your Impact**
We are looking for a highly skilled AI Engineer with a strong foundation in software engineering and proven experience in building and deploying modern AI solutions. This role will focus on developing scalable, enterprise-grade applications powered by Generative AI, LLMs, AI agents, and RAG architectures, while ensuring robust engineering practices across development, deployment, and production support.
**Core Responsibilities**
+ **Partner with business and functional teams** to understand workflows, pain points, and operational goals, and identify high-impact opportunities for AI and automation
+ **Analyze and improve business processes** by identifying bottlenecks, inefficiencies, and areas where AI-driven workflows can deliver measurable business value
+ **Design and deliver end-to-end AI solutions** that integrate with enterprise systems, data sources, and existing user workflows in an intuitive and scalable way
+ **Build, pilot, and productionize AI applications** , working closely with end-users to gather feedback, iterate quickly, and drive adoption across teams
+ **Collaborate cross-functionally** with engineering, product, design, and business stakeholders to translate ambiguous problems into practical AI solutions
+ Ensure solutions align with **privacy, security, compliance, and responsible AI practices** , especially when handling enterprise or sensitive data
+ **Create reusable frameworks, components, and documentation** to accelerate future AI development and improve consistency across teams
+ Leverage **Generative AI and automation** to accelerate prototyping, research, documentation, workflow execution, and operational efficiency across day-to-day processes
**Minimum Qualifications**
+ Bachelor's or Master's degree in **Computer Science** , Engineering, or equivalent practical experience
+ 3+ years of experience working within or alongside **supply chain / enterprise operations** environments
+ 2+ years of hands-on experience with **agentic AI frameworks** (e.g. LangGraph, Google Agent SDK) and **MCP server** development
+ Experience evaluating AI systems using **eval frameworks** , testing pipelines, or human-in-the-loop review workflows
+ Strong problem-solving skills, attention to detail, self-driven, and ability to manage multiple priorities in a fast-paced environment.
**Technical Skills**
+ Strong computer science fundamentals with hands-on experience in **Object-Oriented Programming (OOP)** , scalable backend development, and distributed systems
+ Experience building **REST APIs** and backend services, preferably using **Fast API**
+ Experience with API integrations, enterprise systems, third-party SDKs, and service orchestration
+ Basic understanding of **UX/UI principles** to collaborate effectively with design teams and translate user flows into working applications
+ Ability to rapidly prototype and ship features using **AI-assisted coding tools** (e.g. GitHub Copilot, Cursor, Claude Code, etc.)
+ Hands-on experience building and deploying **LLM-powered applications** in production
+ Experience with **Agentic AI systems** , autonomous workflows, tool calling, and multi-agent orchestration
+ Strong understanding of **MCP (Model Context Protocol)** , **A2A (Agent-to-Agent)** communication patterns, and agent integration frameworks
+ Experience building **RAG pipelines** including embeddings, retrieval strategies, reranking, context management, and evaluation
+ Strong prompt engineering skills including prompt design, structured outputs, guardrails, and workflow optimization
+ Experience working with **vector databases** and semantic retrieval systems
+ Experience deploying AI applications on **AWS / GCP / Azure**
+ Experience with **Docker** , **Kubernetes** , CI/CD pipelines, and production deployment workflows
+ Ability to design scalable, reliable, and observable **AI infrastructure** for inference and application workloads
+ Strong development workflow using **GitHub** , **GitHub Actions** , and modern AI-native engineering practices
+ Experience owning the full lifecycle of AI applications: **architecture → development → deployment → production support**
**Preferred Qualifications**
+ Track record of thriving in fast-paced, evolving environments where you must define the path forward despite incomplete information or shifting priorities.
+ Experience with MLOps practices (MLflow, Kubeflow, or similar) to manage the model lifecycle.
+ Experience working with large-scale, unstructured datasets and multi-modal data.
**Why Cisco?**
At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

**Work Schedule**
Standard (Mon-Fri)
**Environmental Conditions**
Office
**Job Description**
As part of the Thermo Fisher Scientific team, you'll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world's toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
**DESCRIPTION:**
Key responsibilities include, but are not exclusively:
+ Design, develop, and maintain scalable data pipelines and data processing solutions using Python, SQL, and PySpark in AWS environments
+ Build, train, evaluate, and deploy machine learning and AI models to solve business problems and improve decision- making
+ Apply Generative AI (GenAI) techniques (e.g., LLMs, prompt engineering, embeddings) to develop innovative data products and automation solutions
+ Collaborate with cross- functional teams (data engineers, BI developers, business stakeholders) to translate business requirements into data science solutions
+ Perform data exploration, feature engineering, and data validation to ensure high- quality datasets
+ Contribute to the deployment and monitoring of models using MLOps best practices (CI/CD, versioning, model tracking)
+ Optimize data processing workflows and model performance for scalability and efficiency in cloud environments (AWS)
+ Stay updated on the latest advancements in AI, ML, and GenAI, and actively apply best practices in ongoing projects
+ Participate in team meetings, code reviews, and knowledge-sharing sessions
**REQUIREMENTS:**
+ 3-5 years of experience in data science, machine learning, or applied AI
+ Strong programming skills in Python and experience with PySpark for large- scale data processing
+ Hands- on experience with AWS services (e.g., S3, Lambda, Glue, SageMaker, EMR)
+ Practical experience with machine learning frameworks (e.g., scikit- learn, TensorFlow, PyTorch)
+ Experience or exposure to Generative AI (LLMs, prompt engineering, vector databases, RAG pipelines)
+ Strong knowledge of SQL and working with structured and unstructured data
+ Understanding of data modeling, ETL processes, and big data architectures
+ Experience with version control (e.g., Git) and collaborative development practices
+ Strong analytical and problem-solving skills with the ability to work independently and manage multiple tasks
**COMPETENCIES:**
+ Data Analysis and Data Engineering: Strong ability to preprocess, clean, and transform large datasets, including distributed data processing
+ Machine Learning & AI Expertise: Solid understanding of supervised and unsupervised learning, model evaluation, and optimization techniques
+ Generative AI & Innovation: Ability to apply GenAI techniques (LLMs, embeddings, RAG) to real- world use cases
+ Cloud & Big Data Technologies: Experience working with scalable architectures and distributed systems in AWS
+ MLOps Awareness: Understanding of model lifecycle management, deployment, and monitoring
+ Communication & Collaboration: Ability to explain complex technical concepts to non- technical stakeholders
+ Continuous Improvement: Proactive in learning new tools, frameworks, and industry trends
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.

Job Description
It's not just about your career or job title. It's about who you are and the impact you will make on the world. Because whether it's for each other or our customers, we put People First. When our people come together, we Expand the Possible and continuously look for ways to improve what we create and how we do it. If you are constantly striving to grow, you're in good company. We are revolutionizing the way the world moves for future generations, and we want someone who is ready to move with us.
**Who are we?**
Wabtec Corporation is a leading global provider of equipment, systems, digital solutions, and value-added services for freight and transit rail as well as the mining, marine, and industrial markets. Drawing on nearly four centuries of collective experience across Wabtec, GE Transportation, and Faiveley Transport, the company has grown to become One Wabtec, with unmatched digital expertise, technological innovation, and world-class manufacturing and services, enabling the digital-rail-and-transit ecosystems.
Wabtec is focused on performance that drives progress and unlocks our customers' potential by delivering innovative and lasting transportation solutions that move and improve the world. We are lifelong learners obsessed with making things better to drive exceptional results. Wabtec has approximately 27K employees in facilities throughout the world. Visit our website ( to learn more!
**Post Position Title:** Data Scientist
**Location:** Bangalore
**Company Description:** Drawing on nearly four centuries of collective experience across Wabtec, GE Transportation and Faiveley Transport, the company has unmatched digital expertise, technological innovation, and world-class manufacturing and services, enabling the digital-rail-and-transit ecosystems. Wabtec is focused on performance that drives progress, creating transportation solutions that move and improve the world. Wabtec has approximately 27,000 employees in facilities throughout the world. Visit the company's website at: Overview:** We are seeking a talented Computer Vision Engineer with experience in image processing, deep learning, 3D perception and software development to join our KinetiX team. The successful candidate will play a crucial role in building state-of-the-art inspection systems while contributing to the development of advanced computer vision algorithms for laser and camera-based accurate detection and measurement of train components at high speeds.
**Responsibilities:**
+ Develop machine vision system with Python and Pytorch.
+ Develop state-of-the-art computer vision algorithms, both traditional image processing and deep learning for accurate measurement and detection of train components using laser and camera-based systems.
+ Optimize algorithms for real-time performance and high-speed processing.
+ Collaborate with cross-functional teams including hardware engineers, software developers, and domain experts to integrate computer vision solutions into our products.
+ Conduct research to stay updated on the latest advancements in computer vision, deep learning, and image processing.
+ Implement advanced AI annotation and active learning pipelines
+ Develop and productionalize microservices using container orchestrators and Redis
**Requirements:**
+ Master's or Bachelor's degree in Computer Science or related field.
+ 2+ years of work experience with experience in image processing, computer vision, and deep learning.
+ Proficiency with microservices and strong skills in Python programming languages.
+ Experience with software development tools and libraries such as OpenCV, TensorFlow, PyTorch, etc.
+ Good understanding of deep learning techniques and algorithms.
+ Experience with point cloud is good to have
+ Knowledge on MLOps and DevOps would be good to have.
+ Knowledge on any cloud platform - GCP/Azure/AWS would be preferred.
+ Excellent problem-solving skills and ability to work independently as well as in a team environment.
+ Strong communication skills with the ability to articulate technical concepts effectively.
**Personal Attributes:**
+ Strong oral and written communication skills.
+ Strong interpersonal and influencing skills.
+ Effective team building and problem-solving abilities.
+ Demonstrate the ability to quickly understand and learn new concepts, in analytics and other supporting technologies.
**Our Commitment to Embrace Diversity:**
Wabtec is a global company that invests not just in our products, but also our people by embracing diversity and inclusion. We care about our relationships with our employees and take pride in celebrating the variety of experiences, expertise, and backgrounds that bring us together. At Wabtec, we aspire to create a place where we all belong and where diversity is welcomed and appreciated.
To fulfill that commitment, we rely on a culture of leadership, diversity, and inclusion. We aim to employ the world's brightest minds to help us create a limitless source of ideas and opportunities. We have created a space where everyone is given the opportunity to contribute based on their individual experiences and perspectives and recognize that these differences and diverse perspectives make us better.
We believe in hiring talented people of varied backgrounds, experiences, and styles. People like you! Wabtec Corporation is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or protected Veteran status. If you have a disability or special need that requires accommodation, please let us know.
Additional Information
**What could you accomplish in a place that puts People First?**
At Wabtec, it's not just about a job - it's about the impact you make. When our people come together, we're Expanding the Possible by continuously improving what we do and how we do it - for our clients and each other.
If you're ready to revolutionize how the world moves for future generations, Wabtec is the place for you.
**Who are we?**
Wabtec is a leading global provider of equipment, systems, digital solutions, and value-added services for the freight and transit rail sectors. Drawing on more than 150 years of experience, we are leading the way in safety, efficiency, reliability, innovation, and productivity. Whether it's freight, transit, ports, logistics, mining, industrial, or marine, our expertise, technologies, and people together - are accelerating the future of transportation. With roots that date back to George Westinghouse, Thomas Edison, and Louis Faiveley, Wabtec has always built technologies and implemented solutions for a variety of sectors that are critical to meeting the needs of customers and governments alike.
Our global team of about 30,000 employees worldwide delivers performance that moves the world forward. We're lifelong learners, obsessed with better. Learn more at powers us and the possibilities.**
We believe the best ideas come from a mix of experiences and backgrounds. At Wabtec, we strive every day to create a place where everyone belongs. We're building a culture where leadership, inclusion and your unique perspective fuel progress.
We're proud to be an Equal Opportunity Employer. We welcome talent of all backgrounds, experiences, and identities, including race, gender, age, disability, veteran status and more.
Need accommodation? Just let us know - we've got you.

**Who We Are**
Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips - the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world - like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.
**What We Offer**
Location:
Bangalore,IND
You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more.
At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits ( .
**Job Summary:**
As a Data Scientist, you will design, develop, and deploy advanced analytics and AI-driven solutions to analyze large-scale engineering, PLM, and BOM datasets. Your work will enable early identification of product, part, and lifecycle risks and support data-driven decision-making before and after product release.
This role partners closely with Released Product Engineering, Design Engineering, PLM, Manufacturing, Safety, Quality, and Reliability teams. You will translate complex data from enterprise systems such as Teamcenter and SAP into actionable insights, scalable analytics solutions, and interactive dashboards.
In addition to hands-on technical contributions, you will lead analytics initiatives, mentor junior team members, and help shape how data science influences engineering, release, and risk decisions at scale.
**Key Responsibilities**
+ Develop and implement advanced statistical, machine learning, and AI models for BOM, part, supplier, and lifecycle risk analytics
+ Analyze and integrate data from enterprise systems including Teamcenter PLM, SAP (E, and other engineering data sources
+ Design, build, and deploy scalable analytics solutions using Databricks and Spark-based platforms
+ Lead end-to-end data science projects, including data discovery, feature engineering, model development, deployment, and monitoring
+ Build and maintain dashboards and analytics applications using Tableau and low-code platforms such as Mendix
+ Enable data-driven decision-making for product readiness, new part release monitoring, and option optimization
+ Collaborate with cross-functional engineering, manufacturing, and IT teams to translate complex datasets into clear, actionable insights
+ Mentor junior data scientists and establish best practices for modeling, validation, and analytics governance
+ Stay current with emerging data science, AI, and enterprise analytics trends
**Required Qualifications**
+ 6+ years of full-time experience as a Data Scientist or in an equivalent analytics role
+ Postgraduate degree in Data Science, Computer Science, Statistics, Engineering, or a related field
+ Strong foundation in machine learning, statistical modeling, and data analysis techniques
+ Proficiency in Python; strong SQL skills preferred
+ Experience working with large, structured enterprise datasets
+ Hands-on experience with Databricks, Apache Spark, or similar big data platforms
+ Experience integrating and analyzing data from Teamcenter, SAP, or other PLM / ERP systems
+ Strong experience building dashboards and visual analytics using Tableau
+ Exposure to low-code or app-based analytics platforms such as Mendix is a plus
+ Strong communication skills and ability to collaborate with cross-functional teams
**Why Join This Role**
+ Work on high-impact engineering, PLM, and product analytics problems
+ Influence early product, release, and risk decisions using data and AI
+ Collaborate with senior engineering, manufacturing, and leadership stakeholders
+ Opportunity to scale analytics solutions from pilot initiatives to enterprise-wide adoption
+ Be part of a team shaping the future of data-driven engineering and release decisions
**Additional Information**
**Time Type:**
Full time
**Employee Type:**
Assignee / Regular
**Travel:**
Yes, 10% of the Time
**Relocation Eligible:**
Yes
Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

**Who We Are**
At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people-Kyndryls-that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.
**The Role**
We are seeking a skilled Data Scientist with a minimum of 6 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of GenAI solutions, leveraging your technical expertise. The ideal candidate should have familiarity with business processes in 1 domain(.e.g Financial, Telecom, Retail) to quickly understand the requirements and come up with solutions to address the issues in these domains. Candidate is expected to have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
**Responsibilities**
+ Development and deploy Generative AI and LLM projects, ensuring alignment with business objectives.
+ Participate in the development of gen AI solutions, AI Agent development
+ Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of Generative AI applications.
+ Engage effectively with customers, showcasing and demonstrating the relevance and impact of Generative AI applications in their businesses.
+ Collaborate with cross-functional teams to integrate AI/ML solutions into cloud environments (Azure, GCP, AWS, etc.).
**Who You Are**
**Requirements**
**MUST HAVE**
+ Graduate / Postgraduate in computer science or computer engineering or equivalent with 6-8 years of experience in the IT Industry.
+ Minimum 4 years of hands on experience Data Scientist Role or Similar role.
+ **Strong understanding of Transformers, LLMs, Fine Tuning, Agents and RAG techniques.**
+ **Comfortable with development of AI Agents**
+ Experience in AI/ML, with a focus on Generative AI and Large Language Models. Proven track record in working with major cloud platforms (Azure, GCP, AWS).
+ Understanding of how to deploy LLMs on cloud/ on-premise and use APIs to build Industry solutions.
+ Experience in using LLM models on cloud i.e. OpenAI @ Azure, Aws Bedrock, GCP Vertex AI.
+ Should have done 2-3 projects in domain of expertise,
+ Should have strong good knowledge of Python, C/C++.
+ Be fluent in English (written and spoken).
**Being You**
The "Kyn" in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don't meet every requirement, we encourage you to apply. We believe in growth, and we're excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging - being a valued, respected, trusted member of the team - is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That's The Kyndryl Way.
**What You Can Expect**
Your career with us isn't just a job-it's an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health-because we know that when you feel your best, you do your best.
From your very first day, you'll dive into impactful work that powers the systems our customers rely on every day. You won't just contribute-you'll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.
We're here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you'll have everything you need to thrive and evolve. You'll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities-from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you'll be part of a culture that values empathy, restless learning, and a devotion to shared success.
We want you to thrive here-and we're committed to helping you do just that. Ready to make an impact? Join us and help shape what's next.
**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.

**Job Description Summary**
The Sr Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.
**Job Description**
**Roles and Responsibilities**
As a Sr Data Scientist, you will be part of a data science or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization.
In this role, you will:
- Develop analytics to address customer needs and opportunities.
- Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.
- Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
- Perform exploratory and targeted data analyses using descriptive statistics and other methods.
- Work with data engineers on data quality assessment, data cleansing and data analytics
- Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
- Share and discuss findings with team members.
**Education Qualification**
For roles outside USA:
Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math) with advanced experience.
For roles in USA:Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math) with minimum years of experience4years
Desired Characteristics- Demonstrated skill in the use of one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python)
- Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
- Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets
- Demonstrated skill at data visualization and storytelling for an audience of stakeholders
Technical Expertise:
- Demonstrated awareness of data management methods
- Demonstrated awareness of realtime analytics development and deployment
Domain Knowledge:
- Demonstrated awareness of industry and technology trends in one or more sectors where GE operates
- Demonstrated awareness of customer and stakeholder management and business metrics
Leadership:
- Demonstrated skill at function in a team setting
- Demonstrated awareness of critical thinking and problem solving methods
- Demonstrated awareness of presentation and influencing skills
Personal Attributes:
- Demonstrated awareness of how to succeed in ambiguous circumstances
**Note**
Note:
To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used.
This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager.
**Additional Information**
**Relocation Assistance Provided:** No

**About Us**
As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful.
**Overview about TII**
At Target, we have a timeless purpose and a proven strategy. And that hasn't happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target's global team and has more than 4,000 team members supporting the company's global strategy and operations.
**Pyramid Overview**
A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you'll be challenged to harness Target's impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on.
**Team Overview**
Target Search is offering an exciting opportunity to solve state-of-the-art problems in e-commerce search. Target's Search Technology team is rapidly growing and creating massive business impact by building cutting-edge search systems. We use NLP, deep learning, classical machine learning and LLMs to build best-in-class systems. As we build the future of e-commerce search, we are looking for driven and passionate individuals with deep expertise in developing ML systems at scale and leading high-impact charters. If you are that person, you can expect to be involved in:
+ **Leading** the design, development, and productionization of ML systems across **query understanding, content understanding, retrieval, ranking/relevance, and ads/recommendations**
+ **Owning technical direction** for a problem area: defining strategy, influencing roadmaps, setting quality bars, and driving execution through a team of scientists and engineers
+ **Architecting end-to-end solutions** that integrate modeling, experimentation (offline + online), and engineering systems for scalability, latency, and reliabilityDeveloping a **multi-year vision** for key search/relevance capabilities on Target.com , aligned to business outcomes and measurable metrics
+ Serving as a **technical leader and mentor** , raising the bar for scientific rigor, design reviews, and best practices across the org
**Preferred Domain Experience**
We're looking for strong domain depth and evidence of impact in one or more of the following:
+ **Search / Retrieval / Ranking / Relevance** (e-commerce or large-scale consumer products preferred)
+ **Recommendations** (personalization, candidate generation, ranking, multi-objective optimization)
+ **Ads / Sponsored Search** (auction systems, relevance, pacing/bidding, ads ranking, CTR/CVR modelling)
**About You**
+ 4-year degree in a quantitative discipline (Science, Technology, Engineering, Mathematics) or equivalent practical experience
+ **7+ years** of professional data science / applied ML experience (or equivalent), with a strong track record of delivering **production ML systems** and measurable business impact
+ Deep expertise in modern ML techniques including **deep learning, NLP, representation learning, and LLM-based approaches** , with strong judgment on when to use simpler methods
+ Demonstrated ability to **lead large, ambiguous problem spaces** : framing, solutioning, driving alignment, and delivering through cross-functional partners
+ Strong hands-on programming skills in **Python, SQL, and Spark** , plus comfort working closely with engineering stacks for online inference, data pipelines, and model lifecycle tooling
+ Experience with **LLM adaptation** (e.g., fine-tuning, instruction tuning, preference optimization) and/or **agentic workflows** (tool use, RAG, evaluation harnesses, orchestration, safety/quality guardrails) applied to Search/Rec/Ads use-cases
+ Strong analytical thinking and applied research skills: ability to build evaluation frameworks, perform error analysis, and iterate based on data and user outcomes
+ Excellent communication skills: able to influence technical and non-technical stakeholders, write clear RFCs/design docs, and drive decisions in reviews
+ Self-driven, results-oriented, and able to operate as a multiplier across teams
**Nice to Have**
+ Publications or accepted papers/posters in **industry tracks** at top-tier conferences (e.g., **SIGIR, KDD, WWW, NeurIPS, ICML, ACL, EMNLP, RecSys** ), or equivalent demonstrated external technical contributions (open-source, patents, invited talks)
+ Experience operating ML systems at scale: latency/throughput constraints, model monitoring, drift detection, experimentation platforms, and production incident learnings
+ Experience in multi-objective optimization (e.g., relevance + revenue + fairness + constraints) and online experimentation at high traffic
**Know More About Us:**
+ **Life at Target** - **Benefits** - **Culture-**

Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. For us at Trane Technologies ( , and through our businesses including Trane® ( and Thermo King ( , sustainability is not just how we do business-it is our business. Do you dare to look at the world's challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what's possible for a sustainable world.
Learn about our benefits ( designed for you to Thrive at work and at home.
We boldly go.
**Where is the work:**
Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires.
**Job Summary:**
We are seeking a Data Scientist / Senior Data Scientist with 5-7 years of experience in data science, machine learning, advanced analytics, and AI solution development, with a strong emphasis on Generative AI (GenAI) and AI application development. This role will focus on designing, developing, and deploying intelligent applications that combine traditional machine learning, modern GenAI capabilities, and scalable data engineering to solve real business problems.
The ideal candidate will bring strong expertise in Python, SQL, AI/ML deployment, and cloud-based solution development, along with hands-on experience in building LLM-powered applications, prompt-driven workflows, and GenAI-enabled products. This person should also have a strong interest in understanding industrial equipment, operating principles, and failure patterns to build impactful domain-specific AI solutions. The role requires close collaboration with cross-functional teams to deliver production-ready AI applications, accelerate innovation, and drive business value through practical adoption of GenAI.
**Job location** : Bangalore
**Working** : Hybrid - From Monday to Thursday, work onsite with your colleagues. On Fridays, choose your work location, balancing what your work requires.
**Responsibilities:**
+ Analyze large, complex datasets to uncover trends, patterns, anomalies, and actionable business insights.
+ Design, develop, and deploy AI and GenAI applications that address business needs using machine learning, large language models, and intelligent workflow orchestration.
+ Build and optimize predictive, statistical, and time series models for business and operational use cases.
+ Develop robust data pipelines, ETL workflows, and feature engineering processes using SQL and Python to support AI/ML applications.
+ Lead Python-based application development for automation, data transformation, model integration, API development, and AI-powered workflows.
+ Develop LLM-powered solutions such as copilots, knowledge assistants, summarization tools, search-and-retrieval solutions, and domain-specific recommendation systems.
+ Apply Generative AI techniques including prompt engineering, retrieval-augmented generation (RAG), orchestration frameworks, grounding strategies, response evaluation, and workflow integration.
+ Prototype and productionize AI application architectures, including integrations with vector databases, model APIs, cloud services, and enterprise systems.
+ Contribute to the evaluation, monitoring, and continuous improvement of AI systems, including model quality, hallucination reduction, latency, cost, and user experience.
+ Collaborate with product managers, engineers, analysts, domain experts, and business stakeholders to define, prioritize, and deliver AI-driven solutions.
+ Translate business problems into scalable AI/ML and GenAI use cases, technical designs, and implementation roadmaps.
+ Develop and enhance dashboards, reports, and BI solutions using Tableau where needed to support model insights and business decisions.
+ Ensure strong data quality, governance, security, compliance, and responsible AI practices across solution development and deployment.
**Technical Skills/ Qualifications:**
+ Bachelor's degree in Computer Science, Data Science, Engineering, AI, or a related field; master's degree or advanced certification preferred.
+ 5-7 years of experience in data science, advanced analytics, AI engineering, or related roles.
+ Strong proficiency in Python for data science, API integration, automation, and AI application development.
+ Advanced proficiency in SQL, including complex querying, performance tuning, data transformation, and data modeling.
+ Strong knowledge of statistics, machine learning algorithms, applied mathematics, and time series analysis.
+ Hands-on experience with Generative AI and large language model applications, including prompt engineering, RAG patterns, model evaluation, and practical enterprise use case implementation.
+ Experience building AI applications using frameworks and libraries such as Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, and exposure to modern GenAI frameworks such as LangChain, LlamaIndex, or similar tools.
+ Experience integrating with foundation model APIs and deploying AI solutions in production environments.
+ Familiarity with vector databases, embeddings, semantic search, document retrieval, and knowledge-grounded AI applications.
+ Understanding of MLOps / LLMOps, CI/CD pipelines, model versioning, testing, and release management.
+ Exposure to cloud platforms such as AWS, Azure, or GCP, including AI/ML services and scalable deployment patterns.
+ Experience with Git and version control best practices.
+ Experience with Dataiku is an advantage.
+ Expertise in Tableau or similar BI tools for reporting and stakeholder communication is desirable.
+ Desirable domain awareness of industrial systems such as compressors, motors, power systems, refrigeration systems, and IC engines.
+ Strong understanding of responsible AI, data governance, security, and compliance considerations in AI solution development.
**Soft Skills:**
+ Strong analytical and problem-solving skills with a structured, methodical approach.
+ Excellent verbal and written communication skills with the ability to explain complex topics clearly.
+ Ability to work effectively with both technical and non-technical stakeholders.
+ Strong collaborative and team-oriented mindset with a proactive, customer-focused, and results-driven approach.
+ Ability to work independently with minimal supervision and manage multiple priorities.
+ High ownership, attention to detail, and commitment to timely, accurate delivery.
+ Adaptability to changing priorities, technologies, and business needs
We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.