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ai specialist

Fractal

<div>
 It's fun to work in a company where people truly BELIEVE in what they are doing!
 
 
 
 We're committed to bringing passion and customer focus to the business.
 
 
 
 
 Job Summary
 
 
 
 As an AI/ML Data Scientist specializing in Generative AI, You will design, develop &amp; deploy advanced machine learning models &amp; natural language processing solutions focused on cutting-edge generative technologies. You will be responsible for building scalable AI systems that analyze &amp; generate human-like text, collaborating with cross-functional teams to deliver impactful enterprise AI products. Your expertise in Python, state-of-the-art deep learning frameworks &amp; recent generative AI training will enable you to innovate in the development of AI solutions that solve complex business problems &amp; push the boundaries of AI research by implementing them in real world use cases driving innovation across industries/domains.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build NLP and AI/ML solutions extracting insights from user comments, chat transcripts, and unstructured text using latest NLP and generative AI techniques.
 </li>
 <li>
 Design and develop solutions using state-of-the-art deep learning and language models.
 </li>
 <li>
 Identify and prepare annotated datasets for supervised learning.
 </li>
 <li>
 Train, fine-tune, and evaluate generative AI and NLP models.
 </li>
 <li>
 Analyze model performance statistically and iteratively improve models.
 </li>
 <li>
 Implement logical algorithms, write clean, reproducible code, and support AI research efforts.
 </li>
 <li>
 Collaborate across teams to deploy large-scale AI platforms and applications.
 
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 2-4 years of experience in AI/ML or NLP projects with solid proficiency in Python.
 </li>
 <li>
 Recent training or certification in Generative AI.
 </li>
 <li>
 Hands-on experience with NLP libraries and deep learning frameworks (e.g., Huggingface Transformers, RAGs, TensorFlow, PyTorch).
 </li>
 <li>
 Familiarity with SQL and text representation techniques.
 </li>
 <li>
 Experience in building and deploying AI solutions is preferred.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiarity with Cloud AI deployments &amp; integrating LLMs via Azure OpenAI, Google Vertex AI or AWS Bedrock
 </li>
 <li>
 Experience with data visualization tools like Tableau or Qlik.
 </li>
 <li>
 Exposure to agentic AI platforms or large reasoning models.
 </li>
 <li>
 Understanding of LLMs, Gen Ai frameworks &amp; tools.
 
 
 
 </li>
 </ul>
 
 Education
 
 
 
 B.E/B.Tech/M.Tech in Computer Science or related technical field, or equivalent experience.
 
 
 
 Location
 
 :
 
 
 All Fractal Locations - Bengaluru, Mumbai, Gurugram, Pune, Noida, Chennai, Coimbatore, Hyderabad
 
 
 *Joining Preference: We are looking for candidates who join us by 15th Nov 2025, so we prefer candidates who can join immediately or within 30 days.*
 
 
 If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
 
 
 Not the right fit? Let us know you're interested in a future opportunity by clicking
 
 Introduce Yourself
 
 in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
</div>

Data Scientist - AI/ML Generative AI Specialist

Commonwealth Bank

<div>
 
 Job Description
 
 
 
 Organisation:
 
 
 
 At CommBank, we never lose sight of the role we play in other people&rsquo;s financial wellbeing. Our focus is to help people and businesses move forward, to progress. To make the right financial decisions and achieve their dreams, targets and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas and energy all contribute to the impact that we can make with our work. Together we can achieve great things.
 
 
 
 
 
 
 Job Title:
 
 Senior Staff Data Scientist &ndash; COO AI &amp; Advanced Analytics CoE
 
 
 
 Location:
 
 Bengaluru
 
 
 
 
 
 
 Business &amp; Team:
 
 COO AI &amp; Advanced Analytics CoE
 
 
 
 
 
 
 Impact &amp; contribution:
 
 
 
 The Senior Staff Scientist is a strategic and technically advanced individual contributor role within the COO AI &amp; Advanced Analytics CoE. This position is designed for a seasoned expert who combines deep technical expertise with leadership in innovation, analytics enablement, and operational transformation. The role will drive the technical maturity of the CoE, uplift AI capabilities across operations, and deliver high-impact insights and solutions
 
 
 
 
 
 Lead the design, development, and deployment of end-to-end agentic AI solutions, embedding autonomous decision-making capabilities into operational workflows.
 
 
 Drive innovation in generative AI, including prompt engineering, fine-tuning, and safe deployment of LLM-based applications.
 
 
 Provide hands-on technical leadership across the full lifecycle&mdash;design, implementation, deployment, and governance&mdash;ensuring robustness, explainability, and safety.
 
 
 Champion best practices in data science standards, including code quality, model governance, and operationalisation.
 
 
 
 
 
 
 Roles &amp; Responsibilities:
 
 
 
 
 Strategic Enablement &amp; Delivery
 
 
 <ul>
 <li>
 Accelerate AI and analytics capability, delivery, and adoption across operations teams.
 </li>
 <li>
 Translate complex analytical findings into actionable business insights that enhance operational efficiency and risk management.
 </li>
 <li>
 Partner with senior leadership to identify and prioritise strategic challenges that can be addressed through analytics.
 </li>
 </ul>
 
 
 
 
 
 Mentorship &amp; Culture Building
 
 
 <ul>
 <li>
 Act as a role model and mentor for junior and mid-level data scientists, fostering a high-performance culture.
 </li>
 <li>
 Build strong relationships across the COO and analytics community to drive collaboration and shared outcomes.
 </li>
 </ul>
 
 
 
 
 
 Operational &amp; Analytical Excellence
 
 
 <ul>
 <li>
 Lead exploration of new data sources and advanced modelling techniques to support fraud detection, operational insights, and strategic initiatives.
 </li>
 <li>
 Maintain data governance standards and ensure compliance with regulatory and ethical guidelines.
 </li>
 </ul>
 
 
 
 
 
 Essential Skills:
 
 
 <ul>
 <li>
 Minimum 10 years of experience in data science, AI, or machine learning roles, with a strong track record of technical leadership.
 </li>
 <li>
 Proven experience in deploying AI/ML solutions in production, including cloud-native architectures (e.g., AWS, Azure, GCP).
 </li>
 <li>
 Deep understanding of the AI ecosystem, including:
 </li>
 <li>
 Agentic AI frameworks: LangChain, LangGraph, CrewAI, AutoGen
 </li>
 <li>
 Observability and monitoring: Langfuse, PromptLayer
 </li>
 <li>
 Vector databases: FAISS, Pinecone, Weaviate
 </li>
 <li>
 LLM orchestration: OpenAI, Anthropic, Hugging Face Transformers
 </li>
 <li>
 MLOps: MLflow, Kubeflow, Vertex AI, SageMaker
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Education Qualifications :
 
 Bachelor&rsquo;s degree in Engineering in Computer Science/Information Technology.
 
</div>

Staff Data Scientist

PwC Acceleration Center India

<div>
 
 PwC AC is hiring for Data scientist
 
 
 Apply and get a chance to work with one of the Big4 companies #PwC AC.
 
 
 
 
 
 
 Job Tit
 
 le
 
 :
 
 Data scientist
 
 
 
 Years of Experienc
 
 e: 3-7 years
 
 
 
 Shift Timin
 
 gs: 11AM-8PM
 
 
 
 Qualificati
 
 on: Graduate and above(Full time)
 
 
 
 
 
 
 About PwC CTIO &ndash; AI Engineering
 
 
 
 PwC&rsquo;s
 
 Commercial Technology and Innovation Office (CTIO)
 
 is at the forefront of emerging technology, focused on building transformative AI-powered products and driving enterprise innovation. The
 
 AI Engineering
 
 team within CTIO is dedicated to researching, developing, and operationalizing cutting-edge technologies such as Generative AI, Large Language Models (LLMs), AI Agents, and more. Our mission is to continuously explore what's next&mdash;enabling business transformation through scalable AI/ML solutions while remaining grounded in research, experimentation, and engineering excellence.
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking a
 
 Senior Associate &ndash; Data Science/ML/DL/GenAI
 
 to join our high-impact, entrepreneurial team. This individual will play a key role in designing and delivering scalable AI applications, conducting applied research in GenAI and deep learning, and contributing to the team&rsquo;s innovation agenda. This is a hands-on, technical role ideal for professionals passionate about AI-driven transformation.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning, deep learning, and Generative AI solutions tailored to business use cases.
 </li>
 <li>
 Build scalable pipelines using Python (and frameworks such as Flask/FastAPI) to operationalize data science models in production environments.
 </li>
 <li>
 Prototype and implement solutions using state-of-the-art LLM frameworks such as LangChain, LlamaIndex, LangGraph, or similar. Also developing applications in streamlit/chainlit for demo purposes.
 </li>
 <li>
 Design advanced prompts and develop agentic LLM applications that autonomously interact with tools and APIs.
 </li>
 <li>
 Fine-tune and pre-train LLMs (HuggingFace and similar libraries) to align with business objectives.
 </li>
 <li>
 Collaborate in a cross-functional setup with ML engineers, architects, and product teams to co-develop AI solutions.
 </li>
 <li>
 Conduct R&amp;D in NLP, CV, and multi-modal tasks, and evaluate model performance with production-grade metrics.
 </li>
 <li>
 Stay current with AI research and industry trends; continuously upskill to integrate the latest tools and methods into the team&rsquo;s work.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 
 3 to 7 years
 
 of experience in Data Science/ML/AI roles.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or equivalent technical discipline (BE/BTech/MCA).
 </li>
 <li>
 Proficiency in Python and related data science libraries: Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, PyTorch, Keras, etc.
 </li>
 <li>
 Hands-on experience with
 
 Generative AI
 
 , including prompt engineering, LLM fine-tuning, and deployment.
 </li>
 <li>
 Experience with Agentic LLMs and task orchestration using tools like LangGraph or AutoGPT-like flows.
 </li>
 <li>
 Strong knowledge of NLP techniques, transformer architectures, and text analysis.
 </li>
 <li>
 Proven experience working with cloud platforms (preferably Azure; AWS/GCP also considered).
 </li>
 <li>
 Understanding of production-level AI systems including CI/CD, model monitoring, and cloud-native architecture. (Need not develop from scratch)
 </li>
 <li>
 Familiarity with ML algorithms: XGBoost, GBM, k-NN, SVM, Decision Forests, Naive Bayes, Neural Networks, etc.
 </li>
 <li>
 Exposure to deploying AI models via APIs and integration into larger data ecosystems.
 </li>
 <li>
 Strong understanding of model operationalization and lifecycle management.
 </li>
 </ul>
 
 
 
 
 
 Good to Have
 
 
 <ul>
 <li>
 Experience with Docker, Kubernetes, and containerized deployments for ML workloads.
 </li>
 <li>
 Use of MLOps tooling and pipelines (e.g., MLflow, Azure ML, SageMaker, etc.).
 </li>
 <li>
 Experience in full-stack AI applications, including visualization (e.g., PowerBI, D3.js).
 </li>
 <li>
 Demonstrated track record of delivering AI-driven solutions as part of large-scale systems.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills &amp; Team Expectations
 
 
 <ul>
 <li>
 Strong written and verbal communication; able to explain complex models to business stakeholders.
 </li>
 <li>
 Ability to independently document work, manage requirements, and self-drive technical discovery.
 </li>
 <li>
 Desire to innovate, improve, and automate existing processes and solutions.
 </li>
 <li>
 Active contributor to team knowledge sharing, technical forums, and innovation drives.
 </li>
 <li>
 Strong interpersonal skills to build relationships across cross-functional teams.
 </li>
 <li>
 A mindset of continuous learning and technical curiosity.
 </li>
 </ul>
 
 
 
 
 
 Preferred Certifications
 
 (at least two are preferred)
 
 
 
 <ul>
 <li>
 Certifications in Machine Learning, Deep Learning, or Natural Language Processing.
 </li>
 <li>
 Python programming certifications (e.g., PCEP/PCAP).
 </li>
 <li>
 Cloud certifications (Azure/AWS/GCP) such as Azure AI Engineer, AWS ML Specialty, etc.
 </li>
 </ul>
 
 
 
 
 
 Why Join PwC CTIO?
 
 
 <ul>
 <li>
 Be part of a mission-driven AI innovation team tackling industry-wide transformation challenges.
 </li>
 <li>
 Gain exposure to bleeding-edge GenAI research, rapid prototyping, and product development.
 </li>
 <li>
 Contribute to a diverse portfolio of AI solutions spanning pharma, finance, and core business domains.
 </li>
 <li>
 Operate in a startup-like environment within the safety and structure of a global enterprise.
 </li>
 <li>
 Accelerate your career as a deep tech leader in an AI-first future.
 </li>
 </ul>
</div>

Data Scientist

Tide

<div>
 
 About Tide
 
 
 
 At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.
 
 
 Tide is transforming the small business banking market with over 1.6 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to help SMEs save both time and money.
 
 
 
 Tide Facts
 
 
 
 <ul>
 <li>
 Tide is available for UK, Indian, German and French SMEs
 </li>
 <li>
 Over 1.6 million members: 800,000 UK and 800,000 in India and growing rapidly
 </li>
 <li>
 Over $200 million raised in funding
 </li>
 <li>
 Over 2500 Tideans globally - we&rsquo;re diversity champions!
 </li>
 <li>
 We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, India
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 A talented Data Scientist (DS-3) with generative AI expertise to contribute to the development and implementation of advanced AI solutions. You'll work on generative AI projects, applying your skills in LangChain, LangGraph, SQL, Python, AWS Bedrock, and Databricks to solve business challenges as part of our innovative team.
 
 
 
 As a Lead Data Scientist You&rsquo;ll Be
 
 
 
 <ul>
 <li>
 Implementation &amp; Development: Implement generative AI solutions leveraging AWS Bedrock and Databricks based on established architectural patterns
 </li>
 <li>
 Technical Execution: Apply your expertise in generative AI, LLMs, and related technologies to deliver high-quality solutions
 </li>
 <li>
 Cross-Functional Collaboration: Work with product, engineering, and business teams to understand requirements and implement effective AI solutions Statistical Analysis: Apply appropriate statistical methods to validate models and hypotheses
 </li>
 <li>
 Data Analysis: Conduct thorough exploratory data analysis and handle data quality issues effectively Feature Engineering: Implement feature engineering techniques for ML models, including dimensionality reduction and feature selection
 </li>
 <li>
 Model Development: Build and tune generative AI models using frameworks like LangChain and LangGraph with proper regularization techniques
 </li>
 <li>
 Intent Classification: Implement intent detection systems combining LLMs with data analysis techniques
 </li>
 <li>
 Response Generation: Develop components for generating structured responses by combining AI with business rules
 </li>
 <li>
 Continuous Learning: Stay current with generative AI techniques and apply new approaches to improve solutions
 </li>
 <li>
 Documentation &amp; Knowledge Sharing: Create clear documentation and share knowledge with team members
 </li>
 <li>
 Testing &amp; Validation: Thoroughly test generative AI applications to ensure they meet requirements and quality standards
 
 
 </li>
 </ul>
 
 What Are We Looking For
 
 
 
 <ul>
 <li>
 6+ years of experience in data science, machine learning, or related field 1+ years of hands-on experience with generative AI, large language models (LLMs), or natural language processing
 </li>
 <li>
 Experience with traditional NLP models and techniques Strong proficiency in Python and SQL for data retrieval and processing
 </li>
 <li>
 Solid understanding of statistics, hypothesis testing, and probability distributions
 </li>
 <li>
 Experience with LangChain, LangGraph for implementing AI workflows
 </li>
 <li>
 Understanding of prompt engineering, RAG (Retrieval Augmented Generation), and fine-tuning techniques for LLMs Experience implementing intent detection systems using generative AI Familiarity with rule-based systems to augment AI capabilities
 </li>
 <li>
 Experience with cloud platforms, particularly AWS services
 </li>
 <li>
 Familiarity with Knowledge Graphs for LLM use cases
 </li>
 <li>
 Knowledge of evaluation approaches for generative AI outputs
 </li>
 <li>
 Experience with Databricks or similar data processing platforms
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 Advanced degree in Computer Science, Data Science, Machine Learning, or related field
 </li>
 <li>
 Experience in customer support AI applications Knowledge of vector databases and embedding techniques
 </li>
 <li>
 Familiarity with semantic search technologies
 </li>
 <li>
 Experience with data pipelines and ETL processes
 </li>
 <li>
 Knowledge of software development best practices including version control
 </li>
 <li>
 Contributions to data science or AI projects or communities
 
 
 </li>
 </ul>
 
 What You Will Get In Return
 
 
 
 Make work, work for you! We are embracing new ways of working and support flexible working arrangements. With our Working Out of Office (WOO) policy our colleagues can work remotely from home or anywhere in their assigned Indian state. Additionally, you can work from a different country or Indian state for 90 days of the year. Plus, you&rsquo;ll get:
 
 
 <ul>
 <li>
 Competitive salary
 </li>
 <li>
 Self &amp; Family Health Insurance
 </li>
 <li>
 Term &amp; Life Insurance
 </li>
 <li>
 OPD Benefits
 </li>
 <li>
 Mental wellbeing through Plumm
 </li>
 <li>
 Learning &amp; Development Budget
 </li>
 <li>
 WFH Setup allowance
 </li>
 <li>
 15 days of Privilege leaves
 </li>
 <li>
 12 days of Casual leaves
 </li>
 <li>
 12 days of Sick leaves
 </li>
 <li>
 3 paid days off for volunteering or L&amp;D activities
 </li>
 <li>
 Stock Options
 
 
 </li>
 </ul>
 TIDEAN WAYS OF WORKING
 
 
 At Tide, we champion a
 
 flexible workplace
 
 model that supports both in-person and remote work to cater to the specific needs of our different teams.
 
 
 While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.
 
 
 TIDE IS A PLACE FOR EVERYONE
 
 
 At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members&rsquo; diverse needs and lives.
 
 
 We are One Team and foster a transparent and inclusive environment, where everyone&rsquo;s voice is heard.
 
 
 
 At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone&rsquo;s voice is heard.
 
 
 
 
 Disclaimer
 
 
 
 It Has Come To Our Attention That Individuals Or Agencies Are Falsely Claiming To Represent Tide And Are Reaching Out To Candidates Regarding Job Opportunities. Please Be Aware That
 
 
 <ul>
 <li>
 Tide does not charge any fees at any stage of the recruitment process.
 </li>
 <li>
 All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel.
 </li>
 <li>
 Communication from Tide will only come from an official @tide.co email address.
 </li>
 <li>
 Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf.
 
 
 </li>
 </ul>
 
 If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co
 
 
 Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.
 
 
 
 
 
 You personal data will be processed by Tide for recruitment purposes and in accordance with
 
 
 Tide's Recruitment Privacy Notice
 
 
 .
 
 
</div>

Lead Data Scientist(Gen AI)

eBay

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 
 
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 
 
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 Looking for a company that inspires passion, courage and creativity, where you can be on the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you&rsquo;re interested in joining a purpose driven community that is dedicated to crafting an ambitious and inclusive work environment, join eBay &ndash; a company you can be proud to be with.
 
 
 Our Shipping team is at the heart of the e-commerce experience, influencing key buying/selling decisions by surfacing the best shipping options and ensuring a seamless post-purchase delivery journey for millions of buyers and sellers. Shipping is a critical component of trust and satisfaction on our platform. Our team develops and deploys sophisticated machine learning models to solve complex logistics challenges, such as predicting accurate delivery dates, optimizing shipping costs and options, and modeling complex carrier networks. We operate at a massive scale, leveraging advanced MLOps to deliver these critical services in a high-volume, low latency global e-commerce environment.
 
 
 As a Senior Data Scientist, you will take a hands-on role building our cutting-edge shipping intelligence platform. Using the latest ML, deep learning, and AI techniques, you will research and deploy sophisticated models to solve tangible problems like optimizing logistics. You will partner with product managers, engineers, and researchers to get these data-driven solutions into production at eBay's global scale, directly enabling a delightful and efficient shipping experience for millions of users.
 
 
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 2 Years experience in analytics, data science role
 </li>
 <li>
 Strong Data &amp; Analytics Skills &ndash; Proficiency in SQL &amp; Python for data wrangling, analytics, and automation
 </li>
 <li>
 Experience in building and operating Machine Learning, Deep Learning, Natural Language Processing (NLP) and Large Language Model solutions in large production scale environments
 </li>
 <li>
 Strong Communication &ndash; Ability to turn complex findings into actionable recommendations for Product, AI, and Engineering teams
 </li>
 <li>
 AI/LLM Experience &ndash; Hands-on experience with LLMs, prompt engineering, and retrieval-augmented generation (RAG) for AI-powered insights (Preferred)
 </li>
 <li>
 Model Evaluation Know-How &ndash; Ability to define metrics and evaluation frameworks for assessing ML-driven taxonomy and classification models
 </li>
 <li>
 Startup DNA &ndash; High agency, thrive in fast-paced, iterative environments with deep cross-functional collaboration
 
 
 
 </li>
 </ul>
 Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
 
 
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 
 
 The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
</div>

Capgemini

<div>
 
 Job Description
 
 
 
 Data Scientist Description:
 
 
 Degree and Qualification:
 
 
 <ul>
 <li>
 BE/B.Tech, ME/M.Tech in CSE/IT, Statistics, or a related field.
 </li>
 <li>
 Master&rsquo;s degree in data science, AI, or a related field is preferred.
 
 
 </li>
 </ul>
 Number of Years of Experience as a Data Analyst / Scientist: 3-8 years
 
 
 Language Skills:
 
 
 <ul>
 <li>
 Good communication skills in English, proficiency in German is an added advantage.
 
 
 </li>
 </ul>
 Domain Knowledge:
 
 
 <ul>
 <li>
 Strong understanding of supply chain and supplier performance evaluation processes.
 </li>
 <li>
 Familiarity with procurement, supplier management, inbound processes, and logistics concepts like goods receipt, delivery note, and part numbers.
 </li>
 <li>
 Basic knowledge of plant logistics and operational efficiency.
 
 
 </li>
 </ul>
 Technical Skills: Python, PySpark, SQL, Power BI (Advanced Level), Databricks, Azure/AWS, Machine Learning, Data Visualization, TensorFlow, PyTorch, and deploying ML models in production.
 
 
 Digital Expertise:
 
 
 <ul>
 <li>
 Power BI Desktop (advanced):
 </li>
 <li>
 Advanced knowledge of building dashboards, creating data models, and writing DAX expressions,
 </li>
 <li>
 Ability to develop custom visualizations in Power BI using Python scripts / other suitable methods to create charts and data representations not supported natively by Power BI
 </li>
 <li>
 Ability to write Python scripts to process and transform data within Power Query for advanced analytics and visualization scenarios.
 </li>
 <li>
 Strong design / Power BI UI/ UX skills to ensure Power BI dashboards aligns with business objectives and effectively tells a data-driven story.
 </li>
 <li>
 Power BI Service (advanced):: Experience in publishing, refreshing, and managing reports in Power BI Service, including RLS and data gateways.
 </li>
 <li>
 Machine Learning &amp; AI:
 </li>
 <li>
 Experience in building predictive models using machine learning algorithms such as regression, classification, clustering, and anomaly detection.
 </li>
 <li>
 Familiarity with AI concepts like neural networks, NLP, or reinforcement learning.
 </li>
 <li>
 Data Wrangling &amp; Analysis:
 </li>
 <li>
 Proficiency in Python and popular data libraries like Pandas, NumPy, and Scikit-learn.
 </li>
 <li>
 Experience in PySpark for distributed data processing and large-scale data transformation.
 </li>
 <li>
 Strong SQL skills for querying relational databases, optimizing queries, and handling complex datasets.
 </li>
 <li>
 Communication &amp; Stakeholder Management:
 </li>
 <li>
 Ability to effectively communicate technical insights to non-technical stakeholders.
 </li>
 <li>
 Strong customer-facing communication skills and experience collaborating with cross-functional teams.
 
 
 </li>
 </ul>
 Behavioral / Personal Skills:
 
 
 <ul>
 <li>
 Willingness to learn and apply new skills.
 </li>
 <li>
 High adaptability and readiness to handle unstructured tasks.
 </li>
 <li>
 Strong analytical mindset, with a focus on problem-solving and result-oriented thinking.
 </li>
 <li>
 Team player with excellent communication and interpersonal skills.
 
 
 </li>
 </ul>
 Job Location: Bengaluru
 
 
 Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.
 
 
 
 Job Description - Grade Specific
 
 
 
 Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.
</div>

Data Scientist Engineer

Juego Studios

<div>
 
 
 Job Description: Data Research Specialist &ndash; B2B Leads
 
 
 
 
 Location:
 
 
 
 Bangalore, India
 
 
 
 About the Role:
 
 
 
 We are seeking a highly skilled Data Research Specialist who can leverage advanced AI, data science, and automation to identify, enrich, and deliver high-quality B2B leads. This role is integral to enhancing our sales pipeline by providing actionable intelligence, predictive insights, and accurate datasets for our business development and marketing teams.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 - Lead Identification &amp; Enrichment: Research and build high-quality B2B lead databases using AI/ML-based tools, web scraping frameworks, and third-party APIs. Enrich and validate prospect data (e.g., firmographics, technographics, buying signals) from multiple data sources like LinkedIn, Crunchbase, ZoomInfo, and industry directories.
 </li>
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 - Data Analysis &amp; Predictive Modeling: Apply machine learning techniques to score and prioritize leads based on historical performance. Conduct trend analysis to refine Ideal Customer Profiles (ICP) and suggest new target segments.
 </li>
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 - Automation &amp; Tool Development: Build and maintain Python scripts or automated pipelines for large-scale data scraping and cleaning. Evaluate and integrate LLM-based tools (e.g., LangChain, OpenAI APIs) for intelligent data extraction and enrichment.
 </li>
 <li>
 - Collaboration &amp; Reporting: Partner with Sales and Marketing teams to align data research efforts with campaign goals. Deliver dashboards and insight reports (Power BI, Tableau, or similar) to track lead quality, conversion trends, and market opportunities. Support A/B testing of targeting strategies and provide data-driven recommendations.
 </li>
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 - Compliance &amp; Data Integrity: Ensure adherence to data privacy regulations (GDPR, Indian DPDP Act) and ethical AI usage. Maintain data hygiene and prevent duplication across CRM systems like Salesforce or HubSpot.
 </li>
 </ul>
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 - Bachelor&rsquo;s/Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
 </li>
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 - 3&ndash;5 years of experience in B2B lead research, sales intelligence, or data analytics roles.
 </li>
 <li>
 - Proven expertise in Python/R for data scraping, cleaning, and analysis.
 </li>
 <li>
 - Experience with web scraping tools like BeautifulSoup, Scrapy, or Selenium.
 </li>
 <li>
 - Proficiency with data visualization platforms (Power BI, Tableau) and CRM systems (HubSpot, Salesforce).
 </li>
 <li>
 - Knowledge of machine learning frameworks (Scikit-learn, TensorFlow, or PyTorch) for predictive modeling.
 </li>
 <li>
 - Familiarity with Gen-AI/LLM tools (e.g., ChatGPT API, Hugging Face models) for data enrichment and summarization.
 </li>
 </ul>
 
 
 Preferred Skills (Nice-to-Have):
 
 
 <ul>
 <li>
 - Experience with vector databases or embedding-based search for advanced prospect matching.
 </li>
 <li>
 - Familiarity with marketing automation platforms (Marketo, Pardot).
 </li>
 <li>
 - Understanding of big data frameworks (Spark, Hadoop) for large-scale processing.
 </li>
 <li>
 - Knowledge of industry-specific B2B sales cycles (SaaS, gaming, IT services).
 </li>
 </ul>
 
 
</div>

Data Research Analyst

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