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NetApp

<div>
 
 About NetApp
 
 
 
 NetApp is the intelligent data infrastructure company, turning a world of disruption into opportunity for every customer. No matter the data type, workload or environment, we help our customers identify and realize new business possibilities. And it all starts with our people.
 
 
 If this sounds like something you want to be part of, NetApp is the place for you. You can help bring new ideas to life, approaching each challenge with fresh eyes. Of course, you won't be doing it alone. At NetApp, we're all about asking for help when we need it, collaborating with others, and partnering across the organization - and beyond.
 
 
 
 Job Summary
 
 
 
 We are looking for a talented Data Scientist to join our team. The ideal candidate will have a strong foundation in data analysis, statistical models, and machine learning algorithms. You will work closely with the team to solve complex problems and drive business decisions using data. This role requires strategic thinking, problem-solving skills, and a passion for data.
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Analyse large, complex datasets to extract insights and determine appropriate techniques to use.
 </li>
 <li>
 Build predictive models, machine learning algorithms and conduct A/B tests to assess the effectiveness of models.
 </li>
 <li>
 Present information using data visualization techniques.
 </li>
 <li>
 Collaborate with different teams (e.g., product development, marketing) and stakeholders to understand business needs and devise possible solutions.
 </li>
 <li>
 Stay updated with the latest technology trends in data science.
 </li>
 <li>
 Develop and implement real-time machine learning models for various projects.
 </li>
 <li>
 Engage with clients and consultants to gather and understand project requirements and expectations.
 </li>
 <li>
 Write well-structured, detailed, and compute-efficient code in Python to facilitate data analysis and model development.
 </li>
 <li>
 Utilize IDEs such as Jupyter Notebook, Spyder, and PyCharm for coding and model development.
 </li>
 <li>
 Apply agile methodology in project execution, participating in sprints, stand-ups, and retrospectives to enhance team collaboration and efficiency.
 
 
 
 </li>
 </ul>
 Education
 
 
 IC - Typically requires a minimum of 5 years of related experience.Mgr &amp; Exec - Typically requires a minimum of 3 years of related experience.
 
 
 At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.
 
 
 
 Equal Opportunity Employer:
 
 
 
 NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification.
 
 
 
 Why NetApp?
 
 
 
 We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.
 
 
 We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life.
 
 
 If you want to help us build knowledge and solve big problems, let's talk.
</div>

Data Scientist

<div>
 Position Description
 
 
 At CGI, we&rsquo;re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we&rsquo;re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com.
 
 
 This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please.
 
 
 Your future duties and responsibilities
 
 
 Job Title: Data Scientist
 
 
 Position: Associate Consultant
 
 
 Experience : 4 to 7 Years
 
 
 Main location: Bangalore/Chennai/Hyderabad
 
 
 Position ID: J0825-0344
 
 
 Employment Type: Full Time
 
 
 We are seeking a talented and experienced Data Scientist / MLOps Engineer to join our team. In this role, you will be responsible for developing and operationalizing machine learning models, with a focus on NLP sentiment analysis, scoring, app recommendations, and sales forecasting. You will work closely with cross-functional teams to implement these solutions using Google Cloud services, Kubernetes, and containerization technologies.
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop and implement machine learning models for NLP sentiment analysis and scoring
 </li>
 <li>
 Create and optimize app recommendation systems using advanced ML techniques
 </li>
 <li>
 Build and maintain sales forecasting models to drive business insights
 </li>
 <li>
 Design and implement MLOps pipelines for model training, deployment, and monitoring
 </li>
 <li>
 Containerize ML applications and deploy them on Kubernetes clusters
 </li>
 <li>
 Collaborate with data engineers to design and implement data ingestion and wrangling pipelines using Google Cloud services
 </li>
 <li>
 Utilize BigQuery for large-scale data analysis and feature engineering
 </li>
 <li>
 Continuously improve model performance and operational efficiency
 
 
 </li>
 </ul>
 
 Required Qualifications To Be Successful In This Role
 
 
 
 <ul>
 <li>
 Master's degree in Computer Science, Data Science, or a related field
 </li>
 <li>
 3+ years of experience in machine learning and data science roles
 </li>
 <li>
 Strong proficiency in Python and data science libraries (e.g., NumPy, Pandas, Scikit-learn)
 </li>
 <li>
 Expertise in NLP techniques and frameworks (e.g., NLTK, spaCy, Transformers)
 </li>
 <li>
 Experience with recommendation systems and time series forecasting
 </li>
 <li>
 Solid understanding of MLOps principles and practices
 </li>
 <li>
 Proficiency in Google Cloud Platform services, especially: AI/ML offerings (e.g., Vertex AI, AutoML) Data ingestion services (e.g., Cloud Dataflow, Cloud Pub/Sub) Data processing services (e.g., Dataprep, Cloud Dataproc) BigQuery for large-scale data analysis
 </li>
 <li>
 Experience with containerization (Docker) and orchestration (Kubernetes)
 </li>
 <li>
 Familiarity with CI/CD pipelines and version control systems (e.g., Git)
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience with TensorFlow and/or PyTorch
 </li>
 <li>
 Knowledge of other cloud platforms (e.g., Azure, AWS) is a plus
 </li>
 <li>
 Familiarity with big data technologies (e.g., Spark, Hadoop)
 </li>
 <li>
 Experience with ML model serving frameworks (e.g., TensorFlow Serving, KFServing)
 </li>
 <li>
 Understanding of data privacy and security best practices
 </li>
 <li>
 Experience with data visualization tools (e.g., Data Studio, Looker)
 
 
 </li>
 </ul>
 Key Skills:
 
 
 <ul>
 <li>
 Machine Learning
 </li>
 <li>
 Natural Language Processing
 </li>
 <li>
 Recommendation Systems
 </li>
 <li>
 Time Series Forecasting
 </li>
 <li>
 Google Cloud Platform BigQuery Cloud Dataflow Cloud Pub/Sub Dataprep Cloud Dataproc Vertex AI
 </li>
 <li>
 Kubernetes
 </li>
 <li>
 Docker
 </li>
 <li>
 Python
 </li>
 <li>
 MLOps
 </li>
 <li>
 Data Analysis and Visualization
 </li>
 <li>
 Data Ingestion and Wrangling
 
 
 </li>
 </ul>
 
 Together, as owners, let&rsquo;s turn meaningful insights into action.
 
 
 
 Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you&rsquo;ll reach your full potential because&hellip;
 
 
 You are invited to be an owner from day 1 as we work together to bring our Dream to life. That&rsquo;s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company&rsquo;s strategy and direction.
 
 
 Your work creates value. You&rsquo;ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
 
 
 You&rsquo;ll shape your career by joining a company built to grow and last. You&rsquo;ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
 
 
 Come join our team&mdash;one of the largest IT and business consulting services firms in the world.
 
 
</div>

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>

PhonePe

<div>
 
 About PhonePe Limited:
 
 
 
 Headquartered in India, its flagship product, the PhonePe digital payments app, was launched in Aug 2016. As of April 2025, PhonePe has over 60 Crore (600 Million) registered users and a digital payments acceptance network spread across over 4 Crore (40+ million) merchants. PhonePe also processes over 33 Crore (330+ Million) transactions daily with an Annualized Total Payment Value (TPV) of over INR 150 lakh crore.
 
 
 PhonePe&rsquo;s portfolio of businesses includes the distribution of financial products (Insurance, Lending, and Wealth) as well as new consumer tech businesses (Pincode - hyperlocal e-commerce and Indus AppStore Localized App Store for the Android ecosystem) in India, which are aligned with the company&rsquo;s vision to offer every Indian an equal opportunity to accelerate their progress by unlocking the flow of money and access to services.
 
 
 
 Culture:
 
 
 
 At PhonePe, we go the extra mile to make sure you can bring your best self to work, Everyday!. And that starts with creating the right environment for you. We empower people and trust them to do the right thing. Here, you own your work from start to finish, right from day one. PhonePe-rs solve complex problems and execute quickly; often building frameworks from scratch. If you&rsquo;re excited by the idea of building platforms that touch millions, ideating with some of the best minds in the country and executing on your dreams with purpose and speed, join us!
 
 
 
 Job Description
 
 
 
 We are seeking a motivated and skilled Data Scientist with 3 years of experience to join our dynamic team. The ideal candidate will have a strong foundation in machine learning, with a focus on implementing algorithms at scale. Additionally, knowledge of computer vision and natural language processing will be ideal
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Develop and implement machine learning models, offline batch models as well as real time online and edge compute models
 </li>
 <li>
 Analyze complex datasets and extract meaningful insights to drive business decisions
 </li>
 <li>
 Collaborate with cross-functional teams to identify and solve business problems using data-driven approaches
 </li>
 <li>
 Communicate findings and recommendations to stakeholders effectively
 
 
 </li>
 </ul>
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
 </li>
 <li>
 3+ years of experience in a Data Scientist role
 </li>
 <li>
 Strong proficiency in Python and SQL
 </li>
 <li>
 Solid understanding of machine learning algorithms and statistical modeling techniques
 </li>
 <li>
 Knowledge of Natural Language Processing (NLP) and Computer Vision (CV) concepts and algorithms
 </li>
 <li>
 Hands-on experience implementing and deploying machine learning algorithms
 </li>
 <li>
 Experience with data visualization tools and techniques
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Excellent communication skills, both written and verbal
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience with PySpark and other big data processing frameworks
 </li>
 <li>
 Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch)
 
 
 </li>
 </ul>
 
 Technical Skills:
 
 
 
 <ul>
 <li>
 Programming Languages: Python (required), SQL (required), Java (basic knowledge preferred)
 </li>
 <li>
 Machine Learning: Strong foundation in traditional ML algorithms, and a working knowledge of NLP and Computer Vision
 </li>
 <li>
 Big Data: Deep knowledge of PySpark
 </li>
 <li>
 Data Storage and Retrieval: Familiarity with databases/mlflow preferred
 </li>
 <li>
 Mathematics: Strong background in statistics, linear algebra, and probability theory
 </li>
 <li>
 Version Control: Git
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Excellent communication skills to facilitate interactions with stakeholders
 </li>
 <li>
 Ability to explain complex technical concepts to non-technical audiences
 </li>
 <li>
 Strong problem-solving and analytical thinking
 </li>
 <li>
 Self-motivated and able to work independently as well as in a team environment
 </li>
 <li>
 Curiosity and eagerness to learn new technologies and methodologies
 
 
 </li>
 </ul>
 We're looking for a motivated individual who is passionate about data science and eager to take on challenging tasks. If you thrive in a fast-paced environment and are excited about leveraging cutting-edge technologies in machine learning to solve real-world problems, we encourage you to apply!
 
 
 
 PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles)
 
 
 
 <ul>
 <li>
 Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance
 </li>
 <li>
 Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System
 </li>
 <li>
 Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program
 </li>
 <li>
 Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy
 </li>
 <li>
 Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment
 </li>
 <li>
 Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy
 
 
 </li>
 </ul>
 
 
 Our inclusive culture promotes individual expression, creativity, innovation, and achievement and in turn helps us better understand and serve our customers. We see ourselves as a place for intellectual curiosity, ideas and debates, where diverse perspectives lead to deeper understanding and better quality results. PhonePe is an equal opportunity employer and is committed to treating all its employees and job applicants equally; regardless of gender, sexual preference, religion, race, color or disability. If you have a disability or special need that requires assistance or reasonable accommodation, during the application and hiring process, including support for the interview or onboarding process,
 
 
 
 
 please fill out this form.
 
 
 
 
 
 
 Read more about PhonePe
 
 
 
 
 on our blog
 
 
 
 
 .
 
 
 
 
 
 Life at PhonePe
 
 
 
 
 PhonePe in the news
 
</div>

Data Scientist (3-5)

Yulu

<div>
 
 
 About Yulu
 
 
 
 Yulu is India&rsquo;s leading shared micro-mobility platform, revolutionizing urban transportation through smart, sustainable, and electric-first mobility solutions. With a rapidly growing fleet of tech-enabled electric two-wheelers and a robust battery-swapping infrastructure, Yulu makes last-mile commutes not only efficient but also planet-friendly.
 
 
 Our IoT-driven platform and smart electric vehicles are helping cities reduce traffic congestion and carbon emissions while empowering millions with affordable and reliable transportation.
 
 
 Backed by industry giants like Bajaj Auto and Magna International, Yulu operates at the intersection of mobility, technology, and sustainability. Our mission is to reduce congestion, cut emissions, and transform how India moves &mdash; one ride at a time.
 
 
 With millions of rides completed, thousands of EVs on the road, and a rapidly expanding footprint, we&rsquo;re not just building EVs &mdash; we&rsquo;re building the future of urban mobility in India.
 
 
 
 
 
 🔗 Learn more: www.yulu.bike
 
 
 
 
 
 
 Role Summary
 
 
 
 Yulu is looking for a
 
 Data Scientist
 
 to work on developing and refining statistical models and Machine Learning algorithms to address real-world challenges. You will collaborate with cross-functional teams to identify analytical needs, perform exploratory data analysis, and optimize model performance. The role also involves building and maintaining data pipelines, ensuring data quality, and staying up-to-date with emerging AI/ML technologies. If you are passionate about using data to solve impactful problems and transform urban mobility, join us in our mission to reduce traffic congestion and air pollution!
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Collect, clean, and preprocess data from diverse sources to ensure quality and accuracy.
 </li>
 <li>
 Develop and refine statistical models and Machine Learning (ML) algorithms to solve real-world problems.
 </li>
 <li>
 Collaborate with cross-functional teams (e.g., data engineering, product, and business) to identify and understand analytical needs.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to uncover patterns, trends, and relationships in datasets.
 </li>
 <li>
 Evaluate model performance using appropriate metrics, and iterate to optimize accuracy and efficiency.
 </li>
 <li>
 Document analyses, methodologies, and best practices to maintain clear records for future reference.
 </li>
 <li>
 Stay up-to-date with emerging AI/ML technologies and actively explore new approaches&mdash;especially in the areas of deep learning, Generative AI, and Large Language Models (LLMs).
 </li>
 <li>
 Present findings and insights to both technical and non-technical stakeholders in a clear, concise manner.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Strong grounding in statistics, math, and machine learning
 </li>
 <li>
 Hands-on Python: pandas, NumPy, scikit-learn
 </li>
 <li>
 Comfortable working with data in
 
 SQL and/or pandas
 
 (joins, windows, groupbys)
 </li>
 <li>
 Clear written and verbal communication
 </li>
 <li>
 Experience with GenAI/LLMs (prompts, embeddings, simple RAG)
 </li>
 <li>
 Visualization: Streamlit, Matplotlib/Seaborn (or Plotly)
 </li>
 <li>
 Operations Research basics: vehicle routing, task assignment (e.g.,
 </li>
 <li>
 Hungarian), Job Scheduling
 </li>
 <li>
 Good software habits: Git, environments, basic tests; any cloud/warehouse exposure
 </li>
 </ul>
 
 
 
 
 
 We assure you
 
 
 <ul>
 <li>
 Be a part of an innovative company that values professional growth, trustworthy colleagues, a fun environment in the office, and well-being for the employees
 </li>
 <li>
 A culture that fosters growth, integrity, and innovation
 </li>
 </ul>
 
 
</div>

Indium

<div>
 
 
 We're Hiring: Data Scientist
 
 
 
 
 
 
 
 Exp
 
 -3-6years
 
 
 
 Location:
 
 Bangalore / Hyderabad
 
 
 
 Work Type:
 
 Full-Time | Hybrid
 
 
 
 Skills:
 
 NLP or Computer Vision - Text &amp; Image Automation, AI/ML Algorithms, Statistics, Qualitative analysis, project management
 
 
 
 Apply: Click Here
 
 
 
 
 
 
 
 Job Summary:
 
 
 
 
 
 
 We are seeking a highly motivated and detail-oriented
 
 Machine Learning Engineer
 
 with expertise in
 
 ML algorithms, statistics, NLP or computer vision
 
 , and a strong inclination toward
 
 project ownership and delivery
 
 . The ideal candidate is not only technically proficient but also highly organized, hardworking, and capable of driving projects independently or as part of a collaborative team.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and deploy
 
 machine learning models
 
 for real-world applications.
 </li>
 <li>
 Apply
 
 statistical methods
 
 and
 
 quantitative analysis
 
 to extract insights and optimize models.
 </li>
 <li>
 Build solutions in
 
 NLP or computer vision
 
 , particularly in
 
 text and image automation
 
 workflows.
 </li>
 <li>
 Work on end-to-end
 
 AI/ML project lifecycle
 
 , from problem definition to deployment and monitoring.
 </li>
 <li>
 Collaborate cross-functionally with data scientists, engineers, and stakeholders to meet project goals.
 </li>
 <li>
 Manage project timelines, track progress, and ensure timely delivery of high-quality outcomes.
 </li>
 <li>
 Demonstrate a strong work ethic, ownership mindset, and accountability throughout project execution.
 </li>
 </ul>
 
 
 
 
 
 Required Skills:
 
 
 
 
 
 <ul>
 <li>
 Solid understanding of
 
 machine learning algorithms
 
 and statistical techniques.
 </li>
 <li>
 Experience with
 
 NLP (Natural Language Processing)
 
 or
 
 Computer Vision
 
 .
 </li>
 <li>
 Proficiency in Python and relevant ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, OpenCV, spaCy).
 </li>
 <li>
 Familiarity with
 
 data preprocessing
 
 , model evaluation, and performance tuning.
 </li>
 <li>
 Strong analytical and problem-solving skills with a data-driven mindset.
 </li>
 <li>
 Excellent project management skills &ndash; ability to multitask, prioritize, and deliver on deadlines.
 </li>
 <li>
 Self-driven and hardworking, with a proactive approach to learning and development.
 </li>
 </ul>
 
 
 
 
 
 🌟 What&rsquo;s in It for You?
 
 
 
 
 
 
 
 A Happy Workplace
 
 We go beyond the ordinary to create a fun, inclusive, and collaborative work environment.
 
 
 
 Health Comes First
 
 Medical insurance for you and your family, 1:1 mental wellness sessions, and wellness initiatives.
 
 
 
 Skill Up to Scale Up
 
 Access to
 
 Indium Academy
 
 , our internal learning platform, and continuous upskilling support.
 
 
 
 Work-Life Balance
 
 Flexible hybrid work model + plenty of destressing and employee engagement activities.
 
 
 
 
 
 
 About Indium
 
 
 -
 
 Click Here
 
 
 
 
 
 Indium Tech is a next-gen digital engineering company driving innovation across Application Engineering, Generative AI, Data &amp; AI, Cloud &amp; Product Engineering, Intelligent Automation, Low-Code Development, Gaming, and Quality Engineering.
 
 
 
 
 
 With over 25 years in the industry and a vibrant team of 5,000+ professionals across India, Indium is trusted by global enterprises to deliver cutting-edge digital solutions. Our expertise has earned us recognition from Forbes as one of the Top AI Products and Clutch a Top Data Analytics Company, and ISG as Strong Contender in Data Science Services.
 
 
 
 
 
 We're proud to be Great Place to Work certified and ranked on the Inc. 5000 list of America's fastest-growing companies.
 
 
 
 
 
 #MachineLearning#ArtificialIntelligence Let&rsquo;s build something impactful together.
 
 
 #Hiring #MachineLearning #AI #DataScience #NLP #ComputerVision #MLJobs #TechJobs #ArtificialIntelligence #Python #DeepLearning #Statistics #Automation #JoinOurTeam #CareerOpportunity#NLP#MLAlgorithms
 
</div>

BitGo

<div>
 BitGo is the leading infrastructure provider of digital asset solutions, delivering custody, wallets, staking, trading, financing, and settlement services from regulated cold storage. Since our founding in 2013, we have focused on enabling our clients to securely navigate the digital asset space. With a global presence and multiple Trust companies, BitGo serves thousands of institutions, including many of the industry's top brands, exchanges, and platforms, and millions of retail investors worldwide. As the operational backbone of the digital economy, BitGo handles a significant portion of Bitcoin network transactions and is the largest independent digital asset custodian, and staking provider, in the world. For more information, visit www.bitgo.com.
 
 
 BitGo is looking for a
 
 Data Scientist
 
 who will join our Data Science and Analytics Team and help us continuously refine the framework that supports our growing business and make data-driven decisions.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Develop data-driven business insights and work with cross-functional partners to find opportunities and make product and growth recommendations.
 </li>
 <li>
 Develop and standardize metrics and dashboards that would identify trends and generate hypotheses about the product through a deep understanding of the data, our customers, and our business
 </li>
 <li>
 Work collaboratively with cross-functional teams to implement solutions driven by business requirements
 </li>
 <li>
 Develop and automate reporting of key performance indicators of various BitGo&rsquo;s products and services at scale
 </li>
 <li>
 Partner with product managers to design experiments to test hypothesis and help with idea generation and refinement
 </li>
 <li>
 Collaborate with engineering teams and stakeholders to build and improve on the availability, integrity, accuracy, and reliability of data pipelines
 </li>
 <li>
 Be a data evangelist and help BitGo improve its products and services
 
 
 </li>
 </ul>
 
 Skills &amp; Experience:
 
 
 
 We are looking for teammates who share and practice our values: open communication, transparency, taking ownership, and a high level of craftsmanship. We are looking for coworkers who share our vision and mission: deliver trust in digital assets.
 
 
 
 Required:
 
 
 
 <ul>
 <li>
 2+ years industry experience in data analytics field
 </li>
 <li>
 Advanced knowledge of SQL, scripting languages and database concepts
 </li>
 <li>
 The ability to clearly communicate complex results to technical and non-technical audiences
 </li>
 <li>
 Knowledge of Basic Statistics required
 </li>
 <li>
 Experience with Google Analytics / Hubspot / SEM will be a plus
 </li>
 <li>
 Experience with BI Tools (Tableau, Looker,Google Data Studio, Google Big Query)
 </li>
 <li>
 Familiarity with data warehouse development and best practices
 </li>
 <li>
 The versatility and willingness to learn new technologies on the job such as DBT, Airflow
 </li>
 <li>
 BA/BS or MA/MS degree in Mathematics, Statistics, Economics, Information Systems, Computer Science, Business Analytics, Data Science or related technical field
 
 
 </li>
 </ul>
 
 Why Join BitGo?
 
 
 
 Disrupting an industry takes vision, innovation, passion, technical chops, drive to deliver, collaboration, and execution. Join a team of great people who strive for excellence and personify our corporate values of ownership, craftsmanship, and open communication. We are looking for new colleagues who bring innovative ways of thinking and problem solving, and who want risks to be part of the team that changes the world&rsquo;s financial markets.
 
 
 Here are some of the benefits of working at BitGo:
 
 
 <ul>
 <li>
 Competitive salary
 </li>
 <li>
 IT equipment support for work
 </li>
 <li>
 Meal &amp; Commute allowance
 </li>
 <li>
 Medical Insurance
 </li>
 <li>
 Attractive Well-being allowance (comprises of medical, wellness and fitness aspects)
 </li>
 <li>
 Snacks: on-the-house in the Bangalore office
 </li>
 <li>
 Great/Talented workforce to learn and grow with
 
 
 </li>
 </ul>
 
 Note:
 
 This role requires working onsite (Monday to Friday) at the Bangalore office.
 
 
 Cryptocurrencies are the most disruptive change the financial services industry has seen in years. Join us and you'll be able to look back and say you were part of the team that transformed investing.
</div>

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