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data scientist-artificial intelligence

lead data scientist

data scientist artificial intelligence

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 <ul>
 <li>
 Work with broader team to build, analyze and improve the AI solutions.
 </li>
 <li>
 You will also work with our software developers in consuming different enterprise applications.
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services.
 </li>
 <li>
 Proficient in Python with focus on Data Analytics Packages.
 </li>
 <li>
 Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions.
 </li>
 <li>
 Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines.
 </li>
 <li>
 Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Experience with conversation analytics. Experience with cloud technologies
 </li>
 <li>
 Experience with data exploration tools such as Tableu
 </li>
 </ul>
</div>

Data Scientist-Artificial Intelligence

NTT DATA North America

<div>
 
 Req ID:
 
 336383
 
 
 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
 
 
 We are currently seeking a Data Science Business Sr. Consultant (BY/o9) to join our team in Bangalore, Karn&amacr;taka (IN-KA), India (IN).
 
 
 
 Position: Senior Consultant, Data Scientist &ndash; Supply Chain Consulting
 
 
 
 
 Experience Required:
 
 5 to 8 years in Data Science, Analytics, or related fields
 
 
 
 Location:
 
 Remote (within India) Or Hybrid from our offices in Bangalore, Delhi, and other locations
 
 
 
 What You&rsquo;ll Do
 
 
 
 NTT Data is seeking an experienced
 
 Data Scientist
 
 to join its
 
 Supply Chain Consulting
 
 team. You will be part of a global team that designs and delivers cutting-edge supply chain solutions for leading organizations.
 
 
 Your primary focus will be on developing and deploying
 
 forecasting solutions
 
 using both traditional statistical models and modern machine learning techniques. In addition to forecasting, you will contribute to building
 
 AI/ML-driven solutions
 
 for diverse real-world supply chain challenges.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and implement time series forecasting models for demand planning and other supply chain use cases.
 </li>
 <li>
 Apply statistical techniques such as ARIMA, ETS etc for effective &amp; strong baseline modeling.
 </li>
 <li>
 Implement and optimize machine learning algorithms (e.g., Boosting methods like LightGBM, CatBoost etc) to improve forecast accuracy.
 </li>
 <li>
 Collaborate with clients to understand business problems and translate them into data science solutions.
 </li>
 <li>
 Contribute to broader AI/ML initiatives across supply chain functions, including anomaly detection, inventory optimization, and scenario modeling.
 </li>
 <li>
 Communicate results effectively to technical and non-technical stakeholders.
 </li>
 <li>
 Work closely with digital supply chain platforms such as o9, Blue Yonder, or similar (experience preferred).
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 <ul>
 <li>
 5 to 8 years of hands-on experience in Data Science or Analytics, preferably in supply chain or operations domains.
 </li>
 <li>
 Strong expertise in time series forecasting, with proven experience implementing models like ARIMA, ETS, etc.
 </li>
 <li>
 Solid experience in applying machine learning techniques such as boosted trees, random forests, etc.
 </li>
 <li>
 Proficiency in Python (including libraries like pandas, scikit-learn, statsmodels/StatsForecast/DARTS etc) and SQL.
 </li>
 <li>
 Exposure to or experience with digital supply chain tools (e.g., o9, Blue Yonder) is highly desirable.
 </li>
 <li>
 Strong problem-solving and communication skills with the ability to manage client interactions independently.
 </li>
 <li>
 Understanding of MLOps, model deployment, or cloud platforms (Azure, AWS) is a plus.
 
 
 </li>
 </ul>
 
 About NTT DATA
 
 
 
 NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
 
 
 Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client&rsquo;s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
 
 
 
 
 NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us.
 
 
 
 
 This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
 
 
</div>

Data Science Business Sr. Consultant (BY/o9)

Infosys

<div>
 <ul>
 <li>
 Master's degree in Computer Science, Statistics, Mathematics, or a related field.
 </li>
 <li>
 7+ years of experience in data science and machine learning with a strong focus on model development and deployment.
 </li>
 <li>
 Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference.
 </li>
 <li>
 In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees, random forests, xgboost, and ensemble learning.
 
 
 </li>
 </ul>
 Evaluate the performance of machine learning models and refine them to improve accuracy andgeneralizability.
 
 
 <ul>
 <li>
 Communicate data insights to stakeholders in a clear and concise manner, using data visualization techniques and storytelling.
 </li>
 <li>
 collaborate with data engineers, software developers, and business stakeholders to integrate data science solutions into products and services.
 </li>
 <li>
 Stay up-to-date with the latest trends and developments in data science, machine learning, and artificial intelligence.
 </li>
 <li>
 Experience with Natural Language Processing (NLP) and Computer Vision (CV) techniques.
 </li>
 <li>
 Knowledge of DevOps methodologies and practices for continuous integration/continuous delivery (CI/CD).
 </li>
 <li>
 Experience with data warehousing and data lakes solutions like BigQuery or Snowflake.
 </li>
 <li>
 Familiarity with real-time data processing and streaming analytics.
 </li>
 <li>
 Passion for learning and staying at the forefront of data science and machine learning advancements.
 </li>
 </ul>
</div>

Data Scientist

Olyv India (formerly SmartCoin)

<div>
 
 
 About Olyv
 
 
 
 
 Olyv is on a mission to build India&rsquo;s largest fully automated digital financial inclusion platform, offering a diverse range of financial services including micro-loans for the underserved middle/lower-income segment, digital gold savings, and credit health solutions. Our vision is to empower millions by enabling access to responsible financial products through data, technology, and innovation.
 
 
 
 Role: Data Scientist &ndash; Marketing &amp; Credit Risk
 
 
 
 As a Data Scientist at Olyv, you will be part of a high-impact team driving data-led decision-making across both
 
 Marketing
 
 and
 
 Credit Risk
 
 verticals. You will design, develop, and deploy advanced machine learning models that fuel growth strategies, customer engagement, and risk management decisions.
 
 
 
 Requirement 1: Data Scientist &ndash; Marketing
 
 
 
 
 
 Preferred Qualifications
 
 
 
 
 <ul>
 <li>
 2 or more years of work experience in creating and deploying ML models
 </li>
 <li>
 Bachelor&rsquo;s degree in Engineering or a related field
 </li>
 <li>
 Advanced proficiency in SQL and Python is a must
 </li>
 <li>
 Hands-on experience in deploying ML models into production (batch or streaming)
 </li>
 <li>
 Experience in building ML models for marketing campaign channels such as Propensity Models, Hyper-Personalization, and Next Best Action (NBA)
 </li>
 <li>
 Strong analytical and problem-solving skills with attention to detail and the ability to manage multiple projects with evolving priorities
 </li>
 <li>
 Proven experience in end-to-end ownership of projects and collaboration with multiple stakeholders
 </li>
 <li>
 Excellent communication and presentation skills to simplify complex findings
 </li>
 <li>
 Experience with LLMs and Deep Learning models will be an added advantage
 
 
 </li>
 </ul>
 
 
 Roles And Responsibilities
 
 
 
 
 <ul>
 <li>
 End-to-end ownership of development and implementation of ML models for marketing, including design, validation, deployment, and monitoring
 </li>
 <li>
 Work with Non-Bureau and Alternate Data to build marketing analytics models
 </li>
 <li>
 Collaborate with teams such as Growth, Tech, Marketing, and Sales to enhance model usage in business decision-making
 </li>
 <li>
 Design and implement statistical and ML-based solutions for various marketing initiatives
 </li>
 <li>
 Build automated data pipelines for scalable and efficient data processing
 </li>
 <li>
 Mentor junior data analysts and data scientists
 
 
 </li>
 </ul>
 
 Requirement 2: Data Scientist &ndash; Credit Risk
 
 
 
 
 
 Preferred Qualifications
 
 
 
 
 <ul>
 <li>
 2 or more years of work experience in creating ML models for Retail Credit Risk
 </li>
 <li>
 Bachelor&rsquo;s degree in Engineering or a related field
 </li>
 <li>
 Advanced proficiency in SQL and Python is a must
 </li>
 <li>
 Strong understanding of Credit Risk concepts &ndash; Credit Bureau data, default rates, roll rates, vintage analysis, etc.
 </li>
 <li>
 Experience in Model Validation and Monitoring using metrics such as AUC, GINI, KS, PSI, and Drift
 </li>
 <li>
 Must have deployed ML models into production (batch or streaming)
 </li>
 <li>
 Strong analytical and problem-solving skills with proven ability to manage multiple priorities
 </li>
 <li>
 Excellent communication and presentation skills
 </li>
 <li>
 Experience in LLMs and Deep Learning models will be an added advantage
 
 
 </li>
 </ul>
 
 
 Roles And Responsibilities
 
 
 
 
 <ul>
 <li>
 End-to-end ownership of ML model development and implementation for credit risk assessment, including design, validation, deployment, and post-deployment monitoring
 </li>
 <li>
 Work with Non-Bureau and Alternate Data to build robust credit risk models
 </li>
 <li>
 Collaborate with Risk, Tech, and Collections teams to embed model insights in decision-making
 </li>
 <li>
 Design statistical and ML-based solutions to optimize credit strategies and risk evaluation
 </li>
 <li>
 Build automated data pipelines and tools for model deployment and monitoring
 </li>
 <li>
 Mentor junior analysts in data science practices
 
 
 </li>
 </ul>
 
 
 What You Can Expect
 
 
 
 
 <ul>
 <li>
 A culture that encourages openness, innovation, and continuous learning
 </li>
 <li>
 Opportunity to make a meaningful impact by enabling data-driven decision-making across business functions
 </li>
 <li>
 The chance to uplift millions of people by contributing to financial inclusion
 </li>
 <li>
 Exposure to advanced ML, LLM, and data infrastructure frameworks in a fast-scaling fintech environment
 </li>
 </ul>
</div>

<div>
 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
 
 
 We are currently seeking a Front End Developer (React) to join our team in Bangalore, Karn&amacr;taka (IN-KA), India (IN).
 
 
 
 Job Description:
 
 
 
 We are looking for a passionate Front-End Developer with strong experience in
 
 React
 
 to build modern, high-performance web applications.
 
 
 You will work on developing user interfaces, collaborating with backend teams, and improving the user experience from design through implementation and maintenance.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, and maintain web applications using React
 </li>
 <li>
 Implement responsive and user-friendly UI components
 </li>
 <li>
 Integrate with APIs (RESTful, GraphQL)
 </li>
 <li>
 Optimize application performance and improve code quality
 </li>
 <li>
 Collaborate with cross-functional teams in an Agile/Scrum environment
 </li>
 <li>
 Write unit tests and end-to-end tests to ensure code reliability
 </li>
 <li>
 Create and maintain technical documentation
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience:
 
 
 
 <ul>
 <li>
 2+ years of hands-on Front-End development experience
 </li>
 <li>
 Strong experience with React (Functional Components, Hooks, etc.)
 </li>
 <li>
 Proficient in JavaScript (ES6+)
 </li>
 <li>
 Solid knowledge of HTML5 and CSS3
 </li>
 <li>
 Experience using version control systems (Git)
 </li>
 <li>
 API integration experience (REST, GraphQL)
 </li>
 <li>
 Experience with modern front-end build tools (Webpack, Babel, etc.)
 </li>
 <li>
 Experience working in a team environment
 
 
 </li>
 </ul>
 
 Preferred Skills:
 
 
 
 <ul>
 <li>
 State management libraries (Redux, Context API, etc.)
 </li>
 <li>
 Experience with testing frameworks (Jest, React Testing Library, etc.)
 </li>
 <li>
 Knowledge of performance optimization techniques
 </li>
 <li>
 Familiarity with UI design tools (Figma, Sketch, etc.)
 
 
 </li>
 </ul>
 
 Personal Attributes:
 
 
 
 <ul>
 <li>
 Proactive, with strong problem-solving skills
 </li>
 <li>
 Good communication and teamwork abilities
 </li>
 <li>
 User-focused mindset and attention to detail
 
 
 </li>
 </ul>
 
 About NTT DATA
 
 
 
 NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
 
 
 Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client&rsquo;s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
 
 
 
 
 NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us.
 
 
 
 
 This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
 
 
</div>

Front End Developer (React)

Adobe

<div>
 
 Our Company
 
 
 
 Changing the world through digital experiences is what Adobe&rsquo;s all about. We give everyone&mdash;from emerging artists to global brands&mdash;everything they need to design and deliver exceptional digital experiences! We&rsquo;re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
 
 
 We&rsquo;re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
 
 
 Computer Scientist I &ndash; Adobe Experience Platform
 
 
 Our Company
 
 
 At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. Adobe is listed as Fortune&rsquo;s &ldquo;100 Best Companies to Work For&rdquo; for 20 consecutive years. You will also be surrounded by colleagues who are committed to helping each other grow. If you&rsquo;re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
 
 
 Changing the world through digital experiences is what Adobe&rsquo;s all about. We give global brands everything they need to design and deliver exceptional digital experiences. We&rsquo;re passionate about redefining how companies interact with customers across every screen.
 
 
 We&rsquo;re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours.
 
 
 The Opportunity
 
 
 Adobe is redefining customer intelligence. We help enterprises understand their customers deeply&mdash;what they value, what they need&mdash;and translate that understanding into meaningful, personalized experiences.
 
 
 The
 
 Adobe Experience Platform (AEP)
 
 is at the heart of this mission, powering data integration, governance, advanced analytics, and intelligent services at global scale. Our next chapter focuses on
 
 agent-driven AI systems
 
 &mdash;autonomous, adaptive agents that orchestrate complex workflows, learn from data, and deliver real-time insights and actions.
 
 
 At the core lies our
 
 Enterprise Knowledge Base
 
 , a foundational platform that unifies structured, unstructured, and semi-structured data. This system fuels advanced AI and Generative AI applications across Adobe&rsquo;s digital marketing ecosystem&mdash;empowering customers to unlock richer, more intelligent experiences.
 
 
 We are looking for someone who thrives on solving hard problems, scaling intelligent systems, and creating measurable impact. You&rsquo;ll lead the design and development of low-latency, high-throughput services that power intelligent enterprise experiences across millions of users worldwide.
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Lead the technical design and implementation strategy for major systems and components of AEP Knowledge Base and the Agentic ecosystem.
 </li>
 <li>
 Strong background in distributed storage (Delta Lake, Iceberg), compute (Spark), data warehousing (Snowflake, BigQuery, Redshift) and cloud services (Azure, AWS, GCP).
 </li>
 <li>
 Knowledge of Vector Stores (FAISS, Pinecone, Weaviate, Milvus).
 </li>
 <li>
 Optimize for quality of data, low latency, high reliability and scalability across enterprise environments.
 </li>
 <li>
 Establish best practices for evaluation, safety, and guardrails for system behavior.
 </li>
 <li>
 Collaborate with research and product teams to integrate modern capabilities into the Platform.
 </li>
 <li>
 Mentor engineers and drive technical excellence in building production-grade systems.
 
 
 </li>
 </ul>
 What you will need to succeed
 
 
 <ul>
 <li>
 5+ years in design and development of large scale data intensive distributed systems.
 </li>
 <li>
 In depth work experience on technologies like Apache Spark, Delta Lake, Snowflake, Kubernetes, etc.
 </li>
 <li>
 Hands-on experience with public cloud platforms (Azure, AWS, or GCP).
 </li>
 <li>
 Strong background in relational databases (PostgreSQL, MySQL).
 </li>
 <li>
 Proficiency in Java, Scala, or Python, and a deep understanding of algorithms and data structures.
 </li>
 <li>
 A strong sense of ownership and cost-conscious design for compute and memory efficiency.
 </li>
 <li>
 Excellent communication skills and the ability to collaborate effectively with multi-functional teams.
 </li>
 <li>
 Bachelor&rsquo;s, Master&rsquo;s, or PhD in Computer Science or a related technical field with equivalent experience.
 
 
 </li>
 </ul>
 Why Adobe
 
 
 At Adobe, you&rsquo;ll work in a culture that values creativity, collaboration, and continuous learning. Our
 
 Check-In
 
 approach fosters open feedback, career growth, and shared success.
 
 
 If you&rsquo;re ready to shape the future of AI-powered customer experiences and make a global impact&mdash;
 
 Adobe is the place for you.
 
 
 
 Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
 
 
 Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.
</div>

Computer Scientist-I

EPAM Systems

<div>
 
 We are looking for a
 
 Lead Data Scientist
 
 to join our collaborative team. You will play a key role in developing and implementing AI solutions across various applications, from statistical analysis to natural language processing. If you are passionate about leveraging data to create impactful solutions, we encourage you to apply.
 
 
 &nbsp;
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Develop and implement AI solutions including classification, clustering, and anomaly detection
 </li>
 <li>
 Conduct statistical data analysis and apply machine learning techniques
 </li>
 <li>
 Manage complete project delivery from data preparation to model evaluation
 </li>
 <li>
 Utilize Python programming and SQL for data manipulation and analysis
 </li>
 <li>
 Engage in ML Ops and model development workflows
 </li>
 <li>
 Create models that are accessible for business use
 </li>
 <li>
 Collaborate with teams using software development methodologies and version control
 </li>
 <li>
 Document processes and maintain project tracking tools such as Jira
 </li>
 <li>
 Stay updated with new technologies and apply problem-solving skills effectively
 </li>
 <li>
 Deliver production-ready solutions and facilitate knowledge sharing
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Requirements
 
 
 <ul>
 <li>
 9+ years&nbsp;of experience in software engineering, specializing in Data Science
 </li>
 <li>
 At least 1 year of relevant leadership experience
 </li>
 <li>
 Proficiency in statistical data analysis, machine learning, and NLP, with a clear understanding of practical applications and limitations
 </li>
 <li>
 Experience in developing and implementing AI solutions, including classification, clustering, anomaly detection, and NLP
 </li>
 <li>
 Expertise in complete project delivery, from data preparation to model building, evaluation, and visualization
 </li>
 <li>
 Proficiency in Python programming and SQL, with experience in production-level code and data analysis libraries
 </li>
 <li>
 Familiarity with ML Ops, model development workflows, and feature engineering techniques
 </li>
 <li>
 Capability in manipulating data and developing models accessible for business use, with experience in Azure AI Search
 </li>
 <li>
 Competence in software development methodologies, code versioning (e.g., GitLab), and project tracking tools (e.g., Jira)
 </li>
 <li>
 Enthusiasm for learning new technologies, with expertise in problem-solving and delivering production-ready solutions
 </li>
 <li>
 Fluency in UNIX command line
 </li>
 <li>
 Familiarity with Agile development practices
 </li>
 <li>
 Excellent communication skills in English, with a minimum proficiency level of B2+
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Nice to have
 
 
 <ul>
 <li>
 Knowledge of Cloud Computing
 </li>
 <li>
 Experience with Big Data tools
 </li>
 <li>
 Familiarity with visualization tools
 </li>
 <li>
 Proficiency in containerization tools
 </li>
 </ul>
</div>

Lead Data Scientist

Explore 62+ Data scientist artificial intelligence in Bangalore this November. Find roles across top companies and apply now to boost your career.

62 data scientist artificial intelligence jobs IN Bangalore

Data Scientist-Artificial Intelligence

Data Science Business Sr. Consultant (BY/o9)

Data Scientist

Data Scientist

Front End Developer (React)

Computer Scientist-I

Lead Data Scientist