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data scientist project manager

Saft

<div>
 <ul>
 <li>
 Conduct exploratory research on data and/or technologies related to business use cases.
 </li>
 <li>
 Develop AI application proof of concepts for evaluation purposes.
 </li>
 <li>
 Write comprehensive functional and technical specifications for projects, in collaboration with Business and IT teams.
 </li>
 <li>
 Support the industrialization of solutions up to production delivery.
 </li>
 <li>
 Ensure the operational maintenance of models (directly or via an integrator).
 </li>
 <li>
 Challenge various teams, from technical to business.
 </li>
 <li>
 Ensure that projects comply with the Company's architecture rules, cybersecurity principles, and ethical aspects (AI Act ...)
 </li>
 <li>
 Proficiency in Python and AI libraries/frameworks: pandas, scikit-learn, PyTorch or TensorFlow, etc.
 </li>
 <li>
 Proficiency in the Azure environment.
 </li>
 <li>
 Knowledge of MLOps / Git / Docker / Microsoft AI Copilot.
 </li>
 <li>
 Ability to read, understand, and improve existing code.
 </li>
 <li>
 Experience in managing digital and AI projects in agile mode.
 </li>
 <li>
 Experience in API development (FastAPI) and proof of concepts creation.
 </li>
 <li>
 Excellent communication skills.
 </li>
 <li>
 Experience in cross-functional coordination on several simultaneous projects.
 </li>
 <li>
 Autonomy, proactivity, and ability to manage project priorities and risks.
 </li>
 </ul>
 
 
</div>

Data Scientist Project Manager

Straive

<div>
 
 
 About the Role
 
 
 
 Straive is looking for a talented and driven
 
 Consultant / Data Scientist / GenAI Engineer
 
 to join our
 
 Analytics &amp; GenAI delivery team
 
 . In this role, you will work under the guidance of the Senior Project Manager / Engagement Manager to design, develop, and deploy advanced AI/ML and Generative AI solutions for global enterprise clients. You will be part of a high-performing team, collaborating with both onshore and offshore members to build scalable, production-grade AI systems.
 
 
 
 
 
 This role is ideal for candidates from
 
 premier engineering institutes
 
 with
 
 2&ndash;3 years of relevant experience
 
 in Python development, LLM integration, and RAG workflows, along with a passion for solving complex problems in real-world business contexts.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and maintain
 
 Python-based
 
 applications, AI/ML models, and data processing pipelines for GenAI projects.
 </li>
 <li>
 Implement
 
 Large Language Model (LLM)
 
 integrations, including
 
 Retrieval-Augmented Generation (RAG)
 
 pipelines and embedding-based search solutions.
 </li>
 <li>
 Build data ingestion and transformation workflows, working with structured and unstructured datasets.
 </li>
 <li>
 Optimize AI model performance through
 
 prompt engineering
 
 , fine-tuning, and evaluation techniques.
 </li>
 <li>
 Collaborate closely with senior team members to translate business requirements into technical solutions.
 </li>
 <li>
 Integrate AI solutions with
 
 vector databases
 
 (e.g., Cosmos DB, Pinecone, ChromaDB) and API-driven applications.
 </li>
 <li>
 (Optional) Contribute to
 
 cloud-native deployments
 
 and
 
 Azure architecture
 
 &ndash;based solutions, including containerization, CI/CD, and basic MLOps workflows.
 </li>
 <li>
 Document workflows, maintain code repositories, and follow Agile development practices.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 
 2&ndash;3 years
 
 of relevant experience in AI/ML development, preferably in enterprise projects.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field from a
 
 premier engineering institute
 
 .
 </li>
 <li>
 Proficiency in
 
 Python
 
 programming and familiarity with relevant libraries (e.g., LangChain, Hugging Face, Pandas, NumPy).
 </li>
 <li>
 Hands-on experience implementing
 
 RAG pipelines
 
 , embeddings, and vector search solutions.
 </li>
 <li>
 Understanding of
 
 LLM architectures
 
 and integration patterns.
 </li>
 <li>
 Working knowledge of
 
 SQL
 
 and data processing best practices.
 </li>
 <li>
 Basic knowledge of
 
 cloud DevOps concepts
 
 , preferably with
 
 Azure
 
 (AWS/GCP experience is also acceptable).
 </li>
 </ul>
 
 
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Exposure to
 
 agentic AI frameworks
 
 such as LangGraph, Semantic Kernel, or similar.
 </li>
 <li>
 Familiarity with ML model lifecycle management and deployment workflows.
 </li>
 <li>
 Prior experience working with cross-border teams and Agile environments.
 </li>
 </ul>
 
 
</div>

Data Scientist

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

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>

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)

<div>
 
 Introduction
 
 
 
 IBM India since 1992 provides solutions and services spanning all major industries including financial services, healthcare, government, automotive, telecommunications and education, among others. As a trusted partner with wide-ranging service capabilities, IBM helps clients transform and succeed in challenging circumstances. The diversity and breadth of the entire IBM portfolio of research, consulting, solutions, services, systems and software, uniquely distinguishes IBM India from other companies in the industry.
 
 
 Business Unit Introduction
 
 
 IBM Research - India ([1] https://research.ibm.com/labs/india) invites applications for its Internship Program in Computer Science, Mathematical Sciences including AI, Hybrid Cloud and Quantum Computing at its locations in Gurgaon and Bangalore.
 
 
 References
 
 
 Visible links
 
 
 <ul>
 <li>
 https://research.ibm.com/labs/india
 
 
 </li>
 </ul>
 
 Your Role And Responsibilities
 
 
 
 Summer Internship Program is one of the major activities under the University Relation Program. IBM Research India offers Summer Internship to the bright students of leading technical Universities in India. IBM Research India provides industry experience and world class technologies to these students to show their talent. During internship students work on current projects happening in the lab, they solve problems with the help of their mentors. Idea is to give industry experience to the students and look for future employees.
 
 
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Excellent coding skills in Python (including Pandas, NumPy)
 </li>
 <li>
 Strong grasp of Data Structures, Algorithms, Problem Solving
 </li>
 <li>
 Solid foundation in Linear Algebra, Probability, and Statistics
 </li>
 <li>
 Hands-on experience with VS Code, Jupyter Notebooks, Git
 </li>
 <li>
 AI/ML Fundamentals: supervised &amp; unsupervised learning, classification, regression, neural networks, clustering
 </li>
 <li>
 Learning fundamentals and Data Manipulation/Analysis for large datasets
 </li>
 <li>
 Proficiency in AI libraries/frameworks: TensorFlow, PyTorch
 </li>
 <li>
 Experience in Deep Learning, Foundation Models, Large Language Models
 </li>
 <li>
 Familiar with Generative AI frameworks such as langchain and crew.ai
 </li>
 <li>
 Expertise in unstructured data processing
 </li>
 <li>
 Experience working with platforms such as Watsonx.ai or similar
 </li>
 <li>
 Familiarity with risks associated with AI deployments, including agents going rogue
 
 
 </li>
 </ul>
 We are looking for a talented and highly motivated engineer/scientist to contribute to our research and development efforts across multiple frontiers of AI. The candidate will work on creating efficient and scalable large language and foundation models, with a specific focus on enterprise applications. Areas of research include AI for IT automation, intersection of data and AI, agentic middleware and models, embedding and AI-based retrieval, time series foundation models, geospatial and multi-modal foundation models, GenAI security, AI for math and reasoning, and AI for software engineering.
 
 
 Eligibility Criteria
 
 
 <ul>
 <li>
 B.E. / B.Tech
 </li>
 <li>
 M.E. / M.Tech (including Dual Degree programs)
 </li>
 <li>
 Ph.D.
 </li>
 <li>
 Minimum 70% or 7.0 CGPA and above in the pursuing degree
 
 
 </li>
 </ul>
 Time Duration
 
 
 The internship will be conducted between May 2026 to August 2026, for a maximum duration of 3 months.
 
 
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 AI libraries/frameworks such as TensorFlow/PyTorch, Jupyter notebooks, Deep learning fundamentals, Data Manipulation and Analysis for large data, tools (pandas, NumPy), linear algebra, probability, statistics, Git, Containerization (Docker/Kubernetes/ Openshift)
 </li>
 </ul>
</div>

Research Intern - AI

Infosys

<div>
 
 
 Java Full stack Developers
 
 
 
 
 
 <ul>
 <li>
 Full Stack Developers who will be working on complex engineering projects, platforms and marketplaces for our clients using emerging technologies.
 </li>
 <li>
 They will be ahead of the technology curve and will be constantly enabled and trained to be Polyglots.,
 </li>
 <li>
 They are Go-Getters with a drive to solve end customer challenges and will spend most of their time in designing and coding, End to End contribution to technology oriented development projects.,
 </li>
 <li>
 Providing solutions with minimum system requirements and in Agile Mode.,
 </li>
 <li>
 Collaborate with Power Programmers.,
 </li>
 <li>
 Open Source community and Tech User group., Custom Development of new Platforms &amp; Solutions ,Opportunities.,
 </li>
 <li>
 Work on Large Scale Digital Platforms and marketplaces.,
 </li>
 <li>
 Work on Complex Engineering Projects using cloud native architecture .
 </li>
 <li>
 Work with innovative Fortune 500 companies in cutting edge technologies.
 </li>
 <li>
 Co create and develop New Products and Platforms for our clients
 </li>
 <li>
 Contribute to Open Source and continuously upskill in latest technology area
 </li>
 </ul>
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science or related field.
 </li>
 <li>
 8+ years of experience
 </li>
 </ul>
 
 Intrinsic passion for learning and self-development
 
 <ul>
 <li>
 Experience in solving problems and tasks of different complexity
 </li>
 <li>
 Can work as a scientist to experiment/test, validate assumptions and connect the dots to reach a conclusion
 </li>
 <li>
 The ability to develop and mentor the middle developers of the team
 </li>
 </ul>
 
 The understanding of the full scope of the project required that his team is responsible for and can delegate tasks in an effective manner
 
 <ul>
 <li>
 Has the profound view of the project development and suggests the best ways to develop having in mind the final market goal
 </li>
 <li>
 Broad experience designing, programming, and implementing large information systems.
 </li>
 <li>
 Ability to provide in-depth evaluation and analysis of unique complex technological issues.
 </li>
 <li>
 Excellent analytical and problem-solving skills.
 </li>
 <li>
 Excellent organization and time management skills.
 </li>
 <li>
 Excellent written and verbal communication skills.
 </li>
 </ul>
 
 Demonstrated ability to mentor/train others.
 
 <ul>
 <li>
 Ability to exercise discretion and independent judgment in the performance of duties.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Technical Knowledge
 
 
 <ul>
 <li>
 Experience with React.js, Vue.js, JavaScript, HTML &amp; CSS
 </li>
 <li>
 Experience with Java 8 or higher and Java lambdas
 </li>
 <li>
 Experience with test design and unit testing
 </li>
 <li>
 Oracle, PostgreSQL
 </li>
 <li>
 CI/CD with Jenkins pipeline
 </li>
 <li>
 AWS and Terraform
 </li>
 <li>
 InfluxDB, Grafana, Sensu, ELK stack
 </li>
 <li>
 infrastructure as a code, one-click deployment, C4 diagrams
 </li>
 <li>
 Mesos/Marathon, Docker, Kubernetes
 </li>
 <li>
 Amazon Web Services and cloud deployments (S3, SNS, SQS, RDS, DynamoDB, etc.), using tools such as Terraform or AWS CLI
 </li>
 <li>
 Git, Scrum, Pair Programming, Peer Reviewing
 </li>
 <li>
 InfluxDB, Kibana, Grafana, Sensu
 </li>
 <li>
 Knowledge of Jest, Kotlin, AWS, and Terraform is a plus
 </li>
 <li>
 Agile mindset willing to learn all the team duties
 </li>
 <li>
 Team player
 </li>
 <li>
 Able to understand and apply design patterns
 </li>
 </ul>
 
 
 
 
 
 Location- Bangalore/Pune/Hyderabad/Indore/Chandigarh/Delhi NCR/Noida/Kolkata/Bhubaneshwar/Chennai/Mangalore/Coimbatore/Trivandrum/Indore/Nagpur/Mohali/Jaipur
 
 
</div>

Java Architect

Explore 83+ Data scientist project manager in Bangalore this November. Find roles across top companies and apply now to boost your career.

83 data scientist project manager jobs IN Bangalore

Data Scientist Project Manager

Data Scientist

Lead Data Scientist

Data Scientist

Data Science Business Sr. Consultant (BY/o9)

Research Intern - AI

Java Architect