data engineer (pyspark) Jobs in Bangalore

data engineer (pyspark)

data scientist project manager Jobs in Bangalore

data scientist project manager

data scientist-advanced analytics Jobs in Bangalore

data scientist-advanced analytics

data scientist-artificial intelligence Jobs in Bangalore

data scientist-artificial intelligence

data strategy consultant Jobs in Bangalore

data strategy consultant

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>

Data Scientist

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>

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>

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

<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>
 As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.
 </li>
 <li>
 Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.
 </li>
 <li>
 In this role, your responsibilities may include:
 </li>
 <li>
 Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques
 </li>
 <li>
 Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements
 </li>
 <li>
 Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours.
 </li>
 <li>
 Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
 </li>
 <li>
 Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another
 </li>
 <li>
 Document solution architectures, design decisions, implementation details, and lessons learned.
 </li>
 <li>
 Stay up to date with the latest trends and advancements in AI, foundation models, and large language models.
 </li>
 <li>
 Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Experience and working knowledge in COBOL &amp; JAVA would be preferred
 </li>
 <li>
 Having experience in Code generation, code matching &amp; code translation leveraging LLM capabilities would be a Big plus
 </li>
 <li>
 Demonstrate a growth mindset to understand clients' business processes and challenges
 </li>
 </ul>
</div>

Data Scientist-Advanced Analytics

<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

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

Explore 63+ Data scientist in Bangalore this November. Find roles across top companies and apply now to boost your career.

63 data scientist jobs IN Bangalore

Data Scientist

Data Scientist

Data Scientist

Lead Data Scientist

Data Scientist-Advanced Analytics

Data Scientist-Artificial Intelligence

Data Scientist Project Manager