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data scientist project manager Jobs in Bangalore India

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data scientist-artificial intelligence

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data strategy consultant

data analyst

Infosys

<div>
 Healthcare Data analyst ,PL/SQL, SQL, Data mapping, STTM creation, Data profiling, Reports
 
 
 A day in the life of an Infoscion
 
 
 <ul>
 <li>
 As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction.
 </li>
 <li>
 You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain.
 </li>
 <li>
 You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews.
 </li>
 <li>
 You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes.
 </li>
 <li>
 You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!
 </li>
 </ul>
</div>

Healthcare Data Analyst

Digital Green

<div>
 
 
 Job Title: Product Analyst
 
 
 
 
 Department: Product
 
 
 
 
 Location :Bangalore&nbsp;
 
 
 
 
 
 
 
 About Digital Green
 
 
 
 
 
 
 Digital Green
 
 is a pioneer global not for profit organization, utilizing digital platforms and community-driven approaches to amplify the voices of smallholder farmers and improve their livelihoods. Our mission is to create a world where farmers use technology and data to build prosperous communities.&nbsp; By harnessing the power of technology, we facilitate knowledge sharing, capacity building, and market linkages, enabling farmers to adopt sustainable agricultural practices and increase their productivity and income.&nbsp;
 
 
 
 
 
 
 
 We are dedicated to transforming the lives of under-served smallholder farmers worldwide through innovative technology solutions. Backed by leading philanthropic organizations such as the Bill &amp; Melinda Gates Foundation (BMGF), Walmart Foundation, USAID, and UK Foreign, Commonwealth &amp; Development Office (UKFCDO), we are committed to leveraging data and technology to empower smallholder farmers and strengthen agricultural extension systems.
 
 
 
 
 
 
 
 Description
 
 
 
 
 We are actively seeking a highly motivated and data-driven Product Analyst to become an integral part of our rapidly expanding mobile application team. In this pivotal role, you will serve as the analytical backbone of our product organization, responsible for transforming complex data into clear, actionable insights. These insights will directly inform and drive our product strategy, foster intelligent decision-making, and ultimately enhance the user experience across our mobile platforms. You will play a crucial role in understanding user behavior, identifying opportunities for growth, and ensuring our product development efforts are always data-informed and impactful.
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 
 Product Analytics Mastery
 
 
 : Take ownership of the end-to-end data analysis lifecycle for all product features, user behavior patterns, and critical metrics within our mobile application. This includes everything from initial data collection and cleaning to in-depth analysis and the presentation of findings. You will be responsible for understanding how users interact with our app and identifying areas for improvement.
 
 </li>
 <li>
 
 Strategic Partnership &amp; Collaboration
 
 
 : Work in close collaboration with Product Managers, engineers, designers, program teams and other cross-functional teams. Your insights will be essential in shaping the product roadmap, prioritizing features, and making informed decisions that align with business objectives and user needs. You will be a key voice in strategic product discussions.
 
 </li>
 <li>
 
 Experimentation &amp; A/B Testing Expertise
 
 
 : Design, meticulously implement, and thoroughly analyze A/B tests and other experimental frameworks to validate hypotheses and measure the impact of new features or changes. You will be instrumental in establishing robust testing frameworks and best practices across the organization, fostering a culture of continuous learning and data-driven iteration.
 
 </li>
 <li>
 
 Data Infrastructure Management:
 
 
 Oversee and manage ETL (Extract, Transform, Load) processes, ensuring the seamless and accurate flow of data between our various data sources, the data warehouse, and our analytics tools. You will be responsible for maintaining the integrity and reliability of our data pipelines, which are crucial for accurate analysis.
 
 </li>
 <li>
 
 Actionable Insights &amp; Reporting
 
 
 : Develop and maintain comprehensive dashboards, insightful reports, and compelling presentations that effectively communicate complex data findings to stakeholders at all levels of the organization, from individual contributors to executive leadership. Your ability to translate data into clear, actionable recommendations will be paramount.
 
 </li>
 <li>
 
 Metrics Definition &amp; Tracking
 
 
 : Define, track, and consistently monitor key performance indicators (KPIs), critical success metrics, and overall product health indicators. You will establish the benchmarks and frameworks necessary to evaluate product performance and identify trends or anomalies.
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Required Qualifications
 
 
 
 
 
 <ul>
 <li>
 
 Exceptional Technical Skills:
 
 </li>
 </ul>
 <ol>
 <li>
 
 Advanced SQL and BigQuery Proficiency
 
 
 : Demonstrated expertise in writing complex SQL queries and advanced proficiency in BigQuery for large-scale data extraction, manipulation, and analysis.
 
 </li>
 <li>
 
 ETL and Data Warehouse Operations (Good to have)
 
 
 : Hands-on experience managing ETL processes and significant experience working with and maintaining data warehouse operations, ensuring data quality and accessibility.
 
 </li>
 <li>
 
 Strong Data Manipulation &amp; Analysis
 
 
 : Proven ability to manipulate, analyze, and interpret large datasets with a high degree of accuracy and attention to detail, uncovering meaningful patterns and insights.
 
 </li>
 </ol>
 <ul>
 <li>
 
 Qualification
 
 
 : Graduate/Post Graduate degree in data science or any quantitative discipline such as computer science, operational research, economics, business analytics, statistics, quantitative finance
 
 </li>
 <li>
 
 Relevant Experience
 
 
 : 2-4 years of dedicated experience in product analytics, data analysis, or a similar quantitative role, with a strong preference for experience gained within the mobile or technology industry.
 
 </li>
 <li>
 
 Deep Product Mindset
 
 
 : A profound understanding of the entire product development lifecycle, from ideation to launch and post-launch optimization, coupled with a strong user-centric thinking approach to problem-solving.
 
 </li>
 <li>
 
 Proven Experimentation Experience
 
 
 : Demonstrated experience in designing, executing, and rigorously analyzing A/B tests and various experimentation methodologies to drive product improvements and validate hypotheses.
 
 </li>
 <li>
 
 Outstanding Communication Skills
 
 
 : The ability to translate complex technical data and analytical findings into clear, concise, and actionable recommendations for both technical and non-technical audiences, fostering understanding and driving informed decision-making.
 
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 
 
 
 <ul>
 <li>
 
 Mobile Analytics Platform Experience
 
 
 : Direct experience with leading mobile analytics platforms such as Firebase, Amplitude, Mixpanel, or similar tools, leveraging their capabilities to gain deeper insights into mobile user behavior.
 
 </li>
 <li>
 
 Statistical Analysis &amp; Experimentation Methodologies
 
 
 : A solid understanding of statistical analysis principles and various experimentation methodologies, enabling more sophisticated data interpretation and robust test design.
 
 </li>
 <li>
 
 Data Visualization Tool Familiarity
 
 
 : Familiarity with popular data visualization tools like Tableau, Looker, or similar platforms, for creating impactful and easy-to-understand visual representations of data.
 
 </li>
 <li>
 
 Programming for Advanced Analytics
 
 
 : Proficiency in Python or R for performing advanced statistical analysis, predictive modeling, and automating data processing tasks.
 
 </li>
 <li>
 
 Startup Environment Experience
 
 
 : Prior experience working in a fast-paced, high-growth startup environment, demonstrating adaptability, resilience, and the ability to thrive with evolving priorities.
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What You'll Bring
 
 
 
 
 
 <ul>
 <li>
 
 Analytical Rigor &amp; Attention to Detail
 
 
 : An unwavering commitment to analytical rigor, precision, and meticulous attention to detail in all data-related tasks, ensuring the highest quality of insights.
 
 </li>
 <li>
 
 Proactive Problem-Solving Approach
 
 
 : A self-starter mentality with a proactive and inquisitive approach to identifying problems, investigating root causes, and proposing effective, data-driven solutions.
 
 </li>
 <li>
 
 Autonomy &amp; Prioritization
 
 
 : The ability to work effectively independently, manage multiple competing priorities, and deliver high-quality results within established deadlines without constant supervision.
 
 </li>
 <li>
 
 Passion for User Experience
 
 
 : A genuine passion for leveraging data to understand user behavior, identify pain points, and continuously improve the overall user experience and product satisfaction.
 
 </li>
 </ul>
 
 
 
 
 
 Compensation and Application Process:&nbsp;
 
 
 
 
 
 
 
 Digital Green is a great place to work and prides itself on a competitive and comprehensive&nbsp; compensation and benefits package. Digital Green is proud to be an equal opportunity&nbsp; employer. All qualified applicants will receive consideration for employment without regard&nbsp; to race, color, religion, sex, national origin, disability status, protected veteran status, or any&nbsp; other characteristic protected by law. Please send your application along with an updated CV and a cover letter explaining your&nbsp; suitability for the position. All completed applications should be applied&nbsp; through
 
 https://digitalgreen.applytojob.com/apply/5PyeWtdQWb/Product-Analyst
 
 or send your resume to vidya@digitalgreen.org
 
 
 
 
 
 
 
 Join us at Digital Green and leverage your expertise in AI to transform agricultural practices and improve the livelihoods of smallholder farmers worldwide.
 
 
 
 
 
 
 
 
</div>

Product Analyst

<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

<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

<div>
 You have a proven track record in using Workato and other B2B/EDI tools.
 
 
 <ul>
 <li>
 You are a team player and can communicate data structural concepts and ideas to both technical and non-technical stakeholders.
 </li>
 <li>
 You have strong analytical skills and have an affinity with business concepts.
 </li>
 <li>
 Workato certification will be an advantage.
 </li>
 <li>
 Workato project experience will be a big plus.
 </li>
 <li>
 You will be part of an innovative team that drives our Workato initiatives and to dive into business processes to determine root causes, quantify potential, and establish and drive improvement initiatives that make businesses more efficient.
 </li>
 <li>
 You will set up and maintain data models that will be the basis of the analyses and work together closely with the business analysts to generate the customized set of analytics that serve as a single source of truth for business performance measurement as well as data-driven decision making.
 </li>
 <li>
 You are responsible for setting data dictionary and maintaining data governance on the created structure.
 </li>
 <li>
 You identify the best possible strategy for data collection, ensure the data quality and work together with the stakeholders responsible for the data input to ensure we can correctly measure and track all necessary information.
 </li>
 <li>
 Collaborate with source system experts to ensure the source systems are set up correctly to gather all relevant information and support the most effective data structures.
 </li>
 <li>
 Create and maintain comprehensive documentation for data models, processes, and systems to facilitate knowledge sharing.
 </li>
 </ul>
</div>

Workato Consultant

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>

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>

Explore 49+ Data analyst in Bangalore India this November. Find roles across top companies and apply now to boost your career.

49 data analyst jobs IN Bangalore India

Healthcare Data Analyst

Product Analyst

Data Scientist-Artificial Intelligence

Data Scientist

Workato Consultant

Data Scientist

Data Scientist