data analyst Jobs in Bangalore Jobs In Mangaluru India

data analyst

data scientist Jobs in Bangalore Jobs In Mangaluru India

data scientist

(ind) staff, data scientist Jobs in Bangalore Jobs In Mangaluru India

(ind) staff, data scientist

ai safety data scientist Jobs in Bangalore Jobs In Mangaluru India

ai safety data scientist

associate manager ii - hr systems & analytics Jobs in Bangalore Jobs In Mangaluru India

associate manager ii - hr systems & analytics

sr staff data scientist marketing

Databricks

<div>
 MKTQ326R8
 
 
 At Databricks our mission is to democratize data and AI. We are passionate about enabling data teams to solve the world's toughest problems &mdash; from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world&rsquo;s best data and AI infrastructure and making it accessible for companies of any size to easily self-serve the platform capabilities to derive data insights and accelerate decision making.
 
 
 In this role, you&rsquo;ll help scale our marketing impact by building data-driven insights and predictive models that shape messaging, channel strategy, and customer engagement across the funnel. You'll partner closely with Marketing, Product, Sales, and Engineering to deliver measurement frameworks that drive real-time optimization and long-term growth.
 
 
 
 Outcomes You Will Drive
 
 
 
 <ul>
 <li>
 Attribution &amp; ROI Modeling: Design and manage Multi-Touch Attribution (MTA) and Marketing Mix Models (MMM) to quantify the impact of marketing across the buyer journey.
 </li>
 <li>
 Causal Inference &amp; Marketing Lift: Apply techniques like propensity score matching and double robust regression to isolate marketing&rsquo;s incremental impact.
 </li>
 <li>
 Experimentation: Partner with teams to design and analyze A/B tests and incrementality studies that optimize campaign performance.
 </li>
 <li>
 Segmentation &amp; Personalization: Develop audience clusters using first- and third-party data to improve targeting, message relevance, and conversion.
 </li>
 <li>
 Funnel Enablement: Build lead prioritization models and scoring systems to improve sales velocity and conversion.
 </li>
 <li>
 Insight Generation: Translate complex data into clear insights and executive narratives that influence strategy and drive decision-making.
 </li>
 <li>
 Campaign Optimization: Use ML and regression models to improve targeting, spend allocation, and segmentation at scale.
 </li>
 <li>
 Buyer Journey Analytics: Map full-funnel journeys across direct and partner-led paths to identify drop-off points and optimize nurture.
 </li>
 <li>
 Education &amp; Enablement: Build playbooks, dashboards, and training to operationalize analytics and empower stakeholders.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Marketing Analytics, or a related discipline)
 </li>
 <li>
 7+ years of experience in marketing analytics, marketing data science, or business intelligence, ideally in B2B SaaS or marketplace environments
 </li>
 <li>
 Proven experience with B2B marketing funnels, campaign KPIs (e.g., conversion rates, CAC, ROI), and performance measurement
 </li>
 <li>
 Proficiency in Python (or R) with libraries like pandas, NumPy, scikit-learn, or statsmodels for data analysis and modeling
 </li>
 <li>
 Strong grasp of causal inference methods and experience applying them in real-world marketing use cases
 </li>
 <li>
 Experience with experimentation platforms, A/B testing frameworks, and interpreting results at scale
 </li>
 <li>
 Skilled at relationship building, communications, and project management to drive strategic alignment and execution across stakeholders at all levels.
 
 
 </li>
 </ul>
 
 About Databricks
 
 
 
 Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
 
 
 
 Benefits
 
 
 
 At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
 
 
 
 Our Commitment to Diversity and Inclusion
 
 
 
 At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
 
 
 
 Compliance
 
 
 
 
 If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
 
</div>

Sr. Staff Data Scientist - Marketing

Data Scientist, Product Analytics

Valiance Solutions

<div>
 
 
 About Us:
 
 
 
 At Valiance, we empower businesses with AI-driven insights and data analytics solutions. Specializing in demand forecasting within retail Industry very specific to
 
 Apparel and Footwear
 
 domains, we leverage standardized ML models to deliver accurate forecasting outcomes to our clients. We are looking for a skilled Data Scientist who can interpret and improve these models to drive real-world business results.
 
 
 
 
 
 
 Role Overview:
 
 
 
 The Data Scientist will be responsible for applying our pre-trained demand forecasting models to generate actionable insights and highly accurate forecasting outcomes. This role involves thorough data analysis, identifying trends and anomalies, interpreting results, and communicating findings effectively to a non-technical business audience. The ideal candidate is less focused on creating algorithms and more oriented towards solving business challenges and providing insights that make a tangible impact.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 
 Data Analysis:
 
 Conduct in-depth data analysis to identify trends, patterns, and anomalies in demand/Timeseries forecasting for Retail Industry very specific to Apparel and Footwear (must have)
 </li>
 <li>
 
 Model Utilization:
 
 Leverage existing pre-trained forecasting models, optimizing their performance by incorporating a nuanced understanding of data points and improving model outcomes based on data insights.
 </li>
 <li>
 
 Interpretation &amp; Communication:
 
 Interpret model results and explain outcomes in simple, actionable terms for business stakeholders, ensuring clarity and relevance.
 </li>
 <li>
 
 Insights Generation:
 
 Develop insights that guide business decisions, aiming for highly accurate forecasting outcomes to meet business requirements.
 </li>
 <li>
 
 Collaboration:
 
 Work closely with cross-functional teams, including business stakeholders and analysts, to ensure forecasting outputs align with business objectives and provide real-world value.
 </li>
 <li>
 
 Continuous Improvement:
 
 Identify opportunities to improve model performance through better data usage and fine-tuning, rather than new model development.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications:
 
 
 <ul>
 <li>
 
 Experience:
 
 
 3-6 years of experience
 
 in data science or a related field, specifically in
 
 Demand/Timeseries forecasting for Retail Industry very specific to Apparel and Footwear (must have)
 
 </li>
 <li>
 
 Technical Proficiency:
 
 Strong skills in data analysis, data visualization, and working with pre-trained ML models. Proficiency in Python, and SQL is preferred.
 </li>
 <li>
 
 Business Focus:
 
 Strong orientation towards solving business problems rather than a pure focus on machine learning algorithms.
 </li>
 <li>
 
 Communication Skills:
 
 Ability to clearly communicate insights and forecast results to non-technical stakeholders in simple, understandable language.
 </li>
 <li>
 
 Problem Solving:
 
 Demonstrated ability to interpret data, uncover actionable insights, and suggest practical solutions for business needs.
 </li>
 <li>
 
 Detail-Oriented:
 
 Thorough attention to detail, ensuring accuracy in forecasting and relevance of insights.
 </li>
 <li>
 
 Educational Background:
 
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Computer Science, or a related field.
 </li>
 </ul>
 
 
</div>

Data Scientist

UsefulBI Corporation

<div>
 
 Job Title: Gen AI Developer
 
 
 Location: Bangalore / Lucknow
 
 
 Role Type: Full-time, Senior level
 
 
 Company&rsquo;s website: https://usefulbi.com
 
 
 LinkedIn link: UBI LinkedIn
 
 
 
 
 
 About UsefulBI:
 
 
 UsefulBI is a leading AI-driven data solutions provider specialising in data engineering, cloud transformations, and AI-powered analytics for Fortune 500 companies. We help businesses turn complex data into actionable insights through our innovative products and services.
 
 
 
 
 
 Role Overview:
 
 
 We are seeking a Senior Data Scientist / Gen AI Developer who is passionate about transforming raw data into intelligent business insights and building AI models that solve real-world problems. In this role, you&rsquo;ll work across the entire data science lifecycle&mdash;from exploratory analysis and statistical modeling to deploying advanced LLM-based and Generative AI solutions.
 
 
 
 
 
 You will be at the forefront of building AI-powered products across domains like healthcare, life sciences, finance, and enterprise analytics, with a focus on real-world impact and scalable architecture.
 
 
 
 
 
 Key Responsibilities:
 
 
 &bull; Develop and deploy applications using Large Language Models (LLMs) like GPT-4, Claude, LLaMA, and Gemini.
 
 
 &bull; Build GenAI-powered tools such as AI report generators, contextual chatbots, summarization engines, and semantic search applications.
 
 
 &bull; Design, optimize, and evaluate prompts tailored for various use cases and user personas.
 
 
 &bull; Implement and enhance Retrieval-Augmented Generation (RAG) workflows for improved relevance and accuracy.
 
 
 &bull; Fine-tune and customize foundation models using techniques like LoRA, PEFT, and prompt-tuning.
 
 
 &bull; Evaluate and monitor model performance on accuracy, latency, and business-specific KPIs.
 
 
 &bull; Apply NLP techniques such as entity recognition, topic modeling, summarization, sentiment analysis, and question answering.
 
 
 &bull; Work with libraries and frameworks such as Hugging Face Transformers, Lang Chain, spaCy, and NLTK.
 
 
 &bull; Deploy GenAI applications using cloud platforms like AWS Bedrock/SageMaker, GCP Vertex AI, or Azure OpenAI.
 
 
 &bull; Build scalable and secure inference pipelines integrated with backend systems and APIs.
 
 
 &bull; Use tools like MLflow and Docker for model lifecycle management and MLOps best practices.
 
 
 &bull; Collaborate with cross-functional teams including product managers, data engineers, and designers to align AI outputs with business needs.
 
 
 &bull; Continuously experiment with new GenAI models, tools, and research to keep the solutions cutting-edge.
 
 
 
 
 
 Required Skills and Qualifications:
 
 
 &bull; 7+ years of experience as a Data Scientist with good experience in Generative AI or LLM-based applications.
 
 
 &bull; Strong expertise in Python and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch.
 
 
 &bull; Experience in end-to-end ML lifecycle including model development, validation, and deployment. &bull; Solid understanding of statistics, probability, and data modeling.
 
 
 &bull; Experience with NLP libraries (NLTK, spaCy, Hugging Face Transformers).
 
 
 &bull; Hands-on experience with GenAI tools: OpenAI APIs, LangChain, RAG, LLM fine-tuning.
 
 
 &bull; Experience with SQL and at least one NoSQL database.
 
 
 &bull; Familiarity with cloud platforms (AWS, GCP, Azure) and version control (Git).
 
 
 &bull; Strong communication skills with the ability to explain complex models to non-technical audiences.
 
 
 
</div>

Data Scientist(Gen AI , Databricks)

HSBC

<div>
 
 Some Careers Have More Impact Than Others.
 
 
 
 If you&rsquo;re looking for a career where you can make a real impression, join HSBC and discover how valued you&rsquo;ll be.
 
 
 HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.
 
 
 We are currently seeking an experienced professional to join our team in the role of
 
 Machine Learning Data Scientist
 
 
 
 
 Business: Global Banking &amp; Markets
 
 
 
 
 Principal Responsibilities
 
 
 
 <ul>
 <li>
 The Role Holder will be responsible for leading the data science activities within the project, working with business analysts, data scientists and developers:
 </li>
 <li>
 Reviewing the proof of concept, current state and opportunities to utilise AI/ML in the Trade and Transaction Reporting Controls area.
 </li>
 <li>
 Proposing appropriate AI/ML models and techniques that will best fit with the data domains, volumes, available tools and business priorities.
 </li>
 <li>
 Using a range of AI/ML techniques and programming languages to transform data, analyse data and identify potential data quality issues.
 </li>
 <li>
 Building scalable machine learning pipelines and using feature engineering and optimisation methods to improve data set performance.
 </li>
 <li>
 Working with technology to integrate and separate data feeds to map, produce, transform and test new machine learning pipelines.
 </li>
 <li>
 Work with Business Partners to clarify problems/opportunities and propose solutions underpinned by strong data analysis of underlying controls and processes
 </li>
 <li>
 To understand and operate within HSBC&rsquo;s AI/ML governance and procedures
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Relevant Bachelor's or equivalent University degree in AI/Machine Learning.
 </li>
 <li>
 Evidence of a successful track record of leading delivery of AI/ML solutions within Markets/Investment Banks.
 </li>
 <li>
 Strong data scientist with experience in anomaly detection techniques, particularly in the trade data domain.
 </li>
 <li>
 Awareness of a broad range of ML techniques.
 </li>
 <li>
 Google Vertex an advantage.
 </li>
 <li>
 Good overall understanding of Primary Trading systems, trading products and front to back trade lifecycle flows.
 </li>
 <li>
 Demonstrated experience working with SMEs and key stakeholders to support understanding of the problem/data.
 </li>
 <li>
 Be capable of communicating complex data science/AI/ML techniques and processes to business users and SMEs
 </li>
 <li>
 Drive and resilience as must be comfortable working in rapidly changing and ambiguous situations.
 </li>
 <li>
 Hands on ability to perform data analysis to drive business insights and decision making.
 </li>
 <li>
 Proactive and willing to use own initiative to resolve issues.
 </li>
 <li>
 Excellent communication and interpersonal skills.
 </li>
 <li>
 Structured and methodical in planning their own book of work, delivery of artefacts, managing multiple competing priorities and setting expectations with stakeholders.
 
 
 </li>
 </ul>
 
 You&rsquo;ll achieve more at HSBC
 
 
 
 HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.&rdquo;
 
 
 Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.
 
 
 <ul>
 <li>
 Issued By HSBC Electronic Data Processing (India) Private LTD***
 </li>
 </ul>
</div>

Machine Learning Data Scientist (Blr)

AuxoAI

<div>
 
 
 About Auxo AI
 
 
 
 
 Auxo AI is a fast-growing SaS (Service as a Software) company that empowers businesses to harness the power of artificial intelligence for automation, analytics, and smarter decision-making. Our mission is to help organizations accelerate growth by delivering intelligent, scalable, and customer-centric AI solutions leveraging our AI Orchestration platform - Damia.
 
 
 
 
 
 
 
 Role Overview
 
 
 
 
 AuxoAI is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems &mdash; including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.&nbsp;
 
 
 
 
 
 
 
 Location
 
 
 :
 
 
 &nbsp;&nbsp;Mumbai/Bengaluru/Hyderabad/ Gurgaon (Hybrid)&nbsp;&ZeroWidthSpace;
 
 
 
 
 
 
 
 Responsibilities
 
 
 :
 
 
 &nbsp;
 
 
 
 
 
 <ul>
 <li>
 
 Own the full ML lifecycle: model design, training, evaluation, deployment&nbsp;
 
 </li>
 <li>
 
 Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection&nbsp;
 
 </li>
 <li>
 
 Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines&nbsp;
 
 </li>
 <li>
 
 Build agentic workflows for reasoning, planning, and decision-making&nbsp;
 
 </li>
 <li>
 
 Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark&nbsp;
 
 </li>
 <li>
 
 Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines&nbsp;
 
 </li>
 <li>
 
 Collaborate with product and engineering teams to integrate AI models into business applications&nbsp;
 
 </li>
 <li>
 
 Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices&nbsp;
 
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 :&nbsp;
 
 
 <ul>
 <li>
 
 5+ years of experience in designing, deploying, and scaling ML/DL systems in production&nbsp;
 
 </li>
 <li>
 
 Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX&nbsp;
 
 </li>
 <li>
 
 Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines&nbsp;
 
 </li>
 <li>
 
 Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration)&nbsp;
 
 </li>
 <li>
 
 Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows&nbsp;
 
 </li>
 <li>
 
 Strong software engineering background with experience in testing, version control, and APIs&nbsp;
 
 </li>
 <li>
 
 Proven ability to balance innovation with scalable deployment&nbsp;
 
 </li>
 <li>
 
 B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field&nbsp;
 
 </li>
 <li>
 
 Bonus: Open-source contributions, GenAI research, or applied systems at scale&nbsp;
 
 </li>
 </ul>
 
 
 
 
 
 Why Join AuxoAI?
 
 
 <ul>
 <li>
 
 Be part of a mission-driven company transforming how businesses use AI.
 
 </li>
 <li>
 
 Opportunity to shape marketing from the ground up at a fast-scaling SaS company.
 
 </li>
 <li>
 
 Collaborative, innovative, and growth-oriented culture.
 
 </li>
 <li>
 
 Competitive compensation, benefits, and equity.
 
 </li>
 </ul>
 
 
 
</div>

Senior Data Scientist - AI/ML

Flipkart

<div>
 
 
 
 Research Manager &ndash; Machine Learning (RESEARCH SCIENCES)
 
 
 
 
 
 
 
 
 About Data Sciences Group at Flipkart:
 
 
 
 The Data Sciences team at Flipkart is on a mission to build systemic intelligence across Flipkart products and the overarching ecosystem. Being India&rsquo;s largest online marketplace and the most used e-commerce app in India, places Flipkart in a unique vantage position and gives this team a distinctive opportunity &mdash; to decipher the richest possible data about Indian consumers. Add the dimension of a vast product selection and a proliferating seller base to that and what you get is a multitude of disruptive possibilities.
 
 
 In a nutshell, the terabytes of daily data compounded in Flipkart&rsquo;s data centers offer a dynamic mix of numerical, structured, unstructured, image- and audio-based statistics, all set to define shopping in the future.
 
 
 
 
 
 
 What this job entails:
 
 
 
 As a leader in the space of Data Science, you will lead a team of highly qualified professionals, within the context of a functional unit, with expertise in areas of Machine Learning &amp; Artificial Intelligence. Your team will comprise of Data Scientists. Your primary responsibility will be to strategize and guide the application of data sciences, and leverage data capabilities to drive Flipkart&rsquo;s Business Value Proposition. In simpler terms, you will help build intelligence across Flipkart products. In this role, you will:
 
 <ul>
 <li>
 Closely work with the Data Science team to formulate data-led solutions and models
 </li>
 <li>
 Use advanced Machine Learning techniques to enable key business goals
 </li>
 <li>
 Be a strong proponent of the customer and the business, with the capability to drive efficiency and productivity, and enable automation across the spectrum
 </li>
 <li>
 Should have thorough understanding of key AI and ML techniques &mdash; If not all &mdash; spanning Predictive Modelling, NLP, Text Mining, Classification, Regression, Deep Learning, etc.
 </li>
 </ul>
 
 
 
 
 
 Key Roles &amp; Responsibilities:
 
 
 
 The Flipkart Data Science team applies capabilities across numerous business problem statements within the e-commerce ecosystem. The application extends across Customer Experience, Supply-Chain, Engineering, Cataloguing and other critical scenarios, with solutions designed around discovery, personalization, intent modelling, demand shaping and planning, insights, sentiment prediction, response matching, fulfilment automation, last-mile optimization, fraud modelling and search&mdash;all of which just form the tip of the iceberg. In this role, you will be responsible to:
 
 <ul>
 <li>
 Help the Data Science team of the functional unit to formulate and architect future AI / ML models for Flipkart Products
 </li>
 <li>
 Guide teams through decisions around applying Data Science and Data Modelling techniques to drive innovation, efficiency productivity and automation within Flipkart&rsquo;s ecosystem
 </li>
 <li>
 Ensure timely deployment of models in a high-pace business, large-scale production environment
 </li>
 <li>
 Coach the Data Science team on various challenges and trade-offs in developing models that can accurately employ real data
 </li>
 <li>
 Build deep partnerships with business, product management, and technology leaders
 </li>
 <li>
 Lead, hire, manage and mentor a team of highly qualified Data Scientist, Data Engineers, Software Engineers ML and Research Scientists
 </li>
 <li>
 Help develop systems-driven framework for tracking the quality, consistency, applicability and performance of data inputs and outcomes
 </li>
 <li>
 Build and leverage tools that allow for democratization and easy consumption and analysis of data across the organization.
 </li>
 </ul>
 
 
 
 
 
 Our Associations &amp; Collaborations:
 
 
 
 Associations and collaborations: The Flipkart Data Science team is also leveraging partnerships with Indian and foreign universities &mdash; like CMU, IIT's, IISc and IIIT&rsquo;s &mdash; for developing class-leading solutions in the e-commerce sector.
 
 
 At Flipkart, the work of a Data Scientist involves collaboration with the engineering and product teams to ensure a holistic outcome at the product delivery. The flat functional structure within Flipkart engineering enables data scientists to focus on excellence and create a deep sense of ownership at every stage of work.
 
 
 
 
 
 
 Basic Qualification:
 
 
 
 Education Qualification: B.Tech / M.Tech in CS/ML/AI Statistics with demonstrable experience through publications / deployed solutions / projects.
 
 
 Should have formally managed small/large teams of DS, data Engineers with DS capabilities for at least 2-4 Yrs.
 
 
 Strong technical skills in machine learning/AI, including optimization, simulation, regression techniques, neural networks, decision trees, cluster analysis, pattern recognition, probability theory, stochastic systems, Bayesian inference, and statistical techniques.
 
 
 
</div>

Data Science Manager

Explore 366+ Sr staff data scientist marketing in Bangalore Jobs In Mangaluru India this November. Find roles across top companies and apply now to boost your career.