data scientist

data analyst

business analyst

software engineer

design engineer

data engineer

PwC India

<div>
 
 
 Line of Service
 
 
 
 Advisory
 
 
 
 Industry/Sector
 
 
 
 Not Applicable
 
 
 
 Specialism
 
 
 
 Data, Analytics &amp; AI
 
 
 
 Management Level
 
 
 
 Senior Associate
 
 
 
 Job Description &amp; Summary
 
 
 
 At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
 
 
 In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
 
 
 
 
 
 Responsibilities-
 
 
 
 
 
 Design, develop, and optimize data pipelines and ETL processes on Snowflake Cloud Data Warehouse.
 
 
 
 
 Implement best practices for performance tuning, query optimization, and data modeling in Snowflake.
 
 
 
 
 Manage integrations with various data sources and ensure secure, scalable data flow.
 
 
 
 
 Work with stakeholders to translate business requirements into efficient Snowflake solutions.
 
 
 
 
 Ensure data governance, quality, and compliance within the Snowflake environment.
 
 
 
 
 Experience with SQL, cloud platforms (AWS/Azure/GCP), and BI/reporting tools preferred.
 
 
 
</div>

Data Engineer

Capgemini

<div>
 
 Job Description
 
 
 
 Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.
 
 
 <ul>
 <li>
 Applies scientific methods to analyse and solve software engineering problems.
 </li>
 <li>
 He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.
 </li>
 <li>
 His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.
 </li>
 <li>
 The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.
 </li>
 <li>
 The software engineer collaborates and acts as team player with other software engineers and stakeholders.
 
 
 </li>
 </ul>
 Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.
 
 
 
 Job Description - Grade Specific
 
 
 
 Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.
</div>

Data Scientist Engineer

Deloitte

<div>
 
 
 Customer Strategy &amp; Insights (Data Scientist/Data Engineer)
 
 
 
 
 Location:
 
 Deloitte - Bellandur, Bengaluru (Must)
 
 
 
 Shift:
 
 US/PST Shift
 
 
 
 Experience Level:
 
 3&ndash;9 years
 
 
 
 Notice Period:
 
 Immediate to 30 days only.
 
 
 
 
 
 
 About the Role:
 
 
 
 We are seeking experienced and business-savvy
 
 Data Scientist/Data Engineer
 
 to join our team supporting High-tech clients. You will solve complex problems using advanced analytics, statistical modeling, and machine learning to drive measurable impact.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Perform exploratory data analysis and generate actionable insights.
 </li>
 <li>
 Work on classification, regression, clustering, recommendation, and forecasting models.
 </li>
 <li>
 Translate business needs into analytical frameworks and articulate insights to non-technical stakeholders.
 </li>
 <li>
 Collaborate with cross-functional teams including data engineers, business analysts and product owners.
 </li>
 <li>
 Develop and deploy machine learning models to solve real-world business challenges.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications:
 
 
 <ul>
 <li>
 3&ndash;9 years of hands-on experience in data science.
 </li>
 <li>
 Expertise in
 
 Python/R
 
 and ML libraries (e.g., Scikit-learn, XGBoost, TensorFlow, PyTorch)
 </li>
 <li>
 Proficiency in
 
 SQL
 
 and data wrangling
 </li>
 <li>
 Strong statistical grounding and experience with
 
 A/B testing
 
 , hypothesis testing
 </li>
 <li>
 Cloud platform experience (GCP preferred; AWS/Azure acceptable)
 </li>
 <li>
 Excellent communication, storytelling, and stakeholder engagement skills
 </li>
 <li>
 Consulting background or experience working with global clients is highly valued
 </li>
 <li>
 Good academic pedigree in quantitative disciplines (Math, Stats, CS, Engineering)
 </li>
 </ul>
 
 
 
 
 
 Additional Notes:
 
 
 <ul>
 <li>
 The first project requires working in
 
 US/PST hours
 
 from the
 
 Deloitte-Bellandur office all 5 days a week
 
 .
 </li>
 <li>
 Future projects might align to
 
 standard Indian business hours
 
 .
 </li>
 </ul>
</div>

Data Scientist

LSEG

<div>
 Proud to share LSEG in the India is Great Place to Work certified (Jun &rsquo;25 &ndash; Jun &rsquo;26).
 
 
 Learn more about life and purpose of our company directly from India colleagues&rsquo; video: Bengaluru, India | Where We Work | LSEG
 
 
 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
 
 
 Our purpose is the foundation on which our culture is built. Our values of
 
 Integrity, Partnership
 
 ,
 
 Excellence
 
 and
 
 Change
 
 underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
 
 
 Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
 
 
 A Data Scientist applies analytical, statistical, and computational techniques to collect, clean, analyze, extract insights from data and support data-driven decision-making. This role involves working with large-scale datasets to build models, uncover trends, and collaborate with cross-functional teams to improve digital products and services.
 
 
 <ul>
 <li>
 Supports data science initiatives by applying analytical and technical expertise to solve product and platform-related challenges.
 </li>
 <li>
 Collaborates with sales order management teams, technology teams, and business stakeholders to translate requirements into scalable data science solutions
 </li>
 <li>
 Writes efficient, maintainable production-ready code and partners with technology teams to deploy models and data pipelines into live environments.
 </li>
 <li>
 Develops machine learning models and data-driven solutions that improve system performance, user engagement, or operational efficiency.
 
 
 </li>
 </ul>
 Problem Solving &ndash; Identifies technical and analytical challenges in digital systems, explores multiple approaches, and selects optimal solutions to improve product outcomes.
 
 
 <ul>
 <li>
 Artificial Intelligence Ethics &ndash; Applies ethical principles to ensure fairness, transparency, and accountability in AI-driven features and data usage.
 </li>
 <li>
 Programming &ndash; Develops and maintains code using Python, R, and/or SQL to support data processing, analysis, and model development.
 </li>
 <li>
 Data Analysis &ndash; Analyzes structured and unstructured data to uncover patterns, trends, and insights that inform product and business decisions.
 </li>
 <li>
 Data Wrangling &ndash; Cleans, transforms, and prepares raw data from various sources for analysis and modeling.
 </li>
 <li>
 Statistics &ndash; Applies statistical techniques to validate hypotheses, measure feature impact, and support experimentation.
 </li>
 <li>
 Algorithms &ndash; Implements machine learning algorithms for use in cases such as classification, regression, clustering, or forecasting.
 </li>
 <li>
 Communication &ndash; Translates complex data findings into clear narratives and visualizations using tools like Power BI, tailored to technical and non-technical audiences. Business Understanding &ndash; Aligns data science work with product goals, user needs, and business KPIs to maximize impact.
 </li>
 <li>
 Automation &ndash; Utilizes tools such as Power-BI, Power Automate to streamline data workflows and operational processes.
 </li>
 <li>
 Research &ndash; Explores emerging tools, techniques, and methodologies to enhance the effectiveness and scalability of data science solutions.
 </li>
 <li>
 Metrics Creation &ndash; Designs and monitors performance metrics to evaluate the success of models, features, and business initiatives.
 
 
 </li>
 </ul>
 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
 
 
 Our purpose is the foundation on which our culture is built. Our values of
 
 Integrity, Partnership
 
 ,
 
 Excellence
 
 and
 
 Change
 
 underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
 
 
 Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
 
 
 Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
 
 
 If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
</div>

Xylem

<div>
 Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the world's most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 SQL Database Management:
 
 
 </li>
 </ul>
 Ensure data accuracy, integrity, and security within our SQL databases.
 
 
 Make necessary adjustments based on business requirements.
 
 
 <ul>
 <li>
 Python (Kedro Pipelines) Lead Generation:
 
 
 </li>
 </ul>
 Lead and maintain our Python-based lead generation program (Harvest Growth)
 
 
 Continuously improve and optimize the pipeline.
 
 
 <ul>
 <li>
 Dashboards and Reporting:
 
 
 </li>
 </ul>
 Collaborate with the business to enhance and maintain Power BI dashboards / tools for both Growth and Pricing initiatives.
 
 
 <ul>
 <li>
 Documentation:
 
 
 </li>
 </ul>
 Create necessary documentations and training related to the lead generation program.
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or related field.
 </li>
 <li>
 0-4 years of experience in data analysis, business intelligence, or related roles.
 </li>
 <li>
 Proficiency in SQL Server and Python.
 </li>
 <li>
 Strong sense of urgency and ownership.
 
 
 </li>
 </ul>
 
 Key Skills
 
 
 
 <ul>
 <li>
 SQL Server database management
 </li>
 <li>
 Python
 </li>
 <li>
 Data analysis and visualization
 </li>
 <li>
 Problem-solving and critical thinking
 </li>
 <li>
 Quick learner and collaborator
 
 
 </li>
 </ul>
 
 Good To Have Skills
 
 
 
 Power BI
 
 
 Artificial Intelligence and Machine Learning
 
 
 Join the global Xylem team to be a part of innovative technology solutions transforming water usage, conservation, and re-use. Our products impact public utilities, industrial sectors, residential areas, and commercial buildings, with a commitment to providing smart metering, network technologies, and advanced analytics for water, electric, and gas utilities. Partner with us in creating a world where water challenges are met with ingenuity and dedication; where we recognize the power of inclusion and belonging in driving innovation and allowing us to compete more effectively around the world.
</div>

CoffeeBeans

<div>
 
 
 About CoffeeBeans Consulting
 
 
 
 CoffeeBeans is a tech-driven software consulting company that helps businesses solve complex problems using modern data, AI, and engineering solutions. We blend deep technical expertise with a product mindset to build scalable, intelligent, and high-impact solutions across industries. Our data science team works on end-to-end delivery&mdash;from exploration and modeling to GenAI application development and deployment.
 
 
 
 
 
 
 
 
 
 
 
 Role Overvi
 
 
 
 ewAs an L2 Data Scientist, you will play a hands-on role in delivering production-grade ML and GenAI-powered applications. You are expected to independently take ownership of data science components within client projects, contribute to solutioning and design, and mentor junior team members. You will work across a range of use cases such as personalization, fraud detection, intelligent automation, RAG pipelines, and LLM-based assistant
 
 
 s.This role is ideal for someone who has proven experience in both traditional ML and an emerging understanding of LLMs and generative AI application
 
 
 
 
 
 
 
 
 
 s.
 
 
 Key Responsibili
 
 
 
 
 tiesML &amp; Data Sci
 
 
 <ul>
 <li>
 enceOwn and deliver ML model development, tuning, and evaluation for client-facing proje
 </li>
 <li>
 cts.Lead exploratory data analysis, data preprocessing, and feature engineering with minimal supervis
 </li>
 <li>
 ion.Build models using appropriate ML techniques (classification, regression, clustering, recommendation) and ensure performance meets business expectati
 </li>
 <li>
 ons.Contribute to experimentation frameworks and model reproducibility best practi
 </li>
 </ul>
 
 
 
 
 
 ces.
 
 GenAI &amp; LLM Applica
 
 
 <ul>
 <li>
 tionsDesign and prototype GenAI solutions using LLMs (e.g., OpenAI, Claude, Mistral, Ll
 </li>
 <li>
 ama).Build RAG pipelines, prompt templates, few-shot learning prompts, and evaluation mechanisms for GenAI sys
 </li>
 <li>
 tems.Integrate LLMs with APIs, vector databases (e.g., Pinecone, FAISS, Weaviate), and context provi
 </li>
 <li>
 ders.Contribute to benchmarking, safety, and cost-performance trade-offs in LLM app develop
 </li>
 </ul>
 
 
 
 
 
 ment.
 
 Product &amp; Engineering Collabo
 
 
 <ul>
 <li>
 rationCollaborate with engineering teams to take models from experimentation to deployment (batch/real-
 </li>
 <li>
 time).Assist in building APIs and data pipelines needed for productionizing m
 </li>
 <li>
 odels.Contribute to technical documentation, explainability reports, and client presenta
 </li>
 </ul>
 
 
 
 
 
 tions.
 
 Team &amp;
 
 
 <ul>
 <li>
 GrowthMentor junior data scientists and review code/model
 </li>
 <li>
 design.Stay current with advances in ML and GenAI to inform solution design and share knowledge inte
 </li>
 <li>
 rnally.Participate in discovery and solutioning phases with clients alongside tech leads a
 </li>
 </ul>
 
 
 
 
 
 
 
 
 nd PMs.
 
 
 Required Skills &amp; Quali
 
 
 <ul>
 <li>
 ficationsBachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Engineering, Statistics, or a relat
 </li>
 <li>
 ed field.3&ndash;5 years of hands-on experience in applied data science, including both ML model development and GenAI-based sol
 </li>
 <li>
 utioning.Strong command over Python and ML libraries (scikit-learn, XGBoost, LightGB
 </li>
 <li>
 M, etc.).Experience working with LLM APIs (OpenAI, Cohere, Claude, etc.) and frameworks (LangChain, LlamaIndex, or
 </li>
 <li>
 similar).Hands-on experience with prompt engineering, RAG workflows, and evaluating LLM
 </li>
 <li>
 outputs.Proficiency in SQL and data wrangling tools (pandas
 </li>
 <li>
 , NumPy).Experience working with REST APIs, Git, and cloud environments (
 </li>
 </ul>
 
 
 
 
 
 
 
 
 AWS/GCP).
 
 
 Good-to-
 
 
 <ul>
 <li>
 Have SkillsExperience with deploying models via FastAPI, Docker, or serverless
 </li>
 <li>
 platforms.Knowledge of MLOps tools (MLflow, DVC) and monitoring
 </li>
 <li>
 frameworks.Experience with embeddings, vector databases, and similar
 </li>
 </ul>
 
 
 
 
 
 
 
 
 ity search.
 
 
 What You Can Expect a
 
 
 <ul>
 <li>
 t CoffeeBeansWork on real-world AI/ML problems acro
 </li>
 <li>
 ss verticals.Be part of a fast-moving team delivering end-to-end ML &amp;
 </li>
 <li>
 ; GenAI apps.Collaborate with experienced engineers and PMs in a flat and
 </li>
 <li>
 open culture.Opportunities to lead, mentor, and influence te
 </li>
 </ul>
 
 
 
 ch direction.
</div>

sugar.fit

<div>
 
 
 About Sugar.fit
 
 
 
 Founded in 2021 Sugar.fit provides a personalized evidence-based path to type 2 and
 
 
 pre-diabetes reversal and management. Sugar.fit leverages a precision health platform
 
 
 combining CGM sensors, machine learning, and medical science to improve human
 
 
 metabolic health and reverse chronic disease through precision nutrition, progressive fitness,
 
 
 and behavioral health advice. Our research-driven treatment plan includes innovative
 
 
 technology, compassionate diabetes experts, and personalized plans, which will help to lead
 
 
 a normal life once more.
 
 
 
 
 
 
 Job Description
 
 
 
 
 Function
 
 : Data Science and Analysis - Data Science / Machine Learning
 
 
 
 Responsibilities:
 
 
 
 ● Quick Learners.
 
 
 ● Prior knowledge of ReactJS is a must.
 
 
 ● Comfortable with "Build fast and iterate".
 
 
 ● Project members at Sugarfit don't own code.
 
 
 ● Analyze raw data: assessing quality, cleansing, and structuring for downstream
 
 
 processing.
 
 
 ● Design accurate and scalable prediction algorithms.
 
 
 ● Collaborate with the engineering team to bring analytical prototypes to production.
 
 
 ● Generate actionable insights for business improvements.
 
 
 
 
 
 
 Requirements:
 
 
 
 ● Strong problem-solving skills with an emphasis on product development.
 
 
 ● Experience using statistical computer languages (R, Python, SLQ, etc. ) to
 
 
 manipulate data and draw insights from large data sets.
 
 
 ● Knowledge of a variety of machine learning techniques (clustering, decision tree
 
 
 learning, artificial neural networks, etc. ) and their real-world advantages/drawbacks.
 
 
 ● Excellent written and verbal communication skills for coordinating across teams.
 
 
 ● A drive to learn and master new technologies and techniques.
 
 
 ● At least 3 years of experience in quantitative analytics or data modeling.
 
 
 ● Deep understanding of predictive modeling, machine learning, clustering and
 
 
 classification techniques, and algorithms.
 
 
 ● Fluency in a programming language (Python, C, C++, Java, SQL).
 
 
 ● Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop,
 
 
 Spark, Tableau).
 
</div>

Explore 306+ Data engineer in Mangaluru this September. Find roles across top companies and apply now to boost your career.

306 data engineer jobs IN Mangaluru

Data Engineer

Data Scientist Engineer

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist