software engineer

data scientist

analyst

accounting analyst

analyst - iii

data engineer

Deloitte

<div>
 
 Summary
 
 
 
 
 Position Summary
 
 
 
 
 Artificial Intelligence &amp; Engineering
 
 
 
 AI &amp; Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions insights are powered by engineering for business advantage, helping transforming mission-critical operations.
 
 
 Join our AI &amp; Engineering team to help in transforming technology platforms, driving innovation, and helping help make a significant impact on our clients' success achievements. You&rsquo;ll work alongside talented professionals reimagining and re-engineering operations and processes that are could be critical to businesses.
 
 
 
 Position Summary
 
 
 
 
 Work you&rsquo;ll do:
 
 
 
 Lead discussions with business and functional analysts to understand requirements and assess integration impacts on business architecture. Prepare technical architecture and design, clarify requirements, and resolve ambiguities. Develop solutions in line with established technical designs, integration standards, and quality processes. Create and enforce technical design and development guides, templates, and standards. Facilitate daily scrum meetings, manage deliverables, and prepare weekly status reports for leadership review. Conduct detailed deliverable reviews and provide technical guidance to team members. Collaborate with onsite clients, coordinators, analysts, and cross-functional teams. Design templates or scripts to automate routine development or operational tasks.
 
 
 
 The team:
 
 
 
 AI &amp; Data offers a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offering helps clients innovate, and enhance their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
 
 
 AI &amp; Data professionals will work with our clients to:
 
 
 <ul>
 <li>
 Design and modernize large-scale data and analytics platforms including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud, edge and AI/ML technologies, platforms and methodologies for storage, processing
 </li>
 <li>
 Leverage automation, cognitive and AI based solutions to manage data, predict scenarios and prescribe actions
 </li>
 <li>
 Drive operational efficiency by managing and upgrading their data ecosystems and application platforms, utilizing analytics expertise and providing As-a-Service models to ensure continuous insights and enhancements.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must Have Skills/Project Experience/Certifications:
 
 
 
 <ul>
 <li>
 3 - 10 years of hands-on experience in technology Consulting experience
 </li>
 <li>
 Experience developing Classes, OOPS, exception handling, parallel processing.
 </li>
 <li>
 Strong knowledge of DB connectivity, data loading, transformation, calculation.
 </li>
 <li>
 Concurrency and error handling data pipeline batch of size [1-10 gb].
 </li>
 <li>
 Ability to understand business requirements and translate them into technical requirements.
 </li>
 <li>
 Ability to design architecture of data pipeline for concurrent data processing.
 </li>
 <li>
 Familiar with creating/designing RESTful services and APIs.
 </li>
 <li>
 Familiar with application unit tests.
 </li>
 <li>
 Working with Git source control Service-orientated architecture, including the ability to consider integrations with other applications and services.
 </li>
 <li>
 Debugging application.
 
 
 </li>
 </ul>
 
 Good to Have Skills/Project Experience/Certifications:
 
 
 
 <ul>
 <li>
 Good Understanding of fundamental design principles behind a scalable application
 </li>
 <li>
 Good Understanding of accessibility and security compliance
 </li>
 <li>
 Familiarity with event-driven programming in Python
 </li>
 <li>
 Proficient understanding of code versioning tools (Git, Mercurial or SVN)
 </li>
 <li>
 Knowledge of PowerShell and SQL Server
 </li>
 <li>
 Good Knowledge of user authentication and authorization between multiple systems, servers, and environments
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university
 
 
 
 Location:
 
 
 
 Bengaluru/Hyderabad/Pune/Chennai
 
 
 
 #AIE2026
 
 
 
 #AI&amp;Data2026
 
 
 
 Our purpose
 
 
 
 Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.
 
 
 
 Our people and culture
 
 
 
 Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas and perspectives, and bring more creativity and innovation to help solve our clients&rsquo; most complex challenges. This makes Deloitte one of the most rewarding places to work.
 
 
 
 Professional development
 
 
 
 At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India .
 
 
 
 Benefits To Help You Thrive
 
 
 
 At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
 
 
 
 Recruiting tips
 
 
 
 From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
 
 
 Requisition code: 322086
</div>

Python Data Engineer-Hyderabad,Bengaluru,Pune,Chennai

Crescendo Global

<div>
 
 
 Senior Data Scientist &ndash; Machine Learning (Traditional Models)
 
 
 
 Experience - 6 to 10 years
 
 
 Location -
 
 Bangalore/Noida/Gurugram/Pune
 
 
 
 
 
 
 
 Fraud Analytics (LTC Claims)
 
 
 
 
 Role Summary
 
 
 
 We are seeking a
 
 Senior Data Scientist (6&ndash;10 years of experience)
 
 to support a
 
 fraud analytics initiative focused on Long‑Term Care (LTC) insurance claims
 
 . This is a
 
 client‑facing role
 
 requiring strong analytical expertise, hands‑on modeling experience, and the ability to independently drive analysis, present insights, and collaborate with stakeholders.
 
 
 The ideal candidate will have a solid foundation in
 
 statistical modeling and hypothesis testing
 
 , combined with deep rooted experience in
 
 tree‑based and ensemble machine learning models
 
 , and cloud‑based data platforms.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and deploy
 
 fraud detection models
 
 for LTC insurance claims using statistical and machine learning techniques
 </li>
 <li>
 Perform
 
 exploratory data analysis (EDA)
 
 , feature engineering, and hypothesis testing to identify fraud patterns and anomalies
 </li>
 <li>
 Build, evaluate, and optimize
 
 traditional statistical models
 
 as well as
 
 tree‑based models
 
 such as Random Forest, XGBoost, CatBoost, LightGBM etc.
 </li>
 <li>
 Independently conduct
 
 data analysis, research, and model experimentation
 
 , and translate findings into actionable insights
 </li>
 <li>
 Write clean, efficient, and production‑ready code using
 
 Python and SQL
 
 </li>
 <li>
 Work extensively with
 
 large datasets
 
 using cloud platforms, primarily
 
 Google Cloud Platform (GCP)
 
 </li>
 <li>
 Query and manage data using
 
 BigQuery
 
 , and handle datasets stored in
 
 Cloud Storage (Buckets)
 
 </li>
 <li>
 Use
 
 Git
 
 for version control, collaboration, and code review
 </li>
 <li>
 Prepare clear, concise, and impactful
 
 presentations for clients
 
 , explaining analytical findings to both technical and non‑technical stakeholders
 </li>
 <li>
 Collaborate with business, data engineering, and client teams to ensure models align with fraud investigation and business objectives
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 
 6&ndash;7 years of hands‑on experience
 
 in data science, analytics, or applied machine learning
 </li>
 <li>
 Strong understanding of statistical modeling, probability concepts and hypothesis testing
 </li>
 <li>
 Proven experience with
 
 tree‑based and ensemble machine learning models
 
 (RF, XGBoost, CatBoost, LightGBM)
 </li>
 <li>
 
 Expert‑level SQL
 
 for data extraction, transformation, and analysis
 </li>
 <li>
 
 Strong Python skills
 
 for data analysis and modeling
 </li>
 <li>
 Experience using
 
 Git
 
 for source code management
 </li>
 <li>
 Solid exposure to
 
 cloud‑based analytics environments
 
 , preferably Google Cloud Platform (GCP), BigQuery and Cloud Storage
 </li>
 <li>
 Ability to
 
 work independently
 
 , manage deliverables, and drive tasks end‑to‑end
 </li>
 <li>
 Excellent
 
 verbal and written communication skills
 
 , essential for a client‑facing role
 </li>
 </ul>
 
 
 
 
 
 Candidate Profile
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master's degree in economics, statistics, mathematics, computer science/engineering, operations research or related analytics areas
 </li>
 <li>
 Strong
 
 data analysis experience
 
 with complex, real‑world datasets
 </li>
 <li>
 Superior
 
 analytical thinking and problem‑solving skills
 
 </li>
 <li>
 Outstanding
 
 written and verbal communication skills
 
 , with confidence in client interactions
 </li>
 </ul>
 
 
</div>

Data Scientist (Machine learning - XG boost) (Multiple locations)

Snapmint

<div>
 
 
 Job Description: Data Scientist &ndash; Credit Risk Team
 
 
 
 
 
 
 
 About the Role
 
 
 
 We are hiring a
 
 Data Scientist
 
 to own
 
 end-to-end credit underwriting models
 
 for a high-scale
 
 fintech product
 
 . This role spans
 
 model development, real-time deployment, monitoring, and continuous improvement
 
 , directly impacting approval rates, fraud, credit losses, and GMV.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 Credit Underwriting &amp; Modeling
 
 
 <ul>
 <li>
 Build and maintain
 
 credit risk models
 
 using
 
 Logistic Regression, XGBoost / LightGBM and deep learning
 
 </li>
 <li>
 Design underwriting strategies for
 
 NTC (New-to-Credit)
 
 users using alternative &amp; behavioural data
 </li>
 <li>
 Balance
 
 credit risk, fraud risk, and conversion
 
 in checkout flows
 </li>
 <li>
 Design
 
 real-time features
 
 with strict latency SLAs (&lt;100 ms):
 </li>
 <li>
 Velocity &amp; frequency features
 </li>
 <li>
 Rolling window aggregates
 </li>
 <li>
 Behavioural &amp; transactional signals
 </li>
 <li>
 Implement
 
 incremental / online feature updates
 
 (mean, std, EWMA, decay)
 </li>
 <li>
 Ensure
 
 training&ndash;serving feature parity
 
 using feature stores or custom pipelines
 </li>
 <li>
 Partner with Risk teams to define:
 </li>
 <li>
 Score cut-offs, bands, and guardrails
 </li>
 <li>
 Policy rules layered over ML models
 </li>
 </ul>
 
 
 
 
 
 Experimentation &amp; Business Impact:
 
 
 <ul>
 <li>
 Measure impact on:
 </li>
 <li>
 Approval rate
 </li>
 <li>
 FPD &amp; delinquency
 </li>
 <li>
 Portfolio loss &amp; margins
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 <ul>
 <li>
 
 2&ndash;6+ years
 
 experience in
 
 Credit Risk / Lending / Cards
 
 </li>
 <li>
 Strong hands-on experience with
 
 Python &amp; SQL
 
 </li>
 <li>
 Experience with
 
 credit bureau data
 
 (CIBIL / Experian / Equifax)
 </li>
 </ul>
 
 
 
 
 
 Location :
 
 Bangalore
 
 
 
 Working Days:
 
 Monday to Friday.
 
</div>

Data Scientist

LSEG

<div>
 The Markets Pricing team plays a critical role in supporting the Digital &amp; Securities Markets business by crafting and driving commercial strategies across the product lifecycle&mdash;including ideation, development, launch, and ongoing management. The team also owns the development of analytics to inform and improve these strategies.
 
 
 This role will work closely with senior business leaders and product development teams to design and implement a balanced and competitive commercial policy. It offers a direct opportunity to influence the commercial performance of the division.
 
 
 Reporting to the Senior Manager, Markets Pricing, the
 
 Data Scientist
 
 will be instrumental in building and maintaining a robust analytical framework passionate about commercial performance and pricing strategy.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Creating and evolving pricing structures in support of business and commercial objectives
 </li>
 <li>
 Analysing and assuring the competitiveness of existing pricing structures
 </li>
 <li>
 Providing information and analysis on clients&rsquo; behaviour
 </li>
 <li>
 Monitoring the impact of LSEG pricing initiatives on clients and market quality
 </li>
 <li>
 Analysing competitors&rsquo; pricing initiatives
 </li>
 <li>
 Driving increased alignment in pricing structures across Capital Markets
 </li>
 <li>
 Effectively collaborate with business to provide high quality analysis to our stakeholders.
 </li>
 <li>
 Proactively identify, analyse and present commercial opportunities
 
 
 </li>
 </ul>
 SKILLS AND EXPERIENCE:
 
 
 
 Required Skills:
 
 
 
 <ul>
 <li>
 Communication, Collaboration and Analytical skills
 </li>
 <li>
 Intermediate proficiency in data visualisation tool (Eg: Tableau)
 </li>
 <li>
 Intermediate proficiency in Python (NumPy, Pandas, Prophet, scikit-learn)
 </li>
 <li>
 Intermediate proficiency in SQL
 
 
 </li>
 </ul>
 
 Desired Skills:
 
 
 
 <ul>
 <li>
 At least 2-3 years of professional experience is desirable
 </li>
 <li>
 Understanding of financial markets a plus
 </li>
 <li>
 Knowledge of developing forecasting models a plus
 </li>
 <li>
 Prior experience in Data Science and Advanced Analytics a plus
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 Bachelor&rsquo;s Degree in Data Science or equivalent experience
 
 
 Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
 
 
 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.
 
 
 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.
 
 
 You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 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>

<div>
 
 HP
 
 is the world&rsquo;s leading personal systems and printing company, we create technology that makes life better for everyone, everywhere. Our innovation springs from a team of individuals, each collaborating and contributing their own perspectives, knowledge, and experience to advance the way the world works and lives.
 
 
 This is an opportunity to join HP Inc team responsible for Statistical Forecasting &amp; analytics for Personal Systems (Worldwide: Americas, Europe &amp; Asia. The team works closely with various business units, regions, functions across multiple domains and design and
 
 develop Tools/solutions for Business problems
 
 .
 
 
 
 If You Are Our Data Scientist In India
 
 
 
 <ul>
 <li>
 We are looking for a Full-Stack Data Science professional to join our growing Personal Systems- Statistical Forecasting &amp; analytics COE team. In this role, you will work closely with senior data scientists and SMEs to build, enhance, and maintain scalable ML based web applications/solutions in Demand Planning and Supply chain domain.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 2 to 6 Years of total experience .
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science, Engineering, or a related field (or equivalent practical experience)
 </li>
 <li>
 Basic understanding of Machine Learning / AI Agents concepts and Statistics.
 </li>
 <li>
 Basic understanding of HTML, CSS, and JavaScript.
 </li>
 <li>
 Familiarity with at least one front-end framework such as React or Angular.
 </li>
 <li>
 Basic knowledge of a backend language such as Java, Node.js, Python.
 </li>
 <li>
 Visualization skills: Power BI/Tableau would be preferable.
 </li>
 <li>
 Database: MS SQL/Oracle SQL
 </li>
 <li>
 Exposure to Cloud solutions like AWS/Microsoft Azure will be an added advantage
 </li>
 <li>
 Ability to design analytics solutions, simulation, modelling to address business problems.
 
 
 </li>
 </ul>
 
 Are you a high- performer? We are looking for an individual with.
 
 
 
 Sustainable impact is HP&rsquo;s commitment to create positive, lasting change for the planet, its people, and our communities. This serves as a guiding principle for delivering on our corporate vision &ndash; to create technology that makes life better for everyone, everywhere.
 
 
 HP is a Human Capital Partner &ndash; we commit to human capital development and adopting progressive workplace practices in India.
 
 
</div>

Insight Global

<div>
 
 
 Insight Global
 
 is seeking an experienced
 
 Software Engineer (Full-Stack
 
 ) for one of their premier
 
 financial services clients
 
 in
 
 Bengaluru
 
 . This person will sit within the
 
 Data and Analytics Data Trust
 
 team and will be responsible for building a governance platform for a
 
 Delivery Catalogue
 
 experience for the client&rsquo;s end customers. He or she will work closely with leading technical teams and business stakeholders to build commercial applications to be deployed on Azure services.
 
 
 
 
 
 
 Must Haves:
 
 
 
 8+ years software engineering experience, ideally in the financial services domain
 
 
 Experience with modern JS frameworks such as React, with good exposure to state management (Redux) &amp; React Router
 
 
 Good knowledge of TypeScript, HTML, CSS
 
 
 Experience with React UI libraries like React Bootstrap, Material UI
 
 
 Hands on experience with build frameworks for React like Vite, Next.js
 
 
 Hands on experience with testing framework for React like Vitest, Jest, React Testing Library (RTL)
 
 
 Development experience on Azure Cloud platform with services like API Management, Azure Function Apps, Application Insights
 
 
 Good knowledge of Object-Oriented Programming (OOPS), design principles &amp; patterns and Functional Programming (FP) concepts
 
 
 Good exposure to Code management and deployment platform like Gitlab, continuous integration &amp; continuous deployment (CICD)
 
 
 Experience in developing Single Page Applications (SPAs) and APIs/Function Apps (Good understanding of SPA architecture of a website)
 
 
 Strong understanding of software development principles and design patterns
 
</div>

Software Engineer

Scouto AI

<div>
 As a Deposition Equipment Engineer, you will be responsible for operating, maintaining, and optimizing our thin-film deposition tools used in superconducting quantum processor fabrication. You will work closely with process engineers and device designers to ensure uniform, high-quality thin films across multi-layer metal stacks. The role involves preventive maintenance, vacuum system management, contamination control, and troubleshooting to maintain high tool uptime. You will also collaborate on process improvements and support metrology for film characterization to achieve reproducible, high-yield quantum devices.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 MSc/M.Tech/PhD Degree in Physics, Electrical Engineering, Materials Science, or a related field with a focus on quantum mechanics or quantum technology.
 </li>
 <li>
 Hands-on experience operating and maintaining UHV sputtering systems (DC/RF), including chamber conditioning, target handling, and deposition stability.
 </li>
 <li>
 Strong knowledge of thin-film processes for superconducting materials such as Nb, Al, TiN, multilayer metal stacks, and adhesion/barrier layers.
 </li>
 <li>
 Expertise in vacuum systems, including turbomolecular pumps, cryo pumps, gauges, leak detection, and vacuum troubleshooting.
 </li>
 <li>
 Familiarity with thermal and e-beam evaporation systems and/or ALD tools, with ability to maintain uniformity and repeatability.
 </li>
 <li>
 Experience monitoring film quality via XRD, ellipsometry, AFM, SEM, and stress measurement tools.
 </li>
 <li>
 Ability to execute and optimize preventive maintenance schedules, chamber cleans, and equipment calibration.
 </li>
 <li>
 Knowledge of contamination control, target poisoning, film purity, and chamber material interactions.
 </li>
 <li>
 Strong documentation, SPC/FDC data interpretation, and equipment-level root-cause troubleshooting skills.
 
 
 </li>
 </ul>
 Skills: dc,ald,rf circuits,equipment engineering,uhv sputtering,deposition systems,evaporation
</div>

Equipment Engineer

Explore 106+ Data engineer in Mangaluru this February. Find roles across top companies and apply now to boost your career.

106 data engineer jobs In Mangaluru

Python Data Engineer-Hyderabad,Bengaluru,Pune,Chennai

Data Scientist (Machine learning - XG boost) (Multiple locations)

Data Scientist

Data Scientist

Data Scientist

Software Engineer

Equipment Engineer