software engineer

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assc. manager, data science analytics Jobs in Mangaluru

assc. manager, data science analytics

machine learning engineer

NatWest Group

<div>
 Join our digital revolution in NatWest Digital X
 
 
 In everything we do, we work to one aim. To make digital experiences which are effortless and secure.
 
 
 So we organise ourselves around three principles: engineer, protect, and operate. We engineer simple solutions, we protect our customers, and we operate smarter.
 
 
 
 Job Description
 
 
 
 Our people work differently depending on their jobs and needs. From hybrid working to flexible hours, we have plenty of options that help our people to thrive.
 
 
 This role is based in India and as such all normal working days must be carried out in India.
 
 
 Join us as a Data Scientist
 
 
 <ul>
 <li>
 You&rsquo;ll design and implement data science tools and methods which harness our data in order to drive market leading purposeful customer solutions
 </li>
 <li>
 We&rsquo;ll look to you to actively participate in the data community to identify and deliver opportunities to support the bank&rsquo;s strategic direction through better use of data
 </li>
 <li>
 This is an opportunity to promote data literacy education with business stakeholders supporting them to foster a data driven culture and to make a real impact with your work
 </li>
 <li>
 We're offering this role at associate level
 
 
 
 </li>
 </ul>
 What you'll do
 
 
 As a Data Scientist, you&rsquo;ll bring together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques and algorithms to develop and implement ethically sound models end-to-end. We&rsquo;ll look to you to understand the needs of business stakeholders, form hypotheses and identify suitable data and analytics solutions to meet those needs in order to support the achievement of our business strategy.
 
 
 You&rsquo;ll also be:
 
 
 <ul>
 <li>
 Using data translation skills to work closely with business stakeholders to define detailed business questions, problems or opportunities which can be supported through analytics
 </li>
 <li>
 Applying a software engineering and product development lens to business problems, creating, scaling and deploying software driven products and services
 </li>
 <li>
 Working in an Agile way within multi-disciplinary data and analytics teams to achieve agreed project and scrum outcomes
 </li>
 <li>
 Selecting, building, training and testing machine learning models considering model valuation, model risk, governance and ethics, making sure that models are ready to implement and scale
 </li>
 <li>
 Iteratively building and prototyping data analysis pipelines to provide insights that will ultimately lead to production deployment
 
 
 
 </li>
 </ul>
 The skills you'll need
 
 
 You&rsquo;ll need a strong academic background in a STEM discipline such as Mathematics, Physics, Engineering or Computer Science. You&rsquo;ll have experience with statistical modelling and machine learning techniques.
 
 
 We&rsquo;ll also look for financial services knowledge, and an ability to identify wider business impact, risk or opportunities and make connections across key outputs and processes
 
 
 You&rsquo;ll also demonstrate:
 
 
 <ul>
 <li>
 The ability to use data to solve business problems from hypotheses through to resolution
 </li>
 <li>
 Experience using programming language and software engineering fundamentals
 </li>
 <li>
 Experience of Cloud applications and options
 </li>
 <li>
 Experience in synthesising, translating and visualising data and insights for key stakeholders
 </li>
 <li>
 Experience of exploratory data analysis
 </li>
 <li>
 Good communication skills with the ability to proactively engage with a wide range of stakeholders
 
 
 </li>
 </ul>
</div>

Data Scientist

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)

eBay

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 
 
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 
 
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 
 Role Overview
 
 
 
 We are looking for an experienced
 
 Data Scientist (Analytics)
 
 who can combine strong analytical thinking with hands-on data science and product-building skills. You&rsquo;ll own end-to-end problem-solving &mdash; from understanding business challenges, designing analytical frameworks, building scalable data products and models, and communicating insights that drive business action.
 
 
 This role is ideal for someone who enjoys working across analytics, data engineering, and machine learning &mdash; and who thrives in a fast-paced, collaborative environment.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 End-to-End Data Product Development: Design and develop scalable data products and tools that enable business and product teams to make better, faster decisions. This includes building data pipelines, modeling layers, and intuitive front-end dashboards or interfaces.
 </li>
 <li>
 Advanced Analytics &amp; Modeling: Apply statistical and machine learning techniques (e.g., seller churn prediction, propensity modeling, segmentation, and targeting) to solve core business problems.
 </li>
 <li>
 AI &amp; Automation: Leverage emerging AI technologies (e.g., agentic AI systems) to enhance analytics workflows and automate insights generation.
 </li>
 <li>
 Strategic Insights &amp; Storytelling: Translate complex analytical findings into crisp, actionable insights for senior executives and product leaders. Create compelling narratives that influence business strategy.
 </li>
 <li>
 Cross-functional Collaboration: Partner with global analytics, product, and business teams across US and EU markets to define success metrics, measure performance, and prioritize high-impact initiatives.
 </li>
 <li>
 Planning &amp; Execution: Manage multiple priorities and stakeholders, ensuring timely delivery and clear communication of progress, tradeoffs, and outcomes.
 
 
 
 </li>
 </ul>
 
 Required Qualifications &amp; Skills
 
 
 
 <ul>
 <li>
 5&ndash;8 years of experience in data science, analytics, or data product roles
 </li>
 <li>
 Strong proficiency in Python and SQL
 </li>
 <li>
 Hands-on experience with Tableau or other visualization tools
 </li>
 <li>
 Proven experience with machine learning, statistical modeling, and data-driven experimentation
 </li>
 <li>
 Strong background in handling large, complex datasets and building scalable data pipelines
 </li>
 <li>
 Exceptional problem-solving and analytical thinking skills &mdash; able to break down ambiguity into structured frameworks
 </li>
 <li>
 Excellent communication and storytelling skills &mdash; ability to influence senior stakeholders through clear and compelling narratives
 </li>
 <li>
 Strong project planning, prioritization, and execution capabilities
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with AI/LLM-based analytics or automation solutions
 </li>
 <li>
 Familiarity with modern data stack tools (e.g., Snowflake, Airflow, dbt)
 </li>
 <li>
 Prior experience in e-commerce, marketplace, or retail analytics domains
 </li>
 <li>
 Exposure to data product management or working in cross-functional product teams
 
 
 
 </li>
 </ul>
 Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
 
 
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 
 
 The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
</div>

Assc. Manager, Data Science Analytics

Cisco

<div>
 
 Meet the Team
 
 
 
 Splunk, a Cisco company, is building a safer, more resilient digital world with an end‑to‑end, full‑stack platform designed for hybrid, multi‑cloud environments. Join the Foundational Modeling team at Splunk, where we advance the state of AI for high‑volume, real‑time, multi‑modal machine‑generated data &mdash; including logs, time series, traces, and events. We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco&rsquo;s global engineering capabilities. Our work spans networking, security, observability, and customer experience &mdash; designing and deploying foundation models that enhance reliability, strengthen security, prevent downtime, and deliver predictive insights across Splunk Observability, Security, and Platform at enterprise scale. You&rsquo;ll be part of a culture that values technical excellence, impact‑driven innovation, and cross‑functional collaboration &mdash; all within a flexible, growth‑oriented environment.
 
 
 
 Your Impact
 
 
 
 <ul>
 <li>
 Own and develop specific components of foundation-model pipelines for machine-generated data&mdash;primarily logs, with supporting work across time series, traces, and events.
 </li>
 <li>
 Implement and optimize parts of distributed training and inference workflows, including profiling, scaling, and efficiency improvements.
 </li>
 <li>
 Collaborate with engineering, product, and data science teams to translate requirements into workable prototypes and support production integration.
 </li>
 <li>
 Participate in team knowledge-sharing, documentation, and internal technical discussions to help strengthen collective expertise.
 </li>
 <li>
 Stay current with emerging AI/ML advances and bring relevant ideas, papers, and techniques into ongoing research and development.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 PhD in Computer Science or related quantitative field, or Master plus 2+ years of industry research experience.
 </li>
 <li>
 Proven track record in at least one of the following areas: large language modeling for both structure and unstructured data, deep learning‑based time series modeling, advanced anomaly detection, and multi-modality modeling.
 </li>
 <li>
 Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
 </li>
 <li>
 Experience translating research ideas into production systems.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Deep NLP &amp; Domain‑Adapted LLMs: Background in building and adapting large‑scale language models (e.g., T5, BERT, LLaMA) for specialized domains including structured/unstructured logs, text, and event sequences.
 </li>
 <li>
 Log Analytics Expertise &ndash; In‑depth knowledge of structured/unstructured system logs, event sequence analysis, anomaly detection, and root cause identification.
 </li>
 <li>
 Advanced Anomaly Detection &ndash; Experience creating robust, scalable approaches (statistical, deep learning, or hybrid) for high‑volume, real‑time logs data.
 </li>
 <li>
 Multi‑Modal AI Modeling &ndash; Strong track record fusing logs, time series, traces, tabular data, and graphs for foundation models tackling complex operational insights.
 </li>
 <li>
 Large‑Scale Training &amp; Optimization &ndash; Experience optimizing model architectures, distributed training pipelines, and inference efficiency to minimize cost and latency while preserving accuracy.
 </li>
 <li>
 MLOps &amp; Continuous Learning &ndash; Fluency in automated retraining, drift detection, incremental updates, and production monitoring of ML models.
 </li>
 <li>
 Strong Research Track Record &ndash; Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, KDD) demonstrating contributions to state‑of‑the‑art methods and real‑world applications.
 
 
 </li>
 </ul>
 Why Cisco?
 
 
 At Cisco, we&rsquo;re revolutionizing how data and infrastructure connect and protect organizations in the AI era &ndash; and beyond. We&rsquo;ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 
 
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you&rsquo;ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 
 
 We are Cisco, and our power starts with you.
</div>

Applied AI Scientist

<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>

SkilloVilla

<div>
 
 
 About the Job
 
 
 
 We are looking for a Data Scientist proficient with AI/ML/NLP/CV/GenAI. Your primary focus will be designing and developing curriculum for our new AI focused programs.
 
 
 
 
 
 
 Location: Bengaluru (Work from Office)
 
 
 
 
 Duration: 6 Months + PPO (based on performance)
 
 
 
 
 
 
 
 Benefits
 
 
 <ul>
 <li>
 Certificate of Internship
 </li>
 <li>
 Competitive compensation
 </li>
 <li>
 An opportunity to
 
 convert the internship to a full-time role
 
 </li>
 <li>
 Get
 
 mentoring from the COO and CTO
 
 </li>
 <li>
 Work in an agile environment on quality problems
 </li>
 </ul>
 
 
 
 
 
 Roles and Responsibilities
 
 
 <ul>
 <li>
 Work closely with program managers and industry experts to design and evolve the Data Science curriculum, with a specific focus on
 
 ML/DL/GenAI/NLP/CV
 
 .
 </li>
 <li>
 Design and build high-quality learning products that are focused on
 
 real-world applications and employment
 
 .
 </li>
 <li>
 Collaborate cross-functionally with teams to ensure a seamless development process for
 
 course materials and related content
 
 (video lectures, reading materials, problem statements, case studies).
 </li>
 <li>
 Stay updated with the latest
 
 trends and industry developments in Data Science
 
 to ensure the curriculum remains relevant and up-to-date.
 </li>
 <li>
 Manage and track student progress through assignments, quizzes, and other assessments.
 </li>
 </ul>
 
 
 
 
 
 Skills Required
 
 
 
 
 
 Bare Minimum
 
 
 
 <ul>
 <li>
 Knowledge: A solid understanding of Data Science, specifically in areas such as ML, DL, and NLP, with practical project development experience in these areas as well.
 </li>
 <li>
 Education: BCA or BTech in AI, ML, Data Science, Engineering, or relevant fields. Freshers are welcome to apply.
 </li>
 <li>
 Programming: Hands-on experience with Python (pandas, numpy, scipy, matplotlib), including DSA, and knowledge of popular ML frameworks like TensorFlow or similar.
 </li>
 <li>
 Communication: Strong written and verbal communication skills in English.
 </li>
 </ul>
 
 
 ﻿
 
 Recommended
 
 
 
 <ul>
 <li>
 Knowledge: A solid understanding of GenAI and CV, with practical project development experience in these areas as well.
 </li>
 <li>
 Education: MTech or MSc with upto 1 year of experience in building AI solutions.
 </li>
 <li>
 Programming: Knowledge of DSA and backend development (FastAPI) using Python.
 </li>
 <li>
 Learning Capabilities: A passion for rapid learning and the ability to quickly adapt to new tools, techniques, and technologies, even when unfamiliar.
 </li>
 </ul>
 
 
 
 
 
 Ready to showcase your talents?
 
 
 
 
 Submit your resume, and let us see what you'vs got!
 
 
</div>

Data Science Curriculum Intern

MakeMyTrip

<div>
 Job Title: Director &mdash; Data Scientist
 
 
 Location: Bengaluru
 
 
 Experience: 14+ Years
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build end to end DS/AI/ML solutions.
 </li>
 <li>
 Own analyses, model training, deployment, business impact A/B evaluation, and subsequent iterations, for best-in-class data science models.
 </li>
 <li>
 Primary focus on dynamic pricing and discounting modules for various lines of business (flights, hotels, domestic, international, B2C meta) and potentially other products of both brands MakeMyTrip and GoIbibo.
 </li>
 <li>
 Work with stakeholders at various stages of the project, lead project development.
 </li>
 <li>
 Conduct iterative experiments, demonstrating incremental lift in business metrics due to AI/ML initiatives.
 </li>
 <li>
 Improve the system quality with best-in-class models and engineering tech.
 </li>
 <li>
 Opportunity to work with large click stream e-commerce data sets, at MakeMyTrip, GoIbibo, and TripMoney FinTech.
 </li>
 <li>
 Build and own robust data science APIs meeting 99% SLA at very high RPS. Also, ensure training/inference MLOps rigour.
 </li>
 <li>
 Show business impact while having the opportunity to build best-in-class AI/ML models.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in CS, EE, Mathematics, Statistics, Engineering technical field, or equivalent practical experience.
 </li>
 <li>
 A minimum of 14-18 years of experience (minimum of 10 years with a Ph. D. ) in applied DS /AI/ ML.
 </li>
 <li>
 Production experience in AI/ML Modelling, Pricing, discounting, recommendation systems and personalization.
 </li>
 <li>
 Production experience in price elasticity modeling or causal uplift modeling with combinatorial optimization is a plus.
 </li>
 <li>
 Production experience in contextual bandits and off-policy reinforcement learning methods is big plus.
 </li>
 <li>
 Production experience in sequential/incremental learning systems is a plus.
 </li>
 <li>
 Preferably, has worked in e-commerce.
 </li>
 <li>
 Experience with applying machine learning techniques to big data systems (e. g., Spark or Spark SQL) with TB to PB scale datasets.
 </li>
 <li>
 If one has a Ph. D, it should be in a quantitative field with strong/relevant experience for the problems mentioned above.
 </li>
 <li>
 Keen aptitude to learn and experiment with AI/ML adoption across various use cases.
 </li>
 <li>
 Experience with large-scale A/B testing systems, especially in the domain of online advertising or online commerce.
 </li>
 </ul>
</div>

Director - Data Scientist

Explore 68+ Machine learning engineer in Mangaluru this February. Find roles across top companies and apply now to boost your career.

68 machine learning engineer jobs In Mangaluru

Data Scientist

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

Assc. Manager, Data Science Analytics

Applied AI Scientist

Data Scientist

Data Science Curriculum Intern

Director - Data Scientist