data scientist

software engineer (university grad) - bangalore Jobs in Mangaluru

software engineer (university grad) - bangalore

(ind) staff, data scientist Jobs in Mangaluru

(ind) staff, data scientist

ai scientist - 2

ai/ml scientist(operations research/optimization/simulation) Jobs in Mangaluru

ai/ml scientist(operations research/optimization/simulation)

applied scientist india machine learning

Amazon

<div>
 
 Description
 
 
 
 Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon&rsquo;s customers? Do you want to build and deploy advanced algorithmic systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning and team for India Consumer Businesses.
 
 
 If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you.
 
 
 Major responsibilities
 
 
 <ul>
 <li>
 Use machine learning and analytical techniques to create scalable solutions for business problems
 </li>
 <li>
 Analyze and extract relevant information from large amounts of Amazon&rsquo;s historical business data to help automate and optimize key processes
 </li>
 <li>
 Design, development, evaluate and deploy innovative and highly scalable models for predictive learning
 </li>
 <li>
 Research and implement novel machine learning and statistical approaches
 </li>
 <li>
 Work closely with software engineering teams to drive real-time model implementations and new feature creations
 </li>
 <li>
 Work closely with business owners and operations staff to optimize various business operations
 </li>
 <li>
 Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
 </li>
 <li>
 Mentor other scientists and engineers in the use of ML techniques
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 The India Machine Learning team works closely with the business and engineering teams in building ML solutions that create an impact for Amazon's IN businesses. This is a great opportunity to leverage your machine learning and data mining skills to create a direct impact on consumers and end users.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Master's degree or above in computer science, computer engineering, or related field
 </li>
 <li>
 Experience programming in Java, C++, Python or related language
 </li>
 <li>
 3+ years of building models for business application experience
 </li>
 <li>
 PhD, or a Master's degree and experience building machine learning models or developing algorithms for business application
 </li>
 <li>
 Experience in patents or publications at top-tier peer-reviewed conferences or journals
 </li>
 <li>
 Experience programming in Java, C++, Python or related language
 </li>
 <li>
 Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience implementing algorithms using both toolkits and self-developed code
 </li>
 <li>
 Have publications at top-tier peer-reviewed conferences or journals
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI - Karnataka
 
 
 Job ID: A3089323
</div>

Applied Scientist, India Machine Learning

Microsoft

<div>
 
 Overview
 
 
 
 We are seeking a passionate and technically skilled Data Scientist II to join the Commerce &ndash; Platforms, Data, and Experiences (PDX) team. This team plays a pivotal role in shaping Microsoft&rsquo;s commerce data strategy, building scalable data platforms, and delivering actionable ML driven insights that drive business transformation across the ecosystem.
 
 
 As a Data Scientist II in PDX, you will work at the intersection of data engineering, data processing, and machine learning to solve complex business problems. You will collaborate with cross-functional teams to design experiments, build predictive models, and develop scalable solutions that enhance decision-making and customer experiences by producing descriptive, diagnostic, predictive and prescriptive insights.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement advanced analytics solutions to support commerce data platform initiatives including analytics based on Machine Learning Models.
 </li>
 <li>
 Partner with engineering and product teams to define data requirements and ensure high-quality data pipelines.
 </li>
 <li>
 Conduct exploratory data analysis, feature engineering, and model evaluation using structured and unstructured datasets.
 </li>
 <li>
 Ensure the models built are operable, scalable, extensible and performant.
 </li>
 <li>
 Develop dashboards, visualizations, and storytelling artifacts to communicate insights to stakeholders.
 </li>
 <li>
 Lead experimentation efforts to evaluate new features, forecasting, data quality and anomaly detection systems.
 </li>
 <li>
 Build extensible solutions on LLM models to improve productivity of engineers across the commerce organization.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, or related field.
 </li>
 <li>
 2+ years of experience in data science, analytics, or applied machine learning.
 </li>
 <li>
 Proficiency in Python, SQL, and ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Experience with cloud platforms (Azure preferred) and big data technologies.
 </li>
 <li>
 Strong understanding of statistical modeling, predictive analytics, and experimentation design.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 <li>
 Demonstrated experience leveraging AI tools and technologies to enhance engineering effectiveness, coupled with a strong curiosity and commitment to continuous learning in the field of Artificial Intelligence.
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Data Scientist II

Glance

<div>
 
 
 What you will be doing
 
 
 
 We are looking for a Data Scientist who can operate at the intersection of
 
 classical machine learning
 
 ,
 
 large-scale recommendation systems
 
 , and
 
 modern agentic AI systems
 
 .
 
 
 You will design, build, and deploy intelligent systems that power Glance&rsquo;s personalized lock screen and live entertainment experiences. This role blends deep ML craftsmanship with forward-looking innovation in autonomous/agentic systems.
 
 
 
 Your responsibilities will include:
 
 
 
 
 Classical ML &amp; Recommendation Systems
 
 
 <ul>
 <li>
 Design and develop large-scale recommendation systems using advanced ML, statistical modelling, ranking algorithms, and deep learning.
 </li>
 <li>
 Build and operate machine learning models on diverse, high-volume data sources for personalization, prediction, and content understanding.
 </li>
 <li>
 Develop rapid experimentation workflows to validate hypotheses and measure real-world business impact.
 </li>
 <li>
 Own data preparation, model training, evaluation, and deployment pipelines in collaboration with engineering counterparts.
 </li>
 <li>
 Monitor ML model performance using statistical techniques; identify drifts, failure modes, and improvement opportunities.
 </li>
 </ul>
 
 
 Agentic Systems &amp; Next-Gen AI
 
 
 <ul>
 <li>
 Build and experiment with
 
 agentic AI systems
 
 that autonomously observe model performance, trigger experiments, tune hyperparameters, improve ranking policies, or orchestrate ML workflows with minimal human intervention.
 </li>
 <li>
 Apply
 
 LLMs, embeddings, retrieval-augmented architectures, and multimodal generative models
 
 for semantic understanding, content classification, and user preference modelling.
 </li>
 <li>
 Design intelligent agents that can automate repetitive decision-making tasks&mdash;e.g., candidate generation tuning, feature selection, or context-aware content curation.
 </li>
 <li>
 Explore reinforcement learning, contextual bandits, and self-improving systems to power next-generation personalization.
 </li>
 </ul>
 
 
 Cross-functional impact
 
 
 <ul>
 <li>
 Collaborate with Designers, UX Researchers, Product Managers, and Software Engineers to integrate ML and GenAI-driven features into Glance&rsquo;s consumer experiences.
 </li>
 <li>
 Contribute to Glance&rsquo;s ML/AI thought leadership&mdash;blogs, case studies, internal tech talks, and industry conferences.
 </li>
 <li>
 Thrive in a multi-functional, highly collaborative team environment with engineering, product, business, and creative teams.
 </li>
 <li>
 Plus: Interface with stakeholders across Product, Business, Data, and Infrastructure to align ML initiatives with strategic priorities.
 </li>
 </ul>
 
 
 
 
 We are seeking candidates with deep expertise in ML, recommendation systems, and a strong appetite for building agentic AI systems.
 
 
 You should have experience with:
 
 <ul>
 <li>
 Large-scale ML and recommendation systems (collaborative filtering, ranking models, content-based approaches, embeddings).
 </li>
 <li>
 Classical ML and deep learning techniques across NLP, sequence modelling, RL, clustering, and time series.
 </li>
 <li>
 Experience in deploying ML workflows/models in production system
 </li>
 <li>
 Big data processing (Spark, distributed data systems) and cloud computing.
 </li>
 <li>
 Designing end-to-end ML solutions&mdash;from prototype to production.
 </li>
 <li>
 Plus: Building or experimenting with LLMs, generative models, and agentic AI workflows (e.g., autonomous evaluators, self-improving pipelines, automated experiment agents).
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/master&rsquo;s in computer science, Statistics, Mathematics, Electrical Engineering, Operations Research, Economics, Analytics, or related fields. PhD is a plus.
 </li>
 <li>
 6+ years of industry experience in ML/Data Science, ideally in large-scale recommendation systems or personalization.
 </li>
 <li>
 Experience with LLMs, retrieval systems, generative models, or agentic/autonomous ML systems is highly desirable.
 </li>
 <li>
 Expertise with algorithms in NLP, Reinforcement Learning, Time Series, and Deep Learning, applied on real-world datasets.
 </li>
 <li>
 Proficient in Python and comfortable with statistical tools (R, NumPy, SciPy, PyTorch/TensorFlow, etc.).
 </li>
 <li>
 Strong experience with the big data ecosystem (Spark, Hadoop) and cloud platforms (Azure, AWS, GCP/Vertex AI).
 </li>
 <li>
 Comfortable working in cross-functional teams.
 </li>
 <li>
 Familiarity with privacy-preserving ML and identity-less ecosystems (especially on iOS and Android).
 </li>
 <li>
 Excellent communication skills with the ability to simplify complex technical concepts.
 </li>
 </ul>
 
 
 
 We value curiosity, problem-solving ability, and a strong bias toward experimentation and production impact.
 
 
 Our team includes engineers, physicists, economists, mathematicians, and social scientists&mdash;a great data scientist can come from anywhere.
 
</div>

Machine Learning Engineer III - Recommendation Systems

Intuit

<div>
 
 Overview
 
 
 
 Intuit is seeking a Sr AI Scientist to join our AI Science team in Intuit India for the Virtual Expert Platform (VEP) Organization.
 
 
 We&rsquo;re investing in a culture of &ldquo;builders&rdquo; by fostering an environment where innovation, creativity, and bold thinking are encouraged. I believe that the &ldquo;builder&rdquo; mindset is necessary for us to accelerate our move toward AI-native experiences. This requires more builders who can rapidly apply AI and emerging technologies to solve our customers&rsquo; problems.
 
 
 Join the Virtual Expert Platform team, the driving force behind Intuit's expert service, sales, and workforce management (and other Operations Research topics), generating billions in revenue.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Practices leadership and communication skills to influence teams and to evangelize AI science across the organization
 </li>
 <li>
 Collaborates with stakeholders to define success criteria and align ML model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
 </li>
 <li>
 Leads technical work of a scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the team&rsquo;s work, and holding the team accountable for high quality code, git, design, costs and implementation standards
 </li>
 <li>
 Performs hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them &ldquo;model-ready&rdquo;. You need to be willing and able to do your own ETL and design/build featurization.
 </li>
 <li>
 Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
 </li>
 <li>
 Runs A/B tests to draw conclusions on the impact of your team&rsquo;s work and communicates results to peers and leaders
 </li>
 <li>
 Communicates with partners to ensure successful delivery and integration of DS solutions.
 </li>
 <li>
 Proactively researches, explores, and enables new AI/ML technologies. Keeps up with the new developments in academia and industry and considers possible extensions to solve Intuit customer problems.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 MS or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.).
 </li>
 <li>
 2+ years of experience with data science for PhD and 5+ years for Masters.
 </li>
 <li>
 Experience in modern advanced analytical tools and programming languages such as R or Python with scikit-learn.
 </li>
 <li>
 Efficient in SQL, Hive, or SparkSQL, etc.
 </li>
 <li>
 Comfortable in Linux environment
 </li>
 <li>
 Experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining.
 </li>
 <li>
 Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences
 
 
 </li>
 </ul>
 Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
</div>

Senior AI Scientist

<div>
 Requisition Id: 1651171
 
 
 As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom. At EY, we don't just focus on who you are now, but who you can become. We believe that it&rsquo;s your career and &lsquo;It&rsquo;s yours to build&rsquo; which means potential here is limitless and we'll provide you with motivating and fulfilling experiences throughout your career to help you on the path to becoming your best professional self.
 
 
 
 The opportunity
 
 : Associate Director-NAT-Markets-CBS - MKT - Digital Products &amp; Solutions - Bangalore
 
 
 
 CBS - MKT - Digital Products &amp; Solutions :
 
 
 
 Our Markets team focuses on providing account teams with the support they need to help drive revenue growth. Our "account-centric" approach to serving clients starts with knowing about their business and providing tools and enablers to provide consistency on how we identify and align our services and solutions to our clients' most pressing issues. We deliver services through one or more of our four global service lines: Assurance, Consulting, Strategy and Transactions and Tax. Our Markets team comprises of Executive Management, Business Development and Brand Media &amp; Communication (BMC).
 
 
 By following EY methodologies, executing on guidance, and leveraging tools and judicious programs, we bring the necessary rigor to our engagements. And by accessing our latest EY insights, solutions and client conversation tools, we have more meaningful conversations with our clients to help shape their thinking and generate additional value creation.
 
 
 We assist the executive management in overseeing the firm&rsquo;s operations. Key responsibilities includes:
 
 
 <ul>
 <li>
 Liaising with internal stakeholders to identify priority areas, growth driver solutions, review account plans and to drive growth and market enablement initiatives
 </li>
 <li>
 Conceptualising and implementing firm-wide market campaigns to link and align PAN India teams on focus solutions, growth opportunities, etc
 </li>
 <li>
 Monitoring firm revenue and pipeline and facilitating management review
 </li>
 <li>
 Preparing GTM materials for the firm
 </li>
 <li>
 Preparing reports for management review
 
 
 </li>
 </ul>
 
 Your Key Responsibilities
 
 
 
 
 Technical Excellence
 
 
 
 The Senior Data Scientist will lead the design, development, and deployment of advanced analytics and AI models across EY&rsquo;s product and platform ecosystem. This role requires a strong mix of hands-on modeling skills, applied AI knowledge, and product thinking to deliver real business impact through data. The role will partner closely with product, engineering, and business teams to embed intelligence and automation within EY&rsquo;s core technology assets. Key Responsibilities: Lead development of AI and ML models for applications across risk, compliance, assurance, and advisory domains. Translate business challenges into well-defined data science problems and prototype solutions rapidly. Design, train, and evaluate predictive, generative, and optimization models using state-of-the-art techniques. Collaborate with data engineers to operationalize ML pipelines in cloud-native environments (Azure ML, AWS Sagemaker, Databricks, etc.). Contribute to design of data architecture, feature stores, and reusable model components. Work with product managers and UX teams to ensure outputs are explainable, actionable, and aligned to user needs. Stay current with advances in GenAI, NLP, and agentic systems, and pilot them within relevant EY products. Contribute to model governance, documentation, and compliance with firmwide AI ethics and security standards. Key Requirements: 8&ndash;12 years of experience in data science, AI, or applied machine learning roles, with proven experience deploying models in production. Strong foundation in statistics, machine learning, and deep learning frameworks (TensorFlow, PyTorch, Scikit-learn). Proficiency in Python and SQL; familiarity with cloud-based ML tooling (Azure ML, Databricks, AWS Sagemaker, or GCP Vertex AI). Experience working on structured and unstructured data, including text and document intelligence. Exposure to GenAI, LLM fine-tuning, or prompt-engineering frameworks preferred. Strong analytical mindset, communication skills, and ability to translate business objectives into technical design. Advanced degree (Master&rsquo;s or PhD) in Computer Science, Data Science, Mathematics, or related field preferred. Why EY: At EY, data science is central to building intelligent, trustworthy, and scalable products. This role offers the opportunity to apply advanced AI and analytics to solve high-impact business problems &mdash; shaping the future of digital, data-driven client service delivery.
 
 
 
 Skills And Attributes
 
 
 
 
 To qualify for the role you must have
 
 
 
 
 Qualification
 
 
 
 <ul>
 <li>
 Bachelor of Technology in Computer Science
 </li>
 <li>
 Master of Technology in Computer Science or equivalent
 </li>
 <li>
 Master of Science in Data Science
 </li>
 <li>
 PhD in Computer Science (big plus)
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 Data Engineering (4+ years)
 </li>
 <li>
 Data Analysis (6+ years)
 </li>
 <li>
 Machine Learning (8+ years)
 </li>
 <li>
 Artificial Intelligence (3+ years)
 </li>
 <li>
 Natural Language Processing (2+ years)
 </li>
 <li>
 Full Stack Development (4+ years)
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful and able to sustain postivie energy, while being adaptable and creative in their approach.
 
 
 
 What We Offer
 
 
 
 With more than 200,000 clients, 300,000 people globally and 33,000 people in India, EY has become the strongest brand and the most attractive employer in our field, with market-leading growth over compete. Our people work side-by-side with market-leading entrepreneurs, game- changers, disruptors and visionaries. As an organisation, we are investing more time, technology and money, than ever before in skills and learning for our people. At EY, you will have a personalized Career Journey and also the chance to tap into the resources of our career frameworks to better know about your roles, skills and opportunities.
 
 
 EY is equally committed to being an inclusive employer and we strive to achieve the right balance for our people - enabling us to deliver excellent client service whilst allowing our people to build their career as well as focus on their wellbeing.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
 
 
 Join us in building a better working world. Apply now.
</div>

Associate Director - Markets - NAT - CBS - MKT - Digital Products & Solutions - Bangalore

Pratt & Whitney

<div>
 
 Date Posted:
 
 
 
 2025-12-16
 
 
 
 Country:
 
 
 
 India
 
 
 
 Location:
 
 
 
 North Gate Business Park Sy.No 2/1, and Sy.No 2/2, KIAL Road, Venkatala Village, Chowdeshwari Layout, Yelahanka, Bangalore, Karnataka 560064
 
 
 
 Position Role Type:
 
 
 
 Unspecified
 
 
 
 Who we are:
 
 
 
 Pratt &amp; Whitney, an RTX business, is working to once again transform the future of flight designing, building and servicing engines unlike any the world has ever seen. And because transformation begins from within, we&rsquo;re seeking the people to drive it. So, calling all curious.
 
 
 Come ready to explore and you&rsquo;ll find a place where your talent takes flight &ndash; beyond the borders of title, a country or your comfort zone. Bring your passion and commitment and we&rsquo;ll welcome you into a tight-knit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that&rsquo;s evolving fast to the future.
 
 
 At Pratt &amp; Whitney, the difference you make is on display every day. Just look up.
 
 
 Are you ready to go beyond?
 
 
 
 What are our expectations:
 
 
 
 The DPHM team is looking for an innovative experienced senior engine performance engineer and data scientist that can apply numerical methods to complex turbomachinery systems operating in service. The candidate will develop solutions that provide automated diagnostic and prognostic capabilities to identify shifts/deterioration in the engine&rsquo;s major mechanical systems, such as the following:
 
 
 <ul>
 <li>
 Overall Engine Performance
 </li>
 <li>
 Oil System Health
 </li>
 <li>
 Fuel System Health
 </li>
 <li>
 Start System Health
 </li>
 <li>
 Vibration
 
 
 </li>
 </ul>
 Additionally, the candidate will work actively with the Ground Systems engineering and Customer Service teams, in optimizing end to end data pipeline performance and introduction of new engine health management solutions.
 
 
 
 What You Will Do:
 
 
 
 <ul>
 <li>
 Develop and implement advanced AI and machine learning models for engine condition monitoring, fault detection, and predictive maintenance.
 </li>
 <li>
 Apply machine learning techniques such as classification, clustering, anomaly detection, and time series forecasting to analyze engine performance and operational data.
 </li>
 <li>
 Collaborate with engineering and data teams to integrate AI/ML insights into digital engine diagnostics and prognostics platforms.
 </li>
 <li>
 Create and optimize scalable data pipelines and workflows for processing large volumes of sensor and operational data.
 </li>
 <li>
 Design and maintain interactive dashboards and visualization tools (Power BI, Matplotlib, HighCharts) to communicate AI-driven insights effectively.
 </li>
 <li>
 Perform exploratory data analysis to identify trends, patterns, and actionable insights using statistical and machine learning methods.
 </li>
 <li>
 Work with relational databases (MS SQL, MySQL, PostgreSQL) and big data technologies (Databricks, AWS) to manage, clean, and preprocess datasets.
 </li>
 <li>
 Document machine learning workflows, model evaluation metrics, and deployment processes for reproducibility and continuous improvement.
 
 
 </li>
 </ul>
 
 Qualifications You Must Have:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Aerospace Engineering, Mechanical Engineering, or a related field.
 </li>
 <li>
 Minimum 5-8 years of experience applying AI and machine learning in an engineering or industrial setting.
 </li>
 <li>
 Strong programming skills in Python and/or R, with experience using machine learning libraries and frameworks such as Scikit-learn, TensorFlow, Keras, or PyTorch.
 </li>
 <li>
 Proficient in SQL and experience working with relational databases (MS SQL, MySQL, PostgreSQL).
 </li>
 <li>
 Experience building and deploying machine learning models in cloud environments, preferably AWS (SageMaker, Lambda, S3).
 </li>
 <li>
 Knowledge of data engineering tools and platforms such as Databricks, Airflow, or similar ETL/ELT frameworks.
 </li>
 <li>
 Skilled in data visualization using tools like Power BI, Matplotlib, and HighCharts.
 </li>
 <li>
 Understanding of statistical analysis, hypothesis testing, and time series analysis.
 </li>
 <li>
 Strong communication skills with the ability to present complex AI/ML concepts to technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Beneficial Skills:
 
 
 
 <ul>
 <li>
 Familiarity with turbomachinery or aerospace data is a plus but not mandatory.
 </li>
 <li>
 Experience with predictive maintenance and condition-based monitoring systems.
 </li>
 <li>
 Understanding of digital twin concepts and their application in aerospace or industrial settings.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Long-term deferred compensation programs
 </li>
 <li>
 Daycare for young children
 </li>
 <li>
 Advancement programs to enhance education skills
 </li>
 <li>
 Flexible work schedules
 </li>
 <li>
 Leadership and training programs
 </li>
 <li>
 Comprehensive benefits, savings, and pension plans
 </li>
 <li>
 Financial support for parental leave
 </li>
 <li>
 Reward programs for outstanding work
 
 
 </li>
 </ul>
 
 RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.
 
 
 
 
 Privacy Policy and Terms:
 
 
 
 Click on this link to read the Policy and Terms
</div>

Senior Engineer, Data Analytics

HARMAN India

<div>
 
 Introduction: A Career at HARMAN Automotive
 
 
 
 We&rsquo;re a global, multi-disciplinary team that&rsquo;s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career.
 
 
 <ul>
 <li>
 Engineer audio systems and integrated technology platforms that augment the driving experience
 </li>
 <li>
 Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence.
 </li>
 <li>
 Advance in-vehicle infotainment, safety, efficiency, and enjoyment
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 We are seeking a highly skilled and results-oriented Data Scientist to join our team, with a strong foundation in statistical modelling, machine learning, and data engineering collaboration. The ideal candidate will have a proven track record of delivering predictive and descriptive analytics use cases in the finance domain that have led to measurable improvements in profitability, revenue growth, and operational efficiency.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Collaborate closely with finance stakeholders to translate business problems into data science solutions with quantifiable impact.
 </li>
 <li>
 Collaborate with stakeholders to understand business challenges and translate them into data-driven solutions.
 </li>
 <li>
 Develop and deploy predictive, descriptive, and prescriptive models to support finance-led initiatives (e.g. pricing, risk scoring, demand forecasting, customer segmentation).
 </li>
 <li>
 Write clean, efficient, and reproducible code in Python, R, or Scala for analytics and modelling tasks.
 </li>
 <li>
 Perform exploratory data analysis, data wrangling, feature engineering, and validation of data quality and integrity.
 </li>
 <li>
 Generate actionable insights and dashboards that drive decision-making in areas such as revenue growth, margin improvement, and cost optimization.
 </li>
 <li>
 Analyze large datasets to identify trends, patterns, and opportunities using statistical and machine learning techniques!
 </li>
 <li>
 Communicate technical results to non-technical audiences through compelling visualizations and storytelling.
 </li>
 <li>
 Partner with data engineers to define and design robust data pipelines and reusable data assets that power analytics and machine learning.
 </li>
 <li>
 Continuously evaluate and implement new modelling techniques, tools, and technologies to improve effectiveness and efficiency.
 
 
 </li>
 </ul>
 
 What You Need To Be Successful
 
 
 
 <ul>
 <li>
 3+ years of experience in data science roles, preferably with a focus on finance use cases.
 </li>
 <li>
 Strong proficiency in Python (preferred), R, SQL, and experience with libraries such as Pandas, Scikit-learn, TensorFlow, or PyTorch.
 </li>
 <li>
 Solid experience with statistical modelling, machine learning algorithms, and time-series forecasting.
 </li>
 <li>
 Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) and big data tools (e.g., Spark, Databricks).
 </li>
 <li>
 Experience working alongside data engineers and understanding of data pipeline architecture and data governance.
 </li>
 <li>
 Ability to connect the dots between data insights and financial impact (e.g., ROI, profitability, growth metrics).
 </li>
 <li>
 Excellent communication skills with the ability to present complex data insights to non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Bonus Points if You Have
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in data science, Computer Science, Statistics, Mathematics, or a related field.
 </li>
 <li>
 Experience with Finance
 </li>
 <li>
 Experience with SAP Finance data, good understanding of SAP Finance data.
 
 
 </li>
 </ul>
 
 What Makes You Eligible
 
 
 
 <ul>
 <li>
 This position requires up to 20% of travel.
 </li>
 <li>
 Be willing to work in Bangalore, India.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Flexible work environment, allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location.
 </li>
 <li>
 Access to employee discounts on world-class products (JBL, HARMAN Kardon, AKG, and more)
 </li>
 <li>
 Extensive training opportunities through our own HARMAN University
 </li>
 <li>
 Competitive wellness benefits
 </li>
 <li>
 Tuition reimbursement
 </li>
 <li>
 &ldquo;Be Brilliant&rdquo; employee recognition and rewards program.
 </li>
 <li>
 An inclusive and diverse work environment that fosters and encourages professional and personal development.
 </li>
 </ul>
</div>

Specialist - Finance Data Scientist

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