102 Dash Jobs

Job Summary: 7+ years of Software development experience Good Go implementation capabilities. Understanding of different design principles. Good understanding of Linux OS - memory, instruction processing, filesystem, system daemons etc. Fluent with linux command line and shell scripting. Working knowledge of servers (nginx, apache, etc.), proxy-servers, and load balancing. Understanding of service based architecture and microservices. Working knowledge of AV codecs, MpegTS and adaptive streaming like Dash, HLS. Good understanding of computer networking concepts. Working knowledge of relational Databases. Good analytical and debugging skills. Knowledge of git or any other source code management. Good to Have Skills: Working knowledge of Core Java and Python are preferred. Exposure to cloud computing is preferred. Exposure to API or video streaming performance testing is preferred. Preferred experience in Elasticsearch and Kibana (ELK Stack) Proficiency in at least one modern web front-end development framework such as React JS will be a bonus Preferred experience with messaging systems like RabbitMQ

About the Role: 11 The Team : As a member of the EDO, Collection Platforms & AI - Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. What's in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment tools: Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor's) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications What's In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, you are part of a dynamic team of talented individuals working with cutting-edge technologies. Our purpose is to bring about real positive changes in an increasingly virtual world, transcending generational gaps and disruptions of the future. We are currently seeking .NET C# Professionals with expertise in the following areas: We are looking for a proactive and experienced Full Stack Developer with a focus on developing cloud-native applications within the Microsoft Azure ecosystem. The ideal candidate will have a strong background in building scalable backend systems and visually-rich front-end applications using technologies like React or Dash. Your role will involve architecting and deploying solutions using Azure services such as Azure Databricks, SQL Server, Function Apps, and Container Services (AKS/ACI). **Key Responsibilities:** - Design, develop, and deploy full-stack web applications on Microsoft Azure. - Develop interactive user interfaces using React, Dash, or other front-end frameworks for data-rich web applications. - Build scalable data pipelines and integrations using Azure Databricks. - Develop serverless backend components using Azure Function Apps and RESTful APIs. - Manage and optimize relational databases using SQL Server. - Containerize and orchestrate applications using Docker and Azure Kubernetes Service (AKS) or Azure Container Instances (ACI). - Collaborate with team members and stakeholders to design functional and maintainable code. - Implement and maintain CI/CD pipelines using Azure DevOps. - Ensure performance, security, and scalability of applications. - Participate in Agile ceremonies, code reviews, and design sessions. - Stay updated on emerging technologies and industry trends and apply them to operations. **Qualifications:** - Bachelor's degree in computer science, engineering, or a related field. - 10 to 12 years of experience as a Tech Lead in building enterprise applications. - Proficiency in .NET (C#) and React (Angular, Vue, etc.). - Strong software engineering fundamentals and commitment to clean code. - Experience with backend programming languages and databases. - Proficient in code versioning tools like Git. - Ability to manage hosting environments and scale applications. - Experience with Azure cloud environments and strong problem-solving skills. **Technical Skills:** - **Frontend Development:** Strong experience with React.js or Dash (Plotly), JavaScript/TypeScript, HTML5, CSS3. - **Backend Development:** .NET Core, Python, Node.js, API development using RESTful services. - **Cloud & DevOps:** Proficiency in Microsoft Azure services like Azure Databricks, Function Apps, SQL Server, Container Services, Azure DevOps, etc. Familiarity with Azure Monitor, Application Insights, Key Vault. - **Containerization:** Docker, Kubernetes (preferably AKS). At YASH, you have the opportunity to shape your career while working in a collaborative team environment. We believe in continuous learning, unlearning, and relearning, supported by career-oriented skilling models and technology. Our workplace is based on the principles of flexible work arrangements, free spirit, emotional positivity, agile self-determination, trust, transparency, open collaboration, support for business goals, and a stable employment with a great atmosphere and ethical corporate culture.,

Bharti Airtel is seeking an experienced Cloud Solutions Specialist with a strong background in Edge computing, Content Delivery Platforms, Systems & Network Management. This role presents a unique opportunity to work on cutting-edge software and cloud services as part of the core technical team responsible for CDN Infrastructure Implementation, Traffic Management, Capacity Planning, Configurations, Performance Monitoring, and operational troubleshooting. Our work revolves around innovative technologies that span the entire value chain, including Product, Engineering, Content Operations, Content Delivery Network, and core Infrastructure. We prioritize customer-centric approaches and value global perspectives in all our endeavors. If you thrive in a people-centric environment and are passionate about creating value, developing products, and leveraging the latest technologies, this role is tailored for you. Join us in shaping the development of our next-generation content delivery platform! **Roles And Responsibilities** - Demonstrate exceptional technical proficiency in HTTP/CDN/VOD technologies - Utilize tools like traceroute, Curl, MTR, and other diagnostic tools to troubleshoot issues effectively - Design CDN solutions based on customer requirements, document them, oversee implementation with CDN operational teams and vendors, and provide progress updates to stakeholders - Develop expertise in Content Delivery solutions to ensure availability alongside the IP/MPLS Backbone and Peering & Transit networks - Create engineering documents for implementation, configuration changes, software upgrades, and new CDN component deployments - Contribute to the evolution of CDN roadmap in alignment with Airtel's strategy and business goals - Monitor CDN performance, analyze logs, and maintain KPIs as per SLAs - Possess knowledge of video encoding codecs and protocols, as well as audio/video packaging such as HLS, DASH, LL-HLS, etc. - Familiarity with manifest and segment structure and tags - Provide support for CDN-related operational issues and ensure high availability of CDN Applications & Infrastructure - Drive operational efficiency and industrialization initiatives to enhance overall performance Join us at Bharti Airtel and be part of a dynamic team shaping the future of content delivery platforms! #ADL,

Role & responsibilities Impact Based Forecasting Design and implement clear, accurate, and engaging visualizations that support IBF platforms, dashboards, and reporting systems. Collaborate with cross-functional teams (data scientists, domain experts, UI/UX designers, and developers) to understand visualization needs and user goals as they apply to dashboards, reports, and interactive visualizations. Structure and organize complex data and indicators into meaningful information hierarchies that support storytelling and quick interpretation. Integrate visualizations into web applications, dashboards, or interactive platforms using frameworks like React, Vue, or others as needed. Prototype and iterate visual elements based on user feedback and usability testing. Ensure visualizations respect accessibility, privacy, and data governance considerations. Capacity Building and Stakeholder Engagement Facilitate training programs for team members and stakeholders, focusing on RIMES policies, regulations, and the use of forecasting tools. Develop and implement a self-training plan to enhance personal expertise, obtaining a trainer certificate as required. Prepare and implement training programs to enhance team capacity and submit training outcome reports. Reporting Prepare technical reports, progress updates, and outreach materials for stakeholders. Maintain comprehensive project documentation, including strategies, milestones, and outcomes. Capacity-building workshop materials and training reports. Other Responsibilities Utilize AI skills to assist in system implementation plans and decision support system (DSS) development. Utilize skills to assist in system implementation plans and decision support system (DSS) development. Assist in 24/7 operational readiness for client early warning systems such as SOCs, with backup support from RIMES Headquarters. Undertake additional tasks as assigned by the immediate supervisor or HR manager based on recommendations from RIMES technical team members and organizational needs. The above responsibilities are illustrative and not exhaustive. Undertake any other relevant tasks that may be needed from time to time. Preferred candidate profile Minimum of 2 years of experience in Data Visualization. Minimum of 2 years of experience in data engineering, analytics, or IT systems for disaster management, meteorology, or climate services. Experience in multi-stakeholder projects and facilitating capacity-building programs. Information Design: Ability to structure and organize complex information in a way that is easily digestible and understandable. Programming Proficiency: JavaScript: D3.js, Chart.js, Highcharts, Leaflet/Mapbox (for geospatial visualizations). Python: Plotly, Dash, Bokeh, Seaborn, or Matplotlib. Design Tools: Working knowledge of tools like Figma, Adobe XD, or Sketch is a plus. Familiarity with early warning systems, disaster risk frameworks, and sector-specific IBF requirements is a strong asset. Excellent communication skills, especially in multidisciplinary and multicultural team settings. Proficiency in technical documentation and user training. Experience in multi-stakeholder projects and facilitating capacity-building programs. Understanding of Data Visualization Best Practices: Deep knowledge of effective visualization types, common pitfalls, and ethical considerations (e.g., avoiding misleading visuals, ensuring accuracy, and respecting privacy). Ability to craft compelling narratives with data visualizations. Contract Duration The contract will initially be for one year and may be extended based on the satisfactory completion of a 180-day probationary period and subsequent annual performance reviews. How to Apply Interested candidates should send your application letter, resume, salary expectation and 2 references to rimeshra-india@rimes.int by midnight of 1 October 2025, Bangkok time. Please state Visualization Expert Impact-Based Forecasting: Your Name ” the Subject line of the email. Only short-listed applicants will be contacted. Ms. Dusadee Padungkul Head of Operations and Programs Regional Integrated Multi-Hazard Early Warning System AIT Campus, 58 Moo 9 Paholyothin Rd., Klong 1, Klong Luang, Pathumthani 12120 Thailand. RIMES promotes diversity and inclusion in the workplace. Well-qualified applicants particularly women are encouraged to apply.

Remote We are seeking a talented and experienced Python Developer to join our team and contribute to our Sales Territory Management application. This role is crucial for developing and enhancing new features that empower sales teams and leadership to make informed, data-driven decisions, improving resource allocation and ultimately driving growth. The ideal candidate has a strong passion for data visualization and building intuitive user interfaces. Responsibilities Design, develop, and maintain new features for our internal sales territory management platform using Python. Utilize data visualization libraries such as Plotly to create insightful and interactive webpages. Collaborate with our business partners to translate UI/UX mockups and user stories into functional, high-quality code. Write and optimize complex SQL queries to extract and manipulate data. Participate in code reviews, testing, and debugging to ensure the stability and performance of the application. Stay up-to-date with industry trends and best practices in Python development, data visualization, and UI/UX design. Skills and Qualifications Proven experience as a Python Developer. Strong expertise in a data visualization library, with a preference for Plotly Enterprise or experience with its alternatives (Plotly Dash, Altair, Bokeh, Streamlit). Solid understanding of database concepts and advanced proficiency in SQL. Familiarity with the principles of UI/UX design and a commitment to creating user-friendly interfaces. Excellent problem-solving skills and a collaborative mindset. Experience with version control systems (e.g., Git)

The role involves designing and developing interactive dashboards using Python and Dash, as well as implementing data visualizations to convey insights and trends to users. You will be responsible for building user-friendly interfaces for data exploration, integrating dashboards with databases and APIs, and ensuring functionality and reliability through testing and debugging. Collaboration with stakeholders to understand their needs and translate them into dashboard requirements is an essential part of the role. Additionally, maintaining clear documentation of the dashboard development process is required. The ideal candidate should have a strong proficiency in Python, including experience with Dash, Plotly, and other relevant libraries such as Pandas and Flask. An understanding of data analysis techniques and the ability to interpret data trends is crucial. Knowledge of web development concepts like HTML, CSS, and JavaScript, as well as experience with frameworks like React.js, can be beneficial. Experience with databases and SQL for data retrieval and management is also necessary. Strong communication skills are essential for effective collaboration with team members and stakeholders. Problem-solving skills and the ability to troubleshoot technical issues are required, along with analytical skills to analyze data, identify patterns, and draw meaningful conclusions. This is a full-time position that requires in-person work. For further inquiries, please contact the employer at +91 9731312634.,

About The Role Skill required: Delivery - Social Media Monitoring & Analytics Designation: I&F Decision Sci Practitioner Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Were Accenture Marketing Operations. Were the global managed services arm of Accenture Interactive. We sit in the Operations Business to take advantage of the industrialized run capabilities leveraging investments from Accenture Operations.Our quest is to activate the best experiences on the planet by driving value across every customer interaction to maximize marketing performance. We combine deep functional and technical expertise to future-proof our clients business while accelerating time-to-market and operating efficiently at scale.We are digital professionals committed to providing innovative, end-to-end customer experience solutions focusing on operating marketing models that help businesses transform and excel in the new world, with an ecosystem that empowers our clients to implement the changes necessary to support the transformation of their businesses.Act of monitoring and Analyzing Social Media activities, including opportunity analysis & initiatives definition, roadmap formulation & vendor selection, social intelligence technologies, business intelligence, and service set-up & management. What are we looking for? Strong understanding of social media platforms and social analytics / ad platforms Primary skillset should be storytelling, social insight generation and presentation with 1-3 years of experience Experience in social listening and sentiment analysis Ability to draw relevant insights from data and visualize them on slides Good PowerPoint Skills Excellent communication skills (verbal and written) Ability to understand the business context Experience of working with onshore teams Strong team player and excellent problem-solving skills Ability to work in a global collaborative team environment Attention to detail and ability to work in high pressure environment Proficient in social listening and sentiment analysis, trend identification and translating data into actionable insights. Familiarity with platforms like Dash social, Talkwalker, Sprinklr, Brandwatch and Hootsuite preferred Up to date on social media platforms and reporting suite (Facebook, Instagram, Pinterest, TikTok etc.) GA4, Looker, SQL/Python experience good to have Strong knowledge of digital marketing and customer analytics preferred Experience in CPG, Retail, Beauty preferred Roles and Responsibilities: Understand audience behavior and preferences through data analysis. Benchmark performance against competitors to identify opportunities or threats Create regular reports and dashboards to share performance trends, identify what s working, and highlight areas of concern Track KPIs like engagement rate, reach, impressions, follower growth, click-through rates, and conversions across platforms In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualification Any Graduation

Job Posting TitleSR. DATA SCIENTIST Band/Level5-2-C Education ExperienceBachelors Degree (High School +4 years) Employment Experience5-7 years At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview Solves complex problems and help stakeholders make data- driven decisions by leveraging quantitative methods, such as machine learning. It often involves synthesizing large volume of information and extracting signals from data in a programmatic way. Roles & Responsibilities Key Responsibilities Design, train, and evaluate supervised & unsupervised models (regression, classification, clustering, uplift). Apply automated hyperparameter optimization (Optuna, HyperOpt) and interpretability techniques (SHAP, LIME). Perform deep exploratory data analysis (EDA) to uncover patterns & anomalies. Engineer predictive features from structured, semistructured, and unstructured data; manage feature stores (Feast). Ensure data quality through rigorous validation and automated checks. Build hierarchical, intermittent, and multiseasonal forecasts for thousands of SKUs. Implement traditional (ARIMA, ETS, Prophet) and deeplearning (RNN/LSTM, TemporalFusion Transformer) approaches. Reconcile forecasts across product/category hierarchies; quantify accuracy (MAPE, WAPE) and bias. Establish model tracking & registry (MLflow, SageMaker Model Registry). Develop CI/CD pipelines for automated retraining, validation, and deployment (Airflow, Kubeflow, GitHub Actions). Monitor data & concept drift; trigger retuning or rollback as needed. Design and analyze A/B tests, causal inference studies, and Bayesian experiments. Provide statisticallygrounded insights and recommendations to stakeholders. Translate business objectives into datadriven solutions; present findings to exec & nontech audiences. Mentor junior data scientists, review code/notebooks, and champion best practices. Desired Candidate Minimum Qualifications M.S. in Statistics (preferred) or related field such as Applied Mathematics, Computer Science, Data Science. 5+ years building and deploying ML models in production. Expertlevel proficiency in Python (Pandas, NumPy, SciPy, scikitlearn), SQL, and Git. Demonstrated success delivering largescale demandforecasting or timeseries solutions. Handson experience with MLOps tools (MLflow, Kubeflow, SageMaker, Airflow) for model tracking and automated retraining. Solid grounding in statistical inference, hypothesis testing, and experimental design. Preferred / NicetoHave Experience in supplychain, retail, or manufacturing domains with highgranularity SKU data. Familiarity with distributed data frameworks (Spark, Dask) and cloud data warehouses (BigQuery, Snowflake). Knowledge of deeplearning libraries (PyTorch, TensorFlow) and probabilistic programming (PyMC, Stan). Strong datavisualization skills (Plotly, Dash, Tableau) for storytelling and insight communication. Competencies ABOUT TE CONNECTIVITY TE Connectivity plc (NYSETEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 9,000 engineers, working alongside customers in approximately 130 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more atwww.te.com and onLinkedIn , Facebook , WeChat, Instagram and X (formerly Twitter). WHAT TE CONNECTIVITY OFFERS: We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority! Competitive Salary Package Performance-Based Bonus Plans Health and Wellness Incentives Employee Stock Purchase Program Community Outreach Programs / Charity Events IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com . If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities. Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.

Overview The ESG & Climate Carbon Markets Data Science team builds intelligent, scalable AI applications that power MSCI’s carbon and climate analytics platforms. In this role, you will bring cutting-edge AI/ML techniques to production, including agentic modelling, LLM integration, time series forecasting, and carbon-specific prediction systems. You will collaborate with data scientists, engineers, and product owners to transform ideas into deployable tools. Responsibilities Design, build, and deploy AI-powered applications and forecasting systems in Python Leverage LLMs, agentic frameworks (e.g., Vertyex AI, LangChain), and generative AI to automate research and analysis Develop time series and ML models (e.g., XGBoost, LSTM) to forecast carbon prices and project outcomes Build interactive user interfaces using Dash, Streamlit, or React Maintain cloud-native workflows in GCP (Vertex AI, Cloud Run/Job) Ensure code quality through unit testing and infrastructure practices (Terraform a plus) Collaborate with cross-functional teams to translate business needs into technical solutions Qualifications Strong Python skills with production-grade development experience Experience using LLMs and agentic modelling frameworks Knowledge of machine learning pipelines and cloud tools (GCP preferred) Hands-on work with forecasting models and unstructured data processing Strong UI development experience with Dash, Streamlit, or React Familiarity with CI/CD and infrastructure-as-code (Terraform is a plus) Ability to work independently while aligning with product strategy and data governance What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

About The Role Skill required: Delivery - Social Media Monitoring & Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years What would you do? Were Accenture Marketing Operations. Were the global managed services arm of Accenture Interactive. We sit in the Operations Business to take advantage of the industrialized run capabilities leveraging investments from Accenture Operations.Our quest is to activate the best experiences on the planet by driving value across every customer interaction to maximize marketing performance. We combine deep functional and technical expertise to future-proof our clients business while accelerating time-to-market and operating efficiently at scale.We are digital professionals committed to providing innovative, end-to-end customer experience solutions focusing on operating marketing models that help businesses transform and excel in the new world, with an ecosystem that empowers our clients to implement the changes necessary to support the transformation of their businesses.Act of monitoring and Analyzing Social Media activities, including opportunity analysis & initiatives definition, roadmap formulation & vendor selection, social intelligence technologies, business intelligence, and service set-up & management. What are we looking for? Strong understanding of social media platforms and social analytics / ad platforms Primary skillset should be storytelling, social insight generation and presentation with 3-5 years of experience Experience in social listening and sentiment analysis Ability to draw relevant insights from data and visualize them on slides Good PowerPoint Skills Excellent communication skills (verbal and written) Ability to understand the business context Experience of working with onshore teams Strong team player and excellent problem-solving skills Ability to work in a global collaborative team environment Attention to detail and ability to work in high pressure environment Proficient in social listening and sentiment analysis, trend identification and translating data into actionable insights. Familiarity with platforms like Dash social, Talkwalker, Sprinklr, Brandwatch and Hootsuite preferred Up to date on social media platforms and reporting suite (Facebook, Instagram, Pinterest, TikTok etc.) GA4, Looker, SQL/Python experience good to have Strong knowledge of digital marketing and customer analytics preferred Experience in CPG, Retail, Beauty preferred Roles and Responsibilities: Understand audience behavior and preferences through data analysis. Benchmark performance against competitors to identify opportunities or threats Create regular reports and dashboards to share performance trends, identify what s working, and highlight areas of concern Track KPIs like engagement rate, reach, impressions, follower growth, click-through rates, and conversions across platforms In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualification Any Graduation

About The Role Skill required: Delivery - Social Media Monitoring & Analytics Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years What would you do? Were Accenture Marketing Operations. Were the global managed services arm of Accenture Interactive. We sit in the Operations Business to take advantage of the industrialized run capabilities leveraging investments from Accenture Operations.Our quest is to activate the best experiences on the planet by driving value across every customer interaction to maximize marketing performance. We combine deep functional and technical expertise to future-proof our clients business while accelerating time-to-market and operating efficiently at scale.We are digital professionals committed to providing innovative, end-to-end customer experience solutions focusing on operating marketing models that help businesses transform and excel in the new world, with an ecosystem that empowers our clients to implement the changes necessary to support the transformation of their businesses.Act of monitoring and Analyzing Social Media activities, including opportunity analysis & initiatives definition, roadmap formulation & vendor selection, social intelligence technologies, business intelligence, and service set-up & management. What are we looking for? Strong understanding of social media platforms and social analytics / ad platforms Primary skillset should be storytelling, social insight generation and presentation with 3-5 years of experience Experience in social listening and sentiment analysis Ability to draw relevant insights from data and visualize them on slides Good PowerPoint Skills Excellent communication skills (verbal and written) Ability to understand the business context Experience of working with onshore teams Strong team player and excellent problem-solving skills Ability to work in a global collaborative team environment Attention to detail and ability to work in high pressure environment Proficient in social listening and sentiment analysis, trend identification and translating data into actionable insights. Familiarity with platforms like Dash social, Talkwalker, Sprinklr, Brandwatch and Hootsuite preferred Up to date on social media platforms and reporting suite (Facebook, Instagram, Pinterest, TikTok etc.) GA4, Looker, SQL/Python experience good to have Strong knowledge of digital marketing and customer analytics preferred Experience in CPG, Retail, Beauty preferred Roles and Responsibilities: Understand audience behavior and preferences through data analysis. Benchmark performance against competitors to identify opportunities or threats Create regular reports and dashboards to share performance trends, identify what s working, and highlight areas of concern Track KPIs like engagement rate, reach, impressions, follower growth, click-through rates, and conversions across platforms In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualification Any Graduation

You should have experience in designing and implementing enterprise-grade software. You must have a strong knowledge of Java for Android and be familiar with mobile development challenges. Additionally, familiarity with Android APIs and libraries is required. Experience in working on the React Native framework is a must, as well as proficiency in HTML5, CSS3, JavaScript, and TypeScript. You should have practical experience in building application UI using React Native and using REST APIs in Android applications. An understanding of code obfuscation and encryption techniques is preferred, along with knowledge of distributed multi-tier infrastructure. Nice to have skills include working independently and in cooperation with others, experience with ExoPlayer or any OTT video players, understanding of multimedia content delivery protocols such as HLS and DASH, experience using media players on various mobile platforms, proficiency in Kotlin, architecture skills, experience with framework/library development, familiarity with git, GitHub, and Git Flow, understanding of UI/UX implementation on Android, and knowledge of automated testing on Android. Key Skills: Model-View-View-Model (MVVM), RxJava, iOS App Development, HTML/CSS, React Native, JavaScript, TypeScript, RESTful APIs, HLS, DASH, GitHub, User Interface (UI) Development, and Android Testing.,

Role & responsibilities As an AI Engineer , you will be at the forefront of building intelligent systems that power our video pipelinefrom content ingestion and encoding to automated quality checks and delivery at scale . Your work will shape how films, shows, and live content travel from partners across the world into the hands of our global audience. You will design and deploy AI-driven automation for: End-to-end video content encoding and ingestion . Seamless delivery integrations (Aspera, Media Shuttle, FTP, and more). Genre mapping and metadata automation to ensure discoverability. Video quality review systems powered by machine learning. Closed caption (CC) automation including multilingual generation. Audio-Video-CC mismatch detection to guarantee flawless playback. Every improvement you make will ripple across millions of users, elevating how they experience our platform. Preferred candidate profile Build AI models and automation pipelines for video encoding, ingestion, and quality assurance. Integrate with content delivery platforms (Aspera, Media Shuttle, FTP, etc.) for frictionless ingestion. Automate metadata classification and genre mapping to streamline content discoverability. Develop AI systems to generate, validate, and synchronize closed captions (including multilingual). Create intelligent tools for audio/video/CC alignment and mismatch detection. Partner with content, operations, and engineering teams to scale automation globally. Ensure systems are production-grade, reliable, and capable of handling thousands of titles monthly. What Youll Bring Strong background in AI/ML, computer vision, NLP, or multimedia systems . Proficiency in ML frameworks (TensorFlow, PyTorch) and programming languages (Python, C++/Java). Experience with video encoding workflows, file formats, and streaming standards such as FFmpeg, video codecs (H.264, H.265, AV1), packaging (HLS, DASH). Hands on experience on Automation & Data : Workflow orchestration and big data tools. Experience with QA & Content Integrity : Automated QC, perceptual video quality metrics (VMAF, SSIM). Knowledge of content delivery protocols (Aspera, Media Shuttle, FTP, S3, cloud transfers and more). Familiarity with large-scale distributed systems and cloud platforms (AWS, etc) A problem-solver’s mindset with the ability to design automation that scales globally. Bonus: experience in media tech, subtitle automation, or streaming pipelines. Collaboration Tools: Git, Jira, CI/CD pipelines. Why Join Us Impact at scale : Your innovations will power how millions worldwide discover, watch, and enjoy content. Innovation-first culture : Work on bleeding-edge AI applications at the intersection of media and technology. Global footprint : Collaborate with teams across continents, shaping the future of streaming. Ownership and growth : We believe in empowering engineers to build, own, and lead. Inspiration all around : Be part of a team where creativity meets engineering excellence.

As a UCaaS Developer, you will be responsible for developing and optimizing WebRTC-based calling solutions using platforms such as Jitsi, Janus, or Zoom APIs. Your expertise in media servers will be key in efficiently handling real-time audio/video streaming. You will implement SIP, VoIP, and RTC protocols to ensure seamless communication. Integrating third-party UCaaS platforms like Twilio, Vonage, and Microsoft Teams will be part of your daily tasks. Your role will also involve designing and maintaining scalable and secure real-time communication applications. You will develop Node.js-based microservices for signaling, session management, and media control. Optimizing latency, bandwidth usage, and call quality to enhance user experience will be crucial. Implementing security best practices for encryption, authentication, and data protection in WebRTC calls will also be within your scope. Troubleshooting and debugging real-time communication issues across various network conditions will be a part of your routine. Collaboration with frontend teams to ensure seamless WebRTC integrations is essential for success in this role. You should possess 3+ years of experience in WebRTC development and media server integration. Your strong expertise in Jitsi, Janus, Zoom SDK, or similar WebRTC platforms will set you apart. Proficiency in Node.js for backend implementation and API development is required. Experience with SIP, VoIP, STUN/TURN, ICE candidates, and signaling protocols is necessary. Hands-on experience with real-time streaming technologies like RTSP, RTP, HLS, or DASH is preferred. Knowledge of Unified Communications (UCaaS) platforms such as Twilio, Vonage, or Microsoft Teams is essential. Familiarity with containerization (Docker, Kubernetes) for deploying RTC applications is desired. Understanding load balancing and scaling strategies for media servers will be beneficial. Knowledge of networking, NAT traversal, and WebRTC optimization techniques will be advantageous. Preferred qualifications include experience with AI-driven noise cancellation, echo reduction, or speech analytics. Knowledge of real-time chat and messaging solutions is a plus. Prior experience with cloud-based media server deployments on platforms like AWS, GCP, or Azure is beneficial. Experience with server-side event handling using Web Sockets or Socket.IO will be an added advantage.,

Role & responsibilities : Delivery of Key Projects : Successfully deliver advanced analytics and data science projects within predefined timelines and budget constraints. Collaboration : Collaborate effectively with data engineers and ML engineers to comprehend data and models, utilizing various advanced analytics capabilities. Solution Development : Develop efficient solutions for complex problems, showcasing expertise in data structures like Delta/Parquet, databases, data analytics, Python programming, and statistics. End-to-End Pipeline Management : Manage the entire data science pipeline, including problem scoping, data gathering, modeling, insights generation, visualizations, monitoring, and maintenance. Dashboard Design : Design dashboards using Python Dash (plotly) or Flask framework for effective data visualization and reporting. Technological Expertise : Utilize CI/CD tools, data pipeline technologies, and visualization/data storytelling tools proficiently. ETL Pipeline Building : Construct ETL pipelines using Python or Azure Synapse to facilitate efficient data processing and management. Data Procurement and Management : Independently procure and process data, ensuring seamless integration within the company's overall data management strategy. Technology Exploration : Continuously monitor advancements in artificial intelligence technology and identify applications for problem-solving within the company. Technical Skills: Proficiency in Python and common libraries ( Dash, Pandas, Scikit-Learn, Pydantic, TensorFlow ). Strong Knowledge in Statistics and Probability . Set up cloud alerts, monitors, dashboards, and logging systems, and troubleshoot data platform infrastructure as needed. Experience in OpenShift/Kubernetes, Azure ML is desirable. Proficiency in programming languages: Python (Dash) and database query languages SQL or KQL . Good applied statistical skills, including hands-on experience in time series modeling, predictive modeling, distributions, and regression . Knowledge of DevOps/MLOps . Exceptional analytical and problem-solving skills. Desired candidate profile : Bachelor's or Master's degree in Computer Science or a related technical field, or equivalent experience. Total of 6 to 10 years of professional experience. Minimum 4 years of experience in data science/machine learning . Minimum 3 years of experience with SQL . Experience in DevOps, preferably with hands-on experience in one or more cloud service providers, with Azure being preferred. If the above has triggered your interest, we are looking forward to receiving your application! ** Data Analyst/ Data Engineer profiles are not suitable for this role. Looking for core experience with a Data Scientist role only.

As a Frontend Application Developer at Bain & Company's BCN Pricing COE, you will be responsible for designing, developing, and maintaining interactive web applications using the Dash/React framework. Your role will involve collaborating with data scientists and stakeholders to create user-friendly applications that effectively communicate actionable insights and analytics to the business. Key Responsibilities: - Design, develop, and maintain web applications using React/Dash (plotly). Knowledge of other web apps like Streamlit, RShiny, etc. would be a plus. - Collaborate with data scientists to understand data requirements and application functionality. - Implement responsive and interactive user interfaces. - Optimize application performance and ensure scalability. - Conduct testing and debugging of code and data to ensure high-quality output. - Create and maintain documentation for application features and user guides. - Stay updated with industry trends and best practices in web development and data visualization. Qualifications: - Degree in Computer Science, Software Engineering, or a related field. - Proven experience with Python and web development frameworks. - Proficiency in React for data visualization, good to have Dash and Plotly for data visualization. - Familiarity with front-end technologies such as HTML, CSS, and JavaScript, NodeJs. - Experience with cloud platforms like Azure, good to have knowledge of AWS. - Experience with version control systems (e.g., Git or Azure DevOps). - Familiarity to implement login using OAuth providers like Google, Azure AD, or Okta would be a plus. - Strong problem-solving skills and attention to detail. - Excellent communication and collaboration abilities. Preferred Skills: - Knowledge of database systems (SQL server, Postgres, etc.). - Good to have familiarity with other data visualization libraries (e.g., Matplotlib, Seaborn). - Understanding of user experience (UX) design principles. - Consulting knowledge/background for effectively collaborating with data scientists and stakeholders while building/maintaining the application. - Experience/expertise of deployment of web applications on cloud servers in a previous organization. Joining Bain & Company means being part of a diverse, inclusive, and collaborative team where you can thrive both professionally and personally. Recognized as one of the world's best places to work, we champion diversity and social responsibility, creating an environment where you can become the best version of yourself. If you are looking for a challenging yet rewarding opportunity to work with a global consultancy that values your potential and talents, this role is perfect for you.,

You should have at least 7 years of experience in Android development with a strong understanding of Clean Architecture, MVVM/MVI, and modular design principles. Your knowledge of Android APIs and platform capabilities should be thorough, along with expertise in RESTful API integrations and robust caching strategies. Proficiency in Kotlin, Coroutines, and Flow is required, along with a strong understanding of multi-threading, memory optimization, and performance tuning in Android applications. Familiarity with Agile methodologies and modern development practices is essential, as well as excellent communication skills for collaborating with global teams and stakeholders. Experience with CI/CD pipelines for Android applications is also expected. You must have hands-on experience with Kotlin Multiplatform (KMP) and ideally have worked in the media, streaming, or content industry. Familiarity with video streaming protocols such as HLS, DASH, DRM solutions, and media playback frameworks like MediaPlayer and ExoPlayer is preferred. Experience with Firebase services and analytics implementation, as well as knowledge of app performance optimization techniques, will be beneficial. In return, we offer competitive salaries and comprehensive health benefits, along with flexible work hours and remote work options. You will have access to professional development and training opportunities in a supportive and inclusive work environment.,

You are a strategic thinker passionate about driving solutions. You have found the right team. As a Financial control Professional in the Finance team, you will spend each day defining, refining, and delivering set goals for the firm. You will be responsible for designing and developing end-to-end analytical solutions and subcomponents. This includes creating data engineering pipelines using Astronomer Airflow, building Python libraries, deploying REST APIs, and constructing dashboards. You will also participate in applying modern software engineering practices to enhance the public cloud analytics services. Your role will involve assisting in collecting and defining user requirements from Portfolio Managers and Strategists. You will facilitate the utilization of resulting models and systems across multiple lines of business, providing training to inexperienced users and hosting informational teaching sessions on the use of analytical tool kits and internal quantitative models. Additionally, you will consult on the application of modern data science and machine learning to business initiatives and manage and provide technical guidance to 2-3 engineers. Required qualifications, capabilities, and skills: - 7+ years of industry experience with a proven track record of building and deploying production-grade software, ideally in the finance domain. - Professional proficiency in Python, especially in web and data analysis libraries. - Education/experience in Computer Science, Engineering, and/or Data Science related discipline. - Strong problem-solving skills and the ability to transform practices into more efficient solutions/system/processes. - A strong interest in the finance/banking industry. - Familiarity with building and hosting images, and using container orchestration frameworks. - Prior exposure to accounting standards and fixed income products. Preferred qualifications, capabilities, and skills: - Additional experience in front-end development using Dash is preferred. - Knowledge and experience in cloud architecture and solutions deployment, preferably using tools like Jenkins, Artifactory, Terraform, and AWS CodeDeploy. - Understanding of data structures, design patterns, and system design is preferred. - Experience with full-stack development is preferred. - Experience with data science practices such as regression, classification, clustering simulation, scenario analysis, and optimization is preferred.,

Project Role : Business Process Architect Project Role Description : Analyze and design new business processes to create the documentation that guides the implementation of new processes and technologies. Partner with the business to define product requirements and use cases to meet process and functional requirements. Participate in user and task analysis to represent business needs. Must have skills : Android SDK, Java, GitHub, Kotlin Programming Language, ExoPlayer, HLS/DASH, DRM (Wi, CI/CD, Firebase, Crashlytics Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time educationBE or any equivalent Summary :We are looking for a skilled Android Developer to join our OTT engineering team. You will be responsible for developing and maintaining high-performance, user-friendly Android applications for our video streaming platform. The ideal candidate has experience building scalable mobile apps and integrating with video streaming services, APIs, and third-party SDKs. Roles & Responsibilities:OTT App Development:- Built and maintained Android apps for video-on-demand and live streaming.- Integrated with video streaming protocols (HLS, DASH) and media players (ExoPlayer)- Worked with DRM solutions (Wide vine, PlayReady) and adaptive bitrate streaming.Android Development:- Proficient in Kotlin and Java for Android development.- Experience with Android Jetpack components (ViewModel, LiveData, Navigation, Room).- Used MVVM architecture and dependency injection (Dagger/Hilt/Koin).API Integration:- Consumed RESTful APIs for user authentication, content catalogs, and subscriptions.- Integrated third-party SDKs for analytics, payments, and push notifications.Performance & Testing:- Used tools like Android Profiler, Leak Canary, and Firebase Crashlytics for performance monitoring.Wrote unit and UI tests using JUnit, Espresso, and Mockito. Professional & Technical Skills: - Should have 3+ years of experience working with App Development in OTT Streaming- Education, global OTT project contributions, certifications, and app store deployments Additional Information:- The candidate should have a minimum of 5 years of relevant experience- This position is based at our Bangalore office.- A 15 years full-time education is required. Qualification 15 years full time educationBE or any equivalent

GlobalLogic is seeking a candidate with excellent understanding of STLC / SDLC to join our team. As a QA/Testing professional, you will be responsible for test execution, analyzing and troubleshooting failures, tracking defects, driving resolution, verifying fixes, and communicating results to stakeholders. Additionally, you will have the opportunity to learn test automation in order to increase execution velocity and improve product quality. Familiarity with TDD/BDD paradigms and AI for QA automation is a plus. The ideal candidate should possess strong problem-solving and analytical abilities, with the capability to troubleshoot, identify, and resolve defects. You should have 3 to 10 years of experience in QA/Testing roles, particularly working on large scale web applications on cloud platforms. Experience in the video streaming domain and technologies such as DASH, HLS, MPEG-4, WideVine, and FairPlay is highly desirable. At GlobalLogic, we offer a culture of caring, where people are prioritized above all else. You will experience an inclusive environment of acceptance and belonging, fostering meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Continuous learning and development are at the core of our values. You will have ample opportunities to grow personally and professionally through various programs, training curricula, and hands-on experiences. Our commitment to your growth is unwavering, with tools like Career Navigator to help you navigate your career path at GlobalLogic. Joining our team means engaging in interesting and meaningful work that makes an impact globally. You will have the chance to work on projects that matter, showcasing your problem-solving skills and creativity while helping clients reimagine possibilities and bring new solutions to market. We believe in balance and flexibility, offering various career areas, roles, and work arrangements to help you achieve a harmonious work-life balance. Your well-being extends beyond the office, and we strive to support you in integrating and balancing work and personal life while having fun along the way. Integrity and trust are foundational to our organization. By joining GlobalLogic, you are placing your trust in a high-trust organization that upholds integrity as a cornerstone value. Our commitment to truthfulness, candor, and integrity reflects in everything we do, ensuring a safe, reliable, and ethical environment for our employees and clients. GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner known for collaborating with the world's largest companies in creating innovative digital products and experiences since 2000. We continue to lead the digital revolution by transforming businesses and redefining industries through intelligent products, platforms, and services. Join us in shaping the future with impactful solutions that make a difference in the world today.,

JOB DESCRIPTION The Strategy & Enterprise Analytics team, part of the Global Data Insight & Analytics (GDI&A) organization, is looking for experienced Data Scientist with a strong background in AI/ML to develop and deliver innovative data analytics models, tools, and services. As a key member of our team, you will collaborate with business partners in Legal Ops Analytics and AI areas to identify new data sources and explore their potential use in driving business results. We are looking for a seasoned Data Scientist with 3+ years of experience in AI/ML, preferably with some experience in Generative AI. You should be a humble and collaborative individual who thrives in a fast-paced environment and shoud be passionate about developing and delivering data analytics and machine learning models that drive business impact. RESPONSIBILITIES Acquire a deep understanding of business problems and translate them into appropriate technical solutions. Design, develop, and implement end-to-end AI/ML pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment. Act as a full-stack data scientist to develop and deliver advanced analytics models, including classification, time series, LLM, and more. Write clean, efficient, and well-documented code in Python for data manipulation, feature engineering, and model development. Utilize SQL extensively for data extraction, transformation, and loading (ETL) from various relational databases. Collaborate internally and with data engineers to identify new and novel data sources, ensure robust data infrastructure, and explore their potential use in developing actionable business results. Monitor and maintain deployed AI/ML models, ensuring their ongoing performance, accuracy, and reliability. Analyze and interpret complex datasets to identify trends, patterns, and insights that inform model development and business decisions. Communicate technical concepts and analytical results effectively to both technical and non-technical stakeholders. Work independently with minimal guidance, taking ownership of projects and delivering results. Foster a collaborative team environment, showing the highest respect for team members and their contributions. Stay updated with the latest advancements in AI, machine learning, and data science technologies. QUALIFICATIONS Master's degree (M.S.) in Data Science, Computer Science, Business Analytics, Machine Learning, Statistics, or a related quantitative field. 3+ years of experience in AI/ML, with proven experience developing and deploying machine learning models in a production environment. Strong proficiency in Python for data science and machine learning. Expertise in SQL for data querying, manipulation, and database interaction. Strong skills in data acquisition, algorithm design, and model development and refinement. Experience with big data technologies, cloud-based data platforms (e.g., GCP, AWS), and business intelligence tools (e.g., Power BI, Streamlit, Plotly Dash). Solid understanding of machine learning algorithms, statistical modeling, and data analysis techniques. Excellent oral, written, and interpersonal communication skills.

About the Role This role sits at the heart of Swiss Re's Underwriting Analytics transformation. As a Product Engineer, you will contribute to the development, deployment, and maintenance of analytical applications that empower underwriters, actuaries, and business leaders to make fast, confident, and insight-driven decisions. Reporting into the Head of Underwriting Analytics, you will partner closely with visualization leads, data architects, AI engineers, and product managers to build performant, scalable tooling that transforms raw data into actionable business value. Your work will span dashboards, self-service apps, and integrated ML tools-powered by the Stargate analytical data platform. This is a hands-on role where engineering meets business impact. You'll be expected to build with precision, collaborate openly, and ensure that every line of code serves a measurable underwriting outcome. Strategic Mandate Alignment Your work supports the mandate to empower the Underwriting product areas and Market Units for the future of the insurance market by delivering industry-leading capabilities. Key outcomes include . Visualization: Help design and maintain reporting tools that simplify access to portfolio insights and empower better decision-making. . Advancing Analytics: Engineer and evolve plug-and-play components that scale with the growing breadth of analytical products. . Underwriting Initiatives: Contribute to tooling used across major initiatives. You will also support the broader transformation agenda . Enable GenAI-powered assistants and LLM applications by ensuring analytical infrastructure is reliable, performant, and extensible. . Embed engineering excellence that supports insight delivery at the point of quote and directly within Underwriting Workbench interfaces. Primary Responsibilities A. Engineering Delivery . Build and maintain analytical applications, dashboards, and supporting components that serve underwriters and steering teams. . Write performant, reusable code that supports real-time, high-trust insight delivery. . Implement version control, testing, and documentation standards for all work products. . Integrate user feedback into the design and continuous improvement of analytical tools. B. Collaboration & Product Execution . Under the direction Head of Underwriting Analytics, collaborate with product managers to scope requirements and translate them into working features. . Work closely with AI/ML engineers and data architects to ensure infrastructure compatibility and downstream usability. . Ensure tight alignment with the Stargate data platform and adhere to shared development patterns. . Support the regression testing, production hardening, and monitoring of deployed tools. C. Process & Controls . Ensure consistency in KPIs, metrics, and visualizations by aligning with centralized reporting logic. . Document code, logic, and assumptions clearly to ensure auditability and team-wide understanding. . Participate in code reviews, design discussions, and architectural evolution of the analytics stack. About the Team You will join the Global Underwriting Data & Analytics team - a talented, curious and collegial cohort committed to solving the biggest challenges facing the industry today. The team brings a deep understanding of the Underwriting problem statement and the technical purview necessary to solve it. About You You are a curious, detail-oriented engineer who's excited about solving real business problems through data and software. You enjoy owning features end-to-end, thrive in collaborative environments, and seek to make measurable impact through code. Qualifications and Experience Required: . Master's degree in Computer Science, Data Science, or other rigorous technical discipline. . 5+ years of experience building data-driven applications, dashboards, or analytical tooling. . Proficiency in programming (e.g., Python, SQL, JavaScript, TypeScript, R) and frontend frameworks (e.g., React, Plotly, Dash). . Familiarity with cloud platforms (e.g., Azure, GCP, Snowflake, or Palantir). . Strong understanding of software engineering principles including version control (Git), modularity, and testing. . Comfortable working with large datasets and integrating with data pipelines. . Strong communication skills and ability to work effectively across technical and business stakeholders. . A proactive mindset, team-first attitude, and a passion for solving problems that matter. Keywords: Reference Code: 134423

The Risk division at our firm is responsible for managing credit, market, and operational risk, model risk, independent liquidity risk, and insurance. We develop processes to monitor, assess, and manage risks related to both expected and unexpected events that could negatively impact the firm. As a member of the Risk division, you will play a crucial role in executing day-to-day risk management activities, leading projects, and contributing to the continuous improvement of our risk management program. Success in this role hinges on effective collaboration with executive management, business units, control departments, and technology teams. The Model Risk Management (MRM) group at Goldman Sachs is a diverse team of quantitative experts located in various global offices. The MRM team oversees the firm's model risk, ensuring compliance with the Model Control Policy, and providing rigorous challenge over model development, documentation, implementation, and usage. Our primary objective is to mitigate risks associated with model use across different business areas, such as derivatives valuation, market risk management, and liquidity computations. As part of the Model Governance team, your responsibilities will include driving initiatives to enhance the efficiency and automation of model risk management workflows, establishing and enforcing the MRM framework and governance structure, designing and developing automation tools for model risk management, and coordinating with regulators on model risk management topics. You will collaborate with Technology teams to maintain systems supporting model risk management workflows, translate requirements into development tasks, and evaluate compliance with regulatory rules. Moreover, you will oversee model performance monitoring in conjunction with Model Validation, manage model validation findings, and maintain the firmwide model inventory. This involves ensuring data integrity in the model inventory, communicating validation results and model limitations to internal and external stakeholders, and engaging in discussions with senior management on key issues. To excel in this role, you should possess strong development skills in Java and Python, with experience in web applications being a plus. Excellent object-oriented development skills are essential for writing modular, testable, and scalable code. Strong communication skills are crucial for effectively delivering information to stakeholders of varying seniority levels, including regulators. Analytical, quantitative, interpersonal, and organizational skills are also key attributes we are looking for in candidates. While 2-3 years of industry experience is preferred, candidates with a Bachelor's degree in computer science, electrical engineering, mathematics, financial engineering, or finance will be considered. Financial industry experience, as well as model development and/or validation experience, are desirable qualifications for this role.,

Job description Some careers shine brighter than others. If you're looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Lead Consultant Specialist In this role, you will: Designing, developing, testing, and implementing ML models. This involves understanding business objectives and requirements in collaboration with the AI team and developing solutions to solve complex problems. Analysing and interpreting complex data to identify trends, patterns, and insights. This role requires staying updated with the latest AI/ML trends, techniques, and technologies, and conducting research to implement new methodologies in AI and ML. Collaborate closely with business stakeholders and other cross-functional teams to define and prioritize AI-driven product features and capabilities based on their requirements. Ensure the scalability, reliability, and performance of the integrated GenAI solutions, optimizing software architecture and implementing best practices. Continuously monitor and evaluate the performance of AI models and processes, identifying areas for improvement and implementing necessary enhancements to ensure optimal results. Stay up-to-date with the latest advancements in GenAI, analytics, and Prompt Engineering, ensuring HSBC remains at the forefront of innovation and maintains a competitive. Participate in regular reviews and audits of AI-driven processes, providing insights and recommendations for improvements to ensure ongoing alignment with HSBC's strategic goals and regulatory requirements. Ensure adherence to data privacy and security standards, safeguarding sensitive customer and business information while maintaining compliance with relevant regulations. Demonstrate the ability to work independently and take ownership of tasks, while also supporting junior team members, ensuring timely high-quality delivery. Our Customers / Stakeholders: Investment Banking Senior Management & Front-office staff, Investment Banking Transformation Leads, Investment Banking Technology Management Teams. Requirements To be successful in this role, you should meet the following requirements: Highly numerate with strong background in mathematical disciplines e.g., computer science (AI/ML), statistics, physics, engineering. Proven experience of working with GenAI, Large Language Models (LLM), Natural Language Processing (NLP) techniques, Time-Series and Prediction Models and familiarity with TensorFlow, LangChain, PyTorch, Plotly, Dash, Scikit-learn libraries. Track record of implementing AI/ML Statistics models and GenAI solutions in strictly regulated financial organizations. Strong proficiency in software development with expertise in backend technologies, frontend frameworks, and languages, such as Python, JavaScript. Good proficiency in Database technology is recommended. Familiarity with financial data and good understanding of investment banking products and processes. Excellent communication and collaboration skills to effectively work with cross-functional teams and stakeholders. Result oriented team player who can foster strong and collaborative partnerships with key stakeholders. You'll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by - HSBC Software Development India