5551 Data Science Jobs - Page 48

LTFinance is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey. Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

LTFinance is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey. Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

LTFinance is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey. Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

LTFinance is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey. Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

LTFinance is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey. Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

LTFinance is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey. Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

LTFinance is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey. Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

LTFinance is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey. Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

LTFinance is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey. Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

LTFinance is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey. Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

LTFinance is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey. Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

LTFinance is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey. Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

Job Summary Synechron is seeking a talented and motivated Data Science AI & ML Engineer with proficiency in Python to join our innovative analytics team. This key role involves developing data-driven solutions, building machine learning models, and leveraging advanced analytics to solve complex business challenges. The ideal candidate will apply their expertise to drive insights, inform strategic decisions, and contribute to cutting-edge AI initiatives, creating tangible value for clients across diverse industries. This position offers an exciting opportunity to work at the intersection of data science, AI, and business impact, supporting ongoing innovation and digital transformation efforts within the organization. Software Requirements Required Skills: Proficiency in Python (version 3.6+) with experience in data analysis, manipulation, and scripting Knowledge of SQL for data extraction, transformation, and database querying Experience with data visualization tools such as PowerBI , Tableau , or QlikView Familiarity with AI and Machine Learning frameworks such as TensorFlow , Keras , PyTorch , or equivalent Hands-on experience in developing, deploying, and optimizing machine learning models Preferred Skills: Experience with R for data analysis Familiarity with cloud platforms like AWS , Azure , or GCP for deploying AI solutions Knowledge of version control systems such as Git Overall Responsibilities Analyze, interpret, and visualize large and complex datasets to extract actionable insights Design, develop, and implement machine learning and AI models for predictive and prescriptive analytics Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions Communicate findings, insights, and recommendations via reports, dashboards, and presentations to stakeholders Evaluate and refine models and algorithms to maximize accuracy, efficiency, and impact Stay informed on emerging AI, Data Science, and analytics trends and incorporate best practices into projects Support automation efforts, optimize data pipelines, and enhance existing analytical workflows Contribute to organizational learning by sharing knowledge and mentoring team members Strategic objectives: Drive innovation through the application of AI and machine learning Enable data-driven decision-making across business units Improve operational efficiencies and business outcomes Performance outcomes: Accurate, robust, and scalable AI models High-quality insights delivered on time and aligned with business needs Well-documented solutions and knowledge-sharing artifacts Technical Skills (By Category) Programming Languages (Essential): Python (required); experience with R is a plus SQL (required); experience with data manipulation and querying Data Analysis & Visualization Tools (Essential): PowerBI, Tableau, or QlikView Frameworks & Libraries (Essential): TensorFlow, Keras, PyTorch, or similar frameworks for AI/ML development Data Management & Databases (Essential): Relational databases (e.g., MySQL, PostgreSQL, Oracle) Data extraction and transformation (ETL processes) Cloud & Deployment (Preferred): Experience deploying models on cloud platforms such as AWS, Azure, GCP Development & Version Control (Preferred): Git for code versioning Other Skills: Strong statistical knowledge and experience with data preprocessing, feature engineering Familiarity with agile development methodologies Experience Requirements 3 to 5 years of relevant experience in AI, Data Science, or Data Analytics roles Proven track record applying machine learning techniques to real-world problems Experience working with large datasets and scalable data pipelines Experience collaborating with cross-functional teams to deliver analytics-driven solutions Industry experience in finance, healthcare, retail, or similar data-rich sectors is preferred Alternative pathways: Candidates with extensive AI & ML project experience, strong programming skills, and relevant certifications can be considered with slightly varied years of experience Day-to-Day Activities Collect, clean, and explore large datasets to identify patterns and insights Develop and tune machine learning models to address business problems Collaborate with business analysts, data engineers, and product owners to align technical solutions with organizational goals Document methodologies, code, and analytical findings to ensure reproducibility and knowledge sharing Create dashboards, visualizations, and reports to communicate insights effectively Evaluate model performance regularly and optimize models for accuracy and efficiency Participate in team meetings, project planning, and review sessions Keep abreast of advancements in AI/ML technologies, tools, and best practices Qualifications Bachelors degree in Computer Science , Data Science , Statistics , or related field Masters degree or higher in AI, Data Science, or related disciplines is a plus Professional certifications in AI/ML (e.g., TensorFlow Developer, AWS Machine Learning Specialty) are advantageous Willing to learn new tools and stay updated with emerging AI trends Ability to work independently and collaborate effectively in a dynamic environment Professional Competencies Analytical and problem-solving mindset with a focus on actionable insights Excellent verbal and written communication skills for diverse audiences Strong interpersonal skills and stakeholder management Adaptability to fast-changing technology landscapes Growth mindset with continuous learning enthusiasm Organizational skills to handle multiple projects and priorities simultaneously Innovation-driven approach and proactive problem resolution.

Designation- Instructor- Data Science/Machine Learning Location- Bangalore Salary Range- 8LPA- 10LPA Key Responsibilities: Live Instruction: Teach core DS/ML topics (supervised & unsupervised learning, deep learning, model evaluation, MLOps) through interactive sessions. Curriculum Collaboration: Work with content teams to design labs, code walkthroughs, and real-world case studies using Python, scikit-learn, TensorFlow/PyTorch, and cloud-based DS/ML services. Learner Support: Field technical questions, debug code, review notebooks, and provide actionable feedback on assignments and projects. Project Mentorship: Guide capstone worke.g., image/video models, NLP pipelines, recommendation systems, and deployment pipelines. Continuous Improvement: Analyze learner performance data to refine modules, introduce emerging topics (e.g., transformers, generative models), and enhance assessments. Requirements: 3+ years of industry or academic experience in DS/ML or AI. Minimum Masters degree in DS or ML &AI or CS specialization in AI & DS/ML Proficiency in Python and ML frameworks (scikit-learn, TensorFlow or PyTorch). Familiarity with MLOps tools (Docker, Kubernetes, MLflow) and cloud ML services (AWS SageMaker, GCP AI Platform, or Azure ML). Excellent presentation and mentoring skills in live and small-group settings. Prior teaching or edtech experience is a strong plus.

such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation. Join crossfunctional teams to design, develop, deploy, and finetune generative AI systems , including LLMs, retrievalaugmented generation (RAG), and AI agents Build and maintain scalable, secure backend services commonly using Python and frameworks such as FastAPI

8+ years of experience in test automation. Strong proficiency in Java and Selenium WebDriver. Good hands-on experience in Python for scripting or automation tasks. Experience with test frameworks such as TestNG, JUnit, PyTest, or similar. Working knowledge of version control systems (e.g., Git). Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions). Solid understanding of SDLC, STLC, and Agile methodologies. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities Nice to Have: Experience with BDD tools like Cucumber or Behave. Knowledge of API testing tools (e.g., Postman, RestAssured). Experience with performance testing tools (e.g., JMeter). Exposure to cloud-based testing environments (e.g., AWS, Azure). Mandatory Competencies QA/QE - QA Automation - Selenium Data Science and Machine Learning - Data Science and Machine Learning - Python DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - GitLab,Github, Bitbucket Development Tools and Management - Development Tools and Management - CI/CD Development Tools and Management - Development Tools and Management - Postman Cloud - AWS - AWS Lambda,AWS EventBridge, AWS Fargate Cloud - Azure - Azure Sql Server, CosmosDB QA/QE - QA Automation - Rest Assured QA/QE - QA Automation - Core Java

Looking for smart, curious and highly motivated engineers from an Application Support or Test Automation background, who have good experience in Python and SDLC . The ideal candidate who has the desire to work on Gen AI projects would have enrolled themselves in some Gen AI courses, and should have done some reading/exploration by themselves. The ideal candidate should have 4-10 years of practical work experience in areas like - integrating/managing APIs, async programming frameworks/libraries, state management , concurrency , containerization and telemetry. Mandatory Competencies Data Science and Machine Learning - Data Science and Machine Learning - Gen AI Python - Python UI - Typescript Beh - Communication

Desired Qualifications: 10+ years of industry experience 4+ years experience developing and deploying conversational virtual assistants 4+ years hands-on experience utilizing platforms like Amazon Lex, Google Dialogflow, IBM Watson, Microsoft Bot Framework, Kore.AI, Rasa, or Clinc 2+ years hands-on experience building Gen AI applications using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architectures including setting up vector databases and prompt engineering Fluency in writing code in Python, JavaScript, C++ or some other high-level language Experience designing multi-agent collaboration workflows (e.g., planner-executor, tool-selector). Familiarity with agent memory types (episodic, declarative, semantic) and persistent context handling. Experience building observability dashboards and metrics for LLM/agent execution (e.g., prompt logs, traces, outcomes). Ability to translate user and business requirements into high-performing agent behaviors. Passion for emerging trends in Agentic AI, autonomous reasoning, tool augmentation, and GenAI-driven automation. Knowledge and understanding of Artificial Intelligence (AI) disciplines such as Machine Learning or Natural Language Processing Experience with Artificial Intelligence (AI) industry trends and business applications Solid understanding of conversational dialog systems, natural language processing (NLP) fundamentals, and machine learning Familiar with utterances, entities, intents, classification, annotation, business rules and APIs Experience designing, developing and deploying large training data sets Strong understanding on data management and annotation processes Must come financial services/capital markets/investment banking Excellent Analytical skills Great interpersonal and communication skills Open to work in UK Shift (10 Am to 9 Pm IST with 8 hours of productive work) Responsibilities: Design and implement Agentic AI workflows that autonomously orchestrate tasks using tool calling, memory, planning, and execution capabilities. Architect end-to-end Conversational AI solutions integrated with LLMs, using platforms such as Dialogflow, Rasa, Lex, and others Partner with various partners including PM's, PO's UX designers and content strategist to plan, validate and execute the model and implementation of conversational experiences within the virtual assistant Develop and enhance model training and optimization processes with a focus on driving scalability and automation Develop tool schemas, action mappers, and execution logic to enable intelligent decision-making across diverse APIs and data sources. Lead model analysis via testing, misclassification prioritization, root cause assessment Define and implement the "intents" and "entities" that define the conversation interaction, along with the associated business rules, logic and API interactions that are required for sophisticated interactions Responsible for building human language data sets to train machine learning models driving the virtual assistant. Work closely with other members of the product team and technology partners to identify enhancements to the conversational experiences Act as a liaison between our AI Product team and Technology to ensure that our Virtual Assistant delivers intelligent and intuitive conversations, resulting in great customer experience Education Qualification: B.Tech or MCA Mandatory Competencies Data Science and Machine Learning - Data Science and Machine Learning - Gen AI Data Science and Machine Learning - Data Science and Machine Learning - Gen AI (LLM, Agentic AI, Gen AI enable tools like Github Copilot) Data Science and Machine Learning - Data Science and Machine Learning - Amazon Machine Learning User Interface - Other User Interfaces - JavaScript Programming Language - Other Programming Language - C++ Data Science and Machine Learning - Data Science and Machine Learning - Python Data Science and Machine Learning - Data Science and Machine Learning - NLP (Natural language processing) Data Science and Machine Learning - Data Science and Machine Learning - AI/ML Beh - Communication and collaboration

Role: Lead Presales (Data Science & AI) Job Responsibilities: Client Engagement & Solution Presentation End to end delivery of Data Science & AI projects, right from customer engagement, acquisition, and on boarding. Present and demonstrate complete solutions capabilities to the prospects/ customers. Engage with clients at a strategic level to understand their business needs and develop and maintain project documentation such as Statements of Work (SoWs), Business Requirement Documents (BRD), Functional Specification Documents (FSD), Technical Specifications, and other design documents to support presales efforts. Gather feedback from end-users and stakeholders, incorporating it into presales activities to ensure the final solutions meet user needs. Job Requirements: Bachelor's degree in Engineering (preferably Computer Science, Data Science, AI/ML) 5+ years of progressive experience in presales, technical consulting, solutions architecture, or a similar customer-facing technical role within the IT services industry. Excellent written and verbal communication skills in English. Strong analytical, logical reasoning and problem-solving skills. Experience creating business/commercial proposals and responding to RFQs/RFPs. Good critical thinking skills.

We're hiring an AI Lead Engineer! Design and deploy LLM-powered, RAG-based solutions with LangChain, vector DBs, and cloud-native tools. Ideal for hands-on builders passionate about real-world AI impact.

Overview The AI Engineering team at MSCI is seeking a Senior Associate to help build and scale our internal platform for deploying intelligent agents. This platform enables developers and non-technical teams to quickly build, test, and deploy agents that interact with internal APIs and data while respecting entitlements and data boundaries. You will work in close collaboration with engineers across cloud infrastructure, ML ops, and security to ensure the agent platform is robust, flexible, and easy to use. This role requires a passion for platform usability, developer experience, and pragmatic engineering in cross-cloud (Azure + GCP) environments. Responsibilities Implement and improve internal tooling and runtimes for deploying agent-based applications across MSCI teams. Integrate entitlement and data-privacy policies into AI workflows using internal security and identity layers. Develop reusable libraries and interfaces for agents to interact with MSCI services via MCP and additional integrations . Collaborate with UX and internal client teams to build low-friction, high-compliance agent deployment pathways. Contribute to observability, sandboxing, and monitoring capabilities for agent executions and workflows. Qualifications Experience building testing, validation, or observability systems in ML or production software environments. Working knowledge of common agent architectures, LLM prompting strategies, and feedback mechanisms. Comfort working with structured logging, tracing, and evaluation frameworks across GCP or Azure environments. Familiarity with common agentic development platforms like OpenAI agents sdk , google’s adk , langchain , etc Strong analytical mindset with a focus on automation and reproducibility of complex behaviour traces. Demonstrated ability to work across disciplines (engineering, product, risk) to define validation metrics and processes. 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 Loadshare: LoadShare is one of India’s most innovative and resilient logistics platforms, transforming how goods move across the country. Founded in 2017, we’ve grown to become a pan-India, multi-category last-mile network with a unique presence in both Tier 1 metros and deep Tier 2/3 towns. What sets us apart: • Scale with depth: We handle ~400K deliveries/day across food, e-commerce (B2C), B2B retail, and digital commerce, powered by a 20,000+ rider network. • Strong financials, stronger ambition: With 430 Cr in FY25 revenue and support from global investors (Tiger Global, Matrix, BII, Stellaris, BeeNext), we have a long runway and a path to profitability • Dual-engine model : We not only operate India’s most flexible last-mile delivery network, but also license our in-house logistics tech platform that processes an additional 20 lac orders/day — one of the few in India to enable asset cross-utilization across verticals • Strategic partner to India’s digital economy: We work with every major digital commerce player (ecomm, quick commerce, food, mobility) , and are expanding wallet share and capabilities within existing giants while co-creating new models with emerging platforms and brands. • Built to scale profitably : We’re not chasing GMV at all costs. We’re building the most capital-efficient, tech-enabled logistics engine in the country. We’re now building for our next phase: a 5X scale-up over the next 5 years, anchored in sharper client focus, deeper solutions, and new growth engines. Founders/ Founding team: Raghu Talluri (CEO) - Formerly at Myntra, McKinsey Pramod Nair (CTO) - Formerly at Freecharge, Snapdeal, MartMobi Rakib Ahmed (Co Founder, Head EComm/ Trucking/Warehousing) - Formerly at ICICI Prudential, Co founder Lunate Eco Overall 500+ employees on roll The Role: Where Business Meets Data Science We’re looking for a Senior Data Scientist to join our Hyperlocal Business Unit —the fastest growing part of LoadShare. This isn’t your typical ML role. You'll be at the intersection of real-time rider allocation, business margins, customer experience, and fair pay to gig workers. You'll have full ownership and freedom to rethink how orders get assigned, how riders move, and how we balance profitability with empathy and excellence. Your mission, should you choose to accept: Make our allocation engine smarter and faster, using data science, machine learning, and a bit of madness. Every 0.1% improvement you drive scales across lacs of deliveries and thousands of riders. Roles and Responsibilities What You’ll Work On Rider Allocation Engine: Improve how we assign orders to riders using ML, optimization, and predictive modeling to improve margins, reduce wait times, and increase batchability. Rider Earnings vs. Business Margins: Build models that find the sweet spot between paying riders fairly and hitting profitability goals—without compromising on customer experience. Demand-Supply Matching: Create algorithms to anticipate demand, shape rider shifts across space and time, and reduce delivery failures in hotspots and dark zones. CX & SLA Optimization: Use historical data to predict SLA risks and proactively re-route or re-assign in real-time. Experimentation & Impact: Design A/B tests to validate everything you ship. What you build, you own. Scale ML in Production: Work with engineering to ship robust, real-time data science solutions that touch live operations daily. Why This Role is Cool Real-World Impact: Your models will affect lacs of orders and thousands of livelihoods every single day. Freedom to Experiment : You get a playground with real data, full support from leadership, and space to try bold ideas. Full Stack Data Science: From ideation to shipping models to influencing business decisions, you’ll do it all. Tech + Ops Fusion: See your work directly improve operations, rider morale, and customer happiness—in days, not quarters. Incredible Team: Work with some of the sharpest minds in logistics, ops, and engineering. Quick Commerce Revolution: You get to be in the foreground of the QC revolution, shaping how 3Ps help solve the stress. What We’re Looking For 4+ years of experience in Data Science/ML/OR solving complex real-world problems Strong in Python, SQL, and ML frameworks. Good grounding in optimization, statistics, experimentation, and business sense Curious mind, strong communication skills, and a bias for action. Bonus Points If You Have Worked on last-mile logistics, food delivery, or hyperlocal services Built real-time systems or worked closely with engineering on model deployment Experience with geospatial data, ETA models, or dynamic pricing Passion for making tech more inclusive for gig workers and emerging markets Ready to Redefine Hyperlocal Logistics? Join us. Help build a system that delivers millions of packages, changes thousands of lives, and sets the gold standard for modern intracity logistics—using data.

Tasks Roles & Responsibilities: Responsible for Diagnostic Test software development and validation for the Hybrid/EV components Work closely with Development (R&D), Production and Aftersales Develop Test and Commissioning software as per Production Test requirements Collaborate with HIL team and Validate test software on HIL benches Root cause analysis for the defects found during validation and report issue to stakeholders Support in Production issues arising due to Test module implementation Innovative mindset and adapt to learn new technology, as required Onsite travel to Germany to learn and support Team player Qualification: B.Tech/M.Tech in ECE/EEE/EI Mandatory Skills: B.Tech/M.Tech in ECE/EEE/EI or similar 4-6 years of relevant experience in Automotive domain Having good exposure to programming language such as c/c++, Python, Perl Hands on experience on Vehicle and EE architecture Knowledge on various protocols such as CAN, Ethernet, Flexray OBD and Diagnostics relevant experience will be added advantage Exposure to HIL based testing Software: CANoe, CANalyzer, C/C++, Python Hardware: Knowledge on ECU, Topology CAN/Ethernet, Hybrid/EV concepts, HIL testing, Vehicle Diagnostics

As a Senior Cloud Security Operations Analyst, you will play a critical role in ensuring the confidentiality, integrity, and availability of Pega's commercial cloud infrastructure and assets. You will be key in the continuous monitoring and protection of all global cloud security operations at Pega as well as an active participant in incident response efforts. As a key member of a team consisting of highly capable and talented problem-solving analysts and engineers, you help develop processes that drive proactive, automated detection and incident response tactics to support the quick resolution of cloud security events and incidents. You will accomplish this by collaborating with cross-functional teams including other security analysts, threat detection engineers, vulnerability analysts, security engineers, system administrators, and developers to proactively identify potential security risks and vulnerabilities within our cloud environment. You will leverage your strong analytical skills to assess and prioritize threats, applying your knowledge of industry best practices and cloud security frameworks. As a Senior Cloud Security Operations Analyst at Pega, youll contribute to the success of our globally recognized brand. Your efforts will directly impact the security and trust our clients place in us, as we help them transform their business processes and drive meaningful digital experiences. So, picture yourself at Pega, where your expertise in cloud security is valued, and your passion for protecting data is celebrated. Join us in shaping the future of secure cloud operations and make a lasting impact on the world of technology. What You'll Do at Pega: Perform security monitoring of Pega Cloud commercial environments using multiple security tools/dashboards Perform security investigations to identify indicators of compromise (IOCs) and better protect Pega Cloud and our clients from unauthorized or malicious activity Actively contribute to incident response activities as we identify, contain, eradicate, and recover Contribute to standard operating procedure (SOP) and policy development for CSOC detection and analysis tools and methodologies Assist in enhancing security incident response plans, conducting thorough investigations, and recommending remediation measures to prevent future incidents Perform threat hunts for adversarial activities within Pega Cloud to identify evidence of attacker presence that may have not been identified by existing detection mechanisms Assist the threat detection team in developing high confidence Splunk notables focused on use cases for known and emerging threats, based on hypotheses derived from the Pega threat landscape Assist in the development of dashboards, reports, and other non-alert-based content to maintain and improve situational awareness of Pega Clouds security posture Assist in the development of dashboards, reports, and other non-alert-based content to maintain and improve situational awareness of Pega Clouds security posture Assist in the development of playbooks for use by analysts to investigate both high confidence and anomalous activity Who You Are: You have an insatiable curiosity with an inborn tenacity for finding creative ways to deter, detect, deny, delay, and defend against bad actors of all shapes and sizes. You have been in the security trenches and you know what an efficient security operations center looks like. You have conducted in-depth analyses of various security events/alerts, contributed to incident response efforts, and developed new methods for detecting and mitigating badness wherever you see it. You bring a wealth of cloud security experience to the table and are ready to harness that expertise to dive into cloud-centric, technical analysis and incident response to make Pega Cloud the most secure it can be. You have a history of success in the information security industry. Your list of accolades include: SANS, Offensive Security, or other top-tier industry recognized technical security certifications focused on analysis, detection, and/or incident response Industry recognition for identifying security gaps to secure applications or products. What You've Accomplished: Minimum of 6+ years of industry-relevant experience, with a demonstrated working knowledge of cloud architecture, infrastructure, and resources, along with the associated services, threats, and mitigations. Minimum of 4+ years in operational SIEM (Security Information and Event Management) roles, focusing on analysis, investigations, and incident response, with experience in Google Chronicle SIEM being an added advantage. 3+ years of operational cloud security experience preferably AWS and/or GCP including knowledge and analysis of various cloud logs such as CloudTrail, Cloud Audit, GuardDuty, Security Command Center, CloudWatch, Cloud Ops, Trusted Advisor, Recommender, VPCFlow, and WAF logs. 4+ years of operational experience with EDR/XDR platforms and related analysis and response techniques. Operational experience performing investigations and incident response within Linux and Windows hosts as well as AWS, GCP, and related Kubernetes environments (EKS/GKE). Solid working knowledge of MITRE ATT&CK framework and the associated TTP's and how to map detections against it, particularly the cloud matrix portion. Familiarity with the OWASP Top 10 vulnerabilities and best practices for mitigating these security risks. A solid foundational understanding of computer, OS (Linux/Windows), and network architecture concepts, and various related exploits/attacks. Experience developing standard operating procedures (SOPs), incident response plans, runbooks/playbooks for repeated actions, and security operations policies. Experience with Python, Linux shell/bash, and PowerShell scripting is a plus. Excellent verbal and written communication skills, including poise in high pressure situations. A demonstrated ability to work in a team environment and foster a healthy, productive team culture. A Bachelors degree in Cybersecurity, Computer Science, Data Science, or related field.

Hands-on experience of deployment of models on Snowflake, and writing stored procedures for the same, OR Hands-on experience with Cortex AI and its frameworks. Experience in doing indexing, parsing, & Document AI within Cortex. Required Candidate profile Experience in Snowflake data platform and infrastructure Snow-park should be known, Data Science theoretical or DS Candidates should be only from Tamil Nadu