LT Finance Limited 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

LT Finance Limited 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

LT Finance Limited 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

LT Finance Limited 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

LT Finance Limited 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

LT Finance Limited 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

LT Finance Limited 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

LT Finance Limited 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

LT Finance Limited 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

. Summary of This Role Works throughout the software development life cycle and performs in a utility capacity to create, design, code, debug, maintain, test, implement and validate applications with a broad understanding of a variety of languages and architectures. Analyzes existing applications or formulate logic for new applications, procedures, flowcharting, coding and debugging programs. Maintains and utilizes application and programming documents in the development of code. Recommends changes in development, maintenance and system standards. Creates appropriate deliverables and develops application implementation plans throughout the life cycle in a flexible development environment. What Part Will You Play? Develops basic to moderately complex code using front and / or back end programming languages within multiple platforms as needed in collaboration with business and technology teams for internal and external client software solutions. Designs, creates, and delivers routine to moderately complex program specifications for code development and support on multiple projects/issues with a wide understanding of the application / database to better align interactions and technologies. Analyzes, modifies, and develops moderately complex code/unit testing in order to develop concise application documentation. Performs testing and validation requirements for moderately complex code changes. Performs corrective measures for moderately complex code deficiencies and escalates alternative proposals. Participates in client facing meetings, joint venture discussions, vendor partnership teams to determine solution approaches. Provides support to leadership for the design, development and enforcement of business / infrastructure application standards to include associated controls, procedures and monitoring to ensure compliance and accuracy of data. Applies a full understanding of procedures, methodology and application standards to include Payment Card Industry (PCI) security compliance. Conducts and provides basic billable hours and resource estimates on initiatives, projects and issues. Assists with on-the-job training and provides guidance to other software engineers. What Are We Looking For in This Role? Minimum Qualifications BS in Computer Science, Information Technology, Business / Management Information Systems or related field Typically minimum of 4 years - Professional Experience In Coding, Designing, Developing And Analyzing Data. Typically has an advanced knowledge and use of one or more front / back end languages / technologies and a moderate understanding of the other corresponding end language / technology from the following but not limited to; t wo or more modern programming languages used in the enterprise, e xperience working with various APIs, external Services, e xperience with both relational and NoSQL Databases. Preferred Qualifications BS in Computer Science, Information Technology, Business / Management Information Systems or related field 6+ years professional Experience In Coding, Designing, Developing And Analyzing Data and experience with IBM Rational Tools What Are Our Desired Skills and Capabilities? Skills / Knowledge - A seasoned, experienced professional with a full understanding of area of specialization; resolves a wide range of issues in creative ways. This job is the fully qualified, career-oriented, journey-level position. Job Complexity - Works on problems of diverse scope where analysis of data requires evaluation of identifiable factors. Demonstrates good judgment in selecting methods and techniques for obtaining solutions. Networks with senior internal and external personnel in own area of expertise. Supervision - Normally receives little instruction on day-to-day work, general instructions on new assignments. Operating Systems: Linux distributions including one or more for the following: Ubuntu, CentOS/RHEL, Amazon Linux Microsoft Windows z/OS Tandem/HP-Nonstop Database - Design, familiarity with DDL and DML for one or more of the following databases Oracle, MySQL, MS SQL Server, IMS, DB2, Hadoop Back-end technologies - Java, Python, .NET, Ruby, Mainframe COBOL, Mainframe Assembler Front-end technologies - HTML, JavaScript, jQuery, CICS Web Frameworks - Web technologies like Node.js, React.js, Angular, Redux Development Tools - Eclipse, Visual Studio, Webpack, Babel, Gulp Mobile Development - iOS, Android Machine Learning - Python, R, Matlab, Tensorflow, DMTK .

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Reporting Development and Data Integration Assist with data projects related to integration with our core claims adjudication engines, eligibility, and other database items as necessary Support the data leads by producing ad hoc reports as needed based on requirements from the business Report on key milestones to our project leads Ensuring all reporting aligns with brand standards Ensuring PADU guidelines for tools, connections, and data security Build a network with internal partners to assist with validating data quality Analytical Skills Utilization Applying analytical skills and developing business knowledge to support operations Identify automation opportunities through the trends and day to day tasks to help create efficiencies within the team Perform root cause analysis via the 5 why root causing to identify process gaps and initiate process improvement efforts Assist with user testing for reports, business insights dashboards, and assist with automation validation review Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Degree or equivalent data science, analysis, mathematics experience Experience supporting operational teams' performance with reports and analytics Experience using Word (creating templates/documents), PowerPoint (creation and presentation), Teams, and SharePoint (document access/storage, sharing, List development and management) Basic understanding of reporting using Business Insights tools including Tableau and PowerBI Expertise in Excel (data entry, sorting/filtering) and VBA Proven solid communication skills including oral, written, and organizational skills Proven ability to manage emotions effectively in high-pressure situations, maintaining composure, and fosters a positive work environment conducive to collaboration and productivity Preferred Qualifications: Experience leveraging and creating automation such as macros, PowerAutomate, Alteryx/ETL Applications Experience working with cloud-based servers, knowledge of database structure, stored procedures Experience performing root cause analysis and demonstrated problem solving skills Knowledge of R/Python, SQL, DAX or other coding languages Knowledge of multiple lines of business, benefit structures and claims processing systems

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. At Optum AI, we leverage data and resources to make a significant impact on the healthcare system. Our solutions have the potential to improve healthcare for everyone. We work on cutting-edge projects involving ML, NLP, and LLM techniques, continuously developing and improving generative AI methods for structured and unstructured healthcare data. Our team collaborates with world-class experts and top universities to develop innovative AI/ML solutions, often leading to patents and published papers. Primary Responsibilities Develop and implement AI and machine learning strategies for several healthcare domains Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives Manage the development and deployment of AI and machine learning solutions Develop and run pipelines for data ingress and model output egress Develop and run scripts for ML model inference Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions Identify technical problems and develop software updates and fixes Develop scripts or tools to automate repetitive tasks Automate the provisioning and configuration of infrastructure resources Provide guidance on the best use of specific tools or technologies to achieve desired results Create documentation for infrastructure design and deployment procedures Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc. Lead and manage AI/ML teams and projects from ideation to delivery and evaluation Apply expertise in various AI/ML techniques, including deep learning, NLP, computer vision, recommender systems, reinforcement learning, and large language models Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelors/master degree in computer science, engineering, mathematics, statistics, or a related discipline 12+ years of experience in Software Engineering, Data Science, or Analytics with 8+ years of experience in AI/ML engineering or related fields Experience with cloud platforms and services, such as AWS, Azure, GCP, etc. Experience in developing solutions in the NLP space and relevant projects Hands on Experience in AI and drive the development of innovative AI and machine learning solutions Demonstrated experience in leading and managing AI/ML teams and projects, from ideation to delivery and evaluation Experience with Azure development environments Knowledge of NLP literature, thrust areas, conference venues, and code repositories Familiarity with both open-source and OpenAI LLMs and RAG architecture Familiarity with UI tools like Streamlit, Flask, FAST APIs, Rest APIs, Docker containers Understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering Proficient in Python and one of PySpark or Scala. Familiarity with python tools for data processing Proficiency in multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, deep learning, and NLP Proficiency in Python, R, or other programming languages for data analysis and AI/ML development Proficiency in libraries such as Hugging Face and OpenAI API Proven ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML) Proven excellent communication, presentation, and interpersonal skills, with the ability to explain complex AI/ML concepts and results to technical and non-technical audiences Proven solid analytical, problem-solving, and decision-making skills, with the ability to balance innovation and pragmatism Proeven passion for learning and staying updated with the latest AI/ML trends and research

job requisition idJR1027508 Overall Responsibilities: Experience with Machine Learning, Deep Learning, Computer Vision, NLP, Generative AI. Knowledge of algorithms, object-oriented and functional design principles, and best-practice patterns Solid understanding of common programming languages used in AI, such as Python, Java, C++, and R Advanced knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability Experience working with large data sets and writing efficient code capable of processing large data streams at speed. Skills: Machine Learning, Deep Learning, Computer Vision, NLP Strong hands-on experience in AI/ML/Data Science, including machine learning algorithms, deep learning, NLP, computer vision, etc. Knowledge of programming languages such as Python, R, SQL, etc. Experience with AI/ML/Data Science tools and frameworks such as TensorFlow, PyTorch, etc. Excellent problem-solving skills and ability to find creative solutions to complex data science problems. Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and clients Experience: Minimum 8-12 years of experience in AI/ML/Data Science, with at least 8+ years in a leadership role Proven track record of successfully delivering AI/ML/Data Science projects Experience in mentoring and leading a team of AI/ML/Data Science professionals Day-to-Day Activities: Lead AI/ML/Data Science projects, ensuring successful delivery Mentor and guide junior team members Collaborate with cross-functional teams to provide subject matter expertise in AI/ML/Data Science Stay updated with latest AI/ML/Data Science trends and technologies Identify and evaluate new business opportunities in AI/ML/Data Science Qualification: Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field Soft Skills: Excellent leadership and team management skills Strong interpersonal and communication skills Ability to work in a fast-paced and dynamic environment Good negotiation and stakeholder management skills Passionate about AI/ML/Data Science and staying updated with latest trends and technologies.

job requisition idJR1027352 Job Summary Synechron is seeking an analytical and innovative Senior Data Scientist to support and advance our data-driven initiatives. The ideal candidate will have a solid understanding of data science principles, hands-on experience with AI/ML tools and techniques, and the ability to interpret complex data sets to deliver actionable insights. This role contributes to the organizations strategic decision-making and technology innovation by applying advanced analytics and machine learning models in a collaborative environment. Software Required Skills: Python (including libraries such as pandas, scikit-learn, TensorFlow, PyTorch) proficiency in developing and deploying models R (optional, but preferred) Data management tools (SQL, NoSQL databases) Cloud platforms (preferably AWS or Azure) for data storage and ML deployment Jupyter Notebooks or similar interactive development environments Version control tools such as Git Preferred Skills: Big data technologies (Spark, Hadoop) Model deployment tools (MLflow, Docker, Kubernetes) Data visualization tools (Tableau, Power BI) Overall Responsibilities Analyze and interpret large and complex data sets to generate insights for business and technology initiatives. Assist in designing, developing, and implementing AI/ML models and algorithms to solve real-world problems. Collaborate with cross-functional teams including data engineers, software developers, and business analysts to integrate models into production systems. Stay current with emerging trends, research, and best practices in AI/ML/Data Science and apply them to ongoing projects. Document methodologies, modeling approaches, and insights clearly for technical and non-technical stakeholders. Support model validation, testing, and performance monitoring to ensure accuracy and reliability. Contribute to the development of data science workflows and standards within the organization. Performance Outcomes: Accurate and reliable data models that support strategic decision-making. Clear documentation and communication of findings and recommendations. Effective collaboration with technical teams to deploy scalable models. Continuous adoption of best practices in AI/ML and data management. Technical Skills (By Category) Programming Languages: Essential: Python (best practices in ML development), SQL Preferred: R, Java (for integration purposes) Databases/Data Management: SQL databases, NoSQL (MongoDB, Cassandra) Cloud data storage solutions (AWS S3, Azure Blob Storage) Cloud Technologies: AWS (S3, EC2, SageMaker, Lambda) Azure Machine Learning (preferred) Frameworks & Libraries: TensorFlow, PyTorch, scikit-learn, Keras, XGBoost Development Tools & Methodologies: Jupyter Notebooks, Git, CI/CD pipelines Agile and Scrum processes Security Protocols: Best practices in data security and privacy, GDPR compliance Experience 8+ years of professional experience in AI, ML, or Data Science roles. Proven hands-on experience designing and deploying ML models in real-world scenarios. Demonstrated ability to analyze complex data sets and translate findings into business insights. Previous experience working with cloud-based data science solutions is preferred. Strong portfolio showcasing data science projects, models developed, and practical impact. Alternative Pathways: Candidates with extensive research or academic experience in AI/ML can be considered, provided they demonstrate practical application of skills. Day-to-Day Activities Conduct data exploration, cleaning, feature engineering, and model development. Collaborate with data engineers to prepare data pipelines for model training. Build, validate, and refine machine learning models. Present insights, models, and recommendations to technical and business stakeholders. Support deployment of models into production environments. Monitor model performance and iterate to improve effectiveness. Participate in team meetings, project planning, and reviewing progress. Document methodologies and maintain version control of codebase. Qualifications Bachelors degree in Computer Science, Mathematics, Statistics, Data Science, or a related field; Masters or PhD highly desirable. Evidence of relevant coursework, certifications, or professional training in AI/ML. Professional certifications (e.g., AWS Certified Machine Learning Specialty, Microsoft Certified Data Scientist) are a plus. Commitment to ongoing professional development in AI/ML methodologies. Professional Competencies Strong analytical and critical thinking to solve complex problems. Effective communication skills for technical and non-technical audiences. Demonstrated ability to work collaboratively in diverse teams. Aptitude for learning new tools, techniques, and technologies rapidly. Innovation mindset with a focus on applying emerging research. Strong organizational skills to manage multiple projects and priorities.

CME Group is the leading exchange and clearing house for listed products. In its unique position as the most diverse clearing house, it is in the forefront of the clearing of OTC products, which is mandated by the financial reform. CME group has an immediate opening for a Pricing & Valuation Associate for cleared OTC products. The immediate focus of this role will be the daily pricing of cleared OTC products such as Interest Rate Swaps, Credit Default Swaps, FX, and Energy and answering client queries. The incumbent would also have to front run some of the strategic new product launch initiatives. She/He should be able to manage a small team of P&V analyst and should have prior experience liaising with teams spread across different geographical locations. Excellent interpersonal and communication skills are essential for this role. Primary Responsibilities & Tasks Includes: EOD Settlement of cleared OTC products Responsible for managing EOD reporting for OTC products Handling system related issue Working with IT teams to resolve the vendor data feed issues Ability to independently respond to inquiries from members and clients. Ability to put in place reconciliation processes and automate manual practices Ability to conduct research and present to Sr. Management. Qualifications / Experience: Should have around 3- 5 years of direct experience in IRS, CDS, FX, or Energy. Prior experience of OTC Settlements and Pricing/Valuation methodologies. Ideal candidate will have a broad knowledge of derivatives and fixed income securities. Who knows curve construction methodology for IRS products Should have basics of valuation (curve bootstrapping) Strong communication skills including strong presentation skills. Experience with Reuters Eikon and Bloomberg Terminal. In-depth knowledge of complex financial products. Certifications like MBA finance, CFA, CQF, FRM, PRM preferred . Skills/ Knowledge: Exceptional Excel / PowerPoint and written / verbal skills Strong quantitative, technical and analytical skills Results oriented ownership mindset Ability to multi-task and work under high pressure deadlines Ability to work cross-functionally with global Ops/IT teams. Exposure to skills VBA, Python, Tableau, R and Matlab are preferred. Basic experience with databases such as SQL and Oracle, data cleansing methodologies, and data transfer processes. curve bootstrapping or curve construction for IRS products

The Senior Analyst - MI COE role requires an experienced designer of data visualizations and complex reporting with a strong understanding of the Financial metrics and how they influence business performance. The Senior Analyst MICOE would be supporting the BI Product Manager Falcon in Touchless MI agenda for Lubricants projects by understanding the Business requirements and delivering the solutions as per expectation. Position description - Accountabilities Swift understanding of the business model, expectations from business, linking it to the business strategy and the way KPIs are measured. Creative in building visualizations in Microsoft Power BI and SharePoint in the best possible way to derive. Facilitate design review sessions with key stakeholders to refine and elaborate the data visualizations. Work on validation and testing to ensure it meets the requirements. Creates the design specification, deployment plans and other technical documents for respective design activities. Support to troubleshooting problems, providing workarounds etc., Estimates the magnitude and time requirements to complete all tasks and provides accurate and timely updates to the team on progress. Ensure on time, high quality deliverables and meeting project milestones and deadlines (Project Plan On A Page) with minimal supervision. Assists and mentors other team members in the business application, development technologies etc., Participates in peer review of work products such as code, designs, and test plans produced by other team members. Run and Maintain the tools. Work on change management for tools. Ensure IRM compliance of tools, maintain evidence for the user access management and support any system audit. Individual displaying strong personal effectiveness particularly in stakeholder management and analytical skills. Working in a Global and Cross cultural environment to be able to coach, motivate other team members. Required Skills & Experience 5-7 years in a role developing BI tools and data Expert knowledge of Power BI, familiarity with Power Platform Background in Financial Reporting is preferred Exceptional data modelling skills, especially harmonizing across diverse data sources. Demonstrated experience developing end to end data flow structures, resulting in intuitive BI dashboards with high uptake. Must be an analytical thinker, with a strong design sense, and understand implications of the various design options available for a given visualization. Candidates should be results driven, detailed orientated and work well within a dynamic and creative team. Candidates should have proven ability to work with end users to refine identified business needs through in-depth design reviews and information sessions. Possess good written and oral communication skills as well as presentation skills. Ability to learn quickly and adapt to new environments. Technical Skills Global reporting system exposure (GSAP, GPMR, HANA & ECC). Data modelling skills via: Alteryx, python, SQL Data extraction through SQL. Coding skills would be a plus (Python, VBA, R, etc.). - Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Shell/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell is an Equal Opportunity Employer.

Overview The Senior Data Science Engineer will leverage advanced data science techniques to solve complex business problems, guide decision-making processes, and mentor junior team members. This role requires a combination of technical expertise in data analysis, machine learning, and project management skills. Responsibilities Data Analysis and Modeling Analyze large-scale telecom datasets to extract actionable insights and build predictive models for network optimization and customer retention. Conduct statistical analyses to validate models and ensure their effectiveness. Machine Learning Development Design and implement machine learning algorithms for fraud detection, churn prediction, and network failure analysis. Telecom-Specific Analytics Apply domain knowledge to improve customer experience by analyzing usage patterns, optimizing services, and predicting customer lifetime value. ETL Processes Develop robust pipelines for extracting, transforming, and loading telecom data from diverse sources. Collaboration Work closely with data scientists, software engineers, and telecom experts to deploy solutions that enhance operational efficiency. Data Governance : Ensure data integrity, privacy, security and compliance with industry standards Advanced degree in Data Science, Statistics, Computer Science, or a related field. Extensive experience in data science roles with a strong focus on machine learning and statistical modeling. Proficiency in programming languages such as Python or R and strong SQL skills. Familiarity with big data technologies (e.g., Hadoop, Spark) is advantageous. Expertise in cloud platforms such as AWS or Azure.

Overview Prodapt Solutions is looking for a Business Analyst with telecom domain experience. *Should have handson in Lead to Cash journey - Processes and Systems for Cellular Mobile service for Enterprise or End to End VPN service for Enterprise, Non-Terrestrial Network, Cloud PBX stacks. *Should have solid understanding on different Service Fulfilment journey metrics. *Should have solid understanding of different BSS and OSS applications that support Lead to Cash journey. *Should have conducted workshops to gather requirements from stakeholders, presenting different solution options to architects. Responsibilities *Following OSS/BSS applications knowledge is mandatory - CRM, Product Catalog, Order Orchestration, Inventory management (Service inventory/Physical inventory), Provisioning & Activation system, Element Management System, Engineering workflow management. *Following Network OSS applications knowledge is desirable - Network Monitoring System, Test & Diagnostics application, Network performance management (monitoring, collecting data, reporting), Incident and Change management system. *Good knowledge on different CRM/BPM systems is mandatory. Knowledge on SalesForce, SNOW is desirable. *Should be able to evaluate internal functions, systems, business strategies and IT processes to find improvements that support Telco service provider’s future CRM strategies and goals. *Ability to use telecom, IT and enterprise architecture best practice methodologies, processes, functions, and data maps. *Technical specialist skills in software design and implementations, with experience of cloud and on-premises systems architecture *Accountable for ensuring project delivery of multi-domain BSS/OSS solutions. Ability to define and articulate complex architectures to non-technical stakeholders. *Produce and support the production of High Level Designs, Low Level Designs, test plans, Deployment Guidelines and TTO`s. *Work in cross-functional delivery teams including partners and vendors to support delivery throughout the delivery lifecycle and ensure solutions are delivered into production on time and meet the operational acceptance criteria. *Work closely with Network Design, Systems Development, Testing team, E2E Solution Architects, Operations teams. *Knowledge on APIs, Frameworx, Microservices, UML, TOSCA, NetConf/YANG, CI/CD, REST/Webservices, JSON, Postman, Agile Development is needed. *Knowledge on P/S/R catalog and specifications is desirable. Ability to work with stakeholders to create and define problem statements and root cause analysis Create and gather requirements from stakeholders, draw process diagrams, write user stories, ensuring documentation is complete, understandable, and unambiguous Validation of the documentation with stakeholders Capture and report back essential information from meetings Familiar with Agile principles and in using JIRA or ServiceNow SPM tool knowledge Use of collaboration and presentation tools like Mural Minimum Educational LevelBachelor Degree Min Experience (Years):5 Max Experience (Years):12

Minimum 3-4 years of relevant experience in building robust and scalable design Proficiency in UX design tools such as Figma, Sketch, Adobe XD, or InVision for creating wireframes, prototypes, and user flows. Ability to create and interpret personas, user journey maps, and task analysis to inform design decisions. Proficiency in designing intuitive, accessible, and responsive interfaces that comply with WCAG accessibility standards.

Minimum 12+ years of relevant experience in building software applications in data and analytics field Enhance the go-to-market strategy by designing new and relevant solution frameworks to accelerate our clients’ journeys for impacting patient outcomes. Pitch for these opportunities and craft winning proposals to grow the Data Science Practice. Build and lead a team of data scientists and analysts, fostering a collaborative and innovative environment. Oversee the design and delivery of the models, ensuring projects are completed on time and meet business objectives. Engaging in consultative selling with clients to grow/deliver business. Develop and operationalize scalable processes to deliver on large & complex client engagements. Extensive hands-on experience with Python, R, or Julia, focusing on data science and generative AI frameworks. Expertise in working with generative models such as GPT, DALL-E, Stable Diffusion, Codex, and MidJourney for various applications. Proficiency in fine-tuning and deploying generative models using libraries like Hugging Face Transformers, Diffusers, or PyTorch Lightning. Strong understanding of generative techniques, including GANs, VAEs, diffusion models, and autoregressive models. Experience in prompt engineering, zero-shot, and few-shot learning for optimizing generative AI outputs across different use cases. Expertise in managing generative AI data pipelines, including preprocessing large-scale multimodal datasets for text, image, or code generation.

Position Summary Job Responsibilities NA Education BE/B.Tech Master of Computer Application Work Experience Total 10+yrs. And Minimum of 6 years of relevant experience in product development . Experience in leading a team of technical team members Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Talent Management Technical Competencies Problem Solving Lifescience Knowledge Communication Project Management Attention to P&L Impact Business development Capability Building / Thought Leadership Scale of revenues managed / delivered Scale of Resources Managed

Position Summary To lead building high-performing, scalable, enterprise-grade applications with implementation of business rules. Job Responsibilities Lead a team of 2-4 development members. Design scalable and flexible business rules frameworks for the team to work on. Design and develop new and enhanced functionality in the Strategic Decision Making modules Explore and select existing business rules frameworks and software tools that can be leveraged for providing the solution Design the implementations for such frameworks or similar engine(s) and integrate them with existing Force.com platform based applications Hands on design and development of technical artifacts Create HLD and assist the team in creating LLDs. Guide the team to perform optimally by scheduled code reviews and feedbacks. Education BE/B.Tech Master of Computer Application Work Experience Total12yrs. And Minimum of 6 years of relevant experience in leading a team of technical team membersToal 15yrs. And Minimum of 9 years of relevant experience in leading a team of technical team members Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Talent Management Technical Competencies Problem Solving Lifescience Knowledge Communication Project Management Attention to P&L Impact Business development Capability Building / Thought Leadership Scale of revenues managed / delivered Scale of Resources Managed

Position Summary The Technical Instructional Designer is expected to define and document learning objectives, conduct research, and collaborate with subject experts, create/update instructional materialcourses, curriculum, student guides and training manuals. Job Responsibilities Training DevelopmentProduce meaningful product specific training materials for internal and external audiences that spans a wide range of technical users, Perform iterative updates to existing training material across the product platform, Write effective copy, instructional text, audio scripts/video scripts, Create visual, audio, and interactive learning solutions, Ability to skim through available technical content and identify opportunity for reuse Course design and/or planningAbility to create learning and instructional models that can be divided into courses, curriculum, student guides, and training manuals, Maximize adult learning methods, streamlining the structure and optimizing the course time for all training material, Excellent knowledge of learning theories and instructional design models Rapid Authoring tools (Articulate, Captivate), Video and audio editing (Camtasia, Adobe Creative Cloud tools like Premiere Pro, Photoshop, Illustrator), Experience with authoring and managing courses in an LMS. Understanding of tools used to create courses and trainings, Solid knowledge of course development software and at least one Learning Management System, Provide methods to track, plan, and create instructional content in an eLearning environment Education BE/B.Tech Master of Computer Application Work Experience The successful candidate must have a minimum of 4-years’ experience designing and creating professional technical product training content to optimize eLearning experiences. Technical writing and content Management experience for customer training purposes is a plus but is not required. Capable of managing and updating training content across multiple products. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Technical Competencies Problem Solving Communication Capability Building / Thought Leadership

Position Summary This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients Job Responsibilities Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery. Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis Ensure high-quality analytics solutions/reports to the client Delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation Effectively communicate with onshore/ client (as per business needs) Education Bachelor of Engineering in Statistics Work Experience Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python R SQL EXCEL MMx Forecasting Machine Learning Pharma Commercial Know How HEOR EPI and Economic Analysis HEOR Simulation Analysis Patient Data Analytics Know How Dataiku KNIME Others

Position Summary This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients Job Responsibilities Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery. Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis Ensure high-quality analytics solutions/reports to the client Delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation Effectively communicate with onshore/ client (as per business needs) Education BE/B.Tech in IT or Computer Master Diploma - Business Administration in Business Administration Work Experience Overall, 3-5years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Worked on advanced analytics in the pharma domain throughout the patient journey, like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, adherence, and patient identification, etc, using various data sources Experience using various patient-level data like APLD, LAAD, EMR, patient registries, Prescription data, formulary data, etc Strong in logical reasoning, structuring of analysis, asking the right questions, and logical approach to analyze data, problems, and situations. Experience in pharmaceutical sales and marketing analytics would be preferred Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills Good to have work experience in building statistical modeling and/or AI/ML models using Python, R-Studio, PySpark, Keras, and TensorFlow. Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python R SQL EXCEL Pharma Commercial Know How Others Patient Data Analytics