3878 R Jobs - Page 10

Working with Us Challenging Meaningful Life-changing Those aren't words that are usually associated with a job But working at Bristol Myers Squibb is anything but usual Here, uniquely interesting work happens every day, in every department From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams Take your career farther than you thought possible, Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives Read more: careers bms /working-with-us , The Senior Manager, US/WW Commercialization Forecastingleading US/WW Commercial Analytics forecasting teams, responsible for building team culture and capabilities at the new Hyderabad site This leader excels under pressure, driving delivery of secondary analytics and scaling AI&A capabilities, Core Responsibilities Of This Role Are Directly manage ~15-person analyst team that develop and maintain forecasting models for the US commercial teams, Core focus of the team will be analytics in support of the US/WW forecast across the BMS portfolio Additional responsibilities of the team will be to perform statistical analyses, data mining and predictive modelling to uncover trends and correlations, identify goals and KPIs to develop analytical frameworks, and prepare reports and presentations to communicate findings, insights, and recommendations to support forecasting decisions, Lead collaboration with Finance team to ensure efficient forecasting processes, data/information sharing, and insight generation related to forecast performance, Come with innovative ideas and advanced ways to do forecasting by leveraging AI/ML, statistics, KDAs to derive an integrated forecast, Partner with pod lead to lead the hiring and training processes, develop a training curriculum and play a key role in designing career development opportunities, In coordination with US based leaders, establish operating principles to guide working model between US / Hyderabad teams, creating a culture of connectivity and meaningful work within Hyderabad teams, Maintain close alignment of Hyderabad and global BIA priorities and standards by ensuring the delivery of high-quality outputs and implementing ways of working that drive efficiencies within a global operating model, Establish operating procedures, quality control measures, and productivity metrics for resource allocation and prioritization, Requirements: 9+ years pharmaceutical industry experience Bachelor's or master's degree in pharmacy, technology or engineering In addition, a strong record of analytic and quantitative work, Deep experience with short-term and Strategic forecast in Pharma industry Experience managing/leading large team(s) supporting US based stakeholders, Experience operating successfully in a complex organizational environment, Experience interacting with senior management, understanding, anticipating, and fulfilling their insight/ analytical information requirements Experience in working with US healthcare datasets ( e-g IQVIA/SHS National, Subnational, Patient Claims), data processing and visualization tools, and statistical software packages ( e-g , SQL, R, Python) Strong verbal/written skills, with the ability to effectively communicate with and strategically impact senior leadership, Strong project management and interpersonal skills, with the ability to lead diverse teams, influence cross functionally and manage a heavy workload, Strong creative problem-solving skills and business acumen, with the ability to identify key findings from disparate data sources to provide recommendations, Strong analytical skills with knowledge of qualitative design, data analysis and applied statistics If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway You could be one step away from work that will transform your life and career, Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as Transforming patients' lives through science?, every BMS employee plays an integral role in work that goes far beyond ordinary Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues, On-site Protocol Responsibilities BMS has an occupancy structure that determines where an employee is required to conduct their work This structure includes site-essential, site-by-design, field-based and remote-by-design jobs The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function, BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms Visit careers bms / eeo -accessibility to access our complete Equal Employment Opportunity statement, BMS cares about your well-being and the well-being of our staff, customers, patients, and communities As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters, BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area, If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers bms /california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations, Show

Division Manufacturing Department Active Pharmaceutical Ingredient Sub Department 1 Engineering - API Job Purpose The incumbent is a team member of Unit Engineering Maintenance & Reliability Team and carries overall responsibility to: 1.Execute the maintenance activities in the plant & ensure the minimum Instrumentation & Automation breakdown with maximum efficiency by following safety & GMP Standards 2.Support EM & R Senior Instrumentation Engineer in carrying out Functional EM&R Planning, Detailed Scheduling and Execution of CMP to- ensure continuity of availability of plant & equipment at optimal cost; achieve standard capacity; ensure overall plant & equipment integrity & reliability - in compliance with Cipla Policies, Standards & Procedures; Reporting of EM&R MIS, Incidents & Deviations @ SOP; Instrumentation Engineer is responsible for executing maintenance tasks as assigned by Senior Engineer for his function in the Manufacturing & Packing Area. Where outsourced, 3rd Party Instrumentation Engineer is accountable for the Service Floor / Technical Floor maintenance execution Key Accountabilities (1/6) I. Shift Maintenance Activity: Execute maintenance activities in a shift by managing available resources to achieve shift maintenance plan. ¢ Execute assigned tasks as per planned Instrumentation & Automation maintenance activity to meet maintenance targets for a shift ¢ Cater to machine maintenance requirements of Unit as a responsible member of the team with overall ownership of Unit Operations. ¢ Increase the efficiency of area by ensuring better utilization of equipment and by reducing downtime in manufacturing area ¢ Prepare and submit Instrumentation shift engineer report to ensure smooth shift handover II. Comprehensive Maintenance Plan Execution: Give inputs for preparing & adhere to unique planner for planned preventive maintenance & instrument calibrations for effective maintenance and adherence to standards. ¢ Schedule shift activities in line with the CMP including PM, Calibration, and condition monitoring activities. ¢ Execute planned Instrumentation & Automation maintenance and update related documentation o Preventive Maintenance o Calibration o Condition Monitoring o Planned Corrective Actions ¢ Follow good Engineering practices during planned preventive activity. ¢ Perform validation, qualification and calibration as per schedule and update output of all activities in the systems ¢ Prepare new documents and update existing documents as per GMP requirement ¢ Update Metrics on Schedule compliance III. Breakdown Maintenance: Handle breakdown maintenance to avoid recurrence and maintain continuous process operations ¢ Execute Instrumentation & Automation breakdown work expeditiously but safely and in compliance with cGMP. ¢ Receipt and tracking the job card for the break down activity ¢ Maintain critical Instrumentation & Automation spares inventory of all machines to reduce resolution time Key Accountabilities (2/6) IV. Efficient Equipment Operation: Operate the equipment efficiently without error and deviation as per SOP to meet shift targets ¢ Operate an equipment only when trained and authorized to do it. ¢ Perform unit operations as per SOP & unit processes as per work instructions ¢ Maintain equipment, facility and block premises as per SOP for audit readiness. Ensure equipment, facility and block premises are maintained as per regulatory compliance ¢ Ensure all operations are performed as per GMP & Safety norms by reviewing all processes and documents for compliance ¢ Maintain system integrity by updating documentations and deviations on CipDox while performing operations V. New Technology / Capex: Use new technologies initiated by Management while adhering to CAPEX and OPEX targets to improve Machine/system performance ¢ Implement new technologies in the plant initiated by management ¢ Attend planned trainings and incorporate the learnings on the floor for improving machine performance ¢ Implement and close ideas generated through internal audits / Idea generation sessions ¢ Monitor present energy use of the plants to identify and report areas for energy conservation ¢ Implement Energy Conservation activities to improve the equipment efficiency, reduce error and reduce production cost ¢ Identify areas of improvement in instrumentation functoin for waste & work simplification ¢ Manage activities to operate within budget and to reduce operating expenses ¢ Verification of the contract invoices and making of the job orders as per estimates VI. Spares Management: Perform Material and Spare management and issue Consumables, spares, materials, log books etc. to avoid delays due to unavailability of materials ¢ Issue required Instrumentation & Automation materials (spares and consumables) to the contractors from stores and make SAP entries for the receipts and issuance ¢ Maintain the inventory of critical spares and consumables by tracking consumption and monitoring of stocks ¢ Assess log book requirements, raise the request to QA and issue them within required timelines ¢ Classify the unused / spare / usable scrap materials or components and reuse the same where ever possible Key Accountabilities (3/6) VII. EHS Compliance: maintain high level of Safety during maintenance to avoid major breakdown and report accidents/ incidences ¢ Complete preplacement Safety Training before starting the work in any area. ¢ Monitor safe operations of the machine as per SOP and timely report any safety deviations ¢ Maintain proper procedures for safety permits in plant Ensure safety systems and procedures followed by the operators in the shift ¢ Issue work permits to contractual staff after verifying the safety aspects, monitoring and communicating safety hazards and safety near miss to the concern. ¢ Ensure availability and usage of PPEs in the shift by coordinating with EHS department for requirements and shift schedule; Ensure usage and maintenance of PPEs by self & other workmen during shifts ¢ Report any safety incident to the Shift In charge as well as the Senior Engineer for the following o Near Miss o Safety Incident o Work Place Inspection o Unsafe Act o Unsafe Condition ¢ Attend safety meetings and ensure implementation of actions planned during departmental safety meeting at shop floor ¢ Ensure compliances to safety training targets by monthly reconciling attendance records VIII. cGMP Compliance: Execute and update online documentation to meet cGMP requirements ¢ Complete preplacement cGMP Training before starting the work in any area. ¢ Monitor cGMP compliance in the impact domain and report any incident / cGMP deviation to the Shift In charge as well as the Senior Engineer. ¢ Maintain online instrumentation documentation and timely entries in all documents in cGMP environment and their supporting documents ¢ Check documentation before submission to ensure data integrity. In case of any deficiency or errors in documents and rectify them as per SOP ¢ Conduct training related to cGMP, equipment operation, safety and housekeeping for workmen ¢ Optimize the use of resources in housekeeping; Ensure good housekeeping and sanitisation as per the guidelines ¢ Operate software such as SAP, CipDox and QMS as required and basis training & certification. ¢ Execute CAPA as guided by the Instrumentation Senior Engineer. ¢ Prepare and maintain engineering documents wrt cGMP and Good Engineering Practices Key Accountabilities (4/6) IX. Continuous Improvements: Provide suggestions for optimization of processes to manufacture quality product ¢ Propose and implement new idea to enhance production, optimise the use of consumable goods and maximum utilization of resources ¢ Provide new ideas and simplify processes to reduce process cycle time and achieve new targets ¢ Participate in internal audits / Idea generation sessions to improve on deficiencies to verify GEP and GMP. ¢ Implement action plans for improving on deficiencies observed through internal / external audits X. [E] Self Development on functional & leadership aspects ¢ Keep self-updated on regulatory guidelines and product regulatory requirements of all markets to which product manufactured by the Site is exported. ¢ Undergo training on Functional & Leadership capability building as per guidance from HR function and the Global Operations Team. Key Accountabilities (5/6) Key Accountabilities (6/6) Major Challenges CapEx and OpEx Adherence to the budget Cost vs performance trade off in equipment Ageing Asset leading to escalating OpEx Cost Challenges around capability & competence of personnel and service providers Key Interactions (1/2) Internal ¢ Central Engineering for technical standards and guidance ¢ EHS for safe operations and near-misses ¢ Site head & Unit heads for Proposals, breakdowns and developments ¢ Indirect purchase for Spares, scope, insurance and new vendors ¢ Central purchase for provide Technical inputs and clarifications for CAPEX ¢ Global Leadership Team Guidance & Updates in TLT, Focus Calls & Reviews ¢ Corporate Affairs & Legal Team Guidance & Updates on Compliance matters External ¢ OEMs for projects , automations, alternate vendor development , quality issues and maintenance ¢ Facility maintenance contractors for Improve maintenance and quality standards ¢ Industry Bodies Connect on external benchmarking & information on technology evolution ¢ Statutory Bodies Connect for Regulatory compliance Key Interactions (2/2) Dimensions (1/2) Direct Reports: 0, Team Size 9-12 Unit Maintenance + Utility Budget: 15-20 CR [ Functional ~ 33% of this] Capex Budget: Sustenance 10 CR [ Functional ~ 33% of this] Revenue of Goa I: 300-400 CR Current Replacement value of Assets Maintained: Net Block > 50 CR; CRV > 200 CR Dimensions (2/2) Key Decisions (1/2) Decisions ¢ Spends within Approved Budget Capex & Opx ¢ Maintenance & Reliability Strategies ¢ Engineering & Project Vendors & service Providers as per EA ¢ Technology for Manufacturing ¢ Resource Conservation initiatives ¢ Capability Programs Recommendations ¢ Opex & Project costs Proposal ¢ New vendor addition ¢ Facility audits ¢ Hiring consultants ¢ New equipment & Technology Key Decisions (2/2) Education Qualification BE / B Tech (Mechanical / Electrical / Instrumentation) Relevant Work Experience 2-5 years of experience in manufacturing (Maintenance and Projects). Ability to implement new techniques, deep understanding of manufacturing process, planning and organizational skills, prioritization multi-tasking, understanding of financial concepts Good technical knowledge of Pharma / API machinery and utility requirements Good knowledge and experience in execution of green field / brown field project Knowledge of GMP and various regulatory requirements Good leadership skills and experience in industrial automation

What is the AI/ML Engineer in FTT AI & Digital Transformation group responsible for? The AI/ML Engineer in the FTT AI & Digital Transformation group is responsible for researching and developing state-of-the-art generative AI tools and products. These tools aim to enhance the productivity and efficiency of our internal teams, specifically the sales, distribution, and operations teams. The role involves conducting extensive research and performing proof-of-concept work to validate the feasibility and effectiveness of AI models. The engineer will collaborate with cross-functional teams to integrate AI solutions seamlessly into existing workflows. Additionally, the AI/ML Engineer is expected to stay abreast of the latest advancements in AI and machine learning to ensure our solutions are cutting-edge and competitive. Research and Proof-of-Concept Work: The role includes a significant focus on research work to explore the potential of new AI technologies and methodologies. This involves experimenting with different algorithms and models to identify the most effective solutions for our needs. Proof-of-concept work is crucial to demonstrate the practicality and benefits of these AI solutions before full-scale implementation. What are the ongoing responsibilities of AI/ML Engineer? Developing AI-powered tools: Design, implement, and maintain generative AI systems to support the needs of internal teams. Ensure these tools are scalable, reliable, and efficient for daily use. Conducting research: Regularly explore and analyze new AI trends and technologies to incorporate the latest advancements into our products. This includes reading research papers, attending conferences, and participating in industry forums. Proof-of-concept (PoC) work: Create PoCs to evaluate the feasibility and performance of different AI models. Use these PoCs to demonstrate the potential benefits to stakeholders and guide decision-making. Collaborating with teams: Work closely with sales, distribution, and operations teams to understand their needs and challenges. Tailor AI solutions to address specific pain points and improve overall efficiency. Data preprocessing and analysis: Clean, preprocess, and analyze large datasets to extract meaningful insights. Use these insights to train and optimize AI models. Integration and deployment: Integrate AI models into existing systems and workflows. Ensure smooth deployment and monitor the performance of these models in a production environment. Documentation and reporting: Maintain comprehensive documentation of AI models, algorithms, and systems. Regularly report progress and results to stakeholders. Mentorship and knowledge sharing: Provide guidance and mentorship to junior team members. Share knowledge and best practices to foster a collaborative and innovative work environment. What ideal qualifications, skills & experience would help someone to be successful? Bachelors degree in computer science, Data Science, Machine Learning, or a related field. A masters or Ph.D. is preferred. Strong understanding of machine learning algorithms, deep learning frameworks, and statistical analysis. Proficiency in programming languages such as Python, R, or Java. Work Experience: 2-4 years of experience in AI/ML engineering or a related field. Proven track record of developing and deploying AI solutions in a production environment. Experience with data preprocessing, model training, and optimization techniques. Familiarity with cloud platforms and tools for AI/ML development and deployment. Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. Job Level - Individual Contributor Work Shift Timing - 2:00 PM - 11:00 PM IST

What is the Director - Research Scientist AI & Optimization responsible for? The core mandate of this role is to bring innovative digital investment products and solutions to market, leveraging a patented and innovative digital WealthTech/FinTech product - Goals Optimization Engine (GOE) - built with several years of academic research in mathematical optimization, probability theory and AI techniques at its core. The mandate also extends to leveraging cutting edge AI, such as Generative AI, in addition to Reactive AI to create value within various business functions within Franklin Templeton such as Investment Solutions, Portfolio Management, Sales & Distribution, Marketing, and HR functions, among others, in a responsible and appropriate manner. The possibilities are limitless here and present a fantastic opportunity for a self-motivated and driven professional to make significant contributions to the organization and to themselves. What are the ongoing responsibilities of a Director - Research Scientist AI & Optimization? As a Principal Research Scientist - AI and Optimization, you will play a pivotal role in driving innovation, product research, and proof of concepts for our AI research and Goals Optimization Engine (GOE) product roadmap. You will be responsible for mentoring and guiding a team of highly motivated research scientists, creating intellectual property, and ensuring successful client deployments and product development. Key Responsibilities: Innovation, Product Research, Proof of Concepts, Pseudocode & Design (40%): Lead and contribute to the multi-year Goals Optimization Engine (GOE) product roadmap, conceptualizing fitment against various industry use cases, creating product variants, and designing new features and enhancements across multiple distribution lines and geographies Mentor and guide a team of research scientists to achieve common objectives Serve as the Subject Matter Expert (SME) for a specific domain within AI and/or Optimization, acting as the go-to person for all internal stakeholders Develop pseudocode and working prototypes in a Python environment, collaborating closely with Product Managers and Product Developers Create well-articulated design documents and presentations to explain research to internal and external stakeholders, including clients and partners located globally Lead industry research and evaluate partnerships with third-party vendors and specialized service providers where appropriate Maintain a thorough understanding of boundary conditions, regulatory environments, data challenges, technology integrations, algorithmic dependencies, and operational process nuances to ensure nothing slips through the cracks Stay up to date with the latest developments in the Investment Management industry, Financial Mathematics, Portfolio Construction, and Portfolio Management IP Creation, Paper Writing, and Thought Leadership (30%): Conceptualize and produce high-quality intellectual property for publication in top-tier academic and practitioner journals Peer-review the work of other research scientists and improve the outcome of their research output Create patent-worthy intellectual content, apply for patents, and win them Take responsibility for winning industry awards for exceptional product research and innovative work products Stay informed about the latest industry research and evaluate it objectively and in an unbiased manner Publish research works for conferences Client Deployment, Product Development, and Vendor Due Diligence (30%): Act as the SME in initial client deployment discussions, showcasing the rigor of research, explaining the product or solution concept, and engaging in discussions with similar individuals/teams from the client/partner side Contribute to product development by ensuring alignment with research and design Provide hands-on support where required to complete time-critical work successfully Engage with third-party vendors and potential integration partners to understand their capabilities, methodologies, and algorithms, and perform rigorous due diligence to make clear recommendations on Go/No-Go decisions What ideal qualifications, skills & experience would help someone to be successful? Education: Bachelor's and master's degree in STEM disciplines; a PhD in a relevant discipline (Optimization, Probability, Quant Finance, AI & ML, Computational Mathematics, Statistics, etc.) would be a + Relevant industry certifications Experience - Core Skills: 10+ years of applied R &D experience in research departments of reputed organizations post-Masters or PhD Track record of real innovation generating impact is essential Demonstrated ability to create intellectual content, publish papers, and obtain patents Ability to effectively bridge the gap between academia and practice, ensuring research is practical and implementable Structured thinking and exceptional mathematical skills Excellent team player with the ability to work with ambiguity and thrive in chaos Familiarity with ML/DL/DRL, NLP, especially Large Language Models, dynamic programming, and/or convex optimization Solid experience with AWS and/or Azure Familiar with Python, PySpark, SQL, Hadoop, C++ Experience - Other Soft Skills: Proven ability to take initiative and work under pressure in a changing, fast paced environment Exceptional decision-making skills, with the ability to prioritize across needs given limited resources Thrives in a startup-like environment: loves dealing with a fast pace and changing needs Ability to build relationships both inside and outside of the product organization Ability to narrate a story for a problem along with the capacity to dive into minute details Superlative communication and consensus-building skills Work Shift Timings - 2:00 PM - 11:00 PM IST

Summary Are you passionate about the intersection of data, technology and science, and excited by the potential of Real-World Data (RWD) and AIDo you thrive in collaborative environments and aspire to contribute to the discovery of groundbreaking medical insightsIf so, join the data42 team at Novartis! At Novartis, we reimagine medicine by leveraging state-of-the-art analytics and our extensive internal and external data resources Our data42 platform grants access to high-quality, multi-modal preclinical and clinical data, along with RWD, creating the optimal environment for developing advanced AI/ML models and generating health insights Our global team of data scientists and engineers utilizes this platform to uncover novel insights and guide drug development decisions, As an RWD SME / RWE Execution Data Scientist, you will focus on executing innovative methodologies and AI models to mine RWD on the data42 platform You will be the go-to authority for leveraging diverse RWD modalities patterns crucial to understanding patient populations, biomarkers, and drug targets, accelerating the development of life-changing medicines, About The Role Duties and Responsibilities: Collaborate with R&D stakeholders to co-create and implement innovative, repeatable, scalable and automated data and technology solutions in line with data42 strategy, Be a data Subject Matter Expert (SME), understand Real World Data (RWD) of different modalities, vocabularies (LOINC, ICD, HCPCS etc), non-traditional RWD (Patient reported outcomes, Wearables and Mobile Health Data) and where and how they can be used, including in conjunction with clinical data, omics data, pre-clinical data, and commercial data, Contribute to data strategy implementation such as Federated Learning, tokenization, data quality frameworks, regulatory requirements (submission data to HL7 FHIR formats conversion, Sentinel initiative), conversion to common data models and standards (OMOP, FHIR, SEND etc), FAIR principles and integration with enterprise catalog Define and execute advanced integrated and scalable analytical approaches and research methodologies (including industry trends) in support of exploratory and regulatory use of AI models for RWD analysis across the Research Development Commercial continuum by facilitating research questions, Stay current with emerging applications and trends, driving the development of advanced analytic capabilities for data42 across the Real-world evidence generation lifecycle, from ideation to study design and execution, Demonstrate high agility working across various cross-located and cross-functional associates across business domains (commercial, Development, Biomedical Research) or Therapeutic area divisions for our priority disease areas to execute complex and critical business problems with quantified business impact/ROI, Ideal Candidate Profile PhD or MSc in a quantitative discipline ( e-g , but not restricted to Computer Science, Physics, Statistics, Epidemiology) with proven expertise in artificial Intelligence / Machine Learning, 8+ years of relevant experience in Data Science (or 4+ years post-qualification in case of PhD), Extensive experience in Statistical and Machine Learning techniques: Regression, Classification, Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering, Time Series Forecasting, Text Mining, and Natural Language Processing, LLMs, and multi-modal Generative AI, Good to have skills: Stochastic models, Bayesian Models, Markov Chains, Optimization techniques including, Dynamic Programming Deep Learning techniques on structured and unstructured data, Recommender Systems, Proficiency in tools and packages: Python, R(optional), SQL; exposure to dashboard or web-app building using PowerBI, R-Shiny, Flask, open source or proprietary software and packages is an advantage, Knowledge in data standards e-g OHDSI OMOP, and other data standards, FHIR HL7 for regulatory, and best practices, Good to have: Foundry, big data programming, working knowledge of executing data science on AWS, DataBricks or SnowFlake Strong in Matrix collaboration environments with good communication and collaboration skills with country/ regional/ global stakeholders in an individual contributor capacity, Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve, Why Novartis: Helping people with disease and their families takes more than innovative science It takes a community of smart, passionate people like you Collaborating, supporting and inspiring each other Combining to achieve breakthroughs that change patientslives Ready to create a brighter future togetherhttps:// novartis / about / strategy / people-and-culture Join our Novartis Network: Not the right Novartis role for youSign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork novartis /network Benefits and Rewards: Read our handbook to learn about all the ways well help you thrive personally and professionally: https:// novartis /careers/benefits-rewards Show

Job Description About the Position We have an excellent opportunity available for a Analyst to make a difference at Kraft Heinz The Analyst role lies within the newly created Analytics Centre of Excellence within the Global Business Services organization The Analytics COE has been set up to build, maintain and enhance analytical products for our business to generate actionable insights from data and make better informed decisions Youll be working on the development, delivery and continuous improvement of Kraft Heinz Analytics Products including Tableau Visualizations, Data Solutions and Advanced Analytics tools By using data and analytics, we are looking for a talented individual to provide an understanding of business problems and translate these into requirements & development of analytical solutions, Key Responsibilities Design and deliver the appropriate analytical approach to address key issues within the organization, by understanding the business problem (through discovery sessions with business SMEs) and translating into analytical requirements, Gather detailed user requirements and collaborate with a cross-functional team to deliver high quality results (such as data engineers, business users), Manage the delivery of analytical tools from discovery, build and ongoing iterative development Manage the communication with the business SMEs throughout, Build, maintain and enhance analytical solutions including performant Tableau dashboards and interactive reports across multiple functions and disciplines within Kraft Heinz globally, Manage and coach junior analysts on the analytical development of solutions, Build workflows or scripts that facilitate data preparation, data cleansing and rapid prototyping, Automate repetitive manual tasks and support the development process to improve speed to insight, Build strong relationships with business stakeholders and work hand in hand to deliver analytical solutions, Gather user feedback and bugs and manage in a backlog, ordering per business priority Work in Agile Sprints to execute the backlog, Execute enhancement requests to further improve products post go-live to drive adoption and support change management, Ensure thorough testing of products in lower environments before go-live, after which the candidate must manage and fix any bugs to ensure consistency in the tools, Raise issues and risks in a timely manner to project manager to ensure appropriate actions can be taken to mitigate, Ensure effective and timely delivery of project work, Qualifications & Experience Bachelor or Master degree Preference for business, computer science, statistics, data science 3-5 years of relevant experience, preferably as an analyst or Tableau developer FMCG experience highly desired by not essentials, Strong analytical skills Language Knowledge English Solid experience building Interactive Visualizations such as Tableau, Hands on experience in Programming Languages such as Python, R or any other programming languages Hands on experience building extract, transform, load (ETL) data pipelines and SQL skills Excellent communication skills with ability to understand and translate business problems and logic into analytical requirements Ability to simplify complex logic and present clearly to business stakeholders Understanding of numbers, ability to sense check independently Understanding of and working against the importance of managing deadlines Demonstrated experience collaborating with multiple stakeholders across functions and time zones Experience in a dynamic and fast-paced environment Experience and understanding of statistical analysis is a plus Experience working in an Agile DevOps team is highly desirable Professional Attributes Communication Skills At Kraft Heinz youll easily be exposed to senior management, no matter your level Therefore, its important you have excellent communication skills, to deal with all kinds of different stakeholders, Analytical o Were a very data driven company You know how to translate complex data into a simple solution with your analytical mindset, Curiosity, positivity & enthusiasm Youre curious, positive and enthusiastic People know you as the driver of the team, Project management skills Time management has no secrets for you Youre organized, structured and always have an overview of all the deliverables You know how to bring multiple projects to a successful ending within the given timeframe, Team player Achieving results is nice, but achieving results with the team is simply the best Youre a team player, which means youre sometimes a leader, sometimes a follower but always working towards the same common goal together with your teammates, What we offer you An ambitious employer; we only want to the best for you; A fast career track like only few other companies can match; A competitive salary Always room for new ideas; if you have an excellent idea, please let us know and we can set it in action! Location(s) Ahmedabad Venus Stratum GCC Kraft Heinz is an Equal Opportunity Employer Underrepresented Ethnic Minority Groups / Women / Veterans / Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes, Show

Job title: Senior Analyst Market Access Analytics (Pricing Analytics Team) Hiring Manager: Manager/Team Lead/Group Lead Location: Hyderabad % of travel expected: Travel required as per business need, if any Job type: Permanent and Full time About The Job Our Team: Sanofi Global Hub (SGH) is an internal Sanofi resource organization based in India and is setup to centralize processes and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, and R&D, Data & Digital functions SGH strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, and Commercial organizations in Sanofi, Globally, Main Responsibilities We are seeking a highly skilled and experienced individual to join our team as senior analyst for Pricing Analytics Team This pivotal role will be responsible for spearheading all development activities related to pricing reporting solutions and market access analytics, The Overall Purpose And Main Responsibilities Are Listed Below At our Sanofi we are leveraging analytics and technology, on behalf of patients around the world We are seeking those who have a passion for using data, analytics, and insights to drive decision making that will allow us to tackle some of the worlds greatest health threats, Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management, Deliverables support planning and decision making across multiple functional areas such as finance, manufacturing, product development and commercial, In addition to ensuring high-quality deliverables, our team drives synergies across the franchise, fosters innovation and best practices, and creates solutions to bring speed, scale and shareability to our planning processes As we endeavour, we are seeking a dynamic talent for the role of Senior Analyst We are looking for a team member to support our analytics team based out of US Robust analytics is a priority for our businesses, as the product potential has major implications to a wide range of disciplines, It is essential to have someone who understands and aspires to implement innovative analytics techniques to drive our insights generation, People: Maintain effective relationship with the end stakeholders within the allocated GBU and tasks with an end objective to develop report and analysis as per requirement Collaborate with global stakeholders for project planning and setting up the timelines and maintaining budget Performance indicators: Feedback from (end stakeholders) on overall satisfaction Performance: Ability to translate business question to analytical requirement and work on it to develop reports/decks with minimum supervision, Experience working on patient analytics report and dataset such as LAAD, APLD and IQVIA Sales data Collaborates with Digital to enhance data access across various sources, develop tools and process to constantly improve quality and productivity, Will assist in managing business rules, definition and KPIs for reporting and insight, He/she will ensure on time and accurate delivery of all analytics and reporting requirement by collaborating with relevant stakeholders, He/she will ensure reports, decks and metrics are maintained as per requirements Pro-actively identifying analytical requirements, Building advance tools, automatization and/or improvement processes for analytical and other needs Performance indicators: Adherence to timeline, quality target Process: Secure adherence to compliance procedures and internal/operational risk controls in accordance with all applicable standards Use latest tools / technologies / methodologies and partner with internal teams to continuously improve data quality and availability by building business processes that support global standardization Ability to work cross-functionally, gather requirements, analyse data, and generate insights and reports that can be used by the GBU Performance indicators: Feedback from stakeholders on satisfaction with deliverables Stakeholder: Work closely with global teams and/ external vendors to ensure the end-to-end effective project delivery of the designated publication/medical education deliverables Work collaboratively with the stakeholder teams to prioritize work and deliver on time-sensitive requests Performance indicators: Feedback from stakeholders on satisfaction with deliverables About You Experience: 4+ years relevant work experience with solid understanding of principles, standards, and best practices in Insight Generation and storytelling from data analysis In-depth knowledge of IQVIA, APLD, LAAD, Speciality Pharma and Distributor, Claims data etc Soft skills: Strong learning agility; Ability to manage ambiguous environments, and to adapt to changing needs of the business; Good interpersonal and communication skills; strong presentation skills a must; Team player who is curious, dynamic, result oriented and can work collaboratively; Ability to think strategically in an ambiguous environment; Ability to operate effectively in an international matrix environment, with ability to work across time zones; Demonstrated leadership and management in driving innovation and automation leveraging advanced statistical and analytical techniques Technical skills: Expert in Relational database technologies and concepts Proficient with pharmaceutical syndicated data sources ( e-g APLD, LAAD, Speciality Pharmacy and Distributor data) Capable of prioritizing and handling multiple projects simultaneously Excellent planning, design, project management and documentation skills Excellent management of customer expectations, listening, and multi-tasking skills, Ability to take initiative, follow through, and meet deadlines as necessary while maintaining the quality Proficiency of programming languages SQL, Python, R Strong experience using analytical platforms ( e-g , Snowflake) Experience of using analytical tools like Power BI and Tableau Expert knowledge of Excel ,PowerPoint and proficiency in VBA An aptitude for problem solving and strategic thinking Ability to synthesize complex information into clear and actionable insights Proven ability to work effectively across all levels of stakeholders and diverse functions Solid understanding of pharmaceutical contracting entities and landscape ( e-g Payers, GPOs, Buy and Bill) Demonstrated leadership and management in driving innovation and automation leveraging advanced statistical and analytical techniques Education: Bachelors or Masters degree in areas such as Information Science / Operations / Management / Statistics / Decision Sciences/Engineering/Life Sciences/ Business Analytics or related field ( e-g , PhD / MBA / Masters); Languages: Excellent knowledge in English and strong communication skills written and spoken Other Requirement: This role is a sole contributor focused on development, delivery and communication of insights nullPursue Progress Discover Extraordinary, Join Sanofi and step into a new era of science where your growth can be just as transformative as the work we do We invest in you to reach further, think faster, and do whats never-been-done-before Youll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve Ready to chase the miracles of science and improve peoples livesLets Pursue Progress and Discover Extraordinary together, At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law, Show

The Investment Risk Team's primary function is to provide the second line of defense for Investment Risk. We are looking for an Investment Risk Manager to join the Investment Risk Team in India. The primary function of this position is to assess daily derivative usage and liquidity across FT funds, leverage the technical skills to enhance the team's data analytics capabilities. The candidate is expected to achieve Business Intelligence and Engineering by understanding existing internal tools and data warehouses and to identify data quality and reliability improvements and to establish best practices. What are the ongoing responsibilities of this position? Identify, monitor, and communicate issues related to regulatory risks. Leverage the technical skills to enhance the team's data analytics capabilities. Assess daily derivative usage and liquidity across FT funds Identify, reconcile and resolve data issues related to derivative and liquidity calculation. Assess and analyse the accuracy and quality of the underlying data and provide commentary for the risk trends. Design, develop, test, automate, and launch new dashboards and reporting solutions across the Regulatory risk team Ensure reports are delivered to the appropriate client(s) and/or provided via automated processes to downstream systems by the agreed upon date Create and run standard reports and queries Review automated validation controls and complete issue resolution process Respond to ad-hoc requests for portfolio risk statistic information, and perform ad hoc analyses, such as stress tests, sensitivity or hedging analysis given various market conditions Ensure client requirements understood during product launch and account on-boarding and internal systems/processes are updated support requirements Remain current on portfolio and market risk related trends, topics, issues, systems and analytical techniques What qualifications, skills and experience would help someone to be successful? Bachelors degree (Masters preferred) in finance, Computer Science, Mathematics or other quantitative discipline CFA or FRM designation preferred. 5 - 10 years relevant work experience in the Mutual Fund/Financial Services Industry Experience with global regulatory rules including 18f4, SEC 22e-4 and UCITS liquidity requirements. Experience with VaR and other risk metrics Experience in programming languages, preferably VBA or R/Python, Power BI, Tableau or other data visualization tools Experience in SQL experience for data extraction, manipulation and analyses; including complex joins. Experience using financial/risk application/software, Bloomberg, MSCI Barra Risk Model, FactSet, and Morningstar Knowledge of statistical calculations, financial instruments and markets, GIPS Composite Strong verbal and written communications skills Strong attention to details and excellent analytical skills Ability to work independently, perform mathematical calculations (or analysis and to exercise independent judgment consistent with department guidelines Ability to organize and prioritize workflow and to coordinate the work of others Ability to maintain updated knowledge of procedures, products and activities of assigned area Ability to accurately proofread documents and work under pressure, and the ability to perform multiple tasks in a fast-paced, team environment. Job Level - Individual Contributor Work Shift Timings - 2:00 PM 11:00 PM IST

What is the AI/ML Senior Engineer in FTT AI & Digital Transformation group responsible for? The AI/ML Engineer in the FTT AI & Digital Transformation group is responsible for researching and developing state-of-the-art generative AI tools and products. These tools aim to enhance the productivity and efficiency of our internal teams, specifically the sales, distribution, and operations teams. The role involves conducting extensive research and performing proof-of-concept work to validate the feasibility and effectiveness of AI models. The engineer will collaborate with cross-functional teams to integrate AI solutions seamlessly into existing workflows. Additionally, the AI/ML Engineer is expected to stay abreast of the latest advancements in AI and machine learning to ensure our solutions are cutting-edge and competitive. Research and Proof-of-Concept Work: The role includes a significant focus on research work to explore the potential of new AI technologies and methodologies. This involves experimenting with different algorithms and models to identify the most effective solutions for our needs. Proof-of-concept work is crucial to demonstrate the practicality and benefits of these AI solutions before full-scale implementation. What are the ongoing responsibilities of AI/ML Senior Engineer? Developing AI-powered tools: Design, implement, and maintain generative AI systems to support the needs of internal teams. Ensure these tools are scalable, reliable, and efficient for daily use. Conducting research: Regularly explore and analyze new AI trends and technologies to incorporate the latest advancements into our products. This includes reading research papers, attending conferences, and participating in industry forums. Proof-of-concept (PoC) work: Create PoCs to evaluate the feasibility and performance of different AI models. Use these PoCs to demonstrate the potential benefits to stakeholders and guide decision-making. Collaborating with teams: Work closely with sales, distribution, and operations teams to understand their needs and challenges. Tailor AI solutions to address specific pain points and improve overall efficiency. Data preprocessing and analysis: Clean, preprocess, and analyze large datasets to extract meaningful insights. Use these insights to train and optimize AI models. Integration and deployment: Integrate AI models into existing systems and workflows. Ensure smooth deployment and monitor the performance of these models in a production environment. Documentation and reporting: Maintain comprehensive documentation of AI models, algorithms, and systems. Regularly report progress and results to stakeholders. Mentorship and knowledge sharing: Provide guidance and mentorship to junior team members. Share knowledge and best practices to foster a collaborative and innovative work environment. What ideal qualifications, skills & experience would help someone to be successful? Bachelors degree in Computer Science, Data Science, Machine Learning, or a related field. A masters or Ph.D. is preferred. Strong understanding of machine learning algorithms, deep learning frameworks, and statistical analysis. Proficiency in programming languages such as Python, R, or Java. Work Experience: 2-8 years of experience in AI/ML engineering or a related field. Proven track record of developing and deploying AI solutions in a production environment. Experience with data preprocessing, model training, and optimization techniques. Familiarity with cloud platforms and tools for AI/ML development and deployment. Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. Job Level - Individual Contributor Work Shift Timings - 2:00 PM - 11:00 PM IST Experience our welcoming culture and reach your professional and personal potential!

Advanced Process Control (APC) Python, R data visualization tools (e.g., PI Vision, Power BI, Tableau, Grafana is a plus. machine learning (ML) models OSIsoft PI System.

Cradlepoint is seeking a Senior Data Scientist to develop AI/ML methods, processes, and systems that extract knowledge and insights, driving the future of artificial intelligence. You will undertake data science tasks, perform advanced statistical analysis, and translate data into actionable insights for the business, identifying trends and measuring performance to address key business problems. You will collaborate with business and process owners to understand business issues and with engineers to implement and deploy scalable solutions. What You Will Do: Key Responsibilities Apply and/or develop statistical modeling techniques such as deep neural networks, Bayesian models, Generative AI, and Forecasting, along with other Machine Learning (ML) techniques. Synthesize complex problems into data question(s) , guiding the analytical approach. Convert raw data into practical and actionable insights that drive business value. Analyze and investigate data quality for identified data, communicating findings to Product Owners, Business Analysts, and other relevant stakeholders. Collect, explore, and perform analysis on data to extract information suitable for business needs. Identify data gaps, aggregate data as per business requirements, and design and perform Data Analysis, Data Validation, Data Transformation, and Feature Extraction . Decide on the approach for addressing business needs with Data & Analytics. Understand end-user needs and work accordingly to identify new features in the data. Develop Data Science and Engineering Infrastructure & Tools . Derive key metrics suitable for the use-case and present the analysis to key stakeholders effectively. What You Will Bring: Required Qualifications A Bachelor's or higher degree in Computer Science, Statistics, Mathematics, or related disciplines. Ability to analyze data and communicate outcomes to key stakeholders , exploring new data sources. Excellent coding skills in Python, R, SQL , etc. Understanding of cloud services . Evidence of academic training in Statistics . Deep/broad knowledge of machine learning, statistics, optimization , or a related field. A genuine curiosity about new and applied technology and software engineering , coupled with a high degree of business understanding. Experience in Generative AI and Large Language Models (LLMs) . Preferred Qualifications Experience in large-scale product development is a plus.

You could be the right candidate if you: Have deep understanding of health insurance products (Retail, Group, Retail Under Group, Indemnity, Fixed Benefit products such as Personal Accident, Hospital Cash, Critical Illness, Disease Specific, Loan Linked, Travel, Wellness Offerings, International Offerings, Byte-sized Offerings etc.), related processes and regulatory landscape. Have 10-14 years of experience in health insurance pricing, product development, predictive modeling, rate filings, and regulatory compliance (SAHI experience a plus). Are a Qualified Actuary (or nearing completion). Are an expert in actuarial modeling and statistical software (R, SAS, Python, Emblem, Radar, SQL, advanced Excel). Have exceptional analytical, problem-solving, leadership, and communication skills. This Could Be the Gig for You If You re: A self-starter who thrives in a dynamic and challenging environment. Youre not afraid to roll up your sleeves and get involved in all aspects of product development. A natural leader who can inspire and motivate a team to achieve ambitious goals. You enjoy mentoring and sharing your expertise. Passionate about leveraging data and technology to improve healthcare access and affordability. You see the big picture and how your work contributes to a larger purpose. A strategic thinker with a keen eye for detail. You can see the forest and the trees, balancing big-picture strategy with meticulous execution. A collaborative team player who enjoys working with diverse individuals across different departments. You value open communication and a supportive work environment. Excited about continuous learning and staying at the forefront of industry trends and technologies. You are proactive in seeking out new knowledge and skills. Comfortable working in a fast-paced environment, juggling multiple priorities, and adapting to changing circumstances. Resilient and solution oriented. Looking for a role where you can make a real difference in the lives of others by improving access to quality and affordable healthcare.

You could be the right candidate if you: Have deep understanding of health insurance products (Retail, Group, Retail Under Group, Indemnity, Fixed Benefit products such as Personal Accident, Hospital Cash, Critical Illness, Disease Specific, Loan Linked, Travel, Wellness Offerings, International Offerings, Byte-sized Offerings etc.), related processes and regulatory landscape. Have 10-14 years of experience in health insurance pricing, product development, predictive modeling, rate filings, and regulatory compliance (SAHI experience a plus). Are a Qualified Actuary (or nearing completion). Are an expert in actuarial modeling and statistical software (R, SAS, Python, Emblem, Radar, SQL, advanced Excel). Have exceptional analytical, problem-solving, leadership, and communication skills. This Could Be the Gig for You If You re: A self-starter who thrives in a dynamic and challenging environment. Youre not afraid to roll up your sleeves and get involved in all aspects of product development. A natural leader who can inspire and motivate a team to achieve ambitious goals. You enjoy mentoring and sharing your expertise. Passionate about leveraging data and technology to improve healthcare access and affordability. You see the big picture and how your work contributes to a larger purpose. A strategic thinker with a keen eye for detail. You can see the forest and the trees, balancing big-picture strategy with meticulous execution. A collaborative team player who enjoys working with diverse individuals across different departments. You value open communication and a supportive work environment. Excited about continuous learning and staying at the forefront of industry trends and technologies. You are proactive in seeking out new knowledge and skills. Comfortable working in a fast-paced environment, juggling multiple priorities, and adapting to changing circumstances. Resilient and solution oriented. Looking for a role where you can make a real difference in the lives of others by improving access to quality and affordable healthcare.

The ideal candidate's favourite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the correct answers. Responsibilities Analyze raw data: assessing quality, cleansing, and structuring for downstream processing. Design accurate and scalable prediction algorithms. Molecular Docking and Simulation. Integrating Biological Data. Computational Biology related works. Qualifications Bachelor's degree or equivalent experience in a quantitative field (Bio-informatics, Biotechnology, Statistics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Freshers can also apply.* Deep understanding of predictive modelling, machine learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, R, C, C++, Java, SQL),

As a Manager/Sr Manager in Credit Decisioning Scorecard and/or Credit Risk Strategy Development at Genpact, you will play a crucial role in developing various types of credit scorecards and risk strategies for banking and financial institutions. Your responsibilities will include providing analytical support, assessing data quality, developing and calibrating credit decision scorecards, designing credit risk strategies, and leading the development of model methodologies and diagnostic tools. You will work as a consultant for the centralized advanced analytics team of a banking or financial firm. Your day-to-day activities will involve recommending actions to mitigate risk, improving data quality for model development, handling data and quantitative analysis, and leading the development of model methodologies and algorithms. Additionally, you will be responsible for documenting model techniques, conducting validation activities, drafting technical documents, and contributing to the creation of whitepapers. The qualifications we are looking for include hands-on experience in developing credit risk scorecards and strategies, statistical modeling expertise, knowledge of AI and ML techniques, proficiency in data analysis tools like SQL, ETL, SAS, Python, and R, a master's degree in a quantitative discipline, strong client management and communication skills, self-driven attitude, project management experience, and the ability to lead projects and teams. Preferred qualifications include networking and influencing skills, rich experience in BFS analytics and credit risk modeling. If you are a proactive individual with a can-do attitude, strong technical skills, and the ability to work under ambiguity and time-sensitive commitments, we invite you to join our team at Genpact and contribute to shaping the future of global professional services and solutions.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Business Consulting QAS- Quantitative Trading Book (QTB) Profile: Quant Analyst/ Consultant/ Manager EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services leveraging deep industry experience with strong functional capability and product knowledge. FSO practice offers integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include market, credit, and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls. Within EY's FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions to help FSO clients identify, measure, manage, and monitor market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management, and other capital markets activities. The Market Risk (MR) team within FSRM assists clients in designing and implementing strategic and functional changes across risk management, treasury, front office, middle office, and back office activities with a focus on risk and valuation processes, regulatory compliance, analytics, strategy, and organizational structure. Your key responsibilities include demonstrating deep technical capabilities and industry knowledge of financial products, leading components of large-scale client engagements, understanding market trends and demands in the financial services sector, monitoring progress, managing risk, and effectively communicating with key stakeholders, and playing an active role in mentoring junior consultants within the organization. To qualify for the role, you should have an Undergraduate (4-year degree) or Masters (Computational Finance, Mathematics, Engineering, Statistics, or Physics preferred) or Ph.D. in quantitative topics with at least 2-10 years of relevant experience. Additionally, you should have working knowledge or academic experience of statistical and numerical techniques, knowledge of mathematical concepts related to pricing derivatives for various asset classes, strong risk management/model development/validation knowledge, good hands-on experience in model development/validation/monitoring/audit procedures, knowledge of mathematical concepts like Stochastic Calculus, Differential and Integral calculus, strong coding skills in programming languages like Python and R, excellent communication and strong problem-solving skills, project management experience, and report writing experience. Good-to-have qualifications include certifications such as FRM, CQF, CFA, PRM, regulatory knowledge/experience in areas such as Basel, CCAR, and FRTB, ETRM/CTRM systems experience, pricing/risk management system knowledge/experience, willingness to travel to meet client needs, experience in stakeholder and client management, and contributing to people initiatives. EY offers a competitive compensation package, a collaborative environment, excellent training and development prospects, an excellent team of senior colleagues, and opportunities to contribute to developing intellectual capital to support delivering superior outcomes for clients and the firm. EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

You will be working at Whats up Kisan, an AgriTech platform that uses AI to provide Indian farmers with expert advice, personalized crop guidance, and real-time solutions. The company's goal is to make farming smarter, more sustainable, and prosperous by blending technology with traditional practices and supporting farmers to grow, thrive, and shape the future of Indian agriculture. As an AI/ML Specialist in Ernakulam, your primary responsibility will be to develop and implement machine learning models to analyze agricultural data. By doing so, you will offer insights that can enhance farming practices. Your daily tasks will include data collection, preprocessing, building, testing, and deploying AI models. You will also collaborate with cross-functional teams to optimize solutions and continuously monitor and improve the AI systems to meet the evolving needs of Indian farmers. To be successful in this role, you should have experience in developing and implementing machine learning algorithms, skills in data collection, preprocessing, and analysis, as well as knowledge of AI model building, testing, and deployment. Proficiency in programming languages like Python, R, or Java is essential. The ability to work collaboratively with cross-functional teams, strong problem-solving and analytical skills, and prior experience in the agriculture industry would be advantageous. A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field is also required.,

As an Associate Manager in the Supply Chain Data Science team, you will be responsible for leveraging your deep expertise in data science and supply chain analytics to engage with global Supply Chain Leaders. Your role will involve defining analytical solutions that optimize processes, provide predictive insights, and facilitate strategic decision-making within the supply chain ecosystem. To excel in this role, you should possess a Master's degree with at least 6 years of experience in Supply Chain Analytics/Data Science, or a Graduate degree with 7+ years of relevant experience. You will be based in Bangalore, India, with flexibility to work from offices in Chennai, Pune, NCR, or Kolkata based on your preference. Key responsibilities include leading client engagements, mentoring teams, and designing advanced analytics solutions for various supply chain functions such as demand forecasting, inventory optimization, and procurement analytics. You will also be involved in developing sustainable analytical tools, overseeing technical solution architecture, and driving adoption of modern data architectures. The ideal candidate will have a deep understanding of supply chain functions, strong programming skills in Python/R, proficiency in SQL for data querying, and experience with machine learning algorithms and visualization tools such as Tableau. Additionally, leadership, consulting, and technical competencies are essential for success in this role. At Tredence, you will have the opportunity to work in a highly impactful role, take ownership of projects, and grow both thought leadership and operational leadership capabilities. You will collaborate with industry-leading talent, receive substantial performance-based compensation, and access cutting-edge analytics tools and methodologies. If you are passionate about leveraging data to drive business value and possess a growth mindset along with strong analytical, technical, and leadership skills, we welcome you to join us at Tredence on our innovative journey.,

About Northern Trust Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889. Northern Trust is proud to provide innovative financial services and guidance to the world's most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service. Job Summary Associate Consultant/Consultant, a key member of the Model Development Team, plays a crucial role in the Risk Analytics and Data Service Team. The role involves contributing individually to the development and maintenance of AML (Anti-Money Laundering) models. The ideal candidate will take ownership of the AML transaction monitoring framework and leverage data-driven approaches to enhance model performance. Job title: Associate Consultant/Consultant Location: Bangalore/Pune Experience: 4-8 years of relevant experience Major Duties - Manage, monitor, and optimize Actimize SAM models, including tuning thresholds, scenarios, and segmentation logic. - Utilize quantitative analysis, statistical modeling, and machine learning techniques to detect suspicious activity and minimize false positives. - Collaborate with model validation and governance teams to ensure compliance with regulatory requirements. - Work closely with IT and data teams to maintain the integrity and availability of data pipelines supporting Actimize SAM and related AML systems. - Assist in internal and external audits, regulatory reviews, and model validation documentation. - Engage with various committees and senior management. Qualification - Master's in Statistics/Economics/Mathematics or an advanced degree in a quantitative area. - Alternatively, B.Tech/M.Tech from a tier 1 college with an MBA in a related field. Skills Required - Proficiency in Data Science and machine learning models. - 3+ years of experience in banking and AML/Financial Crime Compliance, with direct exposure to Actimize SAM. - Strong grasp of risk concepts and quantitative modeling techniques, with experience in model validation considered a plus. - Proficiency in R, Python, SAS. - Strong organizational and interpersonal skills. - Excellent verbal and written communication skills in English. - Experience working in a multicultural and global environment. Working With Us As a Northern Trust partner, you will be part of a flexible and collaborative work culture within an organization that values financial strength and stability. Opportunities for internal mobility are encouraged, senior leaders are approachable, and you can take pride in contributing to a company committed to supporting the communities it serves. Join us in a workplace with a greater purpose and apply today to explore how your interests and experience align with one of the world's most admired and sustainable companies. Reasonable Accommodation Northern Trust is dedicated to collaborating with and providing reasonable accommodations to individuals with disabilities. If you require an accommodation during any stage of the employment process, please reach out to our HR Service Center at MyHRHelp@ntrs.com. Apply today and discuss your flexible working preferences with us as we strive to achieve greater together.,

You will be joining our Data & AI practice as an Individual Contributor and Functional AI Decision Science Consultant at Level 9, with the opportunity to work in Gurgaon, Bangalore, Mumbai, or Hyderabad. As part of a global team of skilled professionals, you will utilize cutting-edge statistical tools and methodologies to deliver data-driven insights and solutions for our clients. Your primary responsibilities will include defining data requirements for Data Driven Growth Analytics, analyzing and interpreting data, and ensuring data quality. You will work on market sizing, lift ratio estimation, non-linear optimization techniques, statistical timeseries models, store clustering algorithms, and descriptive analytics to support merchandising AI capabilities. Additionally, you will develop AI/ML models using Azure ML tech stack, manage data pipelines, and leverage cloud platforms for deploying and scaling machine learning models. In this role, you will also be expected to manage client relationships, effectively communicate insights and recommendations, and contribute to capability building and thought leadership within the team. Your logical thinking and task management skills will be crucial to analyze data systematically and prioritize tasks efficiently. To be successful in this position, you should have a minimum of 4+ years of experience in Marketing analytics and 3+ years of experience in Data Driven Merchandizing. Proficiency in econometric/statistical modeling, Azure ML, SQL, R, Python, and PySpark is essential, along with a strong understanding of marketing data and business processes in the Retail and CPG industries. A Bachelor's or Master's degree in Statistics, Economics, Mathematics, Computer Science, or related fields is required, along with excellent academic credentials. Additionally, knowledge of tools like Excel, Word, and PowerPoint for communication and documentation will be beneficial in this role. If you are seeking a challenging opportunity to work with a dynamic team of professionals and make a significant impact in the field of Data & AI, we invite you to apply and join our team at Accenture.,

You have over 5 years of experience in building production-grade Neural Network models using Computer Vision or Natural Language Processing techniques. You possess a strong understanding of various machine learning techniques and algorithms, including k-NN, Naive Bayes, SVM, Decision Forests, and Neural Networks. Experience with Deep Learning frameworks like TensorFlow, PyTorch, and MxNet is part of your skillset. Proficiency in common data science toolkits such as R, Sklearn, NumPy, MatLab, and MLib is highly desirable. Additionally, you have solid applied statistics skills encompassing distributions, statistical testing, and regression. Your expertise extends to using query languages like SQL, Hive, Pig, and NoSQL databases. In this role, you will collaborate with Product Managers, Architects, and Engineering Leadership to conceptualize, strategize, and develop new products focused on AI/ML initiatives. You will be responsible for developing, driving, and executing the long-term vision and strategy for the Data Science team by engaging with multiple teams and stakeholders across the organization. Your tasks will involve architecting, designing, and implementing large-scale machine learning systems. Specifically, you will develop Neural Network models for information extraction from mortgage documents using Computer Vision and NLP techniques. Ad-hoc analysis and clear presentation of results to various audiences and key stakeholders will be part of your routine. You will also design experiments, test hypotheses, and build models while conducting advanced data analysis and highly complex algorithm designs. Applying advanced statistical, predictive, and machine learning modeling techniques to enhance multiple real-time decision systems will be a key aspect of your role. You will collaborate with development teams to deploy models in the production environment to support ML-driven product features. Furthermore, you will define business-specific performance metrics to assess model effectiveness and continuously monitor and enhance these metrics over time for models in a production environment. To qualify for this position, you should hold an M.S. in mathematics, statistics, computer science, or a related field, with a Ph.D. degree being preferred. You must have over 5 years of relevant quantitative and qualitative research and analytics experience. Excellent communication skills and the ability to effectively convey complex topics to a diverse audience are essential attributes for this role.,

Your responsibilities will include: Model Lifecycle Management : Oversee and document the end-to-end lifecycle of models, from development to deployment and decommission, ensuring compliance with external expectations and internal policies and standards. You will track compliance progress for your portfolio and report it to the Data and Model Governance team. Collaboration : Work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to integrate model governance controls into the model development and deployment processes. Risk Assessment : Evaluate risks associated with AI use cases, considering factors such as reliability, use of third-party models, performance degradation, bias, fairness, and interpretability. Develop and implement strategies to mitigate identified risks. Documentation and Registration : Create and maintain comprehensive documentation for AI use cases, including preprocessing steps, training techniques and model architecture. Promote transparency in model development and decision-making processes, ensuring high data quality of all governance-related artifacts. Monitoring and Performance Evaluation : Establish monitoring protocols to track the performance of deployed models in real-world scenarios. Configure (semi-)automated systems to detect drifts, and other performance issues. Education and Training : Prepare trainings and upskilling opportunities on best practices for model governance. Stay current on industry trends and advancements in model governance and ethics, and share knowledge within the organization via the Data and Model Stewardship Network. About You: Education: BSc/ MSc or equivalent experience in a relevant technical field (eg, Data Science, Statistics, Computer Science, etc). Strong programming skills (Python, R, etc), experience with data science libraries (TensorFlow, PyTorch, scikit-learn) and cloud technologies (AWS, Azure, GCP). Excellent communication and stakeholder management skills. 6+yrs Experience and proven track-record applying collaborative problem-solving, negotiation, and change management skills. Proven experience in model governance, risk management with expertise in one of the following specializations: Research Specialist: Proven experience in researching and implementing model governance strategies, especially for Large Language Models (LLMs). Engineer: Background in DevOps engineering, with a focus on AI model deployment. Analyst / Data Engineer: Expertise in data engineering, analytics, and data processing, with a focus on ensuring high-quality input data for models.

Citco is a global leader in fund services, corporate governance, and related asset services with more than 10,000 staff across 80 offices worldwide. With over $1.5 trillion in assets under administration, Citco delivers end-to-end solutions and exceptional service to meet clients" needs. As a part of Citco's Human Resources Technology Transformation team, we are looking for a detail-oriented HR Data Analyst. In this role, you will play a crucial part in transforming complex HR data into actionable insights that support strategic decision-making and operational efficiency. Your responsibilities will include collecting, analyzing, and interpreting HR data sets across various metrics. You will be tasked with developing and maintaining automated reporting solutions using appropriate coding languages. Additionally, you will create regular and ad-hoc reports on key HR metrics and KPIs, identify trends and patterns in HR data to provide strategic insights, design and implement data visualization dashboards, ensure data accuracy, and collaborate with HR team members to understand data needs and requirements. Furthermore, you will provide data-driven recommendations to support HR initiatives. To be successful in this role, you should have a Bachelor's degree in Analytics, Statistics, Human Resources, or a related field, along with 3-5 years of experience in data analysis specifically in HR. Proficiency in data analysis tools such as Excel, Power BI, Tableau, and experience with programming languages like SQL, Python, or R is required. Strong statistical analysis skills and familiarity with HRIS systems are also essential. At Citco, we prioritize the wellbeing of our employees and offer a range of benefits, training and education support, and flexible working arrangements to help you succeed in your career while maintaining a healthy work-life balance. We are committed to diversity and inclusivity, encouraging applications from individuals with diverse backgrounds. Citco welcomes and supports candidates with disabilities, and accommodations are available upon request for all aspects of the selection process.,

As an Artificial Intelligence Specialist at our company, you will play a crucial role in developing, implementing, and optimizing AI models and algorithms. Your responsibilities will include designing, deploying, and refining AI models, conducting data analysis and pre-processing, integrating AI capabilities into our products, and collaborating with software engineers to ensure seamless integration. Your expertise in machine learning, deep learning, and natural language processing will be essential in solving real-world problems and enhancing our products and services. Staying updated with the latest advancements in AI research will be crucial, as you will apply these innovations to continually improve our AI models. Additionally, you will have the opportunity to provide technical guidance and mentorship to junior team members, contributing to their professional growth and development. To qualify for this role, you should possess a Graduate or Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, with a preference for a Master's degree. Demonstrated experience in developing and implementing machine learning models and algorithms is required, along with proficiency in programming languages like Python, R, or Java. Your commitment to excellence and passion for AI will drive you to succeed in this dynamic and challenging position. Joining our team as an AI Specialist will offer you valuable hands-on experience in the field of artificial intelligence, allowing you to work on impactful projects, collaborate with experienced professionals, and enhance your skills. Additionally, you will have the opportunity to receive an Internship Certificate, a Letter of Recommendation, and a Performance-Based Stipend. With a part-time work-from-home arrangement (2-3 hours per day) and a fully flexible shift schedule (5 days a week), this internship provides the perfect balance between professional development and personal flexibility.,

You will be working for a global IT leader that specializes in IT consulting, business process management, and digital transformation across various industries such as finance, healthcare, energy, and telecom. With a workforce of over 250,000 employees in more than 50 countries, the company is known for its domain expertise, innovation, and commitment to sustainability and corporate social responsibility. Headquartered in Bengaluru, India, it is a preferred partner for digital transformation initiatives. Your responsibilities will include conducting statistical analysis using R, Python, or Excel, and creating presentations/keynotes based on the findings. You will be responsible for ensuring timely and accurate data availability for analytical assignments, meeting project deadlines, and communicating progress effectively to stakeholders. Additionally, you will perform exploratory data analysis, develop Excel models, conduct forecasting analysis, and maintain data integrity throughout the process. Utilizing AI/ML technologies for advanced analytics will also be a part of your role. To excel in this position, you are required to have at least 5 years of experience in Maps Operations or Production, with a minimum of 3 years in an Individual Contributor role. Proficiency in AI/ML technologies like TensorFlow, Keras, or PyTorch is essential, along with strong GIS skills using tools such as ArcGIS, QGIS, or OpenLayers. Expertise in SQL/PostgreSQL for spatial and big data analysis and the ability to apply map specifications for enhancements are crucial. Familiarity with Process Engineering and Continuous Improvement techniques will be advantageous. Being detail-oriented, having hands-on experience in data analysis tools, possessing strong communication skills, and the ability to lead analytical reviews using manual and automated checks are also critical skills required for this role.,