3917 R Jobs - Page 11

Commercial Management : Roles & Responsibilities Improve WIN probability Deal shaping from commercial perspective Help arrive at Right Price to Win Internal Benchmarking Alternate pricing and commercial structures Client Business case Identify margin / price improvement levers Develop appropriate commercial solutions Review cost modeling Review Rfx documents to highlight risks Review compliance with internal guidelines Review pricing sheet responses Draft end to end Responses Commercial responses including contract markup, assumptions and T&Cs Establish MOUs/ agreements with Internal BUs Comprehensive contract documents with client and sub-contractors Commercial negotiation Commercial handover from pre-sale to post-sale teams Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Skills (competencies) Verbal Communication

Your role The Packaging Engineer will be responsible for supporting designing, developing, and implementing packaging and labeling materials for US/OUS medical devices. The individual should have good understanding of Packaging standards and Compliance requirements (ASTM, ISTA, ISO 11607 and EU-MDR). Within this context the activity will focus on: The job requires a self-motivated individual with collaborative skills on project, process with limited supervision. The individual should be a team player who is willing to collaborate. Fully participates in and successfully contributes to project teams typically including the following activitiesPackaging/product design and development, test of materials, preparation of specifications, process capability studies, report preparation, and process/test documentation. Generate, evaluate and coordinate packaging related documentation including specifications, test plans/reports, and other BSC Product Development Process documents. Strong knowledge of statistical methodology. Evaluate, create and document package/product test methods for new product development and existing design improvements. Understanding of documentation management systems and good manufacturing practices (GMPs) is required. Work closely with other members of the Packaging Engineering department and interact with personnel from a variety of areas within BSC. Develop strong team skills, including communication, teamwork, initiative and managed execution of all project deliverables. Work with suppliers and OEM contacts to establish partnerships to maximize quality, delivery, and lead times, and to incorporate their abilities, ideas, and material/product knowledge into new development. Keep abreast of new technologies, test methods and advances in the medical device packaging industry Your profile Bachelors Degree in Packaging Engineering or Equivalent Engineering Degree Minimum 2-6 years work experience Experience with MS tools (Excel, Word, PowerPoint, etc.) Experience with Statistical Software and its use for Engineering Applications Knowledge of Supply Chain / Product Distribution practices What You"ll Love About Working Here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as AWS and Microsoft Azure.

Qualifications Bachelor's degree in BE/B. Tech /MCA Experience: 6+ years of experience Position: Senior Data Scientist Location: Hyderabad, India/Remote Key Responsibilities: Partner with business stakeholders to understand objectives and translate them into analytical frameworks Design and execute analyses that directly address business challenges using SQL, Python, and other analytical tools Develop data-driven recommendations that align with organizational goals and strategies Communicate complex findings in business terms that resonate with executives and decision-makers Identify business opportunities through proactive data exploration and analysis Build and validate statistical models that solve real business problems Influence product and business strategies through data-backed insights Serve as a bridge between technical and business teams, effectively translating between domains Technical Skills Advanced SQL proficiency for complex data querying and manipulation Strong Python programming skills with focus on data analysis libraries Experience building and deploying statistical and machine learning models Data visualization and dashboard creation for business audiences Data cleaning, transformation, and feature engineering expertise Business Skills Demonstrated ability to understand business objectives and translate them into analytical questions Experience working directly with business stakeholders to define key metrics and success criteria Skill in presenting technical findings in business terms and recommending actionable strategies Understanding of business operations, market dynamics, and competitive landscapes Ability to prioritize analytical work based on business impact Qualifications 6+ years of experience in data science with demonstrated impact on business outcomes Bachelor's degree required, advanced degree in quantitative field preferred Track record of successful projects that combine technical excellence with business value Experience in collaborative environments working across business and technical teams Personal Attributes Curious mindset that questions assumptions and explores beyond the obvious Strong communicator who can adapt message to different audiences Strategic thinker who connects data insights to broader business context Self-directed learner who stays current in both technical and business domains Comfortable navigating ambiguity and driving clarity through data

What Youll Do Develop advanced and efficient statistically effective algorithms that solve problems of highdimensionality. Utilizetechnical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques toidentify trends, createfigures, and analyze other relevantinformation. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies thatimpact our analytical platform. What Youll Bring Amasters degree in computer science, Statistics, or a relevant field; A robust academic performance history with coursework emphasizing analysis and quantitative skills. A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc A proficiency in at least one programming language (e.g., Java/Python/R). Experience with tools/platforms such as the Hadoop eco system, Amazon Web Services or database systems. Fluency in English.

Data Science Consultants design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to help clients make better fact-based decisions. What Youll Do Execute and lead application of numerical optimization techniques on large, unstructured data sets to solve problems Collaborate with engineering teams to deploy optimization based solutions on datasets of large dimensionality to create practical solutions that achieve desired results in a computationally efficient and statistically effective manner; Play a key role in development of data science capabilities for solving problems and offerings that create scale and advance our analytic capabilities Lead conversations with clients and other ZS stakeholders to effectively integrate and communicate analysis findings; Evaluate emerging datasets and technologies and help define our analytic platform; Own development of select assets/accelerators that create scale; Contribute to thought leadership through research and publications; Guide and manage project teams of Associates/Associate Consultants. What Youll Bring Bachelors degree in computer science, Information Technology, or a related field (or equivalent work experience). 6-9 years of relevant experience Strong theoretical and applied understanding of linear programming, convex optimization, non- linear programming, and other optimization topics Experience with other data science concepts and algorithms (e.g. supervised / unsupervised learning, reinforcement learning, simulation modeling, recommender systems, etc.); Relevant programming background (e.g. Python/ R); Understanding of relevant tools/platforms (e.g. ML / data engineering tools and platforms); Team management and skill development experience; Agile project planning and project management experience preferred; Excellent oral and written communication skills; Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem-solving skills; High motivation, good work ethic and maturity. Location - Bengaluru,Gurugram,Noida,Pune.

Advanced Data Science Consultant - (Optimization / Supply Chain and Manufacturing) Data Science Consultants design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to help clients make better fact-based decisions. What You'll Do: Execute and lead application of numerical optimization techniques on large, unstructured data sets to solve problems in the area of Supply Chain and Manufacturing. Collaborate with engineering teams to deploy optimization based solutions on datasets of large dimensionality to create practical solutions that achieve desired results in a computationally efficient and statistically effective manner; Play a key role in development of data science capabilities for solving problems in the pharmaceutical manufacturing, supply chain and operations management space and offerings that create scale and advance our analytic capabilities Lead conversations with clients and other ZS stakeholders to effectively integrate and communicate analysis findings; Evaluate emerging datasets and technologies and help define our analytic platform; Own development of select assets/accelerators that create scale; Contribute to thought leadership through research and publications; Guide and manage project teams of Associates/Associate Consultants. What You'll Bring: MS/PhD degree in Computer Science, Statistics, Operations Research, or related fields, with a focus on Optimization, plus 2-4 years of relevant post-PhD work experience in implementing solutions in Manufacturing, Supply Chain, Operations Management areas 6 - 9 years of relevant experience Strong theoretical and applied understanding of linear programming, convex optimization, nonlinear programming, and other optimization topics Experience with commercial solvers such as CPLEX, Gurobi, etc. preferred Experience with other data science concepts and algorithms (e.g. supervised / unsupervised learning, reinforcement learning, simulation modeling, recommender systems, etc.); Relevant programming background (e.g. Python/ R); Understanding of relevant tools/platforms (e.g. ML / data engineering tools and platforms); Team management and skill development experience; Relevant domain knowledge preferred; (healthcare life sciences / transportation/ hi-tech / insurance / retail); Agile project planning and project management experience preferred; Excellent oral and written communication skills; Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem-solving skills; High motivation, good work ethic and maturity.

Data Science Associate Consultant (DSA) design, develop and execute high-impact analytics solutions for large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. What Youll D o : Stay updated with the latest developments in Deep Learning and AI research. Implement and fine-tune advanced models in deep learning, with a focus on Transformers for sequential data (e.g., time series, text, and vision). Apply knowledge of large language model (LLM) fine-tuning and alignment approaches to improve model performance. Utilize active learning techniques to train models more efficiently and effectively. Collaborate with cross-functional teams to develop and deploy machine learning models in production. Contribute to research projects aimed at advancing the field of AI and machine learning. Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner Collaborate with clients and other ZS stakeholders to effectively integrate and communicate analysis findings Contribute to the evaluation of emerging datasets and technologies that may contribute to our analytical platform Owning the development of select assets/accelerators for efficient scaling of capability, with a focus on leveraging generative AI and deep learning methodologies. Integrate engineering principles into data science workflows, optimizing algorithms for performance, scalability, and maintainability. Collaborate with the engineering team to implement and deploy data science solutions into production, ensuring seamless integration with existing systems. Utilize software engineering best practices for version control, code review, testing, and documentation to maintain high-quality, reliable, and reproducible data science workflows. What Youll Bring : Bachelor's or master's degree or PhD in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytic and quantitative coursework is required 4-7 years of Data Science experience, including proficiency in generative AI, deep learning, statistical techniques, and engineering integration for scalable solutions Knowledge of programming (e.g. Java/Python/R); Knowledge of big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.) Excellent oral and written communication skills. Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem-solving skills; High motivation, good work ethic and maturity. Exposure to Generative AI and its usage to solve problems is a plus. Location - Bengaluru,Gurugram,Noida,Pune

What Youll Do Develop and apply advanced statistical models that help clients understand dynamic business issues. Leverage analytic techniques to use data to guide client and ZS team decision-making. Design custom analyses in R, Tableau, SAS, Visual Basic and Excel to investigate and inform client needs. Synthesize and communicate results to clients and ZS teams through oral and written presentations. Develop client relationships and serve as key point of contact on aspects of projects. Provide client and ZS teams project status updates. Create project deliverables and implement solutions. Advance problem-solving skills and improve ZSs capabilities. Guide and mentor Associates on teams. What Youll Bring Bachelor's or master's degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering. Up to 3 years of relevant post-collegiate job experience. Fluency in English. Knowledge of programming (e.g., Java/Python/R). Exposure to tools/platforms (e.g., Hadoop eco system and database systems). Demonstrated proficiency in a programming language or analytic tool such as R, SAS, Tableau, or VBA. High motivation, good work ethic, maturity, and personal initiative. Effective oral and written communication skills.

ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What Youll Do Develop and apply advanced statistical models that help clients understand dynamic business issues. Leverage analytic techniques to use data to guide client and ZS team decision-making. Design custom analyses in R, Tableau, SAS, Visual Basic and Excel to investigate and inform client needs. Synthesize and communicate results to clients and ZS teams through oral and written presentations. Develop client relationships and serve as key point of contact on aspects of projects. Provide client and ZS teams project status updates. Create project deliverables and implement solutions. Advance problem-solving skills and improve ZSs capabilities; Guide and mentor Associates on teams. What Youll Bring Experience in working with the Pharma Industry. Experience in working with real world data sources such as patient claims data, EMR, consumer data etc Experience in analysis of large data sets; SQL-R, programming skills Experience in the statistical design and analysis of prospective or retrospective observational studies and familiar with working with large epidemiological datasets focusing on anonymized data 3 - 6 years work experience with domain knowledge/expertise in Healthcare/Life Sciences/Med Tech is preferred MBA with bachelor's (and often graduate) degrees in engineering, business, psychology or physical/life sciences with a strong academic record of analytic and quantitative work Agile project planning and project management skills Excellent communication skills Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.

What Youll Do Leverage quantitative skills to derive answers to clients' ongoing business analytics and reporting questions. Work collaboratively with clients to ascertain the clients specific business information needs. Execute a specific plan for analyzing the data necessary to secure solutions to clients particular business information need(s ). Discuss and determine with clients which specific data may be best utilized in order to perform the necessary analysis. Evaluate, assess and analyze the data necessary to provide solutions to the clients particular business information needs. Communicate the data results to the client, with an emphasis on answering the business question as opposed to the analytical and reporting processes used. Gain immediate familiarity with clients internal processes. Develop expertise within a client analytics area. Be available for clients during regular working hours. What Youll Bring MBA with a bachelor's (and often graduate) degree in a quantitative, analytical discipline, such as Operations Research, Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, or Engineering. Alternately, candidates may possess a PhD in marketing, economics, decision sciences or related field with a business application. In lieu of an MBA or PhD, 5-8 years of relevant work experience may substitute.? Up to 3 years of post-MBA relevant work experience, and 3-5 years of pre-MBA relevant work experience, with evidence of strong analytic work (including use of advanced modeling techniques and tools such as R, SAS, Tableau, or VBA High motivation, good work ethic, maturity and personal initiative?

What Youll Do Develop and apply advanced statistical models that help clients understand dynamic business issues. Leverage analytic techniques to use data to guide client and ZS team decision-making. Design custom analyses in R, Tableau, SAS, Visual Basic and Excel to investigate and inform client needs. Synthesize and communicate results to clients and ZS teams through oral and written presentations. Develop client relationships and serve as key point of contact on aspects of projects. Provide client and ZS teams project status updates. Create project deliverables and implement solutions. Advance problem-solving skills and improve ZSs capabilities. Guide and mentor Associates on teams. What Youll Bring Bachelor's or master's degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering. Up to 3 years of relevant post-collegiate job experience. Fluency in English. Knowledge of programming (e.g., Java/Python/R).

Our Clinical/Drug Development division displays a substantial history of contributing to numerous client projects with significant results in drug development. The Drug Development RD Technologists possess a deep understanding of technological solutions for clinical development processes including clinical study design, data management, analytics, and quality risk management platforms and products. They are well-versed in software related to clinical trial protocol design, electronic data capture (EDC), external data capture, data conformance, transformation, analysis, and reporting. Our team is well versed about industry standards such as CDISC, FHIR, OMOP, and their respective usage. Our team specializes in designing bespoke solutions or products implementation for clinical design, Clinical data management, and analytics systems. Our team has deep understanding of EDC tools like Rave, Veeva, InForm, openClinica, clinical data repositories like SAS LSAF, Oracle LSH, eCS elluminate, Metadata Repositories like Nurocor, Sycamore, Formedix, statistical computing environments like Sycamore, Domino, Sas Viya systems, Clinical data review systems, RBQM systems, and more. With experience as solution architects, business analysts, or techno-functional SMEs in GXP compliant validated environments, they guide the creation of solution, data flows and strategies for building clinical development and data management systems. Their offerings encompass technical advisory, consultancy, developing of clinical data platforms and products, system integration, and intelligent automation. Additionally, the team has created innovative tools through advanced technology and data science, aiding numerous clients in expediting the drug development process. What Youll Do: You will design implement various innovative solutions in the realms of Clinical data management, analytics Work in clinical data management and analytics area as part of strategy building, assessment and technology implementation project as business and data analyst Lead and participate in clinical business process discussions with clients, identify requirements and user stories Conduct online interviews and workshops to gather requirements to support the business needs of users Author high-level user stories and develop related tasks, acceptance criteria and review test cases Participate in clinical business process discussions with clients, identify requirements and user stories Work closely with project teams in creating Requirement Specifications, RTM and other project documents Plan and facilitate various Agile meetings and artefacts, including sprint planning, review retrospectives, daily stand-ups Perform business process modelling, data flow, user experience modeling, and basic solution architecture diagramming Act as techno-functional Liaison between client business user and project engineering team to provide correct business context, business rules The ideal candidate will have a strong background in the project lifecycle, with experience in large and complex programs. They will have a track record of successfully managing people, and be able to provide support and escalation routes for queries, define and plan analysis deliverables, and agree on analysis approaches. Experience in building a Business Analysis capability, mentoring and upscaling more junior colleagues, and contributing to the growth of a BA community is also essential. What Youll Bring Bachelors degree Pharma/ Bioinformatics / Medicine or related disciplines Master's degree in Business Analyst, Engineering or Science preferred. 5-10 years of experience working within Life Science Domain as solution architect / business analyst / data analys t is required. Experience of working in building solution around drug development - clinical data management areas like discrepancy management, clinical data repositories, clinical issue management, Operational data repositories, operational reports Experience working in end-to-end Clinical Data Repository implementation with Biometrics space will be preferred. Experience working in Clinical data management area as BA or Subject matter expert Understand the end to end process for clinical data management and Analysis Exposure to clinical data coordination and clinical data management area. Experience in building and delivering GxP compliant solutions for large enterprise program is required. Exposure to programming language like R, Python and SAS is preferred.

Job Description: Vontiers Data & Analytics Hub is seeking an experienced Snowflake Data Engineer to join our team The Data Engineer will have a key role in designing, developing, and maintaining data pipelines and data models using Snowflake cloud data platform, The ideal candidate will have considerable experience in hands-on experience with Snowflake data warehouse, including data ingestion, transformation, and optimization, Responsibilities: Design, develop, and maintain data pipelines and data models using Snowflake cloud data platform, Implement best practices for data quality, security, and performance, Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver solutions, Provide technical guidance and mentorship to junior data engineers, Stay updated with the latest trends and technologies in the data engineering domain, Requirements: Bachelor's degree in computer science, Engineering, or related field, At least 5 years of experience in data engineering, preferably in a cloud environment, Cloud Platforms: Familiarity with any cloud environmentsAWS or Azure, Proficient in SQL and Python, and familiar with other programming languages such as Java, Scala, or R, Hands-on experience with Snowflake data warehouse, including data ingestion, transformation, and optimization, ETL/ ELT process & methodologies for data integration Collaborate with data engineers and developers to seamlessly integrate diverse data sources into the Snowflake data platform This task requires proficiency in ETL/ELT processes, ensuring data is accurately and efficiently ingested, transformed, and stored, Successful application of native Snowflake ingestion components such as snowpipes, streams use of external tables and incremental processing, Successful application of orchestration and materialization techniques native to snowflake such as dynamic tables and complex DAGs, Experience with Kafka streaming pipes and Kafka forwarders, Experience with data integration tools such as Matillion, Data modelling to design and implement data models and schemas, Data Warehousing Concepts: Understanding of data warehousing concepts and practices, including data normalization, denormalization, and partitioning Implement best practices for data quality, security, and performance, Performance Tuning: Skills in optimizing Snowflake performance, including query optimization and resource management, Strong analytical and problem-solving skills, and attention to detail, Excellent communication and collaboration skills, and ability to work in a fast-paced environment, Good to have: Preferred if candidate comes with certifications in Snowflake, Experience with data visualization tools such as Power BI, Familiarity with finance, procurement, and manufacturing processes, including budgeting, cost management, and supply chain optimization, to support business efficiency and strategic decision-making is a plus, MLOps: Demonstrated familiarity with decision sciences applications and approaches utilizing Snowpark compute, Snowflake Model registries, Snowflake Feature registries and the ongoing supporting to MLOps role of snowflake ML workflows practices, Who Is Vontier Vontier (NYSE: VNT) is a global industrial technology company uniting productivity, automation and multi-energy technologies to meet the needs of a rapidly evolving, more connected mobility ecosystem Leveraging leading market positions, decades of domain expertise and unparalleled portfolio breadth, Vontier enables the way the world moves delivering smart, safe and sustainable solutions to our customers and the planet Vontier has a culture of continuous improvement and innovation built upon the foundation of the Vontier Business System and embraced by colleagues worldwide Additional information about Vontier is available on the Companys website at vontier , At Vontier, we empower you to steer your career in the direction of success with a dynamic, innovative, and inclusive environment, Our commitment to personal growth, work-life balance, and collaboration fuels a culture where your contributions drive meaningful change We provide the roadmap for continuous learning, allowing creativity to flourish and ideas to accelerate into impactful solutions that contribute to a sustainable future, Join our community of passionate people who work together to navigate challenges and seize opportunities At Vontier, you are not on this journey alone-we are dedicated to equipping you with the tools and support needed to fuel your innovation, lead with impact, and thrive both personally and professionally, Together, lets enable the way the world moves! Show

What The Candidate Will Need / Bonus Points ---What the Candidate Will Do ---- Scope & Impact: You will have the opportunity to collaborate with multiple cross-functional global teams to deliver scalable data solutions wherein the expectation is to -> Build scalable analytical frameworks to support product analytics for Uber's Customer Obsession Platform Be an invaluable partner to product managers, engineers, operations, & various data teams to help create and execute the direction of the product roadmap which includes scoping the business problem, providing a data lens to product design, owning the experimentation cycle to full global rollouts and eventually impact estimation & long term monitoring, Proactively communicate insights and drive projects to drive towards team goals Ensure data quality across critical pipelines and to set up processes to triage data issues Build & maintain critical data pipelines, insight boards & monitoring tools that help track metrics to measure and monitor platform health Seek out opportunities to build new solutions to tackle Customer & Business pain points Basic Qualifications 2+ years of work experience with a Bachelor's Degree OR 1+ years of work experience with a Master's Degree Work experience should be in a data-focused role such as product analytics, risk analytics, business analytics, business operations, or data science Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience Proven competency in statistical languages like SQL, SAS, R and/or in modern programming languages like Python Past experience with a Product / Tech / Analytics Services company serving businesses with millions of customers on multiple platforms and countries Preferred Qualifications SQL mastery Write efficient and complex code in SQL Experience in Python/R, Experimentation methods like A/B testing, and Statistical modelling is preferred Experience in Customer Service related domains with a Product / Technology / Analytics Services company is a plus Proven ability to handle and visualise large datasets, explore and utilise raw data feeds Love of data One should have the zeal to just go get the required data and turn it into an insightful story Ability to build a structured approach to problem-solving that leads to high quality hypotheses Strong sense of ownership, accountability, and entrepreneurial spirit Effective communicator & proactive collaborator Independent & autonomous, while still a strong team player Enthusiastic, self-starting and thrives in changing, agile environments Show

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.