Locations Parcel 9, Embassy Tech Village, Outer Ring Road, Deverabeesanhalli Village, Varthur Hobli, Bengaluru, IN-KA, 560103, INJob Schedule Full timeJob Description As an experienced Data Scientist andPython Developer, your mission will be to join our inspiring team of innovators and technologists creating innovative modern software to advance our business. We are looking for people who are passionate about solving business problems through the delivery of high quality cloud-centric software embracing modern software practices and technologyWe have an exciting and rewarding opportunity for you to take your software engineering career to the next level.As a Software Engineer III at JPMorgan Chase within the Asset and Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.Job responsibilitiesCollaborate with partners and stakeholders across line of business and functions to delivery software solutions.Develop solutions using Large Language Models(LLMs) and deliver to production along with product and tech partners.Experiment, develop and productionize high quality machine learning models, services and platforms to make huge technology and business impact.Design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business result.Adds to team culture of diversity, equity, inclusion, and respect.Required qualifications, capabilities, and skillsB. Tech/M Tech/BS/ MS in Computer Science or related fieldExperience working with Large Language Models (LLM)/GenAI technology like OpenAI API, (GPT models), HuggingFace models etc. having solid understanding of Transformer architecture.Experience in Natural Language Processing and NLP tools and libraries like SpacyExperience in building, evaluating and deploying Machine learning Models into Production. Strong hands-on experience of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop.Good data science skills as well in so far as analysis of data and documents and thinking through how that data can be processed efficientlyFlexibility, able to execute against tight deadlines, work with minimum supervision, exercise independent judgment, and prioritize workStrong analytical and problem solving skills, Excellent written and verbal communication skills, Excellent dealing with ambiguityPreferred qualifications, capabilities, and skillsFamiliarity with modern front-end technologiesExposure to cloud technologiesAbout Us JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the worlds most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants and employees religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation.About the Team J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.#J-18808-Ljbffrby Jobble

The person we are looking for will become part of Data Science & Optimization Team working within DS&AI competency.Person will be responsible for delivering E2E projects, from POCs to scaling up existing solutions, mostly in Supply Chain area for Top500 FMCG companies.Tasks: Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment of solutions following CRISP-DM methodologies.Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, hypothesis testing, transforming findings into tasks,Sharing know-how and working on projects as a SME of Supply Chain area, specifically in optimization projects.Proactive approach for areas where improvement is needed, like suggestions of improving existing pipelines (tests, support, and improvements).Creating project opportunities in the business (creating use-cases, understanding Customer needs, updates of offerings, success stories updates).Creation and following of standards to improve competency quality.Requirements: Must have:4+ years of professional experience.Experience with Data Analysis, Data Mining, Statistics, Optimization methods, Data Science projects .Understanding and experience in applying Data Science/Machine Learning methods to Supply Chain (Manufacturing, Transportation, Warehousing, Inventory or Sustainability)Experience working in cloud technologies (MS Azure especially)Experience in working with Agile project (like Scrum, Kanban).Experience in working with client-facing role.Able to apply independent research, gather information, and give recommendation how to solve problems of diverse scope.Nice to have:Other programming languages knowledge like: R, SQLSupply Chain business acumen and background gained in FMCG companies.Good understanding of Microsoft Azure technologiesStrong statistical/mathematical background understanding of the math behind ML methods.Good understanding and experience in operationalization of models using VMs.Knowledge about relational databases.Offer: Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.Flexibility regarding working hours and your preferred form of contract.Great Place to Work certified employer.Comprehensive online onboarding program with a Buddy from day 1.Cooperation with top-tier engineers and experts.Unlimited access to the Udemy learning platform from day 1.Internal Gallup Certified Strengths Coach to support your growth.Certificate training programs. Lingarians earn 500+ technology certificates yearly.Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.Grow as we grow as a company. 76% of our managers are internal promotions.A diverse, inclusive, and values-driven community.Autonomy to choose the way you work. We trust your ideas.Create our community together. Refer your friends to receive bonuses.Activities to support your well-being and health.Plenty of opportunities to donate to charities and support the environment.Modern office equipment. Purchased for you or available to borrow, depending on your location.#J-18808-Ljbffrby Jobble

Data Scientist - 1st Party Data page is loaded Data Scientist - 1st Party Data Apply locations India, Bengaluru time type Full time posted on Posted 7 Days Ago job requisition id R-60502 At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. Were looking for people who are determined to make life better for people around the world.Eli Lilly Services India Pvt LtdBusiness Insights & Analytics First Party Data: Data ScientistAbout the team:As Eli Lilly strives to achieve its purpose of making life better for patients, we have been building up our in-house Consumer Experience function, which will design and execute next-generation digital marketing campaigns aimed at informing and educating consumers (or patients) directly.To support the Consumer marketing teams in their decision-making, a data and analytics team has been set up in Indianapolis (HQ) and Bengaluru (LCCI). This team uses works closely with business stakeholders to enable them to make more informed, data driven decisions. A key area of expansion for the team in 2024 is to help facilitate the implementation of a CDP (customer data platform). As part of this team, we are excited to offer the role of a data scientist who will be an integral part of the implementation and scaling of this CDP.Core Responsibilities:Use Applied statistics, Machine Learning and Deep learning techniques and build models to answer business questions at the intersection of the pharmaceutical and digital marketing spaces to provide value to marketing and media teams.Use statistical and machine learning techniques to analyze customer data within the CDP.Implement predictive models to make real-time decisions with the CDP.Build and maintain deep knowledge of the continuously evolving digital marketing landscape.Continuous learning and experimenting new with possibilities for consumer marketing analytics.Collaborate with cross functional teams and external consultants to help review or translate this work to other team members.Stay current with respect to statistical/mathematical modelling methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected.Required2-6 years of relevant experience.Demonstrated in-depth hands-on experience in building models using statistical (Regression, Clustering, Causal Inference, Time series Analysis), ML modelling techniques (Gradient boosting trees, Support Vector Machine, KNN) and Deep Learning (RNNs, LSTM, Transfer learning-based object detection, NLP)Proven experience working with Customer Data Platforms (CDP) or Data Management Platform (DMP) or CRM tool is preferred.Strong prior experience in data science projects from start to finish (including ideation, data exploration, modelling for prediction AND inference and results generation)Highly Proficient in R and Python and Either one of deep learning frameworks Keras/PyTorchGood to have - Ability to write basic SQL.Creative problem solving, attention to detail, flexibility and adaptability.Comfort with ambiguity and a willingness to work with a high degree of autonomy.Demonstrated ability to meet deadlines while managing multiple large-scale projects in a fast-paced and rapidly changing environment.Strong interpersonal communication skills (written and verbal)Preferred QualificationsExperience working with digital data for Healthcare/Retail/BFSI/Digital native companiesFamiliarity with cloud technology and AWS services for analyticsFamiliarity with Machine Learning Productionization workflows Docker containers etcEducation:PhD / Masters degree in technology, statistics, econometrics, operations research or computer science from top educational institutes (IITs / IISc)Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively Lilly) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( Lilly_Recruiting_Compliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. Any other correspondence will not receive a response.Lillydoes not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.#WeAreLillySimilar Jobs (11) Data visualization - Associate Consultant locations India, Bengaluru time type Full time posted on Posted 30+ Days Ago Lead Consultant - Data Scientist locations India, Bengaluru time type Full time posted on Posted 30 Days Ago Associate NE Hub locations India, Bengaluru time type Full time posted on Posted 9 Days AgoAt Lilly we strive to ensure our employees are part of a team that cares about them and our shared purpose of making life better for those around the world.How do we do this? We continue to look for ways to include, innovate, accelerate and deliver while maintaining integrity, excellence and respect for people.We hope that you seek to join us on our journey as we create medicine and deliver improved outcomes for patients across the globe!#J-18808-Ljbffrby Jobble

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Data Scientist Jobs in Indiana, PA

Data ScientistApril 29, 2024

Data Scientist Associate Sr Ai CoreApril 28, 2024

Data ScientistApril 28, 2024

Data Scientist 1St Party DataApril 24, 2024

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