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Senior AI Engineering ManagerJob Characteristics:Demonstrates ability to extensively use and apply data science principles, methods, theories, and concepts to assignments where precedents may not exist. Demonstrates working knowledge and interconnectivity of other related disciplines. Provides solutions to a wide range of difficult problems through design and execution of data science research. Demonstrates ability and initiative to identify, experiment and collaborate on novel approaches to data science solutions. Makes significant contributions to the exploration, refinement and deployment of data science solutions.Education/Work Experience:Degree or advanced degree in data science, mathematics, statistics, computer science or related field. BS and 8-10 years related experience or MS and 5 years related experience or PhD and less than 2 years experience.Independence level/Reports to:Provides basic leadership and individually contributes to key data science projects/experiments of moderate scope and complexity with high impact on the business. Acts with considerable latitude in determining technical approach required to meet desired objectives. Normally reports to Director, Data Science Manager, or senior technical leader.<h4>Experience Level</h4>Senior Level

Ecolab Food Safety & Hygiene Solutions Private Limited

Data Scientist

Data ScientistJob title: Data Scientist<ul><li>Location: Hyderabad</li></ul>About Sanofi: We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions. Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions that will accelerate Manufacturing &amp; Supply performance and help bring drugs and vaccines to patients faster, to improve health and save lives.  Who You Are: You are a dynamic data scientist interested in challenging the status quo to ensure development and impact of Sanofi's AI solutions for the patients of tomorrow. You are an influencer and leader who has deployed AI/ML and optimization solutions applying state-of-the art algorithms with technically robust lifecycle management. You have a keen eye for improvement opportunities and a demonstrated ability to deliver AI/ML and optimization solutions while working across different technologies and in a cross-functional environment.  Our vision for digital, data analytics and AI Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI-first organization. This means: <ul><li>AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment. </li><li>Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack. </li><li>World Class Mentorship and Training: Working with renowned leaders and academics in machine learning to further develop your skillsets  </li></ul>Job Highlights:  <ul><li>Apply data science expertise in machine learning, statistics, text-mining/NLP, forecasting and optimization to multiple analytics projects.  </li></ul><ul><li>Build models, algorithms, and simulations by writing highly optimized code and using state-of-the art machine learning technologies. </li><li>Work with developers, engineers, and MLOps to deliver production-ready AI/ML solutions. </li></ul> Key Functional Requirements &amp; Qualifications: <ul><li>Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML. </li></ul><ul><li>Expertise within most of the following areas: supervised learning, unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, optimization </li><li>Experience developing deployable code and deploying models in product-focused development under an agile environment </li><li>Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark) </li><li>Experience in production-ready software development </li><li>Excellent written and verbal communication, business analysis, data visualization and data storytelling skills </li></ul><ul><li>A demonstrated ability to work and collaborate in a team environment </li><li>Nice to have:  </li><li>Experience in writing optimization models (linear programming, mixed-integer programming, etc.) using Python or other programming languages.  </li><li>Experience developing optimization models using open-source packages (Pyomo, PuLP etc.) or optimization solvers (Gurobi, CPLEX etc.), or Supply Chain Guru, etc.  </li><li>Experience in life sciences and healthcare and experience in a complex global organization </li></ul> Key Technical Requirements &amp; Qualifications: <ul><li>PhD in mathematics, computer science, engineering, physics, statistics, economics, operation research or a related quantitative discipline with strong coding skills, OR Master’s Degree in relevant domain with 4+ years of data science/analytics experience </li><li>Expertise with core data science languages (such as Python, R, Scala), and familiarity with different database systems (e.g. SQL, NoSQL) </li></ul><ul><li>Disciplined AI/ML development (CI/CD, Orchestration) </li><li>Knowledge of Tableau, Power BI, Plotly or similar </li><li>Experience with various enterprise-level Application Programming Interfaces (APIs) </li></ul> Preferred qualifications: <ul><li>Experience working in the Tech industry or technology consulting  </li></ul>Why choose us?<ul><li>Bring the miracles of science to life alongside a supportive, future-focused team.</li><li>Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.</li><li>Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.</li><li>Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.</li><li>Opportunity to work in an international environment, collaborating with diverse business teams and vendors, working in a dynamic team, and fully empowered to propose and implement innovative ideas. </li></ul>Pursue Progress. Discover Extraordinary.Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s 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, or gender identity. Watch our <a href="https://www.youtube.com/watch?v=SkpDBZ-CJKw&amp;t=67s" rel="noopener noreferrer" target="_blank">ALL IN video</a> and check out our Diversity Equity and Inclusion actions at <a href="https://www.sanofi.com/en/our-responsibility/equality-and-inclusiveness" rel="noopener noreferrer" target="_blank">sanofi.com</a>!<h4>Pursue progress, discover extraordinary</h4>Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.Watch our <a href="https://www.youtube.com/watch?v=SkpDBZ-CJKw&amp;t=67s" rel="noopener noreferrer" target="_blank">ALL IN video</a> and check out our Diversity Equity and Inclusion actions at <a href="https://www.sanofi.com/en/our-responsibility/equality-and-inclusiveness" rel="noopener noreferrer" target="_blank">sanofi.com</a>!

Sanofi India Ltd

Visual Data Scientist LeaderAt 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. We’re looking for people who are determined to make life better for people around the world.Organization Overview:At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.The Advanced Intelligence (AI) team brings the power of data and advanced analytic capabilities such as artificial intelligence, machine learning, visual analytics and predictive analytics to identify and solve high-value business questions.  The AI team is actively looking for a motivated leader for Advanced Intelligence who will lead the strategic development and implementation of visual analytics solutions for exploratory problems and data story telling work products for explanatory problems.  This role demands a visionary leader to define, execute, and evolve a robust strategy aligned with organizational goals, while fostering operational excellence, compliance, and collaboration across teams and stakeholders. Responsibilities:<ul><li>Lead a talented and diverse team of visual data scientists to apply their skillsets in diverse areas such as scientific publications, discovery and business development.</li><li>Develop and implement strategy to improve how data scientists communicate and share their analytical results</li><li>Collaborate with leaders in other information technology functions to deliver visual analytics solutions to business problems</li><li>Partner with business/research teams to identify, scope, and execute visual analytics efforts that answer business/scientific questions and deliver value to patients.</li><li>Maintain a broad understanding of the pharmaceutical business and be fully engaged with business/research teams, bringing an objective voice to the table and facilitating decisions grounded in visual analytics and data science.</li><li>Collaborate with other analytics team members to review and provide feedback on the analytics being done and be willing to seek feedback from other team members about your own work.</li><li> Stay current with respect to data science and visual analytics methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected.</li><li>Collaborate with others to design, develop and deploy enterprise-level analytics capabilities/solutions, including applications in explainable AI.</li><li>Consult domain experts and elucidate workflows to incorporate advanced analytics in tools for users with no background in data science. </li><li>Ability to influence people to adopt innovative data visualizations and methods.</li><li>Communicate results effectively using data story telling techniques</li></ul>Basic Qualifications: <ul><li>Ph.D.  or M.S. in Computer Science, Statistics, Biostatistics, Engineering with at least 3 years of experience (excluding internships) in the industry OR</li><li>B.S. in one of the above fields with 7+ years of experience (excluding internships) in the industry, including people management experience,</li><li>Leadership experience and ability to grow and develop a team</li><li>Excellent communication skills, with an strong passion for visual data storytelling</li><li>Proficiency with deploying web-based data visualization using d3, HTML and CSS. </li></ul>Additional Skills/Preferences:<ul><li>Understanding of advanced analytics in statistics and machine learning</li><li>Advanced knowledge of visual analytics algorithms like force directed graph and network diagrams.</li><li>Proficiency with grammar of graphics and data story telling </li><li>Internal or external consulting experience</li><li>Agility and flexibility to work with very diverse problems and business partners </li><li>Self-management skills with a focus on results for timely and accurate completion of competing deliverable </li></ul>Additional Information:<ul><li>When applying please attach or submit a link to your portfolio of work</li><li>You will be on a hybrid work schedule in Bengaluru, India.</li></ul>Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (<a href="https://careers.lilly.com/us/en/workplace-accommodation" rel="noopener noreferrer" target="_blank">https://careers.lilly.com/us/en/workplace-accommodation</a>) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.Lilly does 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.#WeAreLilly<h4>Experience Level</h4>Senior Level

Eli Lilly and Company India Pvt Ltd

Manager, Conferences (Data Analytics & Future Planning)Roles Understanding:Responsible for preparing us for our future and the rapid growth of our Destination Conferences through long term venue and space planning. This includes ensuring program, audience and exhibitor needs can be accommodated in future venues, supporting capacity analysis, program budget writing and determining exhibitor volume.The successful candidate will take ownership of the end-to-end processes for all exhibitor and program session volume and will align with key stakeholders to successfully manage and track changes. This person will drive the decision-making process, understanding what is required and where necessary, help to build &amp; recommend effective solutions and plans to allow for continued conference growth.Primary Responsibilities:<ul><li>Support Exhibitor Operations and Global Exhibitor Sales in sponsorship volume management and product development initiatives.</li><li>Project manage PE90 timelines to ensure program framework and space utilization is determined ahead of renewal deadlines for Global Exhibitor Sales.</li><li>Determine key conference attributes working with relevant stakeholders to ensure the growth and needs of the conference are represented yet also kept in line with expense expectations.</li><li>Support on the agenda skeleton build and manage Gartner session volume approval process.</li><li>Facilitate program budget writing, ensuring program budgets are completed accurately and kept up to date with ongoing approvals.</li><li>Understand all exhibitor products and their impact towards achieving revenue goals as well as financial expense associated to delivering such products. Ensure we are driving decisions to maximize conference contribution.</li><li>Collaborate with exhibitor operations, conference logistics and program management teams to build effective solutions for additional growth. Determine where investment is required and ensure global profit margins are maintained.</li><li>Analyze show floor capacities to determine optimal catering and aisle space requirements. Review all exhibitor deliverables and AVD’s that require space or resources and ensure we make decisions that maximize profitability and optimize space. Create tools and processes to support best practices.</li></ul>Professional Experience Requirements/Qualifications: <ul><li>Minimum Graduate with 4+ years of experience in Data Analysis.</li><li>Strong project manager to drive projects and get decisions.</li><li>Detail oriented &amp; process driven.</li><li>Analytical / ability to perform data analysis.</li><li>Great communication and people skills.</li><li>Problem solver &amp; ability to drive change.</li><li>Excellent presentation skills.</li><li>Events knowledge a plus – understanding of floor plans, challenges, etc.</li></ul>#LI-PP7Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities.Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance.We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a <a href="https://jobs.gartner.com/life-at-gartner/life-at-gartner/gartner-s-awards-and-recognitions/" rel="noopener noreferrer" target="_blank">great place to work</a>.What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity.Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to <a href="mailto:ApplicantAccommodations@gartner.com?subject=Request%20for%20Applicant%20Accommodations" rel="noopener noreferrer" target="_blank">ApplicantAccommodations@gartner.com</a>.Job Requisition ID:103731By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence.Gartner Applicant Privacy Link: <a href="https://jobs.gartner.com/applicant-privacy-policy" rel="noopener noreferrer" target="_blank">https://jobs.gartner.com/applicant-privacy-policy</a> For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.<h4>Experience Level</h4>Mid Level

Gartner India Research & Advisory Services Private Limited

Meeting, Convention, And Event Planner

Quant Analytics Senior AssociateJoin us for an exciting opportunity to lead complex analytics deliveries and drive innovation within Customer Identity &amp; Authentication product.As a Quant Analytics  Senior Associate within the Consumer and Community Banking - Customer Identity &amp; Authentication organization, you will be responsible for supporting advanced analytics projects across various operational functions, channels, and products. Your role will be crucial in enhancing customer experience by ensuring the provision of complete insights. Job Responsibilities: <ul><li>Support and lead partnerships with key stakeholders and product groups with strong understanding of business drivers, underlying data, and processes. </li></ul><ul><li>Lead the development, reporting, and visualization of performance metrics and KPIs. Use analytical tools such as trend analysis, segmentation, optimization, and other techniques to improve business function performance. </li></ul><ul><li>Collaborate with the Area Product Owners to formulate quantifiable goals for measurement; advise on strategies and experimentation required to achieve business goals. </li></ul><ul><li>Provide management with self-service tools to explore and report on current trends of key metrics. </li></ul><ul><li>Analyze interactions across a variety of channels to better understand customer journeys, friction points, and program performance. </li></ul><ul><li>Prepare and deliver presentations summarizing sharp insights and conclusions, often for executives, in regularly-scheduled analytics meetings chaired by the analyst in this role. </li></ul><ul><li>Support our team’s current production reporting environment, including answering questions from stakeholders, troubleshooting issues, and enhancing these processes. </li></ul><ul><li>Ensure compliance with established controls and regulatory requirements in all analytics activities. </li></ul><ul><li>Contribute to innovation and creativity within the team by actively proposing new ideas and approaches to improve processes and support effective solutions. </li><li> Mentor junior analysts and continuously explore new areas within the larger team. </li></ul> Required Qualifications, Skills and Capabilities: <ul><li>5+ years of related experience. Bachelor's degree in a quantitative or related field required. </li></ul><ul><li>Proficiency in SQL, Python, Alteryx, AWS, Snowflake and Tableau. </li></ul><ul><li>Excellent strategic thinking and problem-solving abilities. </li></ul><ul><li>Strong project management skills with the ability to manage multiple projects simultaneously. </li></ul><ul><li>Experience delivering analytics solutions following an Agile (Scrum or Kanban) methodology. </li></ul><ul><li>Familiarity with data mining, statistical modeling, machine learning, and other advanced analytics methods. </li></ul><ul><li>Robust data management skills with a focus on ensuring data quality and organization. </li></ul><ul><li>Demonstrated ability to independently make the decisions and judgements necessary to deliver quality analytics solutions. </li></ul><ul><li>Effective communication skills, both written and verbal. </li></ul><ul><li>Strong soft skills, including adaptability, emotional intelligence, and conflict resolution. </li></ul><ul><li>Demonstrated ability to analyze and solve problems, innovate, and think creatively. </li></ul> Preferred Qualifications, Skills and Capabilities<ul><li>Candidates with past Fraud Risk exposure would be preferred</li><li>Candidates should open to use and integrate AI in data to day operations</li></ul>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s 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 our <a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" rel="nofollow" target="_blank">FAQs</a> for more information about requesting an accommodation.<h4>Experience Level</h4>Senior Level

JP Morgan Services India Pvt Ltd

Senior Analyst

Senior AI/ML Engineer IAbout ChubbChubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&amp;P 500 index. Chubb employs approximately 40,000 people worldwide. Additional information can be found at: <a href="http://www.chubb.com" rel="nofollow" target="_blank">www.chubb.com</a>.About Chubb IndiaAt Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. With a team of over 2500 talented professionals, we foster a startup mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape.We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning.Position Details:<ul><li>Job Title: Senior AI/ML Engineer I</li><li>Location: Bengaluru</li><li>Employment Type: Full-time</li></ul>The Purpose of the roleChubb is seeking a highly skilled and experienced Deep Learning Engineer with Generative AI experience to develop and scale our Generative AI capabilities. The ideal candidate will be responsible for designing, finetuning and training large language models and developing Generative AI systems that can create and improve conversational abilities and decision-making skills of our machines.Responsibilities<ul><li>Develop and improve Generative AI systems to enable high quality decision making, to refine answers for queries, and to enhance automated communication capabilities.</li><li>Own the entire process of data collection, training, and deploying machine learning models.</li><li>Continuous research and implementation of cutting-edge techniques in deep learning, NLP and Generative AI to build state-of-the-art models.</li><li>Work closely with Data Scientists and other Machine Learning Engineers to design and implement end-to-end solutions.</li><li>Optimize and streamline deep learning training pipelines.</li><li>Develop performance metrics to track the efficiency and accuracy of deep learning models.</li></ul>Required knowledge, Skills and qualifications:<ul><li>Minimum of 4 years of industry experience in developing deep learning models with a focus on NLP and Generative AI.</li><li>Expertise in deep learning frameworks such as Tensorflow, PyTorch and Keras.</li><li>Experience working with cloud-based services such as Azure for training and deployment of deep learning models.</li><li>Experience with Hugging Face's Transformer libraries.</li><li>Expertise in developing and scaling Generative AI systems.</li><li>Experience in large dataset processing, including pre-processing, cleaning and normalization.</li><li>Proficient in programming languages such as Python and C++.</li><li>Experience with natural language processing (NLP) techniques and libraries.</li><li>Excellent analytical and problem-solving skills.</li></ul>Why Chubb?Join Chubb to be part of a leading global insurance company!Our constant focus on employee experience along with a start-up-like culture empowers you to achieve impactful results.<ul><li>Industry leader: Chubb is a world leader in the insurance industry, powered by underwriting and engineering excellence</li><li>A Great Place to work: Chubb India has been recognized as a Great Place to Work® for the years 2023-2024 and 2024-2025</li><li>Laser focus on excellence: At Chubb we pride ourselves on our culture of greatness where excellence is a mindset and a way of being. We constantly seek new and innovative ways to excel at work and deliver outstanding results</li><li>Start-Up Culture: Embracing the spirit of a start-up, our focus on speed and agility enables us to respond swiftly to market requirements, while a culture of ownership empowers employees to drive results that matter</li><li>Growth and success: As we continue to grow, we are steadfast in our commitment to provide our employees with the best work experience, enabling them to advance their careers in a conducive environment</li></ul>Employee BenefitsOur company offers a comprehensive benefits package designed to support our employees’ health, well-being, and professional growth. Employees enjoy flexible work options, generous paid time off, and robust health coverage, including treatment for dental and vision related requirements. We invest in the future of our employees through continuous learning opportunities and career advancement programs, while fostering a supportive and inclusive work environment. Our benefits include:<ul><li>Savings and Investment plans: We provide specialized benefits like Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), Retiral Benefits and Car Lease that help employees optimally plan their finances</li><li>Upskilling and career growth opportunities: With a focus on continuous learning, we offer customized programs that support upskilling like Education Reimbursement Programs, Certification programs and access to global learning programs.</li><li>Health and Welfare Benefits: We care about our employees’ well-being in and out of work and have benefits like Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits.</li></ul>Application Process:Our recruitment process is designed to be transparent, and inclusive.<ul><li>Step 1: Submit your application via the Chubb Careers Portal.</li><li>Step 2: Engage with our recruitment team for an initial discussion.</li><li>Step 3: Participate in HackerRank assessments/technical/functional interviews and assessments (if applicable).</li><li>Step 4: Final interaction with Chubb leadership. </li></ul>Join UsWith you Chubb is better. Whether you are solving challenges on a global stage or creating innovative solutions for local markets, your contributions will help shape the future. If you value integrity, innovation, and inclusion, and are ready to make a difference, we invite you to be part of Chubb India’s journey.<h4>Experience Level</h4>Senior Level

Chubb Group

Sr Software Engineer, Data Science<h4>Company Description</h4>LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume – we transform lives through innovative products and technology.Creating economic opportunities for every member of the global workforce is a responsibility we all share. To truly transform the global economy, we must evolve the way we hire and enable our talent to serve people of all backgrounds and experiences. LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer.<h4>Job Description</h4>This role will be based in Bangalore, India.  At LinkedIn, our approach to flexible work is centred on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.  LinkedIn’s Data Science team leverages big data to empower business decisions. The Trust Data Science team at LinkedIn works in close partnership with the trust engineering, content moderator  and product teams to identify opportunities to develop and enhance LinkedIn member experiences. A few examples include: enabling our trust &amp; security team (content reviewers) to be effective through data driven insights and minimize damage to our members, optimize member account access experience while defending attacks, provide insights to improve feed content quality on site, analyze trust/security features’ performance through product A/B testing, etc.We are now looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with product managers, content moderation team, engineers, designers, product marketing, and the trust infrastructure team to develop and deliver tools or data structures that provide actionable recommendations to business partners. Successful candidates will exhibit technical acumen and business savvy, with a passion for making an impact by enabling both producers and consumers of data insight to work smarter.Responsibilities:<ul><li>Work with a team of high-performing analytics, data science professionals, and cross-functional teams to identify business opportunities, optimize product performance or go to market strategy</li><li>Build data expertise, act like an owner for the company and manage complex data systems for a product or a group of products</li><li>Performing all of the necessary data transformations to serve products that empower data-driven decision making</li><li>Establishing efficient design and programming patterns for engineers as well as for non-technical partners</li><li>Designing, integrating and documenting technical components for data flows or applications that perform analysis at a massive scale</li><li>Ensuring best practices and standards in our data ecosystem are shared across teams.</li><li>Understand the analytical objectives to make logical recommendations and drive informed actions</li><li>Engage with internal platform teams to prototype and validate tools developed in-house to derive insight from very large datasets or automate complex algorithms</li><li>Initiate and drive projects to completion with minimal guidance</li><li>Contribute to engineering innovations that fuel LinkedIn’s vision and mission</li></ul><h4>Qualifications</h4><ul><li>Bachelor in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.</li><li>5+ years relevant industry or relevant academia experience working with large amounts of data</li><li>3 + years' experience with SQL/Relational databases</li><li>3 + years' experience with manipulating massive-scale structured and unstructured data.</li><li>Experience with distributed data systems such as Hadoop and related technologies (Spark, Presto, Pig, Hive, etc.).</li><li>Background in at least one programming language (e.g., R, Python, Java, Scala, PHP, JavaScript)</li><li>Experience with data modelling, ETL (Extraction, Transformation &amp; Load) concepts, and patterns for efficient data governance.</li><li>Working knowledge of Unix and Unix-like systems, git and review board.</li></ul><h4>Additional Information</h4>Preferred Qualifications:<ul><li>Masters or Ph.D. degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.</li><li>Bachelors with 5+ years or Masters with 3+ years of industry experience</li><li>Experience in developing data pipelines using Spark and Hive</li><li>Experience with either data workflows/modeling, front-end engineering, or back-end engineering</li><li>Experience in either the front-end or back-end development of data-powered applications. Suggested Skills:</li><li>Deep understanding of technical and functional designs for relational and MPP Databases, Reporting and Data Mining systems</li><li>Strong communication skills, with the ability to synthesize, simplify and explain complex problems to different audiences.</li><li>Experience working with databases that power APIs for front-end applications.</li><li>Experience in data visualization and dashboard design including tools such as Tableau, R visualization packages, D3, and other Javascript libraries, etc.</li></ul>India Disability Policy LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdfGlobal Data Privacy Notice for Job Candidates ​Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.<h4>Experience Level</h4>Senior Level

Linkedin Technology Information Pvt Ltd

Software Engineer 1

IN_Senior Associate_Databricks-- Data and Analytics_Advisory_Pan IndiaLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelSenior AssociateJob Description &amp; SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.Responsibilities:We are seeking a talented Data Engineer with strong expertise in Databricks, specifically in Unity Catalog, PySpark, and SQL, to join our data team. You’ll play a key role in building secure, scalable data pipelines and implementing robust data governance strategies using Unity Catalog.Design and implement ETL/ELT pipelines using Databricks and PySpark. Work with Unity Catalog to manage data governance, access controls, lineage, and auditing across data assets. Develop high-performance SQL queries and optimize Spark jobs. Collaborate with data scientists, analysts, and business stakeholders to understand data needs. Ensure data quality and compliance across all stages of the data lifecycle. Implement best practices for data security and lineage within the Databricks ecosystem. Participate in CI/CD, version control, and testing practices for data pipelines. Required Skills:Proven experience with Databricks and Unity Catalog (data permissions, lineage, audits). Strong hands-on skills with PySpark and Spark SQL. Solid experience writing and optimizing complex SQL queries. Familiarity with Delta Lake, data lakehouse architecture, and data partitioning. Experience with cloud platforms like Azure or AWS. Understanding of data governance, RBAC, and data security standards. Preferred Qualifications: Databricks Certified Data Engineer Associate or Professional. Experience with tools like Airflow, Git, Azure Data Factory, or dbt. Exposure to streaming data and real-time processing. Knowledge of DevOps practices for data engineering.Mandatory skill sets:DatabricksPreferred skill sets:DatabricksYears of experience required:7-14 yearsEducation qualification:BE/BTECH, ME/MTECH, MBA, MCAEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Technology, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsDatabricks PlatformOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 28 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End Date<h4>Experience Level</h4>Senior Level

PriceWaterhouseCoopers Pvt Ltd ( PWC )

Data Engineer

Specialist Digital Data EngineerAbout Growing with usSanofi is hiring key contributors to onboard Sanofi Digital transformation journey and to embrace the Digital capabilities. SAP systems are a key component of this digital transformation. SANOFI has an important number of SAP systems, and one of the main objectives of the SAP HUB is to extract, union and provide data of these SAPs for the different consumers (Data Foundations, Data Products, IA, Reporting, …).The ideal candidate should possess a minimum of 6 years of experience in data modelling, data engineering, with also a very good knowledge on SAP technical aspects.You excel at coaching and managing Data Engineers, providing guidance, mentorship, and support to foster their professional growth and ensure project success. Your keen eye for improvement opportunities and demonstrated ability to deliver solutions in cross-functional environments make you an invaluable asset to our team.Main responsibilities:<ul><li>Propose and establish technical designs to meet business and technical requirements.</li><li>Develop and maintain data engineering solutions based on requirements and design specifications using appropriate tools and technologies.</li><li>Discuss with the business to understand the needs and translate it to specifications, thanks to SAP knowledge</li><li>Create and optimize data pipelines / ETL pipelines for performance.</li><li>Test and validate developed solutions to ensure they meet requirements.</li><li>Create design and development documentation based on standards for knowledge transfer, training, and maintenance.</li><li>Work with business and product teams to understand requirements and translate them into technical needs.</li><li>Adhere to and promote best practices and standards for code management, automated testing, and deployments.</li><li>Leverage existing or create new standard data pipelines within Sanofi to bring value through business use cases.</li><li>Develop automated tests for CI/CD pipelines.</li><li>Gather and organize large and complex data assets, and perform relevant analysis.</li><li>Conduct peer reviews for quality, consistency, and rigor for production-level solutions.</li><li>Develop automatic mechanism to ensure consistency of data from SAP to SAP HUB.</li><li>Communicate results and findings in a clear, structured manner to stakeholders.</li><li>Coach other members of the data engineering team on workflows, technical topics, and pipeline management.</li><li>Coach and manage junior Data Engineers, providing guidance, mentorship, and support to foster their professional growth and ensure project success.</li><li>Stay up to date on the company’s standards, industry practices, and emerging technologies.</li></ul>About you<ul><li>Functional Requirements &amp; Qualifications:</li><li>Experience working with cross-functional teams to solve complex data architecture and engineering problems.</li><li>Demonstrated ability to quickly learn new data and software engineering technologies.</li><li>Good knowledge of SAP data model</li><li>Good understanding of agile/scrum development processes and concepts.</li><li>Ability to work in a fast-paced, constantly evolving environment and manage multiple priorities.</li><li>Strong technical analysis and problem-solving skills related to data and technology solutions.</li><li>Excellent written, verbal, and interpersonal skills with the ability to communicate ideas, concepts, and solutions to peers and leaders.</li><li>Pragmatic and capable of solving complex issues with technical intuition and attention to detail.</li><li>Service-oriented, flexible, and approachable team player.</li><li>Technical Requirements &amp; Qualifications:</li><li>Bachelor’s Degree or equivalent in Computer Science, Engineering, or a relevant field.</li><li>6+ years of experience in data engineering, integration, data warehousing, business intelligence, business analytics, or a comparable role with relevant technologies and tools, such as Informatica/IICS/SAP.</li><li>Strong understanding of data structures and algorithms.</li><li>Working knowledge of scripting languages (Python, Shell scripting).</li><li>Experience with SAP Technical aspect linked to data (SAP data model)</li><li>Experience with SAP</li><li>Experience with cloud-based data platforms (Snowflake is a plus).</li><li>Experience with SAP SAC is a plus</li><li>Experience with SAP BW is a plus</li><li>Experience with job scheduling and orchestration tools (Airflow is a plus).</li><li>Proficient in SQL and relational database technologies/concepts.</li><li>Experience working with data models and query tuning. </li><li>Education</li><li>Bachelor’s Degree or equivalent in Information Technology or Engineering</li><li>Languages</li><li>Fluent spoken and written English</li><li>When joining our team, you will experience:</li><li>If you have a passion for SAP Data and are looking for a challenging role where you can make a significant impact, we would love to hear from you.</li><li>An international work environment, in which you can develop your talent and realize ideas and innovations within a competent team.</li><li>Your own career path within Sanofi. Your professional and personal development will be supported purposefully.</li></ul>Pursue progress, discover extraordinaryBetter is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.  At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity  At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients, and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.<h4>Pursue progress, discover extraordinary</h4>Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.Watch our <a href="https://www.youtube.com/watch?v=SkpDBZ-CJKw&amp;t=67s" rel="noopener noreferrer" target="_blank">ALL IN video</a> and check out our Diversity Equity and Inclusion actions at <a href="https://www.sanofi.com/en/our-responsibility/equality-and-inclusiveness" rel="noopener noreferrer" target="_blank">sanofi.com</a>!<h4>Experience Level</h4>Senior Level

IPB CLIENT SERVICE ANALYTICS - AssociateYou are a strategic thinker passionate about driving solutions in Analytics . You have found the right team.As an Analytics Associate in our Finance team, you will spend each day defining, refining and delivering set goals for our firm. Job responsibilities:<ul><li>Demonstrate advanced programming skills in Python; write complex SQL code and automate processes to source, transform, and analyze data from multiple structured and unstructured sources.</li><li>Apply critical thinking and perform advanced analytics to solve complex, multi-faceted business problems using analytics and visualization platforms such as QlikSense, Tableau, and Alteryx.</li><li>Create and leverage analytical approaches to analyze domain-specific source data, providing accurate conclusions and identifying improvement initiatives.</li><li>Communicate ideas and results to stakeholders and leadership clearly and concisely, showcasing excellent problem-solving abilities.</li><li>Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations for business performance improvement.</li><li>Collaborate with cross-functional teams to identify requirements and develop solutions that meet organizational business needs.</li></ul>Required qualifications, capabilities, and skills<ul><li>6+ years of working experience on analytical tools (Tableau/ Qliksense/  SQL)</li><li>At least 8+ years of exp. with Alteryx/ Python/ databricks to develop ETL pipelines</li><li>Experience building measures and metrics, and developing reporting dashboards </li><li>Strong grasp of big data disciplines, AWS, Agile (scrum) methodologies, and new technologies. Able to communicate effectively with Senior leaders to enable collaboration, decision-making, and transparency.</li><li>Experience in developing standardized solutions for data acquisition, transformation and analysis</li><li>Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations that can be used to improve business performance. </li></ul> Preferred qualifications, capabilities, and skills<ul><li>Ability to drive projects end to end from requirement analysis, development, testing to closure</li></ul>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s 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 our <a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" rel="nofollow" target="_blank">FAQs</a> for more information about requesting an accommodation.<h4>Experience Level</h4>Senior Level

Analyst

Sr Data Scientist - Forecasting<h4>Career Category</h4>Information Systems<h4>Job Description</h4>ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.   ABOUT THE ROLE Role Description: Amgen is seeking a Sr. Data Scientist to develop, design and deploy AI enabled forecasting models. You will apply deep technical expertise—from data ingestion to model deployment —to scale forecasting models across R&amp;D, Manufacturing, and Commercial for critical needs You will manipulate large messy datasets, write high-quality code, and adapt complicated machine learning models to the problems at-hand. The Sr. Data Scientist should be well versed in moving models from development to production and have a good sense for tracking and updating model performance. Also, you will distill complicated technical work to understandable and actionable outputs for key stakeholders. Roles &amp; Responsibilities:  <ul><li>Integral part of a high performing team of data scientists and engineers looking to translate machine learning algorithms into effective solutions focused on forecasting </li></ul><ul><li>Perform exploratory and targeted data analyses using descriptive statistics and other methods to identify patterns and anomalies </li></ul><ul><li>Develop or lead development of high-performance forecasting algorithms, prototypes, predictive models, and proof of concepts using a cutting-edge technical stack </li></ul><ul><li>Design and implement analytics pipelines leveraging MLOps practices </li></ul><ul><li>Collaborate with data engineers on data quality assessment, data cleansing, and the development of operational data pipelines </li></ul><ul><li>Further build the team by contributing ideas and standard methodologies, and keeping abreast of developments in industry and academia </li></ul><ul><li>Communicate effectively and influence a diverse set of technical, scientific, medical, and business constituents at the functional and executive levels </li></ul><ul><li>Assuring compliance with regulatory, security, and privacy requirements as it relates to data assets </li></ul><ul><li>Share and discuss findings with team members practicing SAFe Agile delivery model </li></ul>Must-Have Skills: <ul><li>Proven experience working on large-scale forecasting solutions that drive measurable business outcomes </li></ul><ul><li>Advanced proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) </li></ul><ul><li>Experience in analyzing time-series data for forecasting and trend analysis  </li></ul><ul><li>Experience in designing, evaluating, and applying a variety of supervised and unsupervised machine learning models to drive business value </li></ul><ul><li>Experience with Generative AI models (e.g., GPT, DALL·E, Stable Diffusion) and their applications across domains in forecasting </li></ul><ul><li>Familiarity with the modern data stack: distributed computing tools (Spark, Hive, etc.), cloud computing environments, and source code control technologies (e.g. Git) </li></ul><ul><li>Proficiency in state-of-the-art machine learning tools, such as deep learning frameworks, transformer models, NLP models, time series models and Bayesian models, with demonstrated and interpretable insight and impact </li></ul><ul><li>Experience with Databricks platform for data analytics and MLOps </li></ul><ul><li>Strong communication skills – capable of presenting complicated and nuanced work in a clear, concise, and understandable manner to a diverse audience </li></ul>Nice-to-Have Skills: <ul><li>Experience in Biotechnology or pharma industry is a big plus </li></ul><ul><li>Master’s degree in computer science and/or data science  </li></ul><ul><li>Familiarity with Agile methodologies and Scaled Agile Framework (SAFe) for project delivery </li></ul>Education and Professional Certifications <ul><li>Master’s degree or Bachelor’s degree in Computer Science, Business, Engineering, IT or related field</li><li>8+ Years of relevant work experience</li><li>Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus </li></ul>Soft Skills: <ul><li>Initiative to explore alternate technology and approaches to solving problems  </li></ul><ul><li>Skilled in breaking down problems, documenting problem statements, and estimating efforts  </li></ul><ul><li>Excellent analytical and troubleshooting skills </li></ul><ul><li>Strong verbal and written communication skills </li></ul><ul><li>Ability to work effectively with global, virtual teams </li></ul><ul><li>High degree of initiative and self-motivation </li></ul><ul><li>Ability to manage multiple priorities successfully  </li></ul><ul><li>Team-oriented, with a focus on achieving team goals </li></ul><ul><li>Ability to learn quickly, be organized and detail oriented </li></ul><ul><li>Strong presentation and public speaking skills </li></ul> EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.   .<h4>Experience Level</h4>Senior Level

Amgen Technology Private Limited

Connect Coach - Data Scientist Associate Sr.You thrive on diversity and creativity, and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights. As a Data Scientist Associate at JPMorgan Chase within the Asset &amp; Wealth Management, you are part of an agile team that works to enhance, design, and deliver the data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As an emerging member of a data engineering team, you execute data solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. Job responsibilities <ul><li>Collaborates with all of JPMorgan’s lines of business and functions to delivery software solutions. </li><li>Experiments, develop and productionize high quality machine learning models, services and platforms to make huge technology and business impact. </li><li>Designs and implement highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business result. </li><li>Adds to team culture of diversity, opportunity, inclusion, and respect</li></ul> Required qualifications, capabilities, and skills <ul><li>Formal training or certification on Data Science concepts and 2+ years applied experience</li><li>Solid programming skills with Python/Java or other equivalent languages. </li><li>Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. </li><li>Expert in at least one of the following areas: Natural Language Processing, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. </li><li>Knowledge of machine learning frameworks: Tensorflow/Pytorch </li><li>Knowledge of prompt engineering. Experience in ETL data pipelines both batch and real-time data processing, Data warehousing, NoSQL DB, Elastic. </li><li>Cloud Technologies: AWS/GCP/Azure, Kubernetes </li></ul>   <h4>Experience Level</h4>Mid Level

IPB CLIENT SERVICE ANALYTICS - AssociateYou are a strategic thinker passionate about driving solutions in Client service analytics. You have found the right team.As a Client Analyst in our Finance team, you will spend each day defining, refining and delivering set goals for our firm. Job responsibilities:<ul><li>Demonstrate programming skills in Python and write complex SQL code to automate processes for sourcing, transforming, and analyzing data from multiple structured and unstructured sources.</li><li>Apply critical thinking and perform advanced analytics to solve complex, multi-faceted business problems using the firm’s analytics and visualization platforms such as QlikSense, Tableau, and Alteryx.</li><li>Create and leverage analytical approaches to analyze domain-specific source data, providing accurate conclusions that lead to the identification of improvement initiatives.</li><li>Exhibit excellent problem-solving abilities and communicate ideas and results to stakeholders and leadership in a clear and concise manner.</li><li>Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations for improving business performance.</li><li>Collaborate with cross-functional teams to identify requirements and develop solutions that meet business needs within the organization.</li></ul>Required qualifications, capabilities, and skills<ul><li>5+ years of working experience on analytical tools (Tableau/ Qliksense/  SQL)</li><li>At least 5+ years of exp. with Alteryx/ Python/ databricks to develop ETL pipelines</li><li>Experience building measures and metrics, and developing reporting dashboards </li><li>Strong grasp of big data disciplines, AWS, Agile (scrum) methodologies, and new technologies. Able to communicate effectively with Senior leaders to enable collaboration, decision-making, and transparency.</li><li>Experience in developing standardized solutions for data acquisition, transformation and analysis</li><li>Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations that can be used to improve business performance. </li></ul>Preferred qualifications, capabilities, and skills<ul><li>Ability to drive projects end to end from requirement analysis, development, testing to closure.</li></ul>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s 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 our <a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" rel="nofollow" target="_blank">FAQs</a> for more information about requesting an accommodation.<h4>Experience Level</h4>Mid Level

Client Service Executive

Staff Machine Learning Engineer (Gen AI/Agentic AI)About ZscalerServing thousands of enterprise customers around the world including 45% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler. Our Engineering team built the world’s largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy.We're looking for an experienced Staff Machine Learning Software Development Engineer to join our Engineering team. Reporting to the Engineering Manager, you'll be responsible for:<ul><li>Developing and deploying Gen AI/ML workflows to enhance engineering efficiency, software quality, security, deployments, observability, and incident analysis</li><li>Developing Agentic AI based solutions to connect AI code assist tools with multiple engineering systems and automating workflows </li><li>Overseeing the entire lifecycle of ML projects, including analysis, training, testing, building, and deploying ML models into production environments</li><li>Collaborating with cross-functional teams to define system requirements and design scalable, secure, and reliable solutions </li><li>Providing technical leadership and mentorship to junior team members, fostering a culture of continuous learning and growth</li></ul><h4>What We're Looking for (Minimum Qualifications)</h4><ul><li>5+ years of experience as a Software Engineer or ML Platform Engineer</li><li>Skilled in data science tools, languages, and frameworks like Python, R, Java, TensorFlow, PyTorch, Langchain, LangGraph, N8N, MXNet, SQL, and related libraries, with expertise in writing clean, efficient, and maintainable code</li><li>Proven experience in creating Gen AI/ML-based systems using Large Language Models (LLMs), fine-tuning LLMs for specific tasks, Retrieval-Augmented Generation (RAG) and Agentic AI</li><li>Expertise in system design, security, and scalability, with a proven history of building complex, scalable systems</li><li>Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is highly desirable</li></ul><h4>What Will Make You Stand Out (Preferred Qualifications)</h4><ul><li>Expertise in developing Agentic AI based solutions using MCP servers, ADK or equivalent frameworks</li><li>Experience deploying ML models in production with orchestration tools like Kubeflow, Kubernetes, and Airflow</li><li>Experience with distributed computing (e.g., Spark), big data, GPU/TPU solutions, and hardware-specific workflow design</li></ul>#LI-Hybrid #LI-SK3At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:<ul><li>Various health plans</li><li>Time off plans for vacation and sick time</li><li>Parental leave options</li><li>Retirement options</li><li>Education reimbursement</li><li>In-office perks, and more!</li></ul>Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits <a href="https://www.zscaler.com/careers">here</a>.By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf">Know Your Rights: Workplace Discrimination is Illegal </a>link.Pay TransparencyZscaler complies with all applicable federal, state, and local pay transparency rules.Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.<h4>Experience Level</h4>Senior Level

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