19784 Statistics Jobs - Page 49

Overview Our analysts transform data into meaningful insights that drive strategic decision making. They analyze trends, interpret data, and discover opportunities. Working cross-functionally, they craft narratives from the numbers - directly contributing to our success. Their work influences key business decisions and shape the direction of Comcast. Success Profile What makes a successful Data Engineer 2 at Comcast? Check out these top traits and explore role-specific skills in the job description below. Good Listener Problem Solver Organized Collaborative Perceptive Analytical Benefits We’re proud to offer comprehensive benefits to help support you physically, financially and emotionally through the big milestones and in your everyday life. Paid Time off We know how important it can be to spend time away from work to relax, recover from illness, or take time to care for others needs. Physical Wellbeing We offer a range of benefits and support programs to ensure that you and your loved ones get the care you need. Financial Wellbeing These benefits give you personalized support designed entirely around your unique needs today and for the future. Emotional Wellbeing No matter how you’re feeling or what you’re dealing with, there are benefits to help when you need it, in the way that works for you. Life Events + Family Support Benefits that support you no matter where you are in life’s journey. Data Engineer 2 Location Chennai, India Req ID R400602 Job Type Full Time Category Analytics Date posted 08/18/2025 Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for designing, building and overseeing the deployment and operation of technology architecture, solutions and software to capture, manage, store and utilize structured and unstructured data from internal and external sources. Establishes and builds processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required. Develops technical tools and programming that leverage artificial intelligence, machine learning and big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis. Creates and establishes design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements. Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs. Work with data modelers/analysts to understand the business problems they are trying to solve then create or augment data assets to feed their analysis. Works with moderate guidance in own area of knowledge. Job Description Responsibilities: The Data Engineer will work within a geographically disperse operations team that seeks continuous improvement for NBCUniversal analytics and business intelligence technologies. As the flood of digital information increases, the Data Engineer in this role will be responsible for connecting multiple open and closed sourced systems and transitioning raw data to predictive information for partners across broadcast (cable, news, and sports networks), film studios, and world-renowned theme parks. In the Data Engineer role, you will be working with internal stakeholders, data engineers, visualization experts, data scientists, and other technologists across the business. If you are someone who strives for continuous operational improvement through automation and value creation, you have come to the right place. Here you can create the extraordinary. Join us! Maintain a 24/7 operational resiliency across data pipelines. Seek continuous improvement of operations by automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability. Deliver services that meet internal KPIs and customer SLAs. Collaborate with engineers to remediate cyber alerts in custom code and infrastructure. Ensure operational policies and standards are followed across the organization. Interface with other technology teams to leverage cloud-native data engineering principles to maintain high quality data faster. Foster a DevOps culture and participate in development sprints, retrospectives, releases, and deployments. Build and manage relationships to optimize value creation from ideation to delivery and maintenance. Qualifications: 3-5 years of experience in a data engineering role Experience with Python, SQL, Bash Scripting, and Informatica Experience with AWS, Airflow, Snowflake, Docker, and GitHub Experience with Snyk, Prisma, Wiz, and Qualys Understanding of SDLC and Agile Methodologies Understanding of Test-Driven Development and CI/CD Knowledge of data management fundamentals and data storage principles General understanding of cloud data engineering design patterns and use cases Bachelor's degree in Computer Science, Data Science, Statistics, Informatics, Information Systems or related field. Desired Characteristics: Lifelong Learner – technology is constantly evolving, and you love continuously learning new ways to upskill yourself. Positive Ownership Attitude – You foster a positive ownership mindset by taking pride in all that you do; holding yourself and partners accountable to productive outcomes. Action-oriented – You are discovering new solutions and regularly showing actionable results. Communicator – You have excellent verbal and written skills with the ability to communicate ideas effectively across all levels of the organization, to both technical and non-technical audiences Partnership – You display ethical behavior, integrity, respect and build trust among colleagues. Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 2-5 Years

Primary Model Developer for Moody’s AXIS model which is set up for a major Variable Annuity product sold by Client in the US.Lead and deliver various quarterly model changes like Assumption Updates, New business setup, improving model efficiency.Perform independent testing and impact quantification and justification. Detailed documentation and communication regarding model changes with wider teams.Review work done by junior members, ensuring quality of work product during time sensitive deadlines.Maintain strong stakeholder/client relationships.Primary touchpoint for Testing, Valuation and Risk Management teams for support on business and model related queries. QualificationsBachelor’s degree in actuarial science/Math/Stats/Engineering/Computer or equivalent quantitative disciplineTotal 8-10 years of experience in US life insurance with minimum 4-6 years of life/Annuity actuarial modeling in Moody’s AXIS8-10 actuarial papers - ideal requirement Skills requiredGood knowledge of US Life insurance and specifically Variable Annuity products (Fixed Indexed Annuity, Guaranteed Minimum Income/Death/Withdrawal benefits, Indexed Linked Annuities, Group Annuities, Payouts)Excellent technical knowledge of US STAT/GAAP regulations (PBR, NY DFS Reg 213, LDTI DAC)Expertise in Actuarial modeling - Moody’s AXIS (such as handling scenarios, Formula tables, application of overrides, awareness of significant switches in reserving assumption sets)Understanding of calculation of AXIS cashflows and reserves on a first principle basis.Excellent coding and troubleshooting skills in GGY AXIS modelling software.Knowledge of Hedging, Asset Liability modelling and derivatives in Moody’s AXIS is an added skillset.Good working knowledge of the relevant actuarial concepts and methodologies.Strong analytical ability and ability to drive various process and analytical improvement initiatives within the team.Excellent communication, execution and people management skills. Qualifications Bachelor's degree in Science (Statistics/Mathematics/Economics) + papers cleared in Actuarial science (SOA preferred)

As one of the world’s leading asset managers, Invesco is dedicated to helping investors worldwide achieve their financial objectives. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, smart colleagues, and a global employer with a social conscience, come explore your potential at Invesco. Make a difference every day! Job Description Your Team: Client Intelligence team is responsible for increasing data driven decision making at Invesco. The group works mostly with the Americas & EMEA Distribution and Marketing teams to help achieve our ‘play to win’ goals through a better understanding of our clients. It works like a small startup within the organization, with a clear focus on improving effectiveness and efficiency through end-to-end management of data, analytics, visualization and in-field implementation. Your Role : Ensure accurate and timely data reporting and analytics for distribution partners and internal stakeholders Analyze Institutional activity, transactions, assets, product performance data to identify trends, client behavior and performance metrics Utilize 3rd party data, such as eVestment, MMD, and FactSet for competitive analysis, performance benchmarking and client reporting Develop and maintain interactive dashboards and data visualizations using Tableau and Power BI to support strategic decision making Write complex SQL queries to extract and manipulate data from Snowflake and other data warehouses Conduct segmentation analysis to identify high potential clients and investment opportunities Automate data extraction, transformation and reporting processes to increase efficiency and accuracy Present data-driven insights and recommendations to stakeholders, translating complex analytics into clear and actionable insights Collaborate with cross-functional teams (sales, marketing) to gather requirements and deliver data driven insights Monitor and assess the impact of implemented solutions, continuously refining approaches based on feedback and results Serve as a liaison between stakeholders and data analytics team in all phases of projects Project manage the solution design and implementation process The experience you bring: 3+ years of experience developing actionable insights and applying data analytics in a sales consulting setting in the asset management industry or financial services industry Hands-on experience as a data engineer, developing and applying data analytics and deployment Proficiency in Tableau and Power BI for data visualization Proven hands-on experience with 3rd party data for performance benchmarking, client analysis and competitive Insights Strong SQL skills, with experience working in Snowflake or similar cloud data warehouses Good understanding of data manipulation and transformation techniques Excellent analytical thinking, problem solving skills and attention to detail Familiarity with CRM and Sales performance systems (e.g., Salesforce) Proficiency in Python for data analysis and automation Academic Requirements Undergraduate or advanced degree in a quantitative or Finance discipline (such as Statistics, Mathematics, Business Analytics) with focus on data analytics techniques Strong academic qualifications, including advanced understanding/coursework in database management and Data Science Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) No Workplace Model At Invesco, our workplace model supports our culture and meets the needs of our clients while providing flexibility our employees value. As a full-time employee, compliance with the workplace policy means working with your direct manager to create a schedule where you will work in your designated office at least three days a week, with two days working outside an Invesco office. Why Invesco In Invesco, we act with integrity and do meaningful work to create impact for our stakeholders. We believe our culture is stronger when we all feel we belong, and we respect each other’s identities, lives, health, and well-being. We come together to create better solutions for our clients, our business and each other by building on different voices and perspectives. We nurture and encourage each other to ensure our meaningful growth, both personally and professionally. We believe in diverse, inclusive, and supportive workplace where everyone feels equally valued, and this starts at the top with our senior leaders having diversity and inclusion goals. Our global focus on diversity and inclusion has grown exponentially and we encourage connection and community through our many employee-led Business Resource Groups (BRGs). What’s in it for you? As an organization we support personal needs, diverse backgrounds and provide internal networks, as well as opportunities to get involved in the community and in the world. Our benefit policy includes but not limited to: Competitive Compensation Flexible, Hybrid Work 30 days’ Annual Leave + Public Holidays Life Insurance Retirement Planning Group Personal Accident Insurance Medical Insurance for Employee and Family Annual Health Check-up 26 weeks Maternity Leave Paternal Leave Adoption Leave Near site Childcare Facility Employee Assistance Program Study Support Employee Stock Purchase Plan ESG Commitments and Goals Business Resource Groups Career Development Programs Mentoring Programs Invesco Cares Dress for your Day In Invesco, we offer development opportunities that help you thrive as a lifelong learner in a constantly evolving business environment and ensure your constant growth. Our AI enabled learning platform delivers curated content based on your role and interest. We ensure our manager and leaders also have many opportunities to advance their skills and competencies that becomes pivotal in their continuous pursuit of performance excellence. To Know More About Us About Invesco: https://www.invesco.com/corporate/en/home.html About our Culture: https://www.invesco.com/corporate/en/about-us/our-culture.html About our D&I policy: https://www.invesco.com/corporate/en/our-commitments/diversity-and-inclusion.html About our CR program: https://www.invesco.com/corporate/en/our-commitments/corporate-responsibility.html Apply for the role @ Invesco Careers : https://careers.invesco.com/india/

DESCRIPTION We are looking for a leader who can own our analytics roadmap, develop and grow the careers of Business Analysts in our team and serve as a key partner for our Operations, Product, Engineering and Science teams. In this role, you will: a) lead a team of Business Analysts to identify and solve business problems using vast amounts of data from disparate sources; b) drive a Analytics roadmap, prioritizing business insight requests to balance the tactical and strategic information needs; c) work closely with our Ops and Engineering teams to build, maintain pipelines which powers critical products/features that influence operations, CX, Product and Science d) guide and coach your team to continuously improve operational excellence and ability to deliver best-in-class solutions. About the team OPTIMA Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. BASIC QUALIFICATIONS Bachelor's degree in Business, Engineering, Statistics, Computer Science, Mathematics or related field 5+ yrs of experience in a business analyst/data analyst/statistical analyst role 2+ leading a team of Business Analysts Highly skilled at querying relational databases, ability to pull from various sources and having done so in a business environment Experience in data visualization platforms Proven problem-solving skills, project management skills, attention to detail, and exceptional organizational skills Communication (verbal, written, and data presentation) and interpersonal skills to effectively communicate with both business and technical teams PREFERRED QUALIFICATIONS Master's degree in Business, Engineering, Statistics, Computer Science, Mathematics or related field Experience conducting advanced statistical analysis (skilled in using one or more of R/SPSS/SAS/Python and etc.) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION About Amazon.com: Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company's DNA. The world's brightest technology minds come to Amazon.com to research and develop technology that improves the lives of shoppers and sellers around the world. Overview of the role The Business Research Analyst will be responsible for Data and Machine learning part of continuous improvement projects across the Selling Partner Return Reduction space. This will require collaboration with Product, Science and Engineering teams. The Research Analyst should be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. The Research Analyst will perform Big data analysis to identify patterns, train model to generate product to product relationship and product to brand & model relationship. The Research Analyst is also expected to continuously improve the ML/LLM solutions in terms of precision & recall, efficiency and scalability. The Research Analyst should be able to write clear and detailed functional specifications based on business requirements. Key job responsibilities Collaborate and propose best in class ML/LLM solutions for business requirements Dive deep to drive product pilots, demonstrate innovation and customer obsession to steer the product roadmap Develop scalable solutions by writing high-quality code, building ML/LLM models using current research breakthroughs and implementing performance optimization techniques Coordinate design efforts between Sciences and Software teams to deliver optimized solutions Communicate technical concepts to stakeholders at all levels Ability to thrive in an ambiguous, uncertain and fast moving ML/LLMuse case developments Familiar with ML/LLM models and able to work independently. About the team RBS Brand experience (BX) enables WW brands (FBA Sellers and Retail Vendors) with strategic, actionable insights and recommendations to help them grow their business and reduce returns; through recognizing and solving Brands key pain points related to 3 themes: 1) product quality, 2) catalog quality, and 3) selection quality. We do this by: 1) identifying and validating underserved Brand pain points, 2) building proof of concept, solution and capabilities in partnership with Brands, 3) scaling the solution by leveraging tech, 4) launching full scale brand facing solutions to WW brands, and 5) continuously improve solutions through control mechanisms. BASIC QUALIFICATIONS Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics) 3+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms Strong hands-on programming skills in Python, SQL. Additional knowledge of Spark, Scala, R, Java desired but not mandatory Strong analytical thinking Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations. PREFERRED QUALIFICATIONS Master's degree with specialization in ML, NLP or Computer Vision preferred 3+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) - Diverse experience will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in Data science, ML and Statistics Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Job Title Manager - Property Job Description Summary Successful completion of scheduled activities as per SLA agreed with Client. Prompt and courteous response to Client requests. Management of budget, equipment and materials on behalf of Client/RWA/ Association. Job Description Major Responsibilities: Inspect and monitor the functions of building facilities including lifts, air conditioning, fire services, water supply, electricity supply and building work. Monitor the process of Report and follow up of request & complaints from occupants to management office. Report to CLIENT Management in the event of any major/minor breakdown immediately which would adversely impact CLIENT Management’s business operations Inspect and monitor the function of Township including HVAC, fan coil units, electrical, cable, Civil, plumbing, water supply, sewage, interior design work & lighting etc. To set and monitor process to liaise with contractor for any malfunctions detected. Ensure proper Follow up and completion on rectification works/pending requests and report to CLIENT Management as per SLA by PM team. To implement and monitor a process for liaison with supplier regarding any damage, loss found, malfunction of building supplies To ensure that proper follow up any requests/complaints from CLIENT employees is done by APM/ Shift Engineers/ Executives. To implement a process which ensures all equipment are in good working order. To check that APM / SE monitor the following:- Report and send service order to contractor for maintenance and repair. Evaluate the service level of the contractor. Advise CLIENT from time to time on performance of the equipment’s and help to take repair/purchase decisions To ensure that the process of proper cleaning is followed and monitored by APM / Executive. To ensure a clean, health & hygienic working environment. Responsible for Public Relations including liaison with all local statutory bodies. Liaison with telecommunication agencies. Payment of property tax. Ensure statutory compliance on ESIC/PF/Labor laws by all vendors. To liaise with contractors, collect quotations and prepare quotation analysis. To make recommendation for approval. Follow up on service level and report to the CLIENT Management. To keep and revise the existing contracts with different vendors. To liaise with vendors on contract renewal. To compare, Evaluate and recommend vendors. Monthly (or as required) Vendor Meetings to agree Monthly Supplier evaluation and plan for forthcoming month To formulate, implement and monitor the inventory control process and ensure supplies are at maintained at preapproved level. Control and get the inventory in/out record prepared by SE / Executive on weekly/daily basis. To decide, implement and monitor the Procurement process for consumables and goods in agreement with CLIENT policy and procedure. To monitor delivery from approved supplier and ensure they are follow the SLA. Annual Budgeting and Monthly Accounting Maintain an prepare and Implement systems and procedure Conduct Risk Assessments of all activities. Ensuring Accident Log is kept up to date reporting EH&S statistics and incidents in Monthly Report To Coordinate with CLIENT representatives to get the PPM schedules prepared by SE approved and implemented. Get the reports on engineering systems operation and maintenance from SE To ensure that the Engineering budget is properly made and followed by the engineering team. To ensure that C&W team is well trained and motivated at all the times. Leave planning/approval Coordinate with HR for hiring etc. Ensure attendance records are sent to C&W head office on time every month. Ensure submission of MMR before 7th of every month for the previous month. Ensure Daily/weekly reports are submitted to client on time Qualification Diploma / BE / B Tech. (Electrical/Electronics & Communication / Mechanical) or above OR Graduate (with Minimum 8 Yrs. Experience) with good communication skill & Administration and Technical knowledge Work Experience Minimum Experience – 8-10 Years Compensation :10,00,000 LPA Why join Cushman & Wakefield? As one of the leading global real estate services firms transforming the way people work, shop and live working at Cushman & Wakefield means you will benefit from; Being part of a growing global company; Career development and a promote from within culture; An organisation committed to Diversity and Inclusion We're committed to providing work-life balance for our people in an inclusive, rewarding environment. We achieve this by providing a flexible and agile work environment by focusing on technology and autonomy to help our people achieve their career ambitions. We focus on career progression and foster a promotion from within culture, leveraging global opportunities to ensure we retain our top talent. We encourage continuous learning and development opportunities to develop personal, professional and technical capabilities, and we reward with a comprehensive employee benefits program. We have a vision of the future, where people simply belong. That's why we support and celebrate inclusive causes, not just on days of recognition throughout the year, but every day. We embrace diversity across race, colour, religion, gender, national origin, sexual orientation, gender identity or persons with disabilities or protected veteran status. We ensure DEI is part of our DNA as a global community - it means we go way beyond than just talking about it - we live it. If you want to live it too, join us. INCO: “Cushman & Wakefield”

Job ID: 37116 Location: Chennai, IN Area of interest: Operations Job type: Regular Employee Work style: Office Working Opening date: 18 Aug 2025 Key Responsibilities Strategy Awareness and understanding of the Group’s business strategy Business Manage and/or resolve alerts/cases Follow the Correspondent Banking DOI to process risk events in line with the Assess, Analyse, Act (AAA) process. Processes Manage and/or resolve alerts/cases: Follow the Correspondent Banking DOI to process risk events in line with the Assess, Analyse, Act (AAA) process. People & Talent Promote and embed a culture of openness, trust and risk awareness, where ethical, legal, regulatory and policy compliant conduct is the norm. Risk Management Analyse significant financial crime risk events (e.g. non-compliant transactions, production orders) to ensure that all connected parties, particularly cross-border are identified and reported at the appropriate levels internally across all relevant jurisdictions. Apply Group and FCC policies and processes (AML surveillance, client screening, risk assessment) to manage risks. Governance In the event of serious regulatory breaches, or where risk tolerances have been breached, ensure senior management are informed and that actions are taken quickly to remediate and/or activities are ceased. Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. Key stakeholders FCC Controls representatives in group and country. Other Responsibilities Embed Here for good and Group’s brand and values in India / FCSO / TMCB Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures; Multiple functions (double hats); [List all responsibilities associated with the role] Qualifications 2 to 4 years of relevant work experience in the following areas: AML and terrorist financing surveillance skills in relation the respective country jurisdictions, and client types. Analysis skills: able to analyze data trends and out of pattern activities, working knowledge of Internet and MS Office Suite & independently assimilate, analyse and evaluate information from disperse data sources to determine a course of action (e.g. case closure or escalation), and record and communicate this decision clearly and concisely. Banking: knowledge in terms of customers, products and transactions with expertise in at least one customer segment (retail, corporate, private banking, correspondent banking) Banking operations experience (Client Due Diligence, payments, trade, markets or other) and service oriented attitude. Education-Relevant degree such as bachelor's and master's degree in business, education, statistics, mathematics, economics, finance, computer science, writing, financial services, accounting Training-Mandatory & developmental – role-specific, and regulatory / compliance bank wide & role-specific Licenses-Internal / externally required Membership-Required for roles for continuous development / improvement/ awareness of current practices, etc. Certifications-AML/KYC Languages-Excellent communication in english (articulation and writing). Skills and Experience Compliance Policies and Standards Compliance Advisory Surveillance (including Screening and Monitoring) Investigations Compliance Risk Assessment About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www.sc.com/careers

Job Profile : Senior Data Scientist Location : Bangalore | Karnataka Years of Experience : 5 - 8 years ABOUT THE TEAM & ROLE: Swiggy is India’s leading on-demand delivery platform with a tech-first approach to logistics and a solution-first approach to consumer demands. With a presence in 500+ cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, a 2 lakh+ strong independent fleet of Delivery Executives, we deliver unparalleled convenience driven by continuous innovation. Built on the back of robust ML technology and fueled by terabytes of data processed every day, Swiggy offers a fast, seamless and reliable delivery experience for millions of customers across India. From starting out as a hyperlocal food delivery service in 2014, to becoming India’s leading on-demand convenience platform today, our capabilities result not only in lightning-fast delivery for customers, but also in a productive and fulfilling experience for our employees. What qualities are we looking for? 5–8 years of experience in Machine Learning, Applied Statistics, and Data Science. Strong understanding of model deployment, experimentation, and impact measurement. Hands-on experience with Python, ML frameworks, big data tools, and real-world systems. Passionate about solving complex problems across Ads, Search, logistics, and personalization. What will you get to do here? Formulate and implement innovative solutions to business problems using state of the art Machine Learning/Deep Learning models Leverage Swiggy’s rich data at scale to build deeply personalized recommendation systems Drive high-impact initiatives by closely collaborating with Product, Engineering, and Business teams. Build and scale machine learning models across domains like supply chain, logistics, Ads, Search, and customer experience Leverage our mature ML infrastructure to deploy models and conduct experiments Work with and mentor fellow Data Scientists Experiment, innovate, and deploy cutting-edge ML solutions at scale Contribute and co-own the product roadmap. Visit our tech blogs to learn more about some the challenges we deal with: https://bytes.swiggy.com/improving-search-relevance-in-hyperlocal-food-delivery-using-small-language-models-ecda2acc24e6 https://bytes.swiggy.com/new-user-product-recommendations-for-q-commerce-via-hierarchical-cross-domain-learning-0a7f97b25405 https://bytes.swiggy.com/reflecting-on-a-year-of-generative-ai-at-swiggy-a-brief-review-of-achievements-learnings-and-13a9671dc624 We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability status, or any other characteristic protected by the laws

About Us: Senior Data Scientist – Kotak811 Kotak811 is a Neobank incubated by Kotak Mahindra Bank, with a view of providing completely digitized banking services in the convenience of the customer’s mobile phone. 811 is an early mover in the Indian fintech space that started off as a downloadable savings bank account in 2017, post demonetization, when India took one step closer to a digital economy. The Senior Data Scientist in Bangalore (or Mumbai) will be part of the 811 Data Strategy Group that comprises Data Engineers, Data Scientists and Data Analytics professionals. He/she will be associated with one of the key functional areas such as Product Strategy, Cross Sell, Asset Risk, Fraud Risk, Customer Experience etc. and help build robust and scalable solutions that are deployed for real time or near real time consumption and integrated into our proprietary Customer Data Platform (CDP). This is an exciting opportunity to work on data driven analytical solutions and have a profound influence on the growth trajectory of a super fast evolving digital product. Key Requirements of The Role Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 4 - 8 Years of relevant experience in the space Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development while closely collaborating with engineering, product and business teams Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets Create great data stories with expertise in robust EDA and statistical inference. Experience in Experimentation design a big plus but should understands fundamentals of A/B testing Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch, Caffe is a big plus Experience with analytical programming languages, tools and libraries (Python a must) as well as Shell scripting Very proficient is SQL and other relational databases. Proficient in PySpark. Experience in using NoSQL databases. Candidate who is able to handle unstructured data with ease preferred Experience in working with AWS/Azure/GCP ecosystems. MLOps tools experience a plus Good understanding of programming best practices and building code artifacts for reuse. Should be comfortable with version controlling and collaborate comfortably in tools like git Ability to create frameworks that can perform model RCAs using analytical and interpretability tools. Should be able to peer review model documentations/code bases and find opportunities Experience in end-to-end delivery of AI driven Solutions (Deep learning , traditional data science projects) a big plus Strong communication, partnership and teamwork skills Ability to work in an extremely fast paced environment, meet deadlines, and perform at high standards with limited supervision A self-starter who is looking to build grounds up and contribute to the making of a potential big name in the space Experience in Banking and financial services is a plus. However, sound logical reasoning and first principles problem solving are even more critical A typical day in the life of the job role: 1. As a key partner at the table, attend key meetings with the business team to bring in the data perspective to the discussions 2. Perform comprehensive data explorations around to generate inquisitive insights and scope out the problem 3. Develop simplistic to advanced solutions to address the problem at hand. We believe in making swift (albeit sometimes marginal) impact to business KPIs and hence adopt an MVP approach to solution development 4. Build re-usable code analytical frameworks to address commonly occurring business questions 5. Perform 360-degree customer profiling and opportunity analyses to guide new product strategy. This is a nascent business and hence opportunities to guide business strategy are plenty 6. Guide team members on data science and analytics best practices to help them overcome bottlenecks and challenges 7. The role will be an approximate 60% IC – 40% leading and the ratios can vary basis need and fit 8. Develop Customer-360 Features that will be integrated into the Customer Data Platform (CDP) to enhance the single view of our customer Website: https://www.kotak811.com/

Job ID: 35921 Location: Bangalore, IN Area of interest: Technology Job type: Regular Employee Work style: Office Working Opening date: 1 Aug 2025 Key Responsibilities Strategy Awareness and understanding of business strategy and model appropriate to the role. Business Awareness and understanding of retail business, wider audience, economic and market environment in which the group operates. Processes Awareness and understanding of Agile s/w development process, change and release management. People & Talent Strong development and testing life cycle knowledge Strong sense of responsibility in managing the workload and deliverables. Skill to coordinate with clients and with respect to all the testing. Good project management and communication skills Risk Management Should be able to highlight and escalate risks/impediments to the SM Governance Constant communication and follow-ups with various stake holders to track deliverables during test planning, preparation and execution phases as applicable. Send out daily status report with accurate execution and defect metrics to SM for the agreed cut off time set for the application release/project. Participate in project meetings to provide feedback and statistics of the project in relation to the test quality. Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. Lead to achieve the outcomes set out in the Bank’s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] Serve as a Director of the Board Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent) Qualifications Bachelor’s or master’s degree in computer science, Computer Engineering, or related field Strong understanding of Banking Domain Application, Outbound Testing Strong understanding of RESTful and SOAP APIs. Proficiency in Postman, Rest Assured, SoapUI, or similar API testing tools. Experience with API automation using Java. Familiarity with SQL for database validation. Knowledge of API documentation tools like Swagger. Develop, execute, and maintain test cases for RESTful and SOAP APIs. Identify, log, and track defects, collaborating with developers to resolve issues. Create test plans, test cases, test scripts, and test reports. Expert in APIs security standards by testing authentication, authorization, and data protection. Work closely with developers, business analysts, and QA teams to enhance product quality. Hands on experience in UI automation using selenium. Strong understanding of BDD cucumber frameworks Skills and Experience Rest Assured API Automation, Postman Selenium Cucumber, BDD Java Azure DevOps SQL, Postgres JMeter About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www.sc.com/careers

As one of the world’s leading asset managers, Invesco is dedicated to helping investors worldwide achieve their financial objectives. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, smart colleagues, and a global employer with a social conscience, come explore your potential at Invesco. Make a difference every day! Job Description Your Team The Strategic Analytics team at Invesco Real Estate is recognized for providing forward-looking views on the markets. Our strategy process is integrated into the investment decision making process and supports all parts of the business. Our deep market knowledge is showcased in our chartbooks, which analyses demographic, economic and real estate market data, to produce market rental growth, yield and total return forecasts. Your Role To work with other members of the business on the characterization and analysis of global economies and the forecasting of real estate markets, and support presentations to internal and external clients. Collaborate with the strategy team to support Invesco Real Estate’s transaction, fund, and asset management specialists in producing high-quality research materials. Assist in developing Invesco Real Estate’s forecasting systems, models, and House Views. Develop specialist knowledge on various economies, markets, and sectors, in agreement with regional heads. Gain knowledge of external data providers to maintain the quality and accuracy of the real estate database and build a network of local market experts. Undertake special projects such as gathering information for new investment possibilities, creating market reports, investigating capital flows, transactions, and market pricing. Use statistical analysis methods to identify relationships related to real estate performance, including classification, time series analysis, regression, statistical inference, and validation methods. Utilize spatial GIS analysis techniques to support the evaluation of real estate markets and asset management decisions. The Experience You Bring Should have 2 to 3 years of work experience within a real estate environment or any Investment management industry, ideally within real estate fund management, is required. Conduct in-depth research on real estate markets, including trends, pricing, demand-supply dynamics, and competitor benchmarking. Prepare detailed research reports, dashboards, and presentations for internal stakeholders and clients, highlighting key insights. Handle special research assignments and deep dive’s into Real Estate markets or emerging trends as required. Expertise in data manipulation techniques to handle and process large datasets effectively and Advanced Excel skills for data analysis. Proficiency in web scraping techniques is an asset for this role. Ability to prioritize and collaborate on multiple projects and work independently when required. A proven numerate background and strong computer skills (especially the Microsoft Office suite), knowledge of applied statistics and econometric modelling techniques would be a benefit. Proficiency in Spatial GIS analysis and tools is added advantage. Experience in Data analysis and visualization tools like Power BI/Tableau/R Shiny is an added advantage. Academic Requirements Educated to degree level, or equivalent qualification, in Real Estate, Geography, Economics, (or a similar numerate subject), Data science or job holder can demonstrate equivalent academic caliber. MBA in Real Estate from a reputed University is preferred. Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) No Workplace Model At Invesco, our workplace model supports our culture and meets the needs of our clients while providing flexibility our employees value. As a full-time employee, compliance with the workplace policy means working with your direct manager to create a schedule where you will work in your designated office at least three days a week, with two days working outside an Invesco office. Why Invesco In Invesco, we act with integrity and do meaningful work to create impact for our stakeholders. We believe our culture is stronger when we all feel we belong, and we respect each other’s identities, lives, health, and well-being. We come together to create better solutions for our clients, our business and each other by building on different voices and perspectives. We nurture and encourage each other to ensure our meaningful growth, both personally and professionally. We believe in diverse, inclusive, and supportive workplace where everyone feels equally valued, and this starts at the top with our senior leaders having diversity and inclusion goals. Our global focus on diversity and inclusion has grown exponentially and we encourage connection and community through our many employee-led Business Resource Groups (BRGs). What’s in it for you? As an organization we support personal needs, diverse backgrounds and provide internal networks, as well as opportunities to get involved in the community and in the world. Our benefit policy includes but not limited to: Competitive Compensation Flexible, Hybrid Work 30 days’ Annual Leave + Public Holidays Life Insurance Retirement Planning Group Personal Accident Insurance Medical Insurance for Employee and Family Annual Health Check-up 26 weeks Maternity Leave Paternal Leave Adoption Leave Near site Childcare Facility Employee Assistance Program Study Support Employee Stock Purchase Plan ESG Commitments and Goals Business Resource Groups Career Development Programs Mentoring Programs Invesco Cares Dress for your Day In Invesco, we offer development opportunities that help you thrive as a lifelong learner in a constantly evolving business environment and ensure your constant growth. Our AI enabled learning platform delivers curated content based on your role and interest. We ensure our manager and leaders also have many opportunities to advance their skills and competencies that becomes pivotal in their continuous pursuit of performance excellence. To Know More About Us About Invesco: https://www.invesco.com/corporate/en/home.html About our Culture: https://www.invesco.com/corporate/en/about-us/our-culture.html About our D&I policy: https://www.invesco.com/corporate/en/our-commitments/diversity-and-inclusion.html About our CR program: https://www.invesco.com/corporate/en/our-commitments/corporate-responsibility.html Apply for the role @ Invesco Careers : https://careers.invesco.com/india/

About CloudThat: At CloudThat, we are driven by our mission to empower professionals and businesses to harness the full potential of cloud technologies. As a leader in cloud training and consulting services in India, our core values guide every decision we make and every customer interaction we have. Our culture is built on: Proprietorship Process Thinking Relentless Learning Commitment to Client Innovativeness Proactiveness If these principles resonate with you, we invite you to be a part of our journey. Role Overview: The Sr. Research Associate contributes to the end-to-end solutioning of ML/Data projects. This mid-level role involves shadowing customer discussions, working closely with internal teams, and taking initiative in implementing and enhancing solutions. Key Responsibilities: Participate in customer interactions to understand requirements Implement ML and DA solutions using cloud-native tools Monitor and troubleshoot infrastructure components Collaborate on solution architecture and proof-of-concept development Keep up with latest trends in AI/ML and cloud platforms Skills & Qualifications: Python, SQL, PySpark and Spark Proficient in cloud-based ML/DA on AWS like transformer models, EDA, Statistics concepts, NLP Strong debugging and troubleshooting experience Effective communication and documentation skills AWS Certified - Data and ML Engineer Associate Any Bachelor’s degree Why Work at CloudThat? Work on cutting-edge cloud transformation projects for enterprise clients. Be part of a values-driven organization where Customer Obsession, Ownership, and Trust are central. Enjoy a collaborative, growth-oriented environment where curiosity and innovation are celebrated. Access continuous learning opportunities, mentorship, and sponsored certifications. Contribute to a dynamic company that's thinking big and making a lasting industry impact. Technical Competencies: AWS- DA and ML services or Equivalent tools Monitoring and managing infrastructure Troubleshooting Behavioural Competencies: Analytical Thinking Communication Skills Problem Solving Core Value Competencies: Relentless Learning Proactiveness Commitment to Client Job Type: Full-time Pay: Up to ₹1,100,000.00 per year

DESCRIPTION As a Research Analyst, you'll collaborate with experts to develop advance machine learning solutions for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art ML models. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models. Key job responsibilities Collaborate with Applied Scientists to implement ML/LLM solutions that meet business goals Conduct product pilots demonstrating customer obsession and innovation Develop scalable solutions by writing high-quality code, building ML/LLM models using current research breakthroughs and implementing performance optimization techniques Act as a bridge between science and software teams to deliver optimized solutions Communicate technical concepts to stakeholders at all levels Develop technical documentation for Design specifications, Algorithms, Implementation challenges and Performance metrics Monitor and maintain existing solutions to ensure peak performance About the team The Retail Business Systems (RBS) group is an integral part of Amazon online product lifecycle and buying operations. The team is designed to ensure Amazon remains competitive in the online retail space with the best catalog quality, wide selection, supply chain defects and compliance programs. The team’s primary role is to create and enhance retail selection on the worldwide Amazon online catalog. The tasks handled have a direct impact on customer buying decisions and online user experience. BASIC QUALIFICATIONS Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics) 1+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory Strong analytical thinking Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations. PREFERRED QUALIFICATIONS Master's degree with specialization in ML, NLP or Computer Vision preferred 1+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) - Diverse experience will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in Data science, ML and Statistics Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Job Requirements Develop, optimize, and maintain applications using .NET Core, C#, ASP.NET and Azure functions. Work with development teams and product managers to ideate software solutions Design and manage SQL Server databases, ensuring performance and security Develop cloud-native applications leveraging Azure services such as Azure Functions, App Services, and Azure SQL Build the front-end of applications through appealing visual design Develop and manage well-functioning databases and applications Write effective APIs Test software to ensure responsiveness and efficiency Troubleshoot, debug and upgrade software Write technical documentation Work Experience Proven experience as a Full Stack Developer or similar role Experience developing desktop and mobile applications Familiarity with common stacks Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery) Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js) Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design Excellent communication and teamwork skills Exp: 4 to 6 Years. Degree in Computer Science, Statistics or relevant field

We're in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. SHOULD YOU ACCEPT THIS CHALLENGE... We're looking for a highly analytical and hands-on Data Scientist to drive segmentation, targeting, and next-best-action strategies that power B2B marketing and sales strategies. This role sits at the intersection of data science, marketing, and operation strategy—ideal for someone who thrives in fast-paced environments and is passionate about using data to personalize and scale customer engagement. WHAT YOU'LL NEED TO BRING TO THIS ROLE... Responsibilities Extract, clean, and prepare data from various sources (CRM, Marketo, web analytics, etc.) for analysis. Apply statistical methods—hypothesis testing, correlation, forecasting, regression, sampling, time series analysis —to understand the drivers of marketing performance and improve pipeline efficiency. Implement analytics strategies to understand buyer behaviors, segments, and channels across solutions. Conduct time series or regression analysis to identify trends, and understand seasonality in B2B customer behavior. Map multi-touch customer journeys to identify key behavioral signals that influence engagement, opportunity creation. and conversion Perform causal inference and experiment analysis to assess marketing lift and channel effectiveness. Collaborate with marketing and sales stakeholders to understand their business questions and translate them into analytical frameworks Build dashboards and reports and enable marketing teams with self-serve analytics tools for activation and performance monitoring. Partner with Marketing Operations to embed insights into MAP and CRM workflows. Skills & Qualifications 4+ Years of Experience in Data Science, Marketing Analytics or related fields in B2B A degree in Statistics, Data Science, Economics, Computer Science, Math or a similar domain Experience applying data science best practices to B2B marketing use cases such as lead scoring, propensity models, journey analytics, and account prioritization. Deep understanding of statistical analysis, segmentation techniques, and machine learning (e.g., regression, clustering, classification, uplift modeling). Ability to translate complex analytics into business action across marketing and sales. Comfortable working cross-functionally and presenting insights to non-technical stakeholders. Strong skills in Python (pandas, scikit-learn, seaborn/matplotlib), SQL, Google Sheet and Tableau. Familiarity with CRM/MAP, and Intent platforms (6sense, Bombora etc). Exposure to causal inference, experimentation (A/B testing), or time-to-event modeling. We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Pure's policies, unless you are on PTO, or work travel, or other approved leave. #LI-ONSITE WHAT YOU CAN EXPECT FROM US: Pure Innovation : We celebrate those who think critically, like a challenge and aspire to be trailblazers. Pure Growth : We give you the space and support to grow along with us and to contribute to something meaningful. We have been Named Fortune's Best Large Workplaces in the Bay Area™, Fortune's Best Workplaces for Millennials™ and certified as a Great Place to Work®! Pure Team : We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources and company-sponsored team events. Check out purebenefits.com for more information. ACCOMMODATIONS AND ACCESSIBILITY: Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you're invited to an interview. OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM: We're forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn't just accepted but embraced. That's why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Pure is proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.

DESCRIPTION At Amazon.com, we strive to be Earth’s most customer-centric company. To support this vision, we need exceptionally talented, bright, and driven people. If you would like to help us build the place to find and buy anything online, this is your chance to work hard, have fun, and make history. Key job responsibilities An ideal candidate for this role: Will have relevant experience in data analytics working with large data sets and to extract and transform data using various tools and technologies Will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide Will use data to support ideas, drive actionable outcomes, and provide unique ways to present data and information in an easy to consume format Will be passionate about finding root causes, trends, and patterns and how they impact business. Will draw inferences and conclusions, create dashboards and visualizations of processed data Will have business and communication skills to be able to work with product owners to understand key business questions to build reports that enable product owners to answer those questions quickly and accurately . Will be very comfortable juggling competing priorities and handling ambiguity . Will thrive in an agile and fast-paced environment on highly visible projects and initiatives A day in the life As a Business Analyst, you will help develop an analytic solution to drive deep dives, provide insights into the health and state of the Operations and measure business impact. You will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide. You will own the design, creation, and management of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards to metadata modeling, pipeline monitoring. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and perform data solutions, and gain a deep understanding of key datasets. You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices. You will be responsible to tune query performance against large and complex data sets. You will help translate analytic insights into concrete, actionable recommendations for business or product improvement. About the team Our team strives to make Amazon the best way for Partners to reach customers locally and globally and to operate their businesses, driven by the accurate and efficient support and solutions we provide them. We are looking for a Business Analyst for its TSE (Trustworthy Shopping Experience) Operations Analytics team. The team is being grown to provide insights and provide analytical solutions to help drive operational efficiencies, uncover the hidden risks and trends, reduce investigation errors, improve customer experience and predict & recommend the optimizations for future state. BASIC QUALIFICATIONS 1+ years of tax, finance or a related analytical field experience 2+ years of complex Excel VBA macros writing experience Experience defining requirements and using data and metrics to draw business insights Experience with SQL or ETL Bachelor's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field PREFERRED QUALIFICATIONS Experience using very large datasets Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Conducts shift briefings to ensure hotel activities and operational requirements are known Supervise front office operations during assigned shift including: oMaintenance of guest information oMaintenance of information about local events oCompile occupancy statistics oSupervise the use of public address system oSupervise group bookings oAssisting with serious complaints Supervise cashiering activities during shift including: oCash handling and banking procedure oDealing with irregular payments oInstructing staff in credit policies and facilities oInstructing staff in cash security procedures oCarry out debtor control oPrepare reports oSupervise the cashiering system Build and maintain positive relationships with all internal customers and guests in order to anticipate their needs Take action to address these needs in order to exceed their expectations Create a positive hotel image in every interaction with internal and external customers Adhere to hotel brand standards Maintain a high level of product and service knowledge in order to explain and sell services and facilities to guests Assist guests and escort them to locations within the hotel at their request Maintain knowledge of special programs and events in the hotel in order to recognize and respond to guests needs Maintain current Hotel information to be able to provide information to guests Don't quite meet every single requirement, but still believe you'd be a great fit for the job? We'll never know unless you hit the 'Apply' button. Start your journey with us today.

Front Office Supervisor Hotel Brand: Holiday Inn Express Location: India, Bengaluru Hotel: Bengaluru Bommasandra (BLRBB), Bommasandra Industrial Area, Attibele Hobli, Anekal Taluk, 560099 Job number: 150390 ·Conducts shift briefings to ensure hotel activities and operational requirements are known ·Supervise front office operations during assigned shift including: oMaintenance of guest information oMaintenance of information about local events oCompile occupancy statistics oSupervise the use of public address system oSupervise group bookings oAssisting with serious complaints ·Supervise cashiering activities during shift including: oCash handling and banking procedure oDealing with irregular payments oInstructing staff in credit policies and facilities oInstructing staff in cash security procedures oCarry out debtor control oPrepare reports oSupervise the cashiering system ·Build and maintain positive relationships with all internal customers and guests in order to anticipate their needs ·Take action to address these needs in order to exceed their expectations ·Create a positive hotel image in every interaction with internal and external customers ·Adhere to hotel brand standards ·Maintain a high level of product and service knowledge in order to explain and sell services and facilities to guests ·Assist guests and escort them to locations within the hotel at their request ·Maintain knowledge of special programs and events in the hotel in order to recognize and respond to guests needs ·Maintain current Hotel information to be able to provide information to guests

DESCRIPTION Want to join the Earth’s most customer centric company? Do you like to dive deep to understand problems? Are you someone who likes to challenge Status Quo? Do you strive to excel at goals assigned to you? If yes, we have opportunities for you. Global Operations – Artificial Intelligence (GO-AI) at Amazon is looking to hire candidates who can excel in a fast-paced dynamic environment. Are you somebody that likes to use and analyze big data to drive business decisions? Do you enjoy converting data into insights that will be used to enhance customer decisions worldwide for business leaders? Do you want to be part of the data team which measures the pulse of innovative machine vision-based projects? If your answer is yes, join our team. GO-AI is looking for a motivated individual with strong skills and experience in resource utilization planning, process optimization and execution of scalable and robust operational mechanisms, to join the GO-AI Demand Planning team. In this position you will be responsible for supporting our sites to build complex resource management processes for the rapidly expanding GO-AI business. The role requires the ability to work with a variety of key stakeholders across job functions with multiple sites. The GO-AI Demand planning team is looking for a curious, resourceful, and experienced Demand Planners to join our team of Program Managers and analysts. Our mission is to ensure our customers have the right support at the right time to confidently and effectively grow their business through Amazon. Key job responsibilities Key responsibilities include: 1. Work closely with various stakeholders, including customer, operations and analytics teams to understand the demand patterns for short-term and long-term horizons across GO-AI programs. 2. Develop capacity planning models at multiple levels of aggregation for varied time horizons (short/med/long term) basis various programs demand forecast. Coordinate cross-functional research initiatives to reconcile significant variances, refine the forecast model to reflect updated assumptions and reduce forecast model variance. 3. Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. using automation tools to drive key business decisions. Ensure data accuracy by validating data for new and existing tools. Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use. 4. Promote process improvement and standardization across all sites in the network. Identify, develop, manage, and execute analyses to uncover areas of opportunity, present written business recommendations and drive solutions that will help shape the direction of the business. 5. Proficiency in one or more industry analytics visualization tools (e.g. Excel, Tableau/Quicksight/MicroStrategy/PowerBI) and statistical modeling to deliver actionable insights to stakeholder About the team The Global Operations – Artificial Intelligence (GO-AI) team is an initiative, which remotely handles exceptions in the Amazon Robotic Fulfillment Centers Globally. GO-AI seeks to complement automated vision based decision-making technologies by providing remote human support for the subset of tasks which require higher cognitive ability and cannot be processed through automated decision making with high confidence. This team provides end-to-end solutions through inbuilt competencies of Operations and strong central specialized teams to deliver programs at Amazon scale. BASIC QUALIFICATIONS 3+ years of program or project management experience Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.) Knowledge of SQL PREFERRED QUALIFICATIONS Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field Professional experience of 3 years and above in Data analytics Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Job Title: Data Scientist ML, GenAI & Agentic AI Position Summary We are seeking a Data Scientist with a strong background in enterprise-scale machine learning , deep expertise in LLMs and Generative AI , and a clear understanding of the evolving Agentic AI ecosystem . The ideal candidate has hands-on experience developing predictive models, recommendation systems, and LLM-powered solutions, and is passionate about leveraging cutting-edge AI to solve complex enterprise challenges. This role will involve working closely with product, engineering, and business teams to design, build, and deploy impactful AI solutions that are both technically robust and business-aligned. Key Responsibilities ML & Predictive Systems Development Design, develop, and deploy enterprise-grade machine learning models for recommendations, predictions, and personalization use cases. Work on problems such as churn prediction, intelligent routing, anomaly detection, and behavior modeling. Leverage techniques in supervised, unsupervised, and reinforcement learning as needed based on business context. LLMs & Generative AI Build and fine-tune LLM-based solutions (e.g., GPT, LLaMA, Claude, or open-source models) for tasks such as summarization, semantic search, document understanding, and copilots. Deliver production-ready GenAI projects, applying techniques like RAG (Retrieval-Augmented Generation), prompt engineering, fine-tuning, and vector search (e.g., FAISS, Pinecone, Weaviate). Collaborate with engineering to embed LLM workflows into enterprise applications, ensuring scalability and performance. Agentic AI & Ecosystem Engagement Contribute thought leadership and experimentation around Agentic AI architectures, task orchestration, memory management, tool integration, and decision autonomy. Stay ahead of trends in the open-source and commercial LLM/AI space, including LangChain, AutoGen, DSPy, and ADK-based systems. Develop internal PoCs or evaluate frameworks to assess viability for enterprise use. Collaboration & Delivery Work with cross-functional teams to identify AI opportunities and define technical roadmaps. Translate business needs into data science problems, define success metrics, and communicate results to stakeholders. Ensure model governance, monitoring, and explainability for AI systems in production. Required Qualifications Masters or PhD in Computer Science, Data Science, Statistics, or related field. 58 years of experience in data science and ML, with strong enterprise project delivery experience. Proven success in building and deploying ML models and recommendation systems at scale. 2+ projects delivered involving LLMs and Generative AI, with hands-on experience in one or more of: OpenAI, Hugging Face Transformers, LangChain, Vector DBs, or model fine-tuning. Advanced Python programming skills and experience with ML libraries (e.g., Scikit-learn, XGBoost, PyTorch, TensorFlow). Experience with cloud-based ML/AI platforms (e.g., Vertex AI, AWS SageMaker, Azure ML). Strong understanding of system architecture, APIs, data pipelines, and model integration patterns. Preferred Qualifications Experience with Agentic AI frameworks and orchestration systems (LangChain, AutoGen, ADK, CrewAI). Familiarity with prompt optimization, tool chaining, task planning, and autonomous agents. Working knowledge of MLOps best practices including model versioning, CI/CD for ML, and model monitoring. Strong communication skills and ability to advocate for AI-driven solutions across technical and non-technical teams. Regular follower of AI research, open-source trends, and GenAI product developments.

Job Title: Admission Counselor Location: SSIM Campus Dwarka Delhi/Sector-2 Noida (UP) Job Type: Full-time Department: Admissions/Marketing Reports to: Admission Manager / Director of Admissions Job Summary: We are looking for a dynamic and motivated Admission Counselor to join our team. The ideal candidate will be responsible for guiding prospective students through the admissions process, answering inquiries, conducting interviews, and helping them make informed decisions about their educational goals. The counselor will serve as a key liaison between the institution and potential students, representing the organization with professionalism and integrity. Key Responsibilities: Respond to inquiries from prospective students and parents via phone, email, in-person, or online platforms. Provide detailed and accurate information about programs, courses, tuition fees, scholarships, admissions criteria, and application deadlines. Follow up on leads and applications to ensure successful conversion of inquiries to enrollments. Counsel students on career paths, program selection, and higher education options that align with their goals. Conduct campus tours, virtual counseling sessions, and attend education fairs/seminars/webinars. Maintain and update student records in the CRM/database system. Assist students throughout the application and enrollment process, including document verification, entrance exams and payment processes. Build and maintain strong relationships with students, parents, and consultants. Collaborate with the marketing and outreach team to support promotional campaigns and student recruitment drives. Prepare and present regular reports on enrollment statistics and lead conversion performance. Meet or exceed individual and team admission targets. Qualifications: Bachelor’s degree in Education, Marketing, Communication, or a related field. Master’s also can apply. 1–3 years of experience in admissions, counseling, sales in education field Excellent verbal and written communication skills in English (other regional languages are a plus). Strong interpersonal and persuasive skills. Ability to multitask, prioritize, and manage time effectively. Proficiency in MS Office and CRM tools. Knowledge of the education sector, academic programs, and career guidance. Preferred Attributes: Empathetic and student-centered approach. Goal-oriented with a passion for education and helping students succeed. Flexibility to work evenings and weekends during peak admissions seasons. Strong public speaking and presentation skills. Compensation & Benefits: Competitive salary and performance-based incentives. Opportunities for professional development and training. Dynamic and inclusive work environment. Location: Noida Sector 2 , Block - B- 41, 201301 Near By Metro Station Noida Sector - 15 https://maps.app.goo.gl/awP76bccKrXyyEV29?g_st=ac Job Types: Full-time, Permanent, Fresher Pay: ₹10,000.00 - ₹25,000.00 per month Work Location: In person

We are looking for a qualified and dedicated Account and Statistics Teacher for Gujarati Medium. The candidate should have a strong understanding of the subject, the ability to teach State Board syllabus, and an interest in student growth and development. Responsibilities: Teaching Account and Statistics to higher secondary students (Gujarati Medium) Preparing lesson plans, worksheets, and assessments Guiding students for board exam preparation Maintaining records of student progress Qualifications: B.Com/M.Com or equivalent qualification B.Ed. preferred Experience in teaching Account and Statistics in Gujarati Medium Good communication and classroom management skills Job Types: Full-time, Permanent, Fresher Benefits: Paid sick time Provident Fund

About Navaera Navaera Worldwide is a global, full-service firm specializing in advanced knowledge management products and services designed to empower financial organizations to improve business operations, regulatory compliance, corporate responsibility, risk management, and employee collaboration, ultimately gaining competitive advantages. The privately held company has diverse clients around the world, including major corporations throughout the global financial services sector. Navaera Worldwide has offices located on three continents with global headquarters based in Scottsdale, Arizona, USA.Team Lead – Data Center Engineer Team Lead – Data Center Engineer Navaera is looking for a team lead for its data center engineering team. The team lead data center engineer is responsible for planning, installing, and maintaining fault-tolerant data center infrastructure, including technologies such as Cisco UCS, Nimble Storage, and other technologies. The team lead is also responsible for reviewing daily performance statistics, logs, and vulnerability reports and identifying patches and updates to infrastructure when required. Additionally, the team lead is responsible for ensuring cable, rack, and other diagrams are documented and maintained as per company policy. Responsibilities : Analyzes technology and business needs to make recommendations. Architects systems that are secure, sustainable, and meet the current and future needs of the organization. Solves complex technology problems and acts as escalation for problem troubleshooting. Provides training and guidance on infrastructure solutions and related topics to internal IT staff and end users. Leads and guides projects and initiatives through the implementation lifecycle and aids in support activities; maintains project documentation, timelines, deadlines and reporting Designs, analyzes, maintains, and implements LAN/WAN equipment, network and telephony infrastructure, including maintenance of security measures and solutions. Performs administration on all supported networks, systems, platforms and data storage/SAN. Administers Cisco networking devices including Nexus and Catalyst; Administers Cisco UCS Administers VMWare ESXi Provides the highest level of administration and knowledge on Active Directory, Group Policy, Windows Server, Exchange, Microsoft SQL installation and configuration, as well as PowerShell and like scripting methodologies. Manages and maintains information security and data loss protection systems. Documents physical and logical diagrams of network architecture using tools such as Microsoft Visio. Performs other job-related activities as requested. Qualifications: Minimum 7 years programming experience in data center networking and blade technologies, specifically Cisco UCS, and Cisco Nexus. Minimum 5 years’ experience with data center storage technologies, specifically with Nimble AF and HF arrays; Ability to understand hardening and security requirements; Ability to tune for maximum performance; Ability to write technical documentation; Ability to translate project requirements into detailed system/program requirements, to include providing alternatives, recommendations and assistance to management; Excellent problem-solving skills; Experience with Atlassian BitBucket, Confluence, and JIRA; Experience with Java, and Linux bash shell scripting is a strong plus; Job Type: Full-time Pay: Up to ₹2,000,000.00 per year Benefits: Health insurance Paid time off Provident Fund Application Question(s): How many years of working experience do you have in in data center networking and blade technologies, specifically Cisco UCS, and Cisco Nexus? What is your notice period in Days? Will you be able to reliably commute or relocate to Vadodara, Gujarat for this job? What is your current annual CTC? What is your expected annual CTC?

Respond to inquiries from prospective students and parents through phone, email, or in-person meetings, ensuring prompt and helpful communication. Guide applicants throughout the admission process , from initial contact to final enrollment. Provide clear and accurate information regarding available courses, eligibility criteria, admission procedures, and fee structures. Support the organization of admission events , such as campaigns, open houses, and outreach programs to schools or colleges. Maintain and regularly update student records and admission-related databases for smooth operations. Coordinate with academic departments to schedule and facilitate interviews, entrance tests, or counseling sessions. Follow up consistently with prospective leads to ensure timely updates and increase conversion rates. Prepare necessary reports and documentation , including admission statistics, lead conversion records, and process evaluations. Job Type: Full-time Pay: ₹300,000.00 - ₹400,000.00 per year Benefits: Health insurance Provident Fund Application Question(s): Note: Please dont apply if you dont have experience in sales/admission Counseling/business development. If you dont have experience in any of this mentioned, please don't apply. we are only looking for experienced candidates... Education: Bachelor's (Preferred) Experience: Admission Counselling : 1 year (Required) Language: English (Required) Hindi (Required) Gujarati (Required) Location: Jamnagar, Gujarat (Required) Work Location: In person

Business Analyst / Data Developer What you will do  Work across functions (Marketing, Operations, Production, Finance) to deliver insights that directly impact growth and cost optimization  Develop self-serve, automated analysis by building and maintaining internal tools, dashboards, and APIs used by business teams daily  Work extensively with BigQuery, Flask APIs, Python, and React JS to turn analysis into scalable products  Rapidly prototype and iterate with AI-assisted development to accelerate tool-building and analysis delivery  Build, validate, and maintain forecasting models (including statistical and algorithmic approaches) to improve sales and inventory planning  Identify opportunities for process automation and integrate solutions into our internal systems Who you are  You love working with numbers, but you also enjoy turning analysis into usable products for others  Strong in SQL and comfortable working with large datasets in data warehouses  Experienced in Python for data analysis, automation, or backend development  Exposure to or interest in React/front-end development to make insights accessible in self-serve ways  You’re curious about AI-assisted development and how to use it to speed up workflows  Any knowledge of statistics or forecasting methods is a plus Why you should join  Be part of a data-first organization where analysis directly drives decision-making  Get hands-on with a modern tech stack: BigQuery, Flask, Python, React, AI-driven development tools  Build products that directly influence how teams make decisions across the business  Gain exposure to end-to-end development—from data modeling to API design to front- end tools Job Type: Full-time Pay: ₹25,000.00 - ₹40,000.00 per month Ability to commute/relocate: Lower Parel, Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): What is your current notice period with your employer Experience: Business analysis: 1 year (Preferred) Work Location: In person