19236 Statistics Jobs - Page 6

Job Description This role would directly support the Marketing teams by leveraging tools, technology, & processes to provide data-driven solutions, high-quality dashboards, and ad-hoc insights for decision-making and action, while working with key functions including IT, Finance, Data Office, & Business Units. This individual will play a critical role in developing our foundational datasets and ensuring our data infrastructure supports robust analytical capabilities. The successful candidate must be able to optimally communicate findings to business and technical audiences. In this Role, Your Responsibilities Will Be: Build effective partnerships with key business collaborators across Global Sales & Marketing, Operations, and IT Partner with business leaders and subject matter experts to evaluate, identify, and implement actionable business performance measures Leverage modern tools and cloud infrastructure to develop scalable data sets that meet business/operational reporting and analysis needs Develop optimized insight solutions. Design, develop, and test to ensure all data, reporting, and analytics solutions are accurate Create and maintain dashboards to measure and monitor business performance Perform data engineering tasks on an enterprise data platform environment Write complex queries that profile, clean, extract, transform and merge a variety of data Effectively prepare, document, and communicate insights Be a leader with vision. Proactively propose creative ideas to apply analytics to business problems Who You Are: You ground yourself in data and focus on key metrics. You convert ideas into actions and produce results with new initiatives. You take time to ask questions, define the problem, and make learning a priority and a goal. You make new connections and establish relationships in other areas and teams. For This Role, You Will Need: Bachelor’s Degree in Mathematics, Statistics, MIS, Business, or other relevant fields 2+ years of experience in analytics, reporting, and data transformation High proficiency in business intelligence and visualization tools like Salesforce Analytics (including CRM Analytics), PowerBI, and Tableau Strong SQL skills. Demonstrated knowledge of relational databases Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations Experience using analytics techniques to supply to company growth efforts, increasing revenue and other key business outcomes Ability to establish time estimates, prioritization, and requirements for projects owned Ability to manage own workflow and multiple requests while meeting deadlines as well as responding to frequent demands from multiple collaborators Excellent analytical and problem-solving skills Preferred Qualifications that Set You Apart: CRM Analytics expertise is a huge plus Experience with database and programming tools like Snowflake, DBT, Qubole (Hive/Spark/Presto), Python, R, is a plus Master's Degree in a relevant field. Our Offer To You: We recognize the importance of employee wellbeing and know that to do your best you should have flexible, competitive benefit plans to meet you and your family’s physical, mental, financial, and social needs. We provide a variety of medical insurance plans, with dental and vision coverage. Employee Assistance Program, tuition reimbursement, employee resource groups, recognition, and much more. Our culture prioritizes work-life balance and offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave. At Emerson, we are committed to encouraging a culture where every employee is valued and respected for their outstanding experiences and perspectives. We believe a diverse and inclusive work environment gives to the rich exchange of ideas and diversity of thoughts, that encourage innovation and brings the best solutions to our customers. The philosophy is fundamental to living our company’s values and our responsibility to leave the world in a better place. Learn more about our Culture & Values and about Diversity, Equity, & Inclusion at Emerson.

StackUp Learning Hub is a leading software training academy dedicated to shaping careers in IT through industry-relevant training in Full Stack Development, Python, MERN, MEAN, and Flutter. We are committed to bridging the gap between education and employment by ensuring our students are fully job-ready. Role Overview: We are looking for a dynamic and proactive Placement Officer with prior experience in placement operations to lead our placement initiatives. The role requires frequent travel within Kerala and occasional travel across India to build industry and academic connections, while also training students to become interview-ready through career-focused sessions. Key Responsibilities: Build and maintain strong relationships with employers, industry partners, and alumni to secure placement opportunities. Conduct company visits and follow-up calls to establish tie-ups, MoUs, internships, and placement opportunities. Visit colleges across Kerala to establish MoUs, conduct career sessions, and organize workshops. Organize and manage campus recruitment drives, job fairs, hackathons, industrial visits (IVs), bootcamps , and other placement-related events. Train and mentor students to be interview-ready through sessions on resume building, LinkedIn profile creation, communication skills, personality development, mock interviews, and group discussions. Collaborate with academic teams to ensure student skills align with industry requirements. Maintain accurate and updated records of placement statistics, job opportunities, and market trends. Requirements: Graduate in any discipline (MBA/HR/Marketing preferred). Prior experience in placements, HR, or corporate relations. Strong communication, training, and networking skills . Willingness to travel extensively within Kerala and occasionally outside. Energetic, proactive, and passionate about student success. Job Type: Full-time Pay: ₹11,447.02 - ₹34,595.26 per month Work Location: In person

Job Title Mall Manager - Tech 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 for the Mall. Job Description About the Role: 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. About You  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.  Candidates handled Mall Technical Operations should only apply.  Job Location is Nagpur, local candidate from Nagpur is preferred. Candidates ready to relocate can apply.  Strong written and oral communication skills  High attention to detail and the ability to operate in a fast-paced environment 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. INCO: “Cushman & Wakefield”

A leading US-based company is looking for candidates with strong analytical and English comprehension skills. The ideal candidate should have the ability to read, summarize, and break down large content into smaller logical blocks, conduct research online, validate claims made in the content through online research, and work with the LLM (Large Language Models) to solve puzzles! Your role is critical in helping fine-tune and improve large language models (like gpt), and will make you an expert on how to leverage AI to be a better analyst. This is your chance to future-proof your career in an AI-first world! What Does Day-to-day Look Like : Your role involves analyzing and creating scenarios to improve LLM models. You'll provide correct answers and explanations to help models learn from their mistakes. Here are a few examples: Based on a given distribution of sales by month across locations, could you analyze which location has grown the most? (Hint: what time period should we look at? should we account for sudden variability at the beginning?) In a small town, there are four distinct neighborhoods: Oak, Pine, Maple, and Elm. A postman is assigned to deliver mail and can only deliver to two neighborhoods in one day, with certain rules (e.g. Oak is always visited before Pine). If he delivers to Oak and Elm on the first day, which neighborhoods does the carrier deliver to on the second day? Note: No other prior specialized domain experience is needed. Requirements : English Proficiency: High level of reading and writing comprehension in English. Analytical Skills: Good research and analytical skills. Feedback Skills: Ability to provide constructive feedback and detailed annotations. Creative Thinking: Creative and lateral thinking abilities. Independence: Self-motivated and able to work independently in a remote setting. Commitment: Available for up to 40 hours/week during US business hours. Technical Setup: Desktop/Laptop set up with a good internet connection. Preferred Qualifications : Bachelor's degree in Engineering, Literature, Journalism, Communications, Arts, Statistics, or related field, or equivalent experience in these areas. Professional writing experience in roles such as business analyst, research analyst, copywriter, journalist, technical writer, editor, or translator. Proficiency in Excel and Google Suite. Benefits : Competitive compensation based on experience and expertise. This is a contractual role with flexible working hours and remote work environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Potential for contract extension based on performance and project needs. Application Process : Shortlisted analysts may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.

Good Programming Knowledge - Python, C++ Python Libraries -Numpy, Pandas DL framework - Pytorch, Keras Tensorflow, Scikit Learn AI Concepts - Strong fundamentals & working experience in o Machine Learning (ML) o Deep Learning (DL) o Model Tuning, Optimization & Verification o Transfer Learning Excellent understanding of lower level fundamentals of deep learning models such as layer details, attention, normalization, backpropagation, and optimizers. Tools Git Docker Collaboration tools (Ex. Confluence, Jira) Data analyst & Software Specialist Understand LG device data, pre-sales, post-sales data Derive insights Large Scale Data (Time series) Pre-processing & Analytics (w/ On-premise CPU&GPU server) Statistical Reasoning ML/DL (Fault Diagnosis, Energy), Parameter Tuning and Optimization Domain Specific Strong fundamentals & working experience in Exploratory Data Analysis (EDA) Remaining Useful Life Prediction Anomaly detection Regression problem solving Experience in Cloud Developer toolchains (AWS or MS Azure) Software development kit Data storage options, connections Compute/container deployment Debugging ETL process

Where Data Does More. Join the Snowflake team. The Certification Coordinator is responsible for supporting certification operations and exam development processes. This hands-on, certification coordinator role will work closely with technical experts, other team members, and customers to support the SnowPro Certification program. The Snowflake Education Services team is fanatical about building and certifying technical champions worldwide. We constantly deliver innovative learning and enablement solutions to help individuals excel at their job using the Snowflake data platform. RESPONSBILITIES: Manage Certification global customer support cases in Salesforce and act as the Certification point of contact for escalations. Support all SnowPro customer operations including continuing education, candidate experience and systems, exam security, and voucher distribution. Support SnowPro Subject Matter Expert processes including SME benefits, recruitment, agreements, and documentation. Support SnowPro certification development team and systems. Support the exam publishing and localization process through Pearson Vue. Drive enhancements and operationalization of certification processes. Create and maintain Certification documentation. Ability to operate in a fast-paced environment to ensure that Snowflake Certifications are up-to-date with Snowflake platform releases. REQUIREMENTS: A bachelor’s degree or equivalent work experience in Education, Computer Science, Data Systems, Statistics or a related field 1+ years of experience in IT or technical training or technical writing 2+ years of experience working with customers in a certification development or education support role A demonstrated ability to adapt to new technologies and learn quickly An understanding of the benefits and practices associated with remote and asynchronous work Excellent written and verbal communication skills BONUS IF YOU BRING THESE SKILLS: SnowPro Platform Certified Experience with Pearson Vue’s ExamDeveloper Item Banking Software Experience working with Question & Test Interoperability (QTI) standards Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

A leading US-based company is looking for candidates with strong analytical and English comprehension skills. The ideal candidate should have the ability to read, summarize, and break down large content into smaller logical blocks, conduct research online, validate claims made in the content through online research, and work with the LLM (Large Language Models) to solve puzzles! Your role is critical in helping fine-tune and improve large language models (like gpt), and will make you an expert on how to leverage AI to be a better analyst. This is your chance to future-proof your career in an AI-first world! What Does Day-to-day Look Like : Your role involves analyzing and creating scenarios to improve LLM models. You'll provide correct answers and explanations to help models learn from their mistakes. Here are a few examples: Based on a given distribution of sales by month across locations, could you analyze which location has grown the most? (Hint: what time period should we look at? should we account for sudden variability at the beginning?) In a small town, there are four distinct neighborhoods: Oak, Pine, Maple, and Elm. A postman is assigned to deliver mail and can only deliver to two neighborhoods in one day, with certain rules (e.g. Oak is always visited before Pine). If he delivers to Oak and Elm on the first day, which neighborhoods does the carrier deliver to on the second day? Note: No other prior specialized domain experience is needed. Requirements : English Proficiency: High level of reading and writing comprehension in English. Analytical Skills: Good research and analytical skills. Feedback Skills: Ability to provide constructive feedback and detailed annotations. Creative Thinking: Creative and lateral thinking abilities. Independence: Self-motivated and able to work independently in a remote setting. Commitment: Available for up to 40 hours/week during US business hours. Technical Setup: Desktop/Laptop set up with a good internet connection. Preferred Qualifications : Bachelor's degree in Engineering, Literature, Journalism, Communications, Arts, Statistics, or related field, or equivalent experience in these areas. Professional writing experience in roles such as business analyst, research analyst, copywriter, journalist, technical writer, editor, or translator. Proficiency in Excel and Google Suite. Benefits : Competitive compensation based on experience and expertise. This is a contractual role with flexible working hours and remote work environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Potential for contract extension based on performance and project needs. Application Process : Shortlisted analysts may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.

Lead Data Scientist Location: Pune About Palmonas Palmonas is reimagining everyday jewelry. From demi-fine to lab-grown diamonds and beyond, we are building India’s first scaled omni-channel jewelry brand that blends design, data, and technology to deliver elevated beauty and confidence to women across the globe. Backed by marquee investors and growing rapidly across online, marketplaces, quick commerce, and retail, Palmonas is now building a data-first organization . We are looking for a Data Scientist to join our leadership team and build the data backbone that powers decision-making, personalization, and growth. Why this role is unique You’ll be the first data scientist at Palmonas, setting up the vision, frameworks, and culture for data science. High-impact problems - Work across demand forecasting, pricing optimization, channel economics, personalization, fraud detection, inventory optimization, and customer experience. Leadership track - Build and lead the data science team as we scale. Key Responsibilities Data Strategy & Infrastructure Partner with Founders & leadership to define the company-wide data roadmap. Set up the foundations for data pipelines, warehousing, and analytics in collaboration with engineering. Advanced Analytics & Modeling Build models for inventory optimization, demand forecasting, pricing, personalization, and recommendation engines . Create customer lifetime value (CLV) models, cohort analytics, and churn prediction frameworks. Decision Intelligence Translate business problems (supply chain, marketing, product, retail) into data models. Provide actionable insights to leadership for strategic planning (channel mix, expansion, contribution margin improvement). Experimentation & Causality Design A/B testing and causal inference frameworks to evaluate product, marketing, and pricing decisions. Leadership & Team Building Hire, mentor, and lead the future data science and analytics team. Build cross-functional processes to embed data into every decision. What We’re Looking For Education: Strong academic background in Computer Science, Statistics, Applied Mathematics, Data Science, or related field. Advanced degree preferred. Experience: 5–8+ years of applied data science in high-growth environments (e.g., consumer internet, e-commerce, fintech, retail). Technical Skills: Expertise in Python/R, SQL, ML libraries (scikit-learn, TensorFlow, PyTorch). Strong knowledge of statistical modeling, optimization, time-series forecasting, and recommender systems. Familiarity with modern data stack a plus. Business Acumen: Proven track record of translating business problems into scalable data solutions. Exposure to retail, inventory, or consumer commerce domains is a big plus. Leadership: Demonstrated ability to work cross-functionally and build/lead teams from scratch. Mindset: Entrepreneurial, and impact-driven – excited by the challenge of building India’s first data-first jewelry brand.

Role Purpose The purpose of this role is to increase revenue, maximize process efficiency & cost-effectiveness, and ensure excellent customer experience, through effective supervision of daily operations and personnel, contract compliance, resource optimization and capability development within an account. Do Maximize process efficiency and cost effectiveness through strategic planning, contract compliance and governance mechanisms Strategy Planning with Senior Stakeholders Collaborate with leaders to provide strategic and operational plans associated with the account Plan the strategy for the coming years by identifying new geographies for alternate revenue streams Ensure a deep enough understanding of clients individual experiences to head off potential issues before they become problems Contract compliance & adherence Ensure all SLA parameters are met in the account and maintain a green card at all times Review and drive appropriate actions/ systemic changes on internal and external audit findings to ensure no major non-compliances are cited Monitor and review the account on various delivery parameters to ensure quality delivery as per budget and timelines Delivery governance in the account Understand customer goals and key performance metrics and ensure exceeding those goals throughout the project Ensure a green card for all accounts in terms of performance and quality Monitor and review delivery dashboards/ MIS across accounts to track progress and identify potential red flags Participate and share account performance across operational, quality and fulfillment parameters with internal and external stakeholders Lead and manage project escalations, potential risks or early warning signs on project delivery to eliminate any revenue leakage Ensure regular invoicing as per the contract terms and condition Forecast and track key account metrics Invoicing Timely submission of invoices to the client as defined in the SOW Provide information required and resolve any invoicing issues raised by the client Collect and analyze statistics (costs, customer service metrics etc.) Assume responsibility of budgeting and tracking expenses Ensure outstanding performance against key metrics mentioned in the agreement Regular cadence around contract compliance Evaluate performance with key metrics (accuracy, customer service metrics etc.) Set direction for the team, track progress against targets through regular cadence calls and course correct as require Drive the focus of the team on quality and adherence to contract compliance processes Drive and implement structured cadence around quality, both process and transactional Cadence with delivery lead to ensure margins are met and the account numbers are at par to what is committed Weekly calls with WFM to ensure resource optimization, compliance to the manpower numbers agreed in the contract, future planning in case of ramp ups etc. Resource Allocation & Retention Conduct effective resource planning to maximize the productivity of resources (people, technology etc.) Review and monitor resource planning and fulfillment in line with account requirements and costs of delivery Optimize manpower and minimize leakages by working closely with delivery head Ensure retention by offering relevant trainings and certifications of all allocated resources Lead one-on-one floor connect and other engagement activities to improve stickiness of the delivery team Collaborate and influence internal key stakeholders to manage and resolve issues to ensure fulfillment and flawless delivery of projects Mandatory Skills: Digital Marketing. Experience: 5-8 Years.

About Blenheim Chalcot Blenheim Chalcot is one of the leading venture builders in the world. We have been building exciting and disruptive businesses for over 20 years across sectors including FinTech, EdTech, GovTech, Media, Sport, Charity and more. These companies are all GenAI enabled and are some of the most innovative companies in the UK and increasingly around the world. The BC team in India has been instrumental to the growth and success of Blenheim Chalcot. Established in 2009, Blenheim Chalcot India serves as a pivotal launchpad for those aiming to make a difference in the realm of innovation and entrepreneurship. Blenheim Chalcot India is driven by a mission to empower visionaries to lead, innovate, and build disruptive solutions. We support our diverse portfolio of ventures and create impactful solutions that shape global trends. We provide a range of services to help new business get off the ground, including technology, growth (marketing and sales), talent, HR, finance, legal and tax, plus so much more! One of our MarTech ventures, Fospha, is scaling fast and we’re looking to hire high energy, motivated and curious talent to support them on that journey! About Fospha: Fospha is the marketing measurement platform for eCommerce brands. We have found product/market fit in the last two years and quickly become a market leader for measurement with numerous awards and rocket-ship growth to match. We are the only business of our type to be a certified partner of Meta, TikTok and Snap, and have worked with our customers -some of the best-known eCommerce brands in the world to drive massive growth and value. We are now expanding globally and are looking for excellent candidates to join the next phase of our journey. Key Responsibilities: Implement and maintain ELT (Extract, Load, Transform) processes using scalable data pipelines and data architecture. Collaborate with cross-functional teams to understand data requirements and deliver effective solutions. Ensure data integrity and quality across various data sources. Support data-driven decision-making by providing clean, reliable, and timely data. Define the standards for high-quality data for Data Science and Analytics use-cases and help shape the data roadmap for the domain. Design, develop, and maintain the data models used by ML Engineers, Data Analysts and Data Scientists to access data. Conduct exploratory data analysis to uncover data patterns and trends. Identify opportunities for process improvement and drive continuous improvement in data operations. Stay updated on industry trends, technologies, and best practices in data engineering. About You The ideal candidate will have a track-record in delivering results in a fast-moving business and hence be comfortable with change and uncertainty Required : Excellent knowledge of PostgreSQL and SQL technologies. Fluent in Python. Understanding of data architecture, pipelines and ELT flows/ technology/ methodologies. Understanding of agile methodologies and practices. Preferred : Experience using dbt (Data Build Tool). Experience using pipeline technologies within AWS. Knowledge of data modelling and statistics. Education Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. What We Can Offer You Be part of the World’s Leading Digital Venture Builder Have the opportunity to be a part of and learn from the incredible diverse talent in BC Be exposed to the right mix of challenges, within a culture that promotes continuous learning and development and opportunity to work with Gen AI A fun and open, if a little cricket obsessed, atmosphere – we own the Rajasthan Royals IPL team! 24 days of annual leave, 6 floater leave and 4 public holiday days, maternity and paternity leaves. Private medical for you and your immediate family. Important : At Blenheim Chalcot, we strive to create an environment where differences are not only accepted but greatly valued, where everyone can make the most of their capabilities and potential. We promote meritocracy, competence and the sharing of ideas and opinions. We are driven by data and believe the diversity, agility, generosity, and curiosity of our people is what sets us apart as an organisation. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talent.

JD for Chief Data and Analytics officer Job Title: Chief Data and Analytics officer Location: Navi Mumbai Industry:- Insurance Reports To: EVP & Head Digital & Innovation for alll IT related work and and administrative purpose and dotted line to President business strategy for Business use case and prioritization Experience: Approximately 16+ years in AI, Data Analytics, and Technology Leadership About the Role: As the Head of the AI and Analytics Center of Excellence, you will be a strategic leader responsible for driving the AI and analytics vision, innovation, and operational excellence across the organization. You will lead the development and deployment of advanced data-driven solutions to enhance various Insurance use cases such as Lead propensity, underwriting, claims management, customer experience, risk assessment, and overall business performance. This role requires a seasoned professional with deep technical expertise, strategic thinking, and proven leadership in the BFSI industry. Key Responsibilities: Strategic Leadership: Develop and execute the AI and analytics strategy aligned with the company's overall business goals and digital transformation roadmap. CoE Governance: Establish and oversee the governance, standards, and best practices for AI,ML and analytics projects across the organization. Technology & Innovation: Identify emerging AI/ML technologies, tools, and platforms; pilot innovative solutions to gain competitive advantage. Data, digital architecture and Platform: Own and design the end to end data architecture and platform of the bank to ensure end to end seamless integration from source systems to AI. Champion investment in, implementation and adoption of tools as needed for data driven digital transform ( e.g. CRM and campaign management, Rule engine, journey tracking tools and SDKs etc) BI and integrations: As part of the overall transformation deliver BI solutions and necessary downstream/ upstream integrations. Oversight: Lead and mentor a team of data scientists, data engineers, analytics professionals, and AI specialists to deliver impactful projects. Where needed undertake process redesign and engineering to achieve desired outcomes. Have a small team of process experts to handhold such transformation end to end. Stakeholder Collaboration: Partner with business units to identify opportunities and translate business needs into technical solutions. Data Governance & Quality: Ensure robust data governance, privacy, security, and quality frameworks are in place. Be responsible for elements of regulatory compliance pertaining to reporting and other data centric guidelines like DPDP. Talent Development: Build and nurture high-performing teams; foster continuous learning and skills development. Vendor & Partner Management: Manage relationships with external vendors, research institutions, and technology providers. Regulatory Compliance: Ensure all AI/analytics initiatives comply with industry regulations and ethical standards. Reporting & Communication: Provide regular updates to executive leadership on AI/analytics initiatives, ROI, and strategic insights. Qualifications & Experience: Educational Background: Bachelor’s, Master’s in Computer Science, Data Science, Statistics, Mathematics, or related field. Experience: Minimum of 16 years in AI, Data Analytics, and Digital Transformation, with significant leadership experience in the BFSI sector. Technical Expertise: Deep understanding of machine learning, deep learning, NLP, computer vision, and other AI techniques; proficiency with data platforms (e.g., AWS, GCP), data modelling, and big data technologies. Industry Knowledge: Strong understanding of insurance processes, underwriting, claims management, actuarial models, and regulatory environment. Leadership Skills: Proven track record of leading large, cross-functional teams and managing complex projects. Strategic Thinking: Ability to formulate and communicate a compelling vision for AI/Analytics in a corporate setting. Change Management: Skilled in driving organizational change and fostering a data-driven culture. Certifications (preferred): Relevant certifications such as Certified Analytics Professional (CAP), AWS/GCP certifications, or equivalent. Desired Attributes: Innovative and forward-thinking mindset. Strong problem-solving and critical-thinking capabilities. Excellent communication and stakeholder management skills. Ability to operate effectively at both strategic and tactical levels. Passion for leveraging AI to transform insurance business operations. Interested candidates can share their updated resume :- jeena.sunil@evokehr.com

Job Title: Sub-Editor Gujarati Location: Gujarat Experience: 1-3 Requirement: The Sub-Editor will ensure the accuracy, readability, and adherence to language style sheets of the organization for all news content published on our website. Should possess a strong command of the Gujarati language, attention to detail, and the ability to work efficiently under tight deadlines. Roles and Responsibilities: Editing and Proofreading: Thoroughly edit, translate, and proofread news stories for grammar, spelling, punctuation, and factual accuracy in Gujarati. Style and Tone: Ensure all content conforms to the organization's established house style guide, maintaining consistency in tone and voice. Headline Writing: Craft compelling, informative, and SEO-friendly headlinesthat accurately reflect the content of the article. Fact-Checking: Verify facts, names, dates, and statistics to ensure the accuracy and credibility of news stories. Legal and Ethical Considerations: Maintain awareness of media law, libel, and copyright issues to safeguard the organization against potential legal complications. Time Management: Work efficiently to meet tight deadlines within a fast-paced news environment. Additional Desired Skills: Canva: Knowledge of image/graphic creation, editing, and merging on Canva. SEO Understanding: Familiarity with search engine optimization principles to enhance content visibility. Social Media Skills: Ability to adapt content for social media platforms to increase engagement.

A leading US-based company is looking for candidates with strong analytical and English comprehension skills. The ideal candidate should have the ability to read, summarize, and break down large content into smaller logical blocks, conduct research online, validate claims made in the content through online research, and work with the LLM (Large Language Models) to solve puzzles! Your role is critical in helping fine-tune and improve large language models (like gpt), and will make you an expert on how to leverage AI to be a better analyst. This is your chance to future-proof your career in an AI-first world! What Does Day-to-day Look Like : Your role involves analyzing and creating scenarios to improve LLM models. You'll provide correct answers and explanations to help models learn from their mistakes. Here are a few examples: Based on a given distribution of sales by month across locations, could you analyze which location has grown the most? (Hint: what time period should we look at? should we account for sudden variability at the beginning?) In a small town, there are four distinct neighborhoods: Oak, Pine, Maple, and Elm. A postman is assigned to deliver mail and can only deliver to two neighborhoods in one day, with certain rules (e.g. Oak is always visited before Pine). If he delivers to Oak and Elm on the first day, which neighborhoods does the carrier deliver to on the second day? Note: No other prior specialized domain experience is needed. Requirements : English Proficiency: High level of reading and writing comprehension in English. Analytical Skills: Good research and analytical skills. Feedback Skills: Ability to provide constructive feedback and detailed annotations. Creative Thinking: Creative and lateral thinking abilities. Independence: Self-motivated and able to work independently in a remote setting. Commitment: Available for up to 40 hours/week during US business hours. Technical Setup: Desktop/Laptop set up with a good internet connection. Preferred Qualifications : Bachelor's degree in Engineering, Literature, Journalism, Communications, Arts, Statistics, or related field, or equivalent experience in these areas. Professional writing experience in roles such as business analyst, research analyst, copywriter, journalist, technical writer, editor, or translator. Proficiency in Excel and Google Suite. Benefits : Competitive compensation based on experience and expertise. This is a contractual role with flexible working hours and remote work environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Potential for contract extension based on performance and project needs. Application Process : Shortlisted analysts may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.

Title and Summary Lead, Data Scientist Our Purpose We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team one that makes better decisions, drives innovation and delivers better business results. Job Title: Data Scientist (Credit Risk), Advanced Analytics Job Description Summary Overview Advanced Analytics drives AI-based solutions and products at a globally scalable level across the different customer lifecycle stages, credit risk management and strategic analytics. Our Credit Risk management area serves as a key differentiator to optimize and grow revenue from consumers and small businesses for Mastercard. To this end, developing and manging a suite of product solutions through internal and external partnerships, creative constructs, application of AI-based solutions, solid frameworks and executable roadmaps are crucial drivers for commercialization and business impact. This role is for a Lead Data Scientist that will work across Product, Client Services & Delivery, Data & Engineering and the broader teams, to deliver truly differentiated Credit products, leveraging rich data resources, AI platform capabilities and near real-time execution. The Global Credit Risk Product team is executing on an exciting consumer capability initiative and this role is central in that vision, from concept, technical design to market release and optimization. This role is positioned to drive new ideas forward by combining creative thought leadership with innovation and industry best practices. By entering in the early phase of a truly transformative and impactful strategic initiative, the experience is certain to be rewarding. This role will report into the Vice President of Data Science & AI within Advanced Analytics. The successful candidates primary responsibilities will be to: - Drive the evolution of Advanced Analytics products with an impact focused on data science and engineering - Participate in the exploration, application and development of data science for product development - Participate in identification and evaluation of AI/ML techniques and tools to deliver models and analytics for product development - Continuously innovate and determine new data science approaches & technologies to solve business problems and generate business insights & recommendations - Partner with roles across the organization including product, engineering, and sales to determine the highest priority data science problems to solve in a customer-centric framework - Evaluate trade-offs between many possible analytics solutions to a problem, taking into account performance, usability, technical feasibility, timelines, and differing stakeholder opinions to make a decision - Break large solutions into smaller, releasable milestones to collect data and feedback from product managers, clients and other stakeholders - Evangelize releases to users, incorporating feedback, and tracking usage to inform future development - Work with small, cross-functional teams to define vision, establish team culture and processes - Consistently focus on key drivers of organization value and prioritize operational activities accordingly - Identify and act upon product improvement opportunities - Provide technical leadership of junior colleagues as a senior member of the data science team, through technical and non-technical mentoring This role requires the successful candidate to have the following: - Prior experience in working in a data science product development role - Strong hands-on experience in Advanced Analytics, Machine Learning, Deep Learning, Advanced Statistics etc. - High proficiency in Python, Spark, SQL, R and be able to navigate across multiple languages - Preferably with hands-on experience with Hadoop big data tools (Hive, Impala, Spark) or Databricks - Demonstrated quantitative and problem-solving abilities including application to real business problems - Strong project management skills and ability to meet business deadlines and execution - Motivated, flexible, self-directed, and desire to lead small project teams as applicable - Curiosity, creativity, and excitement for technology and innovation and outside-in perspectives - Ability to multi-task and strong attention to detail including data utilized, methodology, results and validation - Outstanding communication and organizational skills - Masters preferred in Quantitative discipline like Physical Sciences, Mathematics, Statistics, Economics, Engineering etc. - 7-10 years of experience in Data Science function supporting Products

Premium audit, auditor reviews the insurance. Quality and Manager. Coordinate with teams and clients. Good with excel, data driven. P&C Insurance, quality. Six Sigma TMinimum 8 years of total work experience with at least 2 years of relevant in BPO / ITES industry Must have led process improvement / transformation program with significant savings (with at least 3-4 projects led individually) Must have mentored at least 4 – 5 GB / BB projects. Must be a Lean Six Sigma Black Belt – trained / certified. Minimum 1 year in current role / assignment Insurance domain knowledge (premium audit) preferred. Excellent education pedigree Graduate degree is a must, degree in a quantitative discipline is preferable (Engineering, Statistics etc.) MBA preferred but not essential. Exposure to multiple client environments. Experience of packaging and showcasing capabilities and solutions, especially to senior business leaders. Evidence of problem-solving analytical mindset and comfort with business ambiguity. Proficient in creating effective PowerPoint presentations and skilled in Excel. Excellent oral communication and presentation skills. Superior written communication skills

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 23rd August 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 23rd August 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

About Us Mablle is redefining the future of interior design and renovation. We’re building a next-generation rollup company that empowers independent interior design studios to scale faster, operate more profitably, and earn lasting customer trust. Our founding team brings deep operating experience from leading interior design startups. We're at an exciting inflection point and are now looking to sharpen our sales and growth operations to fuel our next phase of traction. Role Overview As the Business & Product Analyst, you will own the end-to-end process of turning business, project, and product data into actionable insights. Your primary focus will be on building robust data management systems, driving performance improvements across the organization, and pioneering the use of AI for smarter, faster decision-making. You’ll be hands-on in experimenting with AI-powered analytics, automation tools, and models to enhance sales, product, and operational efficiency. This is a highly cross-functional role - you’ll collaborate with leadership, sales, product, and operations teams, combining strategic thinking with rapid execution. Key Responsibilities Business Analysis & Insights Build and maintain real-time dashboards and management reports for leadership, highlighting trends, risks, and opportunities. Analyze sales funnels, marketing performance, client demographics, and operational KPIs to drive business growth. Use AI-assisted analytics tools to accelerate insight generation and reduce reporting turnaround time. Product Analytics Track and analyze product usage data to inform feature development, user experience improvements, and product roadmap prioritization. Leverage AI to identify behavioral patterns, predict user churn, and recommend feature enhancements. Design and execute A/B tests to evaluate new product features and business initiatives. Process Optimization Identify bottlenecks in project workflows and deploy AI-driven process automation to improve speed, quality, and scalability. Work with leadership to set, track, and optimize KPIs at the team and company level. Monitor project delivery metrics (TAT, client satisfaction, cost overruns) and use predictive analytics to preempt risks. Data Management Develop and maintain data pipelines and reporting infrastructure using Excel, SQL, Power BI/Tableau, and AI-enhanced ETL tools. Ensure data integrity, accuracy, and compliance with relevant data privacy standards. Evaluate and implement AI-powered data cleaning, enrichment, and anomaly detection tools. Requirements Bachelor’s degree in a quantitative field (Engineering, Economics, Statistics, Mathematics, etc). 5+ years of experience in data analysis, business intelligence, or product analytics. Advanced skills in Excel, SQL, and BI tools (Power BI/Tableau); experience with product/web analytics tools is a plus. Experience with AI/ML tools or platforms (e.g., ChatGPT, DataRobot, Azure ML, or similar) for analytics and automation preferred. Strong understanding of performance management, process optimization, and KPI tracking. Excellent problem-solving skills, attention to detail, and the ability to translate data into clear, actionable recommendations.

PwC US, Risk Analytics Center of Excellence – Job Description Overview PwC is one of the most prestigious professional services firm in the world, serving as the auditor to nearly half of the world’s largest banks. PwC US Risk and Regulatory (R&R) comprises of a highly experienced team of risk management specialists supporting global financial institutions in their risk management initiatives. R&R has significant exposure to, and driver of, industry leading practices and has deep knowledge of regulatory expectations. R&R professional’s experience covers all financial model types, including those used to manage credit risk, market risk, operational risk and compliance risk—as well as those used for financial reporting, valuations and economic capital estimation. Risk Analytics Center of Excellence (CoE), is the India extension of R&R practice and provides key risk analytics services to global banks, investment firms, and asset management entities. It comprises of risk analytics professionals with stellar quantitative pedigree from premier institutions, industry certifications in CFA, FRM, PRM etc. and proven professional credentials in risk modeling and analytics at reputed financial institutions and consulting firms. As an integral part of PwC US R&R, Risk Analytics CoE drives risk analytics engagements, opportunity pursuits and cutting edge innovation using data science, Artificial Intelligence, Machine Learning and Deep Learning. Market and Counterparty Risk Analytics Professional Job Specification: Candidate would be responsible for developing, validating, auditing market risk valuations/models and counterpart credit risk models for trading, investment and corporate portfolios of global financial institutions. Candidates would be expected to support financial institutions on meeting jurisdictional regulatory requirements and their broader risk management initiatives. Experience level 2-12 years of experience; Location: Bangalore Core Skill Requirements Candidate must have relevant experience in in statistical / mathematical modeling, quantitative research, counterparty and market risk management, or related field at a reputed bank, investment or broker services, asset management firm or a consulting firm. Wider skill requirements include: Independently built and managed quantitative market and counterparty risk analytical models Strong experience/knowledge in at least some of the following areas (in quant space) o Counterparty Credit Risk (PFE, CVA, XVA) o Pricing and valuation - Derivatives (across one or more asset classes) o Modeling of Risk Metrics (e.g, EPE, PFE, RWA, Greeks) o Market Risk Scenarios and Stress Testing o Development, prototyping and back-testing of Monte Carlo Credit Exposure Models o Incremental default risk, specific risk charge and stressed VaR o Worked on multiple Market Risk Models like to develop/review calculation of VaR(Historical, Parametric and Monte Carlo), RNiV, CCAR, IRC Model Validation/ development and present value for various type of instruments using any statistical tool Strong experience/knowledge in at least some of the following areas (business knowledge) o Good knowledge of market risk concepts: Risk Factor, VAR, Earning at Risk, cash flow at risk, ETL, PV01, Independent Validation, Exotic derivatives, FX, Interest rate derivatives, volatility, commodities, credit derivatives, Fixed income, Hull & White, Monte Carlo simulation, Capital calculations o Knowledge and experience with counterparty risk concepts (PFE,SA-CCR, EPE etc o Leveraging experiential know-how of a wide range of financial products like Equity, Derivative, Swaps, IR, Credit derivatives, OTC products, Swaps, Securitization, CDO's etc. o Knowledge of one or more of global regulatory Topics BASEL II/III, IFRS 9, CCAR/DFAST, CECL, FRTB, SR-11/7 around data sufficiency, modeling methods, industry standards etc. Assisted clients to design and implement strategic and functional changes across risk management, treasury, front office, middle office, and back office activities with a focus on risk and valuation processes, regulatory compliance, analytics, strategy, and organizational structure. Programming and Algorithms: R, Python, SAS, Matlab, Scala, VBA etc. Experience with with Murex, QRM, Reuters, FINCAD, Bloomberg and Algo is a plus Non-functional skill requirements: In order to succeed in PwC Risk CoE, it is desirable for candidates to possess: Understanding of market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business Excellent oral and written communication skills Solid analytical and problem-solving skills; ability to isolate and solve issues using large amounts of data Process orientation with strong technical skills and attention to detail Deep technical capabilities and industry knowledge of financial products Willingness to travel to meet client needs, as needed Educational Background: Desired candidate must have a master’s degree or higher in a quantitative discipline such as Economics, Statistics, Mathematics, Operation Research, Econometrics, Data Science, Finance, Engineering + MBA; advanced degree is a plus; Industry relevant certifications in CQF, FRM, CFA, CPA certification is a plus Additional Requirement for Senior Positions: Candidates aspirant of senior positions at PwC Risk CoE are expected to possess: Proven consulting skills to structure vague problems at hand and conceptualizing solutions Credentials in leading and driving large and or complex risk analytics engagements and initiatives independently Experience in supporting sales pursuits for risk analytics offerings and solutions Ability to manage multiple engagements simultaneously along with leading people and initiatives Strong conceptual understanding of various functional/technical skills Ability to drive innovation and thought leadership in the risk management domain Intellectual property, patents and exclusive rights on any innovative solution is a plus

India is among the top ten priority markets for General Mills, and hosts our Global Shared Services Centre. This is the Global Shared Services arm of General Mills Inc., which supports its operations worldwide. With over 1,300 employees in Mumbai, the center has capabilities in the areas of Supply Chain, Finance, HR, Digital and Technology, Sales Capabilities, Consumer Insights, ITQ (R&D & Quality), and Enterprise Business Services. Learning and capacity-building is a key ingredient of our success. Position Title Analyst II Function/Group Sales & Commercial Capabilities Location India Shift Timing 11am to 8pm Role Reports to Assistant Manager Remote/Hybrid/in-Office Hybrid About General Mills We make food the world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-Dazs, we’ve been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell. How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out http://www.generalmills.com General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people. With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC) , Digital & Technology (D&T) Innovation, Technology & Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy & Intelligence (SSI) , Global Shared Services (GSS) , Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check out https://www.generalmills.co.in We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow. Job Overview Function Overview GIC Sales Strategy & Intelligence team partners with our global General Mills sales teams in providing them with analytical horsepower and enable business continuity so they can focus on core activities – Selling, driving distribution gains and optimizing merchandising plans to deliver sales volume targets. We enable customer, pricing & promotion strategies across the global markets through our focused capabilities of Sales Execution, Trade & Strategic Revenue Management and Category Management. Teams within function are aligned to the above focused capabilities for each of our markets and each team member specializes in domains of Advanced Analytics, Visual Insights & Planogramming. We are a family of Data analysts, Business analysts and Sr. Analysts with diverse opinions, cultures and passions and are united by our desire to serve the world by making food people love. We apply the principles of analytics to everything we do, constantly experimenting to discover new ways to add value to our stakeholders, customers and team members. For more details about the Function please visit this Link Purpose of the role The role will be responsible for partnering with the Category Management Teams in US markets. The ideal candidate will have a proven analytical track record with experience leveraging data to influence decision-making. Experience with customer databases, advanced Excel tools, and PowerPoint is a requirement. The team members will independently build a seamless rapport with the point of contact overseas, address and initiate business requests, establish solutions through sophisticated reporting/tool building and superior presentations/visuals. The work will be sent with actionable analysis that showcases depth & breadth of business acumen. The role includes capability development, enabling assortment optimization strategies, competitive intelligence, recommending distribution & shelving scenarios via various data modelling & analytical techniques either independently or through collaboration of cross-team peers. Key Accountabilities Business Analysis & Capability Development (70% of time) Master and own deliverables in the form of reports & presentations and send quality output in a timely manner with upgrades Design superlative templates, Develop and execute dashboards/ tools in a turn-key scalable format Own development of best-in-class reports, tools and customized shelving/assortment plans while finding synergies and avoiding redundancy Provide insights around category & specific consumer behavior derived from Panel/POS/Syndicated data sources. Respond to questions about data and deliver response in user friendly, visually represented format. Demonstrate an analytical bend of mind in all tasks/projects/collaborations Distill actionable insights from the data to offer client ready business recommendations by identifying meaningful customer indicators & trends Actively builds & proliferates category management knowledge & principles Confidently present category and trade dynamics to stakeholders and rationalize techniques and model fit Showcase thought leadership; look for ways to integrate better business solutions Anticipating customer needs based on business trends and previous projects Continuous Improvement mindset to deliver Executional Excellence, and Project Management (20% of time) Ensure TAT is upheld via awareness on process requirements, meeting benchmark time estimates and through articulate expectation settings with the stakeholder Guarantee data quality and accuracy through thorough comprehension of request, accurate application of tools/platforms with an eye for detail and a robust data & logic check Eliminate Waste, Contribute to the Functional Productivity Goals CI Mindset: develop and drive a lens of continuous improvement for the projects, process & larger team Project Management: Juggle multiple projects incld. long range projects and own project scoping, to trouble shooting, collaborating, to timely communication/iterations with peers and stakeholders to high impact completion and presentation Mentoring & Training new hires and analysts to excel in their roles and outperform expectations Building Stakeholder Relationships (10% of time) Brand themselves as a SME on multiple fronts Understand client needs/ customer request and see the larger picture to enable holistic solutions Ability to recommend and influence changes to process/procedures Explore business development opportunities and transform into tangible results Ability to communicate challenges in an assertive manner Work through people and processes to accomplish superlative results Articulate and comprehensive presentations to the audience Minimum Qualifications Education – Full time graduation from an accredited university Minimum Degree Requirements: Bachelors 3 to 4 years of relevant Business Reporting or Analytics experience in CPG (or related) industry. BI Tool Expertise: Advanced Excel, Tableau & SQL Preferred Qualifications Preferred Degree Requirements: Masters Preferred Major Area of Study: Business Management, Statistics, Marketing, Retail or Economics Preferred years of related experience: 5 - 6 years of relevant Business Reporting and/or Analytics experience Company Overview We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.

This job is with Standard Chartered Bank, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. 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) Qualifications 4 to 6 years of relevant work experience in the following areas: Direct experience in Financial Crime Compliance, Risk Assessment or Quality Assurance in Financial Services, Banking or Regulatory environment Create and deliver presentations to senior management and the regulators Interpret complex requirements and be a self-starter A minimal of four years experience in Anti Money Laundering industry Strong working experience in any AML Behavioral Detection platforms (Mantas, etc)Strong understanding of AML Scenario logic and industry standardsContributing to the firm's talent agenda and helping to create a more inclusive culture Compliance experience as a practitioner and/or Financial Crime compliance qualifications 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.

TransUnion's Job Applicant Privacy Notice What We'll Bring As a senior analyst on our team, you will join a global group of statisticians, data scientists, and industry experts on a mission to extract insights from data and put them to good use. You will have an opportunity to be a part of a variety of analytical projects in a collaborative environment and be recognized for the work you deliver. TransUnion offers a culture of lifelong learning and as an analyst here, your growth potential is limitless. The senior analyst role within the Research and Consulting team is responsible for delivering market-level business intelligence both to TransUnion’s senior management and to Financial Services customers. You will work on projects across international markets, including Canada, Hong Kong, UK, South Africa, Philippines, and Colombia. To be successful in this position, you must have good organizational skills, a strategic mindset, and a flexible predisposition. You will also be expected to become more independent over time and able to lead and present projects with minimal supervision. What You'll Bring How You’ll Contribute: You will develop a strong understanding of consumer credit data and how it applies to industry trends and research across different international markets You will dig in by extracting data and performing segmentation and statistical analyses on large population datasets (using languages such as R, SQL, and Python on Linux and PC computing platforms) You will conduct analyses and quantitative research studies designed to understand complex industry trends and dynamics, leveraging a variety of statistical techniques You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers at various levels including an executive audience; you may lead key presentations to clients You will perform multiple tasks simultaneously and deal with changing requirements and deadlines You will develop strong consulting skills to be able to help external customers by understanding their business needs and aligning them with TransUnion’s product offerings and capabilities You will help to cultivate an environment that promotes excellence, innovation, and a collegial spirit Through all these efforts, you will be a key contributor to driving the perception of TransUnion as an authority on lending dynamics and a worthwhile, trusted partner to our clients and prospects Impact You'll Make What You’ll Bring: A Bachelor’s or Master’s degree in Statistics, Applied Mathematics, Operations Research, Economics, or an equivalent discipline Advanced proficiency with one or more statistical programming languages such as R Advanced proficiency writing SQL queries for data extraction Experience with big data platforms (e.g. Apache Hadoop, Apache Spark) preferred Advanced experience with the MS Office suite, particularly Word, Excel, and PowerPoint Strong time management skills with the ability to prioritize and contribute to multiple assignments simultaneously Excellent verbal and written communication skills. You must be able to clearly articulate ideas to both technical and non-technical audiences Highly analytical mindset with the curiosity to dig deeper into data, trends, and consumer behavior, as well as an acute attention to detail A strong interest in the areas of banking, consumer lending, and finance is paramount, with a curiosity as to why consumers act the way they do with their credit Strong work ethic with the passion for team success This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Sr Analyst, Research & Consulting

TransUnion's Job Applicant Privacy Notice What We'll Bring TransUnion is a global information and insights company that makes trust possible in the modern economy. We do this by providing a comprehensive picture of each person so they can be reliably and safely represented in the marketplace. As a result, businesses and consumers can transact with confidence and achieve great things. We call this Information for Good.® A leading presence in more than 30 countries across five continents, TransUnion provides solutions that help create economic opportunity, great experiences and personal empowerment for hundreds of millions of people. What You'll Bring As consultant on our team, you will join a global group of statisticians, data scientists, and industry experts on a mission to extract insights from data and put them to good use. You will have an opportunity to be a part of a variety of analytical projects in a collaborative environment and be recognized for the work you deliver. TransUnion offers a culture of lifelong learning and as an associate here, your growth potential is limitless. The consultant role within the Research and Consulting team is responsible for delivering market-level business intelligence both to TransUnion’s senior management and to Financial Services customers. You will work on projects across international markets, including Canada, Hong Kong, UK, South Africa, Philippines, and Colombia. To be successful in this position, you must have good organizational skills, a strategic mindset, and a flexible predisposition. You will also be expected to operate independently and able to lead and present projects with minimal supervision. How You’ll Contribute You will develop a strong understanding of consumer credit data and how it applies to industry trends and research across different international markets You will dig in by extracting data and performing segmentation and statistical analyses on large population datasets (using languages such as R, SQL, and Python on Linux and PC computing platforms) You will conduct analyses and quantitative research studies designed to understand complex industry trends and dynamics, leveraging a variety of statistical techniques You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers at various levels including an executive audience; you may lead key presentations to clients You will perform multiple tasks simultaneously and deal with changing requirements and deadlines You will develop strong consulting skills to be able to help external customers by understanding their business needs and aligning them with TransUnion’s product offerings and capabilities You will help to cultivate an environment that promotes excellence, innovation, and a collegial spirit Through all these efforts, you will be a key contributor to driving the perception of TransUnion as an authority on lending dynamics and a worthwhile, trusted partner to our clients and prospects Impact You'll Make What you'll bring: A Bachelor’s or Master’s degree in Statistics, Applied Mathematics, Operations Research, Economics, or an equivalent discipline Minimum 3-5 years of experience in a relevant field, such as data analytics, lending, or risk strategy Advanced proficiency with one or more statistical programming languages such as R Advanced proficiency writing SQL queries for data extraction Experience with big data platforms (e.g. Apache Hadoop, Apache Spark) preferred Advanced experience with the MS Office suite, particularly Word, Excel, and PowerPoint Strong time management skills with the ability to prioritize and contribute to multiple assignments simultaneously Excellent verbal and written communication skills. You must be able to clearly articulate ideas to both technical and non-technical audiences Highly analytical mindset with the curiosity to dig deeper into data, trends, and consumer behavior A strong interest in the areas of banking, consumer lending, and finance is paramount, with a curiosity as to why consumers act the way they do with their credit Strong work ethic with the passion for team success This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Sr Consultant, Data Analysis and Consulting

Location: Work From Home Duration: 3 Months Internship Eligibility: All Stipend: Unpaid Roles and responsibilities of the Intern: 1. Market Research: Conduct thorough market research to understand industry trends, consumer behavior, and cmpetitor activities. 2. Article Writing: To conduct research in diverse fields related to topics such as marketing, finance, and statistics, and write SEO-optimized articles and blogs. 3. Promotional Work: To do promotional work using social media using Social Media. 4. Data Analysis: Analyze and interpret data to identify patterns and opportunities that will inform our promotional initiatives. 5. Target Audience Analysis: Collaborate with the marketing team to define and refine target audience profiles for tailored promotions. 6. Promotional Content Creation: Assist in the creation of engaging promotional content for various platforms, including social media, emails, and websites. 7. To engage in group activities. 8. To get engaged in many opportunities provided by EvePaper. Skills Required: 1. Good communication skills 2. Excellent networking skills. 3. Active on social media 4. Diligence Perks and Incentives: 1. Offer Letter 2. Letter of Appointment 3. Certificate of Completion 4. Letter of Recommendation (Based on Performance) 5. Gain practical experience in market research and promotions, valuable for future marketing careers. 6. Work closely with a supportive and dynamic marketing team. 7. Receive mentorship and professional development opportunities. 8. Enhance your analytical and communication skills.

Position Summary: We are seeking a seasoned leader to head the Analytics Centre of Excellence (COE), driving enterprise-wide data strategy, advanced analytics, and measurable client/business outcomes. This role combines engagement leadership, delivery oversight, and strategic account management, ensuring value creation across various domains. The position requires a blend of analytics expertise, financial acumen, and stakeholder management skills, with a proven ability to lead large-scale teams, manage P&L, and deliver high-impact solutions in a matrixed global environment. Key Responsibilities Strategic Leadership & Analytics Delivery Define and execute the enterprise-wide analytics strategy, aligned with business and client objectives. Translate complex business challenges into data-driven, actionable insights supporting digital transformation, fraud detection, and risk management. Drive the adoption and continuous improvement of analytics platforms (Power BI, Tableau, Looker) and advanced data models. Ensure strong data governance, quality, and security standards across the COE. Account Leadership & Business Impact Hold P&L ownership for key banking and enterprise accounts, delivering measurable ROI (3x+). Collaborate with CXO-level stakeholders globally to identify analytics opportunities and deliver high-impact insights. Develop and roll out go-to-market analytics offerings, proposals, and accelerators tailored to client needs. Enable outcome-based delivery models that align with regulatory and market trends in banking and payments. Operational Excellence & Governance Establish and oversee governance frameworks and operational controls for scalable, high-quality delivery. Manage analytics budgets, including cost allocation of resources across business units. Provide senior leadership with regular performance reporting highlighting analytics impact, ROI, and strategic value. Team Leadership & Talent Development Build, mentor, and lead high-performing global analytics and delivery teams. Foster a culture of innovation, continuous learning, and accountability within the COE. Improve employee engagement (ESAT) and reduce attrition through targeted talent programs and mentorship. Communication & Influence Simplify complex data into executive-ready dashboards and stories that enable strategic decision-making. Chair executive-level governance forums and cross-functional collaboration initiatives. Act as a trusted advisor to clients and internal stakeholders, influencing strategy through analytics. Required Skills and qualifications: Bachelor’s degree in Analytics, Statistics, Data Science, Engineering, Business, or related field; Master’s/MBA preferred. 8+ years of analytics leadership experience, with proven success managing global teams and COE/shared services functions. Proven track record of P&L ownership, account leadership, and measurable client value delivery. Strong proficiency in SQL, BI tools (Power BI, Tableau, Looker), and analytics frameworks. Demonstrated success in budgeting, financial management, and resource allocation. Recognized strength in stakeholder management, executive communication, and change leadership. Excellent analytical and strategic thinking skills. Outstanding communication and stakeholder management abilities. Proficiency in SQL, data visualization, and analytics frameworks. Core Competencies Strategic Thinking & Commercial Acumen Data, Risk & Compliance Analytics Multiple Domain Expertise Client Relationship & Stakeholder Management Agile Program & Change Management Team Leadership & Talent Development Compliance, Governance & Delivery Excellence