19236 Statistics Jobs - Page 5

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.

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.

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.

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.

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.

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.

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.

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.

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.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Strategy and Transactions (SaT) – VME Associate Director As part of our EY-Valuation, Modelling and Economics team, you will help clients understand the value of their business, securities, intellectual property, capital equipment, intangibles and other assets. The group is comprised of several key areas, including business valuation, business modelling, capital equipment and complex securities. The opportunity We’re looking for Associate Director with expertise in Business Modelling to join EY-VME (Valuation, Modelling and Economics) . Over the past decade, financial modelling in the corporate finance space has continued to grow at a healthy space. However, in the digital era, with the advent cloud technologies, clients often require assistance far beyond financial modelling and that has led to a tremendous growth of decision support modelling services across the industry. This is a fantastic opportunity to be part of a leading firm and develop your career through a broad scope of engagements, mentoring, and learning & development. Specifically, you will be a part of the team that helps clients with review and build of financial models for financial reporting, tax and regulatory compliance, transaction support and corporate strategy whilst incorporating sophisticated techniques to model data to assist clients in making better and quicker decisions. Your Key Responsibilities Manage multiple client engagement teams, taking a lead role in understanding clients’ needs, conducting analyses and reporting results Build, manage and lead teams on corporate finance and decision modeling related topics Build internal and external branding for the teams in terms of thought leadership, leading client pursuits and ensure quality client deliverables Lead teams in developing models to build /review variety of financial models apart from using techniques like advanced statistics, AI/ML algorithms and advanced data modelling to build decision support tools Challenge yourself to continually learn and teach, mentoring others while developing your own career Take ownership of your projects, while working collaboratively with other team members Maintain and develop positive, productive, and professional relationships with clients and winning repeat business Skills And Attributes For Success Experienced in reviewing/building complex financial models based in MS Excel/VBA Experienced in building tools to analyse/process data using technologies like R/Python, MS Azure Understanding of advanced statistics, AI/ML algorithms and related applications in the data modelling is preferred Excellent analytical, project-management, communication, interpersonal, and teaming skills The ability to work within a given budget and schedule, providing top-quality results in a fast-paced, dynamic environment Experience in analyzing complex business situations from a capital allocation / diagnostics lens and providing state of the art solutions to clients To qualify for the role, you must have An advanced degree (masters or Ph.D.) in a quantitative discipline, with demonstrated aptitude in quantitative and qualitative analysis, or equivalent experience A minimum of 12-15 years of relevant experience with a national valuation firm or accounting firm’s valuation practice, or in quantitative management or litigation consulting, investment banking, private equity/venture capital or commercial banking Achievement of or significant progress towards a CFA, FRM, PRM or PMP designation is a plus, with an expectation of the completion of one designation within a given timeframe Ideally, you’ll also have An advanced degree (masters or Ph.D.) in a quantitative discipline, with demonstrated aptitude in quantitative and qualitative analysis of financial instruments, or equivalent experience Excellent analytical, project-management, communication, interpersonal, and teaming skills The ability to work within a given budget and schedule, providing top-quality results in a fast-paced, dynamic environment Should have developed / reviewed models in Excel/VBA, R, Python, MS Azure related technologies Achievement of or significant progress towards a CFA, FRM, PRM or PMP designation is a plus, with an expectation of the completion of one designation within a given timeframe The successful candidate must be committed to staying at the cutting edge of both, latest derivative valuation techniques and the financial and accounting standards that guide the use of these techniques. What We At GDS SaT Offer A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 3500 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Job Description ABOUT THIS JOB With best-in-class research and predictive analytical tools, the Forecasting & Activation team accurately plans and predicts sales, helping clients maximize their ROI for the new product launch. In the Forecasting & Activation team, you will work with global Brands and see your work come to life. Be curious. Be collaborative. Be forward-thinking. Join the team and work as a consultant, a problem solver, and the mind behind in-market successes. ARC Forecasting & Activation Senior Manager will be responsible for building the forecasting capabilities in the team. He will also act as the first-level reviewer wherever required and provide feedback to adjust the volume projections. This specific role is aligned with the North America team; we are looking for people comfortable with 2PM – 11PM shift timing. Team size : Managing a team size of 10-15 associates Key Responsibilities Building Forecasting Capabilities Create technical training and developmental plans to grow a large class of new hires into independent forecasting analysts Provide support across the entire team as an experienced F&A resource, providing review help, perspective on modelling decisions, and help in navigating and analysing in-market data Forecast Expertise Demonstrate mastery in executing volumetric analyses using Nielsen’s proprietary forecasting models and tools, interpreting secondary data, and adjusting model outputs appropriately Develop deep forecasting knowledge and apply it across a variety of regions, clients and categories Serve as first-level reviewer to review the volume model, provide feedback to further adjust the model and the volume projection before the onshore review Implements forecasting strategy as defined by the Forecast Director and VP, including integrated data and tools and category/industry-specific playbooks Demonstrates mastery and ability to improve “outside the model” forecasting tools (i.e. Trial sizes, physician recommendations, SKU loss, etc.) Team Management & Leadership Monitor analyst progress periodically and report to multiple stakeholders, including the ARC Leaders and US COE leadership Develop a talent pool by accelerating high performers and doing timely interventions on lower performers Coach and provide support to a new cohort of people managers to develop reviewing and talent management skills Drive staffing decisions, including team structure and analyst-client alignments Understand performance across the whole team, providing key input into promotion and salary increases (with consultation from ARC Leaders) Relationship Building Manage relationships with multiple leadership stakeholders – Talent management with ARC Leaders and performance management with US leaders Take ownership of the overall success of Forecasting & Activation analytical centre by improving the quality of client deliverables Build strong relationships with each US-based COE manager to ensure that their teams are performing up to expectations About You You have a passion for working with numbers and have a great knack for reading and converting those numbers into useful information. You have a coaching mindset to grow individuals in the team. You have great communication skills to present your ideas and strategies to the US stakeholders Qualifications Minimum 8 years of experience in Quantitative research and People management in Market research industry Strong preference for experience with simulated sales forecasting modelling (BASES Specific) Track record of managerial experience with direct analytical reports General knowledge of statistics, research techniques, and experimental procedures; strong preference for experience with BASES Analytics services, tools and techniques, including forecasting models Analysing and navigating in-market data from multiple sources, including familiarity with Discover and other sources of secondary data from other NielsenIQ verticals Understanding of client proposals, study designs, questionnaires, coding, and data preparation Experience of working with remote clients and teams Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

Job Description Job Summary We are looking for a Workforce Analytics Manager with a strong foundation in data analytics and a passion for building intelligent, AI-powered solutions. This role is ideal for someone who thrives at the intersection of data science, product thinking, and stakeholder engagement. You will play a key role in designing and deploying Agentic AI-driven products that optimize workforce performance and decision-making. This is an Individual Contributor (IC) role with high visibility and strategic impact. Key Responsibilities Agentic AI Product Development: Leverage Agentic AI frameworks to build intelligent, autonomous systems that support workforce planning, forecasting, and optimization Advanced Data Analytics: Analyze complex datasets using tools like SQL, Python, and Power BI to uncover trends, inefficiencies, and opportunities Visualization & Storytelling: Create compelling dashboards and visual narratives that translate data into clear, actionable insights for senior leadership Stakeholder Engagement: Collaborate with senior global stakeholders to understand business needs, present insights, and influence strategic decisions Tool Integration: Work with workforce management platforms such as Kronos, Saviom, and Replicon to extract and analyze operational data Exploratory Data Analysis (EDA): Conduct deep-dive analyses to identify patterns, anomalies, and areas for improvement Process Optimization: Recommend and implement data-driven improvements to workforce processes, leveraging automation where applicable Qualifications 5+ years of experience in data analytics, preferably in workforce optimization or operations Proven experience in building or contributing to Agentic AI or intelligent automation solutions Strong command of: SQL and Python (Pandas, NumPy) Power BI or similar visualization tools Statistical analysis and hypothesis testing Expertise in data storytelling—translating complex data into business-friendly insights Excellent communication and stakeholder management skills, especially with senior leadership Experience working with workforce tools like Kronos, Saviom, or Replicon Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field (Master’s preferred) Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

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.

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.

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.

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.

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.

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.

Role : Artificial Intelligence Governance Expert Location : Hyderabad Grade : L3-1 Opella is the self-care challenger with the purest and third-largest portfolio in the Over-The-Counter (OTC) & Vitamins, Minerals & Supplements (VMS) market globally . Our mission is to bring health in people’s hands by making self-care as simple as it should be . For half a billion consumers worldwide – and counting. At the core of this mission is our 100 loved brands , our 11,000-strong global team, our 13 best-in-class manufacturing sites and 4 specialized science and innovation development centers. Headquartered in France, Opella is the proud maker of many of the world’s most loved brands, including Allegra, Buscopan, Doliprane, Dulcolax, Enterogermina, Essentiale and Mucosolvan. As a globally certified B Corp company, we are active players in the journey towards healthier people and planet. Find out more about our mission at www.opella.com. Who You Are You are a dynamic AI Governance Expert interested in challenging the status quo to ensure development and impact of Sanofi's AI solutions for the patients of tomorrow. You are an influencer and leader who has deployed DSC/AI/ML solutions applying state-of-the art algorithms with technically robust lifecycle management. You have a keen eye for improvement opportunities and a demonstrated ability to deliver AI/ML solutions while working across different technologies and in a cross-functional environment. We are seeking an experienced AI Governance expert to coordinate our artificial intelligence initiatives. This role involves leading and coordinate the development and deployment of AI solutions, guiding a team of talented data scientists and engineers, and collaborating with cross-functional teams to drive innovation and deliver cutting-edge AI projects. Job Highlights & Main Responsibilities Coordinate and manage our AI team in developing innovative AI solutions aligned with business objectives. Ensure regulatory, data privacy and other best practices for AI and GenAI projects. Ensure AI systems comply with privacy laws, data protection regulations, and industry best practices. Develop and deliver training programs to educate employees on AI governance principles, policies, and best practices. Identify and assess potential risks associated with AI technologies and recommend mitigation strategies. Implement risk management frameworks to monitor and address biases, security vulnerabilities, and ethical concerns in AI models. Collaborate with internal and external stakeholders, including data scientists, legal teams, ethicists, and regulatory bodies, to align AI initiatives with governance standards. Serve as a point of contact for AI governance-related queries and issues. Conduct regular audits of AI systems to ensure compliance with established governance policies. Document and report on governance activities, compliance status, and any incidents or breaches. Stay updated on emerging trends and advancements in AI governance and disseminate knowledge across the organization. Analyzing existing operations to identify risks and redundancies. Work with business stakeholders, developers, engineers, and MLOps to deliver AI/ML solutions. Key Requirements & Qualifications Degree or master’s degree in mathematics, computer science, engineering, physics, statistics, economics, or a related quantitative discipline with strong coding skills, OR Master’s Degree in relevant domain with 5+ years of analytical experience. Understanding of AI technologies, machine learning algorithms, and data science principles. In-depth knowledge of legal and ethical issues related to AI, including privacy, bias, and accountability. Excellent analytical, problem-solving, and risk assessment skills. Strong communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels. Proficiency in conducting audits and preparing compliance reports. Minimum of 5+ years of experience in AI governance, data privacy, compliance, or a related field. Proven track record of developing and implementing governance frameworks and policies. Experience with various enterprise-level Application Programming Interfaces (APIs). Hands-on experience in Generative AI projects using state-of-the art technologies: LangChain, Pinecone, Claude, ChatGPT, AI Frameworks and others. Strong experience defining and developing AI solutions from end-to-end perspective. Experience leveraging AI agents like LangChain, AutoGPT or similar in corporate environments. Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML. Experience developing deployable code and deploying models in product-focused development under an agile environment. Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark) Excellent written and verbal communication, business analysis, data visualization and data storytelling skills A demonstrated ability to work and collaborate in a team environment. Proven track record of successfully leading AI projects from conception to deployment. Nice to have: Experience in life sciences and healthcare and experience in a complex global organization. Other Skills And Competencies Advanced Microsoft Office (PowerPoint, Word, Excel) skills. Strong English skills both written and spoken. Spain and French are a plus. Analytical mind and flexible, pro-active and result driven attitude. Ability to be highly productive and effective in remote working conditions. Ability to find compromises: balance between pushing for change and bringing people along. Team player. Goal-focused. Proactive worker Passion for improving and challenging the status quo: a strong educator and digital evangelist. Learning mindset, eager to learn. Enthusiasm and professionalism. Strong self-motivation. Ability to handle different tasks in a fast-paced environment. Ability to work in an International and multi-cultural global team, based on transparency, constructive feedback, mutual respect and integrity. Why us? At Opella, you will enjoy doing challenging, purposeful work, empowered to develop consumer brands with passion and creativity. This is your chance to grow new skills and be part of a bold, collaborative, and inclusive culture where people can thrive and be at their best every day. We Are Challengers. We Are Dedicated To Making Self-care As Simple As It Should Be. That Starts With Our Culture. We Are Challengers By Nature, And This Is How We Do Things All In Together: We keep each other honest and have each other's backs. Courageous: We break boundaries and take thoughtful risks with creativity. Outcome-Obsessed: We are personally accountable, driving sustainable impact and results with integrity. Radically Simple: We strive to make things simple for us and simple for consumers, as it should be. Join us on our mission. Health. In your hands. www.opella.com/en/careers

Position Description: Employees in this job function are responsible for predicting and/ or extracting meaningful trends/ patterns/ recommendations from raw data, leveraging data science methodologies including Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, etc. Key Responsibilities: 1) Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making 2) Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data driven decision-making 3) Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends 4) Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation 5) Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Skills Required: Data Science, Statistics, Communications, Problem Solving, Analytical, Machine Learning Skills Preferred: Cost Analysis, Google Cloud Platform, GCP, Mechanical Engineering Experience Required: Senior Associate Exp: 4 to 6 years experience in statistics and ML based model development Experience Preferred: Experience working within the Automotive industry or with related data such as vehicle telematics, manufacturing quality, supply chain, or customer behavior in an automotive context. • Experience with GCP services such as GCP Big query, GCS, Cloud Run, Cloud Build, Cloud Source Repositories, Cloud Workflows • Proficiency with specific dashboarding and visualization tools such as Looker Studio, PowerBI, Qlik, or Tableau. • Experience with SQL for data querying and manipulation. • Familiarity with big data technologies (e.g., Spark, Hadoop). • Experience with MLOps practices and tools for deploying and managing models in production. • Advanced degree (PhD) in Statistics or a related quantitative field. Education Required: Bachelor's Degree Education Preferred: Master's Degree Additional Information: Lead the end-to-end lifecycle of data science projects, from defining the business problem and exploring data to developing, validating, deploying, and monitoring models in production. • Apply advanced statistical methodologies and machine learning algorithms to analyze large, complex datasets (structured and unstructured) and extract meaningful patterns and insights. • Develop and implement robust, scalable, and automated processes for data analysis and model pipelines, leveraging cloud infrastructure. • Collaborate closely with business stakeholders and cross-functional teams to understand their analytical needs, translate them into technical requirements, and effectively communicate findings. • Create compelling and interactive dashboards and data visualizations to clearly present complex results and insights to both technical and non-technical audiences. • Stay up to date with the latest advancements in statistics, machine learning, and cloud technologies, and advocate for the adoption of best practices.

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 Senior Data ScientistLead, 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 (Data, Analytics & AI), 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, across both financial institutions and retail & commerce. 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 products driven by analytics & AI, leveraging rich data resources, AI platform capabilities and near real-time execution. The Global Data Analytics & AI Product team is developing multiple new products and capabilities using analytics & AI, 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

Process Manager Roles and responsibilities: Design and deliver analytics models aligned with strategic objectives. Partner with pricing, product, and assortment teams to deliver actionable ML-driven insights Ensure robust and well-documented model lifecycle management Present technical results in a clear and actionable manner to business stakeholders Stakeholder Engagement Engage cross-functional teams (merchandising, pricing, category management, leadership) to understand business needs and drive analytics projects Communicate complex analytical concepts in an accessible way to non-technical audiences Business Impact & ROI Drive improvements in revenue, margin, competitive positioning, and operational efficiency through data-driven solutions Develop KPIs to monitor model and business impact, ensuring sustainable value creation Advanced Statistical & Machine Learning Expertise Strong foundation in regression analysis, time-series forecasting, hypothesis testing, A/B testing, and experimental design Hands-on experience building and deploying predictive models for pricing, assortment, sales forecasting, competitive intelligence, and product substitution mapping Applied expertise in ML techniques: classification, clustering, regression, recommendation engines, and feature engineering Domain-Specific Applications Design data science solutions for market intelligence, assortment management, competitive benchmarking, pricing optimization, and digital shelf diagnostics Translate business problems into analytical solutions with measurable business outcomes Scalable Data Pipelines & Model Deployment Develop scalable pipelines and workflows for model building and performance monitoring Implement robust data validation, model explain ability, and documentation practices Technical andFunctional Skills: Senior Data Scientist with 8+ years of experience. Masters degree (preferred) or Bachelors degree in Statistics, Computer Science, Data Science, Mathematics, Engineering, or related quantitative field Additional certifications in Data Science, Machine Learning, or related technologies (AWS/Azure ML, Coursera, edX, etc.) will be an advantage Strong proficiency in Python (Pandas, scikit-learn, NumPy, SQL Alchemy) and SQL. Working knowledge of visualization tools: Power BI, Tableau Exposure to cloud computing environments (Azure / AWS / GCP)

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! 🚀

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.