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Applied Scientist 2 Hyderabad, Telangana, India + 1 more location Date posted Jun 24, 2025 Job number 1822319 Work site Microsoft on-site only Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview How would you like to directly affect the lives of billions of humans? Would you like to be responsible for models and code running across tens of thousands of machines across datacenters around the world? What if you could multiply your impact by making developers around the world better? If you like building highly motivated and productive teams, we have got interesting opportunities for you. Who we are Our team focuses on strategic workloads like M365 Copilot App, Outlook, Teams, Copilot Extensibility, and all productivity applications in M365. The team obsesses about powering workloads with AI and innovates on next generation engineering infrastructure, tooling using AI. This provides every engineer with exceptional opportunities for rich learning, end-to-end ownership, autonomy, innovation and professional growth. Our team of Applied Scientists 2 is chartered to tackle a wide variety of challenges, from building data ingestion to curating data to fine tuning prompts and models. The scientists focus on evaluation metrics to make purpose-built SLMs to infuse AI in productivity scenarios. Every member of this team is expected to collaborate with other teams across Microsoft that are building AI platforms, models and products. She is expected to lead the feature crews with a growth mindset for embracing and extending the rapidly evolving innovations and breakthroughs in this field. Microsoft is committed to Responsible AI and digital safety for all. Every member of the team is expected to work through these frameworks to preserve our commitment to responsible AI while innovating rapidly. She needs to be self-driven, proactive, results-oriented and ready to work with minimal ongoing direction to succeed in this environment of rapid changes and building products from grounds up. About the Org: The M365 org plays a pivotal role in powering end user experiences (copilots and beyond) powered by highly relevant search capability leveraging M365 eco system. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 2+ years of working in an AI research facility or working with software services / experiences infused with AI. Solid customer focus and passion for doing the right thing for the customer. Proven ability to establish trusted, effective relationships across diverse sets of stakeholders. Excellent communication skills and cross group collaboration. Ability to keep pace with rapid innovations in the field and to be creative to solve problems with no past techniques. Experience in developing / working with highly scalable classifiers, ranking algorithms, SLMs, LLMs, Finetuning with RLHF, etc. will be a plus. Preferred Qualifications: Master’s degree with Computer Science with Data Science focus, Mathematics, Statistics, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor’s degree with Computer Science with Data Science focus, Mathematics, Statistics, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Responsibilities You will master one or more subareas and gain expertise in a broad area of research, including applicable research techniques. You’ll also gain deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies. You will review business requirements and incorporate research to meet business goals. You‘ll provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact. You will participate in onboarding of junior team members and assist in developing academics to be members of multidiscipline teams. You’ll identify new research talent to join Microsoft and collaborate with the academic community to develop the recruiting pipeline. You will document work in progress and experimentation results and share findings to promote innovation. You’ll also use your deep understanding of fairness and bias to contribute to ethics and privacy policies related to research processes and data collection. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? Within the Finance Risk Management Group in GRC, Market & Liquidity Risk is the independent risk management team covering market and liquidity risk at American Express. The team’s core responsibility is to design and execute risk measurement and controls across balance sheet management areas, including funding and liquidity risk and market risk. Roles & Responsibilities: Manager – Market Risk Oversight will be responsible for providing independent oversight and effective challenge of Market Risk Management across American Express and American Express National Bank (AENB). This individual will work closely with senior management and business units to ensure effective identification, assessment and mitigation of market risks. Minimum Qualifications: Bachelor’s degree in Finance, Statistics, Actuarial Science, Mathematics, Econometrics, Operations Research, or a related field. 4-8 years of experience in risk management, Treasury, or financial markets; preferably experience with asset liability management, specifically interest rate risk in the banking book (IRRBB), FX risk management, and investment risk oversight Strong understanding of interest rate and FX risk management principles, methodologies, regulatory frameworks and key interest rate risk metrics e.g., Earning at Risk and Economic Value of Equity. Strong verbal and written communication skills. Advanced proficiency in Excel and PowerPoint; experience with risk analytics tools and financial modeling is a plus. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

About Hola Prime Hola Prime is a fast-growing proprietary-trading firm that funds retail traders in forex, futures and crypto across 175+ countries. Our growth engine blends direct‑response performance marketing, influencer / brand ambassador campaigns (NBA All‑Star Karl‑Anthony Towns), powerful affiliate networks and data‑driven retention loops. As we expand into new product lines, we’re doubling down on measurable, ROI‑positive growth—exactly where you come in. Why this role exists We need a hands‑on analytics leader to design, automate and evangelise holistic marketing‑measurement frameworks that: Quantify the true incremental impact of every media dollar (Meta, Google, YouTube, CTV, affiliates, influencers, retention promos). Turn raw trading‑platform data and mar‑tech signals into crisp, actionable insights for the C‑suite, Trading Ops, Product and Investor Relations. Enable smarter budget allocation, faster test‑and‑learn cycles and bullet‑proof business cases for new channels or tactics. Key Responsibilities Measurement Strategy Solution Development Insight & Story telling Cross Functional Leadership Process & Automation Tech Stack You’ll Use Databases / Warehouses: Snowflake, BigQuery, Postgres Languages: SQL, Python, R Visualisation & BI: Tableau, Power BI, Looker / Looker Studio (Data Studio) Marketing & External APIs: Google Ads API, Meta Marketing API, YouTube Data API, Google Analytics Data API, TikTok Marketing API, LinkedIn Ads API Experimentation & Marketing Tools: Google CM360, Meta Experiments, Firebase/GA4, Optimizely Collaboration & Agile: JIRA, Asana, Git, Slack About You 4‑6 years in digital‑marketing analytics, media‑measurement consulting or retail/fintech BI. Proven mastery of incrementality & lift studies, MMM/econometrics, attribution modelling, A/B & multivariate testing. Hands‑on SQL + Python (or R) for data wrangling, statistical modelling and rapid POC builds. Demonstrated expertise building and maintaining dashboards in Tableau and/or Power BI (Looker a plus). Experience integrating and automating marketing data via Google Ads, Meta, YouTube and other advertising APIs. Comfortable joining ad‑platform, web, app and backend trading data; experience with Snowflake/BigQuery preferred. Track record influencing non‑analytics stakeholders—able to sell the story, not just the stats. Experience in fintech, trading, brokerage or highly regulated performance‑marketing environments is preferred. Thrive in high‑velocity, agile teams; you plan with OKRs and ship in sprints. What’s in it for you Direct line of sight to C‑level decisions and multimillion‑dollar media budgets. An open canvas to build the analytics stack you’ve always wanted—no red tape. Global exposure: shape growth levers across 175+ markets and multiple asset classes. Competitive compensation, performance bonus, and the chance to work alongside a passionate, data-obsessed marketing squad. Ready to make every marketing dollar work harder? Apply with your résumé and a short deck or dashboard walkthrough that showcases a campaign, model or API‑driven automation you built that moved the revenue needle. Job Type: Full-time Pay: ₹600,000.00 - ₹1,000,000.00 per year Benefits: Health insurance Provident Fund Schedule: Monday to Friday Supplemental Pay: Performance bonus Quarterly bonus Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Location: Mohali, Punjab (Required)

Vision/ Strategic Planning; Strategic Forecasting & Analysis; Grade : 15 "Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date" To provide advice and guidance at regional/divisional level and effectively manage a team of professionals and/or subject matter experts. Responsibilities may include interfacing with Corporate level management. What your main responsibilities are: Responsibilities: Leads a team responsible To measure & monitor key performance metrics for different global marketing teams – Product Marketing, digital and CE teams To generate analytical insights, through the discovery of patterns and trends and aid data-driven strategy execution to advance brand & reputation, to differentiate thru digital, to grow small & medium segment, etc. To analyse and research customer segment groups by extracting customer & transaction data and analysing profiles to determine market segment requirements and make recommendations Establish innovative strategies to understand and solve complex marketing problems: reach valuable data driven insights, design data & reporting processes to monitor key metrics for marketing measurement and intervention Focus on delivering value that creates a sustainable competitive marketing advantage for brand FedEx Utilize quantitative analytical skills with multiple sources of data to craft insights and create actionable next steps to meet or exceed performance goals. Generate product performance trends & insights critical to influence the portfolio/product strategy With data, identify, assess, and recommend actions to resolve barriers to success of key marketing programs and help improve customer experience Develop and lead a high performing global marketing analytics team and coach and mentor team members to perform at high levels of effectiveness & efficiency in meeting the data, analytics & insights needs of the marketing teams Guide team members to create compelling and dynamic BI visualizations that are intuitive and responsive for end users Guide team members to use the appropriate internal and external data as relevant and applicable across different customer & marketing analytics projects Collaborate & partner with global marketing stakeholders to learn about business challenges, understand data analytics, reporting, measurement & insights needs and identify opportunities to help accelerate information-to-action at scale Develop a prioritized roadmap of analytical projects and KPI performance measurement needs in consultation with global marketing stakeholders and provide leadership to the team on the execution to achieve project goals, milestones, and key measurements of success Provide guidance in identifying and defining data needs & requirements and technical oversight for integrating new marketing technologies or new initiatives to capture necessary data for measurement, tracking & analysis Communicate with all levels of management, facilitate meetings, and build effective working relationships across various business & technical/IT stakeholders Perform in a fast-paced environment with competing priorities and tight deadlines What we are looking for : Skills required: 10+ years of experience in marketing and/or customer analytics insights & recommendations 4+ years of experience managing a team and guiding them through project planning, data analysis, visualization, story boarding and measurement & tracking KPIs for success Technical skills and expertise is tools like SAS, SQL, Python, Power BI Business acumen, commercial focus and curiosity to keep abreast of market/industry/competition/customers Subject matter expertise in data processing & transformation, data analytics & reporting, business intelligence & visualization and story boarding of insights & recommendations in easy to consume formats by different levels of stakeholders – project leads, managers, senior leaders, etc. Demonstrated leadership skills with the ability to effectively influence across all levels of the organization Demonstrated persistence to catalyse change and improvement Lead teams/self through changing priorities to advance initiatives while iterating rapidly to provide data driven insights to execute on portfolio/product/customer segment strategy Strong project management skills and team management experience with managerial abilities to handle a team of data enthusiasts Effective communication skills, both verbal and written, and strong interpersonal skills Strong problem-solving, analytical, critical thinking, and troubleshooting skills Master’s in Business Administration, Engg/Technology, Economics, Econometrics, Statistics, Ops Research Judgement & Decision Making Skills;Planning & Organizing Skills;Influencing & Persuasion Skills;Presentation Skills;Leadership Skills FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone. All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances. Our Company FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World’s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding. Our Philosophy The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company. Our Culture Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970’s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today’s global marketplace.

A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools. A&R has a unique vantage point in the firm’s risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights. The following are core responsibilities for A&R: Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm’s businesses and its client activities. Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting. Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics. Qualifications, Skills & Aptitude Eligible candidates are preferred to have the following: Masters or Bachelors degree in a quantitative discipline such as data science, mathematics, physics, econometrics, computer science or engineering. Entrepreneurial, analytically creative, self-motivated and team-oriented. Excellent written, verbal and team-oriented communication skills. Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, Java, C++, SQL and R. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages. Working knowledge of the financial industry, markets and products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. 3+ years of financial or non-financial risk industry experience.

Vision/ Strategic Planning; Strategic Forecasting & Analysis; Grade : 15 "Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date" To provide advice and guidance at regional/divisional level and effectively manage a team of professionals and/or subject matter experts. Responsibilities may include interfacing with Corporate level management. Responsibilities What your main responsibilities are: Leads a team responsible To measure & monitor key performance metrics for different global marketing teams – Product Marketing, digital and CE teams To generate analytical insights, through the discovery of patterns and trends and aid data-driven strategy execution to advance brand & reputation, to differentiate thru digital, to grow small & medium segment, etc. To analyse and research customer segment groups by extracting customer & transaction data and analysing profiles to determine market segment requirements and make recommendations Establish innovative strategies to understand and solve complex marketing problems: reach valuable data driven insights, design data & reporting processes to monitor key metrics for marketing measurement and intervention Focus on delivering value that creates a sustainable competitive marketing advantage for brand FedEx Utilize quantitative analytical skills with multiple sources of data to craft insights and create actionable next steps to meet or exceed performance goals. Generate product performance trends & insights critical to influence the portfolio/product strategy With data, identify, assess, and recommend actions to resolve barriers to success of key marketing programs and help improve customer experience Develop and lead a high performing global marketing analytics team and coach and mentor team members to perform at high levels of effectiveness & efficiency in meeting the data, analytics & insights needs of the marketing teams Guide team members to create compelling and dynamic BI visualizations that are intuitive and responsive for end users Guide team members to use the appropriate internal and external data as relevant and applicable across different customer & marketing analytics projects Collaborate & partner with global marketing stakeholders to learn about business challenges, understand data analytics, reporting, measurement & insights needs and identify opportunities to help accelerate information-to-action at scale Develop a prioritized roadmap of analytical projects and KPI performance measurement needs in consultation with global marketing stakeholders and provide leadership to the team on the execution to achieve project goals, milestones, and key measurements of success Provide guidance in identifying and defining data needs & requirements and technical oversight for integrating new marketing technologies or new initiatives to capture necessary data for measurement, tracking & analysis Communicate with all levels of management, facilitate meetings, and build effective working relationships across various business & technical/IT stakeholders Perform in a fast-paced environment with competing priorities and tight deadlines Skills Required What we are looking for : 10+ years of experience in marketing and/or customer analytics insights & recommendations 4+ years of experience managing a team and guiding them through project planning, data analysis, visualization, story boarding and measurement & tracking KPIs for success Technical skills and expertise is tools like SAS, SQL, Python, Power BI Business acumen, commercial focus and curiosity to keep abreast of market/industry/competition/customers Subject matter expertise in data processing & transformation, data analytics & reporting, business intelligence & visualization and story boarding of insights & recommendations in easy to consume formats by different levels of stakeholders – project leads, managers, senior leaders, etc. Demonstrated leadership skills with the ability to effectively influence across all levels of the organization Demonstrated persistence to catalyse change and improvement Lead teams/self through changing priorities to advance initiatives while iterating rapidly to provide data driven insights to execute on portfolio/product/customer segment strategy Strong project management skills and team management experience with managerial abilities to handle a team of data enthusiasts Effective communication skills, both verbal and written, and strong interpersonal skills Strong problem-solving, analytical, critical thinking, and troubleshooting skills Master’s in Business Administration, Engg/Technology, Economics, Econometrics, Statistics, Ops Research Judgement & Decision Making Skills;Planning & Organizing Skills;Influencing & Persuasion Skills;Presentation Skills;Leadership Skills FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone. All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances. Our Company FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World’s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding. Our Philosophy The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company. Our Culture Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970’s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today’s global marketplace.

Why this role exists We need a handson analytics leader to design, automate and evangelise holistic marketingmeasurement frameworks that: Quantify the true incremental impact of every media dollar (Meta, Google, YouTube, CTV, affiliates, influencers, retention promos). Turn raw tradingplatform data and martech signals into crisp, actionable insights for the Csuite, Trading Ops, Product and Investor Relations. Enable smarter budget allocation, faster testandlearn cycles and bulletproof business cases for new channels or tactics. Key Responsibilities Measurement Strategy Architect and codify Hola Primes omnichannel performancemeasurement playbook (MMM, attribution, lift tests, testvscontrol, brand & search lift, funnel analytics). Define the canonical KPI hierarchy impressions clicks fundedaccount conversions profitshare payouts and the guardrails for each stage. Solution Development Prototype and productionize analytics solutions (SQL/Python/R) that stitch adplatform signals with firstparty trading data. Build interactive dashboards in Tableau, Power BI, Looker/Looker Studio that surface ROI, LTV/CAC, retention cohorts, payout velocity and incremental revenue. Leverage marketing APIs (Google Ads API, Meta Marketing API, YouTube Data & Analytics APIs, Google Analytics Data API, etc.) to automate data extraction, campaign optimisation and realtime performance feedback loops. Insight & Storytelling Translate complex stats into boardready narratives and campaign postmortems. Partner with Performance Marketing, Product, Retention and Finance to recommend spend shifts, creative optimizations and new growth loops. CrossFunctional Leadership Work daytoday with Product, Data Engineering and MarTech to activate clean data feeds. Upskill marketers on experimentation bestpractices, new BI tools and advanced measurement methods. Process & Automation Identify manual painpoints and drive tooling/BI & APIintegration enhancements to cut reporting lag. Champion agile ritualsuser stories, sprint reviews, OKRsto keep analytics roadmaps on track. Tech Stack Youll Use Databases / Warehouses: Snowflake, BigQuery, Postgres Languages: SQL, Python, R Visualisation & BI: Tableau, Power BI, Looker / Looker Studio (Data Studio) Marketing & External APIs: Google Ads API, Meta Marketing API, YouTube Data API, Google Analytics Data API, TikTok Marketing API, LinkedIn Ads API Experimentation & Marketing Tools: Google CM360, Meta Experiments, Firebase/GA4, Optimizely Collaboration & Agile: JIRA, Asana, Git, Slack Preferred candidate profile 46 years in digitalmarketing analytics, mediameasurement consulting or retail/fintech BI. Proven mastery of incrementality & lift studies, MMM/econometrics, attribution modelling, A/B & multivariate testing. Handson SQL + Python (or R) for data wrangling, statistical modelling and rapid POC builds. Demonstrated expertise building and maintaining dashboards in Tableau and/or Power BI (Looker a plus). Experience integrating and automating marketing data via Google Ads, Meta, YouTube and other advertising APIs. Comfortable joining adplatform, web, app and backend trading data; experience with Snowflake/BigQuery preferred. Track record influencing nonanalytics stakeholdersable to sell the story, not just the stats. Experience in fintech, trading, brokerage or highly regulated performancemarketing environments is preferred. Thrive in highvelocity, agile teams; you plan with OKRs and ship in sprints. Whats in it for you Direct line of sight to Clevel decisions and multimilliondollar media budgets. An open canvas to build the analytics stack you’ve always wanted—no red tape. Global exposure: shape growth levers across 175+ markets and multiple asset classes. Competitive compensation, performance bonus, and the chance to work alongside a passionate, data-obsessed marketing squad.

Job Description A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools. A&R has a unique vantage point in the firm’s risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights. The following are core responsibilities for A&R: Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm’s businesses and its client activities. Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting. Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics. Qualifications, Skills & Aptitude Eligible candidates are preferred to have the following: Masters or Bachelors degree in a quantitative discipline such as data science, mathematics, physics, econometrics, computer science or engineering. Entrepreneurial, analytically creative, self-motivated and team-oriented. Excellent written, verbal and team-oriented communication skills. Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, Java, C++, SQL and R. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages. Working knowledge of the financial industry, markets and products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. 3+ years of financial or non-financial risk industry experience.

About Hola Prime Hola Prime is a fast-growing proprietary-trading firm that funds retail traders in forex, futures and crypto across 175+ countries. Our growth engine blends direct‑response performance marketing, influencer / brand ambassador campaigns (NBA All‑Star Karl‑Anthony Towns), powerful affiliate networks and data‑driven retention loops. As we expand into new product lines, we’re doubling down on measurable, ROI‑positive growth—exactly where you come in. Why this role exists We need a hands‑on analytics leader to design, automate and evangelise holistic marketing‑measurement frameworks that: Quantify the true incremental impact of every media dollar (Meta, Google, YouTube, CTV, affiliates, influencers, retention promos). Turn raw trading‑platform data and mar‑tech signals into crisp, actionable insights for the C‑suite, Trading Ops, Product and Investor Relations. Enable smarter budget allocation, faster test‑and‑learn cycles and bullet‑proof business cases for new channels or tactics. Key Responsibilities Measurement Strategy Solution Development Insight & Story telling Cross Functional Leadership Process & Automation Tech Stack You’ll Use Databases / Warehouses: Snowflake, BigQuery, Postgres Languages: SQL, Python, R Visualisation & BI: Tableau, Power BI, Looker / Looker Studio (Data Studio) Marketing & External APIs: Google Ads API, Meta Marketing API, YouTube Data API, Google Analytics Data API, TikTok Marketing API, LinkedIn Ads API Experimentation & Marketing Tools: Google CM360, Meta Experiments, Firebase/GA4, Optimizely Collaboration & Agile: JIRA, Asana, Git, Slack About You 4‑6 years in digital‑marketing analytics, media‑measurement consulting or retail/fintech BI. Proven mastery of incrementality & lift studies, MMM/econometrics, attribution modelling, A/B & multivariate testing. Hands‑on SQL + Python (or R) for data wrangling, statistical modelling and rapid POC builds. Demonstrated expertise building and maintaining dashboards in Tableau and/or Power BI (Looker a plus). Experience integrating and automating marketing data via Google Ads, Meta, YouTube and other advertising APIs. Comfortable joining ad‑platform, web, app and backend trading data; experience with Snowflake/BigQuery preferred. Track record influencing non‑analytics stakeholders—able to sell the story, not just the stats. Experience in fintech, trading, brokerage or highly regulated performance‑marketing environments is preferred. Thrive in high‑velocity, agile teams; you plan with OKRs and ship in sprints. What’s in it for you Direct line of sight to C‑level decisions and multimillion‑dollar media budgets. An open canvas to build the analytics stack you’ve always wanted—no red tape. Global exposure: shape growth levers across 175+ markets and multiple asset classes. Competitive compensation, performance bonus, and the chance to work alongside a passionate, data-obsessed marketing squad. Ready to make every marketing dollar work harder? Apply with your résumé and a short deck or dashboard walkthrough that showcases a campaign, model or API‑driven automation you built that moved the revenue needle. Job Type: Full-time Pay: ₹600,000.00 - ₹1,000,000.00 per year Benefits: Health insurance Provident Fund Schedule: Monday to Friday Supplemental Pay: Performance bonus Quarterly bonus Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Location: Mohali, Punjab (Required)

Metyis is growing! We are looking for a Data Science Associate with 3+ years of experience to join our Data and Analytics team in Gurgaon, India. Who we are The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. What we offer Interact with C-level at our clients on regular basis to drive their business towards impactful change Lead your team in creating new business solutions Seize opportunities at the client and at Metyis in our entrepreneurial environment Become part of a fast growing international and diverse team What you will do Execute data science projects from start to end. Understand client business problems, define analytical approaches, and develop actionable solutions. Engage directly with stakeholders to gather requirements, present findings, and guide data-driven decisions. Preprocess and analyze structured and unstructured data using statistical approach. Build and deploy predictive models, forecasting solutions, recommendation systems. Collaborate with engineering, product, and business teams to translate insights into outcomes. Communicate results clearly through presentations and storytelling. What you’ll bring Graduate degree or higher with courses in programming, econometrics / data science Experience: 3 - 6 years of professional work experience in advanced analytics domain, using statistical modeling and deep learning for business problem solutions. Well-developed Logical Reasoning, Critical Thinking & Problem-Solving abilities. Excellent presentations skills and storytelling capabilities. Self-driven with a collaborative attitude and a passion for delivering business value through data. Strong hands-on experience in Python/R and SQL. Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. Experience with data visualization tools in python like – Seaborn, Plotly. Good understanding of Git concepts. Good experience with data manipulation tools in python like – Pandas, Numpy. Must have worked with scikit learn, NLTK, Spacy, transformers. Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines. Good to have: Generative AI Experience with text and Image data. Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG). In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.

Metyis is growing! We are looking for a Data Science Associate with 3+ years of experience, to join our Data and Analytics team in Bangalore, India. Who we are The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. What we offer Interact with C-level at our clients on regular basis to drive their business towards impactful change Lead your team in creating new business solutions Seize opportunities at the client and at Metyis in our entrepreneurial environment Become part of a fast growing international and diverse team What you will do Execute data science projects from start to end. Understand client business problems, define analytical approaches, and develop actionable solutions. Engage directly with stakeholders to gather requirements, present findings, and guide data-driven decisions. Preprocess and analyze structured and unstructured data using statistical approach. Build and deploy predictive models, forecasting solutions, recommendation systems. Collaborate with engineering, product, and business teams to translate insights into outcomes. Communicate results clearly through presentations and storytelling. What you’ll bring Graduate degree or higher with courses in programming, econometrics / data science Experience: 3 - 6 years of professional work experience in advanced analytics domain, using statistical modeling and deep learning for business problem solutions. Well-developed Logical Reasoning, Critical Thinking & Problem-Solving abilities. Excellent presentations skills and storytelling capabilities. Self-driven with a collaborative attitude and a passion for delivering business value through data. Strong hands-on experience in Python/R and SQL. Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. Experience with data visualization tools in python like – Seaborn, Plotly. Good understanding of Git concepts. Good experience with data manipulation tools in python like – Pandas, Numpy. Must have worked with scikit learn, NLTK, Spacy, transformers. Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines. Good to have: Generative AI Experience with text and Image data. Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG). In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.

About Internal Audit Internal Audit function of the Bank, operates independently under the supervision of the Audit Committee of the Board and is responsible for providing an independent view to the Board of Directors and Senior Management on the quality and efficacy of the internal controls, risk management systems, governance systems and processes in place on an on-going basis. This is provided to primarily ensure that the business and support functions are in compliance with both internal and regulatory guidelines. About the Role The candidate should have master s degree in Statistics, Econometrics, or a related quantitative field. Proven experience in Risk Modelling/Model validation and proficiency with statistical modeling software ( R & SAS) is desired. Key Responsibilities Model Risk specialist, in close collaboration with Risk Audit team members will execute audits and other model risk audit related activities to ensure efficient and high quality audit execution for critical models in use at the Bank. The internal audit role would include the following as part of the day-to-day job: Audit of model development and validation process within the Bank. Updating risk and control matrix and checklist for audits being undertaken. Undertaking detailed walkthrough of the processes being audited and develop data request for the audit Updating of internal audit MIS with the status of audit observations and other actionable emanating to the audit department Assisting in making presentations to senior management and audit committee on the audits undertaken and performance of internal audits Provide necessary support in automating tests used in audit execution for achieving Continuous Control Monitoring (CCM) Qualifications Optimal qualification for success on the job is: Knowledge of SR 11-7 guidelines and its implementation for the model governance Experience in development and validation of statistical models in use across banks, primarily for the purpose of Credit underwriting and measurement & management of Credit Risk, Market & ALM Risk, ICAAP & Stress testing etc. Previous work experience in Risk Analytics or Model Risk team of a bank or Risk advisory team of leading consulting firm with majority of time allocated on developing or validating statistical/econometric models Proficiency in statistical modeling software R , Python, SAS & SQL is an added advantage Excellent written and verbal communication skills Role Proficiencies: For successful execution of the job, a candidate should possess the- Knowledge of relevant Audit Systems Good communication (both verbal & written) and inter-personal skills Strong Excel and database manipulation skills, financial and statistical analysis skills) Ability to manage risk and uncertainty for self and team within a dynamic priority-setting environment Ability to prioritize and make decisions in a fast-paced environment Ability to manage multiple tasks/projects and deadlines simultaneously

Role & responsibilities Deliver subject-specific lectures, case studies, simulations, and workshops to PGDM/MBA/BBA/BCA students Develop course material, lesson plans, and hands-on activities aligned with AICTE / MDU and industry standards Use tools like Excel, Python, Tableau, R, SCM tools (for Operations), and simulation platforms Mentor students on projects, internships, and live case assignments Evaluate students performance through continuous internal assessments Organize skill labs, certification support sessions, and corporate knowledge exchange events Willing and excited to also take administrative responsibilities and job roles Subject-wise Requirements: 1. Business Analytics (Full-Time/Part-Time) Teach tools like Excel, Power BI, Python (basic), SQL, and analytics frameworks Deliver practical sessions on data cleaning, dashboards, decision support models Should be an all-rounder in B. Analytics subject areas like Market Microstructure, Predictive Business Analytics, Econometrics Eager to learn and teach on OS Softwares 2. Finance (with mandatory strong Excel exposure) Teach Financial Modelling, Valuation, MIS, Forecasting using Excel Must integrate Tally/Zoho/FinTech basics in classroom simulations Should be an all-rounder in Finance subject areas like Cost Accounting/GST/Income Tax Eager to learn and teach on OS softwares 3. Information Technology (AI/ML/Python/Data Structures/C++) Teach programming foundations with Python, C++, and exposure to ML/AI concepts Hands-on with Jupyter, Colab, GitHub, and coding practices Should be an all-rounder in IT concepts Eager to learn and teach 4. Operations & SCM (Transportation, Warehouse, Supply Chain Analytics) Teach SCM tools, TMS platforms, inventory modeling, Lean/6 Sigma basics Practical exposure to case-based supply chain problem-solving

Hyderabad, India Job ID: R-1077477 Apply prior to the end date: July 25th, 2025 When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. Job Description Verizon is a global leader in technology and communications, relentlessly innovating to transform how we connect and drive positive change through enhanced customer-centricity, collaboration, and innovation. We are building an organization focused on value creation by accelerating efficiencies, expanding our network superiority, and growing our customer base. The Verizon Global Services (VGS) organization is pivotal, centralizing key functions to strategically deliver services across all business groups and centers of excellence, ensuring seamless and efficient business processes through a holistic partner ecosystem. The Strategy and Transformation team within VGS plays a critical role in defining organizational strategy, enabling cross-functional transformation, and facilitating service delivery. We focus on optimizing end-to-end customer and employee experiences. We challenge the status quo, look beyond the horizon, and strive to make the future a reality. Together, we are moving the world forward – and you can too. Dream it. Build it. Do it here. What you’ll be doing As a key member of the VGS Strategy team, you will be instrumental in driving strategic initiatives that deliver significant business value, enhance efficiency, and foster operational and process excellence across VGS and Verizon. You'll lead the transformation approach to achieve VGS goals for 2025 and build the opportunity backlog for sustainable business value beyond 2026 through robust business planning. You'll be responsible for creating transparency by industrializing financial and portfolio processes within VGS, aiming for significant savings and identifying re-investment opportunities to create value across Verizon. This includes managing the end-to-end demand process, leading strategic and operational transformation initiatives, and developing detailed financial models to support strategic planning and investment decisions. Your role will also involve institutionalizing operational reviews, matrix management, and effective planning and governance processes to ensure the achievement of the VGS OKR dashboard. You will drive process excellence by creating a backlog of improvement opportunities, pursuing at least two in 2025, and leading re-engineering efforts with S&T process experts to elevate team impact and ensure seamless customer and employee experiences. You'll champion data-driven decision-making, ensuring analytics lead to continuous business improvements and more profitable growth. What we’re looking for We are seeking an inspiring and results-oriented Senior Manager with a strong background in business transformation, strategy execution, and data-driven decision making. You are adept at leveraging quantitative analysis to solve complex business challenges, capable of visualizing strategic objectives while meticulously breaking them down into actionable components. You believe that data underpins optimal decisions and excel at extracting key insights from datasets. Your ability to communicate complex analytical findings in a clear, concise, and practical manner will be crucial for influencing senior leadership and fostering a culture of data-driven improvements. You are a proactive leader who anticipates risks, builds strong relationships, and motivates cross-functional teams to achieve ambitious goals. Where you'll be working… In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. You’ll need to have: Bachelor's degree or six or more years of experience. Six or more years of relevant experience, demonstrated through a combination of work and specialized training, with a strong focus on business transformation, strategy, and operational improvement. Bachelor’s degree in Math, Statistics, Physics, Engineering, Computer Science, Econometrics or Science Graduate with Maths or Statistics specialization and a Post Graduate Diploma or Master's degree in Business Administration. Extensive experience with quantitative modeling, statistics, or data mining. Proven experience in market research and analysis. Proficiency with visualization software such as Qlikview, Tableau, or Excel. Excellent presentation and articulation skills, demonstrating strong analytical and critical thinking abilities. Demonstrated ability to influence stakeholders and achieve desired results through compelling, data-backed narratives and factual presentations. Ability to translate complex ideas and express them in concise, easily understandable ways for diverse audiences. Proven experience in managing large cross-functional projects, including strategy development, initiative planning, work plan creation, timeline management, and goal setting to ensure stakeholder and VGS commitments are met. Even better if you have one or more of the following: Master's degree or PhD in Operations Research, Industrial Engineering, Statistics, Economics, or a related field. Broad financial acumen, including knowledge of valuation methodologies and the ability to develop sophisticated financial models. Strong analytical and creative problem-solving skills, combined with hands-on experience in SQL, scripting/statistical programming languages (Python, R, etc.), and advanced visualization software tools. Understanding of advanced statistical methods, machine learning principles, and cloud architecture. Intellectual curiosity and a passion for technology-backed, transformative industries. Experience handling confidential information in accordance with industry standards. Experience in designing and leading proof-of-concept and/or pilot engagements with technology and business partners. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 0 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Apply Now Save Saved Open sharing options Share Related Jobs Business Transformation Senior Manager Save Basking Ridge, New Jersey, +4 other locations Strategic Planning Senior Director - Business Product Strategy Save Basking Ridge, New Jersey Strategic Planning Associate Director-Tech Process Management Save Hyderabad, India, +1 other location Technology Impact is a team sport. From finance to supply chain, help drive our success and create meaningful change in your career and the world.

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Job Description Review and research moderately complex business, operational, and technical challenges that require an in-depth evaluation of variable factors Perform complex to moderately complex analysis on marketing related data Develop and maintain complex Power BI and Tableau dashboards Extract actionable insights from data to inform marketing strategy and drive measurable growth Plan, coordinate, and execute analysis in conjunction with your peers and managers for your primary and secondary stakeholders Clearly communicate key findings and recommendations to stakeholders, translating complex data into actionable business strategies Manage multiple projects simultaneously, ensuring on-time campaign measurement, accurate reporting and effective communication with stakeholders Participate on large cross group projects and mentor less experienced staff B1 Business Analytics – Job Description Review and research moderately complex business, operational, and technical challenges that require an in-depth evaluation of variable factors Perform complex to moderately complex analysis on marketing related data Develop and maintain complex Power BI and Tableau dashboards Extract actionable insights from data to inform marketing strategy and drive measurable growth Plan, coordinate, and execute analysis in conjunction with your peers and managers for your primary and secondary stakeholders Clearly communicate key findings and recommendations to stakeholders, translating complex data into actionable business strategies Manage multiple projects simultaneously, ensuring on-time campaign measurement, accurate reporting and effective communication with stakeholders Participate on large cross group projects and mentor less experienced staff Required Qualifications: 2-4 years of experience in dashboarding and analytics Expertise in marketing analytics, with proficiency in tools such as SQL, Python, Advanced Excel, Tableau and Power BI Experience in data visualization and presentation techniques for executive level reporting (Using Tableau, Power BI or any other visualization tool) Experience in Direct and Digital Marketing, with a strong focus on data analytics, A/B testing, multivariate testing, and performance optimization BS/BA degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis Excellent written and verbal communication skills, capable of influencing stakeholders and presenting data-driven recommendations effectively Other Desired Qualifications (at least three) Knowledge and understanding of complex databases Experience in data wrangling and complex SQL writing Knowledge and understanding of Marketing related data (Good to have) 2+ years Python or R (Good to have) 3+ years hands on experience performing data analysis (Good to have) Experience with text mining and text analytics (Good to have) Experience using statistical tools to interpret data sets, identifying correlations, trends and patterns (Good to have) Other Desired Qualifications (any) Experience with iterative development approach (Agile) Experience with source control (GitHub) Experience with issue and project tracking (JIRA) Primary Skills Business Analysis, Business Case Analyses, Data Analytics Shift Time Shift B (India) Recruiter Info rkotz@allstate.com About Allstate The Allstate Corporation is one of the largest publicly held insurance providers in the United States. Ranked No. 84 in the 2023 Fortune 500 list of the largest United States corporations by total revenue, The Allstate Corporation owns and operates 18 companies in the United States, Canada, Northern Ireland, and India. Allstate India Private Limited, also known as Allstate India, is a subsidiary of The Allstate Corporation. The India talent center was set up in 2012 and operates under the corporation's Good Hands promise. As it innovates operations and technology, Allstate India has evolved beyond its technology functions to be the critical strategic business services arm of the corporation. With offices in Bengaluru and Pune, the company offers expertise to the parent organization’s business areas including technology and innovation, accounting and imaging services, policy administration, transformation solution design and support services, transformation of property liability service design, global operations and integration, and training and transition. Learn more about Allstate India here.

Ikaai India invites applications from experienced professionals on project basis. Note: This is an RFP-based hiring, and engagement is subject to the award of the assignment. Open Positions: 1. Project Head (Freelance Consultant) Minimum Qualifications: Postgraduate Degree in Management, Public Policy, Public Administration, or related fields. PhD preferred. Experience: Minimum 20 years of experience in leading Monitoring and Evaluation projects. Proven track record of leading teams in at least 2 general assignments and 1 specific assignment. Minimum 5 years’ experience in the evaluation of government sector schemes . Experience is marine and fisheries will be an advantage Candidates from Tamil Nadu/Kerala/Karnataka/Andhra Pradesh/Maharashtra will be preferred. 2. Deputy Team Leader (Freelance Consultant) Minimum Qualifications: MBA, Postgraduate Diploma in Management, or equivalent. Experience: Minimum 12 years of experience in leading or coordinating M & E projects. Must have participated in at least 2 general assignments and served as Deputy Team Leader in 1 specific assignment. Candidates from Tamil Nadu/Kerala/Karnataka/Andhra Pradesh/Maharashtra will be preferred. 3. Monitoring & Evaluation Expert (Freelance Consultant) Minimum Qualifications: Degree in Economics, Econometrics, Statistics or related fields-Advisors and Analysis Experience: Minimum 10 years of experience in leading or coordinating M & E projects. Must have participated in at least 2 general assignments and served as Deputy Team Leader in 1 specific assignment. Candidates from Tamil Nadu/Kerala/Karnataka/Andhra Pradesh/Maharashtra will be preferred. General Requirements for All Positions: Strong understanding of government sector schemes and their evaluation frameworks. Experience in fisheries, marine products, or similar sectors will be an added advantage. Excellent leadership, coordination, and communication skills. Willingness to travel as per project requirements. Candidates from Tamil Nadu/Kerala/Karnataka/Andhra Pradesh/Maharashtra will be preferred. Application Process: Deadline: 20.06.2025 How to Apply: Interested candidates are requested to email their updated CVs at info@ikaaiindia.in with the subject line: “Application for [Project Head/Deputy Team Leader]” Please note: Only shortlisted candidates will be contacted.

As a Data Scientist you’ll be part of a team that is working on cutting edge machine learning models. You will work side by side with Analysts and Machine Learning Engineers and take full ownership of your work – from the initial idea-generation phase to the implementation of the final product. Our ideal candidate is result-focused, innovative, has a solid quantitative background and a good business understanding. About The Role Working in a multi-disciplined team where you’ll take full ownership of turning discoveries and ideas into machine learning models. Prototyping diverse machine learning models, from credit scoring to recommendation engine. Researching & Development on how to improve our models, by using our vast amount and unique set of data. Actively contribute to taking Data Science at Kredivo to the next level. About You Minimum of 5 years of hands-on experience in risk modeling within the financial services industry or other similar industries and at least 2 years experience in managing a team. Strong domain expertise and solid understanding of financial products, risk metrics, and regulatory requirements. Understand risk modeling best practices and capable of delivering end-to-end, robust and impactful data products. Proven track record of delivering high-quality data products in a fast-paced, dynamic environment. Excellent problem-solving skills with a demonstrated ability to think analytically and strategically. Strong communication skills with the ability to convey complex concepts to both technical and non-technical audiences. Bonus Points (optional) For Masters, PhD or equivalent experience in a quantitative field (i.e, Mathematics, Statistics, Econometrics, Artificial Intelligence, Physics). Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark).

Analyst - Macro Economics: Job description Economic Research: Conducting in-depth research and analysis of macroeconomic indicators, financial markets, industry trends, and relevant policy developments. This includes monitoring and interpreting economic data, such as GDP growth, inflation rates, interest rates, employment figures, and trade data Market Analysis: Assessing the impact of economic factors on financial markets, including stocks, bonds, currencies, commodities, and derivatives. Analyzing market trends, investor sentiment, and financial news to provide market commentary and forecasts Investment Strategy: Providing insights on market opportunities, risks, and potential returns to support investment decision-making Forecasting and Modelling: Developing economic models and forecasting tools to project future economic conditions, market trends, and investment returns. This can involve using statistical techniques, econometric models, and financial forecasting software Key Requirements for the Role: Must have: Knowledge and Experience with Indian and Global Economy Excellent written & spoken communication skills Good to have Data Analysis Quantitative skills such as Python Education: Bachelors or Masters degree ineconomics Prior work experience: 0-2 years

Who We Are The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. What We Offer Interact with C-level at our clients on regular basis to drive their business towards impactful change Lead your team in creating new business solutions Seize opportunities at the client and at Metyis in our entrepreneurial environment Become part of a fast growing international and diverse team What You Will Do Execute data science projects from start to end. Understand client business problems, define analytical approaches, and develop actionable solutions. Engage directly with stakeholders to gather requirements, present findings, and guide data-driven decisions. Preprocess and analyze structured and unstructured data using statistical approach. Build and deploy predictive models, forecasting solutions, recommendation systems. Collaborate with engineering, product, and business teams to translate insights into outcomes. Communicate results clearly through presentations and storytelling. What You’ll Bring Graduate degree or higher with courses in programming, econometrics / data science Experience: 3 - 6 years of professional work experience in advanced analytics domain, using statistical modeling and deep learning for business problem solutions. Well-developed Logical Reasoning, Critical Thinking & Problem-Solving abilities. Excellent presentations skills and storytelling capabilities. Self-driven with a collaborative attitude and a passion for delivering business value through data. Strong hands-on experience in Python/R and SQL. Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. Experience with data visualization tools in python like – Seaborn, Plotly. Good understanding of Git concepts. Good experience with data manipulation tools in python like – Pandas, Numpy. Must have worked with scikit learn, NLTK, Spacy, transformers. Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines. Good to have: Generative AI Experience with text and Image data. Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG). In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.

Who We Are The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. What We Offer Interact with C-level at our clients on regular basis to drive their business towards impactful change Lead your team in creating new business solutions Seize opportunities at the client and at Metyis in our entrepreneurial environment Become part of a fast growing international and diverse team What You Will Do Execute data science projects from start to end. Understand client business problems, define analytical approaches, and develop actionable solutions. Engage directly with stakeholders to gather requirements, present findings, and guide data-driven decisions. Preprocess and analyze structured and unstructured data using statistical approach. Build and deploy predictive models, forecasting solutions, recommendation systems. Collaborate with engineering, product, and business teams to translate insights into outcomes. Communicate results clearly through presentations and storytelling. What You’ll Bring Graduate degree or higher with courses in programming, econometrics / data science Experience: 3 - 6 years of professional work experience in advanced analytics domain, using statistical modeling and deep learning for business problem solutions. Well-developed Logical Reasoning, Critical Thinking & Problem-Solving abilities. Excellent presentations skills and storytelling capabilities. Self-driven with a collaborative attitude and a passion for delivering business value through data. Strong hands-on experience in Python/R and SQL. Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. Experience with data visualization tools in python like – Seaborn, Plotly. Good understanding of Git concepts. Good experience with data manipulation tools in python like – Pandas, Numpy. Must have worked with scikit learn, NLTK, Spacy, transformers. Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines. Good to have: Generative AI Experience with text and Image data. Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG). In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.

If you are wondering what makes TRIMEDX different, it's that all of our associates share in a common purpose of serving clients, patients, communities, and each other with equal measures of care and performance. Everyone is focused on serving the customer and we do that by collaborating and supporting each other Associates look forward to coming to work each day Every associate matters and makes a difference It is truly a culture like no other — We hope you will join our team! Find out more about our company and culture here. TRIMEDX is an industry-leading, independent clinical asset management company delivering comprehensive clinical engineering services, clinical asset informatics, and medical device cybersecurity solutions to many of the largest health systems in the US. We help healthcare providers transform their clinical assets into strategic tools, driving reductions in operational expenses, optimizing clinical asset capital purchasing decisions and usage, improving caregiver satisfaction and productivity, maximizing resources for patient care, and delivering improved patient safety & protection. TRIMEDX was built by providers, for providers, and leverages a history of expert clinical engineering with data on 90-95% of in-use medical equipment in the United States and an industry-leading data set of more than 6 million medical device records. A recent study by Fortune states that global healthcare asset management market is estimated to be $215B by 2032 with a CAGR of 25.3%. The United States is the largest single market for medical devices and accounts for about 40 percent of worldwide sales (BMI Research 2015). We are looking for the Chief Data Scientist who can accelerate our growth as a thought leader in Data Science, Research, and application of models to solve complex business problems. This person will lead the Company’s efforts to create a data science practice dedicated to harnessing this proprietary data set to support commercialization of novel new market solutions to enable providers to make informed decisions regarding their clinical asset investments and utilization. This role will be one of the most prominent voices in the global medical device industry. As the Chief Data Scientist, you will be responsible for leading TRIMEDX data and AI architecture and design to help our customers increase their clinical asset utilization and reduce cost to operate. You will design our enterprise-wide AI and Machine Learning initiatives. This new role will be instrumental in shaping and implementing our AI roadmap, driving innovation through advanced data modeling, and applying automation to optimize operations across diverse data ecosystems. It involves orchestrating Agentic AI across multiple SaaS infrastructures, including, but not limited to, Snowflake, Azure, ServiceNow, and Looker. In this role, you will work with senior executives and customers to arrive at solutions that significantly lift their business and accelerate the growth. Key Responsibilities You are a strategic leader that has defined enterprise AI/ML platforms with a strong focus on LLMs, generative AI, and predictive modeling. You will implement model-driven features from initial concept to production, covering all stages including model creation, evaluation, performance metrics, A/B testing, drift monitoring and self-correction with feedback loops. You will coach and train talented engineers in their career growth and set an example for data and AI organization. Your experience is building pricing models, forecasting, smart work assignment are preferred. You stay at the forefront of AI/ML research and emerging technologies; evaluate and integrate cutting-edge tools and frameworks. You will foster a culture of experimentation and continuous learning within the data science team. You will create high levels of engagement across teams in partnership with other key leaders within broader teams. Skills And Experience Minimum of 12 years of experience in computer science, data science, Statistics or related field. Experience preference in machine learning, data analytics or related disciplines with a focus on algorithmic product development. Deep expertise in statistics, econometrics, predictive analytics, and related disciplines. Working experience with modeling tools and languages such as Python, PyTorch, JAX, Tensorflow, SQL, and experience deploying production models on clouds platforms (AWS, Azure, GCP). Must have demonstrated experience leading data driven initiatives. Experience leading people is preferred. Demonstrated experience with multi-modal LLMs. Experience with A/B testing and cocreate MLOps practice for systemic application and maintenance of the models. Hands on experience deploying high impact, high Throughput, highly scalable, multi-modal ML models in Azure. Experience in data analysis using different types of datasets with statistics and predictive modeling foundations, including PC and foundation models. Experience creating patents and publications and / or speaking at top conferences such as CVPR (Computer Vision and Pattern Recognition Conference), IEEE (The Institute of Electrical and Electronics Engineers), SIGKDD (Special Interest Group on Knowledge Discovery and Data Mining), AAAI (Association for the Advancement of Artificial Intelligence), NeurIPS. Successful and proven experience to collaborate and deliver results in a fast paced, multifaceted, matrix environment. Proven success at working with abstract ideas and solving complex problems while driving collaboration across various teams. Ability to be hands-on when necessary as well as strategic is required. Excellent public speaking and presentation skills; strong written and verbal communication skills. Ability to travel up to 50%. Education And Qualifications Bachelor’s degree in Statistics, Economics or related field is required, or equivalent experience. Master’s degree or Ph.D. in Statistics or Economics is highly preferred. At TRIMEDX, we support and protect a culture where diversity, equity and inclusion are the foundation. We know it is our uniqueness and experiences that make a difference, drive innovation and create shared success. We create an inclusive workplace by actively seeking diversity, creating inclusion and driving equity and engagement. We embrace people’s differences which include age, race, color, ethnicity, gender, gender identity, sexual orientation, national origin, education, genetics, veteran status, disability, religion, beliefs, opinions and life experiences. Visit our website to view our full Diversity, Equity and Inclusion statement, along with our social channels to see what our team is up to: Facebook , LinkedIn , Twitter . TRIMEDX is an Equal Opportunity Employer. Drug-Free Workplace. Because we are committed to providing a safe and productive work environment, TRIMEDX is a drug-free workplace. Accordingly, Associates are prohibited from engaging in the unlawful manufacture, sale, distribution, dispensation, possession, or use of any controlled substance or marijuana, or otherwise being under the influence thereof, on all TRIMEDX and Customer property or during working/on-call hours.

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. Advisory Services Financial Services Office – Financial Services Risk Management - FSRM – Credit Risk – Senior Consultant Description EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. FSO practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include: market, credit and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls. Within EY’s FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions that can help FSO clients to identify, measure, manage and monitor the market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management and other capital markets activities. Within FSRM, the Credit Risk (CR) team assists clients to design and implement strategic and functional changes and regulatory changes across risk management within the banking book portfolio. Clients include large domestic and global financial institutions and banking organizations. Key Responsibilities Demonstrate deep technical capabilities and industry knowledge of financial products, in particular lending products Understand 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 Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes Play an active role in mentoring junior consultants within the organization Required to review, analyse and concur with tasks completed by junior staff Flexibility to work across projects involving model audits, validation and development activities Qualifications, Certifications And Education Must-have: Postgraduate (masters in accounting, finance, economics, statistics or a related field) with at least 3 years of related work experience Complete, end-to-end understanding of credit risk model development, validation, audit and/or implementation for the banking book portfolio. Knowledge of Credit Risk and Risk Analytics techniques is desirable. Should have hands on experience in data preparation, manipulation and consolidation. Strong background in regulatory requirements such as IFRS 9, CCAR, CECL within model development/validation/audit domain Expertise in Stress Testing/DFAST PD/LGD/EAD models Strong documentation skills. Required to be adept in quickly grasping key details and summarizing them in a presentation or document. Should be able to take initiative and work independently with minimal supervision, if required Strong background in statistics and econometrics. Specially- Logistic regression, Linear regression. Strong technical skills, highly proficient in Advanced Python (Pandas, Numpy, ScikitLearn, Object Oriented Programming, Parallel Processing), SAS (SAS Certified Preferred), SQL, R, excel Good-to-have: Certifications such as FRM, CFA, PRM, SCR Proficiency in Java/C++ Experience in Data/Business Intelligence (BI) Reporting Good to have knowledge in Machine Learning models and its applications. Willingness to travel to meet client needs Previous project management experience 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.

At Livello we building machine-learning-based demand forecasting tools as well as computer-vision-based multi-camera product recognition solutions that detects people and products to track the inserted/removed items on shelves based on the hand movement of users. We are building models to determine real-time inventory levels, user behaviour as well as predicting how much of each product needs to be reordered so that the right products are delivered to the right locations at the right time, to fulfil customer demand. Responsibilities Lead the CV and DS Team Work in the area of Computer Vision and Machine Learning, with focus on product (primarily food) and people recognition (position, movement, age, gender, DSGVO compliant). Your work will include formulation and development of a Machine Learning models to solve the underlying problem. You help build our smart supply chain system, keep up to date with the latest algorithmic improvements in forecasting and predictive areas, challenge the status quo Statistical data modelling and machine learning research. Conceptualize, implement and evaluate algorithmic solutions for supply forecasting, inventory optimization, predicting sales, and automating business processes Conduct applied research to model complex dependencies, statistical inference and predictive modelling Technological conception, design and implementation of new features Quality assurance of the software through planning, creation and execution of tests Work with a cross-functional team to define, build, test, and deploy applications Requirements Master/PHD in Mathematics, Statistics, Engineering, Econometrics, Computer Science or any related fields. 3-4 years of experience with computer vision and data science. Relevant Data Science experience, deep technical background in applied data science (machine learning algorithms, statistical analysis, predictive modelling, forecasting, Bayesian methods, optimization techniques). Experience building production-quality and well-engineered Computer Vision and Data Science products. Experience in image processing, algorithms and neural networks. Knowledge of the tools, libraries and cloud services for Data Science. Ideally Google Cloud Platform Solid Python engineering skills and experience with Python, Tensorflow, Docker Cooperative and independent work, analytical mindset, and willingness to take responsibility Fluency in English, both written and spoken. Skills:- Natural Language Processing (NLP), Computer Vision, TensorFlow, Docker, Forecasting, Predictive modelling, Image Processing, Algorithms and Machine Learning (ML)

The Specialized Analytics Sr Anlst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Excellent communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual. Responsibilities: Partner closely and manage interaction with Strategy partners and Model Risk Management validators across the model lifecycle including validation, ongoing performance evaluation, and annual reviews. Responsible for model development, validation and testing of fraud detection models, including statistical analysis, data validation and model performance evaluation. Conduct rigorous validation assessment for fraud model validation; develop and implement validation methodologies to assess model accuracy, robustness, and effectiveness. Ensure compliance with regulatory requirements and industry best practices in fraud detection and model validation. Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of advanced Machine Learning Models. Identifies and compiles data sets using a variety of tools (e.g. Hive, SQL) to help predict, improve, and measure the success of key business to business outcomes Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis, which may include utilizing statistical models / algorithms and data visualization technique. Specialization in fraud or risk domain preferred Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 8+ years of hands-on analytical experience 5+ years’ experience in statistical analysis with working knowledge of at least one of the following statistical software packages: Python (Must), Hive, Spark, SAS Strong quantitative, analytical, and problem-solving skills; knowledge of probability theory, statistics, mathematical finance, econometrics, numerical methods Strong understanding of statistical concepts and modelling techniques including traditional and advanced ML algorithms Strong proficiency in statistical analysis and model validation techniques. A solid grasp of traditional and advanced modeling techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests, etc. Expertise in model evaluation techniques such as ROC curves, precision-recall, KS, cross-validation, feature importance, SHAP values, etc. Familiarity with regulatory requirements and guidelines related to risk model validation. Strong communication and interpersonal skills; experience with Stakeholder management Strong project management and organizational skills; ability to multi-task and meet deadlines. Ability to work independently. Risk and control mindset: ability to ask incisive questions, assess materiality and escalate issues. Ability to handle large volumes of transactional data. Familiarity with data extraction tools like Hive will be an advantage. Successful candidate will have a demonstrable analytical problem solving, and the ability to deliver projects in a fast-paced environment. Willing to learn and can-do attitude. Education: Master’s/Bachelor’s/PhD degree in Statistics, Economics, Finance, Mathematics or a related quantitative field; Engineering/MBA background from a premier institute This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Specialized Analytics (Data Science/Computational Statistics) ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. Job Description Verizon is a global leader in technology and communications, relentlessly innovating to transform how we connect and drive positive change through enhanced customer-centricity, collaboration, and innovation. We are building an organization focused on value creation by accelerating efficiencies, expanding our network superiority, and growing our customer base. The Verizon Global Services (VGS) organization is pivotal, centralizing key functions to strategically deliver services across all business groups and centers of excellence, ensuring seamless and efficient business processes through a holistic partner ecosystem. The Strategy and Transformation team within VGS plays a critical role in defining organizational strategy, enabling cross-functional transformation, and facilitating service delivery. We focus on optimizing end-to-end customer and employee experiences. We challenge the status quo, look beyond the horizon, and strive to make the future a reality. Together, we are moving the world forward – and you can too. Dream it. Build it. Do it here. What you’ll be doing As a key member of the VGS Strategy team, you will be instrumental in driving strategic initiatives that deliver significant business value, enhance efficiency, and foster operational and process excellence across VGS and Verizon. You'll lead the transformation approach to achieve VGS goals for 2025 and build the opportunity backlog for sustainable business value beyond 2026 through robust business planning. You'll be responsible for creating transparency by industrializing financial and portfolio processes within VGS, aiming for significant savings and identifying re-investment opportunities to create value across Verizon. This includes managing the end-to-end demand process, leading strategic and operational transformation initiatives, and developing detailed financial models to support strategic planning and investment decisions. Your role will also involve institutionalizing operational reviews, matrix management, and effective planning and governance processes to ensure the achievement of the VGS OKR dashboard. You will drive process excellence by creating a backlog of improvement opportunities, pursuing at least two in 2025, and leading re-engineering efforts with S&T process experts to elevate team impact and ensure seamless customer and employee experiences. You'll champion data-driven decision-making, ensuring analytics lead to continuous business improvements and more profitable growth. What we’re looking for We are seeking an inspiring and results-oriented Senior Manager with a strong background in business transformation, strategy execution, and data-driven decision making. You are adept at leveraging quantitative analysis to solve complex business challenges, capable of visualizing strategic objectives while meticulously breaking them down into actionable components. You believe that data underpins optimal decisions and excel at extracting key insights from datasets. Your ability to communicate complex analytical findings in a clear, concise, and practical manner will be crucial for influencing senior leadership and fostering a culture of data-driven improvements. You are a proactive leader who anticipates risks, builds strong relationships, and motivates cross-functional teams to achieve ambitious goals. Where you'll be working… In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. You’ll Need To Have Bachelor's degree or six or more years of experience. Six or more years of relevant experience, demonstrated through a combination of work and specialized training, with a strong focus on business transformation, strategy, and operational improvement. Bachelor’s degree in Math, Statistics, Physics, Engineering, Computer Science, Econometrics or Science Graduate with Maths or Statistics specialization and a Post Graduate Diploma or Master's degree in Business Administration. Extensive experience with quantitative modeling, statistics, or data mining. Proven experience in market research and analysis. Proficiency with visualization software such as Qlikview, Tableau, or Excel. Excellent presentation and articulation skills, demonstrating strong analytical and critical thinking abilities. Demonstrated ability to influence stakeholders and achieve desired results through compelling, data-backed narratives and factual presentations. Ability to translate complex ideas and express them in concise, easily understandable ways for diverse audiences. Proven experience in managing large cross-functional projects, including strategy development, initiative planning, work plan creation, timeline management, and goal setting to ensure stakeholder and VGS commitments are met. Even better if you have one or more of the following: Master's degree or PhD in Operations Research, Industrial Engineering, Statistics, Economics, or a related field. Broad financial acumen, including knowledge of valuation methodologies and the ability to develop sophisticated financial models. Strong analytical and creative problem-solving skills, combined with hands-on experience in SQL, scripting/statistical programming languages (Python, R, etc.), and advanced visualization software tools. Understanding of advanced statistical methods, machine learning principles, and cloud architecture. Intellectual curiosity and a passion for technology-backed, transformative industries. Experience handling confidential information in accordance with industry standards. Experience in designing and leading proof-of-concept and/or pilot engagements with technology and business partners. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 0 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.