775 Econometrics Jobs - Page 9

Management Level Senior Manager & Summary At PwC, our people in strategy consulting focus on providing strategic guidance and insights to organisations. They analyse market trends, assess business performance, and develop recommendations to help clients achieve their goals. These individuals work closely with clients to identify opportunities for growth, optimise operations, and enhance overall business performance. In technology strategy at PwC, you will specialise in developing and implementing strategic plans to leverage technology for business growth and innovation. You will analyse market trends, assess organisational needs, and provide guidance on technology investments and initiatives. Working in this area, you will collaborate with stakeholders to align technology strategies with overall business objectives to increase utilisation of technology resources, driving competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . & Summary Responsibilities Support the team in technical execution of projects involving financial sector development across different geographies in Asia and Africa while working with bilateral and multilateral institutions Provide subject matter consulting inputs in matters related to banking and financial services including central banking Support the team in execution of projects in suitable roles/ capacities, with focus on financial sector (e.g Stress testing, risk management, liquidity analyses, amongst others) Support the team in varied business development activities, with focus on (but not limited to) financial sector Should be flexible in approach and demonstrate the ability to pick up new skills and knowledge that may involve working with other regulators in the FS space and support the team on need basis on matters related to public financial management, Minimizing Regulatory Compliance Burden (MRCB), Cost of Regulations (CoR) etc Strong client management skills Need to demonstrate a general enterprising attitude about work should be quick to spot opportunities and guide team members in their technical execution. Should be a very strong team player. Should be willing and flexible to undertake travel in project locations Demonstrate courage & integrity Be curious Learn, Relearn, Share & Mandatory skill sets Fluency in English language reading/ speaking/ writing; any additional language will be an asset Strong report writing and data analytic skills (proficiency in MS Excel is a minimum, however it would be an asset to have proficiency in additional tools, such as R/ STATA/ SPSS) Proficiency in data visualization tools and processes Preferred skill sets Experience of working in organizations offering similar scope and job description Educational degree from a foreign institution (especially from an institution at Singapore, USA, UK with high QS ranking) will be strongly preferred Years of experience required 12+ Education qualification Masters Degree in Economics (with focus on Statistics and Econometrics)/ CA/ CFA, having consistent superlative academic performance Education Degrees/Field of Study required Master Degree Degrees/Field of Study preferred Required Skills BusinesstoBusiness (B2B) Business Development Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Analytics Strategy, Architecture Development, Business Architecture, Business Model Innovation, Business Transformation, Cloud Computing, Coaching and Feedback, Commercial Strategies, Communication, Creativity, Digital Customer Experience, Digital Strategies, ECommerce, Embracing Change, Emotional Regulation, Empathy, Implementing Technology, Inclusion, Influence, Information Technology Applications, Intellectual Curiosity {+ 19 more} No

"myCareer1" class="modal fade" role="dialog" style="padding:0 !important"> Senior Analyst (Economist) The Senior Analyst will be involved in macroeconomic and financial modelling for the Indian economy, within the Mitigation domain of the Climate, Environment, and Sustainability sector. The candidate will work at the intersection of climate science, energy systems engineering, and economics. The candidate will also contribute to the development, calibration, and application of integrated energy-macroeconomic models combining various relevant modelling methodologies to assess the macro-financial impacts of climate policy in India and determine how best to fund the clean energy transition. The role will involve contributing to national climate strategies using CSTEPs SAFARI model, presenting at leading national and international forums (e.g., COP), gaining visibility through media and academic publications, and engaging directly with senior government officials. Responsibilities Develop and implement macroeconomic models to analyse the interactions between the real economy, financial sector, and climate policy interventions. Construct and maintain accounting matrices (balance sheets, transaction flow matrices, etc) and ensure rigorous stock-flow consistency in all modelling exercises. Explore the behaviour of different macroeconomic sectors (e.g. households, firms, government, and financial institutions), assess the factors affecting their decision-making, and formalise the insights for incorporating into the model based on empirical data and relevant economic theory. Integrate real and financial sector dynamics, including multiple financial assets/liabilities and sectoral feedback, within the modelling framework. Simulate policy scenarios, shocks, and alternative possible worlds and analyse results to inform climate and economic policy. Communicate complex modelling results and policy implications to technical and non-technical audiences. Communicate with external agencies for data requests; scan websites of government agencies and economic institutions to keep track of the latest developments/announcements in macroeconomic policy and database publications. Engage with national and international experts to reinforce macroeconomic modelling capacity and enhance collaborative learning. Perform outreach duties by conducting stakeholder consultations on modelling analyses. Qualifications MA/MSc in Economics, Environmental Economics, Ecological Economics, Macroeconomics, or Financial Economics, with a strong foundation in applied macroeconomics and 4 years of experience, or PhD in similar fields Experience At least 4 years of hands-on experience working with different types of macroeconomic models and datasets typically used in them Skill Set Essential: Strong quantitative and analytical skills, with prior modelling experience Applied knowledge in Environmental Economics, Energy Economics, Macroeconomics, or Econometrics Experience conducting extensive literature reviews Ability to synthesise and interpret large datasets Critical thinking skills, with the ability to systematically interpret data and contribute to innovative research methodologies Working knowledge of at least one programming language preferably Julia, Mathematica, or R Good understanding of climate finance and development economics Ability to work independently, while being open to collaboration and learning in a respectful, team-oriented environment Ability to manage multiple projects efficiently Good working knowledge of Microsoft Office Suite (Word, Excel, PowerPoint) A strong sense of curiosity to explore new frontiers in modelling and research, along with the independence to drive your own ideas Excellent communication skills Preferred: Experience working with computable general equilibrium (CGE) models Experience with system dynamics or agent-based modelling, preferably using Stella or Vensim Location Bengaluru How to apply

About Central Square Foundation (CSF) Founded in 2012, Central Square Foundation is a non-profit philanthropic foundation working with the vision of ensuring quality school education for all children in India. CSF has a mission focused on ensuring high-quality foundational learning for all children in India. To achieve this, we partner with individuals and social impact organizations to bring innovative solutions in education to build the capacity of the government to drive systemic impact. To learn more about us and our work, visit www.centralsquarefoundation.org. About the Research, Monitoring, Evaluation, Assessment and Learning (RMEAL) team CSF’s endeavour is to transform the school education system in India and advance children’s learning outcomes, especially for those from vulnerable socio-economic backgrounds. The RMEL practice undertakes a range of research and M&E activities to understand the ‘what works’ and ‘why it works’ elements of driving systems improvement and impact. Intending to generate evidence to strengthen education programs and policy, the team provides technical support to other verticals within CSF as well as oversight on third-party research studies. CSF’s Research and M&E team is deeply engaged, advised, and mentored by renowned experts like Luis Crouch (Chief Technical Officer, RTI International), Ben Piper (Sr. Director, RTI International), Karthik Muralidharan (Chair, JPAL S.Asia), Asiya Kazmi (Global Education Policy Lead, Bill and Melinda Gates Foundation). The Project Manager will join a high-caliber leadership team with collective experience working in both corporate and development sector organizations like BCG, IFMR, J-PAL, IGC, NITI Aayog, and National Skill Development Corporation. Position Summary The Project Manager (RMEAL) will serve as a critical enabler across team functions and support peers and senior members in operationalizing the team’s strategy. The role will primarily focus on the Foundational Literacy and Numeracy (FLN) portfolio, with regular contributions to the Ed-tech, Early Childhood, and School Governance portfolios. The candidate will work with experimental, quasi-experimental, and non-experimental research designs to support evidence generation and its use in improving program implementation. This work will also contribute to broader knowledge building within the education ecosystem. Professional Development & Growth: At CSF, we value continuous learning and professional growth. The Project Manager will receive mentorship from senior leaders and access to high-impact projects across verticals. The role offers opportunities to deepen technical expertise in evaluation design, data analytics, and education systems. High performance in this role can lead to progression into senior positions within CSF or the wider development and policy ecosystem. The skills built in the role will be directly relevant for careers in the development sector, industry, and academia. Roles & Responsibilities Research, Monitoring & Evaluation: Identify, advise on and draft appropriate research designs - with support of Project Lead or Senior Project Manager - spanning quantitative and qualitative research, and taking into account the research objectives and operational feasibility. Support conceptualization and design of monitoring frameworks (including tools and processes) that can be adopted by CSF verticals, partner organisations, and government bodies. Contributing to the execution of rigorous quantitative and qualitative evaluations to understand the impact of our programs on improving student learning and other pathways to change. Working on evaluation activities including devising Theories of Change, undertaking tool development, training for and management of data collection, and mixed-methods data analysis Undertake Data Analysis and Assimilation: Quantitative and qualitative data analysis, secondary research, synthesis of findings and insights, and report writing Essential Skills and Qualifications A Bachelor’s degree in a relevant field such as economics, public policy, education, or a related discipline is required. A Master’s degree with coursework in research methods is preferred. However, we strongly encourage candidates without formal academic qualifications but with demonstrated understanding and experience in research methods to apply. 3 - 5 years of relevant professional experience in monitoring and evaluation (M&E), public policy or research, at a development consulting/impact evaluation firm, think tank, or implementing agency. Experience with ed-policy and education-related research, particularly in India, is an advantage. Strong skills in quantitative research and data analysis, with working knowledge of social science statistics or econometrics. Experience with qualitative methodologies (e.g., thematic coding), educational assessments (e.g., psychometrics, Item Response Theory) and/or large scale assessments is desirable. independently conduct data cleaning, analysis, and basic statistical modeling. Familiarity with Microsoft Excel for data manipulation and PowerPoint for research communication is expected. Experience with data collection platforms (e.g., SurveyCTO, Tangerine) and qualitative analysis tools (e.g., NVivo, Dedoose) is an added advantage. Ability to interpret complex research findings and data to draw actionable insights. Strong project delivery and interpersonal skills, including the ability to manage multiple projects and influence internal and external stakeholders, with support from senior team members. Desired: Strong demonstrated desire to upskill in quantitative and qualitative research methods. Strong action-bias, influencing & and communication skills - the ability to synthesize technical insights into actionable steps. Passion for making a scaled impact in education and belief in the possibility of foundational learning for all children Willingness to adapt to the dynamic nature of work and travel to project locations (2-3 days a month on average). Prior understanding of and experience in FLN and related projects, especially in India, will be an advantage. Compensation Remuneration will be competitive with Indian philanthropy pay scales and will depend upon the candidate’s experience levels.

Do you want to be on the leading edge of using big data and help drive engineering and product decisions for the biggest productivity software on the planet? Office Product Group (OPG) has embarked on a mission to delight our customers by using data-informed engineering to develop compelling products and services. OPG is looking for an experienced professional with a passion for delivering business value with data insights and analytics to join our team as a Data & Applied Scientist. We are looking for a strong Senior Data Scientist with a proven track record of solving large, complex data analysis problems in a real-world software product development setting. Ideal candidates should be able to take a business or engineering problem from a Product Manager or Engineering leader and translate it to a data problem. This includes all the steps to identify and deeply understand potential data sources, conduct the appropriate analysis to reveal actionable insights, and then operationalize the metrics or solution into PowerBI dashboards. You will be delivering results through innovation and persistence when similar candidates have given up. 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. Responsibilities Dashboard Development and Maintenance: Design, build, and maintain interactive dashboards and reports in PowerBI to visualize key business metrics and insights. Work closely with stakeholders to understand their data visualization needs and translate business requirements into technical specifications. Data Extraction and Analysis: Perform ad-hoc data extraction and analysis from various data sources, including SQL databases, cloud-based data storage solutions, and external APIs. Ensure data accuracy and integrity in reporting and analysis. Deliver high impact analysis to diagnose and drive business critical insights to guide product and business development. Metric Development and Tracking: Be the SME who understand landscape of what data (telemetry) are and should be captured Advice feature teams on telemetry best practices to ensure business needs for data are met. Collaborate with product owners and other stakeholders to define and track key performance indicators (KPIs) and other relevant metrics for business performance. Identify trends and insights in the data to support decision-making processes. User Journey and Funnel Analysis: Assist product owners in mapping out user journeys and funnels to understand user behavior and identify opportunities for feature improvement. Develop and implement ML models to analyze user journeys and funnels. Utilize a variety of techniques to uncover patterns in user behavior that can help improve the product. Forecasting and Growth Analysis: Support the forecasting of key results (KRs) and growth metrics through data analysis and predictive modeling. Provide insights and recommendations to help drive strategic planning and execution. Qualifications Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techn OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec OR equivalent experience. 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience. Preferred Qualifications: 7+ years of experience involving programming with languages Python/R and hands on experience using technologies such as SQL, Kusto, Databricks, Spark etc. 7+ years of experience working with data exploration and data visualization tools like PowerBI or similar. Candidate must be able to communicate complex ideas and concepts to leadership and deliver results. Candidate must be comfortable in manipulating and analyzing complex, high dimensional data from varying sources to solve difficult problems. Bachelors or higher degrees in Computer Science, Statistics, Mathematics, Physics, Engineering, or related disciplines. Microsoft is an equal opportunity employer. Consistent with applicable law, 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.

Job Description: About us* At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview* Stress Testing & Forecasting Analytics team sits within the CFO Organization and is aligned to support Global Markets Business. Stress Testing & Forecasting Analytics team is responsible for executing quarterly stress and baseline forecasts across various businesses within Global Markets. The team is also responsible for developing and maintaining the forecasting models. The team needs to engage with senior stakeholders across the firm to conduct review and challenge meetings on quarterly basis with respect to the forecast results. The data and infrastructure needed for the forecast process is also owned by the team. There is high regulatory involvement given the key role the team performs in the CCAR process, Recovery and Resolution Planning, Stress loss forecasting etc. Job Description* (Provide a high level overview of the role and scope of responsibilities) We are looking for a seasoned individual who is technically strong and has worked in a similar stress testing/forecasting role preferably in a large global bank. The position requires the person to have a deep understanding of modeling/econometric forecasting (R coding knowledge is preferable) along with understanding of all the different trading desks, their risk profiles and revenue generation mechanism. The person should have a good knowledge of econometrics and other quantitative forecasting techniques in addition to good knowledge of the regulatory framework such as CCAR, Recovery and Resolution planning (RRP) etc. This role will involve facing off with very senior stakeholders in Global Finance, Front office and Risk globally in addition to engagement with senior management at GBS. Additionally, given the regulatory focus in this area, the person would have very strong communication and leadership skills. Responsibilities* Build and maintain quantitative and qualitative forecasting models for various global markets businesses as needed Own all the inputs that go into regulatory submissions such as CCAR, Recovery and Resolution Planning from a GBS perspective for specific desks/businesses Identify areas of process improvement and coordinate the execution of the same Ensure the integrity of the data and infrastructure that the global Stress testing team relies on for the quarterly forecast process Requirements* Education* Qualified PhD/MBA/Masters in a Quantitative Field from Tier I/II institute with relevant experience in Stress Testing and Forecasting Analytics in Global Markets environment and organization of similar scale Certifications If Any CFA / FRM certified candidates would be preferred Strong Programming Knowledge (R or Python) would be a plus Experience Range* 4+ years with at least 2+ years’ experience in Global Markets Stress Testing/Forecasting Analytics role Foundational skills* 4+ years of Banking and Financial Services experience with extensive knowledge of working in a Global Markets environment Should have good understanding of financial markets, Derivatives & financial products across all asset classes -their valuation, risk etc. Strong quantitative modeling skills and programming skills Line experience coupled with a demonstrated ability to lead technology-based change Proven experience of providing thought leadership to overcome challenges and lead without direct authority Strong verbal and written communication skills, and the personal ability to collaborate, operate, and communicate effectively with a culturally diverse group of peers and colleagues. Demonstrated ability to work in a global matrix organization and significantly multi-geography, multi-cultural offshore service delivery environment. Desired Skills R/Alteryx/Python/Tableau knowledge would be an added advantage with the most relevant being R Must be proactive and be a highly-motivated self-starter Takes initiative and challenges existing processes and procedures in a proactive manner Ability to analyze issues independently and drive solutions Analytical skills Work Timings* 12:00 PM IST to 21:00 PM IST Job Location* Hyderabad/Mumbai

Job Description: About us* At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview* Stress Testing & Forecasting Analytics team sits within the CFO Organization and is aligned to support Global Markets Business. Stress Testing & Forecasting Analytics team is responsible for executing quarterly stress and baseline forecasts across various businesses within Global Markets. The team is also responsible for developing and maintaining the forecasting models. The team needs to engage with senior stakeholders across the firm to conduct review and challenge meetings on quarterly basis with respect to the forecast results. The data and infrastructure needed for the forecast process is also owned by the team. There is high regulatory involvement given the key role the team performs in the CCAR process, Recovery and Resolution Planning, Stress loss forecasting etc. Job Description* (Provide a high level overview of the role and scope of responsibilities) We are looking for a seasoned individual who is technically strong and has worked in a similar stress testing/forecasting role preferably in a large global bank. The position requires the person to have a deep understanding of modeling/econometric forecasting (R coding knowledge is preferable) along with understanding of all the different trading desks, their risk profiles and revenue generation mechanism. The person should have a good knowledge of econometrics and other quantitative forecasting techniques in addition to good knowledge of the regulatory framework such as CCAR, Recovery and Resolution planning (RRP) etc. This role will involve facing off with very senior stakeholders in Global Finance, Front office and Risk globally in addition to engagement with senior management at GBS. Additionally, given the regulatory focus in this area, the person would have very strong communication and leadership skills. Responsibilities* Build and maintain quantitative and qualitative forecasting models for various global markets businesses as needed Own all the inputs that go into regulatory submissions such as CCAR, Recovery and Resolution Planning from a GBS perspective for specific desks/businesses Identify areas of process improvement and coordinate the execution of the same Ensure the integrity of the data and infrastructure that the global Stress testing team relies on for the quarterly forecast process Requirements* Education* Qualified PhD/MBA/Masters in a Quantitative Field from Tier I/II institute with relevant experience in Stress Testing and Forecasting Analytics in Global Markets environment and organization of similar scale Certifications If Any CFA / FRM certified candidates would be preferred Strong Programming Knowledge (R or Python) would be a plus Experience Range* 4+ years with at least 2+ years’ experience in Global Markets Stress Testing/Forecasting Analytics role Foundational skills* 4+ years of Banking and Financial Services experience with extensive knowledge of working in a Global Markets environment Should have good understanding of financial markets, Derivatives & financial products across all asset classes -their valuation, risk etc. Strong quantitative modeling skills and programming skills Line experience coupled with a demonstrated ability to lead technology-based change Proven experience of providing thought leadership to overcome challenges and lead without direct authority Strong verbal and written communication skills, and the personal ability to collaborate, operate, and communicate effectively with a culturally diverse group of peers and colleagues. Demonstrated ability to work in a global matrix organization and significantly multi-geography, multi-cultural offshore service delivery environment. Desired Skills R/Alteryx/Python/Tableau knowledge would be an added advantage with the most relevant being R Must be proactive and be a highly-motivated self-starter Takes initiative and challenges existing processes and procedures in a proactive manner Ability to analyze issues independently and drive solutions Analytical skills Work Timings* 12:00 PM IST to 21:00 PM IST Job Location* Hyderabad/Mumbai

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Position: Associate Industry: CPG & Retail Domain: Range of Analytics (Descriptive to Advanced) depending on the client problem About Acceleration Center Bangalore At PwC, we connect people with diverse backgrounds and skill sets to solve important problems together and lead with purpose—for our clients, our communities and for the world at large. It is no surprise therefore that 429 of 500 Fortune global companies engage with PwC. Acceleration Centers (ACs) are PwC’s diverse, global talent hubs focused on enabling growth for the organization and value creation for our clients. The PwC Advisory Acceleration Center in Bangalore is part of our Advisory business in the US. The team is focused on developing a broader portfolio with solutions for Risk Consulting, Management Consulting, Technology Consulting, Strategy Consulting, Forensics as well as vertical specific solutions. PwC's high-performance culture is based on passion for excellence with a focus on diversity and inclusion. You will collaborate with and receive support from a network of people to achieve your goals. We will also provide you with global leadership development frameworks and the latest in digital technologies to learn and excel in your career. At the core of our firm's philosophy is a simple construct: We care for our people. Globally PwC is ranked the 3rd most attractive employer according to Universum. Our commitment to Responsible Business Leadership, Diversity & Inclusion, work-life flexibility, career coaching and learning & development makes our firm one of the best places to work, learn and excel. We are looking for experienced professionals with a strong data science background (and overall data science experience of 4+ years) to work in our Analytics Consulting practice in Mumbai and Bangalore. Senior Associate’s will work as an integral part of business analytics teams in India alongside clients and consultants in the U.S., leading teams for high-end analytics consulting engagements and providing business recommendations to project teams. Education: Advanced Degree in quantitative discipline such as Computer Science, Engineering, Econometrics, Statistics, Operations Research or Information Sciences such as business analytics or informatics. Required Skills: Successful candidates will have demonstrated the following skills and characteristics - Must-Have (Senior Associate - CPG & Retail Analytics) Hands-on experience with CPG & Retail data assets such as point-of-sale (POS) transactions, loyalty-program histories, syndicated panel data (NielsenIQ, Circana/IRI, Kantar), e-commerce clickstream, and supply-chain sensors/IoT. Deep understanding of predictive modeling for purchase propensity, demand forecasting, promotion uplift, assortment, and customer lifetime value in omnichannel retail environments. Proficiency in machine learning techniques—classification, regression, clustering, recommendation engines, and advanced time-series forecasting applied to sales and inventory data. Strong command of statistical methods including A/B & multivariate testing, price-elasticity modeling, market-basket analysis, segmentation, and causal-impact evaluation. Expert programming in Python or R, plus SQL with retail-specific data-wrangling libraries (pandas, dbt) across cloud warehouses (BigQuery, Redshift, Synapse). Hands on BI fluency in developing interactive visualizations in Power BI, Tableau, or Looker that turn SKU-level data into actionable stories for category, trade-marketing, and supply-chain teams. Exposure to big data & real-time analytics stacks used in retail (Spark, Kafka, Delta Lake, Snowflake Streaming, Google Vertex AI). Ability to translate insights for merchandising, marketing, supply-chain, and store-operations stakeholders—communicating clearly with both technical data teams and business leaders. Nice to have Exposure to ML engineering (Azure ML, AWS SageMaker, GCP Vertex AI) Experience blending retail-media impression/click logs with sales to calculate ROAS and incrementality, or to build MMM-lite dashboards for brand teams. Roles and Responsibilities Assist analytics projects within the CPG & Retail domain, driving design, development, and delivery of data science solutions Develop and execute on project & analysis plans under the guidance of Project Manager Interact with and advise consultants/clients in US as a subject matter expert to formalize data sources to be used, datasets to be acquired, data & use case clarifications that are needed to get a strong hold on data and the business problem to be solved Drive and Conduct analysis using advanced analytics tools and coach the junior team members Implement necessary quality control measures in place to ensure the deliverable integrity like data quality, model robustness, and explainability for deployments. Validate analysis outcomes, recommendations with all stakeholders including the client team Build storylines and make presentations to the client team and/or PwC project leadership team Contribute to the knowledge and firm building activities

Job Description Join our Multi-Asset Portfolio Solutions team as an Area Product Owner, where you'll play a pivotal role in shaping the future of product innovation. Drive value for customers, guide successful launches, and exceed expectations as a core leader. Collaborate directly with the business to enhance revenue, reduce costs, mitigate risks, and improve processes. As an Area Product Owner in the Multi-Asset Portfolio Solutions team, you will be an integral part of the Multi-Asset Portfolio Solutions team, supporting Fund and Portfolio Management Toolkit function through shaping the future of product innovation as a core leader. You are responsible for driving the direction of the platform, maintaining a Product Cabinet, and prioritizing decisions made for the platform. The Product work has substantial impact across the business/firm and is geared towards revenue enhancement, cost reduction, risk mitigation, process improvement, increasing reach for insights, or other priorities as defined by management. Job Responsibilities Own the product’s vision and execute your strategy to realize it, while rigorously applying product best practices to stay abreast of the latest market and technology opportunities. Complement a strong product intuition with data-informed evidence to actively manage the product backlog in an agile development environment. Critically evaluate data, information, ideas, and arguments when determining what should be built, and describe what is needed with well-written stories. Assist in the end-to-end development of Fund Management Toolkit and facilitating its integration with Portfolio Manager Toolkit. Develop and validate the methodologies for post trade data analysis and enhance the with appropriate data load. Facilitate the new fund launch in line with strategic objectives, while enhancing the intra system component integration viz. Exposures, PTS, Capacity, SAA etc. Incorporate existing tactical tools utilized by PMs on organizational platforms to develop long term strategic solutions. Drive data quality testing and improvement efforts across the Due Diligence platform. Distill insights from data across diverse users, business, and industry sources. Set motivating objectives for the business and your team with well-designed OKRs that measure success by the business outcomes your product achieves. Drive committed partnerships with your business stakeholders, Engineering, Design, and Product peers. Required Qualifications, Capabilities, And Skills Graduate / post-graduate, with a minimum of 10+ years of experience in Banking / Financial Services of which at least 5 years are as a hands-on product manager with demonstrable experience in agile product practices throughout the product lifecycle. Possesses a strong background in econometrics and analytics, with expertise in managing and analyzing complex data sets. Experience in statistical analysis and testing toolsets Familiarity with Product ownership model including project planning, Jira story writing, resource management, requirements management (elicitation, documentation, prioritization, etc.), process mapping, process design, procedure authoring, org design, capacity sizing, etc. High data literacy including data collection, synthesis, and translation of results into concrete actionable solutions. Organized and effective execution – work independently, set, and manage expectations, model work ethic, proactively manage efforts across multiple teams, rigorously communicate. Excellent documentation, analytical, and reasoning skills (e.g., adheres to best practices in meeting management, regularly completes tasks and conducts business with minimal supervision). Applies innovation and design thinking techniques to continually challenge and improve the efficiency, scale, and resilience of our platform. Ability to thrive and drive change in fast paced, complex agenda. Preferred Qualifications, Capabilities, And Skills Familiarity with at least one programming language (i.e., Python or Java). Proficiency in MySQL or GraphQL is preferred. Subject matter expert within Multi-Asset Portfolio Solutions or Portfolio Management Toolkit. Certified Scrum Product Owner (CSPO) certification preferred. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

: The ideal candidate would be adept at understanding customers business challenges and define appropriate analytics approach to design solution Should be able to convert mathematical/ statistics-based research/ academic literature into sustainable data science solutions This is a hands-on role, will be required to manage day to day delivery activities in executing analytics projects by analysing large volume of data Should have familiarity on solutions in core functional areas related to Promotion Effectiveness, Digital Marketing, Customer Relationship Management (CRM), Campaign Management & Data Insights etc. Evolve the approach for the application of machine learning/deep learning to existing program and project disciplines He / She would also be responsible for creating Business & technical presentations, reports etc. to present the analysis findings to the end clients and for business development This role requires excellent communication skills .Must Have: Hands on experience in exploratory data analysis, A/B testing, Campaign Measurement and model building (end to end), customer Analytics, Loyalty and Promotions1-2 years in hospitality industry Tools: Databricks, Python, SQL, Experience on AWS platforms/Azure Excellent communication skills, both oral and written.Functional/Domain Experience:Good exposure to hospitality industry and their datasets Relevant Experience: 5+years of hands-on experience in Data Science Qualifications Educational Criteria:Masters in Statistics / Mathematics / Economics / Econometrics from Tier 1 institutions OrMBA from Tier 1 institutions Preferred

Job Title Sr. Data and AI Engineer Job Description Your role: Analyzes complex datasets to identify key trends, patterns, and potential data quality issues that could impact model performance or downstream analytics, working under general supervision. Develops and implements efficient data pipelines to extract, transform, and load data from various sources, ensuring data integrity, consistency, and adherence to data governance standards. Deploys machine learning and AI models in production environments and develops approaches for AI DevOps, adhering to best practices for security, scalability, and model explainability which may involve containerization and orchestration for robust deployments. Monitors and maintains data pipelines and AI models, proactively identifying and resolving performance bottlenecks or potential issues to ensure continuous functionality and optimal model performance. Documents data pipelines, models, and processes thoroughly, ensuring clarity, maintainability, and effective knowledge transfer within the team. This documentation should be tailored for both technical and non-technical audiences. Troubleshoots data quality problems, performs root cause analysis to identify the source of data quality issues and collaborate with data scientists to design and implement effective solutions. Communicates effectively technical findings and insights to both technical and non-technical audiences, tailoring communication style and detail level to the specific audience. Learns and adapts skillset by staying up-to-date on the latest advancements in data engineering and AI technologies, explores new tools and techniques to improve ability to deliver efficient and impactful data solutions. Works with business teams to understand their data needs and challenges and collaborates with data scientists to translate those needs into well-defined technical requirements and actionable data solutions. Supports data scientists throughout the entire AI lifecycle by preparing data for analysis, building and optimizing data infrastructure for specific needs, and automating data workflows to streamline the model development process. Minimum required Education: Bachelors / Masters Degree in Computer Science, Information Management, Data Science, Econometrics, Artificial Intelligence, Applied Mathematics, Statistics or equivalent. Minimum required Experience: Minimum 2 years of experience with Bachelors in areas such as Data Handling, Data Analytics, AI Modeling or equivalent OR no prior experience required with Masters Degree. Preferred Experience: 10 years + Experience in using programming languages such as Python, R, JAVA, C/C++ Preferred Certification: Artificial Intelligence Board of America (ARTiBA) certified How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. this role is an office role.

Main Purpose: • Data engineering - Source data from internal system sources and external (public/private) sources, using data pipelines or automations • Data science & risk modelling - Develop risk models / algorithm for calculating credit scoring of clients, credit loss, simulating stress scenarios and LLM models to aide credit risk assessment • Risk Reporting & Visualization - Develop risk reports and dashboards for credit risk officers to analyse and monitor risks in their portfolio • Data governance - Organise and document data attributes, process and procedures • Infrastructure management - Collaborate with internal technology teams to analyse impact on data due to infrastructure changes • To understanding trade Life Cycle – work closely with key departments across the organization, including Accounting, Trade Finance, Operations, and Deal Desk (amongst others) to understand data throughout the trade life cycle Knowledge Skills and Abilities, Key Responsibilities: Bachelor’s degree in computer science, Finance, Mathematics, Statistics, or related field 3-5 years of experience in data engineering, data science, or similar technical role Proficiency in SQL and database management systems Strong programming skills in Python, R, or similar languages for statistical analysis and machine learning Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch) Knowledge of statistical modeling, econometrics, and risk management methodologies Experience with ETL/ELT tools and data pipeline frameworks Familiarity with Large Language Models and Natural Language Processing techniques Experience with data visualization tools (Tableau, Power BI, or similar) Excellent English verbal and written communication Key Responsibilities: Data Engineering: Design, build, and maintain robust data pipelines to source data from internal system sources and external public/private data providers Develop automated data ingestion processes to ensure timely and accurate data flow Implement data quality controls and monitoring systems to maintain data integrity Data Science & Risk Modelling: Develop and maintain sophisticated risk models and algorithms for calculating client credit scores Build predictive models for credit loss estimation and expected credit loss calculations Design and implement stress testing scenarios to evaluate portfolio resilience under adverse conditions Create and deploy Large Language Model (LLM) solutions to enhance credit risk assessment processes Risk Reporting & Visualization: Develop comprehensive risk reports and interactive dashboards for credit risk officers Create visualization tools that enable effective portfolio risk analysis and monitoring Data governance: Organise and document data attributes, process and procedures Infrastructure management: Collaborate with internal technology teams to analyse impact on data due to infrastructure changes Trade Life Cycle: Work closely with key departments across the organization, including Accounting, Trade Finance, Operations, and Deal Desk (amongst others) to understand data throughout the trade life cycle Key Relationships Global Credit team, risk technology, data scientist, Other internal departments (accounts, treasury, trade finance, operations etc) Key Relationships and Department Overview: Global Credit team, Head of Operation Risk Management, Other internal departments (accounts, treasury, trade finance, operations etc)

Senior Data & Applied Scientist Noida, Uttar Pradesh, India Date posted Jul 14, 2025 Job number 1844835 Work site Microsoft on-site only Travel None Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview Do you want to be on the leading edge of using big data and help drive engineering and product decisions for the biggest productivity software on the planet? Office Product Group (OPG) has embarked on a mission to delight our customers by using data-informed engineering to develop compelling products and services. OPG is looking for an experienced professional with a passion for delivering business value with data insights and analytics to join our team as a Data & Applied Scientist. We are looking for a strong Senior Data Scientist with a proven track record of solving large, complex data analysis problems in a real-world software product development setting. Ideal candidates should be able to take a business or engineering problem from a Product Manager or Engineering leader and translate it to a data problem. This includes all the steps to identify and deeply understand potential data sources, conduct the appropriate analysis to reveal actionable insights, and then operationalize the metrics or solution into PowerBI dashboards. You will be delivering results through innovation and persistence when similar candidates have given up. 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: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techn OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec OR equivalent experience. 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience. Preferred Qualifications: 7+ years of experience involving programming with languages Python/R and hands on experience using technologies such as SQL, Kusto, Databricks, Spark etc. 7+ years of experience working with data exploration and data visualization tools like PowerBI or similar. Candidate must be able to communicate complex ideas and concepts to leadership and deliver results. Candidate must be comfortable in manipulating and analyzing complex, high dimensional data from varying sources to solve difficult problems. Bachelors or higher degrees in Computer Science, Statistics, Mathematics, Physics, Engineering, or related disciplines. Responsibilities Dashboard Development and Maintenance: Design, build, and maintain interactive dashboards and reports in PowerBI to visualize key business metrics and insights. Work closely with stakeholders to understand their data visualization needs and translate business requirements into technical specifications. Data Extraction and Analysis: Perform ad-hoc data extraction and analysis from various data sources, including SQL databases, cloud-based data storage solutions, and external APIs. Ensure data accuracy and integrity in reporting and analysis. Deliver high impact analysis to diagnose and drive business critical insights to guide product and business development. Metric Development and Tracking: Be the SME who understand landscape of what data (telemetry) are and should be captured Advice feature teams on telemetry best practices to ensure business needs for data are met. Collaborate with product owners and other stakeholders to define and track key performance indicators (KPIs) and other relevant metrics for business performance. Identify trends and insights in the data to support decision-making processes. User Journey and Funnel Analysis: Assist product owners in mapping out user journeys and funnels to understand user behavior and identify opportunities for feature improvement. Develop and implement ML models to analyze user journeys and funnels. Utilize a variety of techniques to uncover patterns in user behavior that can help improve the product. Forecasting and Growth Analysis: Support the forecasting of key results (KRs) and growth metrics through data analysis and predictive modeling. Provide insights and recommendations to help drive strategic planning and execution. 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.

The Lead Data Scientist in this team would have to be passionate about innovating and developing machine learning and data analytics solutions to build our industry-leading map. We provide the opportunity to collaborate with an energetic and dedicated team that works on cutting-edge technology to create tools and services. The candidate will work with researchers, developers, architects, IT to develop, deploy, and maintain applications in multiple environments. Responsibilities: Help design and build the next iteration of process automation in HERE Core Map processes employing a highly scalable Big Data infrastructure and machine learning as applied to global-scale digital map-making. Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-making data decisions and system control needs. Act as an expert and evangelist in areas of data mining, machine learning, statistics, and predictive analysis and modeling. Function as a predictive modeling or application team lead on Core Map projects. MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization. Minimum of 8+ years related professional experience. Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc. Should have expert-level knowledge in one or more of these areas. Knowledge of Computer Vision, Deep Learning and Point Cloud Processing algorithms. Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc. Programming experience with SQL, shell script, Python, etc. Knowledge of and ideally some experience with tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis. Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques. Demonstrated proficiency with understanding, specifying and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions. Preferred Qualifications: Development experience with and Scala Development experience with Docker Development experience with GIS data Development experience with NoSQL (i.e. DynamoDB)

Associate / Sr. Associate - Customer Success Who are we looking for? Associate Customer Success drives value for clients by optimizing/managing business processes, synthesizing data at regular intervals, maintaining high-quality standards, applying automation leveraging cutting-edge technology, performing analyses, updating business rules, presenting results to the clients, and answering queries on deliverables. and generating focused insights. Openings: 5 Experience: Min. 2-4 Years of work experience Requirements: • Candidates having exposure to the Cybersecurity industry will be preferred not mandatory. • Past experience in working with Advanced Excel and in making powerful presentations will be a plus. • We welcome candidates with a range of degrees and backgrounds, though sustained success with a significant volume of analytic and quantitative coursework is required. • Any bachelor's or master's degree in engineering, Operations Management/Research, MIS, Management Science, Applied Mathematics, Statistics or Econometrics will be entertained. Roles: 1. Developing and managing client portfolios. 2. Analyzing customer data to improve customer experience. 3. Hold product demonstrations for customers & improve onboarding processes. 4. Mediate between clients and the organization to achieve end goals. 5. Handling and resolving customer requests and complaints. 6. Minimize customer churn to increase customer retention. What You can expect from us: • Competitive salary • Technical coaching to ensure continuous professional growth • Awards & recognition for your hard work

Principal Applied Science Manager Bangalore, Karnataka, India Date posted Jul 15, 2025 Job number 1842068 Work site Up to 50% work from home Travel 0-25 % Role type People Manager Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview Microsoft Teams is the hub for teamwork that integrates all the people, content, and tools your team needs to be more engaged and effective. It is core to Microsoft’s modern work, modern life & modern education value prop. We are reinventing the way people communicate and work together across the globe. We own the infrastructure that enables complex orchestration of Copilot workflows to put powerful AI capabilities at the user’s fingertips. Our team empowers users to have more effective and engaging meetings, chats, and collaborations by providing real-time assistance as well as getting information and accomplishing tasks in ways they never thought possible. We leverage the most advanced, large language models (LLMs) to develop cutting-edge Copilot products in Teams. We are looking for an experienced manager who can bring deep applied science expertise and a proven track record of shipping at-scale AI-enabled intelligent user-facing experiences to drive vision and execution for Microsoft 365 AI. As an Principal Applied Science Manager in Microsoft Teams, you would work in an exciting and fast-paced environment, collaborating closely with teams across the company, including Microsoft Research and various product groups. You will work as part of an organization that brings together talent in the areas of large language models, deep learning, information retrieval, software engineering, and responsible AI. We value and encourage diversity in the belief that it leads to both great workplaces and great products. 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 Educational Background: Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Electrical Engineering, or other related technical field (e.g., mathematics, physics, statistics, or similar). Experience: At least 9 + years of industry experience, with strong proficiency in coding in Python for software development and data science. (Experience with additional programming languages is a plus but not required.) Skills: Proficiency in Python-based machine learning frameworks and libraries such as PyTorch and TensorFlow, and experience developing and deploying generative AI or machine learning models into production. Strong communication and presentation skills, with the ability to convey complex technical concepts to diverse audiences. Problem-Solving: Demonstrated ability and motivation to understand complex business contexts and to solve hard, open-ended problems. A proactive mindset in tackling challenges and optimizing solutions to deliver business impact. Additional or Preferred Qualifications Advanced Degree (Preferred): Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field and 9+ years of related experience; OR Doctorate in one of the above fields and 6+ years related experience; OR equivalent industry experience. Research & Publications: 5+ years of experience contributing to research publications (e.g., patents, academic papers, open-source libraries) that showcase innovative thinking and technical depth. Research Excellence: 5+ years of experience conducting original research as part of a formal research program (in academic or industrial settings), with proven ability to drive insights from concept to execution. Production Deployment: 3+ years of experience developing and deploying live production systems as part of a product team, ensuring solutions are scalable, reliable, and maintainable. Product Lifecycle Experience: 3+ years of experience contributing to products or systems at multiple stages of the development lifecycle, from initial ideation and prototyping to final production deployment and ongoing iteration. Responsibilities Manage an innovative applied science team in the area of Large Language Models, Artificial Intelligence, Machine Learning and Deep Learning. Technical leadership in an applied science team in the area of Large Language Models, Natural Language Processing, Machine Learning and Deep Learning. Develop and deploy conversational and language understanding models at scale. Push the boundaries of AI platforms through innovation and partnership. Follow and advance best practices for Responsible AI and Privacy Preserving Machine Learning. Support hiring, coaching, mentoring and career development of Applied Scientists to build an inclusive and ambitious applied science team. Collaborate closely with Microsoft Research and product teams to create the next generation of AI innovation in our products and services. Communicate internally and externally through publication, presentations, and other media (e.g., blogs, press interviews) on research progress, major breakthroughs, and product innovation. 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.

Microsoft Teams is the hub for teamwork that integrates all the people, content, and tools your team needs to be more engaged and effective. It is core to Microsoft’s modern work, modern life & modern education value prop. We are reinventing the way people communicate and work together across the globe. We own the infrastructure that enables complex orchestration of Copilot workflows to put powerful AI capabilities at the user’s fingertips. AI is now going through a transformational change with the advent for LLMs, we need an individual who has expertise in working with Large Language models (LLMs) who has designed scalable systems using LLMs. As an Applied Scientist II you will need to design and build systems that allow LLMs to reason over large amounts of data as well as leveraging lighter weight models in place for specific scenarios for specific scenarios. We are looking for an individual who has the proven capability of working with research teams and partnering with them to deliver joint solutions. This can range from working together to build fine-tuned models to coming up with ways to build custom LLMs for specific product needs. We are excited to hear from candidates who are passionate about making a significant impact on how people interact with their computers in the last 30 years, and who are excited about the opportunity to be at the forefront of growing new business for Microsoft. This is a rare chance to be part of a cutting-edge technology that is poised to revolutionize productivity and innovation. 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. Responsibilities Conduct applied science experiments, create and validate metrics, develop ML pipeline and modeling algorithm in the area of Large Language Models, Natural Language Processing, Information Retrieval, and Machine Learning. Develop and deploy conversational and language understanding models at scale. Follow and advance best practices for Responsible AI and Privacy Preserving Machine Learning. Collaborate closely with Microsoft Research, Microsoft AI groups, Microsoft Azure, AI platform teams, and product teams to create the next generation of AI innovation in our products and services. Embody our culture and values Qualifications Required Educational Background: Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Electrical Engineering, or other related technical field (e.g., mathematics, physics, statistics, or similar). Experience: At least 3+ years of industry experience, with strong proficiency in coding in Python for software development and data science. (Experience with additional programming languages is a plus but not required.) Skills: Proficiency in Python-based machine learning frameworks and libraries such as PyTorch and TensorFlow, and experience developing and deploying generative AI or machine learning models into production. Strong communication and presentation skills, with the ability to convey complex technical concepts to diverse audiences. Problem-Solving: Demonstrated ability and motivation to understand complex business contexts and to solve hard, open-ended problems. A proactive mindset in tackling challenges and optimizing solutions to deliver business impact. Additional or Preferred Qualifications Advanced Degree (Preferred): Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field and 3+ years of related experience; OR Doctorate in one of the above fields and 6+ years related experience; OR equivalent industry experience. Research & Publications: 3+ years of experience contributing to research publications (e.g., patents, academic papers, open-source libraries) that showcase innovative thinking and technical depth. Research Excellence: 3+ years of experience conducting original research as part of a formal research program (in academic or industrial settings), with proven ability to drive insights from concept to execution. Production Deployment: 3+ years of experience developing and deploying live production systems as part of a product team, ensuring solutions are scalable, reliable, and maintainable. Product Lifecycle Experience: 3+ years of experience contributing to products or systems at multiple stages of the development lifecycle, from initial ideation and prototyping to final production deployment and ongoing iteration. Microsoft is an equal opportunity employer. Consistent with applicable law, 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.

ZS is a dynamic workplace where your passion can make a real difference in people's lives. As a leading management consulting and technology firm dedicated to enhancing life quality, our greatest asset is our talented team. At ZS, you will collaborate with a diverse group of innovative thinkers and experts, shaping transformative solutions for patients, caregivers, and consumers globally. Our approach prioritizes client needs, fostering impactful engagements that drive positive outcomes. We work closely with clients to design tailored solutions and technology products, generating value and driving business success across key areas. Our commitment to diversity and inclusion is at the core of our values at ZS. We recognize and celebrate the unique identities, experiences, and beliefs that define us as individuals. Your personal interests, identities, and thirst for knowledge are integral to your success here. Discover more about our initiatives for diversity, equity, and inclusion, and the supportive networks available at ZS to help our team members create inclusive spaces, access necessary resources, and amplify their voices. Insights & Analytics: ZS's Insights & Analytics team collaborates with clients to develop and implement solutions that address various business challenges. Our dedicated teams manage multiple projects concurrently, leveraging advanced data analytics and problem-solving techniques. Our recommendations are rooted in thorough research and analysis, supported by deep expertise and innovative thinking. Role Responsibilities: - Utilize quantitative skills to address clients" ongoing business analytics and reporting inquiries effectively. - Collaborate with clients to identify their specific business information requirements. - Develop and execute a tailored plan for analyzing data to address clients" unique business needs. - Identify and recommend the most suitable data for analysis in consultation with clients. - Evaluate and analyze data meticulously to provide solutions aligned with clients" business information needs. - Present data findings to clients, focusing on addressing business questions rather than technical processes. - Familiarize yourself with clients" internal processes promptly. - Build expertise in a specific client analytics area. - Provide client support during regular business hours. Candidate Requirements: - MBA with a bachelor's degree in a quantitative or analytical discipline, or a related field. Alternatively, candidates may have a PhD in a relevant area with business applications. Substantial work experience (5-8 years) may be considered in place of an MBA or PhD. - 3 years of post-MBA relevant work experience and 3-5 years of pre-MBA relevant work experience, showcasing strong analytical skills. - Proficiency in advanced modeling techniques and tools such as R, SAS, Tableau, or VBA. - Strong motivation, work ethic, maturity, and initiative. - Ability to lead and manage teams effectively. - Excellent oral and written communication skills to engage with senior decision-makers. - Detail-oriented with a focus on quality. - Analytical problem-solving abilities with a creative and innovative mindset. - Client-centric approach to service delivery. Perks & Benefits: ZS provides a comprehensive total rewards package encompassing health and well-being, financial planning, annual leave, personal growth, and professional development. Our robust skills development programs, diverse career progression options, internal mobility paths, and collaborative culture empower you to excel as an individual and a global team member. We promote a flexible and connected work environment at ZS, allowing a balance between work-from-home and on-site presence at clients/ZS offices. This blend enables us to leverage the best of both worlds for enhanced collaboration and innovation. Travel Requirements: Travel is a fundamental aspect of client-facing roles at ZS, with project and client needs taking precedence. While some projects may be local, all client-facing team members should be prepared for travel as necessary. Travel opportunities facilitate stronger client relationships, diverse experiences, and professional growth in varied environments and cultures. Application Process: ZS is committed to fostering a diverse and inclusive workplace where individual passions drive impactful change and better outcomes for all. We value candidates from all backgrounds and encourage applicants to apply even if they do not meet 100% of the listed requirements. ZS is an equal opportunity employer, dedicated to providing fair employment opportunities without discrimination based on any protected class. To Apply: Candidates must have or be eligible to obtain work authorization for their intended country of employment. An online application, along with a complete set of transcripts (official or unofficial), is necessary for consideration. We kindly request no agency calls during the application process. Learn More About Us: Visit www.zs.com for more information about ZS and our commitment to driving positive change through innovative solutions and inclusive practices.,

Do you want to be on the leading edge of using big data and help drive engineering and product decisions for the biggest productivity software on the planet? Office Product Group (OPG) has embarked on a mission to delight our customers by using data-informed engineering to develop compelling products and services. OPG is looking for an experienced professional with a passion for delivering business value with data insights and analytics to join our team as a Data & Applied Scientist. We are looking for a strong Senior Data Scientist with a proven track record of solving large, complex data analysis problems in a real-world software product development setting. Ideal candidates should be able to take a business or engineering problem from a Product Manager or Engineering leader and translate it to a data problem. This includes all the steps to identify and deeply understand potential data sources, conduct the appropriate analysis to reveal actionable insights, and then operationalize the metrics or solution into PowerBI dashboards. You will be delivering results through innovation and persistence when similar candidates have given up. 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. Responsibilities Dashboard Development and Maintenance: Design, build, and maintain interactive dashboards and reports in PowerBI to visualize key business metrics and insights. Work closely with stakeholders to understand their data visualization needs and translate business requirements into technical specifications. Data Extraction And Analysis Perform ad-hoc data extraction and analysis from various data sources, including SQL databases, cloud-based data storage solutions, and external APIs. Ensure data accuracy and integrity in reporting and analysis. Deliver high impact analysis to diagnose and drive business critical insights to guide product and business development. Metric Development And Tracking Be the SME who understand landscape of what data (telemetry) are and should be captured Advice feature teams on telemetry best practices to ensure business needs for data are met. Collaborate with product owners and other stakeholders to define and track key performance indicators (KPIs) and other relevant metrics for business performance. Identify trends and insights in the data to support decision-making processes. User Journey And Funnel Analysis Assist product owners in mapping out user journeys and funnels to understand user behavior and identify opportunities for feature improvement. Develop and implement ML models to analyze user journeys and funnels. Utilize a variety of techniques to uncover patterns in user behavior that can help improve the product. Forecasting And Growth Analysis Support the forecasting of key results (KRs) and growth metrics through data analysis and predictive modeling. Provide insights and recommendations to help drive strategic planning and execution. Qualifications Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techn OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec OR equivalent experience. 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience. Preferred Qualifications 7+ years of experience involving programming with languages Python/R and hands on experience using technologies such as SQL, Kusto, Databricks, Spark etc. 7+ years of experience working with data exploration and data visualization tools like PowerBI or similar. Candidate must be able to communicate complex ideas and concepts to leadership and deliver results. Candidate must be comfortable in manipulating and analyzing complex, high dimensional data from varying sources to solve difficult problems. Bachelors or higher degrees in Computer Science, Statistics, Mathematics, Physics, Engineering, or related disciplines. Microsoft is an equal opportunity employer. Consistent with applicable law, 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.

Job Description: We are looking for leaders in the data science domain, who should not only be passionate about building new algorithms and filing patents but can solve business problems using innovative and unique applied engineering concepts on big data. The principal data scientist is responsible to ensure that the delivery of data science solution is meeting the laid-out standards and commitments that Quadratyx has made to its clients. Apart from continuously improvising the data science expertise of the company, the principal data scientist needs to handle the research and development team with equal focus. Requisites Education: Bachelor's / Master degree is required in relevant field, Ph.D. degree will be preferred. Experience (Years): 9 plus years of relevant experience in delivering solutions using AI tools and machine learning algorithms, with proven expertise in data science research and awarded patents Job Responsibilities Lead a team of data scientists in developing and delivering machine learning models that work in a real-life production environment Collaborate with other department heads on delivery of projects Lead pre-sales responsibilities to deliver proposals Monitor the projects and sprints planned for data science team Ensure adoption of latest data science technologies Continuously challenge the model outcome and better the results Research to solve business problems where the creative ideas may have exhausted to do so Follow agile methodology in an iterative software development environment: committing to deadlines, owning work, and providing project status updates when necessary Own strategic thought leadership for the subject of enterprise-wide machine learning capabilities Dig deeper into data, understand characteristics of data, evaluate alternate models, and validate hypothesis through theoretical and empirical approaches Represent Quadratyx in data science conferences and interact with business leaders Publications in internal journals of repute and build patentable research outputs Skills Technical Skills Must have Relevant industry experience in handling high volumes of structured and unstructured data Implementation expertise in area of Quantitative Analytics spanning statistical modeling, machine learning, optimization methods, econometrics, graph theories, artificial intelligence, text mining and Natural Language Processing Solution delivery experience in deep learning methods Expertise in exploiting parallel computing environments like clusters on big data platforms like Hadoop etc. Proven skills in programming using any languages like Python, R, Scala, MATLAB Preferable to have Problem solving experience in maturing big data platforms Hands-on experience in tools and components used to assimilate and analyze big data Experience with data visualization tools to develop descriptive analysis Experience in deploying solutions on cloud platforms like Azure, AWS Other Skills Provable Excellence In Past Record Problem solving and analytical skills A penchant to excel, a strong urge to research and deliver Strong communication, interpersonal and leadership skills An inclusive attitude to respect diverse individuals and perspectives

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Pyramid Overview As a Senior Data Scientist in Data Sciences, you will play crucial role in designing , implementing, and optimizing the AI solutions in production. Additionally, youll apply best practices in software design, participate in code reviews, create a maintainable well-tested codebase with relevant documentation. We will look to you to understand and actively follow foundational programming principles (best practices, know about unit tests, code organization, basics of CI/CD etc.) and create a well-maintainable & tested codebase with relevant documentation. You will get the opportunity to develop in one or more approved programming languages (Java, Scala, Python, R ), and learn and adhere to best practices in data analysis and data understanding. Team Overview The Content Creation team within Data Sciences will help build AI solutions leveraging GenAI , computer vision and traditional ML models for various marketing or site content use-cases . The team will play a crucial role in helping Target drive relevancy with guests. P os ition Overvie w As a Senior Data Scientist, youll influence by interacting with the Data Sciences team, Product teams, Scientist/Engineer individual contributors from other pillars, and business partners. You will perform within the scale and scope of your role by defining solutions and beginning to identify problems to solve and contribute to Data Sciences and Targets culture by modelling and contributing to the culture. Youll get the opportunity to use your expertise in one or more of the following areasmachine learning, probability theory & statistics, optimization theory, Simulation, Econometrics, Deep Learning, Natural Language processing or computer vision. We will look to you to own design and implementation of an algorithmic solution (e.g., recommendation or forecasting algorithm), including data understanding, feature engineering, model development, validation and testing, and deployment to a production environment. Youll drive development of problem statements that capture the business considerations, define metrics/measurement to validate model performance, and drive feasibility study with data requirements and potential solutions approaches to be considered. Youll evaluate tradeoffs of simple vs complex models/solutions in determining the right technique to employ for a business problem and develop and maintain a nuanced understanding of the data generated by the business, including fundamental limitations of the data. Youll leverage your proficiency in one or more approved programming languages (Java, Scala, Python, R), and ensure foundational programming principles in developing code (best practices, writes unit tests, code organization, basics of CI/CD etc.) are followed in developing the teams products/models. Youll not only stitch together basic data pipelines for a given problem and own design and implementation of individual components within Data Science/Tech applications, but also articulate the technical strategy, value of technology, and impact on the business. As you do so, youll collaborate with engineers, scientists, and business partners/product owners to create algorithmic solutions that are performant and integrated into applications. Well look to you to mentor and provide technical support within a team, including mentoring junior team members, and present your work and your teams work to business partners and other Data Sciences teams. With a deeper understanding of your functional area of responsibility, youll support agile ceremonies, collaborate with peers across multiple products, communicate and collaborate with business partners, and demonstrate an understanding of areas outside your scope of responsibility. The exciting part of retail Its always changing! About You 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) M asters in Computer Science , Applied Mathematics, Statistics, Physics or over 3 plus years of relevant industry experience Good knowledge and experience developing optimization, simulation and statistical models Experience in working with image, text data, embeddings , building vision models and leveraging Gen AI tools Experience in Machine Learning frameworks such as TensorFlow, PyTorch or similar libraries Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory Excellent problem-solving skills combined with strong analytical abilities Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations , graphs, and narratives Know More here Life at Target - https://india.target.com/ Benefits - https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Sr Data Analyst As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. As a Sr Data Analyst for Targets Merch Data Analytics team youll: Support our world-class Merchandising leadership team at Target with critical data analysis that helps Merch business team to make profitable decisions. Enable faster, smarter and more scalable decision-making to compete and win the modern retail market. Collaborate with stakeholders and understand their priorities/roadmap to drive business strategies using data. Interface with Target business representatives to validate business requirements/requests for analysis and present final analytical results. Designs, develops, and delivers analytical solutions resulting in decision support or models Gathers required data and performs data analysis to support needs. Communicate impact of proposed solutions to business partners Evaluates processes, analyzes and interprets statistical data Develop business acumen and cultivate client relationships Presents results in a manner that the business partners can understand. Translate scientific methodology to business terms. Documents analytical methodologies used in the execution of analytical projects Participate in knowledge sharing system to support iterative model builds Adheres to corporate information protection standards. Keep up to date on industry trends, best practices, and emerging methodologies Requirements / About You: ExperienceOverall 5-8 years exp and relevant 3-5 years expQualificationB.Tech / B.E. or Masters in Statistics /Econometrics/Mathematics equivalent 1. Extensive exposure to Structured Query Language (SQL), SQL Optimization and DW/BI concepts. 2. Proven hands-on experience in BI Visualization tool (i.e. Tableau, Domo, MSTR10, Qlik) with ability to learn additional vendor and proprietary visualizations tools. 3. Strong knowledge of structured (i.e. Teradata, Oracle, Hive) and unstructured databases including Hadoop Distributed File System (HDFS). Exposure and extensive hands-on work with large data sets. 4. Hands on experience in R, Python, Hive or other open-source languages/database 5. Hands on experience in any advanced analytical techniques like Regression, Time-series models, Classification Techniques, etc. and conceptual understanding of all the techniques mentioned above 6. Git source code management & experience working in an agile environment. 7. Strong attention to detail, excellent diagnostic, and problem-solving skills 8. Highly self-motivated with a strong sense of urgency to be able to work both independently and in team settings in a fast-paced environment; capability to manage urgency timelines 9. Competent and curious to ask questions and learn to fill gaps, desire to teach and learn. 10. Excellent communication, service orientation and strong relationship building skills 11. Experience with Retail, Merchandising, Marketing will be strong addons Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Pyramid overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, youll be challenged to harness Targets impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on Every Scientist on Targets Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, and to elevate Targets culture and apply retail domain knowledge. About the role As aLead Data Scientist, youll influence by interacting with the Data Sciences team, Product teams, Scientist/Engineer individual contributors from other pillars, and business partners. You will perform within the scale and scope of your role by defining solutions and beginning to identify problems to solve and contribute to Data Sciences and Targets culture by modeling and contributing to the culture. Youll get the opportunity to use your expertise in one or more of the following areasmachine learning, probability theory & statistics, optimization theory, Simulation, Econometrics, Deep Learning, Natural Language processing or computer vision. We will look to you to own design and implementation of an algorithmic solution (e.g., recommendation or forecasting algorithm), including data understanding, feature engineering, model development, validation and testing, and deployment to a production environment. Youll drive development of problem statements that capture the business considerations, define metrics/measurement to validate model performance, and drive feasibility study with data requirements and potential solutions approaches to be considered. Youll evaluate tradeoffs of simple vs complex models/solutions in determining the right technique to employ for a business problem and develop and maintain a nuanced understanding of the data generated by the business, including fundamental limitations of the data. Youll leverage your proficiency in one or more approved programming languages (Java, Scala, Python, R), and ensure foundational programming principles in developing code (best practices, writes unit tests, code organization, basics of CI/CD etc.) are followed in developing the teams products/models. Youll not only stitch together basic data pipelines for a given problem and own design and implementation of individual components within Data Science/Tech applications, but also articulate the technical strategy, value of technology, and impact on the business. As you do so, youll collaborate with engineers, scientists, and business partners/product owners to create algorithmic solutions that are performant and integrated into applications. Well look to you to mentor and provide technical support within a team, including mentoring junior team members, and present your work and your teams work to business partners and other Data Sciences teams. With a deeper understanding of your functional area of responsibility, youll support agile ceremonies, collaborate with peers across multiple products, communicate and collaborate with business partners, and demonstrate an understanding of areas outside your scope of responsibility. The exciting part of retailIts always changing! Core responsibilities of this job are described within this job description.Job duties may change at any time due to business needs. About you: 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) and 6+ years of professional experience or equivalent industry experience Masters degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) Good knowledge and experience developing optimization, simulation, and statistical models Strong analytical thinking skills. Ability to creatively solve business problems, innovating new approaches where required Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory Good working knowledge of mathematical and statistical concepts, MILP, algorithms, and computational complexity Passion for solving interesting and relevant real-world problems using a data science approach Experience in implementing advanced statistical techniques like regression, clustering, PCA, forecasting (time series) etc. Able to produce reasonable documents/narrative suggesting actionable insights Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented; able to meet tight timelines Strong team player with ability to collaborate effectively across geographies/time zones Know More About us here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Elevate Your Impact Through Innovation and Learning Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4,500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development, work-life balance, and equal opportunity for all. Curious to know what its like to work at Evalueserve? Read on. About Investment Research (IR) As a global leader in knowledge processes, research, and analytics, youll be working with a team that specializes in global market research, working with the top-rated investment research organizations, bulge bracket investment banks, and leading asset managers. We cater to 8 of the top 10 global banks, working alongside their product and sector teams, supporting them on deal origination, execution, valuation, and transaction advisory-related projects. What you will be doing at Evalueserve Work directly with the head of the team, who has been consistently ranked as the top analyst in CEEMEA strategy by several top-tier investment banks. Handle research, strategy, and analytics for all EM fixed income-related products offered by the research platform of the banking client. Conduct macroeconomic and market research across emerging markets. Develop and maintain financial models and analytical frameworks for EM fixed income products. Analyze large datasets to identify market trends and investment opportunities. Support the team in producing high-quality research reports and market commentary. Collaborate with trading, sales, and risk teams to align strategy insights with business needs. Utilize tools such as Bloomberg, Macrobond, and Haver, and IMF databases for data extraction and analysis. What were looking for: Advanced degree in economics /statistics /engineering with minimum relevant experience of 3 years. Progress towards CFA / FRM is preferable. Prior experience of macro research, financial modeling, structuring, trading, or market risk management Keen interest in global financial markets and knowledge of recent developments. Strong quantitative and mathematical skills with experience of working with large amounts of data. Advanced Excel, VBA analytical skills, and knowledge of basic econometrics is a must. Working knowledge of Python or R will be considered a plus. Excellent written and verbal communication skills ability to write research reports and comment on market developments. Knowledge of database tools Bloomberg, Macrobond, Haver, World Bank, IMF, etc. Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances. Please Note: We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we verify your employment, education, and personal details. Please ensure all information is factual and submitted on time. For any assistance, your TA SPOC is available to support you.

We are looking for a Data Scientist to help us gain useful insight out of raw data. Data Scientist responsibilities include working with the data science team, planning projects and building analytics models. You should have a strong problem-solving ability and a knack for statistical analysis. If you’re also able to align our data products with our business goals, we’d like to meet you. Your ultimate goal will be to help improve our products and business decisions by making the most out of our data. Minimum Qualification ● Bachelor/ Master degree in Computer Science, Operations Research, Econometrics, Statistics or related technical field ● 3+ years of experience solving analytical problems using quantitative approaches Technical Skills - Must have – ● Experience with Databricks and MLflow. ● Experience deploying machine learning models in production environments. ● Expertise in data structures, algorithms, core object-oriented programming (OOP) concepts and software engineering principles. ● Ability to develop and implement strategies for monitoring model performance, accuracy, and overall health. ● Proficiency in developing and maintaining RESTful APIs using Python frameworks (e.g., Flask, Django). ● Strong ability to write database queries (SQL and NoSQL). ● Excellent problem-solving and troubleshooting skills in Python. ● Familiarity with Python libraries such as Pyspark, Pandas, scikit-learn, SQLAlchemy, and Requests. Good to have – ● Expertise in Kafka Streaming and Batch processing ● Familiarity with version control systems (e.g., Git) and CI/CD practices ● Experience with Python multiprocessing and worker/queue systems. ● Understanding of event-driven or asynchronous programming, or at least a high-level understanding.

Not an IT profile Jr. Research Analyst (Equity & Derivatives) This Job role is for research and strategy making in equity and derivatives market. Ahmedabad location Work from Office 6 days working (Monday to Saturday) Timing 9:00 AM to 7:00 PM Candidates from Ahmedabad ONLY. Require candidates with - CFA, CMT, CA, MBA(Finance) Job role: · Contributing to equity research on quantitative indicators/models that drive the construction of high frequency trading strategies · Developing trading strategies, from idea generation and data collection to analysis and model creation · Extract predictive signals from financial data through statistical analysis methods · Analyze a large amount of data and develop prediction algorithms/regression models · Formulate and apply mathematical modelling techniques to enhance existing trading strategies and perform innovative new research to identify and capture trading opportunities · Applying analytical and simulation techniques to analyses model performance · Processing, cleansing, and verifying the integrity of data used for analysis. Requirements: · A strong academic record with a preference in a quantitative discipline –mathematics, econometrics, statistics, or a related discipline. · A demonstrated capacity to do first-class research & experience in tackling in-depth research projects. · Strong computer skills and experience working with data. · Understanding in at least some of the following areas: time-series analysis, statistical estimation, scenario analysis, numerical optimization. · A curiosity for model development and experience handling large data sets. · Strong problem-solving and analytical skills. · The proactive ability to take the lead on assignments and deliver practical research results in a timely manner. · Creativity, solid analytical skills and attention to detail. · The ability to communicate complex ideas clearly. Job Type: Full-time Pay: ₹250,000.00 - ₹350,000.00 per year Schedule: Day shift Work Location: In person