142 Statistical Techniques Jobs

Project planning and management . Responsible for managing the teams delivering forecasting solutions / forecasts / analytics, using both strategic and/or statistical techniques Collaborate with cross-functional stakeholders at various levels across country, regional and global to collect and validate information for periodic forecasts, run sensitivities and ad hoc analyses and socialize outputs to drive/support business decisions Drive continuous enhancements to evolve the existing forecasting capabilities in terms of value-add, risk/ opportunity/uncertaintyand efficiency - identify and elevate key forecasting levers/insights/findingsto inform decision making. Exhibit excellence in thought-leadership , creativity / innovationand problem solving - independently ideate/design/developnew approaches/methodologiesto solution for unstructured/complex business questions, experiment different approaches/framework which uncover bigger issue and/or insights and actionable recommendations. Build capabilities in the team to take on further execution of the best approach/framework Subject matter expert and go to person for the area of specialization; consistently demonstrate critical and evidence-based thinking and challenge everyone to ensure highest level of rigor in problem solving and solution building People Management Supervise, develop, mentor and coach the team Participate in the selection process, manage resources, track, monitor, review and guide performance. Provide developmental feedback, suggest training programs and facilitate the developmental process for own team in order to achieve the objectives through an engaged team. Communication and Collaboration Present the synthesized insights and complex business solutions to the business stakeholders in a simplified manner Lead the communication in global multi country / multi-cultural environment. Build additional capabilities identified by the developed strategic plan around Therapy area management, advanced analytics, Reporting and dashboards, forecast error measurement, new forecast methods that can bring continuous improvement to CoE s deliverables Build and advance the (brand and portfolio) analytics capability, impart knowledge and best practices across teams In the discharge of your responsibilities, you will be required to undertake such other jobs as may be assigned to you by the Management from time to time. Qualification and skills: Engineers / Management / Masters in statistics/mathematicswith 7+ years of experience in the relevant jobs; with atleast 4 years of experience in Pharma forecasting Strong problem-solving skills and ability to work in ambiguous situation Good communication skills and engagement skills for coordinating across teams Knowledge of advanced statistics is desirable

Resolute is a forward-thinking investment firm committed to strategic diversification and sustainable growth across high-impact sectors. Our diversified portfolio includes Hair Drama Company, Sanghi Industries Limited, ShareSquare, and Resolute Sports. We nurture ventures that redefine industry benchmarks and create long-lasting value. We are now seeking a visionary Analytics Head who can lead our data initiatives, drive strategic insights, and help translate complex data into powerful business decisions. Define and lead the end-to-end data strategy, encompassing data acquisition, integration, processing, and visualization to deliver scalable analytics solutions across the organization. Identify trends and key business opportunities through deep analysis of large and complex datasets, including internal sources, third-party data, research publications, and digital channels such as social media. Partner with executive leadership and key business stakeholders to translate strategic goals into analytical frameworks, KPIs, and data-driven solutions that drive decision-making. Establish robust data protocols, models, and pipelines ensuring high data quality, consistency, and governance across the enterprise. Build, implement, and maintain leading-edge analytics frameworks for descriptive, predictive, and prescriptive insights using tools like Python, R, SQL, and cloud-based platforms (AWS, GCP, Azure). Drive innovation in analytics, including the application of machine learning, AI, and automation to solve business challenges and create competitive advantage. Enable cross-functional teams with the tools, platforms, and reports necessary to analyze and act on data effectively. Develop dashboards and interactive reports aligned with industry standards. Design and maintain critical metrics and KPIs dashboards to track business performance, operational efficiency, and strategic alignment. Proven 7+ years of experience in analytics, data science, or business intelligence, including at least 2 years in a leadership role. Strong proficiency in SQL, Python, R, and modern data visualization tools (Tableau, Power BI, Looker, etc.). Expertise in data modelling, cloud data platforms (MS Azure, AWS Redshift, BigQuery, Snowflake), and ETL tools. Hands-on experience with machine learning models, statistical techniques, and AI-driven solutions. Strong understanding of data governance, security, and compliance standards. Excellent problem-solving and communication skills with the ability to convey complex data insights to non-technical stakeholders. Bachelors or Masters degree in Data Science, Statistics, Computer Science, or a related field. Preferred Qualifications: Prior experience in an investment firm, financial services, or high-growth startup environment. Familiarity with business operations across finance, product, and marketing. Experience with open-source data science libraries and deployment of ML models into production. Strong project management capabilities and familiarity with Agile methodologies.,

The role of Risk Modelling Lead Analyst is based in India, requiring all normal working days to be carried out in India. As a Risk Modelling Lead Analyst, you will be responsible for developing and maintaining compliant and fit-for-purpose models used in the bank's risk framework. Your expertise will enable you to provide clear and well-presented analysis, contributing to a collaborative and supportive team environment where sharing ideas and learning from others is highly valued. This role is offered at a senior analyst level. Your primary responsibilities will include designing, developing, and maintaining effective and compliant statistical risk and decision support models, as well as related analytics. You will be expected to deliver analytics and performance Management Information (MI) related to risk models, develop new and enhanced approaches to support improved business and customer outcomes. Key responsibilities: - Providing advice and support to business stakeholders on model use, impact, and implementation - Supporting regulatory engagement and internal governance related to risk models and frameworks - Developing well-documented models that meet the bank's standards and requirements - Ensuring the delivery of all milestones to agreed dates, budget, and quality standards To excel in this role, you should have experience working in a modelling or related quantitative function, with a focus on retail or wholesale banking environments. A degree in a numerate discipline, coupled with experience in data-driven analysis and statistical or mathematical modelling, is essential. Additionally, proficiency in risk systems, methodologies, and processes within a banking setting is required. Key qualifications and skills: - Proficiency in programming languages, particularly on large datasets in a mainframe or server environment - Understanding of statistical techniques and their appropriate application for the benefit of the bank and customers - Strong team working skills and the ability to collaborate effectively with colleagues If you are passionate about risk modelling, possess the necessary qualifications and skills, and thrive in a dynamic and fast-paced environment, we encourage you to apply for this challenging and rewarding position.,

Embark on a transformative journey as a Valuation Analyst at Barclays. You will spearhead the evolution of the digital landscape, driving innovation and excellence by harnessing cutting-edge technology to revolutionize digital offerings and ensure unparalleled customer experiences. Your responsibility will be to lead and build automated forecasting solutions to valuate acquisition marketing investments at the partner, channel, offer, and segment level. Additionally, you will help drive marketing investment optimization decisions for the business by leveraging data science capabilities through operationalizing data platforms and advanced analytical methodologies and tools to forecast P&L and monitor model accuracy to drive the best outcome across channels and partners. To be successful in this role as a Valuation Analyst, you should possess proficiency in Python, SAS, and SQL. A good knowledge of data analysis and statistical techniques such as linear or nonlinear models, logistic regression, macroeconomic forecast, decision trees, cluster analysis, and neural networks is required. Deep understanding of Cards P&L and forecasting methodologies is also essential. Experience in Credit Card/Banking, Data Science, Machine Learning, Advanced Analytics, and Data visualization are highly valued skills. Your role will involve extracting meaningful insights from complex data sets, developing robust decision models, and presenting actionable recommendations to stakeholders across departments. Key accountabilities will include identifying and extracting relevant data from various sources, performing sensitivity analysis and scenario planning, monitoring the performance of existing models, implementing data quality control procedures, and building quantitative models to support decision-making across different business areas. As an Analyst, you are expected to perform activities in a timely manner to a high standard consistently, driving continuous improvement. You will lead and supervise a team, guide and support professional development, allocate work requirements, and coordinate team resources. If the position has leadership responsibilities, you are expected to demonstrate a clear set of leadership behaviors Listen and be authentic, Energize and inspire, Align across the enterprise, and Develop others. You will have an impact on the work of related teams within the area, partner with other functions and business areas, take responsibility for end results of a teams operational processing and activities, escalate breaches of policies/procedures appropriately, advise and influence decision-making within your area of expertise, and take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. All colleagues are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship the moral compass guiding behavior. Demonstrating the Barclays Mindset to Empower, Challenge, and Drive is essential as the operating manual for behavior within the organization.,

As a Quantitative Data Analyst at NuQuants, a division of Zivanta Analytics, you will be an integral part of our team in Kolkata, India. Your role will involve conducting detailed quantitative analysis and supporting valuation processes for US banking products. By utilizing advanced quantitative techniques and industry-standard methodologies, you will contribute to strategic decision-making in the financial sector. Your responsibilities will include collecting, cleaning, and preprocessing large datasets from various sources to ensure data quality. You will develop and implement statistical models, machine learning algorithms, and data mining techniques to analyze the data effectively. Furthermore, you will generate insights from the data analysis, create detailed reports, and deliver presentations to stakeholders. It is essential for you to have a background in Computer Sciences or a quantitative field such as Finance, Business, Mathematics, Data Science, Statistics, Economics, or Engineering. Proficiency in Python, R, and SQL programming is required, with a focus on financial data management. Strong quantitative analysis skills and a keen interest in financial markets are also crucial for this role. Preferred qualifications include excellent communication skills to convey technical concepts clearly, attention to detail, and the ability to thrive in a fast-paced, collaborative environment. You should be self-motivated, proactive in problem-solving, and willing to quickly gain expertise in new subject matters. At Zivanta, we operate on a hybrid work schedule, with 3 days on-site in Kolkata and 2.5 days working from home. Candidates based in Kolkata are preferred for this position due to the office-based nature of the work. If you are excited about this opportunity, please share your updated CV with us at hr@zivanta-analytics.com. We are looking forward to meeting you and wish you the best in your application process!,

The ideal candidate for this position should possess a Bachelor's/Master's/PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research, or a related technical field. You should have a minimum of 7 years of relevant work experience in a similar role, particularly as a data scientist or Statistician, developing predictive analytics solutions for various business challenges. Your functional competencies should include advanced knowledge of statistical techniques, machine learning algorithms, data mining, and text mining. You must have a strong programming background and expertise in building models using languages such as SAS, Python, or R. Additionally, you should excel in storytelling and articulation, with the ability to translate analytical results into clear, concise, and persuasive insights for both technical and non-technical audiences. Experience in working with large datasets, both structured and unstructured, is crucial, along with the capability to comprehend business problems and devise optimal data strategies. Your responsibilities will encompass providing solutions for tasks like Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, and Price Optimization. It would be advantageous if you have experience working with big data platforms such as Hadoop, Hive, HBase, Spark, etc. The client you will be working with is a rapidly growing VC-backed on-demand startup that aims to revolutionize the food delivery industry. The team values talent, ambition, smartness, passion, versatility, focus, hyper-productivity, and creativity. The primary focus is on ensuring exceptional customer experience through superfast deliveries facilitated by a smartphone-equipped delivery fleet and custom-built routing algorithms. The company operates in eight cities across India and has secured substantial funding to support its expansion. If you meet the qualifications and are excited about the opportunity to contribute to this innovative venture, please share your updated profile at poc@mquestpro.com.,

The Associate Procurement Specialist will be a key member of the Global SCM team, working as an individual contributor and playing a vital role in driving centralized analytics and intelligence initiatives based out of Gurgaon. Your primary responsibility will be to provide pricing and market intelligence/analytics support to global projects in FEED/Proposal/Execution phases, with a focus on supporting the Global Category Management organization. Your role will align with the organization's vision of developing value-driven SCM solutions to support projects and enhance overall value within the entire supply chain. You will be responsible for enhancing market intelligence and price benchmarking/intelligence capabilities to support the development of pre-contract SCM strategies. This includes maintaining and improving the price analytics database and intelligence platform for Engineered Equipment and Bulk Material, supporting project/bid teams with proposals and FEEDs from a price benchmarking and market intelligence perspective, and developing data aggregation processes for reporting and dashboarding. Additionally, you will conduct market analysis of raw material commodities and steel-based products, identify and interpret market intelligence data using statistical techniques, prepare market intelligence reports and maintain dashboards to monitor forecast pricing, gather data from vendors/suppliers through routine surveys, and analyze metrics to identify new capabilities and operational performance. You will also develop and maintain Global SCM & category management metrics and reports, extract and maintain global procurement reports for projects across regions, and continuously work on process improvement to enhance data analysis for price benchmarking capabilities. To qualify for this role, you should possess strong analytical skills, attention to detail, and accuracy in collecting, organizing, analyzing, and disseminating information. Excellent communication and coordination skills are essential, particularly in multi-stakeholder environments. An engineering degree and 2-7 years of experience in the Oil and Gas industry, with exposure to various Engineering Documents and deliverables, are highly desired. Proficiency in advanced MS Excel, MS Forms, and PowerPoint is required, with additional skills in database query or programming languages (e.g., SQL) and data visualization using Power BI, Tableau, or similar dashboarding applications being preferred. Join us in driving the energy transition and making the impossible possible with the brightest minds across 54 countries.,

The Senior Data Analytics Consultant role is a high-impact position that requires a combination of deep analytical expertise, advanced technological proficiency, and exceptional collaborative skills. Your primary responsibility will be to define and implement data strategies that enhance business outcomes through innovative analytics and predictive modeling. Proficiency in SQL, Power BI, Alteryx, and familiarity with data modeling, cloud data solutions, and data quality management practices are essential for success in this role. Your leadership and stakeholder management skills will be crucial in ensuring that data insights are effectively translated into actionable business strategies across the organization. The ideal candidate will possess refined problem-solving abilities, advanced technical skills, and a proven track record of making strategic impacts in the field of data analytics. With at least 6 years of total experience in data analytics, including a minimum of 5 years of hands-on experience in SQL, Alteryx, Power BI, and relational database concepts, you will be well-equipped to excel in this role. Expertise in Power BI, including Power Query, Data Modeling, Visualization, and DAX for creating complex calculations, measures, and custom columns, is crucial. Experience with Row Level Security (RLS) in Power BI, Alteryx for designing robust data workflows, and proficiency in data modeling concepts will be key aspects of your responsibilities. An understanding of cloud technologies and programming background will be advantageous for this role. As a Senior Data Analytics Consultant, you will spearhead data analytics initiatives, utilizing advanced data visualization and statistical techniques to uncover insights and optimize growth opportunities. Your responsibilities will include architecting and ensuring precision in data design, metrics, and analytics distributed to interdisciplinary stakeholders, as well as customizing dashboards and workflows using Power BI and Alteryx. Collaboration with various teams to understand processes, challenges, and customer needs, defining key performance indicators (KPIs), and leading projects will be integral parts of your role. Qualifications for this position include a Bachelor's degree (BE/BTECH) in Computer Science, Engineering, Data Science, or related fields. A Master's degree in Data Analytics, Data Science, Statistics, or relevant certifications such as CAP, DASCA, Microsoft Certified: Data Analyst Associate, or equivalent, are highly preferable. Your ability to lead projects, influence teams, and mentor junior analysts will be essential in this role.,

Primary Responsibilities: Developing end-to-end pipeline for different document processing use cases Connecting with business for requirement gathering and status updates Maintaining accuracy of the work delivered Work closely with team lead throughout the solution development lifecycle, from design to implementation Work with the business teams to operationalize the ML solution for document processing solutions Engage in client communications for all important functions including requirement gatherings, strategizing solutions, delivering updates etc. Acquire understanding of US Healthcare domain Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Working understanding of deep learning especially NLP space Proficient in tools such as Python, SQL , Spark Microsoft Office Excel or PowerPoint Proficient in statistical techniques and standard Machine Learning Proficient in Generative AI and Agentic AI At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. #NIC Apply Internal Employee Application

Your role The Packaging Engineer will be responsible for supporting designing, developing, and implementing packaging and labeling materials for US/OUS medical devices. The individual should have good understanding of Packaging standards and Compliance requirements (ASTM, ISTA, ISO 11607 and EU-MDR). Within this context the activity will focus on: The job requires a self-motivated individual with collaborative skills on project, process with limited supervision. The individual should be a team player who is willing to collaborate. Fully participates in and successfully contributes to project teams typically including the following activitiesPackaging/product design and development, test of materials, preparation of specifications, process capability studies, report preparation, and process/test documentation. Generate, evaluate and coordinate packaging related documentation including specifications, test plans/reports, and other BSC Product Development Process documents. Strong knowledge of statistical methodology. Evaluate, create and document package/product test methods for new product development and existing design improvements. Understanding of documentation management systems and good manufacturing practices (GMPs) is required. Work closely with other members of the Packaging Engineering department and interact with personnel from a variety of areas within BSC. Develop strong team skills, including communication, teamwork, initiative and managed execution of all project deliverables. Work with suppliers and OEM contacts to establish partnerships to maximize quality, delivery, and lead times, and to incorporate their abilities, ideas, and material/product knowledge into new development. Keep abreast of new technologies, test methods and advances in the medical device packaging industry Your profile Bachelors Degree in Packaging Engineering or Equivalent Engineering Degree Minimum 2-6 years work experience Experience with MS tools (Excel, Word, PowerPoint, etc.) Experience with Statistical Software and its use for Engineering Applications Knowledge of Supply Chain / Product Distribution practices What You"ll Love About Working Here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as AWS and Microsoft Azure.

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Business Consulting QAS- Quantitative Trading Book (QTB) Profile: Quant Analyst/ Consultant/ Manager EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services leveraging deep industry experience with strong functional capability and product knowledge. FSO practice offers integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include market, credit, and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls. Within EY's FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions to help FSO clients identify, measure, manage, and monitor market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management, and other capital markets activities. The Market Risk (MR) team within FSRM assists clients in designing and implementing strategic and functional changes across risk management, treasury, front office, middle office, and back office activities with a focus on risk and valuation processes, regulatory compliance, analytics, strategy, and organizational structure. Your key responsibilities include demonstrating deep technical capabilities and industry knowledge of financial products, leading components of large-scale client engagements, understanding market trends and demands in the financial services sector, monitoring progress, managing risk, and effectively communicating with key stakeholders, and playing an active role in mentoring junior consultants within the organization. To qualify for the role, you should have an Undergraduate (4-year degree) or Masters (Computational Finance, Mathematics, Engineering, Statistics, or Physics preferred) or Ph.D. in quantitative topics with at least 2-10 years of relevant experience. Additionally, you should have working knowledge or academic experience of statistical and numerical techniques, knowledge of mathematical concepts related to pricing derivatives for various asset classes, strong risk management/model development/validation knowledge, good hands-on experience in model development/validation/monitoring/audit procedures, knowledge of mathematical concepts like Stochastic Calculus, Differential and Integral calculus, strong coding skills in programming languages like Python and R, excellent communication and strong problem-solving skills, project management experience, and report writing experience. Good-to-have qualifications include certifications such as FRM, CQF, CFA, PRM, regulatory knowledge/experience in areas such as Basel, CCAR, and FRTB, ETRM/CTRM systems experience, pricing/risk management system knowledge/experience, willingness to travel to meet client needs, experience in stakeholder and client management, and contributing to people initiatives. EY offers a competitive compensation package, a collaborative environment, excellent training and development prospects, an excellent team of senior colleagues, and opportunities to contribute to developing intellectual capital to support delivering superior outcomes for clients and the firm. EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

You are an experienced Data Quality Analyst with 8-12 years of experience in the field. Your role will involve supporting the product team by analyzing large volumes of pre-processed and enriched third-party data to provide valuable insights. Your responsibilities will include interpreting extensive data sets using statistical techniques, generating reports on the impact of strategies, identifying trends or issues for senior management, and testing the effectiveness of different actions using models and data mining methods. You should be proficient in using various data analysis tools, building and implementing models, creating algorithms, and running simulations. Additionally, you will collaborate with multiple stakeholders and functional teams to improve business outcomes by uncovering solutions within large data sets. Key Responsibilities: - Evaluate the efficiency and accuracy of new data sources and gathering methods. - Collaborate with diverse functional teams to deploy models and monitor results. - Develop processes and tools to assess model performance, coverage, and data accuracy. Qualifications: - Minimum 7 years of Quality Assurance experience. - 5+ years of database querying experience (MYSQL, Oracle) and proficiency in statistical computer languages (R, Python) for data manipulation and insights. - Familiarity with Linux-based operating systems and exposure to Docker containers. - 3+ years of experience in a cloud-based environment (e.g., AWS). - 2+ years of expertise in data visualization tools such as Tableau/Kibana. - Knowledge of machine learning techniques like clustering, decision tree learning, artificial neural networks, etc., will be advantageous. - Strong written and verbal communication skills for effective team coordination. - Enthusiasm for learning new technologies and methodologies. - Experience in analyzing data from 3rd party providers (e.g., Google Analytics, Site Catalyst) and presenting insights to stakeholders.,

As a Data Scientist at Mindcurv with 4+ years of experience, you will be responsible for delivering Data Science projects in the advanced analytics space. Your role involves driving business results through data-based insights, collaborating with stakeholders and functional/tech teams, and discovering solutions hidden in large datasets. You are expected to have experience working as a Data Scientist in the Marketing sector and ideally have delivered use cases for the Automotive industry. Your responsibilities will include identifying valuable data sources, supervising data preprocessing, analyzing information to discover trends, building machine learning models, and presenting insights using data visualization techniques. To excel in this role, you should have 3-5 years of experience in Analytics systems/program delivery with at least 2 implementations in Big Data or Advanced Analytics projects. Proficiency in Python is essential, and knowledge of R, Pyspark, and SQL is a plus. You should be familiar with various machine learning techniques, advanced statistical concepts, and have hands-on experience in GCP/AWS/Azure platforms. Additionally, you are expected to have experience with business intelligence tools like Tableau, ML frameworks, strong math skills, and excellent communication and presentation abilities. Your role will involve collaborating with Data engineering and product development teams to implement various AI algorithms and identify best-fit scenarios for business outcomes. Join Mindcurv to be part of a team of experts dedicated to redefining digital experiences and enabling sustainable business growth through data-driven solutions.,

As a Lead Data Scientist based in Chennai, your role will involve engaging with clients to deeply understand their business problems and devising innovative approaches to address them. You will be responsible for effectively communicating Analytics/Data Science solutions to clients and providing guidance, mentorship, and coaching to junior team members. The ideal candidate for this position should possess a strong understanding of statistical and data mining techniques. You should have hands-on experience in developing Machine Learning models using Python and be proficient in collecting, cleaning, and manipulating large datasets using SQL/PySpark methods. Additionally, you should have expertise in data analysis and visualization tools such as Power BI and Tableau to derive meaningful insights from data. Experience with at least one of the leading cloud platforms like Azure, AWS, or GCP is preferred for this role. Familiarity with Large Language Models (LLMs) would be an added advantage. In this role, you will lead the Data Science team, leveraging your 5-8 years of experience in the field. As a Full-time employee with a hybrid work arrangement in Chennai, you will play a key role in driving data-driven decision-making processes within the organization. If you meet the qualifications and are excited about taking on this challenging role, we encourage you to apply by submitting your resume along with the required details. We look forward to having a talented Lead Data Scientist like you join our team and contribute to our success.,

Instaworks vision is to create economic opportunities for local businesses and skilled hourly workers in communities around the world. With an AI-first approach, were supercharging the leading online labor marketplace and looking for exceptional talent to help us build the future of hourly work. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and more, we want you to help us continue to scale quickly and make an even greater impact. Instaworks mission is to create economic opportunities for businesses and local professionals globally. We believe AI and machine learning will be key factors across our products and company in accelerating our mission. We need an innovative Senior Machine Learning Engineer to join our growing team. While we have a team in the US, this role will be the founding ML engineer in APAC and thus can help set the direction and vision for ML in the region. Who You Are: 6-10 years of experience building machine learning models for business applications Entrepreneurial mindset with a mix of startup and large scale experience, bonus points for being a co-founder Advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, or similar) and experience with applications Deep understanding of machine learning techniques (clustering, decision tree learning, artificial neural networks, or similar) and their real-world advantages/drawbacks Strong communication and presentation skills with a natural executive presence Expert level fluency using languages like Python & SQL to manipulate data and draw insights from large data sets Working knowledge of common web/mobile architectures, data pipelines, CI/CD processes, etc. Strong understanding of DBT or other similar data transformation/organization methodologies Experience with BI tools (e.g. Mode, Tableau, Looker) B.Tech/ B.E or BS/B.Sc in Math, Statistics, Physics, Computer Science, or other quantitative fields. What You&aposll Do: Design, develop, and implement machine learning algorithms to solve complex problems in real-time scheduling and workforce optimization Initially, youll work closely with a US-based team for 1-2 quarters to build knowledge before immersing more in APAC-focused projects. Flexibility to work some mornings or evenings will be necessary during this period. Impact key company objectives by working closely with Product to refine our roadmap Build/maintain reports, dashboards, and metrics to monitor the performance of our products Gather, clean, and prepare large datasets for machine-learning models Build and maintain machine learning pipelines that are robust, scalable, and efficient Collaborate with cross-functional teams to integrate machine learning solutions into production systems Monitor and evaluate the performance of machine learning models and make continuous improvements Our Values Empathy, Trust & Candor We put ourselves in the shoes of our colleagues and customers and dont shy away from uncomfortable conversations, instead building trust through honest and direct feedback. Bias for Action We practice high-velocity decision-making, clear-eyed that we often operate with incomplete information. Growing quickly means its OK to be wrong, so long as we learn from our mistakes and course correct! Always Be Learning Were a curious bunch, and with AI transforming our workplace we encourage everyone to learn from each other, compounding our knowledge and experience to help us change an entire industry. Act Like an Owner We work long, hard, and smart, building products that delight our users and drive growth. Your ability to impact Instawork is limited only by your courage and conviction, not your job description. About Instawork Founded in 2015, Instawork is the nations leading online labor marketplace for food services, hospitality, light industry, and logistics, connecting more than 7M skilled workers with local restaurants, hotels, warehouses, stadiums, and more. Our AI-powered platform serves thousands of businesses across more than 50 major markets in the United States and Canada. We&aposre not just helping fill shifts, we&aposre supporting local economiesand we&aposre just getting started! Instawork has been featured by CBS News, The Wall Street Journal, The Washington Post, and the Associated Press. Forbes included us on their Next Billion Dollar Startups list; RetailTech Breakthrough named us Workforce Hiring Solution of the Year for 2025; and Inc. 5000 recognized us as one of the country&aposs top 10% fastest-growing companies two years in a row. But what matters most is our impact. We&aposre solving real problems for real people, and were doing it at scale. Join our team to help us build something that matters! Were looking for superstars who want to help us shape the future of work. With hubs in San Francisco, Bangalore, and Chicago, city offices in New York, Phoenix, and Singapore, we&aposre back to working together in-person five days a week because we believe the best ideas happen when great people collaborate face-to-face. We also value diverse perspectives and encourage applications from candidates of all backgrounds. 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As a seasoned data leader, you will play a pivotal role in influencing, initiating, and inspiring data-driven decisions across all value streams and KPIs. Your primary responsibilities will include utilizing data to uncover insightful issues and opportunities, collaborating with function heads to address challenges and leverage prospects, and guiding strategic decisions on organizational priorities. Furthermore, you will lead the application of data analytics and applied data science for various business problems such as churn prevention, margin optimization, marketing spends optimization, LTV estimation, demand forecast, prescription interpretation, and discount discrimination. With a minimum of 8 years of experience in data analytics, business intelligence, and data science, including 3 years in a managerial capacity, you will bring a top-tier business acumen and outcome orientation to the forefront. This leadership role requires continuous identification of opportunities and delivering on them by engaging with stakeholders and executives in a visible manner. Your demonstrated track record of applying deep technical expertise to diagnose and solve business problems effectively will be crucial in this role, emphasizing strategizing, application, and execution over cutting-edge research. In this role, it would be advantageous to have at least 2 years of experience in ecommerce, including exposure to the pharmacy space. Hands-on experience with the modern data stack, such as MCPs and Vector DBs, as well as informed opinions on designing scalable and future-proof data infrastructure in early-stage startups, will be considered beneficial. Throughout the selection process, we will evaluate candidates based on their data leadership skills, technical proficiency in tools like Tableau, SQL, and Python, and deep relevant knowledge in the practical application of data science and machine learning solutions for the retail and ecommerce sector. While this is a leadership position, we value individuals who can maintain a close connection to the technical aspects of the work. As part of our team, you will have the opportunity to take on a high-visibility role in a flat organization, working directly with founders and seasoned leaders. Competitive compensation packages including ESOPs, a challenging yet rewarding problem space focused on affordable generic medicines, and a supportive and outcome-driven work environment are some of the benefits we offer. Join us on a journey to make a meaningful impact on the lives of millions of individuals by leveraging data and technology to drive positive change.,

Top 3 Responsibilities: Influence : Use data to discover insightful issues & opportunities across all value streams and KPIs. Lead & partner with function heads to solve those issues & exploit those opportunities. Guide strategic decisions on org-wide priorities. Initiate: Lead the application of data analytics and applied data science for business problems like churn prevention, margin optimization, marketing spends optimization, LTV estimation, demand forecast, prescription interpretation, discount discrimination, etc. Inspire : Champion a data-informed culture throughout the organization. Lead a team of a dozen data analysts & scientists in the telling of quant & qual stories. Lead company into the world of modern AI-enabled data practices. Top 3 Must Haves: At least 8 years of data analytics, BI, and data science experience including at least 3 years in a managerial role (hiring, mentoring, etc) Top-tier business and outcome orientation. This is not a back-room role. This is a visible leadership role that continuously identifies opportunities & delivers on them by leading & partnering with stakeholders & execs. Demonstrated track record of applying deep technical expertise to diagnose business problems rationally and solving them relentlessly. Note that were NOT an AI lab doing cutting-edge research; this role demands strategizing, application, & execution. Top 3 Good to Haves : At least 2 years experience in ecommerce including one year in the pharmacy space Hands-on experience with the modern data stack (MCPs, Vector DBs, etc.) Informed opinions on designing a scalable, future-proof data infrastructure in early stage startups. Top 3 things we evaluate in the selection process: Data leadership: Outcome orientation, team management, pipeline ownership, stakeholder partnership, and executive influence. Technical skills: Hands-on Tableau, SQL, and Python skills, and knowledge of various statistical techniques, decision trees, and learning paradigms. While this is a leadership role, we value leaders who can stay close to the code. Deep relevant knowledge: Strategies for practical application of data science & machine learning solutions for retail / ecommerce. Top 5 things we offer: A high-visibility high-latitude role in a flat org with opportunity to directly work with & learn from founders & seasoned leaders. Competitive compensation with ESOPs. A terrific problem space in a durable business (8 years done, decades to go) that involves shifting consumer trust towards affordable generic medicines in a market where chronic diseases secure a consistent demand. A no-BS non-toxic org where outcomes matter above optics A real opportunity to directly make a material difference to the lives of crores of Indians. Imagine Steve Jobs telling John Sculley Do you want to sell sugar water for the rest of your life, or come with me and change the world Show more Show less

At PwC, our focus in data and analytics is on leveraging data to drive insights and make informed business decisions. We utilize advanced analytics techniques to help clients optimize their operations and achieve strategic goals. In the field of data analysis at PwC, you will be tasked with utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Your role will involve leveraging skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. Driven by curiosity, you are expected to be a reliable and contributing member of a team. In our fast-paced environment, you must be adaptable to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is viewed as an opportunity for learning and growth. You are expected to take ownership and consistently deliver quality work that drives value for our clients and contributes to the success of the team. As you progress within the Firm, you will build a brand for yourself, opening doors to more opportunities. Examples of the skills, knowledge, and experiences required to lead and deliver value at this level include but are not limited to: - Applying a learning mindset and taking ownership for your own development. - Appreciating diverse perspectives, needs, and feelings of others. - Adopting habits to sustain high performance and develop your potential. - Actively listening, asking questions to check understanding, and clearly expressing ideas. - Seeking, reflecting, acting on, and giving feedback. - Gathering information from a range of sources to analyze facts and discern patterns. - Committing to understanding how the business works and building commercial awareness. - Learning and applying professional and technical standards, upholding the Firm's code of conduct and independence requirements. Position: Senior Associate Domain: Data Science Conversational AI About Acceleration Center Mumbai/Bangalore: PwC connects people with diverse backgrounds and skill sets to solve important problems together and lead with purpose for clients, communities, and the world at large. Acceleration Centers (ACs) are diverse, global talent hubs focused on enabling growth for the organization and value creation for clients. The PwC Advisory Acceleration Center in Bangalore is part of our Advisory business in the US, focusing on developing a broader portfolio with solutions for Risk Consulting, Management Consulting, Technology Consulting, Strategy Consulting, Forensics, and vertical-specific solutions. PwC's high-performance culture is based on a passion for excellence with a focus on diversity and inclusion. Collaboration and support from a network of people are provided to help achieve goals, along with global leadership development frameworks and the latest digital technologies to facilitate learning and career advancement. The firm's philosophy revolves around caring for its people, making PwC one of the most attractive employers globally according to Universum. Commitment to Responsible Business Leadership, Diversity & Inclusion, work-life flexibility, career coaching, and learning & development contribute to making PwC one of the best places to work, learn, and excel. We are seeking an experienced senior associate with a strong analytical and Conversational AI background (minimum 4 years of overall professional experience) to join our Digital Contact Solutions team within the Analytics Consulting practice. Senior Associates will work as integral parts of business analytics teams in India, collaborating with 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 a quantitative discipline such as Computer Science, Engineering, Econometrics, Statistics, or Information Sciences like business analytics or informatics. Required Skills include: - Familiarity with the Conversational AI domain, conversational design & implementation, customer experience metrics, and industry-specific challenges. - Understanding of conversational (chats, emails, and calls) data and its preprocessing for training Conversational AI systems. - Strong problem-solving and analytical skills for troubleshooting and optimizing conversational AI systems. - Familiarity with NLP/NLG techniques such as parts of speech tagging, lemmatization, canonicalization, Word2vec, sentiment analysis, topic modeling, and text classification. - Expertise in NLP and NLU verticals, including Text to Speech (TTS), Speech to Text (STT), SSML modeling, Intent Analytics, Proactive Outreach Orchestration, OmniChannel AI & IVR, Intelligent Agent Assist, Contact Center as a Service (CCaaS), Modern Data for Conversational AI, and Generative AI. - Experience building chatbots using frameworks like RASA, LUIS, DialogFlow, Lex, etc., and building NLU model pipelines using feature extraction, entity extraction, intent classification, etc. - Understanding and experience with cloud platforms and their services for building Conversational AI solutions for clients. - Expertise in Python, PySpark, R, JavaScript frameworks, and visualization tools like Power BI, Tableau, Qlikview, Spotfire. - Experience in evaluating and improving conversational AI system performance through metrics and user feedback. - Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders. - Proven track record of successfully delivering conversational AI projects on time. - Familiarity with Agile development methodologies and version control systems. - Ability to stay updated with the latest advancements and trends in conversational AI technologies. - Strong strategic thinking and ability to align conversational AI initiatives with business goals. - Knowledge of regulatory and compliance requirements related to conversational AI applications. - Experience in the telecom industry or a similar field. - Familiarity with customer service operations and CRM systems. Nice To Have skills: - Familiarity with data wrangling tools such as Alteryx, Excel, and Relational storage. - ML modeling skills: Experience in statistical techniques like Regression, Time Series Forecasting, Classification, XGB, Clustering, Neural Networks, Simulation Modelling, etc. - Experience in survey analytics, organizational functions such as pricing, sales, marketing, operations, customer insights, etc. - Understanding of NoSQL databases for handling unstructured and semi-structured data. Roles and Responsibilities: As an Associate, you will be involved in the end-to-end project cycle, developing proposals to delivering the final product. You will support PwC leadership and lead client conversations to build suitable products. Specific responsibilities include: - Developing and executing project & analysis plans under the guidance of the project manager. - Translating business needs into data science solutions and actionable insights. - Handling client interactions regarding business problems. - Driving and conducting analysis using advanced analytics tools, coaching junior team members. - Writing and deploying production-ready code. - Building storylines and making presentations for client teams and PwC project leadership teams. - Contributing to knowledge and firm-building activities. What We Offer: - Policies around Work-from-Home and flexible working hours. - Mid-year appraisal cycle to reward performance on time. - Opportunities to solve impactful problems for clients. - Continuous learning and upskilling opportunities. - Access to Massive Online Open Courses (MOOC) at no cost. - World-class leadership guidance. - Diverse peer group support. - Interaction with senior client leadership, potential client visits, and permanent relocations as needed.,

The Digital Finance function within Novartis is responsible for driving the data and tools, AI and ML strategy for finance across the organization. We are seeking a highly skilled and detail-oriented Senior Manager, Data Analytics. Your primary responsibility in this role is to effectively manage and analyze large volumes of data, aiming to extract valuable insights. You should possess exceptional analytical skills and the ability to manipulate and interpret complex datasets using various technologies, including programming languages. Additionally, you should be able to build strong relationships with global stakeholders and effectively communicate business analyst needs to data engineers or software engineers. Key Requirements: - **Data Analysis:** Utilize statistical techniques and data mining methods to analyze large datasets. Identify trends, patterns, and correlations to uncover valuable insights and address critical business questions. - **Data Validation, Cleaning and Preprocessing:** Thoroughly clean, validate, and organize data to ensure accuracy and consistency. Identify and resolve data quality issues, such as missing values and outliers, to maintain data integrity. - **Data Visualization:** Present findings clearly through charts, graphs, and visualizations. Enable users to understand and interpret data effectively through visual representations. - **Ad-hoc Data Analysis:** Conduct ad-hoc data analysis to provide actionable recommendations. Proactively address emerging business needs by performing on-demand data analysis to support decision-making processes. - **Collaboration:** Work closely with cross-functional teams, including business analysts, data engineers, and data scientists. Understand their requirements and provide data-driven solutions, fostering effective teamwork and communication. - **Storytelling:** Generate insights from data and communicate them to key stakeholders, both technical and non-technical. Understand and explain the implications of the findings on processes, products, or business. - **Documentation:** Develop and maintain documentation related to data analysis processes. Ensure clear and comprehensive documentation to facilitate knowledge sharing and replication of analysis methods. - **Continuous Improvement:** Stay up-to-date with the latest trends and techniques in data analytics. Continuously explore and implement new tools and technologies to enhance data analysis processes, aligning with industry best practices. Essential Requirements: - Strong analytical skills with the ability to manipulate and interpret large datasets, knowledge of statistical techniques and data mining algorithms. - Proficiency in programming languages (e.g., Python) and strong SQL with an aptitude for learning other analytics tools. - Experience with BI tools like PowerBI or Qlik and ETL tools like Dataiku/Alteryx. - Effective communication skills to present findings to both technical and non-technical stakeholders. Desirable Requirements: - 5+ years of extensive experience in Data and/or Business Analytics, candidates with a background in Financial Data Analytics will be an added advantage. - Bachelor's or Master's degree in a relevant field such as mathematics, statistics, economics, or computer science. - Strong written and verbal communication skills. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients" lives. Ready to create a brighter future together Join our Novartis Network: Not the right Novartis role for you Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up. Benefits and Rewards: Read our handbook to learn about all the ways we'll help you thrive personally and professionally.,

As a Manager of Data Science at TCG Digital, you will be responsible for leading and managing the data science team. We are looking for a candidate with 3 to 5 years of experience and a Masters/Bachelors degree in Computer Science, Statistics, or Data Science from a reputable institute. Candidates with a background from tier 1 institutes or consultancy organizations are preferred. You should have experience in at least 2 full cycle data science projects, with a minimum of 3 years in data science and statistical analysis, along with a total of 4+ years of industry experience. Your role will involve developing new applications, maintaining existing ones, and applying a wide range of Machine Learning and Statistical techniques. Your expertise in predictive analytics solution design, data processing techniques, and hands-on implementation of machine learning algorithms will be crucial. Proficiency in Python/PySpark programming with data science libraries such as Numpy, Pandas, scikit-learn, and TensorFlow is required. Additionally, experience in using Excel for statistical and exploratory analysis is important. In this role, you will provide expert guidance to the team and project managers on domain-specific techniques in data science. You will own the data science solution design, roadmap, effort estimations, and reliability and performance of solutions. It will be your responsibility to build data science competency within the team, create frameworks for projects, and conduct training sessions. If you are passionate about data science, possess strong analytical skills, and have a background in management consultancy related to data science, we encourage you to apply for this position. For further details and to apply, please contact our Human Resources department at careers@tcgdigital.com.,

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. The candidate should have experience in managing Quality / Process Excellence initiatives for large engagements. They must have led/driven Six Sigma and Lean projects and possess the leadership ability to implement Six Sigma projects directed by Master Black Belts (MBB). Comfortable with managing and driving complex process changes, the candidate should have worked in cross-functional teams and demonstrated the ability to drive change in the process. Regular communication is essential to report to both Lean Six Sigma and other improvement initiatives at the Project / Engagement level for better engagement. The ideal candidate should have valid LSS GB (Lean Six Sigma Green Belt) and LSS BB (Lean Six Sigma Black Belt) certificates with good exposure in LSS DMAIC Project implementation. They should have a good business insight and be well-versed with all key IT business requirements. Effective communication skills are crucial to succeed in roles as Six Sigma leaders, mentors, coaches, and trainers. The ability to speak the language of the C-suite and the project floor equally well, along with good problem-solving and presentation skills, is necessary. Knowledge of advanced statistical tools like Minitab tool, JMP, etc., for doing DOE, AVOVA, simulation, etc., and understanding of basic and advanced statistical techniques in Minitab tools is required. Additionally, being an LSS Trainer (@YB, GB level) is preferred. At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges. Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. With a strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. The Group reported 2023 global revenues of 22.5 billion.,

As a Data Scientist at Micron Technology in Sanand Gujarat, you will have the opportunity to play a pivotal role in transforming how the world uses information to enrich life for all. Micron Technology is a global leader in innovating memory and storage solutions, driving the acceleration of information into intelligence and inspiring advancements in learning, communication, and progress. Your responsibilities will involve a broad range of tasks, including but not limited to: - Developing a strong career path as a Data Scientist in highly automated industrial manufacturing, focusing on analysis and machine learning of terabytes and petabytes of diverse datasets. - Extracting data from various databases using SQL and other query languages, and applying data cleansing, outlier identification, and missing data techniques. - Applying the latest mathematical and statistical techniques to analyze data and identify patterns. - Building web applications as part of your job scope. - Utilizing Cloud-based Analytics and Machine Learning Modeling. - Building APIs for application integration. - Engaging in statistical modeling, feature extraction and analysis, feature engineering, supervised/unsupervised/semi-supervised learning. - Demonstrating proficiency in data analysis and validation, as well as strong software development skills. In addition to the above, you should possess above-average skills in: - Programming fluency in Python. - Knowledge of statistics, machine learning, and other advanced analytical methods. - Familiarity with javascript, AngularJS 2.0, and Tableau, with a background in OOPS considered an advantage. - Understanding pySpark and/or libraries for distributed and parallel processing. - Experience with Tensorflow and/or other statistical software with scripting capabilities. - Knowledge of time series data, images, semi-supervised learning, and data with frequently changing distributions is a plus. - Understanding of Manufacturing Execution Systems (MES) is beneficial. You should be able to work in a dynamic, fast-paced environment, be self-motivated, adaptable to new technologies, and possess a passion for data and information with excellent analytical, problem-solving, and organizational skills. Furthermore, effective communication with distributed teams (written, verbal, and presentation) and the ability to work collaboratively towards common objectives are key attributes for this role. To be eligible for this position, you should hold a Bachelors or Masters degree in Computer Science or Electrical/Electronic Engineering, with a CGPA of 7.0 and above. Join Micron Technology, Inc., where our relentless focus on customers, technology leadership, and operational excellence drives the creation of high-performance memory and storage products that power the data economy. Visit micron.com/careers to learn more about our innovative solutions and opportunities for growth. For any assistance with the application process or to request reasonable accommodations, please reach out to hrsupport_india@micron.com. Micron Technology strictly prohibits the use of child labor and complies with all applicable laws, rules, regulations, and international labor standards. Candidates are encouraged to use AI tools to enhance their application materials, ensuring accuracy and truthfulness in representing their skills and experiences. Fabrication or misrepresentation will lead to immediate disqualification. As a Data Scientist at Micron Technology, you will be part of a transformative journey that shapes the future of information utilization and enriches lives across the globe.,

You will be joining the Microsoft Security organization, where security is a top priority due to the increasing digital threats, regulatory scrutiny, and complex estate environments. Microsoft Security aims to make the world a safer place by providing end-to-end security solutions to empower users, customers, and developers. As a Senior Data Scientist, you will be instrumental in enhancing our security posture by developing innovative models to detect and predict security threats. This role requires a deep understanding of data science, machine learning, and cybersecurity, along with the ability to analyze large datasets and collaborate with security experts to address emerging threats and vulnerabilities. Your responsibilities will include understanding complex cybersecurity and business problems, translating them into well-defined data science problems, and building scalable solutions. You will develop and deploy production-grade AI/ML systems for real-time threat detection, analyze large datasets to identify security risks, and collaborate with security experts to incorporate domain knowledge into models. Additionally, you will lead the design and implementation of data-driven security solutions, mentor junior data scientists, and communicate findings to stakeholders. To qualify for this role, you should have experience in developing and deploying machine learning models for security applications, preferably in a Big Data or cybersecurity environment. You should be familiar with the Azure tech stack, have knowledge of anomaly detection and fraud detection, and possess expertise in programming languages such as Python, R, or Scala. A Doctorate or Master's Degree in a related field, along with 5+ years of data science experience, is preferred. Strong analytical, problem-solving, and communication skills are essential, as well as proficiency in machine learning frameworks and cybersecurity principles. Preferred qualifications include additional experience in developing machine learning models for security applications, familiarity with data science workloads on the Azure tech stack, and contributions to the field of data science or cybersecurity. Your ability to drive large-scale system designs, think creatively, and translate complex data into actionable insights will be crucial in this role.,

At EY, you'll have the opportunity to shape a career that aligns with your unique strengths and aspirations, supported by a global network, inclusive environment, and cutting-edge technology. Your voice and perspective are valued as we strive to enhance EY's capabilities and create a more inclusive working world. Join the EY Parthenon team as the Artificial Intelligence (AI) and Generative AI (GenAI) Leader. This dynamic team focuses on delivering innovative client solutions across various industries, leveraging digital and AI technologies to drive transformation and growth. As the Executive Director of AI & GenAI at EYP, your role involves spearheading the integration of advanced AI solutions to address complex client challenges. Your responsibilities include collaborating with regional teams to identify AI opportunities, design tailored proposals, and lead client workshops to develop AI strategies aligned with business outcomes. Key responsibilities also include architecting end-to-end AI solutions, driving cross-sector innovation, ensuring ethical AI practices, and contributing to AI trends and thought leadership initiatives. To excel in this role, you should possess technical expertise in AI/GenAI lifecycle, proficiency in Python and AI frameworks, consulting acumen, and strong leadership skills. Qualifications for this position include significant experience in AI/data science projects, familiarity with Azure Cloud Framework, and expertise in statistical techniques and machine learning algorithms. Preferred qualifications include a PhD/MS/MTech/BTech in Computer Science or related field, research experience in AI applications, and strategic thinking abilities. Join us to lead AI innovation for Fortune 500 clients, collaborate with multidisciplinary experts, and accelerate your career in a culture of entrepreneurship and continuous learning. EY Global Delivery Services (GDS) offers a diverse and inclusive environment where you can collaborate with global teams and work on impactful projects across various business disciplines. You'll have access to continuous learning opportunities, transformative leadership resources, and a supportive culture that values individual contributions and fosters growth. EY is committed to building a better working world by creating long-term value for clients, promoting diversity and trust, and addressing complex global challenges through innovative solutions. Join us to be part of a team that asks better questions to find new answers and make a positive impact on the world.,

As a Senior Analyst - Data Analytics, you will leverage your 3+ years of experience in Data Analytics and reporting to design and build interactive dashboards and reports using Power BI and Microsoft Fabric. Your strong technical expertise in Power BI, Microsoft Fabric, Snowflake, SQL, Python, and R will be instrumental in performing advanced data analysis and visualization to support business decision-making. You will utilize your experience with Azure Data Factory, Databricks, Synapse Analytics, and AWS Glue to develop and maintain data pipelines and queries using SQL and Python. Applying data science techniques such as predictive modeling, classification, clustering, and regression, you will solve business problems and uncover actionable insights. Your hands-on experience in building and deploying machine learning models will be crucial in building, validating, and tuning machine learning models using tools such as scikit-learn, TensorFlow, or similar frameworks. Collaborating with stakeholders, you will translate business questions into data science problems and communicate findings in a clear, actionable manner. You will use statistical techniques and hypothesis testing to validate assumptions and support decision-making. Documenting data science workflows and maintaining the reproducibility of experiments and models will ensure the success of analytics projects. Additionally, you will support the Data Analytics Manager in delivering analytics projects and mentoring junior analysts. Professional certifications such as Microsoft Certified: Power BI Data Analyst Associate (PL-300), SnowPro Core Certification (Snowflake), Microsoft Certified: Azure Data Engineer Associate, and AWS Certified: Data Analytics Specialty are preferred or in progress to enhance your expertise in the field.,