387 Statistical Modeling Jobs - Page 9

Overview This individual will support the Sector DX Analytics and Perfect Store BU agendaS helping APAC Perefectstore agenda and leveraging that information to deliver solution for driving actionable insights for the APAC Sector and Key focus on Aus. By partnering with the Sector COEs , spearhead a dynamic team of Data Scientists , Category Management Analysts, PicOs team to drive the seamless execution of Perfect Store DX agenda throughout the sector Enhance operational efficiency and expand our capabilities by implementing cloud-based technologies and advanced visualization suites, ensuring standardized and scalable processes across our operations. Key responsbibilities will be to understand the data availability in different markets, develop solutions using advanced analytics, artificial intelligence, machine learning and deep learning projects to support perfect store agenda Act as the primary point of contact for Markets and Global teams Bring functional-level expertise in perfect store delivery Oversee the end-to-end process, including stakeholder engagement Guide service delivery experts in market calls/meetings, as required Work closely with sector + demand planners on contracting and prioritization Take on execution responsibilities where applicable This role is essential for driving the alignment and execution of the perfect-store initiative across multiple markets, especially as we move towards an E2E delivery model. Responsibilities Primary point of contact for Markets/Global. Responsible for end-to-end oversight, stakeholder engagement, overall delivery Guide service delivery experts for market calls/meetings, wherever required Work closely with sector + demand planner on demand contracting & prioritization Will also have execution responsibilities wherever required Responsible for perfect store models by leveraging advanced analytics, artificial intelligence, and machine learning projects Guide the Data Scince team in technical transalation Execution (Model building-Python based ML ) need basis Advise and share Advanced Analytics models with Sectors and Markets to leverage and build Advanced Analytics capability for all perfect store modules Develop, maintain, and apply statistical models to business questions - including clustering, segmentaion, forecasting etc. Provide responses to ad-hoc follow-ups when double-click (additional questions) required with tables/charts for relevant data Model Results presentation to stakeholders Qualifications Masters degree in Business, Marketing, Engineering: MBA a plus Must know how to write SQL and extract data from large and small databases Ability to translate business and technical requirements into non-technical terms Demonstrated experience in handling large data sets and relational databases High-level written and verbal communication skills Provide ad-hoc analysis and deliverables as requested Experience using Python or cloud based model execution ( Azure Dat Bricks, ML Flow ) Results oriented with the ability to complete assignments in a timely manner Proficient in Microsoft Excel and PowerPoint with the ability to quickly learn various in-house applications Detail-oriented with dedication to continuous improvement Essential Ability to work in diverse teams Language skills English business fluent Possess ability to analyze & benchmark competitive scenarios Excellent written and oral communication skills; consistently communicates using appropriate methods for situation and audience in clear, concise and professional manner Ability to work collaboratively and proactively with multi-functional teams Be flexible, organized and able to handle competing priorities Solution-oriented approach to problem solving Depth and breadth of syndicated data analytics and statistical modeling Complete understanding of internal & external data sources that could contribute to analytics roles across service centers Strong analytical thinking with proven ability to connect data & insight from category consumption, brands drivers, macro & micro trends, and future forces of consumer change and deliver clear implications for the business

Job ID: 199716 Required Travel :Minimal Managerial - No Location: :India- Pune (Amdocs Site) Who are we Amdocs helps those who build the future to make it amazing. With our market-leading portfolio of software products and services, we unlock our customers innovative potential, empowering them to provide next-generation communication and media experiences for both the individual end user and enterprise customers. Our employees around the globe are here to accelerate service providers migration to the cloud, enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQ Global Select Market, Amdocs had revenue of $5.00 billion in fiscal 2024. For more information, visit www.amdocs.com In one sentence Our Consultant role provides services for Amdocs and 3rd party applications, also runs programs, applies functional business standard methodologies to transform business processes, crafts and leads change to restructure and transform organizations and achieves business objectives. What will your job look like You will: Lead and define tuning database parameters and promote the standardization per product cross customers world wide Set business objectives and targets to ensure success. You will answer the call to integrate various functions and business plans within the Amdocs Quality Engineering Americas region. Be a focal point to the sales process by demonstrating experience and business insights to help the customer understand the value that Amdocs provides through its consulting and software solutions. Provide professional mentorship and coaching to project management and development teams, implementation groups as well as customer architects - internal and external Amdocs customers, including partners without database understanding. Build open lines of communication and develop processes and programs, that will encourage a multi-cultural team to achieve unit goals. Drive organizational integrity and assure excellent delivery across all regional engagements by enabling and promoting standard tools and practices used in the organization as well as drive out-of-the-box solutions that include introducing improvements to further build positive efficiency across operations. Craft and review test solutions and scenarios, to be implemented and executed in alignment with the scope settled during test planning, demonstrating knowledge and a broad understanding of the business process & requirements. Support various project aspects such as schedule, budget, risks, work tasks, etc. Lead consulting team, external contractors, Amdocs matrix teams, and/or customer personnel in a matrix manner Drive different engagements and develop their experience. All you need is... Minimum of 5 years of experience in the following: Building on domain expertise and industry leading methodologies to shape long-term development strategy for continued expansion. You'll develop and prioritize a list of recommended improvements to extend the value of the project. Domain and practice expertise - based on the need (e.g., BP, BR, PMO, data analytics) and nature of the role. Proven customer facing experience. Proven track record of meeting time limit and driving work Experience owning an autonomous stream within a large program, and potentially responsible for leading and overseeing resources in a matrix environment (matrix could contain one or more resources) Experience in identifying sales leads and opportunities resulting in revenue growth Experience in tasks related to sales cycles and in sales-related activities (RFPs, RFIs) Bachelor's degree in Science/IT/Computing or equivalent Certification PMP, PMI preferred, Post Graduate optional Why you will love this job: You will be able to use your specific insights to lead business change on a large scale and drive transformation within our organization. You will be a key member of a global, dynamic and highly collaborative team with various possibilities for personal and professional development. You will have the opportunity to work in multinational environment for the global market leader in its field! We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave! Amdocs is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to fostering a diverse and inclusive workforce

Job Title: AI/ML Engineer Location: Bangalore (Hybrid) Experience: 3+ years About the Role: We are looking for an experienced AI/ML Engineer with a strong background in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) implementation . You will play a key role in designing, developing, and deploying cutting-edge AI solutions that leverage state-of-the-art machine learning techniques to solve complex problems. Key Responsibilities: Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment . Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks. Develop and optimize ML models , leveraging classical and deep learning techniques. Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate . Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon ) for domain-specific use cases. Develop data pipelines for training, validation, and inference. Work on scalable AI solutions , ensuring performance and cost efficiency in deployment. Collaborate with cross-functional teams to integrate AI models into production applications. Required Skills & Qualifications: 3+ years of experience in AI/ML development. Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers . Hands-on experience with LLMs, GenAI, and RAG architectures . Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB). Knowledge of ML algorithms , deep learning architectures, and NLP techniques. Familiarity with cloud platforms ( AWS, GCP, or Azure ) and AI/ML model deployment. Experience with LangChain or LlamaIndex for LLM applications is a plus. Strong problem-solving skills and the ability to work in a fast-paced environment. Nice-to-Have Skills: Experience with multi-modal AI models (text, image, video). Knowledge of MLOps tools (Kubeflow, MLflow, or Vertex AI). Familiarity with prompt engineering and fine-tuning strategies . Why Join Us Work on cutting-edge AI projects in an innovative and collaborative environment. Opportunities for career growth and learning in the fast-evolving AI space. Competitive compensation, flexible work options, and great team culture. How to Apply: If you re passionate about AI and eager to build next-gen AI applications, we d love to hear from you!

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview Evaluate agreement price requests, execute DOA processes, and ensure commercial documentation (e.g., volume rebates, price guarantees, Long Term Pricing Agreement, Pricing Contract) is compliant. Drive agreement renewal and consolidation efforts to achieve 100% on-time renewals and eliminate redundant contracts, collaborating cross-functionally to align pricing with product/sales strategies and revenue recognition goals. Partners with Sales/Marketing, Business Development and Finance to correctly position product portfolio and establish pricing programs aligned with product/sales strategy and revenue recognition requirements. Forecast the impact of pricing changes, promotions, and rebate programs on revenue, providing actionable insights to sales, marketing, and finance teams. Process RFQs, and Special Price Requests in GPMS, prioritizing timely delivery and alignment with global pricing policies. Process agreement price and validity update via PROS. Utilize all TE pricing systems for daily work, including but not limited to PROS, GPMS, Tableau, SAP, TPEX, TED etc. What your background should look like: 3+ years of Pricing experience Experience in pricing products in different life cycle stages Experience in pricing new products and customer pricing analytics Self-motivated, ability to proactively drive business improvements Able to work with global cross-functional team efforts focused on process implementation & execution Competencies ABOUT TE CONNECTIVITY TE Connectivity plc (NYSETEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 9,000 engineers, working alongside customers in approximately 130 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn , Facebook , WeChat, Instagram and X (formerly Twitter). Location

Collect, process, and analyze large datasets to identify trends, patterns, and insights. Develop and maintain dashboards and reports to track key performance indicators (KPIs). Use statistical methods to analyze data and generate useful business reports. Collaborate with internal teams to understand data needs and provide data-driven solutions. Write and optimize SQL queries to extract data from databases. Utilize Python for data manipulation, analysis, and visualization. Present findings and recommendations to stakeholders in a clear and concise manner. Ensure data accuracy and integrity in all analytical outputs. Stay up-to-date with industry trends and best practices in data analysis and visualization Requirements: Bachelor s degree in Data Science, Statistics, Computer Science, or a related field. Minimum of 2 years of experience in a data analyst role with a focus on Python. Proficiency in Python for data analysis and visualization (e.g., pandas, numpy, matplotlib, seaborn). Experience with SQL and relational databases. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Excellent communication and presentation skills. Ability to work independently and collaboratively within a team. Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus. Knowledge of machine learning and statistical modeling techniques is a plus.

: In Scope of Position based Promotions (INTERNAL only) Job Title Risk Data Validation & Control (RDV&C) LocationPune, India Corporate TitleAS Role Description Risk Data Validation & Control (RDV&C) team is responsible for quality assurance activities in relation to critical, complex and technical risks and regulatory topics that affect Deutsche Bank (DB). RDV&C are part of the Credit Risk Data Unit (CRDU) team within Group Finance and their key stakeholders include but are not limited to: Business Finance Risk Management (CRM/MRM) Group Reporting Regulatory Policy Adherence Group Production IT Support What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Completion of required month end Quality assurance controls and to validate variance Credit Risk RWA Exposure Analysis Leverage exposure regulatory metric Other reg metric like CVA, EC, EL, Calculation of the exposure wherever required and posting in relevant platforms Navigate through the complex algorithms built in the risk engine to perform root cause analysis on the exposure calculations. Ultimately the calculated output should reflect the economics of the portfolio. Data Quality proactively manage the investigation and resolution of month end issues on the regulatory metrics Liaising with relevant stakeholder for RCA and reporting Providing subject matter expertise and analytics to support Finance and the Risk team Presentation of the reg metric to senior audience across the globe Participation in CTB initiatives Optimisation Focus on the capital number Your skills and experience Good Knowledge of regulatory requirements like ECB CRR, CRD, Basel requirements Understanding of exposure calculation under different models e.g. SA-CCR and IMM Knowledge of Exposure Metrics like EPE/EE, Statistical Modelling (Monte Carlo Simulation etc.) An analytical mindset and good approach to problem solving Experience of process change Strong interpersonal and communication skills Organized and structured working approach Strong attention to detail Reliable team player who enjoys working in an international environment Preferred IT Skills: Python, Advance Excel(VBA), Microstrategy, MS Access How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs

About us: 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 hasn t 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 Target s global team and has more than 4,000 team members supporting the company s 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, you ll be challenged to harness Target s 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 Target s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, and to elevate Target s culture and apply retail domain knowledge. Position Overview: As a Senior Data Scientist, you will be involved in end-to-end development of Ad-Tech products and capabilities that fulfil strategic priorities and power growth of Roundel, Target s Retail media business. You will leverage understanding of data and algorithms to build prototypes and run experiments to evaluate them against given specifications. As you follow agile processes, you will implement and deploy a scalable data science solution by using MLOps best practices across model development life cycle. You will collaborate with product and business partners to seek feedback on effectiveness of solution and identify future opportunities for enhancements. You will work with your peers to create a well-maintainable & tested codebase with relevant documentation. The exciting part of retail and mediaIt s 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) or equivalent experience 3+ years of professional experience or equivalent industry experience 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, Spark, Hadoop/Hive . 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 r egression, 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

Overview of the role As a member of the Enterprise Insights team at Target in India, you will expand efforts to help shape the ideal guest (consumer) experience and drive business and communication strategies and activations. This role supports the Category Insights team, which focuses on understanding consumer behaviors, attitudes, needs, and motivations across Target s core businesses. You will play a key role in bridging the gap between business and guests through research by collaborating with multiple stakeholders including merchandisers, marketers, category managers, and creative teams. You will be responsible for designing and executing guest or consumer research to support key initiatives. You will be the primary contact for internal partners and will identify the appropriate research method, data source and vendor/supplier to execute work. Target leverages both qualitative and quantitative techniques and various secondary and proprietary sources of data to conduct research studies. As an advocate for the guest, you ll be expected to frame findings into compelling insights and stories to establish guest understanding and empathy on the team and drive effective changes. Your work will have to include actionable recommendations for teams to then run with and achieve desired business goals for the organization. As a Sr. Marketing Researcher of Category Insights, you will report to the Sr. Manager, Insights and have responsibility for a Merchandise Pyramid. Responsibilities Identify best method or mix of methods for the research plan, timeline and resourcing. Work closely with cross-functional teams to identify and develop research plan based on analysis of knowledge gaps, project goals and risks. Conduct consumer research and report findings. Perform thorough qualitative/quantitative analysis to create meaningful insights and actionable recommendations. Work on an iterative approach through close alignment with business teams to influence impact of the project. Skills: Ability to operate using a range of quantitative survey methods and techniques, qualitative methods/techniques, ethnographic and anthropological research, statistical testing within quantitative methods, sampling, and data analysis and synthesis across methods Solve business problems with a consumer- centered approach. Strong grasp of quantitative data analysis and statistics from a business perspective, including generating and distilling reports from syndicated and secondary sources Conducting field research (both quantitative and qualitative), including preparing survey design/ discussion guides etc. Strong collaboration to effectively influence a diverse set of stakeholders. Communicate complex concepts clearly and persuasively across different audiences and varying levels of the organization. Manage ambiguity, work autonomously, meet deadlines and multi-task in an agile environment. Preferred Background Four-year degree or equivalent experience Retail/E-Commerce Experience Minimum of 5 years of Consumer Insights experience Significant experience with different methods of quantitative, qualitative, syndicated and first-party insight tools Experience analyzing syndicated and secondary data sources, as well as macro trend analysis

Preparing active skus list for amazon, walmart, ebay Magento stores. Preparing buy box report for the skus across the marketplaces. Ensure across the board are the prices according to our policy implemented. Responsible updating the pricing rules in our dashboard making the process automated with our any discrepancy in the primary database. Understand reports and take necessary data manipulation actions. Compiling data and performing analytics. Pull data from various sources using Excel formulas and arrange it in the templates as per the system requirements to upload. Manual Data Processing which includes Data cleansing, scrubbing, and transformation using MS Excel. Troubleshoot issues relating to items that are not active, or listings that might be suppressed due to price Responsible on Amazon StoreBuy box stuck sku price change, Responsible on price alerts Responsible on non-automated skus Responsible on having complete price structure on all the skus on store Assessing data from a variety of sources to gain insights into pricing strategies and market trends. Analyzing competitor pricing and market trends to increase market share and profitability. Applying statistical modeling methods to determine the potential impact of pricing strategies on profitability. Developing dynamic pricing tools to effectively respond to changing market needs and trends. Preparing and presenting pricing analysis findings to executives, marketing teams, and sales staff. Proficiency in MS-excel Should be comfortable to work with with numbers/statistics Should have excellent data manipulation skills Bachelors Degree (preferably in maths,statistics ) 4-5 years of relevant experience Good with numbers

Job Information Job Opening ID ZR_2200_JOB Date Opened 15/04/2024 Industry Technology Job Type Work Experience 5-8 years Job Title AI/ML Engineer City Chennai Province Tamil Nadu Country India Postal Code 600004 Number of Positions 4 Experience in CI/CD pipelines, scripting languages, and a deep understanding of version control systems (e.g. Git), containerization (e.g. Docker), and continuous integration/deployment tools (e.g. Jenkins) third party integration is a plus, cloud computing platforms (e.g. AWS, GCP, Azure), Kubernetes and Kafka. Experience in 4+ years of experience building production-grade ML pipelines. Proficient in Python and frameworks like Tensorflow, Keras, or PyTorch. Experience with cloud build, deployment, and orchestration tools Experience with MLOps tools such as MLFlow, Kubeflow, Weights & Biases, AWS Sagemaker, Vertex AI, DVC, Airflow, Prefect, etc., Experience in statistical modeling, machine learning, data mining, and unstructured data analytics. Understanding of ML Lifecycle, MLOps & Hands on experience to Productionize the ML Model Detail-oriented, with the ability to work both independently and collaboratively. Ability to work successfully with multi-functional teams, principals, and architects, across organizational boundaries and geographies. Equal comfort driving low-level technical implementation and high-level architecture evolution Experience working with data engineering pipelines. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Information Job Opening ID ZR_1852_JOB Date Opened 06/04/2023 Industry Technology Job Type Work Experience 5-8 years Job Title Business Analyst/Consulting City Bangalore Province Karnataka Country India Postal Code 560048 Number of Positions 2 You should have relevant experience of 5+ years in the industry with Consulting experience in Salesforce or any CRM platform . Must have Sales and Service domain experience. Domain experience in Fiber / EV / Tower / 5G is good to have You demonstrate autonomy, rigor, creativity and enjoy teamwork You have a good sense of customer service and good analytical and synthesis skills Should have the ability to demonstrate Empathy, Sharing, Ingenuity and Humility Stakeholder management You will be involved in several stages of the implementation project. Ability to prepare and conduct business workshops with international customers for gathering business requirements Ability to write User Stories, Functional requirements and test cases You will be required to perform prototype solution on the Salesforce platform during the design phase You will be conducting Design workshop with client to validate design options in the Salesforce platform. Ability to convert requirements into technical aspects like data modelling, point and click configuration in Salesforce platform. Key Responsibilities: Being evaluated on capability to understand customer needs, to provide value propositions to address those needs, to analyze and solve poorly defined problems. The role demands principled thinking, well-honed product marketing judgment, > Job Title Business Analyst/Consulting Relevant experience 5+ years in the industry with Consulting experience in Salesforce or any CRM platform. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Information Job Opening ID ZR_1640_JOB Date Opened 13/12/2022 Industry Technology Job Type Work Experience 8-12 years Job Title Sr Technical Lead City Hyderabad Province Telangana Country India Postal Code 500001 Number of Positions 4 Roles & Responsibilities: Ensure that high quality bio statistical and psychopharmacology support is provided by the Analytics team Ensure that staff implement innovative, rigorous bio statistical methods to meet study objectives Lead RWE (Real World Evidence) large scale analytics (LSA) studies. Run statistical programs in R, R shiny, deploy study packages and generate reliable RWE results in TFLs with minimal supervision. Provide statistical support for design, implementation, running, analysis and dissemination of results for clinical trials Design and analyze clinical research projects Create and execute Statistical Analysis Plans Strong Knowledge in RWE(Real World Evidence) with Bio statistics Background Experience in creating cohort analysis or Meta analysis or Survival analysis or Bayesian Versus Frequentest Approaches to Clinical Trials Experience in implementing generalized mixture models, Bayesian mixer models, Fixed-effects and Random-effects models Knowledge on Statistical Process Control, Stochastic Optimization Knowledgeable in R or Python programming Skills and shiny web app development Knowledge on Cloud platform like AWS Exposure to Healthcare data formats like HL7, OMOP, ODHSI Exposure to RWE, RWA, RWD Experience with data sources like registries, EMR Good communications Skills check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Knowledge of data science concepts and techniques, data visualization tools such as Tableau or Power BI. Knowledge of ML & data science platform such as Scikit-learn, Tensorflow. Experience with programming languages such as Python, and SQL Required Candidate profile Experience in Training or teaching

About PhonePe Group PhonePe is India s leading digital payments company with 50 crore (500 Million) registered users and 3.7 crore (37 Million) merchants covering over 99% of the postal codes across India. On the back of its leadership in digital payments, PhonePe has expanded into financial services (Insurance, Mutual Funds, Stock Broking, and Lending) as well as adjacent tech-enabled businesses such as Pincode for hyperlocal shopping and Indus App Store which is India's first localized App Store. The PhonePe Group is a portfolio of businesses aligned with the company's vision to offer every Indian an equal opportunity to accelerate their progress by unlocking the flow of money and access to services. Culture At PhonePe, we take extra care to make sure you give your best at work, Everyday! And creating the right environment for you is just one of the things we do. We empower people and trust them to do the right thing. Here, you own your work from start to finish, right from day one. Being enthusiastic about tech is a big part of being at PhonePe. If you like building technology that impacts millions, ideating with some of the best minds in the country and executing on your dreams with purpose and speed, join us! What to expect from this role We plan to expand our risk strategy team, and we are looking for experienced risk professionals who will work on building risk strategy for our lending business. They will work in a dynamic environment, and with cross-functional teams to help manage risk while continuously supporting the business to grow. They will be expected to work on: Build Risk strategies to manage Fraud and Credit Risk for Lending business Build best in class risk models Be able to clearly communicate results and recommendations to various stakeholders Manage the overall portfolio risk and predict ECL for the portfolio Evaluate alternate data sources to solidify the risk management Work with cross-functional teams to build the anomaly detection capabilities Collaborate with Product team to build the right product to manage risk Evaluate the effectiveness of the solutions and improve upon them in a continuous manner We expect them to have a mix of a strong technical background and to have a keen eye for business implications of their work The ideal candidate for this role should BTech/ BE from Tier-I & II colleges 1-2 years of experience in Risk Analytics preferably with FinTechs Experience in SQL, Python, MS Excel Preferably experience with Statistical modeling such as Logistic Regression, Decision Trees, Gradient Boosting models etc. Be agile and highly collaborative, communicate impressively Strong analytical acumen and problem solving Be skilled in building and managing business alliances Be highly data-driven and adept at balancing needs with business goals Thrive in a competitive and a result-oriented work environment PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog . Life at PhonePe PhonePe in the news

What lands you in this role Prepare and transform datasets through thorough data wrangling, cleansing, and preprocessing to enable high-quality analysis. Build and maintain efficient data ingestion pipelines to seamlessly integrate data from multiple sources. Conduct deep exploratory data analysis (EDA) to identify trends, patterns, and actionable insights. Leverage Python and SQL extensively for data manipulation, querying, and deploying analytical models. Use Excel and BI tools (Tableau, Power BI etc) for dashboards and data analysis. Translate complex model outputs into clear, actionable insights for both technical and business stakeholders. Partner closely with data engineers, analysts, and business teams to embed analytical solutions into existing workflows. Contribute to the development and optimization of statistical models and machine learning algorithms for targeted business problems. Support the design and validation of forecasting models to anticipate future business outcomes. Keep abreast of emerging techniques and innovations in data science, machine learning, and statistical modeling. Required Skills & Qualifications: 3 to 6 years of experience in Business Analysis, statistics, Data cleaning and transformation and related fields. Good proficiency in statistical modeling and hypothesis testing. Hands-on experience with Python (NumPy, Pandas, Scikit-learn, etc.). Advanced SQL skills for querying and manipulating large datasets. Experience in Excel and creating Dashboards is a plus. Experience in data wrangling, preprocessing, and feature engineering. Knowledge of data ingestion techniques and pipeline development. Ability to interpret predictive models, classification, regression, and clustering algorithms. Strong analytical and problem-solving skills with a keen eye for detail. Excellent communication and storytelling skills to present insights effectively.

Description We are seeking an experienced Data Scientist with expertise in Machine Learning to join our team in India. The ideal candidate will have a strong background in data analysis and modeling, and will be responsible for developing innovative solutions to drive business growth. Responsibilities Develop and implement machine learning models for various business applications. Analyze and interpret complex data sets and provide actionable insights. Collaborate with cross-functional teams to understand data requirements and deliver solutions. Optimize existing machine learning algorithms for better performance and accuracy. Conduct research to stay updated on the latest industry trends and technologies. Skills and Qualifications Proficiency in programming languages such as Python, R, or Java. Strong knowledge of machine learning algorithms and frameworks such as TensorFlow, Keras, or Scikit-learn. Experience with data manipulation and analysis using SQL, Pandas, and NumPy. Familiarity with big data technologies like Hadoop, Spark, or AWS. Excellent problem-solving skills and ability to work with large datasets. Strong communication skills to present findings and recommendations effectively.

Skill required: Property & Casualty - Catastrophe Risk Management Designation: Analytics and Modeling Senior Analyst Qualifications: Any Graduation/12th/PUC/HSC Years of Experience: 5 to 8 years What would you do? Ability to perform quarterly CAT risk aggregation and deliver insightful and actionable reporting to internal stakeholdersUnderstand complex treaty structure and apply to portfolio risks Provide stakeholders explanation of portfolio results and trending over time, model change impacts, and data quality and limitationsSupport ad-hoc reporting, corporate and unit level reinsurance placements, and deliver quarterly CAT data to external partnersApply CAT modeling best practices by continually understanding the evolving process within Client and build process efficienciesCoaching and develop members within teamMaintain good documentation of results, issues, data quality etc and have regular dialogue with each line of business to provide feedbackClaims settlements related any client property they own or any accidentsCatastrophe Risk Management refers to the process of guiding insurers how to manage risk aggregations, deploy capital, and price insurance coverage by using computer assisted calculations to estimate the losses that could be sustained due to a catastrophic event such as a hurricane or earthquake. What are we looking for? Minimum 5 years of catastrophe modelling experience - Strong analytical, problem-solving approach – strong knowledge on various reinsurance is mustExperience in using RMS applications and / or AIR CAT model(s) is mustClear communicator, able to structure an argument and explain complex issues in a simple way – faster learning capabilitiesAdvanced knowledge in MS Office applications (Outlook, Word, Excel & PowerPoint) Willingness to work and handle multi tasking in a rapidly changing environment with some firm deadlinesShould have better SQL skills and understand the database schema – additional programming (R/VBA) is advantageAbility to work independently. Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day to day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Please note that this role may require you to work in rotational shifts Qualification Any Graduation,12th/PUC/HSC

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS’s Beyond Healthcare Analytics (BHCA) Team is shaping one of the key growth vector area for ZS, Beyond Healthcare engagement, comprising of clients from industries like Quick service restaurants, Technology, Food & Beverage, Hospitality, Travel, Insurance, Consumer Products Goods & other such industries across North America, Europe & South East Asia region. BHCA India team currently has presence across New Delhi, Pune and Bengaluru offices and is continuously expanding further at a great pace. BHCA India team works with colleagues across clients and geographies to create and deliver real world pragmatic solutions leveraging AI SaaS products & platforms, Generative AI applications, and other Advanced analytics solutions at scale. Associate Consultant, Customer Success, BHCA: Customer Success – Associate Consultant design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to drive impact on client business (topline). This person will lead the engagement for AI based SaaS product deployment to clients across industries. Leverage their strong Data Science, analytics and engineering skills to build Advanced analytics processes, build scalable and operational process pipelines and find data-driven insights that help our clients solve their most important business problems and bring optimizations. Associate Consultants also engage with Project Leadership team and clients to help them understand the insights, summaries, implications and make plans to act on them. What You’ll Do: Deep analytics-tech expertise: Develop and implement advanced algorithms that solve complex business problems in a computationally efficient and statistically effective manner leveraging tools like PySpark, Python, SQL on Client/ZS cloud environment Execute statistical and data modelling techniques (e.g. hypothesis testing, A/B Testing setup, marketing impact analytics, statistical validity etc.) on large data sets to identify trends, figures and other relevant information with scalable and operational process implementations. Evaluating emerging datasets and technologies that may contribute to our analytical platform including good understanding of Generative AI capabilities and SaaS products. Communication, collaboration, unstructured problem solving and client engagement (in a high performing and high intensity team environment) Problem solving and Client engagement Understand client business priorities, develop product use cases, do proforma analysis for estimating business opportunity, and deploy the use case for the clients. Collaboration: Work in a cross-functional team environment to lead the client engagement and collaborate on holistic solutions comprising of best practices from Frontend and Backend engineering, Data Science, and ML Engineering area. Storyboarding & impact communication Build effective storyboards to communicate solution impact to clients and ZS Leadership Scaling mindset: Provide a structure to client engagement, build and maintain standardized and operationalized Quality Checks on team’s work and ensuring high quality client deliverables Team management Export best practices and learnings to broader team and mentor Associates on teams What You’ll Bring: Bachelor's degree in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytics and quantitative coursework is required Knowledge of programming - Python (Deep Expertise), Pyspark, SQL Expertise in machine learning, regression, clustering, and classification models (preferably in a product environment) Knowledge of big data/advanced analytics concepts and algorithms (e.g. social listening, recommender systems, predictive modeling, etc.) Excellent oral and written communication skills Strong attention to detail, with a value-addition mindset Excellent critical thinking and problem-solving skills High motivation, good work ethic and maturity. 3-5 years of relevant post-collegiate work experience, preferably in industries like B2C, Product companies, in execution roles focused on Data & Decision Sciences, Data Engineering, Stakeholder management and building scalable processes. Should have hands on analytics experience where the candidate has worked on the algorithms / methodology from scratch and not merely executed existing codes and processes. Ability to coach, mentor juniors on the team to drive on the job learning & expertise building Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What You’ll Do Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What You’ll Bring A master’s degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc. ) . A proficiency in at least one programming language (e.g., Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English. Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What You’ll Do Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What You’ll Bring A master’s degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc A proficiency in at least one programming language (e.g., Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English. Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

Developing models: Building and improving mathematical models for trading, forecasting, or data processing Conducting research: Analysing large datasets to identify trends and insights, and conducting research on financial markets and economic conditions Coding Skills: Strong coding skills in Python and other languages Using unconventional data: Using unconventional data sources to drive innovation Translating algorithms: Translating mathematical models into algorithms Managing Risk: Building Mathematical Models to help manage risk of a product or strategy Predictive Modelling: Building Predictive Model based on historical data on Monte Carlo Modelling Pseudo Code: Capability to write Pseudo Code and Python Code to test a mathematical model Systems: Good understanding of trading systems and trade execution process to limit latency and slippages Market Understanding: Good understanding of the Financial and Capital Markets Other Skills: Oversee the development and implementation of investment strategies using mathematical and statistical tools Conversant in the use of AI, ML and LLMs to improve productivity Compliance and Risk Management: Ensure the firms practices comply with SEBI regulations and other relevant legal requirements. Identify mathematical and statistical models for risk management of strategies and products Implement and monitor internal controls to manage and mitigate risks effectively. Qualifications: Bachelors degree in Maths, Master Preferred or Pursuing PhD in Maths Relevant experience in mathematics, statistics, computer science, or finance preferred Minimum of 3-5 years of experience in building mathematical models and Data Sciences Proven ability to develop and execute mathematical models in live market strategies High ethical standards and a commitment to acting in clients' best interests.

Job Opportunity: Senior Data Analyst Bangalore Location: Bangalore, India Company: GSPANN Technologies Apply: Send your resume to heena.ruchwani@gspann.com GSPANN is hiring a Senior Data Analyst with 57 years of experience to join our dynamic team in Bangalore! What Were Looking For: Education: Bachelor’s degree in Computer Science, MIS, or a related field Experience: 5–7 years in data analysis, with a strong ability to translate business strategy into actionable insight Advanced SQL expertise Proficiency in Tableau , Power BI , or Domo Experience with AWS , Hive , Snowflake , Presto Ability to define and track KPIs across domains like Sales, Consumer Behavior, and Supply Chain Strong problem-solving skills and attention to detail Excellent communication and collaboration abilities Experience working in Agile environments Retail or eCommerce domain experience is a plus If this sounds like the right fit for you, don’t wait— send your updated resume to heena.ruchwani@gspann.com today!

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here youll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; > Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systemsthe ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZSs Beyond Healthcare Analytics (BHCA) Team is shaping one of the key growth vector area for ZS, Beyond Healthcare engagement, comprising of clients from industries like Quick service restaurants, Technology, Food & Beverage, Hospitality, Travel, Insurance, Consumer Products Goods & other such industries across North America, Europe & South East Asia region. BHCA India team currently has presence across New Delhi, Pune and Bengaluru offices and is continuously expanding further at a great pace. BHCA India team works with colleagues across clients and geographies to create and deliver real world pragmatic solutions leveraging AI SaaS products & platforms, Generative AI applications, and other Advanced analytics solutions at scale. Associate Consultant, Customer Success, BHCA: Customer Success Associate Consultant design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to drive impact on client business (topline). This person will lead the engagement for AI based SaaS product deployment to clients across industries. Leverage their strong Data Science, analytics and engineering skills to build Advanced analytics processes, build scalable and operational process pipelines and find data-driven insights that help our clients solve their most important business problems and bring optimizations. Associate Consultants also engage with Project Leadership team and clients to help them understand the insights, summaries, implications and make plans to act on them. What Youll Do: Deep analytics-tech expertise: Develop and implement advanced algorithms that solve complex business problems in a computationally efficient and statistically effective manner leveraging tools like PySpark, Python, SQL on Client/ZS cloud environment Execute statistical and data modelling techniques (e.g. hypothesis testing, A/B Testing setup, marketing impact analytics, statistical validity etc.) on large data sets to identify trends, figures and other relevant information with scalable and operational process implementations. Evaluating emerging datasets and technologies that may contribute to our analytical platform including good understanding of Generative AI capabilities and SaaS products. Communication, collaboration, unstructured problem solving and client engagement (in a high performing and high intensity team environment) Problem solving and Client engagement Understand client business priorities, develop product use cases, do proforma analysis for estimating business opportunity, and deploy the use case for the clients. Collaboration: Work in a cross-functional team environment to lead the client engagement and collaborate on holistic solutions comprising of best practices from Frontend and Backend engineering, Data Science, and ML Engineering area. Storyboarding & impact communication Build effective storyboards to communicate solution impact to clients and ZS Leadership Scaling mindset: Provide a structure to client engagement, build and maintain standardized and operationalized Quality Checks on teams work and ensuring high quality client deliverables Team management Export best practices and learnings to broader team and mentor Associates on teams What Youll Bring: Bachelor's degree in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytics and quantitative coursework is required Knowledge of programming - Python (Deep Expertise), Pyspark, SQL Expertise in machine learning, regression, clustering, and classification models (preferably in a product environment) Knowledge of big data/advanced analytics concepts and algorithms (e.g. social listening, recommender systems, predictive modeling, etc.) Excellent oral and written communication skills Strong attention to detail, with a value-addition mindset Excellent critical thinking and problem-solving skills High motivation, good work ethic and maturity. 3-5 years of relevant post-collegiate work experience, preferably in industries like B2C, Product companies, in execution roles focused on Data & Decision Sciences, Data Engineering, Stakeholder management and building scalable processes. Should have hands on analytics experience where the candidate has worked on the algorithms / methodology from scratch and not merely executed existing codes and processes. Ability to coach, mentor juniors on the team to drive on the job learning & expertise building Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What You’ll Do Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What You’ll Bring A master’s degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc.). A proficiency in at least one programming language (e.g., Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English. Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

We are seeking a highly skilled Advanced Analytics Specialist to join our dynamic team. The successful candidate will be responsible for leveraging advanced analytics techniques to derive actionable insights, inform business decisions, and drive strategic initiatives. This role requires a deep understanding of data analysis, statistical modeling, machine learning, and data visualization. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop and implement advanced analytical models and algorithms to solve complex business problems, analyze large datasets to uncover trends, patterns, and insights that drive business performance. Collaborate with cross-functional teams to identify key business challenges and opportunities, Create and maintain data pipelines and workflows to ensure the accuracy and integrity of data, Design and deliver insightful reports and dashboards to communicate findings to stakeholders. Stay up to date with the latest advancements in analytics, machine learning, and data science. Provide technical expertise and mentorship to junior team members. QualificationsBachelor’s or master’s degree in data science, Statistics, Mathematics, Computer Science, or a related field. Proven experience in advanced analytics, data science, or a similar role. Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools like Tableau, Power BI, or similar. Strong understanding of statistical modelling and machine learning algorithms. Excellent analytical, problem-solving, and critical thinking skills. Ability to communicate complex analytical concepts to non-technical stakeholders. Experience with big data technologies (e.g., Hadoop, Spark) is a plus Preferred technical and professional experience Familiarity with cloud-based analytics platforms (e.g., AWS, Azure). Knowledge of natural language processing (NLP) and deep learning techniques. Experience with project management and agile methodologies