1143 Statistical Modeling Jobs - Page 9

We are seeking a highly skilled Data Scientist to join our AI Center of Excellence (CoE) in Pune. In this role, you will work with complex financial datasets, develop machine learning models, and provide data-driven insights to support business decisions and product innovation. The ideal candidate will be hands-on, analytical, and dedicated to solving real-world problems using data. Required Skills & Experience: - 4-6 years of proven experience in Data Science, preferably in finance or FinTech. - Strong coding skills in Python, R, and SQL. - Experience with machine learning frameworks like Scikit-learn, TensorFlow, or PyTorch. - Solid foundation in statistical modeling, data analysis, and deep learning. - Familiarity with cloud platforms such as AWS, Azure, or GCP. - Proficiency in data visualization tools like Power BI, Tableau, or Matplotlib. - Excellent communication skills for presenting data-driven insights effectively. Preferred Qualifications: - Master's or Bachelor's degree in Data Science, Computer Science, Statistics, or related field. - Exposure to NLP, generative AI, or large language models. - Experience with MLOps practices for deploying and monitoring models. Key Responsibilities: - Analyze large-scale financial datasets to identify insights and trends. - Develop and deploy machine learning models for predictive analytics. - Translate business challenges into data science problems and propose solutions. - Collaborate with product and business teams to implement data-driven features. - Communicate analytical findings clearly through visualizations for non-technical stakeholders. - Explore and adopt emerging tools, techniques, and best practices in AI/ML continuously. This position is based in Pune and requires immediate joining. Hybrid or in-office availability is expected as per project requirements. GlobalLogic offers a culture of caring, learning and development opportunities, interesting & meaningful work, balance and flexibility, and a high-trust environment. We are committed to continuous growth and creating innovative solutions with our clients. Join us to be part of a global digital engineering partner known for impactful and cutting-edge solutions.,

The Model/Anlys/Valid Analyst II role at Citi is a developing professional position where you will apply your specialty area knowledge to monitor, assess, analyze, and evaluate processes and data. You will be responsible for identifying policy gaps, formulating policies, interpreting data, making recommendations, and researching factual information. Additionally, you will identify inconsistencies in data, define business issues, and formulate recommendations on policies, procedures, or practices. It is crucial to integrate established disciplinary knowledge within your specialty area with a basic understanding of related industry practices. You will develop a working knowledge of industry practices and standards. In this role, you will have a limited but direct impact on the business through the quality of tasks and services you provide, with the impact restricted to your own team. Your responsibilities will include developing, enhancing, and validating methods of measuring and analyzing risk across all risk types. You may also be involved in developing, validating, and strategizing the use of scoring models and related policies. Additionally, you will lead projects related to model development, programming, integration, testing, and validation. Furthermore, you will provide analytical support on analysis and benchmarking, prepare regular and ad-hoc reports according to Risk Management Team priorities, participate in projects aimed at improving risk analytics, modeling, and validation systems, and work on the constant improvement of reporting systems and optimization of Credit MIS Reports. It is essential to appropriately assess risk when making business decisions, maintain compliance with applicable laws and regulations, and uphold ethical standards. To excel in this role, you should have demonstrated programming skills (SAS, SQL, R, etc.), knowledge of tools like VBA, basic understanding of secured/unsecured banking products and US banking, good communication skills, analytical capabilities to identify root causes and trends, proficiency in Microsoft Office, and at least 2 years of experience in model implementation/validation/development. A Bachelor's/University degree or equivalent experience is required. This position within Global Consumer Risk Management of Citi focuses on developing CCAR/DFAST stress loss models for secured portfolios such as Home Equity and Mortgage. Your core responsibilities will include obtaining and conducting QA/QC on data required for stress loss model development, developing segment and/or account level stress loss models, performing all necessary tests, validating and recalibrating models annually, delivering comprehensive model documentation, and collaborating with cross-functional teams. For this role, an advanced degree (Masters required or PhD preferred) in Statistics, Applied Mathematics, Operations Research, Economics, or related fields is necessary. Strong programming skills (SAS, R, Matlab, etc.) and quantitative analytics expertise are essential, along with 2-4 years of analytic experience. Experience in quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, and econometric modeling of consumer credit risk stress losses is preferred. You should possess good communication skills, work effectively with moderate supervision, and be able to work as an individual contributor. This role offers the opportunity to work on challenging projects in a dynamic and collaborative environment within the risk management field at Citi. If you require a reasonable accommodation to use our search tools or apply for a career opportunity due to a disability, please review Accessibility at Citi. You can also refer to Citi's EEO Policy Statement and the Know Your Rights poster for more information.,

Are you ready to embark on an exciting journey in the world of fashion and e-commerce Namshi, the leading online multi-brand fashion and beauty platform in the Middle East, is looking for talented planners/merchandisers to join our dynamic #NamFam. We are a community built around young people who are making waves in the region. They're changing the future, and we're right next to them every step of the way. If you're passionate, innovative, and eager to be a part of a company whose mission is to be the region's favorite closet, then Namshi is the place for you. Discover your potential with us and help us redefine the way people shop online and ignite a new generation of personal expression through style. Let's move together! Location: Dubai, UAE **Key responsibilities:** **Forecasting & Planning** - Review and analyze sales trends, research demand drivers, develop statistical planning models, and implement & review results. - Create a rolling 12-month forecast plan on a monthly basis to build up future stock levels. - Calculate the stock requirement based on the forecast and manage purchases accordingly. - Plan & monitor replenishment across territories by establishing replenishment parameters. - Monitor aging stock level and build a liquidating strategy with the Buying team. - Collaborate with the Buying and relevant business leads to resolve out-of-stock or stock shortage situations. **Inventory Stock Optimization** - Maintain optimum category inventory levels at Concept/Territory considering sale requirements and working capital constraints. - Ensure no instances of category stock outs occur due to any discrepancies in merchandise planning. **Stock Coordination** - Supervise stock transfers and reconciliation. - Ensure processes are in place and track adherence for all stock movements with suppliers & warehouse. **Merchandise Planning & Replenishment** - Track and drive category P&Ls to monitor top line and profitability goals. - Analyze sales trends and product life cycles to identify and prioritize opportunities. - Work closely with Buying teams to identify bestsellers and maximize product sales. - Prepare and maintain department/category merchandise MIS analytics based on actual sales, forecasts, inventory checks, forthcoming events, replenishment needs, etc. **Margin & Pricing Optimization** - Develop a comprehensive pricing/discount strategy and roadmap to maximize sell-through by working closely with the buying teams. - Maintain Price Sheets and suggest category-wise pricing based on sales aging & margin. - Collaborate with relevant teams to propose and finalize suitable promotion strategies while monitoring competitor efforts to drive in-season trade. **Performance Tracking** - Keep a constant update on department tracking to budgets and use this in line with the shipment plan to ensure product availability. - Run week/month-end reports to discuss performance against target sales. **What you'll need:** - Bachelor's degree in Business, Economics, Mathematics, Engineering, or Statistics. - Minimum of 5-7 years of relevant experience in demand planning and forecasting in a multi-branded environment in an E-commerce company. - Strong knowledge of Fashion Buying within an E-commerce organization. - Core demand planning and forecasting experience and data modeling. - Management of P&L. - Advanced level of Excel is mandatory. - Strong mathematical and statistical knowledge. - Analytical Thinking. - Accountability/Ownership. - Strong problem-solving skills. - Highly motivated self-starter. The ideal candidate will excel in a fast-paced, multi-tasked, high-pressure environment with a strong passion for delivering results. A successful history of working in teams solving challenging topics and willingness to roll up sleeves to get the job done are essential qualities at Namshi. If you resonate with our values and are ready to embrace this incredible journey, we welcome you to join us at Namshi!,

METRO Global Solution Center IN is looking for Manager - Data Science & AI to join our dynamic team and embark on a rewarding career journey Delegating responsibilities and supervising business operations Hiring, training, motivating and coaching employees as they provide attentive, efficient service to customers, assessing employee performance and providing helpful feedback and training opportunities. Resolving conflicts or complaints from customers and employees. Monitoring store activity and ensuring it is properly provisioned and staffed. Analyzing information and processes and developing more effective or efficient processes and strategies. Establishing and achieving business and profit objectives. Maintaining a clean, tidy business, ensuring that signage and displays are attractive. Generating reports and presenting information to upper-level managers or other parties. Ensuring staff members follow company policies and procedures. Other duties to ensure the overall health and success of the business.

Key Skill Required: Skilled in Playwright for UI test automation across browsers. Experience with BDD using Cucumber for business collaboration. Integrated test scripts with CI/CD and analyzed test results. Proficient in Core Java, Selenium, JUnit, and TestNG. Hands-on with REST Assured, Maven, and Docker. Knowledge of hybrid frameworks and defect reporting.

Role Overview We are seeking a Lead for our Model Risk Management team. The role involves leading model validation initiatives and developing risk management frameworks. Key Responsibilities Lead model risk management initiatives Develop validation frameworks and methodologies Review complex models and validation reports Guide and mentor team members Ensure regulatory compliance Interact with stakeholders and regulators Requirements Education Masters/PhD in Mathematics, Statistics, or related field Professional certifications (FRM, PRM) preferred Experience 8+ years of experience in model risk Strong background in quantitative analysis Experience with regulatory requirements Technical Skills Expertise in statistical modeling Knowledge of risk models and methodologies Understanding of machine learning Proficiency in programming languages Soft Skills Strong leadership and mentoring abilities Excellent communication skills Strategic thinking and decision making

Role Overview We are seeking a Senior Consultant in Model Risk to join our team. The role involves conducting model validations, developing validation frameworks, and providing expert guidance on model risk management practices. Key Responsibilities Lead model validation projects and assessments Develop and enhance model validation frameworks Review model documentation and testing results Provide technical guidance to junior team members Collaborate with stakeholders to ensure model compliance Prepare detailed validation reports and presentations Requirements Education Masters degree in Mathematics, Statistics, Economics, or related quantitative field Professional certifications (FRM, PRM) are a plus Experience 5+ years of experience in model risk management or validation Strong background in statistical modeling and risk management Experience with regulatory requirements and guidelines Technical Skills Expertise in statistical analysis and modeling techniques Proficiency in programming languages (Python, R, SAS) Knowledge of risk models (Credit, Market, Operational) Understanding of machine learning and AI models Soft Skills Strong analytical and problem-solving skills Excellent communication and presentation abilities Leadership and mentoring capabilities

1. Organize training programs on Planning & Installation for all new dealers. 2. Maintain the profitability as per the costing furnished by sales team. 3. Handle all major projects and complete within the agreed timeline. 4. Visit all dealer jobs periodically and maintain the quality of Installation as per the standards. 5. Train and develop the dealer team on all new products introduced 6. Maintain good PR with all key customers during the installation stage and collect satisfaction letters. 7. Provide the necessary cost variance reports for all major jobs executed. 8. Release timely work orders to dealers on NAD / Key customer jobs. 9. Submit necessary documentations and bills to customers and facilitate timely collection. 10. Furnish continuous feedback on the product quality to the Product Managers and contribute for improvement. 11. Support Channel Partners with necessary spares during the pre commissioning failures 12. Prepare pre commissioning failure reports to Quality / Factory and get necessary credit to branch. 13. Claim timely insurance on damaged machines delivered at warehouse/sites and follow up for necessary settlement. 14. Ensure to get credits for spares issues during pre-commissioning failure from factory 15. Ensure there are no escalations, in case of any escalations resolve the same at earlie Key Responsibilities: Short Info Posted: 0 day(s) ago Location: Jaipur Qualifications: BE Experience: 3 Years - 0 Months To 6 Years - 0 Months

To lead a small team and ensure the seamless execution of delegate registration and data management for the Zak World of Fa ades conference series. This role is pivotal in delivering a high-quality registration experience for attendees, maintaining accurate data records, and supporting the overall success of the event operations. Qualification: Graduate. Preferably a PGDM in Events Management. Should have handled RSVP for 2-3 years. Fluency in spoken English is a must. . Please make sure to mention the title of the job position youre applying for in the subject line of your email.

You will be responsible for understanding complex and critical business problems and formulating an integrated analytical approach to mine data sources. Your role will involve employing statistical methods and machine learning algorithms to contribute to solving unmet medical needs, discovering actionable insights, and automating processes to reduce effort and time for repeated use. You will manage the implementation and adherence to the overall data lifecycle of enterprise data, from data acquisition or creation through enrichment, consumption, retention, and retirement. This will enable the availability of useful, clean, and accurate data throughout its lifecycle. Your high agility will allow you to work across various business domains effectively. Additionally, you will integrate business presentations, smart visualization tools, and contextual storytelling to translate findings back to business users with a clear impact. You will independently manage budgets, ensure appropriate staffing, and coordinate projects within the area. If you are managing a team, you will empower the team, provide guidance and coaching, with initial guidance from more senior leaders supervised. This role may be your first people manager experience. In this role, your major accountabilities will include project managing your tasks, collaborating with allied team members, and proactively planning and managing change. You will work with internal stakeholders, external partners, and cross-functional teams to solve critical business problems. Understanding life science data sources, researching and co-developing new algorithms, methods, statistical models, and business models will also be part of your responsibilities. You will quickly learn to use tools, data sources, and analytical techniques needed to answer a wide range of critical business questions. Supporting the evaluation of technology needs, proposing research articles for application to business problems, developing automation for data management, and articulating solutions to business users will be key aspects of your role. Furthermore, you will work with senior data science team members to present analytical content concisely and effectively, provide understandable and actionable business intelligence for key stakeholders, and may lead a small team or provide in-depth technical expertise in a scientific/technical field, depending on your career path. Reporting of technical complaints, adverse events, and special case scenarios related to Novartis products within 24 hours of receipt, as well as distribution of marketing samples, may also be required. Your key performance indicators will include the achievement and governance endorsement of data management and advanced analytics program tollgates, as well as successful implementation based on KPIs and program objectives. Minimum Requirements: - In-depth mastery of the external environment and trends. - 15+ years of relevant experience in Data Science. - 2+ years of relevant experience in Data Science. - Track record delivering global solutions at scale. - Strong professional network across Academia. Required Skills: - Apache Hadoop. - Applied Mathematics. - Big Data. - Curiosity. - Data Governance. - Data Literacy. - Data Management. - Data Quality. - Data Science. - Data Strategy. - Data Visualization. - Deep Learning. - Machine Learning (ML). - Machine Learning Algorithms. - Master Data Management. - Proteomics. - Python (Programming Language). - R (Programming Language). - Statistical Modeling. Language: - English. Novartis is dedicated to helping people with diseases and their families by fostering a community of smart, passionate individuals like yourself. By collaborating, supporting, and inspiring each other, we aim to achieve breakthroughs that positively impact patients" lives. If you are ready to contribute to creating a brighter future, you can learn more about our values and culture at [Novartis Careers](https://www.novartis.com/about/strategy/people-and-culture).,

As a global media company producing high-quality content that reaches millions of users worldwide, Cond Nast is seeking a talented Senior Director of Data Science to drive data-driven decision making and innovation across our portfolio of prestigious brands. In this pivotal role based in Chennai, TN, you will lead a team of data scientists to develop ML and AI-driven products that enhance user experiences, content personalization, and drive business growth. Reporting directly to the executive leadership, you will define and execute the data science roadmap aligned with Cond Nast's business objectives. You will foster a culture of data-driven decision-making, effectively communicating complex data insights to technical and non-technical audiences. Your strategic leadership will be instrumental in identifying opportunities for leveraging data science to drive innovation and competitive advantage across the company. Collaboration is key at Cond Nast, and you will work closely with international colleagues and stakeholders in our US, UK, and India headquarters. You will lead, mentor, and grow a high-performing team of data scientists, promoting collaboration, innovation, and professional development. By collaborating with cross-functional teams such as Product, Analytics, Engineering, Design, and UX, you will identify data science opportunities and deliver impactful solutions. In this role, you will enable the team to develop and deploy predictive models, machine learning algorithms, and AI-driven solutions to optimize content recommendations, personalization, and revenue growth. Leveraging natural language processing (NLP) and Large Language Models (LLMs), you will analyze multimodal content to power recommendations and smarter editorial decisions. Your expertise in ML/AI and statistical modeling will be crucial in improving content performance, audience engagement, and subscription growth. Furthermore, you will champion data governance and innovation, collaborating with machine learning engineering, data engineering, and IT teams to ensure the integrity, accuracy, and security of data. By staying abreast of data science trends and technologies, you will drive the development of new data products and features. Your qualifications include an advanced degree in Data Science, Computer Science, Statistics, or related disciplines, along with extensive experience in leading large-scale data science projects and teams. If you are excited about the opportunity to drive data-driven decision making and innovation in a global media company, we encourage you to apply below. We look forward to reviewing your application and considering you for this impactful role at Cond Nast.,

As a Lead Associate in Analytics & BI Development processes at R1, your primary responsibility will involve writing complex SQL queries, building views, and stored procedures. With at least 3 years of experience, you must demonstrate proficiency in SQL and database management systems. Your role will require you to design, develop, and maintain SQL views and stored procedures, as well as optimize database performance through query tuning and indexing. Collaborating with software developers and data analysts is essential to integrate SQL views and stored procedures with applications. You will be expected to have excellent communication skills to effectively translate complex technical details into simple terms for business leaders and data users. While knowledge of Cloud Computing technologies like Microsoft Azure and Snowflake is beneficial, a deep understanding of database management systems and ETL frameworks is crucial. Additionally, you should possess the ability to develop Transition Tool Kits, documentations, SOPs, and artifacts. In this role, you will be involved in end-to-end analytics processes encompassing storytelling, descriptive, diagnostics, predictive, and prescriptive analysis. Driving the development and analysis of data, reporting automation, dashboarding, and business intelligence programs will be part of your responsibilities. To qualify for this position, you should be a graduate in Computer Science or a related field and have strong communication skills, both written and verbal. Your technical skill set should include over 3 years of experience in relational databases and BI development using SQL server, with proficiency in Advanced Excel and familiarity with Power BI. Experience in designing and developing relational database models, query performance tuning, and writing ad-hoc T-SQL queries is essential. Knowledge of statistical modeling, analysis, and effective communication with technical and business stakeholders are also required. At R1, we operate in a dynamic healthcare environment, leveraging our collective expertise to deliver innovative solutions. Join our fast-growing team to engage in rewarding interactions, collaboration, and continuous professional development. As part of our culture of excellence, you will have the opportunity to contribute meaningfully to the communities we serve worldwide, driving customer success and enhancing patient care. We also believe in giving back to the community and offer a competitive benefits package. To explore more about us, please visit r1rcm.com.,

Are you seeking an exciting opportunity to become a part of a dynamic and growing team operating in a fast-paced and challenging environment This unique opening allows you to collaborate with the Business team to gain a comprehensive perspective. As a Strategic Intelligence Associate in the Commercial & Investment Bank team, you will engage in various research activities utilizing AI-driven technologies and advanced analytical tools. Your primary responsibility will be to support the Strategic Intelligence Lead by conducting in-depth research, data analysis, and creating detailed reports and presentations to guide strategic decisions. You will be tasked with: - Conducting thorough research using advanced AI and industry-standard tools to analyze data on market trends, industry dynamics, and the competitive landscape - Synthesizing data from different sources to derive actionable insights, emphasizing strategic implications for the Commercial & Investment Bank - Developing detailed reports, presentations, and whitepapers to effectively communicate findings and recommendations - Keeping abreast of AI advancements and exploring new analytical methods to enhance research capabilities - Assisting in ad hoc research projects as requested by senior stakeholders to ensure alignment with strategic goals Qualifications, capabilities & skills required: - Advanced degree in business administration, finance, economics, technology, or a related field - Minimum of 3 years of experience in a research or strategy role - Proficiency in tools like SQL, Python, and statistical modeling software Preferred qualifications, capabilities & skills: - Demonstrated proficiency in conducting comprehensive research and analysis, focusing on strategic recommendations - Competence in AI tools, data analytics, and standard business software, with practical experience in utilizing technologies like Large Language Models - Strong written and verbal communication skills, capable of presenting complex findings clearly and persuasively to a senior audience - Proactive, adaptable, and entrepreneurial with a creative problem-solving approach - Experience in statistical modeling techniques and handling large datasets is advantageous - Prior experience in a research or strategy role within the Financial Services industry is preferred,

The role involves performing data analysis tasks such as gathering financial data from various sources, including stock prices, volume, and other market indicators. You will be required to apply technical indicators like moving averages, MACD, and RSI to historical market data to identify patterns or trends. Additionally, using statistical and mathematical models to analyze data and predict potential market movements will be part of your responsibilities. Another key aspect of the job is examining price charts to identify patterns such as head and shoulders, wedges, or double tops/bottoms that might indicate future market behavior. You will be utilizing charting software to visualize data trends and support your analysis. In terms of report preparation, you will compile your findings into reports or presentations, summarizing analysis and forecasting market trends. It is essential to ensure that the reports are clear and understandable, providing actionable insights for traders, portfolio managers, or clients. Furthermore, the role includes database maintenance tasks such as updating and maintaining databases with the latest market data to ensure that analyses are based on current information.,

As an experienced machine learning professional with expertise in deep learning and statistical modeling for earth observation data applications, your key responsibilities will include developing models for segmentation, object classification, crop monitoring, and disaster management. It is essential for you to have proficiency in Python, ML frameworks such as TensorFlow and PyTorch, and strong research skills. An advanced degree is required for this role. SatSure is a deep tech, decision intelligence company that focuses on agriculture, infrastructure, and climate action in the developing world. The company aims to make insights from earth observation data accessible to all. Joining SatSure means being at the forefront of building a deep tech company from India that aims to solve global problems. In this role, you will be responsible for implementing deep-learning models and frameworks for various applications in agriculture and infrastructure using earth observation data. You will design and implement performance evaluation frameworks, explore new methods for improving performance, and build model monitoring and active learning pipelines. Additionally, you will work on solving research problems related to land use and land cover (LULC), crop classification, change monitoring, and disaster management using earth observations. To qualify for this role, you should have a master's degree or PhD in Engineering, Statistics, Mathematics, or Computer Science with 5-8 years of experience in machine learning-based data product research and development. Proficiency in tools and frameworks related to computer science, probability, statistics, learning theory, and deep learning fundamentals is required. Experience with statistical modeling techniques and deep learning models like CNN, RNN, Transformers, and GANs is necessary. You should also be proficient in Python and have hands-on experience in using ML frameworks such as TensorFlow, PyTorch, PyTorch Lightning, and MxNet. Additional qualifications include the ability to design, develop, and optimize machine learning/deep learning models, knowledge of applying ML to earth observation data, and an appetite for research and implementing innovative solutions for complex problems. In addition to a challenging and rewarding work environment, SatSure offers benefits such as medical health cover for you and your family, access to mental health experts, dedicated allowances for learning and skill development, and a comprehensive leave policy. The interview process includes an introductory call, assessment, presentation, multiple interview rounds, and a culture/HR round. Join SatSure to be a part of a dynamic team that is making a positive impact on the world through innovative technology and deep learning solutions.,

Role & responsibilities Job Description We are seeking a highly skilled Lead Data Scientist with experience in pricing optimization, pricing elasticity, and AWS SageMaker. The ideal candidate will have a strong foundation in Statistics and Machine Learning, with a particular focus on Bayesian modelling. As part of our Data Science team, you will work closely with clients to develop advanced pricing strategies using state-of-the-art tools and techniques, including AWS SageMaker, to optimize business outcomes. Key Responsibilities: Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions. Analyze pricing elasticity to predict consumer response to changes in price, helping clients maximize revenue and market share. Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment. Utilize Bayesian modelling to support decision-making processes, providing insights into uncertainty and model predictions. Collaborate with cross-functional teams to integrate data-driven insights into business processes. Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders. Continuously explore and experiment with new modelling approaches and tools to improve accuracy and efficiency of pricing solutions. Qualifications Experience: 7+ Years Bachelors or master’s degree in data science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred. 7+ years of hands-on experience in data science, with a focus on pricing optimization and elasticity modelling. Expertise in Bayesian modelling and machine learning techniques. Proven experience working with AWS SageMaker for model development, deployment, and monitoring. Familiarity with AWS Certified Data Analytics – Specialty certification is a plus. Strong programming skills in Python (preferred) or R. Experience with cloud platforms (AWS preferred), including SageMaker. Proficiency in statistical analysis tools and libraries (e.g., NumPy, Pandas, PyMC3, or similar) Excellent problem-solving and analytical thinking skills. Ability to work in a fast-paced environment and manage multiple projects. Strong communication skills with the ability to explain complex concepts to non-technical audiences. Preferred Qualifications: Experience with A/B testing, econometrics, or other statistical experimentation methods. Familiarity with other cloud computing platforms (e.g., Azure, GCP). Experience working in cross-functional teams and client-facing roles. Additional Information Opportunity to work with cutting-edge technology in a dynamic environment. Exposure to a diverse range of industries and projects. Collaborative and inclusive work culture with opportunities for growth and professional development.

Experience with the following: Statistical Modeling Traditional Machine Learning Gen AI Knowledge in following deep learning models: LSTM N-BEATS CNN RNN Optimisation Techniques: Linear Programming Mix Integer Programming Optimisation Tools: Opensolver Gurobi Proficient in Data Bricks ; Snowflake Involved ML/DL models Will be dealing with business directly and the customer FTEs Solid in technology and communication Must Have Skills: Time Series Modelling (LSTN, CNN, N-BEATS, RNN), Data Bricks, Statistics, Python, Optimization, Opensolver, Gurobi Good to have: GenAI, Snowflake Years of Experience : Atleast 8-10 years in the field

KPMG India is looking for Assistant Manager - Data Science Assistant Manager - Data Science to join our dynamic team and embark on a rewarding career journey Ensuring company policies are followed. Optimizing profits by controlling costs. Hiring, training and developing new employees. Resolving customer issues to their overall satisfaction. Maintaining an overall management style that follows company best practices. Providing leadership and direction to all employees. Ensuring product quality and availability. Preparing and presenting employee reviews. Working closely with the store manager to lead staff. Overseeing retail inventory. Assisting customers whenever necessary. Organizing employee schedule. Ensuring that health, safety, and security rules are followed. Ensuring a consistent standard of customer service. Motivating employees and ensuring a focus on the mission. Maintaining merchandise and a visual plan. Maintaining stores to standards, including stocking and cleaning. Completing tasks assigned by the general manager accurately and efficiently. Supporting store manager as needed.

Data Science Finance Analyst 1 Description - Job Summary This role is responsible for conducting advanced analytics within Finance business to generate breakthrough insights enabling critical business decision making. The role works on building, testing, and improving medium complexity analytics models involving descriptive, diagnostic and predictive statistics. The role combines knowledge of data mining, statistical modelling, mathematics, econometrics, advanced concepts and ability to utilize big data to generate actionable business insights. The role is involved in identifying or setting up new data sources, and cleaning/organizing data. Responsibilities Leverage Data Science and Digital Skills along with Finance Business Context to build innovative and intuitive solutions for business problems. Works with the team to mine data using modern tools and programming languages. Develops algorithms, performs small scale experimentation, builds data driven applications to translate data into intelligence, and develops solutions for solving business problems. Incorporates predictive modeling, statistics and other analysis techniques for collecting, exploring, interpreting and extracting insights from structured and unstructured data. Supports the implementation of models to uncover patterns and predictions creating business value and innovation. Works with the team to create stories with the data using visualization tools/methods. Assures accuracy, integrity, and compliance of cleansed data. Works with project team to understand problem statements, initiatives and directions from business. Maintains proficiency within the data science domain by keeping up with technology and trend shifts. Collaborates and communicates with project team regarding project progress and issue resolution. Supports priority projects with direction, maintaining relationships with internal stakeholders and sharing information via standardized reports. Education & Experience Recommended BE/MTech/Bachelors or Masters in Mathematics/Statistics Typically has 0-3 years of work experience, preferably in ML, Data Science, AI, Data Engineering, Data Analytics, Mathematical/Statistical modeling. Cross-Org Skills Effective Communication Results Orientation Learning Agility Digital Fluency Customer Centricity Job - Finance Schedule - Full time Shift - No shift premium (India) Travel - Not Specified Relocation - Equal Opportunity Employer (EEO) - Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you d like more information about HP s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law Supplement

vConstruct , a Pune based Construction Technology company seeks a Senior Data Scientist for their Data Science and Analytics team which is a tight-knit group of Data Scientists and AI Engineers along with Data Analysists and Data Engineers that support all data aspects of DPR business. This team drives up with passion of Transforming this Construction Industry by the use of cutting edge technology enabled with strong AI/ ML Solutions. Here, each and every data point starting from Pre-Construction to Post-Construction process are touch-based to leverage this data for getting predictable outcomes and automating processes for better efficiency. This team helps on various domains of construction such as Scheduling, Planning, Supply Chain, Safety, Quality Control, Site Management, Financials, & Virtual Design Construction in every phase of projects. Gain the opportunity for working over Computer Vision, Predictive, Gen AI & LLM related use cases with variety of tech stack included for implementation. Majorly, MS Azure AI Services, Open AI, CV Libraries and ML for predictive outcomes with Stats as base. Be a part of this vision of Transforming Construction Industry by Use of Technology and play vital role with talented team within vConstruct.If you're interested in contributing to construction technology within the AI/ML space, gaining exposure to the latest technologies, and working directly with end customers, please apply via the link. Location: Pune: Magarpatta or Baner Key Responsibilities: Think strategically & collaborate with cross-functional teams to identify business use cases and solutionize with scalable technical solutions. Analyze construction project data and develop predictive models using traditional data science methods and Generative AI. Apply machine learning algorithms to improve key processes such as project execution, safety, and risk assessment. Design, Lead & Own scalable end-to-end development of predictive, ML models, from hypothesis generation to deployment and monitoring. Build, validate, and optimize machine learning and statistical models using best-in-class techniques. & QC models developed by Jr. Data Scientists and ML Engg. Work closely with Engineering & business team to understand the data, business terms, processes to create, suggest and implement solutions accordingly. Stay current with advancements in data science and machine learning to help leveraging Companys data. Use statistical techniques to detect anomalies and optimize operational workflows, ensuring projects are delivered on time and within budget Collaborate with product managers and business leaders to drive the implementation of data-driven decisions. Plus to have ability of visualizing insights using BI tools. Qualification: Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 5-8 years of professional experience with atleast 3 years of experience in data science, machine learning, and analytics, with a proven track recordof delivering impactful data-driven solutions. Experience working in dynamic, fast-paced environments, with the ability to manage multiple projects simultaneously as well as should be able to do production or work on project personally as required. Proven Experience, Strong business acumen and ability to translate technical insights into actionable business strategies & communicate to stakeholders in business language. Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Technical Skills: Expertise in programming languages such as Python, R, or Scala. Proficiency in machine learning, AI & Statistics frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong experience in statistical modeling, predictive analytics, clustering, classification, regression & multi-variate techniques. Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib). Familiarity with cloud platforms (AWS, Azure preferably), knowledge about Azure ML Services & Snowflake would be plus one Strong understanding of SQL and working with relational databases. Good to have knowledge of NLP(Natural Language Processing) and Computer Vision.

Role & responsibilities Job Title: Data Scientist (3-5 Years Experience) Key Responsibilities: Develop and implement machine learning and deep learning models for various business problems, with a strong focus on time series forecasting. Analyze large, complex datasets to extract actionable insights and identify trends, patterns, and opportunities for improvement. Design, build, and validate predictive models using state-of-the-art techniques, ensuring scalability and robustness. Collaborate with cross-functional teams (Product, Engineering, Business) to translate business requirements into data science solutions. Communicate findings and recommendations clearly to both technical and non-technical stakeholders. Stay updated with the latest research and advancements in machine learning, deep learning, and time series analysis, and proactively apply new techniques as appropriate. Mentor junior team members and contribute to a culture of continuous learning and innovation. Requirements Required Skills & Qualifications: 3-5 years of hands-on experience in data science, machine learning, and statistical modeling. Strong expertise in time series forecasting (ARIMA, XGBoost, RandomForest, TFT, NHITS, etc.) and familiarity with deep learning frameworks (TensorFlow, PyTorch). Excellent programming skills in Python (preferred), with proficiency in libraries such as NumPy, Pandas, scikit-learn, and visualization tools (Matplotlib, Seaborn, Plotly). Solid conceptual understanding of machine learning algorithms, deep learning architectures, and statistical methods. Experience with data preprocessing, feature engineering, and model evaluation. Ability to learn quickly and adapt to new technologies, tools, and methodologies. Strong problem-solving skills and a keen attention to detail. Excellent communication and presentation skills. Preferred Qualifications: Experience with cloud platforms and MLOps tools. Exposure to big data technologies (Spark, Hadoop) is a plus. Masters degree in Computer Science, Statistics, Mathematics, or a related field. Benefits What a Consulting role at Thoucentric will offer you? Opportunity to define your career path and not as enforced by a manager A great consulting environment with a chance to work with Fortune 500 companies and startups alike. A dynamic but relaxed and supportive working environment that encourages personal development. Be part of One Extended Family. We bond beyond work - sports, get-togethers, common interests etc. Work in a very enriching environment with Open Culture, Flat Organization and Excellent Peer Group. Be part of the exciting Growth Story of Thoucentric!

Gather data from multiple sources and prepare it for analysis. Analyze large volumes of structured and unstructured data to identify trends and patterns. Develop machine learning models and predictive algorithms to solve business problems. Use statistical techniques to validate findings and ensure accuracy. Automate processes using AI tools and programming. Create clear, engaging visualizations and reports to communicate results. Work closely with different teams to apply data-driven insights. Stay updated with the latest tools, technologies, and methods in data science.

Data Scientist is to run various data analysis and management to assist in design development and testing of algorithmic trading strategies, development of state-of-art transaction cost analysis modules(TCA)for global equities options futures and f/x

The role of Data Scientist - Clinical Data Extraction & AI Integration in our healthcare technology team requires an experienced individual with 3-6 years of experience. As a Data Scientist in this role, you will be primarily focused on medical document processing and data extraction systems. You will have the opportunity to work with advanced AI technologies to create solutions that enhance the extraction of crucial information from clinical documents, thereby improving healthcare data workflows and patient care outcomes. Your key responsibilities will include designing and implementing statistical models for medical data quality assessment, developing predictive algorithms for encounter classification, and validation. You will also be responsible for building machine learning pipelines for document pattern recognition, creating data-driven insights from clinical document structures, and implementing feature engineering for medical terminology extraction. Furthermore, you will apply natural language processing (NLP) techniques to clinical text, develop statistical validation frameworks for extracted medical data, and build anomaly detection systems for medical document processing. Additionally, you will create predictive models for discharge date estimation, encounter duration, and implement clustering algorithms for provider and encounter classification. In terms of AI & LLM Integration, you will be expected to integrate and optimize Large Language Models via AWS Bedrock and API services, design and refine AI prompts for clinical content extraction with high accuracy, and implement fallback logic and error handling for AI-powered extraction systems. You will also develop pattern matching algorithms for medical terminology and create validation layers for AI-extracted medical information. Having expertise in the healthcare domain is crucial for this role. You will work closely with medical document structures, implement healthcare-specific validation rules, handle medical terminology extraction, and conduct clinical context analysis. Ensuring HIPAA compliance and adhering to data security best practices will also be part of your responsibilities. Proficiency in programming languages such as Python 3.8+, R, SQL, and JSON, along with familiarity with data science tools like pandas, numpy, scipy, scikit-learn, spaCy, and NLTK is required. Experience with ML Frameworks including TensorFlow, PyTorch, transformers, huggingface, and visualization tools like matplotlib, seaborn, plotly, Tableau, and PowerBI is desirable. Knowledge of AI Platforms such as AWS Bedrock, Anthropic Claude, OpenAI APIs, and experience with cloud services like AWS (SageMaker, S3, Lambda, Bedrock) will be advantageous. Familiarity with research tools like Jupyter notebooks, Git, Docker, and MLflow is also beneficial for this role.,

As an AI Software Engineer Leader at Hyperforce Developer Experience, you will be part of a team dedicated to enhancing developer productivity and experience through generative AI. Our goal is to revolutionize software development by providing cutting-edge AI-powered tools and solutions that exceed customer expectations and establish a strong reputation for excellence. Your role will involve working on a cutting-edge AI platform to enhance developer productivity, offering features like advanced code generation, intelligent code completion, automated testing, and throughout SDLC. You will lead a team of AI engineers in developing and implementing AI solutions across the software development life cycle. Your responsibilities will include continuously innovating and exploring advanced AI techniques to improve SDLC processes, reducing development time and effort through automated code generation and intelligent suggestions, enhancing code accuracy, readability, and maintainability with AI-powered tools, empowering developers to explore new ideas and experiment with cutting-edge technologies, automating repetitive tasks and streamlining the development process, optimizing AI models through data analysis, designing user-friendly interfaces for AI-powered tools, and building a scalable infrastructure to support a growing user base. In this role, you will drive the vision of transforming engineers" productivity by infusing AI technologies/tools into SDLC in collaboration with teams across geographies. You will build and lead a team of engineers to deliver various AI engineering initiatives, have solid experience in building large-scale AI systems in public cloud environments, identify and resolve reliability and data quality issues, mentor and coach engineers for continuous development, recruit top talent, collaborate with cross-functional teams for execution and delivery, manage multiple engineering teams, design and implement algorithms for code suggestions, evaluate AI model performance, maintain data retrieval systems, ensure code generation meets standards and user preferences, develop AI-powered features in IDEs, and more. Core qualifications for this role include a degree in computer science or a related field, 14+ years of relevant software development experience with 5+ years of team management experience, at least 3+ years of AI/ML engineering experience, proficiency in programming languages such as Python, Java, Typescript, or Golang, knowledge of NLP techniques and code generation techniques, expertise in cloud native services, strong analytical and communication skills, and the ability to work in a fast-paced environment with a focus on delivering high-quality results under tight deadlines.,