862 Statistical Modeling Jobs

Description We are looking for an experienced Seed Technology professional to join our team in India. The ideal candidate will have a strong background in seed research and development, with a focus on improving seed quality and yield. This role requires a combination of technical expertise, analytical skills, and the ability to work collaboratively with agricultural stakeholders. Responsibilities Conduct research and development in seed technology. Evaluate seed quality and performance through field trials and laboratory analysis. Collaborate with agronomists and plant breeders to develop superior seed varieties. Stay updated with the latest advancements in seed technology and agricultural practices. Provide technical support and training to farmers and agricultural stakeholders. Analyze data and prepare reports on seed performance and market trends. Skills and Qualifications 6-16 years of experience in seed technology or related field. Strong understanding of plant genetics and breeding techniques. Familiarity with seed production processes and quality assurance standards. Proficient in data analysis software and statistical tools. Excellent communication and interpersonal skills for collaboration with diverse teams. Ability to conduct field trials and interpret agronomic data.

You will be responsible for developing and optimizing AI/ML models using Python across various applications. Your role will involve conducting Research & Development (R&D) to implement cutting-edge AI methodologies and working with Large Language Models (LLMs) for NLP, text generation, and conversational AI applications. It will also include applying Predictive Analysis techniques to derive data-driven insights and enhance decision-making processes. Collaboration with cross-functional teams to integrate AI solutions seamlessly into business processes is a key aspect of this role. Additionally, staying updated with the latest advancements in AI and ML to improve model performance is crucial. To excel in this position, you must possess a strong proficiency in Python and its AI/ML libraries such as TensorFlow, PyTorch, and Scikit-learn. Previous experience in Research & Development (R&D) for AI and machine learning applications is highly desirable. Hands-on experience with Large Language Models (LLMs) like GPT, BERT, or similar architectures is essential. Expertise in Predictive Analysis, which includes statistical modeling and machine learning techniques, will be a significant part of your responsibilities. Strong problem-solving skills and the ability to work effectively with large datasets are essential. Knowledge of cloud platforms like AWS, GCP, or Azure would be advantageous. The ideal candidate should hold a Masters or Ph.D. in Computer Science, AI, Data Science, or a related field. Experience with MLOps, model deployment, and API integration is preferred. Familiarity with data visualization tools and frameworks will be an added advantage. With 6-8 years of experience, your primary skill set should revolve around AI/ML Development, with additional expertise in TensorFlow and NLP.,

As a technical data analyst intern, you will utilize data analysis and statistical skills on various supply chain projects and activities. You will work in a dynamic environment and be responsible for a wide range of predictive analytics, statistical applications, and modeling. Your main tasks will involve automating and streamlining data gathering and reporting methodologies. Your contributions will play a vital role in enhancing the productivity and effectiveness of Vyrian's sales teams, ultimately leading to increased revenue and margin. To be eligible for this internship, you should be pursuing a Bachelor's of Science or Master's degree in any math, science, or engineering field. Strong math and statistical modeling skills are required, with a preference for those majoring in Statistics or Data Science. Proficiency in SQL, BI tools, and Excel is necessary to produce ad-hoc data analyses and presentations. Additionally, knowledge in advanced analytics tools such as Python, R, Einstein Plus, and Dataiku would be advantageous. If you love working with large volumes of data and are proactive in your approach to work with minimal supervision and high motivation, you are a good fit for this role. Strong reasoning abilities, sound judgment, organizational skills, and the ability to prioritize tasks are also key qualities that we are looking for in potential candidates. We appreciate all applicants for submitting their qualifications. However, only those individuals who are being considered for an interview or are currently employed by Vyrian will be contacted.,

You are an experienced Senior Quantitative Analyst (Model Developer/Validator) with extensive expertise in credit risk modeling, particularly focusing on Internal Credit Risk Rating modeling. Your role involves leading the development and validation of advanced credit risk models, including PD, EAD, LGD, with a special emphasis on Expert judgment-based PD models for Corporate, Specialized Lending, and Financial Institutions. Your responsibilities include conducting thorough data preparation and preprocessing using tools such as SAS, Python, R, and SQL. Collaborating with various stakeholders to analyze, interpret, and communicate complex model results and insights is crucial. You are expected to develop detailed technical documentation for regulatory compliance, test plans, validation reports, findings reports, and Business Requirements Documents (BRD) where applicable. Continuous improvement of models is key, which involves identifying optimization opportunities, implementing advanced modeling techniques, and enhancing model performance and predictive accuracy. Additionally, you will provide mentorship and technical guidance to junior team members to foster a culture of knowledge sharing and professional development. To qualify for this role, you need to have 5-10 years of hands-on experience in credit risk model development and validation, along with proven expertise in modeling across retail and wholesale credit portfolios. Advanced proficiency in SAS, Python, R, and SQL is essential, as well as a deep understanding of IFRS9 and CECL regulatory frameworks and guidance. Excellent analytical and problem-solving skills are required, complemented by strong written and verbal communication abilities. Preferred qualifications include an advanced degree in Statistics, Mathematics, Economics, or a related field, professional certifications in risk management or financial modeling, experience with IRB modeling, machine learning, and advanced statistical modeling techniques, as well as knowledge of Basel regulatory guidance. Your technical skills should encompass model development (PD, LGD, EAD, Qualitative PD Models), programming (SAS, Python, R, SQL), regulatory knowledge (IRB, IFRS9, CECL), statistical modeling, data preprocessing, and machine learning techniques.,

As a Specialist, Technical Business Analysis at Fiserv, you will be consulting with project teams and functional units to design important projects or services. You will provide support for existing business systems applications, demonstrating proficiency and leadership skills. Your role will involve efficiently balancing and prioritizing project work, utilizing data to offer insights and actionable recommendations that inform decision-making and strategy development. In this position, your expertise in data analysis, machine learning, and statistical modeling will be crucial. You will uncover insights and develop predictive models to enhance fraud rules. Collaborating with cross-functional teams, you will analyze large volumes of transactional data, identify patterns of fraudulent behavior, and enhance monitoring systems continuously. Effective communication is key, as you will interface with clients, vendors, and business partners periodically. To excel in this role, you will need a Bachelor's degree in Computer Science or Engineering, or relevant work experience. A background in IT development is required, along with a minimum of 5 years of experience in fraud analysis, investigations, or a related field - preferably in financial services or e-commerce. Proficiency in programming languages like Python or R for data analysis and model development, as well as familiarity with SQL for querying and managing relational databases, is essential. Sound knowledge of statistical methods and techniques, including regression analysis, clustering, time series analysis, and classification, is also necessary. Strong analytical skills are a must, enabling you to derive insights from complex datasets. Your ability to effectively communicate technical findings to non-technical stakeholders, work collaboratively in a fast-paced team environment, and present recommendations clearly is critical. Additionally, being self-motivated, proactive, and capable of working both independently and collaboratively is essential for success in this role. It would be advantageous to have knowledge and experience with JIRA, Service Point, and Confluence products. Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, Keras) and data manipulation libraries (e.g., Pandas, NumPy) would also be beneficial. Thank you for considering employment with Fiserv. To apply, use your legal name and complete the step-by-step profile, attaching your resume. Fiserv is committed to Diversity and Inclusion, and does not accept resume submissions from agencies outside of existing agreements. Be cautious of fraudulent job postings not affiliated with Fiserv, and ensure that communications from Fiserv representatives come from legitimate email addresses.,

We are looking for a Senior Quantitative Credit Risk Strategist to join our team. In this role, you will collaborate with analysts, risk managers, and leaders to analyze customer characteristics, identify risk factors, and recommend underwriting and collections strategies to meet our risk and return objectives. If you possess an analytical and data-driven mindset, attention to detail, and a proactive attitude, then this position is perfect for you. Your responsibilities will include analyzing data to pinpoint risk drivers and suggest mitigation strategies. You will work closely with the Data Science team to develop and evaluate credit, account management, and collection models. Moreover, you will be tasked with establishing credit strategies and policies to minimize risk while fostering business growth. Your role will also involve enhancing collection performance through operational, policy, and modeling enhancements, as well as defining underwriting and account management strategies. Additionally, you will collaborate with R+D, Product, and Operations teams to test and introduce new features and products. To be successful in this role, you should have at least 6 years of experience in retail, consumer, or SMB finance in a credit risk or strategy capacity, ideally within the fintech or banking sector. You must demonstrate proficiency in crafting credit memos and documenting credit decisions and strategies. Hands-on experience in leveraging data and analytics to steer credit risk strategies is essential, along with a background in A/B testing. A Master's degree or higher in a quantitative field such as Mathematics, Statistics, Economics, OR Business is required. Furthermore, you should possess advanced data analytics skills, including expertise in SQL, Python/R, Excel, and data visualization tools like Tableau or Hex. Familiarity with statistical modeling is also advantageous. The ideal candidate will have the ability to exert influence in a cross-functional, non-hierarchical environment to foster collaborations and propel initiatives forward.,

As an Assistant at WRI India, you will be responsible for supporting the team in various administrative tasks and coordinating schedules. You will assist in organizing meetings, managing calendars, and preparing materials for presentations. Additionally, you will handle travel arrangements and help with general office management duties. The ideal candidate should have excellent organizational skills, attention to detail, and the ability to multitask effectively. Strong communication skills and proficiency in MS Office suite are also required. If you are a proactive individual with a passion for supporting a dynamic team, we encourage you to apply for this role.,

As a CPU Performance Engineer at AMD, you will be a part of the Client CPU Performance Team in Hyderabad, India. Your primary responsibility will be to analyze performance and drive next-generation CPU core hardware and software optimizations for AMD's notebook and desktop processors. This role involves working on key applications, analyzing and tracing system-level workloads, and conducting performance analysis on internal and competitive hardware platforms. Additionally, you will be involved in the development of tools and methodologies for workload analysis and data collection. To excel in this role, you should have a strong passion for leading-edge CPU/SoC architecture, design, and verification. Collaboration is a key aspect of this position, as you will work closely with architects and engineers from different locations and time zones. Your analytical and problem-solving skills will be put to the test as you identify areas for improvement in AMD products, run performance simulations, and debug performance issues. Your responsibilities will also include interacting with various teams such as microprocessor architects, software optimizers, compiler teams, and verification engineers to address architectural performance issues. The ideal candidate should have 3-15 years of prior industry/academic experience and possess a strong background in computing software, computer architecture, system simulation, and performance evaluation. Proficiency in mathematical and statistical modeling, experience with x86 instruction set processors, and expertise in C/C++ programming and software engineering concepts are essential for this role. A degree in Electronics/Computer Engineering or Computer Science with an emphasis on computer architecture is preferred. At AMD, we are committed to pushing the boundaries of innovation to solve the world's most critical challenges. If you are someone who thrives in a collaborative environment, has a passion for cutting-edge technology, and is eager to contribute to the advancement of CPU performance optimization, we invite you to join our team and be a part of transforming lives with AMD technology.,

As a Credit Risk Analyst at Viraaj HR Solutions, you will be responsible for conducting credit risk assessments for various banking and financial products. Your role will involve analyzing credit data and financial statements to prepare risk profiles, as well as implementing statistical models to predict credit risk exposure. You will also be expected to monitor and evaluate clients" creditworthiness based on market conditions and develop risk analytics tools and processes. Collaboration with cross-functional teams to enhance risk management strategies will be a key aspect of your responsibilities. Ensuring compliance with regulatory requirements and internal policies, conducting stress testing and scenario analysis, updating and maintaining documentation related to credit risk policies, and identifying trends and variances in credit risk metrics for management reports are all essential tasks that you will be involved in. To excel in this role, you should hold a Bachelor's degree in Finance, Economics, or a related field, along with at least 3 years of experience in credit risk analysis or management. Strong analytical and quantitative skills, proficiency in Excel, SQL, and data analysis tools, and knowledge of regulatory frameworks and compliance standards are prerequisites for this position. Your ability to work collaboratively in a team environment, coupled with excellent problem-solving and decision-making abilities, will be crucial. Additionally, having strong verbal and written communication skills, being detail-oriented with a commitment to accuracy, and possessing project management experience will be advantageous. Professional certifications such as CFA or FRM, an understanding of market dynamics and economic trends, and a willingness to adapt to changing business needs are desirable qualities. By staying updated on the latest industry trends and regulatory changes, you will contribute effectively to the credit risk decision-making process. In summary, as a Credit Risk Analyst at Viraaj HR Solutions, you will play a vital role in enhancing risk management strategies, ensuring compliance, and providing valuable insights and recommendations to drive the organization's success.,

As an AI Data Scientist at our dynamic team, you will be responsible for leveraging data and advanced algorithms to drive AI initiatives, build machine learning models, and provide actionable insights contributing to the company's strategic goals. Working closely with cross-functional teams, you will deliver data-driven solutions that enhance our products and services. A Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or related fields is required, along with 10+ years of experience in data science, analytics, and machine learning. Your technical expertise should include proficiency in programming languages such as Python, R, or SQL, a strong understanding of machine learning algorithms, statistical modeling, and data mining techniques. Experience with data visualization tools like Tableau, Power BI, or Matplotlib, knowledge of big data technologies such as Hadoop, Spark, and cloud platforms like AWS, Google Cloud, is essential. Familiarity with both relational and NoSQL database systems is also expected. Strong soft skills are crucial for this role, including excellent problem-solving and analytical skills, effective communication and collaboration abilities, and the capability to explain complex technical concepts to non-technical stakeholders. You should also possess strong project management and organizational skills. Your responsibilities will involve data analysis, including collecting, cleaning, and preprocessing data from various sources, performing exploratory data analysis, and developing statistical models and machine learning algorithms to solve business problems. Additionally, you will design, build, and validate predictive models, optimize model performance, and implement machine learning solutions in production environments. Creating data visualizations, developing dashboards and reports, and presenting data-driven recommendations to stakeholders are also key tasks. Collaboration with cross-functional teams, providing technical guidance, and mentorship, along with continuous improvement by staying updated with industry trends and driving innovation in data science practices are essential aspects of the role. GlobalLogic offers exciting projects, a collaborative environment, work-life balance, professional development opportunities, excellent benefits, and fun perks to create a rewarding work experience for its employees. Join us at GlobalLogic, a leader in digital engineering, and be part of a team that designs and builds innovative products, platforms, and digital experiences for the modern world.,

Are you seeking an exciting opportunity to join a dynamic and growing team in a fast-paced and challenging environment This unique role offers you the chance to collaborate with the Business team to provide a comprehensive view. As a Loss Forecasting Modeling Analytics Associate in the Consumer Credit Risk Management team, your primary responsibility will be to execute credit loss forecasting models. You will diagnose model accuracy and lead analyses to evaluate relationships and patterns that impact the loss performance of our product portfolio. Your role will involve spearheading the control framework within our function and executing processes through analytical insights, predictive analysis, and newer technology applications. This position presents an exciting opportunity for skill development in a fast-paced setting. The Loss Forecasting team within Consumer Credit Risk Management is tasked with providing reasonable forecasts of delinquencies, charge-offs, and recovery of charged-off assets throughout the year. These forecasts are essential for regulatory exercises such as CCAR, capacity planning, and budgeting in collaboration with P&A, collections, and recovery teams. Additionally, the team monitors the portfolio's health and communicates emerging trends to stakeholders and senior management. **Job Responsibilities:** - Execute credit loss forecasting models to predict credit losses and allowance for the product portfolio, supporting regulatory exercises like CCAR, CECL, firmwide Risk Appetite, and Budget. - Present the results and levers of loss forecasting to senior management and internal stakeholders. - Diagnose model parameters and collaborate with the modeling team to propose changes for accuracy at granular segments. - Engage in cross-functional communications with Risk Management, Finance, Marketing, and Collections to incorporate strategic initiatives into the forecast. - Conduct macro sensitivity analytics, loss, and allowance attribution, deep dives, and storyboarding. - Lead advanced analyses to evaluate relationships and patterns driving loss performance. **Required Qualifications, Capabilities, and Skills:** - Bachelor's or Master's Degree in a quantitative discipline (Finance/Stats/Econ/Math/Engineering) or equivalent work/training. - Minimum of 4 years of banking analytics, product/revenue analytics, FP&A, and/or consulting experience for a senior Associate role. - Minimum of 2 years of banking analytics, product/revenue analytics, and/or consulting experience for an Associate role. - Proficiency in Microsoft Office suite of products (Advanced Excel, VBA, and PowerPoint). - Strong analytical and problem-solving skills with the ability to interpret large amounts of data and understand its operational and financial implications. - Well-organized and structured with excellent communication and presentation skills. **Additional Qualifications:** - Working knowledge of regulatory modeling (IFRS9/CECL/CCAR). - Credit risk experience in one or more US consumer credit portfolios. - Working knowledge of P&A, product analytics, statistical modeling, and model execution. - Actual work experience in Python/SAS/SQL/Alteryx/Cloud application architecture. In summary, this role offers a challenging yet rewarding opportunity to contribute to credit loss forecasting models and play a crucial role in the Consumer Credit Risk Management team.,

Enable data-driven decision making across the Tesco business globally by developing analytics solutions using a combination of math, tech, and business knowledge. You will be responsible for identifying operational improvements and finding solutions by applying CI tools and techniques, completing tasks and transactions within agreed KPI's, engaging with business & functional partners to understand business priorities, and scoping analytical solutions. You should have an in-depth understanding of techniques to prepare analytical datasets leveraging multiple complex data sources, building statistical models and ML algorithms, writing structured algorithms using Continuous Improvement principles, and building a visualization layer to empower end-users to make decisions. Additionally, you will collaborate with the line manager to ensure application/consumption and identify opportunities to address bigger business questions. To qualify for this role, you should have 1-2 years of experience in data science application in Retail or CPG, with preferred functional experience in Marketing, Supply Chain, Customer, Merchandising, Operations, Finance, or Digital. Tesco offers a rewarding package for its colleagues, including performance bonuses, leave entitlements, retirement benefits, health and wellness programs, mental health support, financial coaching, employee share ownership programs, and physical wellbeing initiatives. The company is committed to providing a supportive and inclusive work environment for its employees. Tesco in Bengaluru is a multi-disciplinary team focused on serving customers, communities, and the planet. The team aims to create a sustainable competitive advantage for Tesco by standardizing processes, delivering cost savings, enabling agility through technological solutions, and empowering colleagues to do more for customers. With a wide network of teams and strong governance, Tesco in Bengaluru offers high-quality services to customers worldwide. Established in 2017, Tesco Business Solutions (TBS) is a purpose-driven organization committed to driving scale and delivering value to the Tesco Group through decision science. With over 4,400 highly skilled colleagues globally, TBS supports markets and business units across various locations. The organization focuses on innovation, agility, and creating impactful outcomes to shape the future of the business, becoming the partner of choice for talent, transformation, and value creation in the Tesco Group.,

The supply planning function is responsible for managing the supply-demand balance at an optimal cost, meeting customer service level goals, minimizing inventory, prioritizing shipping, and mitigating shortages. This role involves working closely with commercial teams, business groups, and the rest of the supply chain/factory teams to achieve business and financial goals. To excel in this role, you should be analytical, nimble, and action-oriented. Demonstrating entrepreneurial spirit, creative problem-solving skills, data analysis proficiency, and exceptional strategic, execution, and leadership abilities are crucial. Collaboration across functions to support business goals and mission, as well as effective engagement with external stakeholders, are essential. The scope of activities for this role includes supply-demand balancing, developing FG & component safety stock strategies, planning and executing product phase in & phase out strategies, and exception management. Key responsibilities include creating and maintaining production schedules using capacity plan, material constraints, and demand, owning the World Wide Capacity Review process with JDM/ODM partners, building statistical models for safety stock projections and capacity needs, analyzing change factors such as seasonality and promotions, applying advanced analytics to establish inventory planning parameters and policies, evaluating trade-offs between inventory, air freight, capacity, etc., monitoring inventory levels to meet demand, proposing changes to supply chain master data, developing allocation plans, refining tools for ongoing business support, and demonstrating decision-making prowess in uncertain situations. Key Qualifications: To be considered for this role, you should possess the following minimum skills and attributes: - Bachelor's or Masters Degree in Business, Operations Management, Supply Chain Management, or a related field with 4-6 years of work experience - Experience in participating in the S&OP processes and end-to-end supply chain planning - Proficiency in planning tools, material planning processes (MRP, Simulation, Product BOMs, Safety stock theory, inventory management), ERP systems (Oracle or SAP) - Working knowledge of SQL/Python and BI reporting tools such as Tableau, Power BI, or Looker - Excellent communication and presentation skills By adhering to these qualifications, you can contribute effectively to our team and help drive the success of our supply planning function.,

Position Overview We seek an exceptional researcher to advance groundbreaking work at the intersection of management science, cognitive psychology, and human-AI collaboration. This role focuses on understanding how organizations can optimize human-technology integration while preserving cognitive capabilities and enhancing decision-making performance. Research Focus Areas Organizational Cognitive Modeling: Develop predictive frameworks for human performance in technology-augmented environments Innovation Management: Study how cognitive augmentation technologies transform organizational innovation processes Decision Systems Architecture: Design optimal human-AI collaborative structures for complex organizational decisions Behavioral Economics of AI Integration: Quantify productivity gains while measuring cognitive dependency risks Leadership in Hybrid Intelligence Systems: Investigate management practices for human-AI teams Key Responsibilities Research & Innovation: Collaborate on expanding Behavioral GPS applications to organizational contexts Develop cognitive load optimization models for management decision-making Publish high-impact research in top-tier management and cognitive science journals Contribute to patent applications for organizational intelligence systems Academic Excellence: Teach graduate courses in cognitive-informed management and innovation leadership Supervise PhD students in interdisciplinary research projects Present findings at premier conferences (Academy of Management, INFORMS, Web Summit) Build collaborative networks with industry partners and academic institutions Applied Impact: Consult on organizational transformation projects with major corporations Develop executive education programs on human-AI collaboration Contribute to smart city and healthcare system optimization projects Qualifications Required: PhD in Management, Organizational Psychology, Cognitive Science, or related field Demonstrated expertise in quantitative research methods and statistical modeling Publications in peer-reviewed journals with impact factor >3.0 Experience with human-computer interaction or decision support systems Strong programming skills (Python, R, or similar) Show more Show less

Key responsibilities Responsibilities often include designing and implementing data science workflows using Azure Databricks, collaborating on data pipelines, optimizing PySpark jobs, and developing/deploying scalable ML and AI models, including Generative AI and LLMs. Data scientists also drive MLOps practices, analyze data for trends and models, translate requirements into data models, present findings, and stay updated on research. Required qualifications typically include relevant experience in applied data science, AI, and machine learning, with experience in developing ML models and hands-on experience with LLMs and Generative AI. Technical skills often needed are advanced Python programming with relevant libraries, proficiency in SQL and statistical languages, and deep familiarity with the Databricks platform components like Delta Lake, MLflow, and Unity Catalog. Strong understanding of big data technologies, machine learning techniques, and MLOps principles is also common. Other essential skills include excellent communication, problem-solving, analytical, and mathematical skills.

SreeVia Ai Technologies is looking for Data Scientist to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

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

The Data Scientist organization within the Data and Analytics division is responsible for designing and implementing a unified data strategy that enables the efficient, secure, and governed use of data across the organization. We aim to create a trusted and customer-centric data ecosystem, built on a foundation of data quality, security, and openness, and guided by the Thomson Reuters Trust Principles. Our team is dedicated to developing innovative data solutions that drive business value while upholding the highest standards of data management and ethics. About the role: Work with low to minimum supervision to solve business problems using data and analytics. Work in multiple business domain areas including Customer Experience and Service, Operations, Finance, Sales and Marketing. Work with various business stakeholders, to understand and document requirements. Design an analytical framework to provide insights into a business problem. Explore and visualize multiple data sets to understand data available for problem solving. Build end to end data pipelines to handle and process data at scale. Build machine learning models and/or statistical solutions. Build predictive models. Use Natural Language Processing to extract insight from text. Design database models (if a data mart or operational data store is required to aggregate data for modeling). Design visualizations and build dashboards in Tableau and/or PowerBI Extract business insights from the data and models. Present results to stakeholders (and tell stories using data) using power point and/or dashboards. Work collaboratively with other team members. About you: Overall 6+ years' experience in technology roles. Must have a minimum of 2 years of experience working in the data science domain. Has used frameworks/libraries such as Scikit-learn, PyTorch, Keras, NLTK. Highly proficient in Python. Highly proficient in SQL. Experience with Tableau and/or PowerBI. Has worked with Amazon Web Services and Sagemaker. Ability to build data pipelines for data movement using tools such as Alteryx, GLUE, Informatica. Proficient in machine learning, statistical modelling, and data science techniques. Experience with one or more of the following types of business analytics applications: Predictive analytics for customer retention, cross sales and new customer acquisition. Pricing optimization models. Segmentation. Recommendation engines. Experience in one or more of the following business domains Customer Experience and Service. Finance. Operations. Good presentation skills and the ability to tell stories using data and PowerPoint/Dashboard Visualizations. Excellent organizational, analytical and problem-solving skills. Ability to communicate complex results in a simple and concise manner at all levels within the organization. Ability to excel in a fast-paced, startup-like environment. #LI-SS5 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. 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Data Scientist - GTM Analytics At Thomson Reuters, we believe in the power of data to drive smarter decisionsand were looking for someone who shares that belief. As a Data Scientist Digital Insights, youll join a dynamic team thats shaping the future of go-to-market strategy through digital analytics, data science, and emerging AI technologies.This opportunity empowers you to work with the latest trends in technologyfrom web traffic intelligence and data visualization to foundational applications of large language models (LLMs). Youll play a key role in transforming digital signals into actionable insights that influence business outcomes.Were proud to be recognized by Great Place to Work India as one of the countrys top employers, celebrated for our inclusive culture, strong leadership, and commitment to employee growth. Join us and be part of a workplace where innovation and well-being go hand in hand. About the Role: In this role, you will Analyze web traffic, user behavior, and campaign performance through Google Analytics Tags to generate actionable insights. Collaborate with marketing, product, and analytics teams to define KPIs and reporting frameworks. Build dashboards and visualizations using tools like Tableau or Power BI to communicate insights effectively. Apply basic data science techniques to uncover trends, segment audiences, and support predictive modeling. Stay current with developments in LLMs and generative AI and explore their application in digital analytics. Present findings to stakeholders using storytelling techniques and data-driven narratives. About You: 13 years of experience in digital analytics, data science, or a related field. Proficient in Google Analytics, and web tracking methodologies. Strong SQL and Python skills; experience with data wrangling and exploratory analysis. Familiarity with data visualization tools such as Tableau or Power BI. Exposure to machine learning concepts and basic model building. Understanding of LLMs (e.g., GPT, OpenAI) and prompt engineering is a plus. Experience working with marketing or Go to Market teams is highly desirable. Excellent communication and presentation skills with the ability to simplify complex data. Required Education & Skills: Bachelors or masters degree in computer science, Data Science, Marketing Analytics, or a related quantitative field. Strong organizational and problem-solving skills. Adaptable, collaborative, and eager to learn in a fast-paced environment. Shift Timing - 12:00 PM - 9:00 PMHybrid Work ModelWork from Office Twice a week #LI-SS3 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. 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Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. 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As a key member of our Data Science team, you will be responsible for developing innovative AI ML solutions across diverse business domains This includes designing, implementing, and optimizing advanced analytics models to address complex business challenges and drive data-driven decision making Your core responsibility will be to extract actionable insights from large datasets, develop predictive algorithms, and create robust machine learning pipelines You will collaborate closely with cross-functional teams including business analysts, software engineers, and product managers to understand business requirements, define problem statements, and deliver scalable solutions Additionally, you'll be expected to stay current with emerging technologies and methodologies in the AI/ML landscape to ensure our technical approaches remain cutting-edge and effective Desired Skills and experience Demonstrated expertise in applying advanced statistical modeling, machine learning algorithms, and deep learning techniques. Proficiency in programming languages such as Python data analysis and model development. Proficiency in cloud platforms, such as Azure, Azure Data Factory, Snowflake, Databricks. Experience with data manipulation, cleaning, and preprocessing using pandas, NumPy, or equivalent libraries. Strong knowledge of SQL and experience working with various database systems and big data technologies. Proven track record of developing and deploying machine learning models in production environments. Experience with version control systems (e.g., Git) and collaborative development practices. Proficiency with visualization tools and libraries such as Matplotlib, Seaborn, Tableau, or PowerBI. Strong mathematics background including statistics, probability, linear algebra, and calculus. Excellent communication skills with ability to translate technical concepts to non-technical stakeholders. Experience working in cross-functional teams and managing projects through the full data science lifecycle. Knowledge of ethical considerations in AI development including bias detection and mitigation techniques. Key Responsibilities Analyze complex datasets to extract meaningful insights and patterns using statistical methods and machine learning techniques. Design, develop and implement advanced machine learning models and algorithms to solve business problems and drive data-driven decision making. Perform feature engineering, model selection, and hyperparameter tuning to optimize model performance and accuracy. Create and maintain data processing pipelines for efficient data collection, cleaning, transformation, and integration. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Evaluate model performance using appropriate metrics and validation techniques to ensure reliability and robustness. Present findings, visualizations, and recommendations to stakeholders in clear, accessible formats tailored to technical and non-technical audiences. Stay current with the latest advancements in machine learning, deep learning, and statistical methods through continuous learning and research. Develop proof-of-concept applications to demonstrate the value and feasibility of data science solutions. Implement A/B testing and experimental design methodologies to validate hypotheses and measure the impact of implemented solutions. Document methodologies, procedures, and results thoroughly to ensure reproducibility and knowledge transfer within the organization.

Our people work differently depending on their jobs and needs From hybrid working to flexible hours, we have plenty of options that help our people to thrive, This role is based in India and as such all normal working days must be carried out in India, Job Description Join us as a Data Scientist Well look to you to lead, drive and embed the design and implementation of data science tools and methods which harness our data in order to drive customer solutions Youll also proactively bring together statistical, mathematical, machine learning and software engineering skills to develop and implement ethically sound models end-to-end This is an opportunity for you to hone your skills and make an impact by applying a software engineering and product development lens to solve complex business problems We are offering this role at vice president level What you'll do As a Data Scientist, youll use data translation skills to work closely with business stakeholders to define detailed business questions, problems or opportunities which can be supported through advanced analytics, making sure new and existing solutions are designed with a Group mindset, Youll also understand the complex requirements and needs of business stakeholders along with developing strong relationships, forming hypotheses and identifying suitable data and analytics solutions to meet those needs in order to support our business strategy, In addition, youll be: Articulating advanced data and analytics opportunities, bringing them to life through data visualisation in a way that business stakeholders can understand and engage with understanding the benefits, trade-offs and ethics Leading both direct reports and wider teams in an agile way within multi-disciplinary data and analytics teams to achieve agreed project and scrum outcomes Selecting, building, training and testing complex machine learning models considering model valuation, model risk, governance and ethics, making sure there is no bias at build to ensure models are ready to implement and scale Leading and delivering stakeholder engagement activities to develop effective project working relationships making sure that stakeholder needs and concerns are identified and met Identifying opportunities to support our external customers using data science expertise and capability aligned to our Group strategy Exploring data, making sure golden source data is used appropriately to identify the correct approaches to extract the most value and establishing best practice for machine learning development, data access and procurement The skills you'll need Were looking for someone who comes from an academic background in a STEM discipline such as Mathematics, Physics, Engineering or Computer Science and understands exploratory data analysis Youll have experience with statistical modelling and machine learning techniques along with programming language and software engineering fundamentals, Youll also have: Expertise in data science, analytics, and machine learning Proven proficiency in Python and relevant libraries such as Pandas, NumPy, Scikit-learn coupled with experience in data visualisation tools, Knowledge of AWS Sagemaker is preferred Experience in synthesising, translating and visualising data and insights for key stakeholders Leadership and coaching experience along with good knowledge of Cloud applications Good communication skills with the ability to proactively engage and manage a wide range of stakeholders Show

What The Candidate Will Need / Bonus Points ---What the Candidate Will Do ---- Scope & Impact: You will have the opportunity to collaborate with multiple cross-functional global teams to deliver scalable data solutions wherein the expectation is to -> Build scalable analytical frameworks to support product analytics for Uber's Customer Obsession Platform Be an invaluable partner to product managers, engineers, operations, & various data teams to help create and execute the direction of the product roadmap which includes scoping the business problem, providing a data lens to product design, owning the experimentation cycle to full global rollouts and eventually impact estimation & long term monitoring, Proactively communicate insights and drive projects to drive towards team goals Ensure data quality across critical pipelines and to set up processes to triage data issues Build & maintain critical data pipelines, insight boards & monitoring tools that help track metrics to measure and monitor platform health Seek out opportunities to build new solutions to tackle Customer & Business pain points Basic Qualifications 2+ years of work experience with a Bachelor's Degree OR 1+ years of work experience with a Master's Degree Work experience should be in a data-focused role such as product analytics, risk analytics, business analytics, business operations, or data science Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience Proven competency in statistical languages like SQL, SAS, R and/or in modern programming languages like Python Past experience with a Product / Tech / Analytics Services company serving businesses with millions of customers on multiple platforms and countries Preferred Qualifications SQL mastery Write efficient and complex code in SQL Experience in Python/R, Experimentation methods like A/B testing, and Statistical modelling is preferred Experience in Customer Service related domains with a Product / Technology / Analytics Services company is a plus Proven ability to handle and visualise large datasets, explore and utilise raw data feeds Love of data One should have the zeal to just go get the required data and turn it into an insightful story Ability to build a structured approach to problem-solving that leads to high quality hypotheses Strong sense of ownership, accountability, and entrepreneurial spirit Effective communicator & proactive collaborator Independent & autonomous, while still a strong team player Enthusiastic, self-starting and thrives in changing, agile environments Show

CRISIL is looking for Credit Analyst to join our dynamic team and embark on a rewarding career journey Review credit applications and perform credit checks Structure deals and perform risk assessments Draft models of credit information that predict trends and patterns Assessing, analysing and interpreting complicated financial information Undertaking risk analysis by developing statistical models Proficient in Microsoft Office Advanced Excel skills

Role & responsibilities What you will be doing The team is currently looking for a Data Analyst to be jointly responsible for the data standardisation, modelling, and forecasting of various demographic, socio-economic, and macroeconomic data meeting client needs and deadlines. This role demands a high level of analytical skill, proactive problem-solving, and commitment to continuously improving data modelling and forecasting techniques, as well as exploring and implementing new methods to improve data comparability and quality. drivers - Analyze and manipulate datasets, carrying out calculations and numerical analysis using R. Standardize raw statistical data to ensure cross-source comparability. Extrapolate and interpolate data using both quantitative and qualitative methods to develop modelling and forecasting techniques. Monitor, review, and enhance data quality. Document all work processes to ensure team alignment and best practices. Liaise with sales and marketing departments and handle client queries. What youll need- Background in mathematics, econometrics, data science, statistics or similar fields. Proficiency in R. Basic knowledge of Python. Experience in data manipulation, statistical analysis and time series forecasting. Excellent communications skills and fluency in English (both oral & written). Strong organizational skills, creativity and attention to detail. Ability to work on own initiative. What you will get - Professional Development: Grow your career with opportunities within a consultative and professional environment Flexible Work Schedule: Achieve a healthy work-life balance with our flexible work schedule options, including remote work opportunities and flexible hours Positive Work Environment: Join a collaborative and inclusive workplace culture where your ideas are valued, diversity is celebrated, and teamwork is encouraged Community Involvement: Make a positive impact in the community through our volunteer programs, charitable initiatives, and corporate social responsibility efforts (and more.!) Our Values We act with integrity We are curious about the world We are stronger together We seek to empower We find strength in diversity Preferred candidate profile

Cradlepoint is seeking a Senior Data Scientist to develop AI/ML methods, processes, and systems that extract knowledge and insights, driving the future of artificial intelligence. You will undertake data science tasks, perform advanced statistical analysis, and translate data into actionable insights for the business, identifying trends and measuring performance to address key business problems. You will collaborate with business and process owners to understand business issues and with engineers to implement and deploy scalable solutions. What You Will Do: Key Responsibilities Apply and/or develop statistical modeling techniques such as deep neural networks, Bayesian models, Generative AI, and Forecasting, along with other Machine Learning (ML) techniques. Synthesize complex problems into data question(s) , guiding the analytical approach. Convert raw data into practical and actionable insights that drive business value. Analyze and investigate data quality for identified data, communicating findings to Product Owners, Business Analysts, and other relevant stakeholders. Collect, explore, and perform analysis on data to extract information suitable for business needs. Identify data gaps, aggregate data as per business requirements, and design and perform Data Analysis, Data Validation, Data Transformation, and Feature Extraction . Decide on the approach for addressing business needs with Data & Analytics. Understand end-user needs and work accordingly to identify new features in the data. Develop Data Science and Engineering Infrastructure & Tools . Derive key metrics suitable for the use-case and present the analysis to key stakeholders effectively. What You Will Bring: Required Qualifications A Bachelor's or higher degree in Computer Science, Statistics, Mathematics, or related disciplines. Ability to analyze data and communicate outcomes to key stakeholders , exploring new data sources. Excellent coding skills in Python, R, SQL , etc. Understanding of cloud services . Evidence of academic training in Statistics . Deep/broad knowledge of machine learning, statistics, optimization , or a related field. A genuine curiosity about new and applied technology and software engineering , coupled with a high degree of business understanding. Experience in Generative AI and Large Language Models (LLMs) . Preferred Qualifications Experience in large-scale product development is a plus.