1151 Statistical Modeling Jobs - Page 29

Teradata is seeking a highly skilled and client-focused Data Scientist to join our dynamic ASIA PS Consulting team based out of India In this role, you will be instrumental in delivering impactful analytical solutions to our diverse customer base, leveraging Teradata's industry-leading data platform and advanced analytics capabilities With a strong emphasis on Voice Analytics for the next year, you will work closely with clients to understand their business challenges and translate them into actionable data-driven insights You will also play a crucial role in the sales cycle, providing technical expertise and support to our Consulting Sales Executives by conducting presentations, engaging in architecture discussions, and accurately scoping project requirements This position offers a unique blend of technical mastery, client interaction, and business impact, making it an ideal opportunity for a data scientist who thrives in a fast-paced, customer-centric environment within a leading data and analytics company, What You Will Do Client-Centric Solution Delivery: Design, develop, and deploy customized analytical solutions to address specific client business needs leveraging Teradata Vantage and related technologies, Conduct thorough data exploration, feature engineering, and model development using machine learning and statistical techniques within the Teradata ecosystem, Implement and optimize machine learning models in production environments on Teradata platforms, ensuring scalability and performance, Generate clear, concise, and actionable reports and presentations to communicate findings and recommendations to clients, Provide ongoing technical support and guidance to clients, ensuring successful solution adoption and utilization, with a focus on Teradata specific tools and processes, Voice Analytics Expertise: Posses deep expertise in Voice Analytics, staying current with the latest advancements in NLP, speech recognition, and related technologies, and how they can integrate with Teradata, Utilize techniques such as sentiment analysis, topic modeling to extract valuable insights from voice data, optimized for Teradata's parallel processing capabilities, Build and fine-tune custom voice analytics models tailored to specific client requirements, leveraging Teradata's in-database analytics, Pre-Sales and Sales Support: Collaborate with Teradata sales executives to understand client needs and develop tailored solution proposals, Deliver compelling technical presentations and demonstrations showcasing the capabilities of Teradata Vantage, Engage in detailed architectural discussions with potential clients, providing expert guidance on solution design and integration with Teradata platforms, Accurately scope project requirements, estimate effort, and contribute to the development of Statements of Work (SOWs), Address technical questions from clients and prospects regarding Teradata's capabilities, Teradata Platform Expertise: Utilize Teradata Vantage and related tools for data warehousing, data processing, and machine learning, Optimize data pipelines and queries for performance on Teradata platforms, Leverage Teradata's in-database analytics capabilities to build and deploy machine learning models, Understand and apply best practices for data management and security within the Teradata environment, Advanced AI/ML and Vector Store: Generate Vector Embeddings and manage Vector Stores for efficient storage and retrieval of high-dimensional embeddings representing text, audio, and other data types for semantic search and similarity analysis, Develop and deploy Retrieval-Augmented Generation (RAG) based architectures to enhance the accuracy and contextuality of AI-powered applications, Data Science Best Practices: Apply statistical modeling, machine learning, and data mining techniques to solve complex business problems, Develop and maintain data science workflows and documentation, Stay up-to-date on the latest advancements in data science, machine learning, and related technologies, Collaboration and Communication: Work closely with cross-functional teams, including product, engineering, and sales, to ensure seamless solution delivery, Effectively communicate complex technical concepts to both technical and non-technical audiences, Build and maintain strong relationships with clients, fostering trust and ensuring customer satisfaction, Who Youll Work With Work in close coordination with Pre-Sales Data Science teams to serve global customers, Work closely with cross-functional teams, including product, engineering, and sales, to ensure seamless solution delivery, What Makes You a Qualified Candidate Bachelors, Masters or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, or Data Science) 8 years of related work and/or research experience in quantitative roles In-depth knowledge in at least 1 of the following data science domains other than Signal Processing, Image, Video, Voice Text Mining / NLP Graph and Network Analysis Deep Learning/Gen AI Geospatial Analysis Predictive Modeling and Recommender Systems Extensive knowledge of at least one open-source scientific language such as Python Knowledge of working with AI/ML modules of cloud providers is a plus Fluency in SQL and good knowledge of relational databases Passionate about asking and answering questions in large, distributed datasets Experience with at least one general purpose, high level programming language such as C/C++, Java, PHP, or Python What Youll Bring Experience implementing end-to-end large scale Machine Learning/AI project Experience in Python, SQL Be a clear and confident communicator with excellent presentation skills and with the ability to translate technology concepts into concise business focused messages in both technical and sales presentations Possess strong interpersonal and communication skills Be proficient in the use of both written and spoken business English Proven skills in creative-problem-solving of complex and advanced technical subject matter Possess a solid understanding of the value of data and how technology enables companies to compete better in the market place Be able to consult in a client facing environment, linking analytical solutions to the value and competitive advantage that technology can help a client deliver, Will have prior experience of working in a multi-country organization Have the ability to collaborate with an interdisciplinary team to solve problems Be self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real world problems Be willing to travel up to 40-70% Why We Think Youll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work We focus on well-being because we care about our people and their ability to thrive both personally and professionally We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are, Teradata invites all identities and backgrounds in the workplace We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization ? We are proud to be an equal opportunity and affirmative action employer We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status,

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India Minimum qualifications: Bachelor's degree or equivalent practical experience, 5 years of experience in project management and stakeholder management, Preferred qualifications: MBA or Six Sigma certification, Experience with AI/LLM technologies, Experience collecting, synthesizing, analyzing, and visualizing complex sources of data, to derive insights and form recommendations to improve operational efficiency and efficacy, Ability to identify and implement automation opportunities, and familiarity with dashboard tools like SQL/Dremel, Data Studio, or Tableau, Ability to build stories and compelling narratives that enable thoughtful decision making and work with our partners in a positive, productive way that encourages collaboration, Strong executive communication and collaboration skills, including ability to influence without authority and cultivate strong cross-functional relationships, About The Job The Global Vendor Operations (GVO) organization oversees vendor operations for all of YouTube These vendors provide support to all YouTube users -viewers, paid users and subscribers, and creators, artists and media companies globally, across all YouTube products, The Quality & Training Effectiveness (QTE) team's mission is to enable quality and training teams across GVO to achieve desired operational outcomes that are scalable, standardized, and sustainable This means they focus on creating processes and systems that can grow with the business, are consistent across different areas, and can be maintained effectively over time, In practice, this involves working collaboratively to build synergies between programs, simplifying complex processes, and delivering deeper insights into operational performance The team aims to have a multiplier effect on impact, reducing complexity for stakeholders and fostering innovation to adapt to future changes making the QTE team's role vital in driving operational excellence within GVO, As the Quality and Training Effectiveness Manager, you will drive global training and quality initiatives by collaborating with cross-functional teams to implement process improvements and leverage AI solutions This role focuses on streamlining workflows, automating tasks, and ensuring consistent global operations, delivering measurable impact on both training effectiveness and overall quality, At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world We explore new ideas, solve real problems, and have fun ? and we do it all together, Responsibilities Design and implement a comprehensive framework focused on user delight and operational excellence, driving continuous improvement through strategic reviews and data-driven analysis, Identify and leverage synergies across existing and developing programs to maximize business impact Develop resilient operational systems that can effectively adapt to future changes, ensuring seamless execution across global partnerships, Reduce complexity by implementing process automation, consolidation, and strategic mapping, emphasizing value-added efforts and eliminating operational gaps, Utilize advanced data analysis, statistical modeling, and AI/LLM models to automate tasks, enhance decision-making, and drive predictive analytics, ensuring continuous optimization through experimentation and A/B testing, Design and maintain data pipelines and dashboards for real-time insights, and collaborate with technical teams to deploy tailored AI solutions, ensuring effective performance monitoring and continuous improvement, Google is proud to be an equal opportunity workplace and is an affirmative action employer We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status We also consider qualified applicants regardless of criminal histories, consistent with legal requirements See also Google's EEO Policy and EEO is the Law If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form ,

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI) We are looking for Indias top 1% Data Scientists for a unique job opportunity to work with the industry leaders, Who can be a part of the community We are looking for top-tier Data Scientists with expertise in predictive modeling, statistical analysis, and A/B testing If you have experience in this field then this is your chance to collaborate with industry leaders, Whats in it for you Pay above market standards The role is going to be contract based with project timelines from 2 12 months, or freelancing, Be a part of an Elite Community of professionals who can solve complex AI challenges, Work location could be: Remote (Highly likely) Onsite on client location Deccan AIs Office: Hyderabad or Bangalore Responsibilities: Lead design, development, and deployment of scalable data science solutions optimizing large-scale data pipelines in collaboration with engineering teams, Architect advanced machine learning models (deep learning, RL, ensemble) and apply statistical analysis for business insights, Apply statistical analysis, predictive modeling, and optimization techniques to derive actionable business insights, Own the full lifecycle of data science projects?from data acquisition, preprocessing, and exploratory data analysis (EDA) to model development, deployment, and monitoring, Implement MLOps workflows (model training, deployment, versioning, monitoring) and conduct A/B testing to validate models, Required Skills: Expert in Python, data science libraries (Pandas, NumPy, Scikit-learn), and R with extensive experience with machine learning (XGBoost, PyTorch, TensorFlow) and statistical modeling, Proficient in building scalable data pipelines (Apache Spark, Dask) and cloud platforms (AWS, GCP, Azure), Expertise in MLOps (Docker, Kubernetes, MLflow, CI/CD) along with strong data visualization skills (Tableau, Plotly Dash) and business acumen, Nice to Have: Experience with NLP, computer vision, recommendation systems, or real-time data processing (Kafka, Flink), Knowledge of data privacy regulations (GDPR, CCPA) and ethical AI practices, Contributions to open-source projects or published research, What are the next steps Register on our Soul AI website Our team will review your profile Clear all the screening rounds: Clear the assessments once you are shortlisted Profile matching and Project Allocation: Be patient while we align your skills and preferences with the available project Skip the Noise Focus on Opportunities Built for You!

About us Bain & Company is a global management consulting that helps the worlds most ambitious change makers define the future Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry, In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies BCN is an integral and largest unit of (ECD) Expert Client Delivery ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property The BCN comprises of Consulting Services, Knowledge Services and Shared Services, Who you will work with Pyxis leverages a broad portfolio of 50+ alternative datasets to provide real-time market intelligence and customer insights through a unique business model that enables us to provide our clients with competitive intelligence unrivaled in the market today We provide insights and data via custom one-time projects or ongoing subscriptions to data feeds and visualization tools We also offer custom data and analytics projects to suit our clientsneeds Pyxis can help teams answer core questions about market dynamics, products, customer behavior, and ad spending on Amazon with a focus on providing our data and insights to clients in the way that best suits their needs Refer to: pyxisbybain, What youll do Primary responsibilities will include working closely with the Estimations, Data Operations, and Engineering teams, This will include helping and assist our clients on large datasets; focused on data projections, estimations, and validation, Work with Estimations & Methods and Data Operations teams to ensure data delivered to clients is of high quality and ready for analysis Lead monthly data refresh validations, leveraging automation tools and working closely with the Data Operations team to refine process over time Assist with research of secondary information to validate data trends Assist in implementation of data science methods such as forecasting, regression, anomaly detection, clustering, and other machine learning techniques as part of estimations toolkit where appropriate Help team in improving quality of core data assets as well as enhance analytic capabilities of delivered data Research, suggest and implement best practices for management of market measurement data, projections, and analytics from Pyxisvast array of alternative data sources and supplemental datasets Contribute to internal and external applications by developing analytical services that enable scalable data processes and democratize data techniques across team members Prepare various sources of data using data wrangling methods in Python, R and SQL, leveraging infrastructure including Cloud computing solutions and relational database environments Assist with creation and documentation of standard operating procedures for repeated data processes, as well as knowledge base of data methods About you 3+ years of experience in data mining, statistical modelling, and data analysis, preferably in ecommerce industry, with at least Bachelors in mathematics, engineering, science, statistics or technical degree Expertise working with large data sets and proficiency in SQL, Excel Experience in Python Experience in statistical analysis and A/B testing, predictive modeling, computational systems, and optimization techniques Excellent verbal, written, and data visualization skills Independently manage stakeholders with frequent communication, expectation management, meeting deadlines and the backlog Demonstrated ability to manage projects and work with different functions (product, strategy, engineering, etc ) Experience working with financial statements and basic knowledge of accounting and finance concepts is a plus Experience with Git and modern software development workflow is a plus Agile way of working and tools (Jira, Confluence, Miro) What makes us a great place to work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility We are currently ranked the #1 consulting firm on Glassdoors Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years We believe that diversity, inclusion and collaboration is key to building extraordinary teams We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents,

*Responsible for end to end business analytics *Responsible for stake holder handling and strategy development *Handling end to end projects Required Candidate profile exp in SAS/SQL/Tableau (writing codes from scratch) Key skills-Strategic development, statistical modelling ,logistics Regression,Predictive modelling,Customer segmentation

5 to 7 years of experience in Data Science or Machine Learning roles Proven ability to work on end-to-end ML projectsfrom research to production Conduct in-depth machine learning research and stay updated with state-of-the-art advancements Read, interpret, and implement research papers, especially in the Generative AI domain

Bachelor's degree in discipline such as Supply Chain, Economic, Manufacturing, Technology, or Data Analytics to bring diversity and different perspectives Minimum 3 years of experience in data analysis with understanding of statistical methods and strong analytical skills Experience with database management, programming, statistical modelling and/or business intelligence (SQL, R, Python, JMP, Tableau, etc.) Experienced with and proficient in Microsoft Office Suite Lateral and logical thinking. The ability to think creatively and outside the box to solve unique and challenging problems Motivated self-starter Strong problem-solving tendencies Willing and able to push boundaries Goal-oriented, with a focus on utilizing data for insight Able to multi-task, prioritize and project manage independently in an environment with competing priorities Experience working in a technical, operational or manufacturing environment with the ability to translate that knowledge into financial opportunities Diverse functional experience, with a desire to use data in negotiations Excellent communication skills and a proven history of excelling in a collaborative environment as a key team player Working closely with technical teams, and other organizations to understand the product and data Finding and interpreting large data sets to help predict costs Learning and understanding Boeing's data resources and knowing when, how, and which to use and which not to use. Identifying, analyzing, and solve systematic problems, while maintaining focus on the bigger picture Working together with the team to ensure data analysis and developed algorithms can be appropriately applied for negotiation support Ensuring data collected, analyzed and presented result in actionable insights for negotiation support Engaging and participating in negotiation support, to bolster the use of data analytics within supplier negotiations Understanding high-level business objectives and continually align those objectives to meet needs of the business.

Purpose of Role In this role, The Candidate should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. To help our company analyze trends to make better decisions. Build propensity models, customer segmentations, uplift models, campaign response models, risk, and fraud detection models. Also, integrate the models with the business processes and consuming systems via ML Ops processes. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to evaluate the effectiveness of different courses of action. Key Accountabilities Responsibilities will include but will not be restricted to: Create models as required by the business with a high degree of precision and recall. Model accuracy and stability are key accountabilities. Undertake preprocessing of structured and unstructured data and analyze large amounts of information to discover trends and patterns. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Technical Requirements (what) Proven experience of 3+ years as a Data Scientist. Post Graduate degree in Computer Science, Statistics, Engineering, Physics, Mathematics, Econometrics or MBA with a ML/DS focus. Knowledge of SQL and R or Python; familiarity with Scala & SPARK is an asset. Candidates with experience of working on AWS stack will be preferred, however this is not a compulsory requirement. Knowledge and experience in machine learning, optimization, statistical and data mining techniques- regression, simulation, clustering, decision trees, classification algos (bagging/boosting), neural networks. Desired Personal Qualities or Behavior Strong Analytical critical thinking skills and business acumen Strong commitment to professional development. Process Oriented and excellent time management skills. Ability to adapt to new situations and issues and to solve problems. Good organizational, communication, presentational and people skills - with the capability to communicate concisely and effectively equally well with fellow employees, non-technical colleagues and with members and/or customers alike. Interested candidates can share their resumes at - shubhanshi.agarwal@mounttalent.com Whatsapp - 7302239534

Job Description We are looking for Sr Data Scientist to join our Data Science and Engineering team who can solve our business and engineering problems efficiently using the various prediction models and heuristics. The responsibilities will include conducting thorough research on the input topics, generating ideas for features and models required for solving various problems for adserver and integrating the model with the main business application. The candidate must be a good programmer and good in data structures apart from being familiar with ML models like logistic regression/decision trees, NLP models and neural networks. Exposure to databases and engineering concepts are a must. Ultimately, youll deliver models with high accuracy that solves the engineering problem at hand, efficiently. Roles & Responsibilities Lead the development and implementation of advanced analytics projects to address business challenges and opportunities. Develop and deploy predictive models by doing research work for right model, data preparation involving various databases, building model and finetuning for accuracy and integrating with business application efficiently to optimize business processes and improve customer experience. Design and build machine learning models to extract insights from large datasets and improve decision-making processes. Collaborate with cross-functional teams including data engineers, business analysts, and product managers to define project requirements and deliver actionable insights. Conduct exploratory data analysis to identify trends, patterns, and outliers in data, and communicate findings to stakeholders. Stay current with industry trends and advancements in machine learning and data science techniques and provide recommendations for adopting new technologies and methodologies. Mentor junior data scientists and provide guidance on best practices for data analysis, model development, and presentation of results. Work closely with stakeholders to understand business objectives and develop data-driven solutions to address their needs. Communicate complex technical concepts and findings to non-technical stakeholders in a clear and concise manner. Lead by example in fostering a culture of innovation, collaboration, and continuous learning within the data science team. Skills, Qualifications, and minimum Experience Masters or PHD in CSE/Mathematics/Statistics Minimum of 5 years of experience in data science or related field, with a proven track record of delivering impactful analytics solutions Proficiency in programming languages such as Python, R, or Scala, as well as experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn) Strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning etc. Experience with big data technologies with In-depth understanding of SQL. Expert in creating data models, data structures and algorithms. Excellent problem-solving skills and the ability to work with large, complex datasets. Outstanding supervision and mentorship abilities with the ability to lead and mentor junior data scientists and drive projects to successful completion. Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork. Strong interpersonal and communication skills, with the ability to collaborate effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform is a plus. Familiarity with agile development methodologies and experience working in a fast-paced, dynamic environment.

Job Description We are looking for Lead Data Scientist to join our Data Science and Engineering team who can solve our business and engineering problems efficiently using the various prediction models and heuristics.The responsibilities will include conducting thorough research on the input topics, generating ideas for features and models required for solving various problems for adserver and integrating the model with the main business application. The candidate must be a good programmer and good in data structures apart from being familiar with ML models like logistic regression/decision trees, NLP models and neural networks. Exposure to databases and engineering concepts are a must.Ultimately, you'll deliver models with high accuracy that solves the engineering problem at hand, efficiently. Roles & Responsibilities Lead the development and implementation of advanced analytics projects to address business challenges and opportunities. Develop and deploy predictive models by doing research work for right model, data preparation involving various databases, building model and finetuning for accuracy and integrating with business application efficiently to optimize business processes and improve customer experience. Design and build machine learning models to extract insights from large datasets and improve decision-making processes. Collaborate with cross-functional teams including data engineers, business analysts, and product managers to define project requirements and deliver actionable insights. Conduct exploratory data analysis to identify trends, patterns, and outliers in data, and communicate findings to stakeholders. Stay current with industry trends and advancements in machine learning and data science techniques and provide recommendations for adopting new technologies and methodologies. Mentor junior data scientists and provide guidance on best practices for data analysis, model development, and presentation of results. Work closely with stakeholders to understand business objectives and develop data-driven solutions to address their needs. Communicate complex technical concepts and findings to non-technical stakeholders in a clear and concise manner. Lead by example in fostering a culture of innovation, collaboration, and continuous learning within the data science team. Skills, Qualifications, and minimum Experience Masters or PHD in CSE/Mathematics/Statistics Minimum of 9 years of experience in data science or related field, with a proven track record of delivering impactful analytics solutions Proficiency in programming languages such as Python, R, or Scala, as well as experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn) Strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning etc. Experience with big data technologies with In-depth understanding of SQL. Expert in creating data models, data structures and algorithms. Excellent problem-solving skills and the ability to work with large, complex datasets. Outstanding supervision and mentorship abilities with the ability to lead and mentor junior data scientists and drive projects to successful completion. Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork. Strong interpersonal and communication skills, with the ability to collaborate effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform is a plus. Familiarity with agile development methodologies and experience working in a fast-paced, dynamic environment.

About The Role Grade M3/M4/M5 Role Team Member - Credit Risk Analyst Department Risk Management Reporting Relationship Team Lead Credit Risk Location Mumbai Role Requirements Credit Risk Analytics and Modelling Analyse, model, validate and document various measures of Credit Risk for use in Expected Credit Loss and Capital computations. Hands-on experience in building, implementing, documenting, monitoring, validating, refining models and scorecards in particular for PD, LGD, EAD and related Credit Risk metrics - using statistical methods and / or expert judgement based techniques. In depth understanding of the techniques and functional insights that drive Credit Risk models and the experience of having used modelled output in computing Expected Credit Loss (ECL) under Ind AS, Credit Risk Capital under Internal Ratings based approaches, Economic Capital and having taken these measures through the scrutiny of auditors and regulators. This is the main requirement of the role and the individual should have a good knowledge of this function. Derive insights from data and effectively communicate these insights to Risk, Credit and Business teams. Develop Risk Dashboards and analytical reports for Senior Management. Preparing and submitting reports to the regulator and / or senior management on a periodic and adhoc basis. The job-holder will be responsible for computing and reporting ECL and related metrics on an on-going basis. Ability to work with (gather, consolidate, prepare, summarise) large data sets on a routine basis with an eye for detail and flair for numbers. Data cleansing and preparation for use in model building. Ensure reliability, integrity and consistency of reported and underlying data Pre-Requisites About 4 to 8 years of experience in a Bank, NBFC, Consulting Firm, Rating Agency in the areas of working PD, LGD, ECL, EAD. Exposure to risk reporting or financial reporting would be an advantage. Degree in statistics, mathematics or econometrics (or equivalent professional qualifications) with hands-on experience in statistical model development, implementation, validation would be an advantage. Experience and expertise in using any one or more among Python / SAS / R. Intermediate level SQL skills will be useful. Strong experience in areas like delinquency or loan loss forecasting, expected credit losses capital computation under advanced approaches. Above average to advanced excel skills Experience in projects involving automation / data consolidation in the areas of risk or financial reporting would be an advantage Skills and Knowledge CA or MBA with FRM preferred Understanding analysis of various types of credits Proven management and supervisory skills Excellent interpersonal skills, verbal/written communication skills and strong project management skills Above average to advanced excel skills Experience in working with Python, SQL or SAS would be an added advantage.

About The Role New or Never Normal Job Title: Internal Audit Team Member Corporate Grade: CA fresher"™s Kotak Overview Kotak Mahindra Bank Limited is an Indian banking and financial services company headquartered in Mumbai, India. It offers banking products and financial services for corporate and retail customers in the areas of personal finance, investment banking, life insurance, and wealth management. At Kotak, we expect more from ourselves, than what anyone else expects of us. This way, we are creating a rewarding and delightful experience every day for our customers. We are an equal opportunity employer and we are opposed to discrimination on any grounds. Overall purpose of role As Kotak Internal Audit Member, you will be a part of Kotak Internal Audit Department (IAD) which aims to provide independent, reliable, valued, insightful and timely assurance to the Board and executive management thus demonstrating a role of an ENABLER . This is achieved by looking at the effectiveness of governance, risk/control framework over current and evolving risks, within the current and expected business environment and in accordance with the international standards definition of internal auditing. Kotak IAD is a 200+ member department spread across 5 locations (Mumbai, Ahmedabad, Bangalore, Chennai and Delhi) which is set up to perform Internal Audits for KMBL (Kotak Mahindra Bank Limited) Flagship Company of the Kotak group. A one-stop shop. 4 Strategic Business Units - Consumer Banking, Corporate Banking (Wholesale Banking), Commercial Banking, Treasury. Key Accountabilities Executing the delivery of the Kotak IAD"™s Audit plan for the calendar year. "¢ To assist the Team Supervisor / Team Lead on assigned audit work of KMBL Businesses & Processes. This will entail working on the audit to deliver the Audit Planning Memo, Controls Document, agree issues & action plans with management and submission of draft report to the Team Supervisor. "¢ Demonstrate sound knowledge of both business/technical areas and expert knowledge in the audit process, including the IA systems, to ensure that audit work is carried out with a high standard that meets all methodologies. "¢ Demonstrate sound knowledge of regulations governing the bank (RBI, IRDA, SEBI, FEMA, FIMMDA, FEDAI, FATCA, NDS-OM, etc.) "¢ Conducts reviews to understand end-to-end process, evaluate and highlight key control deficiencies, analyse root cause and discuss / agree with management for effective and timely remediation plans. "¢ Manage individual workflow to ensure timely report deliveries with quality articulation of audit queries "¢ Writing high quality audit reports. To embrace and demonstrate effective Audit report writing & presentation skills from E2E perspective (Planning, Execution, Discussion, Clarification, Finalisation, Documentation into system etc.) "¢ Endeavouring to update awareness of risk issues and changes across relevant business units and use this knowledge to update the audit approach. "¢ Driving and leading discussions with relevant stakeholders regarding audit observations, consulting with IAD team supervisors / Team Leads. Decision-making and Problem Solving Take into account reputation of Kotak at all times, through positive interactions and adhering to policies, procedures and manuals. Set an example and supports fair and ethical behaviour. Make sure you are equipped to be able to protect our reputation at all times. Challenge others where appropriate, if you believe self to be correct. Endeavour to be part in decision making on a broad range of factors, with Kotak"™s values at heart - Always Responsible, Always Accountable. Risk and Control Objective [This section is mandatory for all role profiles] Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Kotak"™s Policies and Standards. Person Specification Personal attributes essential to performing role including competencies, expertise, knowledge, and experience. Noteexperience requirements must not be in the form of years (minimum or otherwise). Essential Skills/Basic & Preferred Qualifications: Understanding of Banking Business their products and processes. "¢ Person who can work alone, close audits and manage stakeholders "¢ Relevant professional qualifications e.g. CA/CMA, CISA, CIA, (Bachelor"™s degree mandatory). "¢ A Bachelor"™s degree in Commerce (preferably) holder with at least3-5 years of experiencein internal audit of a financial institution and/or relevant experience in the following areas: "¢ Experience in a BFSI or Finance processes, including audit. Understanding of relevant regulatory environment would be an added advantage. "¢ Experience in data analytics and/or exposure to data science/machine learning techniques would be an added advantage.

Job Description Summary The Sr Data Scientist will contribute to ideating and developing near-term and long-term projects with significant business impact. In this role, the person will support the technology roadmap of the organization in the areas of computer vision, image analytics, and deep learning, and will be involved in creating impactful projects in these domains. Additionally, the individual will participate in reviews and provide technical support for global teams, helping to integrate advanced techniques into GE Aerospace's solutions. Job Description Company Overview Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight! Site Overview Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing. Role Overview As a Sr Data Scientist, you will be part of a data science or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization. Partner with GE Software Engagement Managers to shape Statements of Work for Data Science opportunities and GE Software Solutions Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value Serve as a recognized technical leader in data science - anticipate, develop and apply technology to current and future business opportunities. Proficient in statistics, machine learning and deep learning technologies Identify opportunities to use data science to create customer value, execute on the same. Develop, verify and validate analytics to address customer needs and opportunities, communicate methods, findings and hypothesis with stakeholders. Influence the decisions the leadership takes with relevant inputs and suggestions. Being aware of the latest technology trends in the industry and introducing the relevant ones within the organization Identifies IP Opportunities and Supports technical roadmap development within domain , site , Organization. Lead initiatives to continuously improve data science methodologies and processes, leveraging lean principles to enhance efficiency and effectiveness in project delivery. Develop, verify, and validate analytics to address customer needs and opportunities. Work as part of a cross-functional team to translate algorithms into commercially viable products and services. Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. Communicate methods, findings, and hypotheses with stakeholders. Ensure that projects comply with relevant aerospace industry regulations and standards, maintaining the highest levels of safety and quality. The Ideal Candidate Ideal candidate should have experience in Image Analytics, Computer Vision, Python and cloud platforms Required Qualifications: Bachelor's Degree in Computer Science or STEM Majors (Science, Technology, Engineering and Math) with 5+ experience in data science Demonstrated skill in the use of Python and or other analytic software tools or languages Demonstrated skill in guiding teams to solve business problems Strong communication, interpersonal and leadership skills Preferred Qualifications : Humble: respectful, receptive, agile, eager to learn Transparent: shares critical information, speaks with candor, contributes constructively Focused: quick learner, strategically prioritizes work, committed Leadership ability: strong communicator, decision-maker, collaborative Problem solver: analytical-minded, challenges existing processes, critical thinker Whether we are manufacturing components for our engines, driving innovation in fuel and noise reduction, or unlocking new opportunities to grow and deliver more productivity, our GE Aerospace teams are dedicated and making a global impact. Join us and help move the aerospace industry forward. #LI-VR1 Additional Information Relocation Assistance Provided: No

Description The Analyst - Healthcare and Lifescience COE will play a key role in analyzing data and providing insights to support the healthcare and life sciences teams. This entry-level position is ideal for candidates looking to start their career in this dynamic field. Responsibilities Conduct data analysis to identify trends and insights in healthcare and life sciences sectors. Assist in the preparation of reports and presentations for stakeholders. Collaborate with cross-functional teams to support data-driven decision making. Support the development and implementation of analytical models and tools. Engage in research to stay updated on industry trends and best practices. Skills and Qualifications Bachelor's degree in Healthcare, Life Sciences, Data Science, or related field. Proficient in data analysis tools such as Excel, SQL, or Python. Strong analytical and problem-solving skills. Excellent communication skills, both verbal and written. Ability to work in a team-oriented environment and collaborate with various departments.

Role Summary: The Senior Data Scientist is a technical leadership role with direct accountability for the delivery of multiple projects within FMCG including the management of the analytics quality on these projects. The Senior Data Scientist collaborates closely with other Data Scientists and consultants on projects (across the FMCG client portfolio) to transform client questions and issues into analytical solutions. Key responsibilities: Accountable for the analytics quality and delivery of key FMCG projects. Transforming client questions and issues into analytical solutions, through partnering with Consultants to scope solutions and ensure projects are successfully delivering value to clients. Task management including overseeing and delegating technical tasks amongst data scientists. Team management: leading a small team of technical analysts (~1-3 direct reports). Key activities: * Accountable for the analytics quality and delivery of key FMCG projects: Delivery and build of analytical solutions, transforming transaction- or customer-level data sets into client ready strategic insights e.g. data exploration, cleansing, manipulation, extracting insights, and clear presentation via spreadsheets, PowerPoint presentations and self-service analytical visualization tools. Task management including overseeing and delegating technical tasks amongst analysts within project team, including reviewing code, analysis and outputs. Design and be accountable for solution design, analytical methodology / technique and quality assurance for analytical projects. Providing estimates of work effort, timeframes, costings and resourcing for analytical tasks. * Partnering with consultants to ensure projects are successfully delivered and providing value to clients: Convert data into meaningful, actionable recommendations for Quantium's clients. Transforming client questions and issues into analytical solutions, through project scoping and solution design. * Team management: leading a small team of Data Scientists: Directly manage all direct reports, managing on-boarding, driving their performance, supporting their development & progression and managing the formal performance review process. Provide technical guidance for direct reports and other analysts within the project team as needed / on a day-to-day basis. Support team initiatives, such as interviewing candidates, facilitating team training or knowledge sharing, or organizing events. Be a role model of Quantium's DNA and support a culture of collaboration, innovation, high-performance and fun. Experience and education required: 1. Approximately 5+ years experience in a highly technical analytics environment, carrying out data analytics or data science work. Strong coding experience in SQL. Experience in working with large datasets to solving commercial business problems (customer-level and/or sales transaction-level datasets preferred). Advanced knowledge of technical analytics discipline, including data preparation, feature engineering and foundational analytics concepts, model development and model training. 2. Well-developed commercial acumen to understand business needs and be able suggest the commercial impacts of different analytics solutions or approaches. Experience transforming client questions and issues into analytical solutions, through project scoping and solution design. Experience in FMCG/CPG or Retail industry (preferred). Experience working in consulting environment (preferred). 3. Experience in supervising the work of others as a senior team member, project manager or team leader. 4. Experience with successfully managing either internal and external stakeholders, delivering against projects, tasks and activities in a dynamic deadline driven environments. 5. Experience and interest in people management, mentoring and development. 6.Tertiary qualifications in engineering, mathematics, actuarial studies, statistics, physics, or a related discipline. Key business capabilities required: 1. Resource Planning - Coordination of resources effectively to achieve committed client outcomes at a high level of quality. 2. Client Project Planning - Effective capture, planning and management of the series of inter-related activities involved in delivering the agreed client scope of work, including managing dependencies, making decisions on variances to the original plan and aligning stakeholders. 3. Client Project Delivery- Effective management that integrates people, systems, structures and practices across Quantium and a client organization to ensure high quality project delivery. 4. Business and Product Requirements - Ability to effectively translate business and client needs or problems into an a sustainable technical or product solution. 5. Method Evaluation - Assess the appropriateness of the solution to the original problem and the application of the method. 6. Method Selection - Choose the appropriate type of analytics or modelling to best solve the problem, given all inputs and prescribed outputs. 7. Method Design - Design the most appropriate structure for the method that best solves the problem, given inputs and prescribed outputs. 8. Insight Generation: Convert information into meaningful, actionable recommendations for Quantium's clients and partners. Key People and leadership capabilities required: 1. Self-aware - you leverage diversity across people, tasks, client interactions and projects, taking responsibility for self and other. 2. Agile and innovative - you possess strong lateral thinking skills and actively develop these in others. 3. Achieve and perform - you have exceptional execution skills and are achievement focused. 4. Brand advocate - you anticipate and consider brand and cultural impact in decision making. 5. Purposeful and aligned - you can set clear, tangible objectives which deliver against our strategy. 6. Achievement oriented - you effectively facilitate challenging performance related conversations in a timely and appropriate manner. 7. Coach - you demonstrate the ability to coach and develop others while facilitating learning, growth and engagement.

Role & responsibilities As a Principal Data Scientist in our AdTech team, youll drive innovation in our advertising platform using advanced machine learning and statistical methods. Youll tackle complex problems in real-time bidding, ad ranking optimization, budget efficiency, and performance measurement that directly impact our businesss bottom line. This role requires technical excellence and business acumen and youll collaborate with cross-functional teams to transform data insights into actionable strategies that enhance our advertising ecosystem. Preferred candidate profile B.Tech in Computer Science, Machine Learning, or a related field with at least 6+ years of experience in AI/ML research. Experience in auction theory, predictive modelling, causal inference, and reinforcement learning. Expertise in PyTorch or TensorFlow, and proficiency in Python as well as big data technologies. History of mentoring junior data scientists, and comfortable in driving multiple problem statements. Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences. Design and develop sophisticated bidding, budget pacing and other algorithms that optimize ad spend or ROI. Create frameworks and experimental design to measure ad effectiveness and ROI. Collaborate with product and engineering teams to translate business requirements into efficient AI/ML solutions. Communicate long-term roadmap, insights and recommendations to tech and business leadership. Mentor junior data scientists and provide technical guidance. Lead research initiatives in machine learning, auction theory and advertising technology.. Adtech domain experience is mandatory.

Location : Pune (FC Road ] Experience: 2- 6YRS Qualification : Bachelors degree in Computer Science, Engineering, or related field WORK Mode : OFFICE MANDATORY Salary: As per the company norms Notice Period : Immediate Job Description : We are looking for an experienced and dynamic Business Analytics & Data Analytics Trainer to join our team. The ideal candidate will be responsible for designing and delivering training sessions on business analytics concepts, tools, and applications. You will equip learners with the skills needed to interpret data, derive insights, and make strategic business decisions. Skills: Business Analytics, Data Analytics, Power BI, Advance Excel, SQL, Tableau, Python, Jira Tool, Responsibilities and Duties - Deliver engaging and interactive training sessions on Java full stack development. Develop and update curriculum and training materials. Provide hands-on coding exercises and projects to reinforce learning. Assess student performance through quizzes, assignments, and projects. Stay updated with the latest trends and technologies in Java full stack development. Provide one-on-one mentorship and support to students. Collaborate with other trainers and staff to ensure a cohesive learning experience. Web Development . (Note: PART TIME WORKER PLEASE DO NOT APPLY) Interested candidates can drop their CV on aishwaryapawar@sevenmentor.com OR contact on 9503389804

Job Overview: We are looking for a skilled Python and Data Science Programmer to develop and implement data-driven solutions. The ideal candidate should have strong expertise in Python, machine learning, data analysis, and statistical modeling. Key Responsibilities: Data Analysis & Processing: Collect, clean, and preprocess large datasets for analysis. Machine Learning: Build, train, and optimize machine learning models for predictive analytics. Algorithm Development: Implement data science algorithms and statistical models for problem-solving. Automation & Scripting: Develop Python scripts and automation tools for data processing and reporting. Data Visualization: Create dashboards and visual reports using Matplotlib, Seaborn, Plotly, or Power BI/Tableau. Database Management: Work with SQL and NoSQL databases for data retrieval and storage. Collaboration: Work with cross-functional teams, including data engineers, business analysts, and software developers. Research & Innovation: Stay updated with the latest trends in AI, ML, and data science to improve existing models.

Role Responsibilities Develop and implement NLP models and algorithms to process large datasets. Enhance existing machine learning models to improve performance and accuracy. Conduct data preprocessing and feature extraction for various datasets. Analyze and visualize data to present insights to stakeholders. Stay updated with the latest trends in NLP and machine learning technologies. Collaborate with cross-functional teams to define project requirements and objectives. Develop and manage APIs for integrating NLP capabilities into applications. Perform statistical analysis on data and summarize results effectively. Assist in the deployment of machine learning models in production environments. Provide technical guidance and mentorship to junior team members. Document processes, projects, and findings for transparency and knowledge sharing. Conduct experiments to optimize model parameters and enhance performance. Participate in code reviews and contribute to a culture of continuous improvement. Implement best practices for software development including version control and testing. Engage in agile project management practices to ensure timely delivery of projects. Qualifications Bachelor's or Master's degree in Computer Science, Data Science, or related field. Proven experience in Natural Language Processing and Python programming. Strong knowledge of machine learning frameworks such as TensorFlow or PyTorch. Experience with libraries like NLTK, SpaCy, or similar. Solid understanding of statistical modeling and data analysis techniques. Familiarity with data visualization tools such as Matplotlib or Seaborn. Experience in developing APIs and integrating with software applications. Strong problem-solving and analytical skills. Ability to work independently and as part of a team. Excellent communication skills, both written and verbal. Hands-on experience with version control systems like Git. Knowledge of databases and SQL for data manipulation. Experience with agile project management methodologies. Passion for learning and staying updated with industry trends. Experience in software development best practices and testing. If you are passionate about leveraging NLP and Python to create impactful solutions, we invite you to apply and join our innovative team. Skills: text mining,data analysis,machine learning frameworks (tensorflow, pytorch),nltk,machine learning,deep learning,data analysis techniques,version control systems (git),python programming,agile project management,agile methodologies,statistical modeling,spacy,natural language processing,api development,data visualization,data visualization tools (matplotlib, seaborn),sql

You will help solve analytical problems across the organization and propose product and credit policy changes to improve company profitability. Specifically, you will monitor the portfolio, create a user valuations model, and propose new product and pricing strategies. Responsibilities: Build and maintain a user level valuations model to inform future product and marketing decisions and analyze drivers of profitability Monitor and update credit policy to optimize for company risk, profitability, and growth targets Propose data driven product changes to improve customer experience and company profitability. Partner with product and engineering teams to implement your solution into production. Monitor the company portfolio to identify trends, and lead weekly credit committee meeting to share performance updates and analysis Conduct ad-hoc analysis to identify underlying explanations for changes in portfolio performance, develop data-driven solutions, and evaluate expected portfolio impacts Collaborate with data science, product, and engineering to propose hypothesis testing to improve risk and profitability Develop statistical models to assist in pricing and user segmentation for capital markets transactions and financial data analysis Support the marketing and product team with their data needs. Qualifications - Fluency in SQL and R/Python. Previous experience in analytics and/or quantitative modeling, using large datasets Experience analyzing, visualizing and communicating impactful insights to management, investors and/or auditors Strong strategic thinking and problem-solving skills. 2-4 years relevant experience in Credit Analytics, preferably in the India Fintech industry. Enthusiasm for working across cultures, functions and time zones.

Looking for a skilled professional with 4 to 6 years of experience to join our team as a Manager - Analytics in Omega Healthcare Management Services Pvt. Ltd., located in [location to be specified]. The ideal candidate will have a strong background in analytics and data analysis, with excellent problem-solving skills. Roles and Responsibility Develop and implement advanced analytics models to drive business growth and improvement. Analyze complex data sets to identify trends and patterns, providing actionable insights. Collaborate with cross-functional teams to design and implement process improvements. Create and maintain dashboards and reports to track key performance indicators. Provide expert-level support for data-related projects and initiatives. Stay up-to-date with industry trends and emerging technologies in analytics. Job Requirements Strong proficiency in analytics tools and technologies, including statistical modeling and machine learning. Excellent communication and interpersonal skills, with the ability to work effectively with stakeholders at all levels. Strong problem-solving skills, with the ability to analyze complex data sets and identify creative solutions. Ability to work in a fast-paced environment, prioritizing multiple tasks and meeting deadlines. Strong attention to detail, with a focus on delivering high-quality results. Experience working with large datasets, with a strong understanding of data structures and algorithms.

As an Actuarial Intern , you will work alongside and learn from Oliver Wymans industry leaders and other experienced consultants while contributing to a broad range of client projects. You will gain industry exposure with Oliver Wymans clients, which include top tier insurance companies, reinsurance companies, investment banks, law firms, state regulators, and private equity firms. Potential projects may include: Actuarial model development of Life and Annuity products, valuation, and analysis support Supporting the transformation of pre and post actuarial model data and processes, including systems and financial reporting integration, analytics, and workflow Assisting with actuarial model conversions and optimization Perform Actuarial model testing and validation Client and industry presentations, surveys, case studies and marketing support Supporting development and maintenance of intellectual capital Qualifications and Desired Skills Currently pursuing or having recently obtained a Bachelors or Masters degree, ideally in Actuarial Science, Mathematics, Statistics, Finance, or a related field Commitment to passing actuarial exams Desire for rapid learning, high performance, and professional growth Strong written and oral communication skills Excellent time management skills Understanding of the value of collaboration, and the ability to work effectively in a team setting Deep critical-thinking skills and problem-solving ability Highly motivated individual and willingness to work in a dynamic environment Exposure to MS Excel, MS Access or other database software, with VBA or other programming languages experience

PositionDecision Scientist Roles and Responsibilities:- Regular analysis of the transaction and customer behaviour data to identify the key fraud trends and develop strategies to prevent the fraud and reduce genuine customer impact. Develop key fraud metrics across different merchant categories and communicate portfolio trends with the respective stakeholders. Support ad hoc analytical projects. Interact with cross functional teams (product, tech, operation, compliance, business) to develop fraud risk solutions. Proactively identify opportunities to enhance the current fraud risk management process. Explore new tools and features for better fraud prevention. Work closely with the business team in developing strategies for the new product launch. Skills and Qualifications:- Bachelor’s in engineering or Master's degree in Management, Maths, Statistics or related quantitative discipline. You must have 3+ years of experience in data analytics / risk analytics / business analytics. Proficient in SQL. Should be able to write queries to manipulate and consolidate data from multiple data sources. Excellent Excel skills. Strong quantitative abilities, distinctive problem-solving and excellent analytical skills. Strong organisational, communication, presentation and project management skills. Good working knowledge of programming languages like Python, R, SAS. Theoretical and practical knowledge of statistical techniques such as regression, segmentation, forecasting. Working experience with BI tools (QlikView/Tableau/PowerBI/ QlikSense etc) will be an added advantage. PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog. Life at PhonePe PhonePe in the news

Senior Data Scientist Enterprise Analytics Want to be part of the Data & Analytics organization, whose strategic goal is to create a world-class Data & Analytics company by building, embedding, and maturing a data-driven culture across Thomson Reuters. We are looking for a highly motivated individual with strong organizational and technical skills for the position of Senior Data Scientist. You will play a critical role working on cutting edge of analytics, leveraging predictive models, machine learning and generative AI to drive business insights and facilitating informed decision-making and help Thomson Reuters rapidly scale data-driven initiatives. About the Role In this opportunity as Senior Data Scientist, you will: Engage with stakeholders, business analysts and project team to understand the data requirements. Work in multiple business domain areas including Customer Service, Finance, Sales and Marketing. Design analytical frameworks to provide insights into a business problem. Explore and visualize multiple data sets to understand data available and prepare data for problem solving. Build machine learning models and/or statistical solutions. Build predictive models, generative AI solutions. 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. About You You're a fit for the role of Senior Data Scientist if your background includes: Experience- 6-8 Years in the field of Machine Learning & AI Must have a minimum of 3 years of experience working in the data science domain Degree preferred in a quantitative field (Computer Science, Statistics, etc.) Both technical and business acumen is required Technical skills Proficient in machine learning, statistical modelling, data science and generative AI techniques Highly proficient in Python and 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 Experience Predictive analytics for customer retention, upsell/cross sell products and new customer acquisition, Customer Segmentation, Recommendation engines (customer and AWS Personalize), POCs in building Generative AI solutions (GPT, Llama etc.,) Hands on with Prompt Engineering Experience in Customer Service, Finance, Sales and Marketing Additional Technical skills include Familiarity with Natural Language Processing including Feature Extraction techniques, Word Embeddings, Topic Modeling, Sentiment Analysis, Classification, Sequence Models and Transfer Learning Knowledgeable of AWS APIs for Machine Learning Has worked with Snowflake extensively. Good presentation skills and the ability to tell stories using data and Powerpoint/Dashboard Visualizations. Ability to communicate complex results in a simple and concise manner at all levels within the organization. Consulting Experience with a premier consulting firm. #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. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

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 3+ years' experience in technology roles. Must have a minimum of 1 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. 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