58 Statistical Modelling Jobs - Page 2

At PwC, we focus on leveraging data to drive insights and make informed business decisions. Our team in data and analytics utilizes advanced analytics techniques to help clients optimize their operations and achieve strategic goals. As a professional in data analysis at PwC, you will focus on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Your role will involve leveraging skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As you grow as a strategic advisor, you will leverage your influence, expertise, and network to deliver quality results. You will motivate and coach others to come together to solve complex problems. With increasing autonomy, you will apply sound judgment, recognizing when to take action and when to escalate. Your ability to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together will be essential. Developing and sustaining high-performing, diverse, and inclusive teams, along with a commitment to excellence, will contribute to the success of our firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: - Crafting and conveying clear, impactful, and engaging messages that tell a holistic story. - Applying systems thinking to identify underlying problems and/or opportunities. - Validating outcomes with clients, sharing alternative perspectives, and acting on client feedback. - Directing the team through complexity, demonstrating composure through ambiguous, challenging, and uncertain situations. - Deepening and evolving your expertise with a focus on staying relevant. - Initiating open and honest coaching conversations at all levels. - Making difficult decisions and taking action to resolve issues hindering team effectiveness. - Modeling and reinforcing professional and technical standards, the firm's code of conduct, and independence requirements. **Job Role:** Accounting Systems Senior Manager **Experience:** Professional with implementation exposure or 10+ years of experience in Financial Transformation/Finance System Implementation (e.g., Revenue Recognition (ASC 606), Zuora Billing and subscription understanding and exposure, Quote to cash, Revenue Assessment and Analytics, Revenue Automation, Sub Ledger Implementation, Consulting) **Location:** Kolkata, Bangalore, Mumbai, Hyderabad, Gurgaon **Job Summary:** As a Senior Manager in our Enterprise Risk and Regulatory vertical within the Advisory practice, you will have the opportunity to address financial reporting risk by helping the team implement and understand subledgers and rules engines that generate accounting entries posting to the General Ledger, and how quote to cash processes are implemented and designed across systems. **Job Description:** As a Senior Manager, you will work as part of a team of problem solvers with extensive consulting and industry experience, helping clients solve complex business issues from strategy to execution. You will lead a team of ASC 606 implementations using Zuora and similar tools, working on end-to-end implementation from proposal building to UAT in collaboration with the US team and end clients. Specific responsibilities include but are not limited to: - Implementing end-to-end ASC 606 revenue automation solutions - Providing support to clients for accounting standards compliance - Assisting various teams in implementing systems like Revenue Automation, Leasing standard system, Billing/subscription system, etc. - Implementing CPQ and Billing/Subscription systems in the order/quote to cash cycle - Working on projects involving implementing/testing on ERP or home-grown accounting systems - Developing use cases, test cases, and test results as per business requirements - Providing solutions for end-to-end implementation and integration with client systems, including unit and system testing to validate analytic procedures against expected results - Being an effective communicator, keeping the project team updated on status **General:** - Communicating clearly in writing, speaking, and presenting to project stakeholders - Collaborating effectively with a geographically dispersed team - Being responsive to client demands, project deadlines, and defect discovery and resolution - Utilizing effective time management, especially in prioritizing tasks in collaboration with team members **Skills:** **Must Have:** - Accounting/Engineering background and basic understanding of US GAAP/IFRS - Exposure to transformation projects - Project and team management experience - Stakeholder management experience - Ability to connect and build professional relations with senior stakeholders - Understanding of accounting processes and systems - Good knowledge of Revenue Recognition tools like Zuora Rev Pro, RevPro, RecVue, RigthRev - Good knowledge of POB, Accounting Setup, and Data Augmentation - Knowledge of Period Close and reconciliation - Exposure to development skills, SQL or PL/SQL - Good communication skills, stakeholder management, and status reporting experience **Good To Have:** - Zuora technical background - ASC 606 (US GAAP)/IFRS 15 exposure - Exposure to Order-to-cash implementation - Experience in data integrations - Consulting background **Preferred Qualifications:** B.Tech/Chartered Accountant/CPA (US)/ACCA/MBA (Finance)/B.Com/M.Com,

The opportunity We are looking for a Senior Consultant/Consultant Analytics with expertise in one of the industries across Banking, Insurance (not mandatory). Your key responsibilities - Develop Analytics Based Decision Making Frameworks for clients across Banking, Insurance sector - Project Management - Client Management - Support business development and new analytics solution development activities Skills and attributes for success - Domain expertise in one of the industries across Banking, Insurance (not mandatory) - Statistical modelling (Logistic / Linear regression, GLM modelling, Time-series forecasting, Scorecard development etc.) - Hands-on experience in one or more Statistics tool - SAS, Python & R - Experience in Tableau, Qlikview would be a plus - Data mining experience - Clustering, Segmentation - Machine learning and Python experience would be a plus To qualify for the role you must have - B Tech from top tier engineering schools or Masters in Statistics / Economics from the top universities - Minimum 6 years of relevant experience, with minimum 1 year of managerial experience for Senior Consultant - Minimum 1 year for Associate Consultant; Minimum 3 years for Consultant Ideally you'll also have - Strong communication, facilitation, relationship-building, presentation, and negotiation skills - Be highly flexible, adaptable, and creative - Comfortable interacting with senior executives (within the firm and at the client) - Strong leadership skills and supervisory responsibility What we look for We seek individuals with the ability to work in a collaborative way to provide services across multiple client departments while adhering to commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. What working at EY offers EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance. About EY As a global leader in assurance, tax, transaction, and advisory services, we're using the finance products, expertise, and systems we've developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we'll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible,

The opportunity We are looking for a Senior Consultant/Consultant Analytics with expertise in one of the industries across Banking, Insurance. Your key responsibilities will include developing Analytics Based Decision Making Frameworks for clients in the Banking and Insurance sector, project management, client management, and supporting business development and new analytics solution development activities. Skills and attributes for success To be successful in this role, you should have domain expertise in either Banking or Insurance. You should be proficient in statistical modelling including Logistic / Linear regression, GLM modelling, Time-series forecasting, Scorecard development, etc. Hands-on experience in at least one Statistics tool such as SAS, Python, or R is required. Experience in Tableau and Qlikview would be a plus. Data mining experience in Clustering and Segmentation, as well as knowledge of Machine learning and Python, would also be beneficial. To qualify for the role you must have A B Tech degree from a top-tier engineering school or a Masters in Statistics / Economics from a top university. You should have a minimum of 6 years of relevant experience, with at least 1 year of managerial experience for the position of Senior Consultant, 1 year for Associate Consultant, and 3 years for Consultant. Ideally you'll also have Strong communication, facilitation, relationship-building, presentation, and negotiation skills. You should be highly flexible, adaptable, and creative, with the ability to interact comfortably with senior executives both within the firm and at client sites. Strong leadership skills and supervisory responsibility are also desired. What we look for We seek individuals with the ability to work collaboratively across multiple client departments while adhering to commercial and legal requirements. You should have a practical approach to problem-solving and be able to deliver insightful and practical solutions. What working at EY offers EY is committed to being an inclusive employer and offers flexible working arrangements to help you achieve a balance between your career and personal priorities. While travel may be required for client-facing roles, our flexible working arrangements aim to support a healthy lifestyle balance. About EY EY is a global leader in assurance, tax, transaction, and advisory services. We are dedicated to building a better working world through our culture of providing training, opportunities, and creative freedom to our employees. Our commitment to hiring and developing passionate individuals is at the core of our ambition to be the best employer by 2020. If you meet the criteria outlined above and can confidently demonstrate your qualifications, please contact us as soon as possible.,

The role of Senior Consultant/Consultant Analytics at EY presents an exciting opportunity for individuals with expertise in the Banking or Insurance industries, although it is not mandatory. In this position, you will be responsible for developing Analytics Based Decision Making Frameworks for clients in the Banking and Insurance sectors. Your key duties will include project management, client management, supporting business development, as well as contributing to the development of new analytics solutions. To excel in this role, you should have domain expertise in either Banking or Insurance, statistical modelling skills (such as Logistic/Linear regression, GLM modelling, Time-series forecasting, Scorecard development), and hands-on experience in statistical tools like SAS, Python, and R. Additionally, experience in Tableau and Qlikview is desirable. Proficiency in data mining techniques like Clustering and Segmentation, as well as knowledge of machine learning and Python, will be advantageous. To qualify for this position, you should hold a B Tech from a top-tier engineering school or a Masters in Statistics/Economics from a leading university. A minimum of 6 years of relevant experience is required for Senior Consultants, with at least 1 year of managerial experience. For Associate Consultants, a minimum of 1 year of experience is necessary, while Consultants should have a minimum of 3 years of experience. Ideal candidates will possess strong communication, facilitation, relationship-building, presentation, and negotiation skills. They should also be highly flexible, adaptable, creative, and comfortable interacting with senior executives both within the firm and at client organizations. Strong leadership skills and supervisory experience are highly valued. EY is looking for individuals who can collaborate effectively across various client departments, uphold commercial and legal standards, and offer practical solutions to complex problems. The organization is committed to creating an inclusive work environment and is open to flexible working arrangements that support employees in achieving a healthy work-life balance. As a global leader in assurance, tax, transaction, and advisory services, EY is dedicated to fostering a culture that empowers its employees to make a positive impact. By providing training, opportunities, and creative freedom, EY aims to create a fulfilling work experience for its team members. If you believe you meet the qualifications outlined above and are eager to contribute to a dynamic and forward-thinking organization, we encourage you to get in touch with us at your earliest convenience.,

At PwC, our team in data and analytics focuses on utilizing data to drive insights and facilitate informed business decisions. By employing advanced analytics techniques, we assist clients in optimizing their operations and achieving strategic objectives. As a data analyst at PwC, your primary role involves utilizing advanced analytical methods to extract insights from extensive datasets, thereby enabling data-driven decision-making. Your responsibilities will include leveraging skills in data manipulation, visualization, and statistical modeling to support clients in resolving intricate business challenges. Your focus on building meaningful client relationships and learning to manage and inspire others is crucial. As you navigate through increasingly complex situations, you are encouraged to enhance your personal brand, deepen your technical expertise, and become more aware of your strengths. It is expected that you anticipate the needs of your teams and clients while consistently delivering quality results. Embracing ambiguity and uncertainty, you should be comfortable when the path forward is unclear, actively seeking answers and viewing such moments as opportunities for personal growth. To excel in this role, you should possess the following skills, knowledge, and experiences: - Respond effectively to diverse perspectives and needs. - Utilize a wide range of tools, methodologies, and techniques to generate innovative ideas and solve problems. - Employ critical thinking to dissect complex concepts. - Understand the broader objectives of your projects or role and how your work aligns with the overall strategy. - Develop a deeper understanding of the evolving business context. - Use reflection to enhance self-awareness, strengthen your capabilities, and address areas for development. - Interpret data to derive insights and make recommendations. - Uphold professional and technical standards, including compliance with specific PwC tax and audit guidelines, the Firm's code of conduct, and independence requirements. During the pre-close integration/separation management phase, some of your responsibilities may include: - Performing contractual diligence and reviewing sellcos valuation. - Evaluating the vendor landscape and prioritizing next steps. - Planning strategic disposition for vendors/customers to aid in separation/integration. - Collaborating with clients" function heads to establish requirements for the transfer of vendor agreements. - Designing and executing a detailed vendor engagement strategy and plan. - Identifying TSA and rTSA needs for the client, determining their duration and timing. - Mitigating stranded costs and preventing value leakage. - Conducting pre-close synergy analysis and identifying opportunities for cost reduction. In the post-close integration/separation management phase, your responsibilities might involve: - Validating Day 1 vendor transfer requirements to meet closing conditions. - Ensuring finalization of Assignment and TSA consents with clients. - Driving synergies between BuyCo and the parent company. - Tracking TSAs according to the integration roadmap. - Formulating and executing a TSA Exit strategy. To qualify for this role, you must have: - 5-7 years of industry experience in mergers & acquisitions with a strong knowledge base and proven success in pre-sign diligence, pre-close and post-close M&A support. - Experience in analyzing company financials, strategic planning, business reviews, and growth. - Exposure to Contracts Lifecycle Management (CLM) and legal/contractual due diligence. - Excellent written and verbal communication skills, along with strong research and data analysis capabilities. - Proficiency in working under strict deadlines and utilizing project management skills. - Problem-solving skills and the ability to conduct quantitative and qualitative analysis using Microsoft Office software. - Experience in creating clear reports, data visualization dashboards, and executive reports. - Familiarity with data visualization tools like Tableau, Power BI, and Excel Charts. - Knowledge of Alteryx and Python scripting will be advantageous. For educational qualifications, a Master's degree in Accounting, Finance, Economics, Business Administration/Management, or a related discipline is required. The ideal candidate will combine academic qualifications with a robust practical background in mergers and acquisitions, contractual due diligence, and data analysis.,

The candidate will have the opportunity to collaborate with multiple cross-functional global teams to deliver scalable data solutions. In this role, you will be expected to build scalable analytical frameworks to support product analytics for Uber's Customer Obsession Platform. You will work closely with product managers, engineers, operations, and various data teams to help create and execute the direction of the product roadmap. This includes scoping the business problem, providing a data lens to product design, owning the experimentation cycle to full global rollouts, and eventually impact estimation and long-term monitoring. Your responsibilities will also include proactively communicating insights and driving projects to achieve team goals. You will be tasked with ensuring data quality across critical pipelines and setting up processes to triage data issues. Additionally, you will build and maintain critical data pipelines, insight boards, and monitoring tools that help track metrics to measure and monitor platform health. The ideal candidate should have at least 2+ years of work experience with a Bachelor's Degree or 1+ years of work experience with a Master's Degree in a data-focused role such as product analytics, risk analytics, business analytics, business operations, or data science. An educational background in Engineering, Computer Science, Math, Economics, Statistics, or equivalent experience is preferred. Candidates should demonstrate 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 is desirable. Preferred qualifications include SQL mastery, experience in Python/R, Experimentation methods like A/B testing, and Statistical modelling. Experience in Customer Service related domains with a Product/Tech/Analytics Services company is a plus. The candidate should have the ability to handle and visualize large datasets, explore and utilize raw data feeds, and possess a love for data with the zeal to turn it into an insightful story. Furthermore, the ideal candidate should demonstrate an ability to build a structured approach to problem-solving that leads to high-quality hypotheses. They should have a strong sense of ownership, accountability, and entrepreneurial spirit. Effective communication skills, proactive collaboration, independence, and autonomy while being a strong team player are essential qualities. The candidate should be enthusiastic, self-starting, and thrive in changing, agile environments.,

Join us as a Data Scientist and embark on an exciting journey of discovery, insights, and innovation in the data science space. You will work at the intersection of analytics and engineering to uncover valuable insights hidden within our data. With an abundance of data at your fingertips and cutting-edge capabilities to test and learn, you can expect to develop your technical expertise and make a meaningful impact through your work. If you have the desire and tenacity to embark on a steep learning curve in this exciting and rapidly evolving field, apply now. This role is offered at the associate vice president level. As a Data Scientist, you will combine human insight and perspective with modern data science tools to gain an unparalleled understanding of our customers, enabling more powerful predictive targeting and modeling. You will work closely with stakeholders to understand their needs, define pain points, and identify opportunities to solve them through advanced analytics. Your responsibilities will include developing hypotheses, articulating data collection needs, determining analyses to run, and selecting approaches that deliver the most value. You will utilize predictive analytics and artificial intelligence (AI) to extract insights from big data, including machine learning (ML) models, natural language processing (NLP), and deep learning (DL). Additionally, you will build, train, and monitor ML models, as well as write programs that automate data collection, processing, model building, and deployment. Your role will involve bringing solutions and opportunities to life by clearly conveying results" meaning through impactful data visualization and storytelling. You will provide actionable insights to decision-makers and stakeholders at every level of technical understanding. To excel in this role, you should have a minimum of eight years of experience, an aptitude for advanced mathematics and statistics, and curiosity about the evolving role of data in shaping the next generation of financial services. You will demonstrate proficiency in Python, Pyspark, or SQL programming skills, as well as experience with AWS, Azure, or Google Cloud. Knowledge of statistical modeling and ML techniques, along with proficiency in data visualization, is essential. If you do not have a university degree, but believe you are the best fit for this position and can showcase your abilities in your application, we encourage you to apply.,

You will be responsible for contributing to the reliability, scientific quality, and optimization of project support throughout the entire process from target identification to process development. This will involve performing statistical analyses of data generated in the laboratories using R and potentially other programming languages to generate statistical reports. Additionally, you will play a key role in the development and maintenance of statistical end-user tools. Your expertise will be utilized in representing statistics within various scientific or technology working groups and cross-functional initiatives. To excel in this role, you should possess a strong background in non-clinical statistics as applied to biopharmaceutical development. Your proven experience in industrial statistics, including descriptive and inferential statistics, statistical process control, design of experiments, multivariate data analysis (such as PCA, PLS, and related methods), and statistical modeling and simulation will be crucial. A sound understanding of statistical concepts and techniques, such as predictive modeling and repeated measure ANOVA, is essential. Additionally, familiarity with pharmaceutical research and development, particularly in in-vitro testing, is desirable. Knowledge of CMC regulatory guidelines from organizations such as EMA, FDA, and ICH Quality, as well as QbD principles, will be valuable in this role. Your ability to prepare statistical analyses for regulatory dossiers and ensure compliance with relevant guidelines will be pivotal to the success of the projects you are involved in.,

At PwC, our focus in data and analytics is on leveraging data to drive insights and make informed business decisions. We utilize advanced analytics techniques to assist clients in optimizing their operations and achieving strategic goals. In the realm of data analysis at PwC, you will primarily be tasked with utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Your role will involve leveraging skills in data manipulation, visualization, and statistical modeling to support clients in resolving complex business problems. In this position, you will be expected to build meaningful client connections and learn how to effectively manage and inspire others. By navigating increasingly complex situations, you will have the opportunity to grow your personal brand, deepen technical expertise, and enhance awareness of your strengths. Anticipating the needs of both your teams and clients and delivering quality results will be a key aspect of your responsibilities. Embracing ambiguity will be essential, as you will need to be comfortable when the path forward is unclear, ask pertinent questions, and view these moments as opportunities for personal growth. Examples of the skills, knowledge, and experiences required to lead and deliver value at this level include but are not limited to: - Responding effectively to diverse perspectives, needs, and feelings of others. - Using a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. - Employing critical thinking to break down complex concepts. - Understanding the broader objectives of your project or role and how your work aligns with the overall strategy. - Developing a deeper understanding of the business context and its evolving nature. - Using reflection to enhance self-awareness, strengthen strengths, and address development areas. - Interpreting data to derive insights and make recommendations. - Upholding and reinforcing professional and technical standards, such as specific PwC tax and audit guidance, the Firm's code of conduct, and independence requirements. As a Senior Associate, you will work as part of a team of problem solvers, contributing to the resolution of complex business issues from strategy to execution. Responsibilities at this management level include but are not limited to: - Developing self-awareness and personal strengths through feedback and reflection. - Delegating tasks to others to provide growth opportunities and coaching for delivering results. - Demonstrating critical thinking and the ability to organize unstructured problems. - Utilizing a wide range of tools and techniques to extract insights from current industry or sector trends. - Reviewing your work and that of others for quality, accuracy, and relevance. - Knowing how and when to use appropriate tools for a given situation and being able to explain the rationale behind the choice. - Seeking and embracing opportunities for exposure to different situations, environments, and perspectives. - Communicating straightforwardly and in a structured manner when influencing and connecting with others. - Adapting behavior to build quality relationships by reading situations and modifying approach accordingly. - Adhering to the firm's code of ethics and business conduct. In addition to the core responsibilities, a career in Treasury Risk Analytics within Risk & Regulatory Advisory will involve advising financial institutions on strategies to optimize financial performance and risk management across various financial risks. This includes designing and implementing strategies to address market challenges like low interest rates, LIBOR transition programs, competition from non-banks, and cost pressures.,

At PwC, our data and analytics team focuses on utilizing data to drive insights and support informed business decisions. We leverage advanced analytics techniques to assist clients in optimizing their operations and achieving strategic goals. As a data analysis professional at PwC, your role will involve utilizing advanced analytical methods to extract insights from large datasets, enabling data-driven decision-making. Your expertise in data manipulation, visualization, and statistical modeling will be pivotal in helping clients solve complex business challenges. PwC US - Acceleration Center is currently seeking a highly skilled MLOps/LLMOps Engineer to play a critical role in deploying, scaling, and maintaining Generative AI models. This position requires close collaboration with data scientists, ML/GenAI engineers, and DevOps teams to ensure the seamless integration and operation of GenAI models within production environments at PwC and for our clients. The ideal candidate will possess a strong background in MLOps practices and a keen interest in Generative AI technologies. With a preference for candidates with 4+ years of hands-on experience, core qualifications for this role include: - 3+ years of experience developing and deploying AI models in production environments, alongside 1 year of working on proofs of concept and prototypes. - Proficiency in software development, including building and maintaining scalable, distributed systems. - Strong programming skills in languages such as Python and familiarity with ML frameworks like TensorFlow and PyTorch. - Knowledge of containerization and orchestration tools like Docker and Kubernetes. - Understanding of cloud platforms such as AWS, GCP, and Azure, including their ML/AI service offerings. - Experience with continuous integration and delivery tools like Jenkins, GitLab CI/CD, or CircleCI. - Familiarity with infrastructure as code tools like Terraform or CloudFormation. Key Responsibilities: - Develop and implement MLOps strategies tailored for Generative AI models to ensure robustness, scalability, and reliability. - Design and manage CI/CD pipelines specialized for ML workflows, including deploying generative models like GANs, VAEs, and Transformers. - Monitor and optimize AI model performance in production, utilizing tools for continuous validation, retraining, and A/B testing. - Collaborate with data scientists and ML researchers to translate model requirements into scalable operational frameworks. - Implement best practices for version control, containerization, and orchestration using industry-standard tools. - Ensure compliance with data privacy regulations and company policies during model deployment. - Troubleshoot and resolve issues related to ML model serving, data anomalies, and infrastructure performance. - Stay updated with the latest MLOps and Generative AI developments to enhance AI capabilities. Project Delivery: - Design and implement scalable deployment pipelines for ML/GenAI models to transition them from development to production environments. - Oversee the setup of cloud infrastructure and automated data ingestion pipelines to meet GenAI workload requirements. - Create detailed documentation for deployment pipelines, monitoring setups, and operational procedures. Client Engagement: - Collaborate with clients to understand their business needs and design ML/LLMOps solutions. - Present technical approaches and results to technical and non-technical stakeholders. - Conduct training sessions and workshops for client teams. - Create comprehensive documentation and user guides for clients. Innovation And Knowledge Sharing: - Stay updated with the latest trends in MLOps/LLMOps and Generative AI. - Develop internal tools and frameworks to accelerate model development and deployment. - Mentor junior team members and contribute to technical publications. Professional And Educational Background: - Any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA,

At PwC, the focus of people in risk and compliance is on maintaining regulatory compliance and managing risks for clients, providing advice and solutions. They assist organizations in navigating complex regulatory landscapes and enhancing internal controls to effectively mitigate risks. In actuarial services at PwC, your responsibility will be analyzing and managing financial risks for clients through statistical modeling and data analysis. Your work will aim to generate valuable insights and recommendations to assist businesses in making informed decisions and mitigating potential risks. You will be building meaningful client connections and learning how to manage and inspire others, all while navigating increasingly complex situations. As you grow your personal brand and deepen your technical expertise and awareness of your strengths, you are expected to anticipate the needs of your teams and clients and deliver quality. Embracing increased ambiguity, you should be comfortable when the path forward isn't clear, ask questions, and utilize these moments as opportunities for growth. Examples of the skills, knowledge, and experiences required to lead and deliver value at this level include but are not limited to: - Responding effectively to diverse perspectives, needs, and feelings of others. - Using a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. - Applying critical thinking to break down complex concepts. - Understanding the broader objectives of your project or role and how your work aligns with the overall strategy. - Developing a deeper understanding of the business context and its changing dynamics. - Using reflection to enhance self-awareness, strengthen strengths, and address development areas. - Interpreting data to derive insights and recommendations. - Upholding and reinforcing professional and technical standards, the Firm's code of conduct, and independence requirements. As part of the Risk and Compliance team at PwC Acceleration Centers (ACs), you will be actively supporting various services, from Advisory to Assurance, Tax, and Business Services. Engaging in challenging projects and providing distinctive services to support client engagements through enhanced quality and innovation will be a key responsibility. You will also participate in dynamic and digitally enabled training designed to enhance your technical and professional skills. Supporting life, annuity, and health clients in various ways, including audits, consulting projects, and merger and acquisition activities, you will analyze complex problems, mentor others, maintain standards, build client relationships, and deepen your understanding of the business context. Responsibilities: - Supporting life, annuity, and health clients in various projects. - Conducting audits and consulting on merger and acquisition activities. - Analyzing complex problems to deliver impactful solutions. - Mentoring team members to maintain exemplary standards. - Building enduring client relationships and understanding their needs. - Collaborating across multiple work streams to achieve project goals. - Enhancing technical skills and knowledge within the team. - Contributing to the development of technical acumen. Requirements: - Bachelor's Degree. - 3 years of experience. - Oral and written proficiency in English required. What Sets You Apart: - Proficiency in actuarial methods and principles. - Proficiency in Microsoft Office, especially Excel. - Knowledge of Data Analytics: Python, SQL. - Experience with Visualization Tools: Tableau, PowerBI, QuickSight. - Strong written and verbal communication skills. - Commitment to continuous training and learning. - Team player with quality standards. - Self-motivated with a focus on personal growth.,

At PwC, our focus in risk and compliance is on maintaining regulatory compliance and managing risks for our clients, providing valuable advice and solutions. We assist organizations in navigating complex regulatory landscapes and enhancing their internal controls to effectively mitigate risks. In the actuarial services department at PwC, your role will involve analyzing and managing financial risks for clients through statistical modeling and data analysis. Your work will generate insights and recommendations that will aid businesses in making informed decisions and mitigating potential risks. Your primary focus will be on building meaningful client connections and learning how to effectively manage and inspire others. As you navigate increasingly complex situations, you will be enhancing your personal brand, deepening your technical expertise, and becoming more aware of your strengths. It is essential to anticipate the needs of your teams and clients, deliver quality work, and embrace ambiguity by asking questions and using such moments as opportunities for growth. To excel in this role, you will need to possess a variety of skills, knowledge, and experiences. These include the ability to respond effectively to diverse perspectives, utilize various tools and methodologies to generate new ideas, employ critical thinking to tackle complex concepts, understand the broader objectives of your projects, and develop a deeper understanding of the evolving business context. Additionally, you must be adept at interpreting data to derive insights, upholding professional and technical standards, and reinforcing the firm's code of conduct and independence requirements. As part of the Risk and Compliance - Actuarial Services team, you will be supporting large P&C clients and cross-industry clients on various projects, such as audits, consulting, and mergers and acquisitions. In your role as a Senior Associate, you will analyze complex problems, mentor junior team members, maintain high standards, build enduring client relationships, and navigate ambiguity with professional judgment. You will have the opportunity to specialize in actuarial and insurance services, contributing to the development of technical acumen and engaging in client discussions to address their specific needs. Your responsibilities will include collaborating with clients to understand and address their actuarial needs, analyzing intricate actuarial data to provide insights and solutions, mentoring junior team members, maintaining exemplary service delivery standards, building enduring client relationships, navigating complex situations with professional judgment, contributing to the development of actuarial methodologies, and engaging in discussions to tailor services to client requirements. To qualify for this role, you must have a Bachelor's Degree, at least 3 years of relevant experience, and proficiency in oral and written English. Additionally, supporting audits of major global insurers, performing consulting projects in financial and capital reporting, analyzing merger and acquisition activities, designing and valuing warranty programs, collaborating across multiple work streams, building positive relationships with team members, staying informed about business and economic issues, developing technical acumen, leading team dynamics, and providing feedback will set you apart in this position.,

As a Senior Associate in the Deals Strategy Acceleration Center at PwC, you will play a crucial role in leveraging data and analytics to drive insights and support clients in making informed business decisions. Your focus will be on utilizing advanced analytical techniques to extract valuable insights from large datasets, enabling data-driven decision-making. By applying skills in data manipulation, visualization, and statistical modeling, you will help clients optimize their operations and achieve strategic goals. In this role, you will be tasked with building meaningful client relationships, managing and inspiring others, and navigating complex situations to grow both personally and professionally. You are expected to anticipate the needs of your teams and clients, deliver quality work, and embrace ambiguity by seeking opportunities for growth in unclear situations. Your responsibilities will include creating and reviewing delivery modules, participating in onboarding and training programs, driving day-to-day deliverables by assisting in work-planning and problem-solving, contributing to the development of technical and business acumen within your team, and engaging closely with US DS teams to support client engagements. Additionally, you will demonstrate critical thinking, delegate tasks to provide growth opportunities, and uphold the firm's code of ethics and business conduct. Desired experience and skills for this role include 4 to 7 years of industry experience with a focus on service delivery, proficiency in data visualization tools such as Tableau/Power BI and Excel/Google Charts, the ability to work on multiple projects under strict timelines both independently and in a team environment, and experience in conducting primary and secondary research, analysis of complex data, and creating client-ready deliverables. Soft skills such as effective communication, strong work ethic, strategic thinking, and problem-solving abilities are highly valued. A strong educational background, preferably an MBA from premier B-Schools, along with analytical ability and leadership skills, is desired for this position. In addition to the specific responsibilities and skills required, you will be expected to contribute to practice enablement and business development activities. This full-time role may involve varying work hours for specific projects, and while travel requirements are not applicable, prior experience in consulting or exposure to a multinational environment is preferred.,

At PwC, as a member of the data and analytics team, your primary focus will be on harnessing data to uncover insights and drive strategic decision-making for clients. Through the use of advanced analytics techniques, you will assist clients in optimizing their operations and achieving their business objectives. In this role, you will be responsible for utilizing your expertise in data manipulation, visualization, and statistical modeling to tackle complex business challenges through data analysis. PwC US - Acceleration Center is currently looking for a skilled GenAI Data Scientist to join our team at the Senior Associate level. As a GenAI Data Scientist, you will be instrumental in the development and implementation of machine learning models and algorithms for our GenAI projects. The ideal candidate should possess a strong background in data science, particularly focusing on GenAI technologies, and demonstrate proficiency in statistical analysis, machine learning, data visualization, and application programming. With a minimum of 4 years of hands-on experience, the successful candidate will have the following responsibilities: - Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. - Develop and implement machine learning models and algorithms for GenAI projects. - Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. - Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. - Validate and evaluate model performance using appropriate metrics and techniques. - Develop and deploy production-ready machine learning applications and solutions. - Utilize object-oriented programming skills to build robust and scalable software components. - Implement Kubernetes for container orchestration and deployment. - Design and build chatbots using GenAI technologies. - Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. - Keep abreast of the latest advancements in GenAI technologies and propose innovative solutions to enhance data science processes. Requirements for this role include: - 3-5 years of relevant technical/technology experience, with a specific focus on GenAI projects. - Proficiency in programming languages such as Python, R, or Scala. - Strong familiarity with machine learning libraries and frameworks like TensorFlow, PyTorch, or scikit-learn. - Experience in data preprocessing, feature engineering, and data wrangling techniques. - Solid grasp of statistical analysis, hypothesis testing, and experimental design. - Knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud. - Proficiency in data visualization tools and techniques. - Excellent problem-solving and analytical skills. - Strong communication and collaboration abilities. - Capability to thrive in a fast-paced and dynamic work environment. Preferred qualifications include: - Experience with object-oriented programming languages such as Java, C++, or C#. - Experience in developing and deploying machine learning applications in production environments. - Understanding of data privacy and compliance regulations. - Relevant certifications in data science or GenAI technologies. Nice to have skills: - Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. - Familiarity with LLM-backed agent frameworks like Autogen, Langchain, Semantic Kernel, etc. - Proficiency in chatbot design and development. Professional and educational background: - Any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA.,

At PwC, our data and analytics professionals focus on leveraging data to drive insights and make informed business decisions. Utilizing advanced analytics techniques, you will help clients optimize their operations and achieve strategic goals. As a part of the data analysis team, your primary focus will be on extracting insights from large datasets and enabling data-driven decision-making. Your expertise in data manipulation, visualization, and statistical modeling will support clients in solving complex business problems. Building meaningful client relationships and learning to manage and inspire others are key aspects of your role. As you navigate complex situations, you will enhance your personal brand, deepen technical expertise, and become more self-aware of your strengths. Anticipating the needs of both your teams and clients, you are committed to delivering high-quality results. Embracing ambiguity, you are comfortable in unclear situations, asking questions, and using challenges as opportunities for growth. In this role, you will need to effectively respond to diverse perspectives, employ a variety of tools to generate new ideas, and employ critical thinking to tackle complex concepts. Understanding the broader project objectives and aligning your work with the overall strategy is crucial. Developing a deep understanding of the business context and being adaptable to changes are essential skills. You will interpret data to derive insights and recommendations while upholding professional and technical standards. As a Senior Associate in the Treasury Risk Analytics practice at PwC, you will work with a team of problem solvers to address complex business issues from strategy to execution. Using feedback and reflection, you will continually develop self-awareness and address development areas. Delegating tasks to provide growth opportunities for others and demonstrating critical thinking are key responsibilities. You will extract insights from industry trends, review work for quality and accuracy, and utilize communication skills to influence and connect with others effectively. A career in Treasury Risk Analytics will involve advising financial institutions on optimizing financial performance and managing various financial risks. Designing strategies to address market challenges and staying informed about regulatory environments will be part of your role. Preferred qualifications include a Master's Degree in fields like Business Administration, Economics, Finance, Mathematics, or Statistics. Demonstrating leadership in financial services products, quantitative models, and business process design will be advantageous. Your ability to address client needs, manage resources, and communicate effectively will contribute to your success in this role.,

At PwC, our team members in risk and compliance are dedicated to maintaining regulatory compliance and managing risks for our clients. We provide expert advice and solutions to help organizations navigate complex regulatory environments and strengthen their internal controls to effectively mitigate risks. As part of the actuarial services team at PwC, your role will involve analyzing and managing financial risks for clients using statistical modeling and data analysis techniques. Your work will yield valuable insights and recommendations that empower businesses to make well-informed decisions and proactively address potential risks. In this role, you will focus on building meaningful client relationships and honing your leadership skills. You will navigate through intricate situations, enhancing your personal brand, technical expertise, and self-awareness. Anticipating the needs of your teams and clients, you will consistently deliver high-quality results. Embracing ambiguity, you will approach unclear situations with curiosity, seeking opportunities for growth and development. To excel in this position, you will need to demonstrate proficiency in a variety of skills, knowledge, and experiences, including but not limited to: - Responding effectively to diverse perspectives and needs - Utilizing a wide range of tools and methodologies to generate innovative ideas and solve complex problems - Applying critical thinking to deconstruct intricate concepts - Understanding the overarching objectives of your projects and how your contributions align with the overall strategy - Developing a deep understanding of the evolving business landscape - Leveraging data to derive meaningful insights and recommendations - Upholding professional and technical standards in alignment with specific PwC guidelines and ethical requirements As a Senior Associate at the PwC Acceleration Centers, you will play a crucial role in supporting various services, from Advisory to Assurance, Tax, and Business Services. Engaging in challenging projects and providing distinctive services, you will contribute to client engagements by enhancing quality and fostering innovation. Your participation in dynamic and digitally enabled training programs will further enhance your technical and professional skills. Within the Risk and Compliance team, you will assist life, annuity, and health clients through audits, consulting projects, and merger and acquisition initiatives. Analyzing complex issues, mentoring team members, and fostering client relationships will be key aspects of your role. Key Responsibilities: - Supporting life, annuity, and health clients in diverse projects - Conducting audits and providing consulting services for merger and acquisition activities - Analyzing complex problems to deliver impactful solutions - Mentoring team members to uphold exemplary standards - Building lasting client relationships and understanding their unique requirements - Collaborating across multiple work streams to achieve project objectives - Enhancing technical skills and knowledge within the team - Contributing to the development of technical expertise among team members Requirements: - Bachelor's Degree - Minimum of 3 years of relevant experience - Proficiency in both oral and written English Desired Qualifications: - Proficiency in actuarial methods and principles - Strong proficiency in Microsoft Office tools, particularly Excel - Knowledge of Data Analytics tools such as Python, SQL - Experience with Visualization Tools like Tableau, PowerBI, QuickSight - Excellent written and verbal communication skills - Dedication to continuous training and learning - Team player with a commitment to quality standards - Self-motivated individual with a focus on personal growth Join us at PwC and embark on an exciting journey where you can contribute to impactful projects, develop essential skills, and build lasting relationships with clients and colleagues.,

As a Data Scientist specializing in Generative AI & ML Engineering, your primary responsibility will be to research and develop AI algorithms and models. You will be tasked with analyzing data, constructing predictive models, and employing machine learning techniques to address intricate problems. Your proficiency should encompass a range of skills including proficiency in languages/frameworks such as Fast API and Azure UI Search API (React), as well as expertise in databases and ETL tools like Cosmos DB and Data Factory Data Bricks. In addition, you should have a strong command of Python and R, familiarity with Azure Cloud Basics and Gitlab Pipeline, and experience in deploying AI solutions end-to-end. In addition to your proficient skills, you are expected to possess expert-level knowledge in areas such as Azure Open AI, Open AI GPT Family of models, and Azure Storage Account. Your expertise should extend to machine learning algorithms, deep learning frameworks like TensorFlow and PyTorch, and a solid foundation in mathematics including linear algebra, calculus, probability, and statistics. Furthermore, your role will require proficiency in data analysis tools such as Pandas, NumPy, and SQL, as well as strong statistical and probabilistic modeling skills. Experience with data visualization tools like Matplotlib, Seaborn, and Tableau, along with knowledge of big data technologies like Spark and Hive, will be essential for success in this position. Overall, your experience in AI-driven analytics and decision-making systems, coupled with your ability to develop and deploy AI frameworks and models, will be critical in delivering effective solutions to complex challenges.,

As an Assistant Manager, Credit Risk Modeler at Genpact, you will play a crucial role in overseeing the development, enhancement, and validation of credit risk models. Your responsibilities will include ensuring compliance with regulatory standards, driving innovation in risk management practices, and providing analytical support for recommending actions to mitigate risk. You will be working as a consultant for the centralized advanced analytics team of a banking or financial firm, interacting with various business units including risk, finance, and controllership stakeholders. Your role will involve designing, developing, and validating predictive models, conducting rigorous testing and validation methodologies, and assessing data quality for model development. To excel in this role, you must have experience in developing and validating credit risk models, knowledge of statistical techniques, and familiarity with regulatory and non-regulatory credit risk modeling. You should be proficient in end-to-end development or independent validation of credit risk and regulatory models, including PD, LGD, EAD, Stress Testing, CECL, Credit Scorecards, AML, and counter-fraud models. Additionally, you are expected to have hands-on expertise in SQL, ETL, SAS, Python, and R for working with large datasets. A master's degree in a quantitative discipline such as Statistics, Economics, Finance, or Data Science is required. Strong client management, communication, presentation, and project management skills are essential for this role. Preferred qualifications include strong networking, negotiation, and influencing skills, as well as understanding and experience with regulatory risk model development/validation guidelines such as SR 11-7, Basel IRB, CCAR, CECL, and IFRS9. Hands-on experience in machine learning modeling techniques would be an added advantage. If you are a self-driven individual with a proactive attitude, strong project management experience, and the ability to work effectively under ambiguity and minimal supervision, we invite you to apply for the role of Assistant Manager, Credit Risk Modeler at Genpact.,

Agoda is an online travel booking platform that offers a wide range of accommodations, flights, and more. With a global network of 4.7M hotels and holiday properties, as well as flights and activities, we aim to connect travelers worldwide. As part of Booking Holdings and based in Asia, our diverse team of 7,100+ employees from 95+ nationalities across 27 markets works collaboratively in an environment rich in creativity and diversity. Our purpose at Agoda is to bridge the world through travel. We believe that travel enhances people's lives by allowing them to enjoy, learn, and experience the world, bringing individuals and cultures closer together, fostering empathy, understanding, and happiness. As a Senior Manager, Analytics & Insights at Agoda, you will lead strategic and operational initiatives within the Supply department to drive growth and efficiency. Working closely with various stakeholders, including executive leadership and cross-functional teams, you will be responsible for exploring new business opportunities, analyzing scaling challenges, and improving existing operations. Key Responsibilities: - General: This role involves a combination of hands-on business work and executive-level contributions. You will lead a team, contribute to strategy, and drive results. - Project Delivery: Manage and standardize business cases for product development, resource allocation, budgeting, and strategic prioritization. - Experimentation: Define success metrics, validate experiments, and promote an experimental mindset within the teams. - Forecasting and Insights: Provide a macro-level business intelligence view to identify opportunities, overcome obstacles, and drive commercial behaviors. - Analytics & Alerts: Conduct quantitative analysis, data mining, and present business metrics to drive decision-making. - Process Improvement: Collaborate with teams to enhance efficiencies, optimize processes, and prioritize system enhancements. - Reporting: Develop dashboards, reports, and present key datasets for performance monitoring and prioritization. - Leadership: Lead a team of experts, mentor team members, and drive cross-functional collaboration. Requirements for Success: - 6+ years of leadership experience in analytics, data science, insights, or strategy. - Strong expertise in data analysis and visualization tools such as Excel, SQL, Tableau, Python, R, etc. - Experience in statistical modeling, machine learning, and deriving business insights. - Excellent communication skills and ability to engage with stakeholders at all levels. - Strong project management experience and ability to drive results independently. - Bachelor's degree in a quantitative or business-related field. - Experience in strategic issue articulation and negotiation with C-level executives. - People management skills with a track record of developing team members. Preferred Qualifications: - Master's degree in statistics, economics, or a related discipline. - Experience in A/B testing experimentation. - Background in travel industry, e-commerce, tech, or consulting. Agoda is an Equal Opportunity Employer. We keep applications on file for future vacancies and adhere to our privacy policy. Note that Agoda does not accept third-party resumes and is not responsible for any fees related to unsolicited resumes.,

About Agoda: Agoda is an online travel booking platform connecting travelers with a global network of 4.7M hotels, holiday properties, flights, activities, and more. With 7,100+ employees from 95+ nationalities in 27 markets, we foster a diverse, creative, and collaborative work environment. By innovating through experimentation and ownership, we enhance the travel experiences of our customers. Purpose: Our purpose is to bridge the world through travel, allowing people to enjoy, learn, and experience the amazing world we live in. Travel brings individuals and cultures closer together, fostering empathy, understanding, and happiness. Team Overview: As part of the Supply Analytics team, your role involves identifying new partners and opportunities, cultivating relationships, and collaborating to deliver optimal outcomes for our customers. You will manage day-to-day interactions with partners, working closely with various teams within Agoda to meet partner needs. Responsibilities: You will translate internal briefs into analytical projects, analyze data from multiple large-scale warehouses, identify growth opportunities, drive analytical initiatives, and automate manual processes. Your role will involve presenting statistically strong analysis, working with partners on the ground, and collaborating with cross-functional teams. Requirements: - 3-5+ years of experience as an Analyst in analytics/data science/insights/strategy/BI - Proficiency in SQL, data visualization tools like Tableau, Excel, Python (or R) - Bachelor's degree in a business or quantitative subject - Statistical modeling knowledge or machine learning techniques - A proven track record in stakeholder management and presenting to senior leadership - Experience in A/B testing, deriving data insights, and providing business recommendations - Ability to build innovative solutions within resource constraints and fast-paced environments - Excellent communication skills and data-driven decision-making approach - Comfort in ambiguity and multitasking Preferred Qualifications: - MBA or Masters in a quantitative subject - Program management certifications - Experience in Asian markets, travel industry, e-commerce, tech, or consulting Equal Opportunity Employer: Agoda is committed to equal opportunities and does not accept third-party resumes. Your application will be kept for future vacancies, and you can request removal at any time. For more information, refer to our privacy policy.,

Exp in SAS, SQL and large amounts of data US Stakeholder exp Exp of acquisition/account management credit risk models, transactional fraud models, marketing models, collections models, finance models, loss models, Loss forecasting (PD/LGD/EAD/CECL) Required Candidate profile SAS SQL Python Credit risk Credit Card Statistical Modelling Predictive Modelling

As Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. Youll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, youll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, youll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience in the integration efforts between Alation and Manta, ensuring seamless data flow and compatibility. Collaborate with cross-functional teams to gather requirements and design solutions that leverage both Alation and Manta platforms effectively.. Develop and maintain data governance processes and standards within Alation, leveraging Manta's data lineage capabilities.. Analyze data lineage and metadata to provide insights into data quality, compliance, and usage patterns Preferred technical and professional experience Lead the evaluation and implementation of new features and updates for both Alation and Manta platforms Ensuring alignment with organizational goals and objectives. Drive continuous improvement initiatives to enhance the efficiency and effectiveness of data management processes, leveraging Alati

We seek a Digital Marketing Specialist, Mid Level with Marketing Media Mix who shares our passion for innovation and change. This role is critical to helping our business partners evolve and adapt to consumers' personalized expectations in this new technological era. Roles and Responsibilities: Delivery of MMM/ROI projects: Delivery of multiple High Impact ROI projects as described below: Data preparation, harmonization and transformation for model feed Thorough understanding of different types of Media, sales and equity datatypes Media ROI modelling with granular insights at Campaign level, Objectives, Formats and Ad types Promo ROI modelling at granular and retailer level with deep dive into various promotion techniques Sales and Equity ROI modelling at channel, format level with deep dive into marketing drivers. Ecomm. ROI projects with deep dive into retail media, influencer spends and online promotions along with other driver Develop and implement advanced market mix models to quantify the ROI of marketing activities across various product categories and channels. Interpret and analyse model outputs, identifying key trends and actionable insights for marketing optimization. Foster a collaborative and results-oriented team environment Technical Skills and Project experience requirements: Should have executed ROI / MMM projects in past. Understanding of statistical modelling techniques, including ensemble modelling, Bayesian HLM analysis and multivariate analysis. Understanding impact of product propositions and marketing drivers on brand equity metrics and deriving incremental lift from the drivers to uplift the brand sales. Understanding of data types used in MMM including sales, equity, macro-economic data Experience with data transformation techniques including nonlinear transformation, ad stock transformation of variables used in the modelling. . Experience in Ecomm. Modelling with deep dive on retail media, influencer and online promotions. Education: Bachelor s degree in engineering/Statistics or Specialization in Business analytics Prior work ex- Minimum 1 years of relevant experience This job can be filled in Bangalore/Pune #LI-Hybrid

Skills Required : SQL, Python, Excel, Analytical problem solving Desirable Skills : Statistical modelling.

Job Title: Data Scientist(5 Positions)/ Lead OR Manager -Data Scientist (3 positions) Experience: Data scientist (8-10 years) / Lead Data scientist(14+ years) Job Location: Whitefield, Bangalore Mode of working: Hybrid Interview Process: First Round: L1-Internal interview Second Round: Assessment shared by us needs to be completed in 48 hours Third Round: Client discussion over the submitted assessment. Final Round: HR Discussion Preferred Domain: Healthcare Insurance/ Insurance agencies / Health Insurance / Any Insurance We are looking for a talented Data Scientist to join our growing team. In this role, you will lead efforts to develop, enhance, and optimize advanced AI and machine learning models with a particular focus on Generative AI, Large Language Models (LLMs), Langchain, and Prompt Engineering. You will oversee the application of statistical modeling techniques to derive insights, build models, and lead research initiatives that push the boundaries of AI technologies. Key Responsibilities: Leadership & Collaboration: Lead a team of data scientists, researchers, and engineers working on high-impact projects related to generative models, NLP, and statistical modeling. Collaborate with cross-functional teams, including engineering, product management, and research, to deliver AI-powered products and solutions. Generative AI Development: Spearhead the development and deployment of Generative AI models and algorithms to address complex problems in areas like content generation, conversational AI, and creative automation. LLM Implementation & Optimization: Develop, fine-tune, and optimize large language models (LLMs) for diverse applications, ensuring they are robust, scalable, and accurate in real-world scenarios. Langchain Integration: Design and integrate Langchain for managing and deploying sophisticated language models with a focus on complex workflows, multi-agent systems, and real-time applications. Prompt Engineering: Lead prompt engineering efforts to optimize AI models' output quality, improve interactions, and enable more effective natural language understanding across a variety of use cases. Statistical Modeling: Utilize advanced statistical techniques to analyze and interpret data, build predictive models, and solve business-critical challenges through data-driven insights. Research & Innovation: Stay ahead of trends in AI and ML, particularly in the fields of NLP, LLMs, and generative models. Drive innovation by exploring cutting-edge techniques and methodologies in the AI space . Mentorship & Knowledge Sharing: Mentor junior team members and promote a collaborative, learning-oriented environment. Share knowledge and foster an atmosphere of continuous improvement within the data science team. Performance Optimization: Ensure model performance meets or exceeds company and client expectations by identifying areas of improvement, testing new methods, and scaling the systems accordingly. Ethical AI Development: Advocate for and implement ethical considerations in the development and deployment of AI models, including fairness, transparency, and privacy. Qualifications: Required: Education: Ph.D. or Masters degree in Computer Science, Data Science, Mathematics, Statistics, or related field, or equivalent practical experience. Experience: 8+ years of experience in data science, with at least 2-3 years in a leadership role. Proven expertise in Generative AI, particularly in areas like content generation, deep learning, and language modeling. Strong background in Large Language Models (LLMs) such as GPT, T5, BERT, or similar architectures. Hands-on experience with Langchain for building NLP workflows, pipelines, and integrating external systems with LLMs. Hands-on experience of Prompt Engineering, including techniques to refine and optimize outputs for various NLP tasks. Expertise in statistical modeling and quantitative analysis, with the ability to apply techniques to solve real-world problems. Preferred: Experience working with transformer models and fine-tuning LLMs for specific tasks. Expertise in AI model evaluation and metrics (e.g., BLEU, ROUGE, perplexity). Background in developing AI-driven products from concept to deployment. Strong publication record in AI research, particularly in NLP and machine learning . Used cases( Any of them) Automated Underwriting. Customer experience enhancement. Fraud detection . Predictive analytics. Accelerated claims processing. Risk assessment and premium calculation . Customer profiling . c ustomer segmentation . Credit Risk Assessment . Personalised marketing . Anti-Money Laundering (AML) . Personalized patient care. Medical training and simulations. Medical Data Analysis. Please share your updated resume at renuka.rathi@puresoftware.com