1204 Probability Jobs - Page 40

Job Description: 1. Responsible for acquiring and developing new business from IT Infrastructure. 2. Business plan for increasing the probability of the division, through direct sales. 3. Experience in selling Enterprise Solution which includes (IT Product and Solution sales, Laptop, Desktop, Printers, Workstations, Data-center Solution, Storage, Server Sales, and Networking Solutions). 4. Ability to interact at CXO levels in an organization. 5. Building and maintaining a network of public and private customer contacts. 6. Close deals for the leads, responsible for payment collection. 7. Researching customer's profile for accurate positioning giving effective and Skillful Presentations. 8. Should have Sales experience of IT Infrastructure products into BFSI sector (Required) Job Types: Full-time, Permanent Pay: ₹1,000,000.00 - ₹1,200,000.00 per year Benefits: Paid time off Schedule: Day shift Fixed shift Supplemental Pay: Commission pay Performance bonus Quarterly bonus Yearly bonus Language: English (Required) Work Location: In person

Position: Sales Specialist Industry: IT Hardware / IT Infra Job Description: 1. Responsible for acquiring and developing new business from IT Infrastructure. 2. Business plan for increasing the probability of the division, through direct sales. 3. Experience in selling Enterprise Solution which includes (IT Product and Solution sales, Laptop, Desktop, Printers, Workstations, Data-center solution, Storage, Server Sales, and Networking Solutions). 4. Ability to interact at CXO levels in an organization. 5. Building and maintaining a network of public and private customer contacts. 6. Close deals for the leads, responsible for payment collection. 7. Researching customer's profile for accurate positioning giving effective and Skillful Presentations. Requirement: 1. Candidate must possess 2-6 yrs. of experience in selling IT Hardware / Software / Infra Products. 2. Having exposure in Enterprise sales. 3. Excellent verbal communication skills. 4. Should be result oriented and target driven. Job Types: Full-time, Permanent Pay: ₹800,000.00 - ₹1,200,000.00 per year Benefits: Paid time off Compensation Package: Commission pay Performance bonus Yearly bonus Schedule: Day shift Fixed shift Work Location: In person Speak with the employer +91 7021648273

We are seeking Mathematics PhD freelancer with a minimum of 1 year of experience to join us as freelancers and contribute to impactful AI training projects Key Responsibilities: Develop, review, and refine mathematical problems, solutions, and explanations for AI training Ensure accuracy, clarity, and logical consistency in mathematical data Evaluate and improve AI-generated mathematical content Debug and correct errors in AI-driven mathematical reasoning Collaborate with teams to enhance AI's understanding of mathematical concepts Required Qualifications: 1+ year of experience in Mathematics-related fields (Teaching, Research, Data Science, AI Training, etc) Strong problem-solving and analytical skills Proficiency in advanced mathematics (Algebra, Calculus, Probability, Statistics, etc ) is a plus Ability to critically analyze AI-generated outputs and provide constructive feedback Why Join Us? Flexible hours Remote opportunity Location - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, India

We are the computational advertising team in the Microsoft AI organization at Microsoft. We are looking for candidates with research and applied experience in machine learning related areas. Search advertising is a $100 billion market worldwide. Microsoft's Bing search engine supports over 30% of desktop search in the US, with similarly significant presence in many other countries. We are a team of applied scientists working on machine learning components in the whole sponsored search stack. Our team works on problems related to machine learning, deep learning, natural language processing, image understanding, optimization, information retrieval, among others. Our work entails building large-scale machine learning systems for user response modelling, ranking, and a number of other ML-driven business problems. The Applied Scientist II will design, implement, analyze, tune complex algorithms and ML systems and the supporting infrastructure for operating on large datasets. They will collaborate with top machine learning scientists and engineers in delivering direct business impact. We're looking for sound understanding and insight into productionizing machine learning models in large-scale systems, an ability to pick up new technical areas, as well as a commitment to developing, delivering, and supporting algorithms in production Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Design and develop large scale online and offline platform tools for Ads related products. Develop novel algorithms in the space of sponsored search to constantly improve the operational efficacy and monetization impact to stake holders . Architect new designs and develop features for cloud-based applications. Analyze Giga/Tera bytes of logs and create observation/opportunities and avenues of improvements in the system. Ideate on newer aspects of advertising avenues and augment the platform with richer products for the stake holders. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience. Solid understanding of probability, statistics, machine learning, data science, A/B testing & analysis of ML models, and optimizing models for accuracy. Experience with end-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications Experience with Hadoop, Spark, or other distributed computing systems for large-scale training & prediction with ML models. Experience implementing machine learning algorithms or research papers from scratch. Experience with TensorFlow/PyTorch and deep learning models. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. Show more Show less

Sony Research India is driving cutting-edge research and development in various locations around the globe, including laboratories in Japan, the United States, Europe, and Asia. We endeavor to create new technology, products, and services while sustaining Sony Group’s diverse businesses in electronics, entertainment, and financial fields. For our research Centre to blaze a trail in the latest technologies, we seek to foster the growth of a diverse pool of research and engineering talent and create a technology talent bank to drive research excellence worldwide. Sony Research India is offering outstanding career opportunities around frontline technologies such as AI and data analytics. Job Purpose: Internships at Sony Research India (SRI) are aimed at offering students with an opportunity to industry exposure and a production level project experience. The primary responsibility in this role will be to positively contribute to the growth and development of innovative technologies at SRI. During the internship, you will work closely with research scientists and other members in the team on various development and optimization tasks in speech, audio, textual, linguistic, and visual signal analysis. In addition, you’ll be expected to actively work on AI development activities daily, be it training, testing, fixing bugs or other routines for building a robust model. For this internship program, we are seeking a talented and motivated candidate who is pursuing or has completed MS/MSc/MTech/PhD level degree, to join us as soon as possible , for a duration of at least 6 months. For this internship program, we’re only going to consider candidates who have demonstrable skills and knowledge in Multimodal AI using speech, textual and vision modalities, with strong software development skills in PyTorch and Python. . Work Location: Remote. Duration of the internship: The paid internship will be for 6 months starting June second week of 2025. The working hours are from 9:00 to 18:00 (Monday to Friday) fulltime. Essential Education: Candidates pursuing or has completed MS/MSc/MTech/PhD level degree in Computer Science, Electronics Engineering, Data Science, Information Science, Artificial Intelligence, Computer Applications or other closely related technical discipline, will be considered for the internship program. Skills required: Strong knowledge and relevant programming experience with Python, PyTorch, and Scikit-Learn and other ML and DL libraries, mainly for Multimodal AI tasks. Demonstratable skills of successfully applying state-of-the-art machine learning and deep neural networks-based models to multimodal problems, employing combination of audio, textual and visual data. Detailed understanding of all main network architectures, deployment modes, data augmentation and preparation, and theoretical performance analysis of model architectures. Strong analytical and problem-solving skills with knowledge of algorithms, signal processing, mathematics for machine learning, probability, statistics and linear algebra. Excellent interpersonal skills with effective communication and presentation skills Good to have Skills: Demonstrate research capabilities through relevant publication record in leading journals and conferences. Impact driven mindset and ability to work and learn in a collaborative and diverse environment. Programming knowledge of using data structure and OOP concepts proficiently in Python, C and C++. Programming experience with Scikit-Image, OpenCV with Python and MATLAB would be desirable. Familiarity with Linux operating system. Participation in Kaggle and other open-source grand challenge competitions. Our Values: Dreams & Curiosity : Pioneer the future with dreams and curiosity. Diversity : Pursue the creation of the very best by harnessing diversity and varying viewpoints. Integrity & Sincerity : Earn the trust for Sony brand through ethical and responsible conduct. Sustainability : Fulfil our stakeholder responsibilities through disciplined business practices. Sony Research India is committed to equal opportunity in all its employment practices, policies and procedures and to ensuring that no worker or potential worker will receive less favourable treatment due to any characteristic protected under applicable local laws. Show more Show less

Are you passionate about exploring the frontiers of signal processing , system design , and simulator development ? Join our cutting-edge research team and contribute to development of advanced simulators in a collaborative and intellectually stimulating environment. 🌟 Position : Senior Project Scientist 🏢 Location : IIT Delhi, New Delhi 🕒 Type : Full-time 📅 Apply By : 15 Jun 25 📅 Start Date: ASAP What You’ll Do: Develop an advanced simulator using signal processing algorithms from research papers. Perform bench-marking tests to validate the performance of the developed simulator. What We’re Looking For: B.Tech with at least 03 years experience/ M.Tech in Electrical Engineering or equivalent specializations with in-depth knowledge of Signal Processing and Probability & Statistics, and experience in implementing DSP algorithms in software. Proficiency in tools like MATLAB, Python, and C/C++. An energetic and innovative individual who would like to learn along and make original contributions. Why Join Us? Work with a team of leading researchers and industry partners. Access to state-of-the-art labs and computational resources. Be part of something great. Apply today! Interested individuals to fill in their details in the below form: https://docs.google.com/forms/d/e/1FAIpQLSdvIaQJdYzCdwFXQ4Xg6RTLUyTsx0e2IfnO0J0_XzN_A5LV-g/viewform?usp=dialog Show more Show less

It's an exciting time to be in APZ - McCormick's growth region. Our business here is transforming in remarkable ways. From the rice and spice fields of India and South East Asia to Australia's herb farms, our mosaic of rich distinct cultures inspires the boldest of flavours. Our headquarters and TIC in Singapore, along with our new and transformed facilities in Thailand, India and Australia are powering our regional growth ambitions. Here you'll find a culture that celebrates the best of both; the energy of and pulse of a startup and the solid legacy of our McCormick brand. We're a region on the rise - bold, committed and hungry - so only changemakers need apply! Position Overview Reporting to the global or regional Supplier Quality leader, the Associate Supplier Quality Manager executes, implements, maintains and improves the Supplier Quality Program for their determined region and/or supply base through engagement, assessments, and food safety and quality systems leadership. For low to medium risk suppliers, this individual will collaborate with Procurement and the Global Supplier Quality CoE to ensure our suppliers and contract manufacturers meet the requirements and work globally where appropriate. Key Responsibilities Support of McCormick stakeholders in selection, development, and/or maintenance of Suppliers, Co-Mans, Licensees. Communicate quality and food safety risk to vendor/supplier/procurement and be the point person for your assigned suppliers. Participate in supplier onboarding, development, maintenance, improvement, and disqualification processes Lead an incident workstream, complaint investigation, claims. Analyze supplier data to develop actionable insights and communicate technical information to internal cross functional partners Assess and identify potential Quality and Regulatory risks within identified area and lead mitigation efforts. Understand internal and external Quality and Regulatory risks and failures in identified area of focus to identify opportunities for resolution. Communicate risks to appropriate stakeholders. Participate in risk prioritization countermeasures, based on risk tolerance, severity, and probability of occurrence. Reinforce Quality Culture and development by sharing industry trends, supplier best practices, and quality systems that have been observed and align with our functional competencies for growth. Required Qualifications Bachelor’s degree in relevant discipline OR Relevant McCormick experience in a technical field while in pursuit of a degree could also be considered. Certification or training focused on Quality and Food Safety for Supply Chain preferred: PCQI (or HACCP, based on region) Certification or training within the Quality field preferred. ASQ certification (CFSQA, CQE) or Six Sigma Green Belt for example Awareness of GFSI audit schemes. 6+ years Experience in one Quality focus areas (Customer, Operations, Regulatory, Supplier, Global CoE) or related function, including Supply Chain, Product Development preferred Experience in the Food/Flavor Industry preferred Decision Making: Make decisions for identified supplier base using the Quality and Regulatory Standards. Use the escalation process where the standard does not apply or exist using cross functional team and/or external input Financial Acumen: Understand and execute a standard approach of maintenance of key financial topics, including: Travel and expense, Waste, Scrap, IAR Quality, Food Safety and Regulatory Culture, Programs, Standards: Monitors and understands Quality and Regulatory best practices and developments. Supports internal, end-to-end Quality and Regulatory. Excellence within Supplier, Operations, Customer, and Regulatory areas. Continually uses Quality and Regulatory knowledge to improve competitive position. Is connected to industry boards and external industry networks to increase internal awareness of trends and best practices Our ambitions are bold. If you are a change-maker with a passion for flavour and an appetite for a good challenge, come have a seat at our table. Your application shall be treated in strict confidence. We are proud to be an equal opportunity employer. If you are a qualified applicant, you shall receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Show more Show less

Key Responsibilities: Design and implement machine learning systems for business use cases Conduct applied ML research Read and implement research papers, especially in generative AI Mentor junior and mid-level data scientists Write production-grade code using object-oriented programming principles in Python Required Skills and Qualifications: In-depth understanding of statistics and probability Advanced proficiency in Python and object-oriented programming Strong grasp of data structures and algorithms Expertise in ML and deep learning libraries such as Scikit-learn, Keras, TensorFlow, and PyTorch Deep understanding of supervised and unsupervised ML algorithms like Logistic/Linear Regression, Gradient Descent, Decision Trees, and SVM Knowledge of building LLM applications using frameworks like LangChain and LlamaIndex is a plus Experience with Transformer architectures and large language models is a plus Show more Show less

We are seeking a dynamic and experienced Director business Development (India) to lead and drive our sales initiatives across the country. The person should be result-oriented with deep passion for Luxury. The role involves building strong relationships with interior designers & architects focused on High end residential projects overseeing sales strategies, and converting leads into long-term partnerships along with high-end client profiles. The ideal candidate will have a proven track record in luxury interior design industry, high-end products, and experience in engaging with HNIs and UHNIs. Job Requirements and Skills: Job Skills The candidate should possess a strong network & relationship with Interior Designer doing high-end residential projects. Candidate should have extensive experience in engaging and working with IDA community/ Interior Designers doing High End residential projects. Experience in acquiring UHNI clients & generating sales in the Luxury, Art & Design Industry. An ability to develop new sales opportunities through networking, relationship building, and collaborations. Experience in planning & executing High-end events & Private Previews. Personal Attributes Excellent written & verbal communication, good personality, strong interpersonal skills and the ability to build relationships at all levels. Working well under pressure in fast paced & constantly changing environment. Self-motivated and able to work independently as well as part of a team. Mindset & approach to be solution-driven. Adaptability, enthusiasm, and a genuine passion for the brand. Track record of delivering targets under minimum supervision. Ability to perform critical analysis. Major responsibilities: Planning & execution to achieve Annual revenue target by generating enquiries & timely converting deals in order to achieve quarterly & yearly revenue target yet maintaining Brand positioning. Drive end-to-end sales & maintain funnel, including lead generation, client presentations and deal closures. Actively prospect & generate a viable pipeline of opportunities through multiple channels. Introduce, build and maintain strong long-lasting, mutually beneficial relationships with targeted interior designers, architects focused on High end residential projects. Extensively meeting pre-vetted end clients identified through internal screening to ensure a high probability of conversion. Engage Interior Designers & UHNI clients with in-person meetings, brand presentations & virtual tour/discussions for business development. Educate clients by providing comprehensive presentations tailored to client’s requirements in alignment with Brand’s ideology. Engage the potential clients by planning and executing exclusive events and experiences for clients, such as private previews, dinners, personalized tours. Strategize for acquisition of UHNI/ HNI clients and maintaining exceptional relationship with them by ensuring their satisfaction and fostering loyalty to the Brand. Collaborate with internal teams to tailor solutions that meet client requirements and contribute to the overall growth & development of the Brand. Travel extensively every month across India to meet potential and existing clients, IDA’s etc. Other duties and special projects as and when required and requested by the management as per the need of the organisation in alignment with the role. Education Bachelor's/ Master’s degree in Marketing & Communication/ Interior Design/ Luxury or related fields. Experience Minimum 8 – 10 Years Job Location Jaipur with frequent travel within India Show more Show less

Role Overview: We are looking for an exceptional instructor to build the foundational quantitative capabilities of our students. This role demands a deep and nuanced understanding of advanced mathematics, probability, statistics, and stochastic processes, and the ability to convey these complex concepts with clarity and precision. You will be instrumental in laying the analytical bedrock for all quantitative finance careers. Key Responsibilities: Deliver live, engaging online classes on advanced mathematical concepts, probability theory, statistical inference, and time series analysis. Explain complex topics such as linear algebra, multivariable calculus, optimization, numerical methods, Bayesian statistics, ARIMA/GARCH models, and stochastic calculus (e.g., Ito's Lemma, SDEs) with exemplary clarity. Guide students through rigorous problem-solving, derivations, and statistical analyses, ensuring a deep conceptual and practical understanding. Foster a highly disciplined and interactive learning environment, providing constructive feedback and expertly answering student queries. Core Curriculum Expertise Required: Core Mathematics: Linear algebra, multivariable calculus, real analysis, optimization theory, numerical methods, optimization algorithms. Probability & Statistical Inference: Probability theory, statistical inference, hypothesis testing, Bayesian statistics. Time Series Analysis: ARIMA models, GARCH models, cointegration, Vector Autoregression (VAR). Advanced Statistical Techniques: Regression analysis, principal component analysis, Monte Carlo methods, extreme value theory, copulas, survival analysis. Stochastic Calculus: Ito's lemma, Brownian motion, stochastic differential equations, partial differential equations, measure theory, martingale theory. Data Experimentation & Signal Processing: Causal inference, A/B testing, experimental design, signal detection, regime change detection, correlation analysis. Qualifications: Educational Background: Bachelor's, Master's, or PhD in Mathematics, Statistics, Quantitative Finance, Econometrics, Physics, or a closely related highly quantitative field. Experience: Proven experience in applying advanced mathematics, probability, and statistics in academic research, quantitative finance, or a related analytical domain. We value both experienced educators and talented freshers with exceptional academic records and demonstrable project experience. Domain Expertise: Possess an extremely strong and expert-level understanding of the theoretical and applied aspects of advanced mathematics, statistics, and stochastic processes relevant to quantitative finance. Exceptional Communication Skills: Superior ability to articulate the most complex mathematical and statistical concepts clearly, concisely, and engagingly in a live online setting. High Discipline & Work Ethic: Demonstrated ability to maintain a rigorous teaching schedule, prepare thoroughly, and foster a disciplined learning environment. Technical Proficiency: Highly tech-savvy with experience in online teaching tools, virtual whiteboards, and mathematical/statistical software (e.g., MATLAB, R, Python with scientific computing libraries). Mandatory Requirement (Crucial for Application): A strong background in Finance or Trading , especially with Algorithmic Trading or broader Quant experience , is a mandatory requirement for all applicants. This ensures practical relevance and industry context. Application Requirement: To assess your teaching prowess and technical communication skills, all applicants must submit a sample teaching video of at least 30 minutes on any topic within Quantitative Foundations (Mathematics, Statistics & Stochastic Processes) that you are highly proficient in (e.g., explaining Ito's Lemma, demonstrating Bayesian inference, or breaking down GARCH models). This video should clearly demonstrate your ability to explain complex concepts, engage an audience, and showcase your depth of expertise, hard work, and disciplined approach to teaching.

Summary: The Statistician/Mathematician designs and develops tools that support game design. Roles and Responsibilities: Adaptability/Flexibility Creativity/Continuous Improvement Dependability Problem Solving / Decision Making Attention to details Ability to coordinate with remote team In depth understanding of probability. Programming language skills in C++ or C# Good to have experience in Creating efficient math tools using C++/C# Analyze and project large game data Ability to complete assignments without supervision Develop reports to illustrate the results and findings to others Work with others to develop game prototypes and tools Perform analysis of Casino and Test Lab inquires of game play characteristics Maintain, update, and organize pay tables and related information Perform other duties as assigned 1 to 3 years of relevant experience What We're Looking For Bachelor’s degree in Comp. Science/mathematics/statistics. Why Aristocrat? Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We’re a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play. We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V World Leader in Gaming Entertainment Robust benefits package Global career opportunities Our Values All about the Player Talent Unleashed Collective Brilliance Good Business Good Citizen Travel Expectations None Additional Information: Depending on the nature of your role, you may be required to register with the Nevada Gaming Control Board (NGCB) and/or other gaming jurisdictions in which we operate. At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship. Show more Show less

Who We Are & Why Join Us Avathon is revolutionizing industrial AI with a powerful platform that enables businesses to harness the full potential of their operational data. Our technology seamlessly integrates and contextualizes siloed datasets, providing a 360-degree operational view that enhances decision-making and efficiency. With advanced capabilities like digital twins, natural language processing, normal behavior modeling, and machine vision, we create real-time virtual replicas of physical assets, enabling predictive maintenance, performance simulation, and operational optimization. Our AI-driven models empower companies with scalable solutions for anomaly detection, performance forecasting, and asset lifetime extension—all tailored to the complexities of industrial environments. Cutting-Edge AI Innovation – Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. High-Growth Environment – Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Meaningful Impact – Work on AI-driven projects that drive real change across industries and improve lives. Learn more at: Avathon The Applied Research team addresses hard, novel challenges that arise in product development or customer engagements. As a Data Scientist , you'll bring your knowledge and proven data science expertise to conduct research in machine learning-based solutions that improve our products and help our customers. Qualified candidates are deeply analytical with a keen understanding of artificial intelligence, machine learning, and data science. They are experienced researchers who know how to design worthwhile experiments and empirically derive conclusions. They have the ability, inclination, and experience to conduct research that solves practical problems. They have the communication skills to work closely with both research colleagues and customers. You Will Independently and effectively engage with internal product developers, external customers, and subject matter experts to understand and solve critical technical challenges through the application of cutting-edge artificial intelligence Conduct research and create models for commercial and industrial applications in: forecasting stochastic demand, economics based inventory optimization, manufacturing and network planning, transportation routing and resource scheduling, anomaly detection, prescriptive maintenance (e.g. based on IOT data), health and safety (e.g. based on computer vision and IOT data). Conduct research across artificial intelligence areas including reinforcement learning, foundation models, graph neural networks, causal modeling, transferability and continuous learning Pioneer procedures and/or automated toolsets to more efficiently and effectively perform data science activities Contribute to AI product development and key data science research areas, internally and externally Propose new projects or initiatives that will yield business benefits and evaluate project plans and proposals Evaluate and respond to RFPs related to artificial intelligence Conduct research and write patent applications and technical publications You’ll Have Experience with research-level innovation in Data Science and ML, preferably with an advanced degree. 5+ years of experience in one or more of forecasting, optimisation (inventory/ supply chain/ network/ transportation), procurement, prescriptive maintenance, fine-tuning language models, creating domain agents, computer vision. Experience with reinforcement learning including MARL, graph neural networks, economic and probabilistic modeling is a plus. Strong understanding of Data Science, including machine learning, statistics, probability, and modeling. Significant experience with Data Science programming languages, such as Python, R, Matlab Significant experience with machine learning frameworks, such as PyTorch, TensorFlow, Theano, and Keras. Applied knowledge of ML techniques/algorithms including linear models, neural networks, decision trees, Bayesian techniques, clustering, and anomaly detection Significant experience managing large volumes of data (terabytes or more) Experience with leading project teams, specifically data science teams Strong written and verbal communications, ability to translate complex technical topics to internal and external stakeholders. Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you. Show more Show less

Job Description We are seeking a talented Generative AI Developer to join our team and build cutting-edge generative models. The ideal candidate will work on developing AI systems that can create innovative, human-like content, ranging from natural language generation (NLG), image generation, and even video or music synthesis. The candidate requires to carry expertise in machine learning, deep learning, and natural language processing (NLP), as well as an understanding of specific generative models like GPT, GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), or other types of neural networks. Responsibilities Develop and fine-tune generative models using techniques like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Transformers, Diffusion models, etc. Work on tasks such as text generation, image generation, music or sound generation, video creation, and other creative AI applications. Design, build, and deploy models using frameworks like TensorFlow, PyTorch, Hugging Face, OpenAI's GPT, or similar tools. Optimize AI models for performance, accuracy, and scalability in real-world production environments. Research and stay updated on the latest trends, papers, and breakthroughs in generative AI. Collaborate with other teams (data scientists, machine learning engineers, product teams) to integrate models into production systems. Work on data preprocessing, augmentation, and designing pipelines to ensure high-quality input for model training. Document your code, process, and model outputs for team-wide visibility and knowledge sharing. Required Qualifications & Skills Bachelor's or Master's degree in Computer Science or related fields. 3-4 years of hands-on experience in developing Generative AI solutions Strong understanding of deep learning algorithms, especially in generative models like GANs, VAEs, Diffusion models, or large-scale language models like GPT. Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face. Experience working with neural networks, unsupervised learning, and natural language processing (NLP). Strong programming skills in Python, including deep learning libraries (e.g., TensorFlow, Keras, PyTorch). Familiarity with cloud platforms (AWS, GCP, or Azure) for model training and deployment. Strong mathematical and statistical knowledge, particularly in probability theory, linear algebra, and optimization. Experience in large-scale model training, fine-tuning, or distributed computing. Knowledge of reinforcement learning (RL) and self-supervised learning. Familiarity with AI ethics, bias mitigation, and interpretability in generative models. Show more Show less

We are seeking a passionate Mathematics Teacher to join our team and prepare students for the JEE Advanced examination. The ideal candidate will have a strong command of advanced mathematics, a proven track record of mentoring students for competitive exams, and the ability to simplify complex concepts to foster deep understanding and problem-solving skills. KEY ROLE:- Design and deliver engaging, comprehensive lessons in mathematics tailored to the JEE Advanced syllabus, covering topics such as algebra, calculus, coordinate geometry, trigonometry, probability, and more. Develop and implement effective teaching strategies to enhance students’ conceptual understanding and analytical skills. Create high-quality study materials, including practice questions, mock tests, and detailed solutions aligned with JEE Advanced patterns. Provide personalized guidance and doubt-clearing sessions to address individual student needs. Monitor student progress, assess performance through regular tests, and provide constructive feedback. Stay updated with the latest JEE Advanced exam trends, question patterns, and syllabus changes. Inspire and motivate students to achieve their highest potential and build confidence in tackling challenging problems. Collaborate with other faculty members to ensure a cohesive and integrated approach to JEE preparation. QUALIFICATION A BACHELOR'S DEGREE IN THE FIELD OF MATHEMATICS Show more Show less

Role Description This is a full-time hybrid role for a Lead Data Scientist at UsefulBI Corporation, located in the Greater Bengaluru Area, with some work-from-home flexibility. The Lead Data Scientist/Architect will be responsible for overseeing all aspects of data science, including data analytics, visualization, and analysis. They will work on day-to-day tasks related to data engineering, AI/ML, and Business Intelligence to drive business transformation and exceed sustainable goals. Key Responsibilities Conduct complex data analyses to identify trends, patterns, and insights. Utilize statistical methods and machine learning techniques to forecast future trends. Advanced analytics, machine learning, AI Model development, training, and deployment (MLOps) Business insights using statistical and predictive modelling. Building scalable, reliable data pipelines Creating and managing data lakes, data warehouses ETL/ELT workflows Ensuring data quality, governance, and lineage. Dedicated leadership (Practice Head or CoE Lead). Defined service offerings and case studies. Reusable assets and accelerators and regular internal training and certifications. Client wins and repeatable success stories. Required Skills And Qualifications 7+ years of experience as a Data Scientist or ML Engineer. Strong expertise in Python and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch. Experience in end-to-end ML lifecycle including model development, validation, and deployment. Solid understanding of statistics, probability, and data modeling. Experience with NLP libraries (NLTK, spaCy, Hugging Face Transformers). Hands-on experience with GenAI tools: OpenAI APIs, Lang Chain, RAG, LLM fine-tuning. Experience with SQL and at least one NoSQL database. Familiarity with cloud platforms (AWS, GCP, Azure) and version control (Git). Strong communication skills with the ability to explain complex models to non-technical audiences. (ref:hirist.tech) Show more Show less

About Citi: Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. Citi’s Mission and Value Proposition explains what we do and Citi Leadership Standards explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients’ and the public’s trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve. Our Leadership Standards is a common set of skills and expected behaviors that illustrate how our employees should work every day to be successful and strengthens our ability to execute against our strategic priorities. Diversity is a key business imperative and a source of strength at Citi. We serve clients from every walk of life, every background and every origin. Our goal is to have our workforce reflect this same diversity at all levels. Citi has made it a priority to foster a culture where the best people want to work, where individuals are promoted based on merit, where we value and demand respect for others and where opportunities to develop to are widely available to all. Job Description: Citi is looking for an energetic, motivated professional to join its Fraud Analytics team. As part of the Global Fraud Analytics team, this role is responsible for the fraud model development and validation supporting Citi’s North American Cards business. The Specialized Analytics Sr. Analyst is a strategic professional who closely follows latest trends in own field and adapts them for application within own job and the business. Excellent communication skills required in order to negotiate internally, often at a senior level. Developed communication and diplomacy skills are required in order to guide, influence, and convince others, in particular colleagues in other areas. Responsibilities: Partner closely and manage interaction with Strategy partners and Model Risk Management validators across the model lifecycle including validation, ongoing performance evaluation, and annual reviews. Responsible for model development, validation and testing of fraud detection models, including statistical analysis, data validation and model performance evaluation. Conduct rigorous validation assessment for fraud model validation; develop and implement validation methodologies to assess model accuracy, robustness, and effectiveness. Ensure compliance with regulatory requirements and industry best practices in fraud detection and model validation. Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies. Identifies and compiles data sets using a variety of tools (e.g. Hive, SQL) to help predict, improve, and measure the success of key business to business outcomes Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis, which may include utilizing statistical models / algorithms and data visualization technique. Specialization in fraud or risk domain preferred Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 8+ years of hands-on analytical experience 5+ years’ experience in statistical analysis with working knowledge of at least one of the following statistical software packages: Python (Must), Hive, Spark, SAS Strong quantitative, analytical, and problem-solving skills; knowledge of probability theory, statistics, mathematical finance, econometrics, numerical methods Strong understanding of statistical concepts and modelling techniques including traditional and advanced ML algorithms Strong proficiency in statistical analysis and model validation techniques. A solid grasp of traditional and advanced modeling techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests, etc. Expertise in model evaluation techniques such as ROC curves, precision-recall, KS, cross-validation, feature importance, SHAP values, etc. Familiarity with regulatory requirements and guidelines related to risk model validation. Strong communication and interpersonal skills; experience with Stakeholder management Strong project management and organizational skills; ability to multi-task and meet deadlines. Ability to work independently. Risk and control mindset: ability to ask incisive questions, assess materiality and escalate issues. Ability to handle large volumes of transactional data. Familiarity with data extraction tools like Hive will be an advantage. Successful candidate will have a demonstrable analytical problem solving, and the ability to deliver projects in a fast-paced environment. Willing to learn and can-do attitude. Education: Master’s/Bachelor’s/PhD degree in Statistics, Economics, Finance, Mathematics or a related quantitative field; Engineering/MBA background from a premier institute ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Specialized Analytics (Data Science/Computational Statistics) ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View the " EEO is the Law " poster. View the EEO is the Law Supplement . View the EEO Policy Statement . View the Pay Transparency Posting Show more Show less

Company Description Anand Rathi is a leading full-service investment bank founded in 1994, offering a wide range of financial services and wealth management solutions to institutions, corporations, high-net-worth individuals, and families. The firm has expanded its footprint to over 350 locations across India with an international presence in Dubai, Hong Kong, and New York. Employing over 4,000 professionals, Anand Rathi provides expert research and advisory to increase the probability of maximized returns on client investments through various channels like Online, Branch, PCG, Preferred, and Privilege. Offering a wide array of products across various asset classes, the firm caters efficiently to the specific requirements of diverse client types. Role Description This is a full-time on-site role for an Equity Dealer located in Patna. The Equity Dealer will be responsible for executing trades on behalf of clients, providing market insights, and ensuring compliance with regulatory requirements. Daily tasks include monitoring stock market trends, advising clients on investment opportunities, and managing portfolios to achieve optimal returns. The role also requires maintaining strong client relationships and staying updated on market developments. Qualifications Proficiency in Stock Market and Trading skills Knowledge in Equities and Investment strategies Strong understanding of Finance principles and practices Excellent analytical and decision-making skills Ability to work well under pressure and in a fast-paced environment Effective communication and interpersonal skills Relevant certifications in finance or related fields are a plus Show more Show less

Hyderabad, India Job ID: R-1067829 Apply prior to the end date: August 8th, 2025 When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What you'll be doing… As an Associate Director, you will lead a team of data scientists focused on a specific program(s) delivering a business outcome within a problem space. These AI capabilities will include predictive, prescriptive and adaptive applications for all predictions and inferences at Verizon. Models will typically get implemented on premise, in cloud and/or on the edge and in both real-time and batch mode depending upon the business applications. An ideal candidate will have excellent communication skills, critical thinking, and strategic thinking skills above and beyond the technical knowledge and leadership skills required for this position. This role is responsible for Forecasting, data analytics, Gen AI capabilities and people management across projects by applying various statistical techniques, business acumen & stake holder management. The Associate Director, develops the team and brings in best in class methods. This role serves as a leader in AI Science with a focus on driving continuous improvement for the demand function. Having Domain knowledge of VCG/VBG is an Add-on. Build and Manage the Team Building a diverse team with an inclusive culture and also attract and retain top data science and AI talent. Mentoring, guiding, and developing Data Scientists and people leaders( if applicable ) Enabling career development via access to training resources, on the job coaching and mentoring Deliver Business Outcomes & Influence Business Partners Leading and managing team responsible for deploying analytical solutions to inform forecasts and drive decision-making across various projects Developing and implementing Forecasting best practices Implementing generalized AI solutions that addresses several business outcomes across a problem space. Operating with a high degree of autonomy, accountability and a sense of urgency in delivering business outcomes. Aligning with business partners to enable your team to design, develop, and deploy large-scale AI products with closed loop optimization in a production environment. Elevate the AI Practice Enforcing the established best practices and governance routines to ensure adherence to model management practices, peer reviews, and compliance to our policy standards for privacy, ethics and bias. Fostering an innovation culture where our scientists are engaged in pioneering work that can be shared with the world in a number of ways like inventions, open source, publications, etc. Creating monetizable AI applications that can be leveraged both within Verizon and externally with Verizon’s partners. What we’re looking for ... You are a dynamic leader with experience in implementation of AI in commercial applications driving business value and are proud to be a hands on practitioner. You are constantly challenging the status quo and identifying new innovative ways to drive your team towards new ways of working that creates efficiencies. You’ll need to have: Bachelor’s degree or four or more years of work experience. Six or more years of relevant work experience. Five or more years of experience leading and building data science teams and talent Experience delivering business outcomes in large and complex business organizations or fast growing startup businesses. Ability to communicate complex model designs and outcomes in business terms to a non-technical audience. Understanding and ability to explain both the code and the underlying math used in algorithms/models. Excellent coding proficiency in python, java, R, etc. Knowledge of AI/ML models, frameworks(keras, pytorch, etc.) and libraries/packages/apis (e.g., scikit) Even better if you have one or more of the following: Advanced degree in Computer Science, Mathematics or similar field is preferred Advanced knowledge of math, probability, statistics, and models Experience with Hadoop, AWS/GCP/Azure or other distributed compute services and cloud environments Exposure to data structures, data modeling and software architecture Excellent cross-functional collaboration skills & Outstanding analytical and problem solving skills. #AI&D Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Apply Now Save Saved Open sharing options Share Related Jobs Associate Director, AI Science Save Basking Ridge, New Jersey, +2 other locations Technology Senior Engineer Consultant-AI Science Save Hyderabad, India, +1 other location Technology Senior Engineer Consultant-Data Science Save Bangalore, India, +1 other location Technology Shaping the future. Connect with the best and brightest to help innovate and operate some of the world’s largest platforms and networks.

Hyderabad, India Risk Management In-Office 10300 Job Description Job Purpose The selected candidate will join the IDA Quantitative Research team, where they may manage and train quantitative resources. They will also research, design, develop, and support a wide variety of quantitative models and methodologies for the valuation and risk measures calculation of fixed income securities. Responsibilities Independently manage, research, develop, maintain both valuation and risk models for fixed income securities, including their derivatives (e.g. swaps, caps, floors, forward rate agreements, options), with a focus on structured securities (CMO, ABS, CLO, etc.). Activate new fixed income securities in Java-based analytics systems. Lead quantitative efforts with the development team and the quality assurance team to ensure timely releases of Java-based products with enhanced capabilities and the highest quality. Provide training and management to other quantitative personnel as needed. Provide analytic support and consulting to both internal and external users on issues related to quantitative modeling and valuation of fixed income securities and their derivatives, with a focus on structured securities. Knowledge and Experience Advanced degree (Master's, PhD, or equivalent) in a quantitative field (e.g. mathematics, physics, engineering and finance). Advanced knowledge of mathematics, including stochastic processes, partial differential equations, probability theory, and numerical methods. Advanced training in statistical inference, time series analysis, machine learning and Monte Carlo simulation. At least 7 years of professional experience, with a proven record of managing and leading an analytics research team. Strong programming skills in Java, C/C++, Python and SQL. Highly motivated and eager to lead in the learning and growth of the team. Strong ability to communicate technical ideas and concepts to senior management and colleagues outside the domain on a regular basis

ROLES & RESPONSIBILITIES Core Skills Strong knowledge of statistics and probability theory Proficiency in at least one programming language such as Python and SQL Experience with data visualization tools such as PowerBI Understanding of machine learning algorithms and models Knowledge of data cleaning and preprocessing techniques Experience with data analysis and interpretation EXPERIENCE 3-4.5 Years SKILLS Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Python, Data Science ABOUT THE COMPANY Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.

Mathematics Instructor About NxtWave NxtWave is one of India’s fastest-growing ed-tech startups , revolutionizing the 21st-century job market. NxtWave is transforming youth into highly skilled tech professionals through its CCBP 4.0 programs, regardless of their educational background. NxtWave is founded by Rahul Attuluri (Ex Amazon, IIIT Hyderabad), Sashank Reddy (IIT Bombay) and Anupam Pedarla (IIT Kharagpur). Supported by Orios Ventures, Better Capital, and Marquee Angels, NxtWave raised $33 million in 2023 from Greater Pacific Capital. As an official partner for NSDC (under the Ministry of Skill Development & Entrepreneurship, Govt. of India) and recognized by NASSCOM, NxtWave has earned a reputation for excellence. Some of its prestigious recognitions include: Technology Pioneer 2024 by the World Economic Forum, one of only 100 startups chosen globally ‘Startup Spotlight Award of the Year’ by T-Hub in 2023 ‘Best Tech Skilling EdTech Startup of the Year 2022’ by Times Business Awards ‘The Greatest Brand in Education’ in a research-based listing by URS Media NxtWave Founders Anupam Pedarla and Sashank Gujjula were honoured in the 2 024 Forbes India 30 Under 30 for their contributions to tech education. NxtWave breaks learning barriers by offering vernacular content for better comprehension and retention. NxtWave now has paid subscribers from 650+ districts across India. Its learners are hired by over 2000+ companies including Amazon, Accenture, IBM, Bank of America, TCS, Deloitte and more. Know more about NxtWave: https://www.ccbp.in Read more about us in the news - Economic Times | CNBC | Yourstory | VCCircle About NxtWave Institute of Advanced Technologies (NIAT): NIAT is NxtWave’s flagship 4 Years, on-campus program for Computer Science Education. It is designed to offer one of India’s most advanced industry-aligned curricula. Situated in the heart of Hyderabad's Tech landscape, NIAT’s new-age campus is surrounded by global giants like Google, Microsoft, Apple, Infosys, TCS and many more providing students with unparalleled exposure to the world of technology. At NIAT, world-class software engineers are the mentors who work hand-in-hand with students, ensuring they graduate as industry-ready professionals. With a curriculum that seamlessly integrates real-world tech requirements, NIAT prepares students to thrive in an ever-evolving tech world. NIAT’s 2024-2028 admissions cycle was a massive success, with all seats filling up rapidly with a long waitlist for admissions, further solidifying NIAT’s reputation as the premier destination for aspiring tech leaders. Know more about NxtWave: https://www.ccbp.in Know more about NIAT: https://www.niatindia.com/ Read more about us in the news - Economic Times | CNBC | Yourstory | VCCircle Curriculum Scope: The candidate will have to teach, but not limited to, the following topics. Number systems including Binary, Decimal, Octal, and Hexadecimal, along with conversions between these systems. Understanding signed and unsigned integers, floating-point representation, and bitwise operations such as AND, OR, NOT, XOR, NAND, NOR, and shift operations. Arithmetic operations across number systems, concepts and methods for calculating GCD and LCM, basics of modulo arithmetic, it’s principles. Principles of counting, permutations and combinations (with and without repetition), and their real-life applications. Core probability concepts including basic rules, simple probability, and conditional probability. Matrix representation and operations including addition, multiplication, and determinants. Applications in graph representation and linear transformations. Understanding arithmetic and geometric series along with common summation techniques. Fundamentals of set theory, operations like union, intersection, and difference, usage of Venn diagrams, Cartesian products. Requirements: M.Tech or MSc Maths + NET Cleared or Ph.D in Mathematics. Prior experience in teaching or tutoring Mathematics or related topics is an added advantage. Passion for teaching and mentoring, with a commitment to student success. Skills (Must Have) : Strong understanding of core math topics including number systems, modular arithmetic, combinatorics, probability, matrices, series, and set theory. Professional fluency in English, with excellent communication and presentation skills. Proficiency in content development using tools like Google Sheets, Google Slides, etc. (Knowledge of Microsoft 365 stack is a plus). Ability to quickly learn and use technology platforms to interact with students. Empathy, ambition, and the ability to work closely with individuals from diverse backgrounds and cultures. Good to Have : An innovative approach to problem-solving and adaptability to different learning styles. Strong organizational and time-management skills to structure lessons and assessments effectively. Ability to adapt teaching methods to various learning styles & requirements. Strong problem-solving and solution-seeking mindset. Openness to constructive feedback and continuous improvement. A sense of ownership, initiative, and drive for delivering high-quality teaching outcomes. Familiarity with software tools for mathematical analysis or graph representation. Key Responsibilities: Deliver daily in-person classroom training on Mathematics and/or related courses Design, develop, and implement learning activities, materials, and resources that align with industry standards. Provide personalized learning experiences by understanding student needs and delivering tailored support throughout the program. Actively assist and resolve student queries and issues promptly, providing mentorship and guidance. Contribute to curriculum development and improvements based on student feedback and industry trends. Continuously develop and demonstrate a teaching philosophy that inspires student learning. Review student deliverables for accuracy and quality. Handle a class size of 70–100 students, ensuring engagement and effective learning outcomes. Stay current with professional development in both pedagogy and software development practices. Job Overview Job Type: Full-Time Working Days: 6-Day Week Salary during Training: 25k per month CTC (After Training): 4 - 7.2 LPA Note: This job description outlines the core responsibilities of the Mathematics Instructor (Full-Time) role at NIAT. Additional duties may be assigned as required to meet the organization's evolving needs. Show more Show less

Job Purpose China and Japan play a critical role in the growth and success of the GSK organization. The creation of Asia Development organization provides an opportunity for the biostatistics team to utilize statistical methods to further enhance our disease understanding and to help determine the optimal analytical methods using appropriate data sources in Asia. This new job description reflects the accountabilities and skill sets required to meet the needs of leading innovation in Asia Development Biostatistics. This new role is created to help shape the future of the Asia Development Biostatistics function and transform the way in which GSK uses data and quantitative thinking to drive disease-aligned decision-making in R&D. This individual will be able to place statistical thinking at the heart of regional and global R&D decision-making; to ensure that the fit-for-purpose statistical methodology, such as predictive models and well-designed experiments and trials, deliver robust evidence as the input to those decisions – ultimately making the R&D process more efficient and increasing the probability of success. Key Responsibilities Enhance our disease understanding through the implementation of advanced statistical and/or machine learning methodologies across a range of areas from complex models through to market access activities involving real world data to directly support business critical projects. Identify opportunities to utilize statistical methods to further enhance our disease understanding. Collaboration with cross regional and global functional quantitative groups to help determine the optimal analytical methods using appropriate data sources. Support the upskilling of Statisticians and other quantitative disciplines in statistical methodologies for disease understanding in Asia including their direct application in clinical development planning. Lead the planning and implementation of strategic projects within Asia Development Biostatistics, ensuring they have clear objectives, achievable timelines, intermediate milestones, and well-defined criteria for success Present statistical principles, methods, study designs, and/or results transparently and precisely to GSK researchers and management across all levels both in Asia and the global organization, ensuring appropriate understanding and contributing to better quantitative decision-making across drug development Interact with external Asia scientific groups (industry, academia, regulators) and vendors through presentations, publications, and collaborations, in order to contribute to innovation and uptake of novel statistical methodology and tools within GSK Asia and across the pharmaceutical industry. Serve as a member of the Asia Development Biostatistics Leadership Team Basic Qualifications PhD in Statistics or closely related field 10+ years experience in the field of drug development 5+ years experience as a people leader Knowledge/understanding of drug development process Preferred Experience Or Qualifications Demonstrated ability to influence management, stakeholders, and staff to adapt to positive change. Demonstrated digital fluency and experience in applying creative thinking/business analysis skills to improve or solve business problems. Experience applying a broad array of foundational statistical methodologies, including but not limited to methods for study/experimental design, linear models, generalized linear models, linear and generalized mixed models, survival analysis, Bayesian methods, longitudinal data analysis, and causal inference. Knowledge of or interest multiple aspects of drug development, including drug discovery, preclinical development, and clinical development Experience working in high performance computing environments either for running intensive computational methods or for handling large simulation experiments Evidence of ability to publish quantitative methodological research or scientific research findings using advanced quantitative methodologies. Demonstrable evidence of influencing and partnering with diverse stakeholders of varying levels of seniority. Managerial experience Good communication and influencing skills, curiosity, passion for patients Knowledge and work experience in clinical statistics. Business Acumen - understands implications of decisions from a broad business perspective and uses this knowledge to influence decision-making in Asia Development. Demonstrate leadership in the application of innovative approaches with portfolio-level impact. Works to move the Asia Development statistics organization to a leadership position in the industry both regionally and globally. A strong sense of initiative, urgency, drive, pragmatism and judgement – overall an ability to make things happen. Proven ability to deliver to demanding deadlines whilst maintaining the highest quality. Show more Show less

Job Description A successful candidate would work as an EXL consultant with a leading Financial Services Organization on an unsecured lending portfolio. The job will require the consultant to work on: Risk Model Development: Design, develop, and validate quantitative models for assessing credit, market, and operational risks. Enhance existing risk models to ensure accuracy and relevance in line with industry best practices. Stay abreast of regulatory requirements and industry standards, and adjust models accordingly Forecasting and Scenario Analysis: Develop and implement forecasting models to assess potential impacts on the organization's risk profile. Conduct scenario analysis to evaluate the sensitivity of risk exposures to various economic and market conditions. Provide insights and recommendations based on forecasting results to inform strategic decision-making Expertise in developing sophisticated models, including segmentation models, loss forecasting models, Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models Support tactical & strategic risk analytics initiatives for Mexico based banks’ Risk team Design A/B testing frameworks with Design of Experiments (DOE) methodology to optimize risk management programs Policy analytics to make sure correct customer segments are targeted and acquired Evaluate effectiveness of current policies & strategies, manage the monthly dashboards and ad-hoc analysis, analyze tests & performance related to funnel performance, portfolio verification performance and post issuance loan performance Develop and maintain effective working relationships with colleagues in other areas of Risk Management. Summarize analytical findings into presentations and share analysis & reports with senior leadership. Manage assigned projects in a timely manner, ensuring accuracy and that deliverables are met Train, coach and develop team members Qualifications 1-8 years of overall experience in model development for a bank, focusing on unsecured lending portfolio Solid understanding of statistical techniques, machine learning, and forecasting methods Excellent communication skills with the ability to convey complex technical concepts to a non-technical audience Knowledge in Banking Domain is mandatory Must have: Hands on work experience in Python, SQL Educational Background Master's or Ph.D. in a quantitative field such as Finance, Economics, Statistics, Mathematics or Operations research. Educational Background o B.Tech /B.E from premier/reputed organizations (IIT/NIT preferred) o Other courses include economics, mathematics, operations research etc. Show more Show less

At Franklin Templeton, we’re driving our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic and diversified firm spans asset management, wealth management, and fintech, offering many ways to help investors make progress toward their goals. Our talented teams working around the globe bring expertise that’s both broad and unique. From our welcoming, inclusive, and flexible culture to our global and diverse business, we offer opportunities not only to help you reach your potential but also to contribute to our clients’ achievements. Come join us in delivering better outcomes for our clients around the world! At Franklin Templeton, everything we do is focused on one thing – delivering better client outcomes. We do that by partnering closely with our clients, assessing their strategic needs, and identifying the solution or solutions that can meet the challenge. Over 12,000 employees working in 34 countries around the world are dedicated to servicing investment solutions for our clients in more than 160 countries. For more than 70 years our success has been a direct result of the talent, skills and persistence of our people, and we are looking for qualified candidates to join our team. What is the FTT AI & Digital Transformation Team responsible for? The FTT AI & Digital Transformation group is a newly established team within Franklin Templeton Technologies, the technology function within Franklin Templeton Investments What is the Director - Research Scientist – AI & Optimization responsible for? The core mandate of this role is to bring innovative digital investment products and solutions to market, leveraging a patented and innovative digital WealthTech/FinTech product - Goals Optimization Engine (GOE) - built with several years of academic research in mathematical optimization, probability theory and AI techniques at its core. The mandate also extends to leveraging cutting edge AI, such as Generative AI, in addition to Reactive AI to create value within various business functions within Franklin Templeton such as Investment Solutions, Portfolio Management, Sales & Distribution, Marketing, and HR functions, among others, in a responsible and appropriate manner. The possibilities are limitless here and present a fantastic opportunity for a self-motivated and driven professional to make significant contributions to the organization and to themselves. What are the ongoing responsibilities of a Director - Research Scientist – AI & Optimization? As a Principal Research Scientist - AI and Optimization, you will play a pivotal role in driving innovation, product research, and proof of concepts for our AI research and Goals Optimization Engine (GOE) product roadmap. You will be responsible for mentoring and guiding a team of highly motivated research scientists, creating intellectual property, and ensuring successful client deployments and product development. Key Responsibilities Innovation, Product Research, Proof of Concepts, Pseudocode & Design (40%): Lead and contribute to the multi-year Goals Optimization Engine (GOE) product roadmap, conceptualizing fitment against various industry use cases, creating product variants, and designing new features and enhancements across multiple distribution lines and geographies Mentor and guide a team of research scientists to achieve common objectives Serve as the Subject Matter Expert (SME) for a specific domain within AI and/or Optimization, acting as the go-to person for all internal stakeholders Develop pseudocode and working prototypes in a Python environment, collaborating closely with Product Managers and Product Developers Create well-articulated design documents and presentations to explain research to internal and external stakeholders, including clients and partners located globally Lead industry research and evaluate partnerships with third-party vendors and specialized service providers where appropriate Maintain a thorough understanding of boundary conditions, regulatory environments, data challenges, technology integrations, algorithmic dependencies, and operational process nuances to ensure nothing slips through the cracks Stay up to date with the latest developments in the Investment Management industry, Financial Mathematics, Portfolio Construction, and Portfolio Management IP Creation, Paper Writing, and Thought Leadership (30%): Conceptualize and produce high-quality intellectual property for publication in top-tier academic and practitioner journals Peer-review the work of other research scientists and improve the outcome of their research output Create patent-worthy intellectual content, apply for patents, and win them Take responsibility for winning industry awards for exceptional product research and innovative work products Stay informed about the latest industry research and evaluate it objectively and in an unbiased manner Publish research works for conferences Client Deployment, Product Development, and Vendor Due Diligence (30%): Act as the SME in initial client deployment discussions, showcasing the rigor of research, explaining the product or solution concept, and engaging in discussions with similar individuals/teams from the client/partner side Contribute to product development by ensuring alignment with research and design Provide hands-on support where required to complete time-critical work successfully Engage with third-party vendors and potential integration partners to understand their capabilities, methodologies, and algorithms, and perform rigorous due diligence to make clear recommendations on Go/No-Go decisions What ideal qualifications, skills & experience would help someone to be successful? Education Bachelor's and master's degree in STEM disciplines; a PhD in a relevant discipline (Optimization, Probability, Quant Finance, AI & ML, Computational Mathematics, Statistics, etc.) would be a + Relevant industry certifications Experience - Core Skills 10+ years of applied R &D experience in research departments of reputed organizations post-Masters or PhD Track record of real innovation generating impact is essential Demonstrated ability to create intellectual content, publish papers, and obtain patents Ability to effectively bridge the gap between academia and practice, ensuring research is practical and implementable Structured thinking and exceptional mathematical skills Excellent team player with the ability to work with ambiguity and thrive in chaos Familiarity with ML/DL/DRL, NLP, especially Large Language Models, dynamic programming, and/or convex optimization Solid experience with AWS and/or Azure Familiar with Python, PySpark, SQL, Hadoop, C++ Experience - Other Soft Skills Proven ability to take initiative and work under pressure in a changing, fast paced environment Exceptional decision-making skills, with the ability to prioritize across needs given limited resources Thrives in a startup-like environment: loves dealing with a fast pace and changing needs Ability to build relationships both inside and outside of the product organization Ability to narrate a story for a problem along with the capacity to dive into minute details Superlative communication and consensus-building skills Work Shift Timings - 2:00 PM - 11:00 PM IST Experience our welcoming culture and reach your professional and personal potential! Our culture is shaped by our diverse global workforce and strongly held core values. Regardless of your interests, lifestyle, or background, there’s a place for you at Franklin Templeton. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life. Hear more from our employees By joining us, you will become part of a culture that focuses on employee well-being and provides multidimensional support for a positive and healthy lifestyle. We understand that benefits are at the core of employee well-being and may vary depending on individual needs. Whether you need support for maintaining your physical and mental health, saving for life’s adventures, taking care of your family members, or making a positive impact in your community, we aim to have them covered. Highlights Of Our Benefits Include Professional development growth opportunities through in-house classes and over 150 Web-based training courses An educational assistance program to financially help employees seeking continuing education Medical, Life and Personal Accident Insurance benefit for employees. Medical insurance also cover employee’s dependents (spouses, children and dependent parents) Life insurance for protection of employees’ families Personal accident insurance for protection of employees and their families Personal loan assistance Employee Stock Investment Plan (ESIP) 12 weeks Paternity leave Onsite fitness center, recreation center, and cafeteria Transport facility Child day care facility for women employees Cricket grounds and gymnasium Library Health Center with doctor availability HDFC ATM on the campus Learn more about the wide range of benefits we offer at Franklin Templeton Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and existing employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation. Franklin Templeton is committed to fostering a diverse and inclusive environment. If you believe that you need an accommodation or adjustment to search for or apply for one of our positions, please send an email to accommodations@franklintempleton.com. In your email, please include the accommodation or adjustment you are requesting, the job title, and the job number you are applying for. It may take up to three business days to receive a response to your request. Please note that only accommodation requests will receive a response. Show more Show less

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more . Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact. We are seeking Mathematics PhD freelancer with a minimum of 1 year of experience to join us as freelancers and contribute to impactful AI training projects. Key Responsibilities: Develop, review, and refine mathematical problems, solutions, and explanations for AI training. Ensure accuracy, clarity, and logical consistency in mathematical data. Evaluate and improve AI-generated mathematical content. Debug and correct errors in AI-driven mathematical reasoning. Collaborate with teams to enhance AI's understanding of mathematical concepts. Required Qualifications: 1+ year of experience in Mathematics-related fields (Teaching, Research, Data Science, AI Training, etc.). Strong problem-solving and analytical skills. Proficiency in advanced mathematics (Algebra, Calculus, Probability, Statistics, etc.) is a plus. Ability to critically analyze AI-generated outputs and provide constructive feedback. Why Join Us? Competitive pay (₹1000/hour). Flexible hours. Remote opportunity NOTE: Pay will vary by project and typically is up to Rs. 1000 per hour (if you work an average of 3 hours every day - that could be as high as Rs 90K per month) once you clear our screening process. Shape the future of AI with Soul AI! Show more Show less