168 Statistical Modelling Jobs

Role Overview: You will work with cross-functional and cross-regional teams for data analysis, monitoring, and forecasting. You will be responsible for creating logic and implementing strategies, providing requirements to data scientists and technology teams, as well as communicating with global stakeholders to ensure the best possible customer experience. Key Responsibilities: - Lead the development and implementation of advanced analytical models and algorithms to support decision-making processes. - Utilize statistical analysis and machine learning techniques to extract insights from large and complex datasets. - Collaborate with business stakeholders to understand their needs and require...

**Job Description:** **Role Overview:** You will be responsible for teaching Applied AI/ML courses, developing industry-relevant curriculum, mentoring student projects, guiding and mentoring students, staying updated on the latest AI/ML trends, collaborating with faculty, and assessing practical skills. **Key Responsibilities:** - Design and deliver practical, project-based courses in AI/ML, including Python for ML, Statistics, ML Algorithms, Deep Learning, NLP, CV, ML Ops, and GenAI. - Help design and update the AI/ML curriculum to incorporate current industry tools and best practices. - Guide students through hands-on AI/ML projects, provide technical direction, code reviews, and feedback....

Data Science professional with a proven track record in training Engineering, IT, Diploma, Polytechnic and Technical candidates. With over a 7 yrs of experience in Artificial Intelligence, Machine Learning, Big Data, and Cloud Computing, Specialise in delivering industry-oriented, hands-on training that equips candidates with the technical proficiency required in today's data-driven world.

Job Description: Machine Learning and Statistical Modelling Exploratory Analysis Core Programming Skills & Languages

As an AI/ML Engineer at our company, you will be responsible for building and deploying GenAI Models using techniques such as RAG and Fine Tuning. Your role will involve developing AI/ML algorithms to analyze large volumes of historical data, enabling predictions and recommendations. Additionally, you will implement and optimize deep learning models for generative tasks like image synthesis and voice synthesis. Key Responsibilities: - Collaborate with software engineers to integrate Generative AI models into production systems - Evaluate application cases and problem-solving potential of AI/ML algorithms, ranking them based on success likelihood - Comprehend data through exploration and visu...

As a Senior Manager in the Accounting Systems role at PwC, your primary focus will be on leading a team of problem solvers with extensive consulting and industry experience to help clients solve complex business issues from strategy to execution. Specifically, you will be responsible for leading ASC 606 implementations using tools like Zuora and other similar platforms. Your role will involve end-to-end implementation, from proposal building to UAT, collaborating closely with the US team and end clients. Some of your key responsibilities will include: - Implementing end-to-end ASC 606 revenue automation solutions - Providing support to clients for accounting standards compliance - Assisting ...

As part of this role, you will be responsible for the digitization and improvement of plant operations and efficiencies utilizing advanced automation and data analytics to merge Information Technology (IT) with operational Technology (OT). This is a unique opportunity to be part of a new team working on high-impact projects that involve big data analytics and machine learning to enhance manufacturing operations. Your key responsibilities will include: - Conducting in-house conceptual studies to develop advanced control system architecture - Designing advanced analytic solutions, testing them, and deploying them in plants - Leading data acquisition and extraction, data management, and applyin...

Trainer will help learners apply data-driven method in academic & industrial context -Conduct training on data preprocessing, statistical modelling, AI algorithm & visualisation -Develop practical exercise using real-world dataset & AI-driven DS tool Required Candidate profile The Trainer in Data Science with AI will be responsible for developing & delivering specialised training sessions covering advanced data analytics, machine learning models & AI-driven decision-making

As a Lead Data Analyst at Circle K India Data & Analytics team, you will play a crucial role in deploying analytics algorithms and tools on the chosen tech stack for efficient delivery. Your responsibilities will include evaluating the performance of categories and activities using advanced analytical methods, supporting stakeholders with actionable insights based on data, designing and measuring experiments, and conducting advanced analytics projects such as clustering and forecasting. You will also be tasked with building impactful dashboards to bring data insights to life. Key Responsibilities: - Evaluate performance of categories and activities using advanced analytical methods - Support...

As a Data Scientist, Risk Data Analytics at Fidelity International, you will play a crucial role in developing Data Science and Advanced Analytics solutions for the business. Your responsibilities will include: - Engaging with key stakeholders to understand various subject areas in the Global Risk Team such as Investment Risk, Non-Financial Risk, Enterprise Risk, Model Risk, and Enterprise Resilience. - Implementing advanced analytics solutions on On-Premises/Cloud platforms, developing proof-of-concepts, and collaborating with internal and external ecosystem to progress proof of concepts to production. - Collaborating with different internal teams like Data Lake, Data Engineering, DevOps/ML...

As an Associate Product Specialist at Mastercard, you will play a key role in the Consumer Acquisition & Engagement team within the Services department. Your focus will be on developing and enhancing data-driven marketing products to accelerate clients" marketing performance and business outcomes. **Key Responsibilities:** - Lead the design and execution of A/B tests, campaign analytics, and test-control methodologies. - Perform in-depth analysis on customer journeys, marketing funnels, and portfolio performance. - Develop predictive models to guide segmentation, personalization, and targeting strategies. - Provide thought leadership in marketing measurement and performance optimization. - T...

Role Overview: KLA is seeking a Data Scientist/ML Engineer with expertise in NLP, statistics, and Conversational AI. The ideal candidate will be proficient in Statistical Modelling, Machine Learning algorithms, and Conversational AI, with a strong background in data mining and running simulations. You will have a passion for uncovering solutions within large datasets and collaborating with business partners to enhance business outcomes. Key Responsibilities: - Build end-to-end ML systems, including traditional ML models and Conversational AI, and deploy them at scale. - Research and develop innovative statistical models and ML models for data analysis. - Develop and maintain RAG (Retrieval-A...

Role Overview: You will be responsible for utilizing your experience as a Data Scientist to build and deploy Machine Learning and Deep Learning models, with a focus on problem-solving skills. Your expertise will be crucial in developing Data Science use cases with significant impact for the business. Key Responsibilities: - Utilize deep learning-based algorithms for image and text data, as well as ML algorithms for structured datasets. - Demonstrate proficiency in computer vision libraries like OpenCV and Pillow, and NLP libraries such as Huggingface and Spacy. - Conceptualize and implement various deep neural network architectures using Python with Pytorch and Tensorflow. - Apply strong mat...

Role Overview: You will have the opportunity to work on cutting-edge AI projects focused on ultrasound applications. Your main responsibility will be developing AI algorithms for signal and image processing, machine learning, and deep learning. Collaborating with different teams, you will play a key role in turning research ideas into practical solutions. Key Responsibilities: - Develop AI algorithms for signals, images, and videos, specifically for ultrasound applications - Create machine learning and deep learning techniques for regression, classification, and statistical modeling - Explore various deep neural network architectures and transfer learning methods Qualification Required: - Ma...

As a Data Analyst specialized in collections and risk analytics, your role will involve developing and optimizing scorecards, early warning models, and segmentation frameworks to enhance recovery rates and reduce delinquencies. You will collaborate with risk, operations, and product teams to design data-backed strategies, conduct A/B tests, and monitor key collection KPIs. Your proficiency in SQL, Python, and BI tools is crucial, along with a solid understanding of collection workflows and analytics-driven decision-making. Key Responsibilities: - Develop, monitor, and enhance collection scorecards and early warning models to predict delinquency and optimize recovery efforts. - Perform vintag...

Day-to-day responsibilities include but not limited to: Working on Insurance Linked Securities (ILS) Support for individual deal analysis and catastrophe event response Designing and maintaining data systems and databases Optimization and portfolio management Deal pricing and claims reserving Mining data from primary and secondary sources, then reorganizing data Using Statistical tools to interpret data sets Preparing reports Statistics: 1. Basic Probability pdf, cdf, mean, mode, median, standard deviation 2. Monte Carlo simulations 3. Extreme Value theory 4. Statistical concepts central limit theorem, VAR, TVAR (Expected shortfall) Who can Apply ? Candidates with Actuarial science (3+ actua...

Day-to-day responsibilities include but not limited to: Support monthly portfolio analysis in vendor models Designing and maintaining data systems and databases Optimization and portfolio management D evelop and manage catastrophe event response Develop a process for reinsurance calculations and net retentions Mining data from primary and secondary sources, then reorganizing data Using Statistical tools to interpret data sets Preparing and automate monthly reports Statistics : Basic Probability pdf, cdf , mean, mode, median, standard deviation Monte Carlo simulations Extreme Value theory Statistical concepts central limit theorem, VAR, TVAR (Expected shortfall) Who can Apply ? Candidates wit...

As an AI Specialist/Software engineering professional at a middle to senior level, your role will involve utilizing AI-ML to analyze data and predict process behaviors. It is essential to stay updated on industry trends, emerging technologies, and best practices in data science. Your responsibilities will include providing recommendations for adopting innovative approaches within the product teams and fostering a data-driven culture through knowledge sharing and problem-solving collaboration. Key Responsibilities: - Utilize knowledge of data analysis, Artificial Intelligence (AI), and Machine Learning (ML) to prepare test reports demonstrating test results - Communicate effectively with a co...

Role Overview: You will be working as an Associate Architect - Machine Learning within the healthcare domain at Quantiphi. Your role will involve developing high-level solution architectures, collaborating with offshore teams to build and test models for predicting and optimizing business outcomes, and communicating insights to clients. Additionally, you will be responsible for building strong client relationships, mentoring senior resources, and leading technical discussions on architecture designing and troubleshooting. Key Responsibilities: - Develop high-level solution architectures and collaborate with offshore teams on model development, testing, and assessment - Communicate insights t...

As a Senior Specialist at Mastercard, you will play a crucial role in the Consumer Acquisition & Engagement team within Services. Your primary responsibility will be to lead the design and execution of A/B tests, campaign analytics, and test-control methodologies. Additionally, you will perform in-depth analysis on customer journeys, marketing funnels, and portfolio performance. Your expertise will be utilized to develop predictive models for segmentation, personalization, and targeting strategies. Your thought leadership in marketing measurement and performance optimization will be highly valued, along with your ability to translate insights into impactful business outcomes through effectiv...

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. **Key Responsibilities:** - Collaborate with cross-functional teams to design innovative AI solutions - Utilize analytical skills to address complex challenges in data - Mentor junior team members to enhance their technical capabilities - Build and maintain sturdy relationships with clients to understand their needs - Oversee the implementation of algorithms into self-sufficient applicatio...

As an I&F Decision Sci Practitioner Associate at Accenture, you will be aligned with the Insights & Intelligence vertical to generate insights using Artificial Intelligence (AI) and Analytics techniques. Your role will involve building solutions, solving business problems, and addressing technical challenges using AI platforms and technologies. You will be expected to create architectural foundations for AI applications and demonstrate expertise through activities like blogging, publishing research papers, and creating awareness in this field. Key Responsibilities: - Conduct analysis and solve complex problems - Interact with peers within Accenture and potentially with clients and/or Accentu...

Role Overview: As a Quant-researcher/trader working within the SM&D team, your main responsibility is to design and develop mathematical algorithms to support market analytics, execution strategies, pricing, hedging, pre/post trade analytics, and electronic liquidity offering to clients. Your role involves the full chain of activities from requirements gathering to implementation, productionization, optimization, monitoring, and support. Key Responsibilities: - Design and develop mathematical algorithms for market analytics, execution strategies, pricing, hedging, and pre/post trade analytics. - Create business logic and models for electronic liquidity offering to clients. - Proactively iden...

Job Description Role Overview: As an Analyst with 24 years of experience at Mastercard in Gurgaon, you will play a crucial role in leading the design and execution of A/B tests, campaign analytics, and test-control methodologies. Your responsibilities will involve performing in-depth analysis on customer journeys, marketing funnels, and portfolio performance, as well as developing predictive models to enhance segmentation, personalization, and targeting strategies. Additionally, you will be expected to provide thought leadership in marketing measurement and performance optimization, translating insights into actionable business impact through effective storytelling and stakeholder engagement...

As a seasoned Senior Business Analyst/Lead, your role involves excelling in client handling, innovative problem-solving, and delivering measurable business impact. Your strong understanding of business logic will enable you to work collaboratively with stakeholders, with prior experience in the Gaming industry considered a significant plus. Key Responsibilities: - Client Management: Handle client interactions, manage delivery expectations, and ensure effective communication with all stakeholders. - Problem Solving: Identify complex, ambiguous problems, break them down into manageable parts, and implement creative, data-driven solutions. - Metric Tracking: Define, track, and improve key busin...