108 Statistical Modelling Jobs

As a member of the Risk and Compliance - Actuarial Services team at PwC, your role involves collaborating with clients to understand and address their actuarial needs. You will be analyzing intricate actuarial data to provide insights and solutions, mentoring junior team members to enhance their technical skills, and maintaining exemplary standards in delivering actuarial services. Building and nurturing enduring client relationships, navigating complex situations with professional judgment, contributing to the development of actuarial methodologies, and engaging in discussions to tailor services to client requirements are also key responsibilities. **Key Responsibilities:** - Collaborating with clients to understand and address their actuarial needs - Analyzing intricate actuarial data to provide insights and solutions - Mentoring junior team members to enhance their technical skills - Maintaining exemplary standards in delivering actuarial services - Building and nurturing enduring client relationships - Navigating complex situations with professional judgment - Contributing to the development of actuarial methodologies - Engaging in discussions to tailor services to client requirements **Qualifications Required:** - Bachelor's Degree - 3 years of experience - Oral and written proficiency in English required At PwC, the focus is on maintaining regulatory compliance and managing risks for clients. In the actuarial services department, you will be responsible for analyzing and managing financial risks for clients through statistical modeling and data analysis. Your work will generate valuable insights and recommendations to help businesses make informed decisions and mitigate potential risks. Additionally, you will have the opportunity to specialize in actuarial and insurance services, contributing to the development of technical acumen and engaging in client discussions to address their needs. As part of the Risk and Compliance - Actuarial Services team, you will support large P&C clients and cross-industry clients with various projects, including audits, consulting, and mergers and acquisitions. As a Senior Associate, you will analyze complex problems, mentor others, and maintain elevated standards while building meaningful client connections and navigating ambiguity. When you join PwC Acceleration Centers (ACs), you will actively support various Acceleration Center services, from Advisory to Assurance, Tax, and Business Services. Engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. Participate in dynamic and digitally enabled training designed to grow your technical and professional skills. In summary, your role at PwC will involve collaborating with clients, analyzing data, mentoring junior team members, maintaining service standards, building client relationships, and contributing to the development of methodologies in the actuarial services department.,

Role Overview: As a Senior Analyst at Agoda based in Bangkok, Thailand, you will be responsible for translating internal briefs into analytical projects, analyzing data from multiple large-scale data warehouses, and identifying opportunities for growth within supply and the wider business. You will work closely with partners on the ground, drive new analytical initiatives, and lead projects aimed at improving organizational efficiency. Key Responsibilities: - Translate internal briefs into analytical projects, refining the initial brief, asking the right questions, working through potential hypotheses, and storyboarding the output - Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders - Proactively identify opportunities for growth within supply and the wider business - Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply - Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages data, insights, and intelligence - Automate manual operational processes and present back on time savings gained through modernization of business operations Qualifications Required: - At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI - Advanced working knowledge and hands-on experience in SQL - Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably) - Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R) - Bachelors degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance) - A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.) - Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite - Experience in conducting A/B testing experimentation - Strong experience in finding data insights and providing business recommendations to the business - Excellent communicator with superior written, verbal, presentation, and interpersonal communication skills - Data driven in both decision making and performance measurement - Extreme comfort in an ambiguous, fast-paced environment - Ability to multi-task, prioritize, and coordinate resources Additional Company Details: Agoda is an online travel booking platform that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. The company is based in Asia and part of Booking Holdings, with 7,100+ employees representing 95+ nationalities in 27 markets. Agoda fosters a work environment rich in diversity, creativity, and collaboration, innovating through a culture of experimentation and ownership to enhance the customer experience. Agoda's purpose is to bridge the world through travel, allowing people to enjoy, learn, and experience more of the amazing world we live in. The team at Agoda is united by a passion to make an impact, harnessing innovative technologies and strong partnerships to make travel easy and rewarding for everyone.,

Role Overview: At PwC, the focus in data and analytics is on leveraging data to drive insights and make informed business decisions. As a data analyst at PwC, your role will involve utilizing advanced analytics techniques to extract insights from large datasets and drive data-driven decision-making. You will be using skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. Key Responsibilities: - Respond effectively to the diverse perspectives, needs, and feelings of others. - Use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. - Use critical thinking to break down complex concepts. - Understand the broader objectives of your project or role and how your work fits into the overall strategy. - Develop a deeper understanding of the business context and how it is changing. - Use reflection to develop self-awareness, enhance strengths, and address development areas. - Interpret data to inform insights and recommendations. - Uphold and reinforce professional and technical standards. Qualifications Required: - Bachelor's Degree - 3 years of relevant experience - Master's Degree in Business Administration/Management, Economics, Finance, Mathematics, or Statistics (Preferred) - Demonstrated abilities in financial services products and services, quantitative models, macroeconomic and regulatory environment, business process design, balance sheet management, liquidity management, and related areas. Company Additional Details: To truly stand out at PwC and be fit for the future, each individual is expected to be a purpose-led and values-driven leader at every level. The PwC Professional framework provides a set of expectations across lines, geographies, and career paths, emphasizing the skills needed for success and career progression.,

Role Overview: As a Senior Analyst at Agoda based in Bangkok, Thailand, you will play a key role in the Supply Department. Your responsibilities will include translating internal briefs into analytical projects, using and analyzing data from multiple large-scale data warehouses, identifying opportunities for growth within supply and the wider business, driving new analytical initiatives, automating manual operational processes, and more. Key Responsibilities: - Translate internal briefs into analytical projects by refining the initial brief, asking the right questions, working through potential hypotheses, and storyboarding the output - Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders - Proactively identify opportunities for growth within supply and the wider business - Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply - Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence - Automate manual operational processes and present back on time savings gained through modernization of business operations Qualifications Required: - At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI - Advanced working knowledge and hands-on experience in SQL - Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably) - Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R) - Bachelors degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance) - A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.) - Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite - Experience in conducting A/B testing experimentation - Strong experience in finding data insights and providing business recommendations to the business - A hackers mindset the ability to build simple but clever and elegant solutions to new problems within significant resource, operational, and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping - Excellent communicator with superior written, verbal, presentation and interpersonal communication skills - Data-driven in both decision making and performance measurement - Extreme comfort in an ambiguous, fast-paced environment - Ability to multi-task, prioritize, and coordinate resources Additional Company Details: Agoda is an online travel booking platform that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. The company is based in Asia and part of Booking Holdings, with 7,100+ employees representing 95+ nationalities in 27 markets. Agoda fosters a work environment rich in diversity, creativity, and collaboration, and aims to make travel easy and rewarding for everyone.,

Role Overview: You will be responsible for developing Analytics Based Decision Making Frameworks for clients in the Banking and Insurance sectors. Additionally, you will handle project management, client management, and support business development and new analytics solution development activities. Key Responsibilities: - Develop Analytics Based Decision Making Frameworks for clients in the Banking and Insurance sector - Manage projects effectively - Build and maintain relationships with clients - Contribute to business development and new analytics solution development - Utilize statistical modeling techniques such as Logistic Regression, Linear Regression, GLM Modeling, Time-Series Forecasting, and Scorecard Development - Use Statistics tools like SAS, Python, and R - Experience in Tableau and Qlikview would be advantageous - Apply data mining techniques such as Clustering and Segmentation - Knowledge of machine learning and Python would be beneficial Qualifications Required: - Hold a B Tech degree from a top-tier engineering school or a Masters in Statistics/Economics from a reputed university - Possess a minimum of 6 years of relevant experience, with at least 1 year of managerial experience for the Senior Consultant position - Minimum experience required is 1 year for Associate Consultant and 3 years for Consultant roles Additional Company Details: EY is committed to creating an inclusive working environment and offers flexible working arrangements to help you achieve a work-life balance. The company values collaboration, problem-solving skills, and delivering practical solutions to complex issues. EY believes in providing training, opportunities, and creative freedom to its employees, with a focus on building a better working world.,

As a Tech Lead specializing in Data & Analytics, you will be responsible for the following: **Role Overview:** You will play a crucial role in handling and processing data efficiently, ensuring optimal performance and data integrity. Additionally, you will be involved in data analysis, statistical modeling, and visualization to derive meaningful insights for the organization. **Key Responsibilities:** - Proficient in SQL Server with a focus on query optimization. - Expertise in application data design and process management. - Extensive knowledge of data modeling techniques. - Hands-on experience with Azure Data Factory, Azure Synapse Analytics, and Microsoft Fabric. - Experience working with Azure Databricks. - Expertise in data warehouse development, including SSIS and SSAS. - Proficiency in ETL processes, data cleaning, and normalization. - Familiarity with big data technologies like Hadoop, Spark, and Kafka. - Understanding of data governance, compliance, and security within Azure environments. - Experience in data analysis, statistical modeling, and machine learning techniques. - Proficiency in analytical tools such as Python, R, and libraries like Pandas and NumPy. - Strong expertise in Power BI for data visualization, data modeling, and DAX queries. - Experience in implementing Row-Level Security in Power BI. - Ability to work with medium-complex data models and understand application data design quickly. - Familiar with industry best practices for Power BI and performance optimization. - Understanding of machine learning algorithms, including supervised, unsupervised, and deep learning techniques. **Qualifications Required:** - Ability to lead a team of 4-5 developers and take ownership of deliverables. - Commitment to continuous learning and staying updated with new technologies. - Strong communication skills in English, both written and verbal. - Effective interaction with customers during project implementation. - Capability to explain complex technical concepts to non-technical stakeholders. In addition to technical skills, the following skills are preferred for this role: - Data Management: SQL, Azure Synapse Analytics, Azure Analysis Service, Data Marts, Microsoft Fabric - ETL Tools: Azure Data Factory, Azure Databricks, Python, SSIS - Data Visualization: Power BI, DAX This comprehensive role requires a blend of technical expertise, leadership skills, and effective communication to drive successful data and analytics projects within the organization.,

Role Overview: As a Senior Principal Consultant-Data Scientist with AI and Generative Model experience at our company, you will be a crucial part of our team, focusing on developing and implementing data-driven solutions, AI-powered applications, and generative models. Your expertise in AI, specifically in building generative AI models using large language models, will play a key role in helping us achieve our ambitious goals and stay ahead of the competition. Key Responsibilities: - Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making. - Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT, and frameworks like RAG, Knowledge Graphs. - Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. - Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. - Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. - Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications Required: Minimum Qualifications: - Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. - Experience in data science, machine learning, AI applications, and generative AI modeling. - Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. - Proficient in statistical modeling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs. - Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. - Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. - Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ Skills: - Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. - Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance. - Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills. (Note: Omitted additional details of the company as it was not included in the provided job description),

As a Quant Analytics Treasury - Vice President at Barclays, you will be spearheading the evolution of the Risk function by developing best-in-class credit risk models using industry-leading frameworks and methodologies. You will work in a global quant team, collaborate with regulators worldwide, and utilize cutting-edge technology. Your role will also involve effective stakeholder management, leadership, and decision-making to support business strategy and risk management. **Key Responsibilities:** - Develop credit risk models such as Treasury Risk, Liquidity Modelling, Hedge accounting, ICAAP VAR Model, PRA110 liquidity reporting, and Model Implementation. - Utilize hands-on working knowledge in areas like IRRBB, RRP, TWD, Hedge accounting, FX rate risk, Balance-sheet Modelling, and Cash Flow Forecasting. - Demonstrate proficiency in technology, including recent coding experience in Python, Python-OOP, C/C++, and Version control methods. - Engage in Stress Testing/Scenarios Modelling, Model Development, Model Validation, Statistical Modelling, and understanding of regulatory frameworks. **Qualifications Required:** - Advanced Technical Degree (Master's / PhD) in Statistics, Engineering, Numerical Analysis, Mathematics, Physics, Econometrics, Financial Engineering, Computer Science, or Financial Mathematics. - Relevant certifications such as GARP-FRM, PRM, CQF, AI/ML Courses would be beneficial. - Experience with R, MATLAB, Numerix, and Database skills. - Strong experience in Stakeholder management, leadership, and decision-making to support business strategy and risk management. In this role, you will design, develop, implement, and support mathematical, statistical, and machine learning models and analytics for business decision-making. You will collaborate with technology to specify dependencies for analytical solutions, develop high-performing analytics solutions, and ensure conformance to all Barclays Enterprise Risk Management Policies. As a Vice President, you will contribute to setting strategy, drive requirements for change, manage resources and budgets, and ensure continuous improvements. You will demonstrate leadership behaviours aligned with the Barclays values and mindset, advise key stakeholders, manage risks, and collaborate with other teams to achieve business goals. All colleagues at Barclays are expected to embody the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as demonstrate the Barclays Mindset of Empower, Challenge, and Drive.,

As a Planning Lead at a high-growth consumer brand in the FMCG/Food & Beverage industry based in Mumbai, India, your role is crucial to driving the end-to-end integrated planning function. You will be responsible for balancing service levels, inventory health, and cost efficiency while enabling agile decision-making across the value chain. Key Responsibilities: - Supply Planning: Manage capacity, align material availability, lead run strategies, and optimize make vs. buy decisions. - Inventory Management: Deliver service KPIs while reducing waste, obsolescence, and inefficiencies. - Integrated Business Planning (IBP): Lead the monthly S&OP cycle and support scenario planning for business continuity. - System & Process Excellence: Champion planning tools (SAP APO/S4 HANA, O9, Kinaxis), drive automation, and support ERP transformation initiatives. To excel in this role, you should have 5-10 years of experience in supply chain planning, preferably in the FMCG or food & beverage sector, with a Masters from a tier 1 institute. You should be skilled in SAP, Power BI, and statistical modeling tools, with a proven ability to influence stakeholders and lead cross-functional teams. A degree in Engineering, Supply Chain, or Business Management would be advantageous. Desirable Traits: - Strategic thinker with execution excellence. - Ability to navigate ambiguity and bring clarity. - Passion for digital transformation and continuous improvement. This role offers you the opportunity to be part of a company that aims to delight millions with extraordinary experiences while building a future-ready supply chain focused on agility, innovation, and operational excellence.,

Role Overview: At PwC, the Data and Analytics team focuses on leveraging data to drive insights and make informed business decisions. As a Data Analyst, you will utilize advanced analytics techniques to help clients optimize their operations and achieve strategic goals. Your main focus will be on extracting insights from large datasets and driving data-driven decision-making. You will use skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. Key Responsibilities: - Respond effectively to the diverse perspectives, needs, and feelings of others. - Use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. - Use critical thinking to break down complex concepts. - Understand the broader objectives of your project or role and how your work fits into the overall strategy. - Develop a deeper understanding of the business context and how it is changing. - Use reflection to develop self-awareness, enhance strengths, and address development areas. - Interpret data to inform insights and recommendations. - Uphold and reinforce professional and technical standards, the Firm's code of conduct, and independence requirements. Qualifications Required: - Experience level 2-6 years of experience. - Location: Bangalore - AML & Transaction Monitoring Expertise: Strong background in AML audit, regulatory requirements, transaction monitoring typologies, red flag analysis, and hands-on experience with Actimize rules, KPIs, implementations, and controls. Skilled in validating transaction authenticity, aligning purpose codes with business activity/MCC classification, and assessing coverage of high-risk corridors and typologies against FATF, OFAC, regulatory expectations, industry red flags, and internal risk appetite. - Rule Logic & Optimization: Evaluate and enhance TM rule logic, thresholds, frequency, and alert performance through analysis of historical alerts, false positives, and SAR conversion rates. Conduct gap assessments to identify under-coverage, recommend calibration, ATL BTL testing, and review or drafting of Business Requirement Documents (BRDs) and technical documents to formalize monitoring enhancements. - Sanctions & Screening Knowledge: Understanding of OFAC, EU, UN, UK HMT sanctions regimes, sanction screening models (watchlist filtering, fuzzy matching, name screening, alert scoring), and familiarity with vendors like Fircosoft, Actimize WLF, Accuity, SafeWatch. Should have sound knowledge of model testing based on screening logic and fuzzy matching. - Fraud Model Validation & Controls: Expertise in fraud model audit and end-to-end validation, including variable selection, modeling approaches, calibration, performance metrics, and implementation. Ensure alignment with industry best practices and governance controls to strengthen fraud and AML monitoring frameworks. - Governance & Communication: Strong written and verbal skills to prepare validation reports, governance decks, and regulatory responses, with experience in ongoing monitoring, periodic reviews of sanction/fraud models, and false positives reduction techniques.,

As a Senior Consultant/Consultant Analytics at EY, you will have the opportunity to develop Analytics Based Decision Making Frameworks for clients in the Banking and Insurance sectors. Your key responsibilities will include project management, client management, and supporting business development and new analytics solution development activities. To succeed in this role, you will need domain expertise in either Banking or Insurance industries, along with proficiency in statistical modeling (including Logistic/Linear regression, GLM modeling, Time-series forecasting, and Scorecard development). Hands-on experience in statistics tools such as SAS, Python, and R is required, while familiarity with Tableau and Qlikview would be advantageous. Additionally, experience in data mining techniques like Clustering and Segmentation, as well as knowledge of machine learning and Python, will be beneficial. To qualify for this position, you should hold a B Tech from a top-tier engineering school or a Masters in Statistics/Economics from a reputable university. A minimum of 6 years of relevant experience is required, with at least 1 year of managerial experience for Senior Consultants, 1 year for Associate Consultants, and 3 years for Consultants. Ideal candidates will possess strong communication, facilitation, relationship-building, presentation, and negotiation skills. You should be adaptable, creative, and comfortable engaging with senior executives both within the firm and at client organizations. Strong leadership abilities and supervisory experience are essential. At EY, we value individuals who can collaborate effectively across various client departments while meeting commercial and legal requirements. Problem-solving skills and the ability to deliver practical solutions are key attributes we look for in potential team members. As an inclusive employer, EY is open to considering flexible working arrangements to support your personal priorities while delivering excellent client service. While travel may be required for client-facing roles, our flexible work options aim to help you achieve a healthy work-life balance. EY is a global leader in assurance, tax, transaction, and advisory services, dedicated to creating a better working world through innovative solutions and a supportive culture. By joining EY, you will have access to training, opportunities, and creative freedom that can have a lasting impact on your career. With a commitment to hiring and developing passionate individuals, EY aims to become the best employer by 2020. If you meet the qualifications and attributes outlined above and are eager to contribute to our team, we encourage you to contact us promptly to explore this exciting opportunity.,

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 develop 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: 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+ actuarial papers), FRM, or Statistics background. Well versed with statistical concepts. Proficient in advanced Excel, SQL and Python would be preferred Have relevant communication skills and multi-tasking skills and interests Prior experience in catastrophe portfolio modeling or reinsurance treaty modeling is preferred Education- MSC - Statistics, MA - Economics, Actuarial Science, Finance, FRM, CFA

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+ actuarial papers), FRM, CFA, CA Inter or Statistics background. Well versed with storm statistical concepts. Proficient in Microsoft suite including advanced Excel Exposure to SQL and Python would be preferred Have relevant communication skills and multi-tasking skills and interests.

As a Professional in Operations at Standard Chartered, you will be responsible for analyzing the comprehensive impact of financial crime-related regulatory matters on the relevant business area and its operations. Your key duties include ensuring that key changes to laws, rules, and regulations are effectively communicated and cascaded within the region or country in coordination with group communications. You will be required to regularly engage with business stakeholders to understand their requirements and address their concerns. In this role, you must be proficient in various technical skills such as problem-solving abilities, working independently and proactively, and possessing good communication skills. You should also have hands-on experience with programming solutions like SAS, SQL, R, Python, PySpark, HQL, relational databases such as Oracle, SQL Server, MySQL, DB2, and HaaS (Hadoop), as well as web-based application development tools like HTML, CSS, JavaScript frameworks, and web frameworks like Django or Flask. Furthermore, you will be expected to promote and embed a culture of openness, trust, and risk awareness among your team, where ethical, legal, regulatory, and policy-compliant conduct is the norm. You should have a strong understanding of risk management principles and apply risk and data analytic tools/techniques to optimize relevant detection scenarios and monitoring systems. To excel in this role, you must have domain skills including exposure to monitoring systems like DETICA and MANTAS, knowledge/experience with big data tools like Hadoop and Spark, and familiarity with machine learning algorithms/systems. Additionally, you should possess strong analytical and problem-solving expertise, excellent communication and documentation skills, and the ability to work collaboratively as part of a high-functioning team of financial intelligence specialists. Qualifications for this position include a postgraduate degree in Management/Statistics/Mathematics or a graduate degree in Engineering from a reputed institution. An active ACAMS/ICA/CFE certification is preferred, along with proficiency in English language skills. Join us at Standard Chartered, an international bank with a rich history of making a positive difference for clients, communities, and employees. If you are a quick learner with a desire to work in a purpose-driven environment, we invite you to be part of our inclusive and values-driven organization, where every talent is celebrated and respected. We are committed to supporting your growth and development through continuous learning opportunities and a range of benefits aimed at enhancing your overall well-being and work-life balance.,

On a typical day at XPO India Shared Services, you will be responsible for conceiving and developing end-to-end solutions with a focus on Data Science and Engineering. This will involve utilizing Artificial Intelligence, Machine Learning & Deep Learning Algorithms, Statistical Concepts, Data modelling, Generative AI, Software Development, Cloud Computing, and Visualizations. Your primary objective will be to troubleshoot technical issues in existing processes and current development work, seeking assistance from other roles and groups as needed to ensure the integrity of platform quality and project timelines. In addition, you will work on improving shared standard patterns, templates, and artifacts for data science platform architecture, data science development approaches, data models, new technology adoption, and rollout. Collaboration with upstream and downstream IT and business teams to identify and document use cases, performance and capability requirements, and criteria for successful solution delivery will also be an essential part of your role. Moreover, you will play a crucial role in mentoring other team members on technical skills, best practices, problem-solving approaches, and standard patterns used at XPO. Lastly, you will proactively generalize and share technical approaches and best practices among other developers, simplifying and communicating completed work to broader audiences across the company. To succeed in this role at XPO, you should have a minimum of a Bachelors or Master's degree in Computer Science, Data Science, Statistics, MIS, Engineering, Econometrics, Finance, Business, or a related field. You should also possess 3-5 years of Data Science experience in delivering business solutions that rely on data science, data analytics, artificial intelligence, or similar domains. Hands-on experience in delivering solutions in areas such as Data Modelling, Data Integration, Data Analysis, SQL, Data Science, Data Analysis, Geo Spatial, Finance, Econometrics, Cloud Computing, Big Data, and Database Management is required. Advanced knowledge of IT software development methodologies and processes in an agile environment is a plus. Exposure to Generative AI and LLMs will be beneficial. Transportation and logistics industry experience is also advantageous. In terms of technical skills, you should have solid experience applying analytical methods such as regression, data classification, reduction, Bayesian inference, or other advanced machine learning techniques. A deep understanding of statistical modelling, machine learning, deep learning, or data mining concepts is essential. Proficiency in technical database knowledge (BigQuery, Oracle) and experience optimizing SQL queries on large data is required. You should have advanced statistical theoretical and application experience. Additionally, proven experience in Exploratory Data Analysis and Visualization using R and Python (Numpy, Pandas, Scipy, Plotly, Matplotlib) is necessary. Familiarity with core principles of data modelling and data warehousing is expected. Expertise in handling complex SQL codes to deliver data-based solutions is crucial. Proficiency in Python, writing production-ready code, and a fundamental understanding of OOPs concepts are essential. Exposure to ML Platforms such as GCP, Azure, AWS is beneficial. Join XPO and be part of something big.,

As a Senior Consultant/Consultant Analytics at EY, you will have the opportunity to work with clients in the Banking and Insurance sectors to develop Analytics Based Decision Making Frameworks. Your role will involve project management, client management, supporting business development, and contributing to new analytics solution development activities. Key Responsibilities: - Develop Analytics Based Decision Making Frameworks for clients in the Banking and Insurance sectors - Project Management - Client Management - Support business development and new analytics solution development activities Skills and Attributes: - Domain expertise in Banking or Insurance - Proficiency in statistical modeling including Logistic/Linear regression, GLM modeling, Time-series forecasting, and Scorecard development - Hands-on experience in Statistics tools such as SAS, Python, and R - Experience in Tableau and Qlikview is a plus - Data mining experience including Clustering and Segmentation - Knowledge of machine learning and Python is advantageous To qualify for this role, you must have: - B Tech from top-tier engineering schools or Masters in Statistics/Economics from top universities - Minimum 6 years of relevant experience, with at least 1 year of managerial experience for Senior Consultant - Minimum 1 year of experience for Associate Consultant; Minimum 3 years for Consultant Preferred Qualifications: - Strong communication, facilitation, relationship-building, presentation, and negotiation skills - Flexibility, adaptability, and creativity - Comfortable interacting with senior executives - Strong leadership skills and supervisory responsibility What we look for: We seek individuals who can work collaboratively across client departments, adhere to commercial and legal requirements, and deliver practical solutions to complex problems. What working at EY offers: EY is committed to inclusivity and offers flexible working arrangements to achieve a balance between client service and personal priorities. Travel may be required for client-facing roles, but our flexible arrangements support a lifestyle balance. About EY: EY is a global leader in assurance, tax, transaction, and advisory services, dedicated to building a better working world. We provide training, opportunities, and creative freedom to empower our employees and make a lasting impact. Join us in our ambition to be the best employer by 2020. If you meet the criteria and are interested in this role, please contact us promptly.,

As a member of Team Amex at American Express, you will be part of a culture that values innovation, shared values, and Leadership Behaviors. With a 175-year history, we are committed to supporting our customers, communities, and colleagues. You will receive comprehensive support for your holistic well-being and numerous opportunities to enhance your skills, develop as a leader, and advance your career. Your voice and ideas will be valued, your work will have a meaningful impact, and together, we will shape the future of American Express. In this role, your primary responsibility will be to contact clients with overdue accounts to secure settlements while also engaging in preventive measures to avoid future overdues with high-exposure accounts. Additionally, you will be part of the Amex Offers team, a digital advertising platform connecting Merchants and brands with millions of American Express Card Members globally. Through strategic marketing partnerships, you will deliver value for Merchants and Advertisers, reaching high-spending Card Members in digital channels to provide deep insights and enhance results. American Express is currently seeking a commercially minded Director of International Advertiser Analytics & Optimization to lead the strategic analytics function supporting merchant partnerships and the scaling of proven AMEX Offers strategies. In this role, you will collaborate with various teams to develop data-driven insights that unlock growth opportunities, optimize campaign performance, and shape the CLO value proposition. You will interface with stakeholders in Australia, Canada, United Kingdom, and the United States, focusing on defining efficient growth opportunities, critical market nuances, and leading analytics capacity prioritization. Key Responsibilities: - Act as the analytics lead in strategic merchant/advertiser conversations, providing insights and ROI modeling in top markets. - Deliver post-campaign analysis and insights to quantify lift, incrementality, and customer behavior change. - Partner with various teams to refine and evolve the AmEx Offers & Digital Media value proposition. - Deliver insights to influence go-to-market strategies by identifying vertical-specific trends and priorities. - Lead and mentor a team of India-based analytics while fostering a culture of rigor, transparency, and intellectual curiosity. Minimum Qualifications: - 8+ years in media analytics, reporting, or performance measurement, ideally in ad tech, martech, or digital media. - Strong understanding of digital media KPIs, CLO campaign dynamics, and marketing measurement techniques. - Proficiency in SQL, Python, BI Tools (e.g., Tableau & Power BI). - Strong communication skills for presenting to C-level clients. - Foundation in statistical modeling, experimentation, and causal inference. - Leadership experience in leading analytics or insights teams. - Self-starter with the ability to drive insights, provide actionable steps, and deliver results. At American Express, we provide benefits that support your holistic well-being, including competitive salaries, bonus incentives, financial support, medical benefits, flexible working arrangements, paid parental leave, wellness programs, and career development opportunities. Join us in shaping the future of American Express and making a meaningful impact in the industry.,

As an Analyst, Data Science at Kenvue in Bengaluru, India, you will be responsible for developing and implementing advanced analytics, optimization models, and machine learning solutions to address complex Operations Research business challenges. Working closely with cross-functional teams, you will analyze large datasets, identify patterns, and generate insights to drive business value. Your key responsibilities will include: - Developing, refining, and reviewing mathematical models for supply chain systems such as inventory management, production planning, transportation logistics, and distribution networks. - Applying advanced optimization techniques like linear programming, integer programming, network flow, simulation, and heuristic algorithms to solve intricate supply chain problems. - Collaborating with stakeholders to understand business objectives, constraints, and requirements and translating them into mathematical models and optimization problems. - Working with data scientists and business analysts to gather and preprocess data from various sources, ensuring data accuracy and integrity. - Analyzing large datasets, extracting relevant information, and identifying patterns and trends to support decision-making processes. - Following code versioning through tools like Bitbucket/GIT and documenting work on Confluence. - Building APIs for seamless integration with applications. - Keeping up-to-date with the latest developments in operations research, supply chain management, and optimization techniques. - Conducting research and exploring innovative approaches to address supply chain challenges and drive continuous improvement. What We Are Looking For: Required Qualifications: - Masters degree in Industrial Engineering, Operations Research, or Management Science or related field. - 2-4 years of business experience. - At least 2 years of experience in Supply Chain Optimization. - Proficiency in mathematical modeling and optimization techniques, including linear programming, integer programming, network flow, simulation, and heuristic algorithms. - Strong programming skills in languages like Python, experience in optimization libraries (e.g., Gurobi, FICO), and data manipulation tools (e.g., pandas, NumPy). - Experience with data analysis, statistical modeling, and visualization tools like SQL, Streamlit. - Hands-on Python programmer with a strong understanding of OOPs. - Knowledge of supply chain concepts like demand forecasting, inventory management, production planning, transportation logistics, and distribution networks. Desired Qualifications: - APICS certification (CPIM, CSCP). - Microsoft certification (e.g., Azure Fundamentals). - Machine Learning certification. If you are passionate about leveraging your expertise in data science and optimization to make a meaningful impact on supply chain operations, we invite you to join our team at Kenvue in Bengaluru, India.,

Our client, a multinational alcoholic beverage company, is seeking a Data Analytics Head to drive key analytics initiatives, support executive decision-making, and ensure smooth data management processes across the organization. Responsibilities include leading the development and delivery of key analytics projects aligned with the business strategy, managing data sources and ensuring consistency, implementing master data management processes, collaborating with stakeholders to design tools, maintaining data warehouse solutions, enabling efficient data exchange, delivering accurate reports and insights, applying advanced analytics tools, tracking key performance metrics, and optimizing the use of analytics techniques. This position is based onsite in Bangalore for a duration of 3 months (extendable) on a full-time basis. Qualifications & Experience: - Graduate degree in Statistics, Economics, Quantitative Sciences, Engineering, or equivalent; Masters degree or MBA preferred. - 12-15 years of experience in a similar background, with 7-10 years of experience in leading analytics teams. - Strong knowledge of data modeling, business analytics, decision trees, cluster analysis, and analytics tools. - Experience in master data management, data warehousing, and database management systems. - Proven ability to design and implement solutions aligned with business needs and global standards. Key Skills: - Expertise in Data Analytics Tools and Techniques. - Advanced knowledge in Statistical Modelling and Optimization. - Strong experience in developing and maintaining reporting systems and dashboards. - Ability to drive efficiency through data-driven insights. - Excellent communication and collaboration skills. - Strong leadership skills to manage and develop a high-performing analytics team.,

You will be working as an Assistant Consultant in Operations Process & Analytics focusing on Warehousing & Distribution Centers Design. Your main responsibilities will include: - Meeting with clients to understand their requirements and issues. - Creating Work Scope Document and Commercial Offer Letter. - Conducting pre-design site studies and audits of existing facilities and processes. - Developing Data Collection Templates for data analysis and design. - Mapping current processes and future processes. - Analyzing Inventory and Throughput Data using Statistical Modelling. - Designing Warehousing Process, Intra-Warehouse, and Infrastructure Solutions to enhance efficiency. - Providing specifications to Project Designers for detailed Auto CAD drawings. - Coordinating with Vendors for equipment supply and installation. - Creating and monitoring project schedules. - Writing Standard Operating Procedures (SOPs). - Preparing detailed reports and presentations on requirements, challenges, design approach, process flow charts, and more. - Responding to RFQs for 3PL clients including Data Analysis, Resource Calculation, and Costing. - Developing Case Studies for handled projects. - Conducting site visits and managing vendors during implementation. - Inspecting and certifying commissioning. - Providing Client Servicing and Support. To excel in this role, you should have a comprehensive understanding of warehousing and transport operations, physical and system processes, resources, fit-outs, and infrastructure. If you are interested in this position, please send your CV to info@xcelhrsolutions.com.,

We are looking for an experienced Data Scientist with a strong hold on Machine Learning and Deep Learning model building, deployment and problem-solving skills. You should have excellent skills in Deep learning-based algorithms with image and text data and ML algorithms with structured datasets. A strong hold on computer vision libraries like OpenCV and Pillow and NLP libraries like Huggingface and Spacy is required. You should be able to conceptualize and implement different deep neural network architectures in Python using Pytorch and Tensorflow. A strong mathematical statistical understanding behind the algorithms is necessary. Your responsibilities will include ideating, conceptualizing, and formulating Data Science use cases of significant impact for the business. You will develop and evaluate various Machine Learning models before zeroing in on the best one and have the ability to run Machine Learning models on a huge amount of data. Driving discussions with Business to ensure complete understanding with respect to the data science use case and gaining and demonstrating Data and Domain knowledge are crucial aspects of the role. You will evaluate the Data Quality and Metadata information of Key Data Elements before any modeling effort to ensure minimal surprises in the later part of the project. Designing holistic data science solutions covering Descriptive, Predictive & Prescriptive analytics, and building reusable ML code for faster turnaround time to business problem-solving are key responsibilities. You should be able to explain the Machine Learning model implementation to business stakeholders in a way that they can understand and appreciate the solution. Building storytelling dashboards to make all insights and model output available to end users in a form that is highly helpful for decision-making is essential. Managing relationships with business stakeholders and acting as an embedded data scientist, constantly thinking about data science solutions to make business better, is also part of the role. Key Skills Required: - Python, Pytorch, Tensorflow, OpenCV, Scikit Learn, Pandas, and Numpy - Flask, Django, AWS - Deep Learning including CNNs, Transformers, and RNNs - Statistical Modelling About Company: Soulpage IT Solutions Pvt. Ltd. SOULPAGE is a Data Science Technology company based in Hyderabad, India. A simple organization with a strong commitment to customer service. We are committed to helping enterprises explore unventured technical avenues to tap unprecedented value creation. Our effort is to provide innovative software solutions using the latest technological advancements in the areas of automation, Data Science, AI, and application development for our clients to stay relevant and adapt to changing times.,

You are an experienced Deputy Manager responsible for leading workforce planning and capacity analytics for a large-scale global contact centre. Your role involves utilizing your expertise in forecasting, statistical modelling, and labour planning to enhance operational efficiency and make strategic workforce decisions. Your key responsibilities include building and managing advanced forecasting models using techniques like linear and multi-variant regression and moving averages. You will also lead initiatives for labour, seat, and resource planning, aiming to identify productivity gaps and operational variances. Working with large datasets is essential to extract meaningful insights, trends, and interdependencies. Collaboration with cross-functional teams such as Operations, HR, and Finance is crucial to align headcount and resource planning. Additionally, you will be responsible for delivering strategic presentations and data-driven reports to senior leadership and ensuring continuous improvement and up-to-date processes for planning tools. To excel in this role, you should hold a Bachelor's degree or higher in Business, Mathematics, Statistics, or a related field and have at least 6-9 years of hands-on experience in workforce analytics, capacity planning, and forecasting. Strong proficiency in Excel is required, and experience with tools like NICE, Aspect, Anaplan, or similar is preferred. A deep understanding of productivity modelling, task timing, and workload variance is essential, along with strong analytical, problem-solving, and communication skills. Prior experience in BPO, Contact Centre, or Shared Services environments is highly desirable. If you are interested in this exciting opportunity, you can apply directly or share your resume at sathishkumar@gojobs.biz.,

You are a strategic thinker passionate about driving solutions in trading analytics and strategy. You have found the right team. As a Trading Analytics and Strategy Analyst within the Global Trading Analytics and Strategy team, you will be focused on the quantitative analysis of trading performance and strategy development. This involves detailed transaction cost analysis (TCA), design of systematic trading strategies, and supporting the ongoing trading process. You will have the opportunity to work with a global team and use a global trading analytics platform. Your key responsibilities will include conducting trading research projects, co-developing and assisting in the implementation of systematic trading systems/strategies, and managing the health and development of the analytics platform for the US region. This role provides a great opportunity to enhance your skills in data analytics, SQL/database queries, and financial data analysis. Job Responsibilities: - Conduct trading research projects to enhance the overall investment process - Co-develop and assist in the implementation of systematic trading systems/strategies with traders and technology teams - Enhance the tools and processes used to monitor the performance of brokers, traders, and strategies - Manage the health and development of the analytics platform for the US region (e.g. OMS/EMS data feeds and market data services) - Perform independent research by analyzing large datasets, especially tick data and drawing actionable insights Required qualifications, capabilities, and skills: - Professional experience in a programming language for data analytics (Python/R/Matlab) - Proficiency in constructing and analyzing SQL/database queries - Experience in a trading, strategist, or analytics role - Ability to present ideas in a clear and concise manner to traders and senior investors - Good understanding of US equity market microstructure - Good understanding of technology development methods and strong working relationships with technology teams in delivering large-scale projects - Hands-on experience in statistical modeling, time series analysis, and exploratory data analysis on financial data Preferred qualifications, capabilities, and skills: - CFA / CQF - Knowledge and experience in machine learning - Knowledge and experience in various OMS/EMS data models - Past experience working in global teams,

You will work with cross-functional and cross-regional teams for data analysis, monitoring, and forecasting. You will be responsible for creating logic for implementing strategies, providing requirements to data scientists and technology teams, and communicating with global stakeholders to ensure the best possible customer experience. As a technical expert on complex subjects, you will support management in analyzing, interpreting, and applying complex information to achieve divisional and corporate goals. You will lead projects by applying your expertise and lead the development and implementation of advanced analytical models and algorithms to support decision-making processes. Your responsibilities will include utilizing statistical analysis and machine learning techniques to extract insights from large datasets, collaborating with business stakeholders to understand their needs and translate them into actionable solutions, designing and conducting experiments to test hypotheses, and evaluating the effectiveness of strategies. Additionally, you will mentor and coach junior team members, communicate findings and recommendations to stakeholders through data visualization, reports, and presentations, stay updated on the latest advancements in data science and technology trends, and evaluate their potential impact on the business. To qualify for this role, you should have a Master's or Ph.D. degree in Statistics, Mathematics, Operations Research, Economics, Computer Science, or a related field. You should have 4-8 years of experience in data analysis, statistical modeling, and machine learning, with proficiency in programming languages such as Python, R, or SQL. Experience with statistical analysis tools and libraries, strong quantitative methods understanding, and cloud technologies (especially Azure) experience is preferred. Strong communication and interpersonal skills are essential for collaborating with cross-functional teams and influencing decision-making processes. Prior experience in a senior-level role is preferred, along with analytical skills, accuracy, attention to detail, planning and organizing skills, influencing and persuasion skills, and presentation skills. FedEx is an equal opportunity/affirmative action employer committed to a diverse, equitable, and inclusive workforce. Regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy, physical or mental disability, or any other characteristic protected by laws, regulations, and ordinances, all qualified applicants will be considered for employment. FedEx is a global transportation company that values its team members and upholds the People-Service-Profit philosophy. The company's success is attributed to its culture, which encourages innovation, quality service delivery, and employee well-being. FedEx's culture and values have been pivotal since its inception and continue to drive its success in the global marketplace.,

You will work collaboratively with cross-functional and cross-regional teams to conduct data analysis, monitoring, and forecasting. Your role will involve creating logic for implementing strategies, providing requirements to data scientists and technology teams on attribute, model, and platform needs, and ensuring effective communication with global stakeholders to enhance customer experience. As a Grade 14 employee, you will be required to act as a technical expert on complex and specialist subjects. Your expertise will support management in analyzing, interpreting, and applying complex information to contribute to the divisional and corporate goals. Additionally, you may support or lead projects by utilizing your specialized knowledge. Your main responsibilities will include leading the development and implementation of advanced analytical models and algorithms to facilitate decision-making processes. You will apply statistical analysis and machine learning techniques to derive insights from large and intricate datasets. Collaborating with business stakeholders, you will translate their needs into actionable analytical solutions. Furthermore, you will design and conduct experiments to evaluate the effectiveness of strategies and interventions, mentor junior team members, and communicate findings to stakeholders through data visualization, reports, and presentations. We are seeking candidates with a Master's or Ph.D. degree in Statistics, Mathematics, Operations Research, Economics, Computer Science, or a related field. The ideal candidate will have 4-8 years of experience in data analysis, statistical modeling, and machine learning, demonstrating a history of delivering actionable insights and solutions. Proficiency in programming languages like Python, R, or SQL, along with experience in statistical analysis tools and libraries, is preferred. A strong grasp of quantitative methods, including regression analysis, time series analysis, optimization, and experimental design, is essential. Experience working with Cloud Technologies, particularly Azure, is advantageous. Excellent communication, interpersonal skills, and the ability to collaborate effectively with diverse teams are crucial. Prior experience in a senior-level role is desirable. FedEx is an equal opportunity/affirmative action employer committed to fostering a diverse, equitable, and inclusive workforce. Regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy, physical or mental disability, or any other protected characteristic, all qualified applicants will be considered for employment. FedEx, a global express transportation company, is dedicated to providing exceptional service and business solutions to customers across more than 220 countries and territories. The company's success is attributed to its outstanding team of FedEx team members who strive to deliver exceptional experiences daily. The People-Service-Profit (P-S-P) philosophy guides every decision and activity at FedEx. By prioritizing the well-being of its people, FedEx ensures impeccable service for customers, leading to profitability that secures the company's future. Reinvesting profits into the business and its employees is integral to the P-S-P philosophy, creating an environment where team members are encouraged to innovate and deliver high-quality service. FedEx values its employees" well-being and recognizes their contributions to the company's success. FedEx's culture, rooted in its values and behaviors, has been instrumental in the company's growth and success. The unique culture sets FedEx apart in the global marketplace, emphasizing the importance of authenticity and integrity in all aspects of its operations.,