72 Statistical Modelling Jobs

Wipro Limited is a prominent technology services and consulting company dedicated to creating innovative solutions that cater to the most intricate digital transformation requirements of clients. With a comprehensive range of capabilities in consulting, design, engineering, and operations, we assist clients in achieving their most ambitious goals and establishing sustainable businesses for the future. Our global team of over 230,000 employees and business partners in 65 countries is committed to helping customers, colleagues, and communities thrive in an ever-evolving world. For more details, please visit our website at www.wipro.com. With a career spanning over 10 years, you have consistently focused on data science and have successfully implemented at least two production-grade Generative AI solutions. You possess hands-on experience with Agentic AI frameworks and are an expert in Robotics, encompassing Multiagent Systems, Automated Planning & Scheduling, Intelligence, and Orchestration. Your proficiency in AI & ML includes knowledge of Supervised and Unsupervised Learning, Neural Networks, Large Language Models (LLMs), as well as Full-stack Software Engineering and System Design. Your track record demonstrates the ability to leverage emerging technologies to tackle complex business challenges. Your technical expertise covers a wide range of tools and platforms including Python, FastAPI, Ollama, RDBMS (PostgreSQL), Message Brokers, UI Frameworks (Angular, Streamlit), Robot Operating System (ROS), AI/ML Python frameworks (scikit-learn, PyTorch, etc.), AWS, Azure, and Git. You are recognized as an authority in machine learning, Generative AI, LLMs, SLMS, and Agents, with a particular focus on computer vision, deep learning, and statistical modeling. Your leadership in innovative projects involving video analytics, face recognition, and retail analytics using tools such as OpenCV and Point Cloud Libraries is commendable. Your extensive knowledge encompasses various areas such as robot kinematics, navigation, planning, multi-agent orchestration, neural networks, software engineering, architecture, OOP, and the Git ecosystem. You bring a wealth of experience in techno-functional product and project management, contributing significantly to vital research and business decisions. Keeping abreast of the latest technological advancements is second nature to you, and your foundation in Computer Vision, AI, ML/DL, Generative AI, Large Language Models, and Agentic AI is solid. Having gained experience from product-based companies and being academically inclined from IIT, you possess a strong background in Machine Learning. With 8-10 years of experience, you are well-equipped to thrive in an environment that values reinvention and continuous evolution. At Wipro, we are reshaping the future by empowering individuals like you to redefine themselves, their careers, and their skills. Join us in building a modern Wipro and realize your aspirations. We welcome applications from individuals with disabilities.,

The Head of Collections Analytics and Insights is responsible at a global level for analysis and insight with relation to collection performance and strategy and provides actionable insights to improve debt recovery and minimize losses. You will report into the Global Head of Collections. This role requires strong leadership, analytical skills, and the ability to translate data into practical solutions for optimizing collections processes and customer treatment strategies. You will be responsible for establishing performance metrics and monitoring systems for the team and individual performance. You will define and establish innovative collection KPIs and dashboards to drive efficiency and effectiveness usage including new digital collection methods and channels. Your role will involve driving the standardisation of Collection report suite including innovative techniques and format to provide insightful management decisions. You will leverage new and innovative management information systems for delivery to management and stakeholders. As the Head of Collections Analytics and Insights, you will serve as the single point of contact for the Global Collection Head and Cluster Heads to receive insights and analysis. You will explore Analytics as a tool to produce high-quality management information (relevant and accurate) for the use of the function. Your responsibilities will also include standardising and automating processes to ensure efficiency, supporting and educating business stakeholders to understand collection key performance indicators, and creating capabilities to do predictive analysis to leverage data and through new technologies. You will lead process mapping, documentation, and standardization to support seamless migration. Your role will involve identifying process gaps or localization requirements to ensure smooth vendor adoption, coordinating readiness activities, parallel runs, and cutovers to minimize disruption, and supporting the development of robust knowledge transfer plans and training materials. In terms of people and talent management, you will foster strong collaboration across global, regional, and country teams to align objectives and manage change. You will coach, train, and support stakeholders to self-serve in an effort to understand collection efficiency and effectiveness and the relevant levers to pull in order to improve. Your role will also entail identifying and mitigating operational, reputational, and customer risks related to collection performance and reporting. You will ensure all management information meets regulatory requirements, and internal controls, and partner with Operational Risk, Compliance, and Audit to proactively address regulatory and risk concerns. You will be responsible for developing and maintaining migration project governance frameworks, ensuring clear accountability and decision rights, establishing robust reporting and escalation channels for senior management and steering committees, and monitoring migration progress against scope, timeline, budget, and risk mitigation plans. You will ensure all regulatory and internal approvals are secured before transition execution. As the Head of Collections Analytics and Insights, you will display exemplary conduct and live by the Groups Values and Code of Conduct. You will take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines, and the Group Code of Conduct. You will effectively and collaboratively identify, escalate, mitigate, and resolve risk, conduct, and compliance matters. Key stakeholders for this role include the Global Head of Collections & Recovery, Country and Cluster Heads of Collections, Credit Risk Management team, Product Team, and Risk Operations. In addition to the above responsibilities, you will embed Here for good and Standard Chartered's brand and values in India, Malaysia, and WRB Collections & Recovery, and perform other responsibilities assigned under Group, Country, Business, or Functional policies and procedures. Qualifications: - Education: Bachelors or Masters degree in Business Administration, Operations Management, Risk Management, or related field. - Training: Certifications in AI/ML, Data engineering are a plus. - Languages: English Skills and Experience: - Understanding of business operations and the financial impact of collections performance. - Expertise in data analysis, statistical modeling, and data visualization. - Ability to effectively communicate complex data insights to both technical and non-technical audiences. - Ability to identify and solve complex problems related to collections performance. - Knowledge of collections processes and regulations: Familiarity with collections best practices and relevant regulations. - Ability to manage multiple workstreams and priorities in a complex environment. - Excellent influencing and stakeholder management skills. About Standard Chartered: Standard Chartered is an international bank that is nimble enough to act and big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge, and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviors. When you work with us, you'll see how we value difference and advocate inclusion. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits. A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual, and digital learning. Being part of an inclusive and values-driven organization, one that embraces and celebrates our unique diversity, across our teams, business functions, and geographies - everyone feels respected and can realize their full potential.,

As a Software Engineering Manager at Autodesk, you will lead a team of skilled engineers within the Analytics Data Group to develop and maintain a cutting-edge machine learning platform. Your primary responsibility will be to drive the technical strategy, execution, and delivery of scalable AI/ML solutions. This will involve collaborating closely with Product Managers to shape the platform roadmap and ensure alignment with organizational goals. In this role, you will mentor engineers, collaborate with various teams including product management, data science, and cloud infrastructure, and provide technical guidance to drive crucial technology decisions. Your expertise in AI/ML technologies will be essential in designing and architecting scalable, reliable, and efficient systems while adhering to best practices in software development and security standards. You will be expected to manage project timelines, allocate resources effectively, and foster a culture of innovation, agility, collaboration, and continuous improvement within the engineering team. Additionally, active participation in the hiring process to attract top-tier engineering talent will be crucial to ensure the team possesses the necessary skills to execute on the AI/ML platform vision. The ideal candidate for this role should have a BS/MS in Computer Science or a related field, with at least 12 years of software engineering experience, including 3 years in a management role. Strong leadership skills, experience in AI/ML technologies, cloud services, agile methodologies, and excellent communication skills are essential for success in this position. Preferred qualifications include familiarity with cloud platforms such as AWS, Azure, or Google Cloud, experience in building AI/ML platforms, and understanding of MLOps principles for effectively managing and automating machine learning workflows. Join Autodesk and be part of a culture that values innovation, collaboration, and diversity. Shape the world and your future with us by doing meaningful work that helps build a better world for all. Salary and compensation packages are competitive and based on experience and geographic location. Autodesk is committed to fostering a culture of belonging where everyone can thrive. Learn more about our diversity and belonging initiatives here: [Autodesk Diversity and Belonging](https://www.autodesk.com/company/diversity-and-belonging),

At PwC, our team members specializing in data and analytics are dedicated to utilizing data effectively to derive insights and support strategic decision-making for our clients. By employing cutting-edge analytics techniques, we assist clients in optimizing their operations and achieving their long-term objectives. As a data analyst at PwC, your primary focus will involve extracting valuable insights from extensive datasets and facilitating data-informed decision-making processes. Your role will entail utilizing skills in data manipulation, visualization, and statistical modeling to assist clients in resolving intricate business challenges. Embodying a sense of curiosity and reliability, you are an integral part of a dynamic team. In our fast-paced setting, adaptability is crucial as you collaborate with a diverse range of clients and team members, each presenting unique challenges and opportunities for growth. Every interaction serves as a chance for personal and professional development. Taking ownership of your tasks, you are expected to consistently deliver high-quality work that not only adds value to our clients but also contributes to our collective success. As you progress within the organization, you have the opportunity to establish your reputation and create pathways to further growth and advancement. Key Skills: - Maintain a learning mindset and proactively drive your own development. - Value and respect diverse perspectives, needs, and emotions of others. - Foster habits that sustain peak performance and nurture your potential. - Engage in active listening, ask clarifying questions, and articulate thoughts effectively. - Seek, reflect upon, act upon, and provide constructive feedback. - Employ information from various sources to analyze data and identify trends. - Demonstrate a commitment to understanding business operations and enhancing commercial acumen. - Adhere to professional and technical standards, such as specific PwC tax and audit guidelines, and uphold the Firm's ethical code and independence requirements. Minimum Years Experience Required: [Please insert relevant information here] Additional Application Instructions: [Please insert any additional instructions here],

The successful candidate will be part of highly productive teams working on implementing core AI algorithms, Cryptography libraries, AI enabled products, and intelligent 3D interfaces. You will work on cutting edge products and technologies in highly challenging domains and will need to have the highest level of commitment and interest to learn new technologies and domain-specific subject matter very quickly. Successful completion of projects will require travel and working in remote locations with customers for extended periods. Your skillset and expertise should include: - Strong software development experience using Python - Strong background in mathematical, numerical, and scientific computing using Python - Knowledge in Artificial Intelligence / Machine learning - Experience working with SCRUM software development methodology - Strong experience with implementing Web services, Web clients, and JSON protocol is required - Experience with Python Meta programming - Strong analytical and problem-solving skills - Design, develop, and debug enterprise-grade software products and systems - Software systems testing methodology, including writing and execution of test plans, debugging, and testing scripts and tools - Excellent written and verbal communication skills; Proficiency in English. Verbal communication in Hindi and other local Indian languages - Ability to effectively communicate product design, functionality, and status to management, customers, and other stakeholders - Highest level of integrity and work ethic Frameworks you should be familiar with include: - Scikit-learn - Tensorflow - Keras - OpenCV - Django - CUDA - ReactJS - SVN - Apache Kafka Your mathematics background should cover: - Advanced Calculus - Numerical Analysis - Complex Function Theory - Probability You should be familiar with one or more of the following concepts: - OpenGL-based 3D programming - Cryptography - Artificial Intelligence (AI) Algorithms - Statistical modeling - DNN - RNN - LSTM - GAN - CNN Education Qualification: Bachelor, Master, or PhD degree in Computer Science, Mathematics, Electronics, Information Systems from a reputed university and/or equivalent Knowledge and Skills Location: Hyderabad, Bengaluru, Delhi, If needed Client Locations Please send your resume to hr@meslova.com,

We are looking for a Data Analyst with over 5 years of experience to join our team at our new office in Infopark, Kochi. As a Data Analyst in our AdTech industry, you will play a crucial role in leveraging your expertise in programming, statistical modeling, and data visualization to extract valuable insights from complex datasets. Your contributions will directly impact our Indian operations" growth and success. Your responsibilities will include collecting, cleaning, and analyzing large datasets using SQL and Python. You will be tasked with building and implementing machine learning models, performing data segmentation, clustering, and predictive modeling to identify trends and business opportunities. Additionally, you will evaluate model performance using statistical and machine learning metrics, develop Power BI dashboards, and collaborate with cross-functional teams to translate data insights into actionable business strategies. To qualify for this role, you should hold a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field. Proficiency in Python (pandas, NumPy, scikit-learn, stats models) and advanced SQL skills are essential for data manipulation and modeling. Experience with supervised and unsupervised learning, segmentation, clustering methods, predictive modeling, and model evaluation metrics is required. Hands-on experience with Power BI for creating dashboards and strong analytical skills are also necessary. Joining our team means working in a fast-paced, data-driven environment with real impact on growth. You will be part of a new chapter in a fast-growing multinational company, enjoying a competitive salary, excellent benefits, and hybrid work options. Located in Infopark, Kochi, surrounded by top IT companies, this opportunity offers a chance to be part of something new and grow with us. If you meet the qualifications and are excited about this opportunity, apply now by sending your resume to careers@firstscreen.com or DM us for more details. Join us on this journey of growth and innovation!,

As a Senior Specialist at Mastercard, you will play a crucial role in the Consumer Acquisition & Engagement team within Services, an organization dedicated to developing innovative marketing solutions that enhance client performance. With 6-8 years of experience in Analytics, Marketing Science, or Data Science, you will lead the design and implementation of various analytical methodologies to drive marketing strategies and business outcomes. Your responsibilities will include conducting A/B tests, analyzing customer journeys and marketing funnels, and developing predictive models for segmentation and targeting. You will also provide thought leadership in marketing measurement and optimization, translating insights into actionable strategies through effective communication and stakeholder engagement. Mentoring junior analysts and collaborating with cross-functional teams will be essential in ensuring the success of data-driven initiatives. To excel in this role, you should possess an undergraduate degree along with deep analytical expertise in consulting or data science, with a focus on marketing analytics. Proficiency in tools like SQL, Python, R, or SAS is required, along with a solid understanding of business KPIs, financials, and statistical modeling. Your ability to generate innovative solutions, communicate insights effectively, and manage multiple tasks in a fast-paced environment will be key to your success. Preferred qualifications include experience in digital marketing, customer analytics, or the use of GenAI tools for marketing insights. A Masters degree in Data Science, Statistics, Econometrics, or related field would be advantageous. Additionally, strong security practices and compliance with Mastercard's security policies are essential to safeguarding sensitive information and assets. If you are a data-driven professional with a passion for marketing analytics and a desire to shape the future of consumer engagement, we invite you to join our team in Gurgaon and contribute to the growth and success of Mastercard's innovative solutions.,

The Risk Data Validation & Control (RDV&C) team at Deutsche Bank is seeking a Risk Data Validation & Control (RDV&C) professional to join their team in Pune, India. As part of the Credit Risk Data Unit (CRDU) team within Group Finance, you will be responsible for quality assurance activities related to critical, complex, and technical risks and regulatory topics that impact Deutsche Bank. Your key stakeholders will include Business Finance, Risk Management (CRM/MRM), Group Reporting, Regulatory Policy Adherence Group, and Production IT Support. As a member of the RDV&C team, you will be responsible for completing required month-end quality assurance controls, validating variances, conducting Credit Risk RWA Exposure Analysis, leveraging exposure regulatory metrics, and calculating exposure in relevant platforms. You will also be expected to navigate through complex algorithms in the risk engine to perform root cause analysis on exposure calculations and proactively manage the investigation and resolution of month-end issues on regulatory metrics. To excel in this role, you should have a good knowledge of regulatory requirements such as ECB CRR, CRD, and Basel requirements, as well as an understanding of exposure calculation under different models like SA-CCR and IMM. Additionally, knowledge of exposure metrics like EPE/EE, statistical modeling (Monte Carlo Simulation, etc.), and strong analytical skills are essential. Strong interpersonal and communication skills, an organized working approach, attention to detail, and the ability to work effectively in an international environment are also key requirements. The RDV&C team offers a range of benefits including best-in-class leave policy, gender-neutral parental leaves, childcare assistance benefit, sponsorship for industry certifications, employee assistance program, comprehensive insurance coverage, and more. Additionally, you will receive training and development opportunities, coaching and support from experts, and a culture of continuous learning to aid in your career progression. Deutsche Bank values a culture of empowerment, responsibility, commercial thinking, initiative, and collaboration. They strive for a positive, fair, and inclusive work environment where employees are encouraged to excel together every day. If you are a reliable team player with strong analytical skills and a passion for risk data validation and control, we encourage you to apply for this exciting opportunity.,

As a skilled professional in data handling and processing, you will demonstrate expertise in SQL Server and query optimization, ensuring efficient application data design and process management. Your knowledge in data modeling will be extensive, supported by hands-on experience with Azure Data Factory, Azure Synapse Analytics, and Microsoft Fabric. Additionally, your familiarity with Azure Databricks will be utilized in your work. In the realm of data warehouse development, your proficiency in SSIS (SQL Server Integration Services) and SSAS (SQL Server Analysis Services) will be essential. You will excel in ETL processes, encompassing data extraction, transformation, and loading, including data cleaning and normalization. Moreover, your exposure to big data technologies like Hadoop, Spark, and Kafka will enable you to handle large-scale data processing efficiently. Your understanding of data governance, compliance, and security measures within Azure environments will be integral to your role. Furthermore, your expertise in data analysis, statistical modeling, and machine learning techniques will drive insightful decision-making. Proficiency in analytical tools such as Python, R, and libraries like Pandas and NumPy will be leveraged for data analysis and modeling. You will showcase a strong command of Power BI for data visualization, data modeling, and DAX queries, following best practices in the field. Implementing Row-Level Security in Power BI will be one of your key responsibilities. Handling medium-complex data models and quickly grasping application data design and processes will be part of your routine tasks. In addition to technical skills, you will lead a team of 4-5 developers, ensuring timely deliverables and fostering a culture of continuous learning. Your communication skills in English, both written and verbal, will be crucial for effective collaboration with customers. You will adeptly explain complex technical concepts to non-technical stakeholders, showcasing your ability to bridge the gap between technical and non-technical perspectives. Your proficiency in SQL, Azure Synapse Analytics, Azure Analysis Service, and Data Marts will enable effective data management. Utilizing ETL tools like Azure Data Factory, Azure Data Bricks, Python, and SSIS will streamline your workflow. Data visualization will be a key aspect of your role, with Power BI and DAX serving as your primary tools for creating impactful visual representations of data. Overall, as a data professional, you will be responsible for handling and processing data efficiently, leveraging your technical expertise and non-technical skills to drive valuable insights and support strategic decision-making.,

Join us as an AVP Quantitative Analytics CCR Modeler at Barclays Quantitative Analytics Team where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. You will be responsible for developing best-in-class credit risk models using industry-leading model development frameworks & methodologies, work in a global quant team, with regulators across the world and cutting-edge technology. To be successful as an AVP Quantitative Analytics CCR Modeler, you should have experience with: - Knowledge of CCR IMM Models, SA-CCR, CVA, BASEL Framework, Monte Carlo Simulation, Exposure / Collateral Modeling, PFE (Potential Future exposure), EPE, EPPE, Derivatives Pricing, Greeks, Risk Factor Modeling (Interest Rates, Equities, Credit, Commodities, etc.), Back-testing, Numerical Analysis, SR 11/7, SS1/23, SS12/13, etc. - Hands-on coding experience (as a full-stack developer/agile developer, etc.). - Experience in Model Development and/or Model Validation (core development experience preferred). - Experience in Stress Testing/Scenarios Modeling, Statistical Modeling (preferably for Wholesale credit book), Regulators and regulatory frameworks, Stakeholders Model Owners, Audit, Validation. This role is based out of Mumbai. **Purpose of the role:** To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making. **Accountabilities:** - Design analytics and modeling solutions to complex business problems using domain expertise. - Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments, and tools. - Development of high-performing, comprehensively documented analytics and modeling solutions, demonstrating their efficacy to business users and independent validation teams. - Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalize them. - Provision of ongoing support for the continued effectiveness of analytics and modeling solutions to users. - Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy. - Ensure all development activities are undertaken within the defined control environment. **Assistant Vice President Expectations:** To advise and influence decision-making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/business divisions. Lead a team performing complex tasks, using well-developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviors to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviors are: L - Listen and be authentic, E - Energize and inspire, A - Align across the enterprise, D - Develop others. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge, and Drive - the operating manual for how we behave.,

The role of Senior Consultant/Consultant Analytics at EY offers you the opportunity to work with clients in the Banking and Insurance sectors, developing Analytics Based Decision Making Frameworks. Your responsibilities will include project management, client management, and supporting business development and new analytics solution development activities. To excel in this role, you should possess domain expertise in either Banking or Insurance, statistical modelling skills (Logistic/Linear regression, GLM modelling, Time-series forecasting, Scorecard development, etc.), and hands-on experience with statistics tools such as SAS, Python & R. Experience with data visualization tools like Tableau and Qlikview is desirable, along with data mining experience in Clustering and Segmentation. Knowledge of machine learning and Python would be a plus. To qualify for this role, you should have a B Tech from a top-tier engineering school or a Masters in Statistics/Economics from a leading university. A minimum of 6 years of relevant experience is required, including at least 1 year of managerial experience for Senior Consultants, 1 year for Associate Consultants, and 3 years for Consultants. Ideal candidates will have strong communication, facilitation, relationship-building, presentation, and negotiation skills. You should be highly flexible, adaptable, and creative, with the ability to interact comfortably with senior executives both within the firm and at client organizations. Strong leadership skills and supervisory responsibility are also valued. EY is looking for individuals who can work collaboratively across multiple client departments, adhering to commercial and legal requirements while delivering insightful and practical solutions to complex problems. The company offers a culture that supports inclusivity and flexible working arrangements, allowing you to build your career without compromising personal priorities. As a global leader in assurance, tax, transaction, and advisory services, EY provides a platform for continuous learning, growth, and creativity. By joining EY, you will have the opportunity to work with passionate professionals and contribute to building a better working world. If you meet the criteria outlined above and are ready to make a difference, we encourage you to reach out to us promptly.,

As a part of this role, you will be responsible for setting up a Center of Excellence (CoE) and business practice for Enterprise AI solutions. You will be tasked with establishing Data Science & Analytics as a Service (DaaS) and building a practice with capabilities to create solution blueprints and roadmaps, orchestrate data acquisition, management, and engineering, as well as develop AI/ML models to solve analytical problems. It will be essential to stay updated with industry trends and developments to ensure the practice remains cutting-edge. In addition, you will promote collaboration and engagement within the team and with stakeholders. Your responsibilities will include creating technical Proof of Concepts (POCs) and solution demos, driving discussions to evaluate and design AI/ML solutions for various engagements, and implementing a framework across the solutions development lifecycle phases. You will also be required to develop a value tracking mechanism to monitor the Return on Investment (ROI) for AI/ML projects. Furthermore, a key aspect of this role will involve hiring, training, and mentoring a team of AI/ML experts to deliver technical solutions based on AI/ML products and platforms. It will be crucial to possess technical skills such as expertise in AI/ML, statistical modeling, ML techniques, and concepts, as well as experience with agile software development methodology and big-data projects. You should also have a fair understanding of verticals like Insurance, Manufacturing, and Education. Moreover, familiarity with tools and techniques related to data preparation, movement, analysis, visualization, machine learning, and Natural Language Processing (NLP) is essential. Experience in AI/ML enabled solution development leveraging high volume and high-velocity data across disparate systems and supporting large-scale Enterprise analytical solutions will be advantageous. Additionally, having a vision and the ability to set up solution practice groups will be beneficial. In terms of technical skills, it is required to have experience with Spark/Spark MLlib, visualization tools like Tableau/Power BI/Qlik View, cloud platforms such as Azure ML/AWS SageMaker/Snowflake, ML Ops, Automated ML, NLP, and Image/Video Analytics. Non-technical skills like possessing a master's degree in relevant fields, excellent interpersonal and people skills, analytical mindset, good debugging skills, and strong verbal and written English communication skills are also mandatory. Overall, this role offers a challenging opportunity to lead and drive AI/ML initiatives within the organization, requiring a combination of technical expertise, leadership skills, and a passion for innovation in the field of data science and analytics.,

As an exceptional quantitative trader with a proven track record of success, you are sought after for a rare opportunity in the field of High-Frequency Trading (HFT) in Bangalore, India. This role requires individuals with strategic expertise and algorithmic prowess to thrive in a fast-paced and intellectually rigorous environment. Your professional journey should showcase a career focused on applying advanced quantitative models to solve real-world trading problems. From model development to full-cycle strategy execution, your evolution should demonstrate an ability to adapt to changing market dynamics and excel in new trading environments and asset classes. Your projects and performance history should highlight consistent P&L generation, effective risk management, and a track record of developing alpha signals or enhancing existing trading strategies. You should have experience owning projects from conception to live deployment, collaborating with research and development teams to capitalize on market inefficiencies. Your professional skills should combine technical depth with strategic vision, enabling you to identify patterns in large datasets and translate them into actionable trading insights. Project leadership, managing trade-offs between speed and risk, and effective communication with technical and non-technical stakeholders are essential skills. With a strong command of quantitative trading principles, proficiency in statistical modeling, machine learning techniques, and time series analysis, you should also have hands-on experience with back-testing frameworks, simulation environments, market data APIs, trading protocols, and exchange connectivity. Your academic background should reflect a strong quantitative field, a history of continuous learning in quantitative finance, and any relevant professional qualifications or published research would be highly valued. In a collaborative, high-energy environment, you excel at building relationships with researchers and developers to achieve shared goals. Motivated by a meritocratic culture, you thrive on intellectual challenges, possess a competitive drive, a sense of accountability, and a commitment to excellence. Your sharp analytical mindset, adaptability to new technologies, and persistence in tackling complex problems are key attributes for success in this role. If you are prepared to lead with conviction, build enduring solutions, and embrace high-stakes challenges, we encourage you to apply for this exciting opportunity. For more information or to connect directly, please reach out to: Email: info@aaaglobal.co.uk Website: www.aaaglobal.co.uk Confidential conversations are always welcome.,

You will work alongside the Portfolio Manager to develop systematic trading strategies, focusing on idea generation, data gathering, research/analysis, model implementation, and back testing for systematic global equities strategies. Your responsibilities will include conducting research on various quantitative trading strategies such as fundamental, events, flow, and statistical arbitrage across different regions like US, Europe, Japan, and other non-US equity markets. You are required to have strong programming skills in object-oriented languages like Python and C++, along with a solid understanding of Linux. A degree in a quantitative subject such as Computer Science, Applied Mathematics, Statistics, or a related field from a reputed university is necessary. Ideally, you should have 0-5 years of experience in quantitative equity strategies, either at an asset manager or trading groups within a hedge fund. Internship experience at a top firm can be advantageous for candidates with no prior experience. Proficiency in statistical modeling techniques for equities trading and experience in researching datasets across various regions will be beneficial. Candidates with experience in managing intraday long-short equity portfolios will be highly valued for this position.,

As a Data Analyst/Scientist at TekWissen, you will be part of a global workforce management provider working with clients worldwide. The company values shared ideals and a strong sense of community, striving to create a positive impact on lives, communities, and the planet. Based in Chennai, this position offers a hybrid work type, providing a blend of in-office and remote work opportunities. The ideal candidate for this role should hold a Bachelors, Masters, or Ph.D. in a quantitative domain such as Statistics, Mathematics, Economics, Computer Science, Physics, or Engineering. With 3-5 years of experience, candidates with a background in the automotive domain will be preferred. Freshers with exceptional educational credentials will also be considered for this position. The key skills required for this role include Data Analysis, Statistical Modelling, and Artificial Intelligence, encompassing Machine Learning, Natural Language Processing, and GenAI. Proficiency in Python, Statistics, SQL, and Machine Learning is essential for this role, while knowledge of LLM, cloud services, and GCP is preferred. As an equal opportunity employer, TekWissen Group values and supports workforce diversity, providing a collaborative and inclusive work environment for all employees. Join us in our mission to drive innovation and create a positive impact on a global scale.,

Agoda is an online travel booking platform that offers accommodations, flights, and more to travelers worldwide. The company utilizes cutting-edge technology to connect customers with a vast network of 4.7M hotels and holiday properties, as well as flights, activities, and other travel options. As part of Booking Holdings and based in Asia, Agoda boasts a diverse team of 7,100+ employees from 95+ nationalities across 27 markets, fostering an environment rich in diversity, creativity, and collaboration. The company's culture emphasizes innovation through experimentation and ownership, ultimately enhancing the travel experiences of its customers. The core purpose of Agoda is to bridge the world through travel, believing that travel enables individuals to enjoy, learn, and experience more of the world around them. By bringing people and cultures closer together, travel promotes empathy, understanding, and happiness. The team at Agoda, comprised of skilled, driven, and diverse professionals from around the globe, is united by a shared passion to make a positive impact. Leveraging innovative technologies and strong partnerships, Agoda aims to simplify and enhance travel for everyone. The position available is for a Manager, Analytics & Insights, based in Bangkok, Thailand (relocation provided). The role is within the Analytics team under the Supply department, where new business ideas and partnership types are developed and scaled. Ideal candidates for this position should have a proven track record of leading small analytics functions or creating impactful business verticals from scratch, preferably from a consulting, sales, or business development background with a strong entrepreneurial mindset. The Manager will be responsible for conducting opportunity sizing on new business opportunities, building high-level business cases to justify proposals, collaborating with Product teams to introduce new features, and working directly with external partners to negotiate and finalize deals. Key Responsibilities: - General: Blend of hands-on involvement in business operations and executive-level strategic contributions, leading a team and contributing to overall strategy. - Project Delivery: Manage, standardize, and validate business cases for various aspects including product development, headcount, engineering resources, and strategic roadmap prioritization. - Experimentation: Define success metrics, measure and validate experiments, and cultivate an experimental mindset within the teams. - Forecasting and Insights: Provide a macro-level business intelligence view to identify opportunities, overcome challenges, and drive commercial behaviors across all organizational levels. - Analytics & Alerts: Conduct quantitative analysis, data mining, and presentation of business metrics, identifying key drivers and establishing an effective communication framework based on business value and urgency. - Process Improvement: Collaborate with teams to enhance inter- and intra-departmental efficiencies, optimize processes, and prioritize system enhancements. - Reporting: Develop dashboards, internal and external reports, and present key datasets to facilitate efficient monitoring of performance and efforts prioritization. - Leadership: Lead a team of experts to deliver analytical functions, mentor team members, and ensure effective collaboration with chain and connectivity teams. Qualifications: - 5+ years of leadership experience in analytics, data science, insights, or strategy. - 2+ years of experience leading analytics, operational, product, or technical teams. - Proficiency in data analysis and visualization tools such as Excel, SQL, Tableau, Python, R, or similar software. - Strong statistical modeling and machine learning knowledge. - Experience in deriving data insights and providing actionable business recommendations. - Excellent communication skills with proficiency in written, verbal, presentation, and interpersonal communication. - Ability to multitask, prioritize, and coordinate resources effectively. - Strong program and project management experience. - Bachelor's degree in a business or quantitative field, with experience in articulating strategic issues and negotiating with C-level executives. - People management skills with a track record of developing team members. - Ability to independently drive projects and engage stakeholders throughout the process. Preferred Qualifications: - Master's degree in statistics, economics, mathematics, or a related discipline. - Experience in conducting A/B testing experimentation. - Background in travel industry, e-commerce, technology, or consulting. Agoda is an Equal Opportunity Employer. Applicants" information will be kept on file for future consideration, and requests for removal can be accommodated upon request. The company does not accept third-party resumes and is not responsible for any fees related to unsolicited resumes. For more information, please refer to Agoda's privacy policy.,

As a Data Analyst in the E-commerce industry with a minimum of 3 years of experience, you will be responsible for analyzing complex datasets to identify trends, patterns, and opportunities for business growth within the e-commerce sector. Your role will involve developing, maintaining, and automating dashboards and reports to monitor key performance indicators (KPIs) like conversion rate, customer acquisition cost, customer lifetime value, average order value, and cart abandonment rate. You will conduct A/B testing and hypothesis testing to evaluate the effectiveness of marketing campaigns, website changes, and product launches. Extracting, transforming, and manipulating data from relational databases and data warehousing solutions will be a crucial part of your responsibilities. Using advanced data analysis techniques like predictive modeling, clustering, and regression analysis with tools like Python or PHP will support strategic decision-making. Collaboration with cross-functional teams such as marketing, product management, and operations will be essential to provide data-driven recommendations and insights. Analyzing customer behavior and segmentation to enhance personalization strategies and improve customer experience will be part of your daily tasks. Communicating key insights and trends through compelling data visualizations using platforms like Tableau, Power BI, or similar tools is also expected. To qualify for this role, you should have a Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field, along with a minimum of 3 years of experience in data analysis within the e-commerce industry. Proficiency in SQL for data extraction and manipulation, as well as experience with data visualization tools and programming languages is required. In-depth knowledge of e-commerce metrics and KPIs, excellent analytical skills, and the ability to translate complex data insights into actionable recommendations are essential. Experience with data warehousing solutions and NoSQL databases would be a plus for this position. If you are looking to join a dynamic team and drive business growth through data analysis in the e-commerce sector, we encourage you to apply now.,

The Risk Data Validation & Control (RDV&C) team at Deutsche Bank (DB) is seeking an Associate to join their team in Pune, India. As part of the Credit Risk Data Unit (CRDU) team within Group Finance, you will be responsible for quality assurance activities related to critical risks and regulatory topics impacting the bank. Key stakeholders include Business Finance, Risk Management, Group Reporting, Regulatory Policy Adherence Group, and Production IT Support. In this role, you will be responsible for completing month-end quality assurance controls, validating variances, analyzing Credit Risk RWA Exposure, leveraging exposure regulatory metrics, and calculating exposure where necessary. You will navigate complex risk engine algorithms to conduct root cause analysis on exposure calculations, ensuring accuracy and reflecting the economics of the portfolio. Additionally, you will proactively manage data quality investigations and resolutions, liaise with stakeholders for root cause analysis, provide subject matter expertise to support Finance and Risk teams, and present regulatory metrics to senior audiences globally. The ideal candidate will have a good understanding of regulatory requirements such as ECB CRR, CRD, and Basel, exposure calculations under models like SA-CCR and IMM, exposure metrics like EPE/EE, and statistical modeling. Strong analytical skills, problem-solving abilities, experience with process change, and proficiency in Python, Advanced Excel (VBA), Microstrategy, and MS Access are preferred. At Deutsche Bank, we offer a range of benefits including best-in-class leave policies, gender-neutral parental leaves, childcare assistance benefits, sponsorship for industry certifications, employee assistance programs, insurance coverage, and more. You will receive training, coaching, and support for your career development in a culture of continuous learning and collaboration. Join us at Deutsche Bank to excel together every day, where we empower our people to act responsibly, think commercially, take initiative, and work collaboratively in a positive, fair, and inclusive environment. Visit our website for more information: https://www.db.com/company/company.htm.,

The role involves data analysis and development of deliverables in support of assessment and strategic objectives. You will be responsible for aggregating data, preparing, and analyzing it through statistical modeling to extract insights on the effectiveness of marketing activities. Based on scenario generation, you will recommend future actions. Your detailed analysis will facilitate internal team discussions and client-facing deliverables. You will also be expected to use, evaluate, and improve internal templates, tools, and processes. In addition, you will execute and progress project timelines by actively tracking tasks, building contingencies to address delays, technical challenges, and client requests. Guiding junior team members on methodology and process for executing effectiveness projects will also be part of your responsibilities. You will liaise with client contacts to ensure data and all necessary materials for analysis are available, and present initial findings to clients, gather feedback, and fine-tune the study. Furthermore, you will contribute to building Dentsu's internal products related to analytics and effectiveness. This position is based in Bangalore and is a full-time, permanent role within Dentsu X.,

As the Lead Data & AI Architect for 6G Automation at Nokia, you will play a crucial role within the Nokia Standards Architecture, Security, and Automation team. Your primary responsibility will be to leverage cutting-edge advancements in machine learning, logical reasoning, and data science to advance 6G networks towards autonomous operation. Joining a dynamic global team focused on continuous improvement and innovation in networking research, you will have the opportunity to elevate automation research to new heights. Your role will involve tackling real-world challenges, developing innovative solutions, and offering guidance on the application of artificial intelligence in communication networks. Nokia is seeking a lead architect to steer the research and standardization roadmap for 6G edge and AI automation. At Nokia, we value professionals who not only excel in their expertise but also possess a spirit of innovation, creativity, and visionary thinking. In this role, you will contribute to: - Conceptualizing network intelligent and data-driven automation strategies across wireline and wireless networks - Shaping the future of AI-native, autonomous 6G networks and their core architectures - Defining research and standards roadmaps for network automation and AI innovations - Collaborating with engineering teams to create novel AI solutions for network challenges - Mentoring and guiding network automation practitioners and data engineers - Staying updated on the latest advancements in network automation and AI technology - Building intellectual property assets for Nokia - Representing Nokia in industry events and publications - Supporting standards organizations with contributions and concepts - Validating concepts through experimental work and prototypes Key Skills and Experience: - PhD in computer science, telecommunications, or related field - 5+ years of experience in automation research for wireline and wireless networks - Knowledge of edge networking, machine learning platforms, and AI fundamentals - Hands-on experience in network automation and data analytics - Strong understanding of various AI sub-fields and data frameworks - Experience with standards specifications and project management - Excellent team collaboration skills and a drive for mentoring Desirable skills include R&D project management experience and expertise in network security and cloud platforms. As an autonomous, proactive, and collaborative professional, you will bring vision, systemic thinking, and innovative solutions to complex problems. Your curiosity and research spirit will drive you to innovate beyond the current state-of-the-art. Join Nokia in creating technology that fosters global collaboration and positive impact. Embrace our inclusive culture and be part of a diverse, empowered, and innovative team where your contributions will shape a more sustainable and inclusive world.,

The Data Capability Tooling Sr Analyst role is a senior position that requires a seasoned professional with in-depth disciplinary knowledge. You will contribute to the development of new techniques and process improvements within the data analytics and data analysis domain. Your responsibilities will include performing data analytics across various asset classes and building data science/Tooling capabilities within the team. Collaboration with the Enterprise Data team, particularly the front to back leads, will be essential to deliver business priorities effectively. You will be part of the B & I Data Capabilities team within the Enterprise Data, where you will manage the Data quality/Metrics program and implement improved data governance and data management practices across the region. The focus will be on enhancing Citigroup's approach to data risk and meeting regulatory commitments in this field. Key Responsibilities: - Conduct strategic data analysis, identify insights, and make strategic recommendations, while developing data displays to communicate complex analysis effectively. - Conduct, review, analyze, and build/engineer data capability tools and software components. - Develop and articulate business requirements, map current and future state processes, and advise on operational models tailored to each use case. - Utilize Python and analytical tools to build data science capabilities. - Perform complex data analytics on large datasets, including data cleansing, transformation, joins, and aggregation. - Create analytics dashboards using PowerBI/Tableau. - Produce high-quality business data analysis for asset classes, financial products, systems, and reports in a fast-paced environment. - Communicate findings and propose solutions to stakeholders and convert business requirements into technical design documents. - Collaborate with cross-functional teams and manage testing and implementation processes. - Design, implement, integrate, and test new features, contributing to software architecture improvements and suggesting new technologies. - Demonstrate understanding of how development functions integrate within the business and technology landscape, with a strong focus on the banking industry. - Perform other assigned duties and functions with attention to risk assessment and compliance with laws and regulations. Skills & Qualifications: - Experience in Financial Services or Finance IT. - Familiarity with Data Tracing/Data Lineage/Metadata Management Tools. - Proficiency in Python 3.x and ETL methodology. - Knowledge of BI visualization tools like Tableau and PowerBI. - Strong understanding of RDBMS, such as Oracle and MySQL, and ability to write complex SQL queries. - Experience in working with complex data warehouses and automation tools. - Excellent storytelling and communication skills. - 6-10 years of experience in statistical modeling of large datasets. - Process Improvement or Project Management experience. Education: Bachelor's/University degree, master's degree in information systems, Business Analysis, or Computer Science. Citi is an equal opportunity employer that values diversity and inclusivity in the workplace.,

The ideal candidate should possess knowledge of accounting system, specifically Tally, with proficiency in both inward and outward processes. You will be responsible for demand forecasting based on the Annual Operating Plan, utilizing statistical modeling to determine requirements at the SKU level. Additionally, you will conduct trend analysis and make agile decisions to support inventory control and management. Close coordination with the Purchase Team and Category Team is essential to plan all types of SKUs effectively. It is crucial to understand the production process and apply this knowledge in material planning. Proficiency in advanced Excel and expertise in Excel spreadsheets is a must for this role.,

Overview: TekWissen is a global workforce management provider throughout India and many other countries in the world. The below clientis a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place one that benefits lives, communities and the planet Job Title: Data Analyst/Scientist Location: Chennai Work Type: Hybrid Position Description: For Data Analyst/Scientist Education: Bachelors, Masters, or Ph.D. in a quantitative domain including Statistics, Mathematics, Economics, Computer Science, Physics, and Engineering Experience: 3-5 years Automotive domain experience is a plus Freshers with exceptional educational credentials would be considered Skills: Data Analysis, Statistical Modelling, Artificial Intelligence (including Machine Learning, Natural Language Processing, and GenAI) Skills Required: Python, Statistics, SQL, Machine Learning Skills Preferred: LLM, cloud, GCP Experience Required: 5+ Education Required: Bachelor's Degree Education Preferred: Master's Degree TekWissen Group is an equal opportunity employer supporting workforce diversity.

The role of a Data Scientist, Risk Data Analytics at Fidelity International involves taking a leading role in developing Data Science and Advanced Analytics solutions for the business. This includes engaging with key stakeholders in the Global Risk Team to understand various subject areas such as Investment Risk, Non-Financial Risk, Enterprise Risk, Model Risk, and Enterprise Resilience. The Data Scientist will implement advanced analytics solutions on On-Premises/Cloud platforms, develop proof-of-concepts, and collaborate with internal and external teams to progress these concepts to production. Additionally, they will work on maximizing the adoption of Cloud Based advanced analytics solutions by building sandbox analytics environments and supporting delivered models and infrastructure on AWS. The Data Scientist will be responsible for developing and delivering Data Science solutions for the business, partnering with internal and external ecosystem to design and deliver advanced analytics-enabled solutions. They will create advanced analytics solutions on quantitative and text data using Artificial Intelligence, Machine Learning, and NLP techniques, as well as compelling visualizations for customer benefit. Stakeholder management is a key aspect of the role, involving working with Risk SMEs/Managers, stakeholders, and sponsors to understand business problems and translate them into appropriate analytics solutions. The Data Scientist will engage with key stakeholders for the smooth execution, delivery, implementation, and maintenance of solutions. Moreover, the Data Scientist will focus on the adoption of Cloud-enabled Data Science solutions by maximizing adoption of Cloud Based advanced analytics solutions, building sandbox analytics environments, and deploying solutions in production while adhering to best practices. Collaboration and Ownership are essential, which includes sharing knowledge and best practices with the team, providing mentoring, coaching, and consulting advice to staff, and taking complete independent ownership of projects and initiatives in the team with minimal support. The ideal candidate for this role should have a strong educational background with qualifications like an Engineer from IIT/Masters in a field related to Data Science/Economics/Mathematics/M.B.A from tier 1 institutions. They should have a minimum of 9 years of experience in Data Science and Analytics, with hands-on experience in Statistical Modelling, Machine Learning Techniques, Natural Language Processing, Deep Learning, and Python. The candidate should possess excellent problem-solving skills, the ability to run analytics applications, interpret statistical results, and implement models with clear measurable outcomes. Additionally, experience with SPARK/Hadoop/Big Data Platforms, unstructured data, big data, and primary market research is beneficial. Fidelity International offers a comprehensive benefits package, values employee wellbeing, supports development, and promotes flexible working arrangements. The organization is committed to making employees feel motivated by their work and happy to be part of the team. If you are looking to build your future in a dynamic and innovative environment, consider joining Fidelity International's Data Value team. Visit careers.fidelityinternational.com for more information on opportunities to be a part of the team.,

At PwC, the focus in data and analytics is on leveraging data to drive insights and make informed business decisions. Advanced analytics techniques are utilized to help clients optimize operations and achieve strategic goals. As a Data Analyst at PwC, the emphasis is on utilizing advanced analytical techniques to extract insights from large datasets and facilitate data-driven decision-making. Skills in data manipulation, visualization, and statistical modeling are leveraged to assist clients in solving complex business problems. Candidates with 4+ years of hands-on experience are preferred for the role of GenAI Data Scientist at PwC US - Acceleration Center. The Senior Associate level position requires a highly skilled individual with a strong background in data science, particularly focusing on GenAI technologies. The ideal candidate should possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Responsibilities include collaborating with product, engineering, and domain experts to identify high-impact GenAI opportunities, designing and building GenAI and Agentic AI solutions end-to-end, processing structured and unstructured data for LLM workflows, validating and evaluating models, containerizing and deploying production workloads, communicating findings and insights, and staying current with GenAI advancements. Requirements for this position include a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field, 1-2 years of hands-on experience delivering GenAI solutions, proficiency in Python with additional experience in R or Scala, experience with vector stores and search technologies, expertise in data preprocessing, feature engineering, and statistical experimentation, competence with cloud services across Azure, AWS, or Google Cloud, proficiency in data visualization, and strong problem-solving skills. Nice to have skills include relevant certifications in GenAI tools and technologies, hands-on experience with leading agent orchestration platforms, proven experience in chatbot design and development, practical knowledge of ML/DL frameworks, and proficiency in object-oriented programming with languages such as Java, C++, or C#. Candidates with a background in BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA or any related degree are encouraged to apply for this challenging role at PwC US - Acceleration Center.,