4 Ai Analytics Jobs

As a Senior Relationship Manager at Jama Wealth, a leading fintech company revolutionizing wealth management with AI and ML technologies, you will play a crucial role in our team. Your primary focus will be on building and nurturing strong relationships with high-net-worth clients, ensuring their financial needs are met with expert advice and exceptional service. Utilizing our AI-powered platform, you will craft personalized investment solutions tailored to each client's goals and risk preferences. Your responsibilities will include cultivating deep connections with high-net-worth individuals, delivering customized financial plans and investment advice, harnessing advanced AI analytics for optimized investment portfolios, driving asset growth through client acquisition and retention, staying updated on market trends and industry best practices, and proactively managing and enhancing client portfolios through regular reviews. The ideal candidate for this role should have at least 5 years of experience in wealth management, Asset Management Company (AMC), or similar fields, with a strong emphasis on client relationship management. You should possess a deep understanding of financial products, investment strategies, and market dynamics, accompanied by excellent communication, interpersonal, and presentation skills. Your ability to analyze client data and offer data-driven recommendations, coupled with a solid grasp of wealth management regulations and industry landscape, will be invaluable. An undergraduate degree is a prerequisite, while an MBA is advantageous. Holding NISM V-A and NISM XXI A certifications is required. By joining our high-growth startup, you will have the opportunity to contribute to the evolution of wealth management, enjoy a competitive compensation package with attractive incentives, and grow exponentially within our lean and dynamic team. Furthermore, you can benefit from our Employee Stock Ownership Plan (ESOP) and become a stakeholder in our success. If you are passionate about providing outstanding client experiences, fostering growth in the fintech sector, and possess the requisite qualifications and skills, we invite you to apply for this position. The job location is in Hyderabad & Bangalore with a work from office (WFO) setup. We are looking for immediate to 1-month joiners. Interested candidates can reach out to hr@jamawealth.com.,

About the Job The Director of Special Projects is a strategic leadership role responsible for delivering insights and analytics to the C-Suite and management teams. This role is pivotal in shaping and enhancing customer experience (CX) outcomes for our clients and internal business units. It focuses on synthesizing data from various sources to deliver actionable insights, strategies, and recommendations that drive improved CX performance and operational efficiency. The successful candidate will be adept at translating complex data into clear narratives that inform both external client partnerships and internal leadership objectives. As Director of Special Projects, You Will Curate insights by analyzing diverse data sets, including disposition data, operational metrics, workforce metrics, analyst reports, internet research, and AI-generated intelligence. Identify trends, opportunities, and improvement areas to help clients strengthen customer relationships and elevate their brand reputation. Support client CX leaders in defining and implementing strategies to enhance customer satisfaction, loyalty, and advocacy. Present focused, data-driven recommendations during regular client engagements, offering candid and objective insights with professionalism and impact. Provide senior business unit leaders and CX teams with clear, concise performance analysis across key CX metrics, such as CSAT, NPS, FCR, VOC, as well as operational efficiency metrics like AHT, CPC, and utilization rates. Identify underperforming areas and recommend evidence-based strategies to improve both customer experience and operational KPIs. Collaborate with internal stakeholders, including QA, reporting analysts, and real-time analysts, to ensure insights and recommendations align with broader program goals. Serve as the driving force behind superior performance analytics, moving beyond traditional reporting to offer predictive and diagnostic insights that anticipate challenges and opportunities. Leverage existing resources and toolssuch as QA frameworks, real-time insights, and performance dashboardsto build holistic strategies that optimize service delivery and customer outcomes. Collaborate with AI and analytics platforms to unlock deeper intelligence and provide innovative solutions. As Director of Special Projects, You Have Bachelors degree in Business, Data Analytics, Customer Experience, or a related field. Advanced degrees or certifications in CX, Analytics, or Process Optimization are an asset. 10+ years of experience in data analysis, customer experience strategy, or consulting roles focused on performance improvement. Proficiency in data tools (e.g., Excel, BI platforms, or AI analytics tools) and experience with customer experience reporting and dashboards. An ability to interpret large and diverse data sets, identifying key trends and translating them into actionable strategies. An exceptional ability to present insights in a structured, impactful manner to both client stakeholders and senior internal leaders. A strong understanding of CX performance metrics (CSAT, NPS, FCR, VOC) and efficiency metrics (AHT, CPC), as well as their impact on client success. Experience working within cross-functional teams, with the ability to partner effectively with QA, workforce analysts, and business leaders. Familiarity with AI and data visualization tools to enhance insights and reporting.

Job Requirements: Working with stake holders from different business units to identify the business opportunities for leveraging the data to drive business solutions. Must have good knowledge of advanced statistical methods (automotive or manufacturing domain will be an added advantage). Mine and analyze data, applying statistical methods as necessary, discover the hidden patterns and viewing experiences to identify critical data insights. Develop customized ML/AI algorithms for the customers so that they are suited 100% to the requirements Develop reusable AI/GenAI/ML/Statistical models that can be scaled to multiple businesses with minimum customization. Translate analytic insights into concrete, actionable recommendations for business or product improvement. Partner closely with product and engineering leaders throughout the lifecycle of project. Ensure that necessary data is captured; analytic needs are well-defined up front and coordinate the analytic needs. Independently handle the products/projects and provide technical directions to the other team members. Develop dashboards using software like Tableau, PowerBI, etc. to share algorithm results to end users Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company. Technical directions to junior in team, like to sort the respective task for appropriate team members, mentoring them technically etc. Qualifications Experience: 4 7yrs Education Requirements: Masters from a reputed Indian institutes in the area of Statistics, Machine Learning, Computer Science, etc. Additional Information Technical Skills Expertise in cutting edge technologies in applied deep learning, Machine learning and AI in one or more of the following fields Supply chain analytics: Inventory Optimization, demand forecasting, Sales Domain : Recommendation systems, Customer Segmentation, Price Elasticity Manufacturing analytics : Root cause analysis, scrap reduction, cycle time reduction, warranty analytics Computer Vision Gen AI : RAG, Agentic RAG, Graph RAG, Chain of Thoughts, Tree of Thoughts, Content Extraction, Content summarization, Chat application, LangChain Strong expertise in Python Work experience in preparing data which includes preprocessing, feature selection, imputation, cleansing, transformation using Python Work experience in data exploration techniques, such as, mean-variance, k-means, nearest-neighbor, outlier techniques, and correlate anomalous sequences of events. Proven track record and experience with machine learning algorithms such as Multivariate Regression, classification models, clustering algorithms, support vector machine, decision tree, random forest, neural network etc. DOE, Forecasting, Segmentation, Uncertainty Analysis etc. Work experience in development of API, Web applications using Flask/Django will be an added advantage. Model deployment knowledge in Azure / AWS, etc. will be an advantage Deployment experience with Docker, CI & CD will be an advantage.

Role & responsibilities As a Customer Analytics lead in the Enterprise Data analytics Practice of Capgemini Invent, you will help clients across sectors and industries transform and improve their operations by leveraging data for transformative insights in customer, digital and marketing strategies. You will guide the development of innovative data-driven solutions and AI/ML use cases. You will provide supervision and hands-on delivery support advising our clients and consultants on solution approach, design, implementation, and roll-out. Additional Responsibilities: Drive Customer Analytics deals, locating and cultivating opportunities for improvement and business growth within customer analytics domains. Provide strategic leadership to guide the company's direction, aligning business goals with market opportunities and ensuring long-term growth and success. Define and oversee data/AI analytics solution approaches technical designs, providing guidance on development, testing, and deployment in areas such as customer insight generation, digital customer journey optimization, and marketing and campaign effectiveness. Strengthen the company's brand presence and thought leadership in the customer analytics space, positioning the company as a trusted leader in innovative solutions. Lead the development of assets and frameworks for selling and delivering Customer Insight solutions, streamlining service offerings and enhancing go-to-market strategies. Build client trust through close collaboration, driving projects and managing risks Preferred candidate profile • Bachelors/Masters Degree in Computer Engineering, Computer Science, or a related field. • 15+ years of experience working in a consulting/advisory environment where they focused on Customer Transformation using AI Analytics. • Experience with integrating customer data from multiple sources, such as CRM systems, marketing automation platforms, and third-party databases, to create a comprehensive customer view. • Strong understanding of the value of data, with experience in processing behavioural and transactional data from various sources, applying predictive analytics, machine learning, and AI to improve customer insights, personalization, and retention strategies. • Bring in GenAI driven transformation within customer analytics space. • Ability to identify opportunities for process and technology improvement, defining data-driven use cases and creating associated business cases • Experience facilitating dynamic workshops with clients to identify pain-points, desires, current state, solution paths, solution designs, etc • in leading and delivering large-scale data solutions, managing enterprise-level projects, and overseeing technical and advisory teams. • Deep Expertise in one of the sectors like Life Sciences, CPR, Auto or Manufacturing