524 Predictive Analytics Jobs - Page 19

What youll be doing... Were looking for you to bring the latest and greatest features to our customers-and to help us tell the marketplace about whats new and why they need to have it. This role combines deep technical knowledge of AI accelerator technologies with strategic product management to deliver solutions that enable faster, more efficient AI deployment. Collaborating with others, youll build the roadmap and drive the process from ideation through design and roll-outand build compelling value messages along the way. Your focus will be on AI products, features, and services that solve customer challenges and help make peoples lives better. This role requires a clear understanding of AI with a strong B2B acumen, committed to driving key business outcomes through data. Understanding and anticipating market needs. Define and communicate the product vision and strategy for AI features in our products, ensuring alignment with the companys overall goals and objectives Stay informed about the latest AI trends and identify potential applications for the business Defining requirements and leading the team through design and development. Building the business case, getting internal consensus, and defining product roadmaps. Forging strong relationships across the organization to get it all done. Tracking success metrics and communicating results to management. What were looking for Understanding what customers will want next is your driver. You are creative but balance that with your practical business side. You can juggle several projects with tight deadlines and not drop any ballswhile also keeping your eye on the big picture. An environment with lots of competing priorities and new challenges every day is where you thrive. With a knack for working with different types of people, you inspire others to do their best work and carry out your vision. You'll need to have: Bachelors degree or relevant work experience. Seven to ten years of relevant work experience. Good understanding of AI concepts, ML model architectures and computational requirements E-commerce experience. Excellent analytical, problem-solving, and decision-making skills specifically regarding large but undefined problem space Experience using data to drive product decisions and measure success. Experience in improving customer experience. Experience in enterprise digital analytics, with a strong preference for B2B industry experience. Demonstrated ability to work independently as a self-starter and lead cross-functional teams. Strong communication skills with the aptitude to convey complex data concepts in business terms. Even better if you have one or more of the following: Extensive experience with data modeling, statistical analysis, and predictive analytics. A strategic thinker with a proven record of leveraging analytics for business growth and transformation. Knowledge of design thinking. Digital experience, digital marketing and digital product management either in a business, agency or consulting organization. Managed complex projects with shifting priorities, demands, and stakeholders. Ideally, with cross-functional teams and agencies. Passion for innovation and a commitment to driving business value through technology.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Primary Responsibilities Generally, work is self-directed and not prescribed Build, maintain and prioritize a capability/product backlog Create and guide a prioritized roadmap through the capability life cycle of strategy, OKR/KPI alignment, definition, and delivery Own the creation of features and participate in Agile Scrum process alongside product owners and scrum team to ensure business vision and needs are accurately implemented and meet market expectations Work with cross functional business stakeholders to define/design industry leading, innovative solutions, and ensure alignment with the enterprise strategies and priority (e.g., capital/funding commitments, revenue commitments, capabilities, functional impacts, cross functional roles) Drive incremental value of the capability through improved predictive analytics and a focus on the member experience Work across teams (e.g., engineering, product, experience design, content, sales) and build partnerships to solve a myriad of complex user experience problems in creative, thoughtful, and scalable ways Oversee the development of your capability and be responsible for completion and deployment of an experience to the production environment, navigating the organization to remove roadblocks and communicating with transparency Work with cross-organizational product, dependent capabilities & capability managers to understand their strategic priorities and keep your Features in alignment with organizational goals Develop a deep knowledge of your product to drive design decisions and support the business by communicating your suite of available features Support the product by coordinating and driving to resolution product issues as they arise ensuring understood issue priority and communicating appropriately with transparency Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications 10+ years working in a complex, matrixed organization 10+ years of experience with scrum and agile software development processes 8+ years of product management (or equivalent) experience Experience using data to analyze opportunities and outcomes to drive decisions Experience utilizing solid collaboration and communication skills to work effectively in a virtual environment Experience utilizing solid organizational skills Experience working with engineers and designers to create great user experiences Knowledge and understanding of how a product works from a technology lens with the ability to explain it (coding or drawing an architecture diagram is not necessary) Preferred Qualifications 3+ years knowledge with health industry and/or pharmacy 1+ years of experience using predictive and/or consumer analytics 1+ years knowledge of pharmacy & benefits pricing Experience with Aha and Rally Familiarity with delivery and fulfillment processes

Responsibilities : The incumbent will lead a team of data scientists and campaign managers. S/He will work closely with cross functional teams like Subscriber Marketing, Content, Product, IT, Tech, and Customer Operations to identify & solve key business problems. Key responsibilities for this position are listed below: - Leverage Gen AI for Transformational initiatives at across various offerings - DTH, mobile app. - Building and improving Recommendation Engines, Propensity Modelling, Unsupervised Learning, Fraud Detection, Patterns & Visualisations - Improving the Quality, Performance and Effectiveness of the campaigns - Working on various statistical and data science models to test and evaluate them - Evaluating models and predict performance of data science models using ROC curve and Lift Analysis - Providing expertise to the organisation on statistical techniques - Building deep learning based complex systems utilising structured and unstructured data - Setting up and manage a team of data scientists and campaign managers - Collaborating with data engineering team on building data marts, reports, data warehouse, data pipelines and data tracking mechanisms - Micro segment the base for better upsell of content. Leverage AMS (Audience Measurement system). - Integrate data science models into various campaigns - Manage various segmented upselling and retention campaigns which will be administered through various modes of communication e.g. outbound, TV channels, SMS, emails, App Notifications, website etc The Person : - 10+ years in the Data Science and Analytics domain - Expertise in Predictive Analytics & Machine Learning concepts like such as regression, classification, SVM, recommendation engines, neural network etc. - Hands On experience to open source analytical tools - such as R, Python - Hands On experience of data visualization tools like Tableau - Experience of working on web analytics using tools like Mix Panel for analytics and experimentation - Exposure to implementing data science solutions in production environments - Exposure to Gen AI technology for solving business problems like NLU Search, CVM, Metadata enrichment etc. - Understanding of analytical architecture components; query languages, web services, APIs etc - Experience working on cloud and it's components: AWS / Azure / Google Cloud Platform (any one) - Experience working on Big Data technologies like Spark, PySpark, SparkR etc - Proven experience in Model to Market - Good understanding of commercial (revenue and retention) aspects of the business. - Experience of leading and driving multiple complex projects with a sharp customer-focus - Sound problem identification, judgment, resolution and decision-making skills - Innovation oriented and a proponent of disruptive and out-of-the-box thinking - High level of integrity, ownership and accountability - Excellent written and verbal communications; ability to articulate thoughts clearly and concisely; excellent interpersonal skills.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Warm Greetings from Dataceria Software Solutions Pvt Ltd . We are Looking For: Senior Data Scientist -------------------------------------------------------------------------------------------------------------- We are seeking a highly skilled Senior Data Scientist to lead the development of classification models and customer segmentation strategies for a major investment bank. This role is central to profiling the existing client base on legacy infrastructure and supporting business stakeholders in defining clear migration paths to modern platforms such as Data Mesh. Responsibilities: Lead the design and implementation of classification models to categorize clients based on product usage, service engagement, and behavioral patterns. Develop robust customer segmentation strategies to support personalization and migration strategies. Collaborate closely with stakeholders across business and technology to understand legacy data landscapes and future-state architecture. Oversee and mentor a small team of data scientists and analysts. Conduct advanced analysis using Python and SQL; apply machine learning techniques for predictive insights. Translate complex data findings into clear business narratives and actionable outcomes. What we're looking for in our applicants: 8+ years of experience in data science, preferably in financial services or investment banking . Proven expertise in machine learning, particularly classification and clustering models. Advanced proficiency in Python ( Pandas, Scikit-learn, etc.) and SQL. Experience leading technical teams or mentoring junior data professionals. Strong understanding of client lifecycle in financial institutions and regulatory considerations. Familiarity with data migration strategies and legacy modernization projects is a plus. ---------------------------------------------------------------------------------------------------------------------------------------------------- Joining: Immediate Work location: Bangalore (hybrid) , Chennai. Open Positions: Senior Data Scientist If interested, please share your updated resume to carrers@dataceria.com: We welcome applications from skilled candidates who are open to working in a hybrid model. Candidates with less experience but strong technical abilities are also encouraged to apply. ----------------------------------------------------------------------------------------------------- Thanks, Dataceria Software Solutions Pvt Ltd Follow our LinkedIn for more job openings : https://www.linkedin.com/company/dataceria/ Email : careers@dataceria.com ------------------------------------------------------------------------------------------------------

Role & responsibilities As a Data Scientist, you will play a crucial role in analyzing complex data using statistical and machine learning models, providing valuable insights, and driving data-driven decision-making processes Analyze complex data using statistical and machine learning models to derive actionable insights Utilize Python for data analysis, visualization, and working with APIs, Linux OS, databases, big data technologies, and cloud services Develop innovative solutions for natural language processing and generative modeling tasks using NLP, Generative AI, and LLMs Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions Work in an Agile framework, participating in sprint planning, daily stand-ups, and retrospectives Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions. Research, develop and analyze computer vision algorithms in areas related to object detection, tracking, product identification and verification, scene understanding Ensure model robustness, model generalization, accuracy, testability, and efficiency Write product or system development code Design and maintain data pipelines and workflows within Azure Databricks for optimal performance and scalability. Communicate findings and insights effectively to stakeholders reports and visualizations. Preferred candidate profile A Master's degree in Data Science, Statistics, Computer Science, or a related field. Over 5 years of proven experience in developing machine learning models, particularly for time series data within a financial context. Advanced programming skills in Python or R, with extensive experience in libraries such as Pandas, NumPy, and Scikit-learn. Comprehensive knowledge of AI and LLM technologies, with a track record of developing applications and models. Proficiency in data visualization tools, such as Tableau, Power BI, or similar platforms. Exceptional analytical and problem-solving abilities, coupled with meticulous attention to detail. Superior communication skills, enabling the clear and concise presentation of complex findings. Extensive experience in Azure Databricks for data processing, model training, and deployment. Proficiency with Azure Data Lake and Azure SQL Database for data storage and management. Experience with Azure Machine Learning for model deployment and monitoring. In-depth understanding of Azure services and tools for data integration and orchestration.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a dynamic and skilled Lead AIML Engineer who is passionate about solving real world problems in the healthcare domain using cutting edge capabilities and emerging technologies. As a Lead AI/ML Engineer, the candidate will be responsible for developing AI business case, solution design and collaborating with other senior leaders, stakeholders, and customers to ensure alignment, integration of AI/ML capabilities with mentoring and leading the Data Science resources for contact analytics area. The Ideal Candidate will follow advancements in the state-of-the-art methods that are relevant to the particular use case and provide recommendations for model development and experimentation. Primary Responsibilities: Lead Artificial Intelligence (AI) Engineer Design innovative AI solutions to various business problems, utilizing cutting-edge AI technologies like Generative AI, Large Language Models, RAG, Reinforcement learning, Agentic AI Communicating analytics model behavior/results to Stakeholders Carrying out technical risk analysis and reliability assessments Mentor, Guide the team of scientists, data analysts, and business stakeholders to design and deploy AI solutions Develop and demonstrate AI use-cases, conducting workshops and training sessions to foster AI adoption Take a leadership role in the data science community of experts Evaluate and implement best practices in AI/ML, data mining, and analytics Document architecture roadmaps, reference architectures, and standard operating procedures for AI solutions Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Master’s degree in computer science, Computer Engineering, Data Science, Information Technology, or related field 10+ years of work experience with at least one of the following languagesPython, Java, and R 5+ years of experience in high-level architecture design and solution development for large-scale AI/ML systems Extensive experience with deep learning frameworks (e.g., TensorFlow, Keras, PyTorch), time series analysis, predictive modeling, and NLP Experience and knowledge of Large Language Models, RAG, Transformers Comprehensive knowledge of modern data science and product/web analytics tools and tehcniques including python and associated data science ecosystem, machine learning, Azure Machine Learning etc. Broad knowledge and understanding of advanced statistical, machine learning, and/or data mining techniques Knowledge of both traditional machine learning algorithms and modern deep learning and generative AI models and methods Knowledge of both traditional machine learning algorithms and modern deep learning and generative AI models and methods Knowledge of high-performance AI computing platforms, Linux, and shell scripting in AI computing environments Knowledge of Cloud platform supporting AI Implementation like Azure ML Studio Proficiency in Python for AI/ML; experience with graph databases, neural networks, and MLOps Proven track record in industry use cases utilizing deep and machine learning techniques Demonstrated ability to develop and manage complex projects, leading an interdisciplinary team to achieve project goals Demonstrated ability to provide mentorship and guidance for the efficient and technical development of the members of your team Demonstrated ability to develop and manage complex projects, leading an interdisciplinary team to achieve project goals Demonstrated ability to provide mentorship and guidance for the efficient and technical development of the members of your team Proven expertise in predictive analytics, machine learning, deep learning architecture, Large Language Models, RAG, and text analytics with NLP Proven exceptional communication skills to articulate technical solutions to both technical and non-technical audiences Proven strategic thinking in systems capacity planning, hardware and software updates, and migration At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. The Enterprise Intelligence Suit (EIS) is seeking a Data Scientist 2 to support various Optum Insights data science projects. This position is responsible for end-to-end model development for our clients in provider and payer segments. We are investing significantly in new capabilities to design, develop and deliver better solutions for these clients. We are seeking people with proven experience conceptualizing, defining and delivering solutions that enable data science teams to build and scale Machine Learning and Artificial Intelligence models that will power these solutions. Primary Responsibilities Take lead on data science projects to design and implement models and experiments from end to end, including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation Improve and extend the analytic methods in our products Conduct hands-on data analysis and predictive analytics on large datasets Effectively communicate complex technical results to business partners Support and drive analytic efforts around machine learning and innovation Work with a great deal of autonomy to find solutions to complex problems Review the work of others and serve as a leader/mentor Subject matter expert for our clients Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor’s degree in Biostatistics, Mathematics, Economics, Computer Science, Theoretical Physics, Quantitative Social Sciences, Statistics, Information Systems, or relevant experience 3+ years of hands-on experience developing machine learning/deep learning models (Can be business/corporate experience and/or academic), Gen AI solutions 3+ years of experience working with healthcare data Experience applying computational algorithms and statistical methods to structured and unstructured data Experience breaking down and clearly defining problems Experience communicating highly technical results to a diverse audience Solid proficiency in advanced data science tools such as Python, Spark, SQL Comfort working as part of a team and taking the lead, as opposed to solo projects Telecommute is available Preferred Qualifications Masters degree Biostatistics, Mathematics, Economics, Computer Science, Theoretical Physics, Quantitative Social Sciences, Statistics, Information Systems Experience leading data science projects Experience reviewing the work of others Experience with deploying ML models in Azure, AWS, and/or Google Cloud Experience with agile product development At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together Principal Data Engineer is responsible for management of the full technical lifecycle of program for given modules, with a technical focus, including the strategy, design, development, and end-of-life of new, existing or acquired applications. Primary Responsibilities Lead the design, development, and maintenance of robust data pipelines and infrastructure for cloud cost management Architect and implement scalable data models and dbt workflows to support advanced analytics and reporting Conduct complex data analysis using SQL, Python (in Jupyter notebooks), and other tools to identify cost optimization opportunities, trends, and anomalies Develop and automate advanced reporting and dashboards using tools like PowerBI, incorporating predictive analytics and machine learning insights Lead the development and implementation of AI and bot strategies to automate data analysis tasks and enhance team efficiency Mentor and guide junior team members in data engineering best practices, cloud technologies, and analytical techniques Collaborate with data scientists and engineers to build and deploy machine learning models for forecasting, anomaly detection, and other FinOps use cases Champion data governance and ensure data quality across the cloud cost management platform Drive continuous improvement within the team, identifying opportunities to enhance processes and tools Partner with stakeholders across the organization to understand their data needs and deliver actionable insights Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor's degree in Computer Science, Data Science, or a related field 5+ years of experience in data engineering or data analysis, with a focus on cloud cost management Deep expertise in SQL and Excel Proven experience building data pipelines Solid experience with reporting and dashboarding tools like PowerBI Proven excellent leadership, mentorship, communication, and problem-solving skills Preferred Qualifications Extensive experience with major cloud service providers (GCP, AWS, Azure) and cloud cost management tools Hands-on expertise with a high-level programming language (e.g., Python) Extensive experience working with Jupyter Notebooks or similar tools Experience leading the development and implementation of AI and bot strategies for data analysis automation Solid experience with data modeling, dbt, and data warehousing concepts Experience architecting and building robust data pipelines using Azure Data Factory and Databricks (or similar tools on other cloud plat At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Leverage AI/ML technologies to transform and improve current Optum system. This involves working with large-scale computing frameworks and data analysis systems Produce innovative solutions driven by exploratory data analysis from unstructured, diverse datasets. They apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement Collaborate closely with business and product teams to grasp the requirements and translate vague concepts into tangible AI solutions. Possess solid problem solving and implementation skills to bring these solutions to life and work with engineering teams to build scalable, flexible product pipelines Adapt to an agile, fast-paced environment, and maintain a passion for exploring and integrating cutting-edge AI technologies to support future projects Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor’s / master’s degree in computer science, Math/Statistics, Electrical Engineering, Industrial Engineering, Bioinformatics, or another technical field that provides mathematical training 5+ years of Python development 3+ years of experience with AI/ML technologies and working with predictive analytics, image processing, Generative AI, or related technologies 3+ years of experience with AI Cloud services like Azure ML, Databricks, Azure OpenAI, or similar services in GCP / AWS 1+ years of experience in LLMs (Large Language Models) in cloud (Azure, GCP, AWS) and RAG (Retrieval-Augmented Generation) Experience in building enterprise grade AI-driven solutions Experience in designing and implementing effective prompts for LLMs to ensure optimal performance and accuracy Experience in data ingestion, transformation, and management processes Familiarity with frameworks/libraries such as TensorFlow, PyMuPDF, Tesseract Demonstrated skills in data analytics and the ability to work with large datasets to extract meaningful insights Preferred Qualification Proven ability to find AI solutions for undefined problems Soft Skills Ability to be a fast learner and self-driven Ability to work independently on complex AI projects

Job Overview: We are seeking an experienced Senior Data Analyst with 3-6 years of experience in Risk Modeling and Insurance Analytics. The ideal candidate should have hands-on expertise in SAS, SAS Viya, and SQL, along with a strong background in Life Insurance products and risk modeling. This is a full-time, office-based role in Mumbai, requiring close collaboration with cross-functional teams to develop risk models, deliver scorecards, and drive data-driven decision-making. Key Responsibilities: 1. Apply expertise in the Indian Insurance market to develop risk models and predictive analytics solutions. 2. Utilize SAS, SAS Viya, and SQL for data modeling, analysis, and reporting. 3. Develop and implement risk modeling strategies with measurable business impact. 4. Leverage deep knowledge of Life Insurance products and processes to design analytics solutions. 5. Manage and deliver analytics projects within deadlines while ensuring accuracy and quality. 6. Work on large datasets to identify key risk factors, customer behavior trends, and business insights. 7. Develop and implement scorecards, propensity models, and predictive analytics frameworks. 8.Collaborate with stakeholders to align analytics initiatives with business objectives. Desired Candidate Profile: a. Bachelors degree in Computer Science, Statistics, Mathematics, or related fields. b. 3-6 years of proven experience in data analytics, particularly in BFSI/Insurance domains. c. Strong expertise in SAS & SQL (mandatory); Python is a plus. d. Hands-on experience in risk modeling, scorecards, and propensity models. e. Advanced proficiency in Microsoft Excel for data analysis and reporting. f. Excellent problem-solving skills and attention to detail. g. Strong communication and stakeholder management abilities. h. Experience in handling large datasets and delivering high-quality analytics solutions. Preferred Skills: a. Experience in financial risk modeling, credit risk, or fraud analytics. b. Exposure to AI/ML techniques for insurance analytics is a plus. c. Knowledge of data visualization tools like Power BI or Tableau is advantageous.

Key Responsibilities Develop and implement a comprehensive analytics strategy aligned with organizational objectives. Lead cross-functional projects using advanced data modeling and analysis techniques to uncover strategic insights and process optimization opportunities. Design, build, and maintain data models, dashboards, reporting systems, and performance metrics to support key business decisions. Drive critical business processes such as demand forecasting and the Sales & Operations Planning (S&OP) process. Generate actionable sales recommendations for the trade sales team. Optimize business processes like supply chain networks and inventory management through predictive and prescriptive data modeling. Oversee the delivery of analytical reports and performance insights across functions. Manage and streamline processes related to data intake, validation, mining, engineering, visualization, and reporting. Anticipate and plan for future analytical needs related to people, technology, budgeting, and business objectives. Apply advanced analytics techniques to enhance commercial routines and decision-making. Lead data insight initiatives and ensure effective stakeholder collaboration. Clearly communicate the impact of analytics-driven insights across internal and external teams. Perform critical analysis and deliver actionable business recommendations. Educational Qualifications B.E./B.Tech/M.Tech in Computer Science, Statistics, Data Management, or Business Intelligence OR MBA/PGDM in Data Science, Business Analytics, Business Intelligence, Sales, or Marketing Work Experience Minimum 4+ years of experience in data analytics, including monitoring, managing, manipulating, and drawing insights from complex datasets. Proven track record working with data visualization tools such as Power BI, Tableau, Raw, or chart.js. Preferred/Additional Requirements Strong understanding of data mining principles, predictive analytics, and integrating data from multiple sources (on-premises and cloud-based). Experience with analytical and statistical techniques including hypothesis development, A/B testing, data analysis, and drawing conclusions. Ability to generate actionable insights and recommendations for business units. Team Structure Will work closely with multiple vendor teams . Key Interfaces Internal: Supply Chain, Sales, and Finance Teams External: Analytics vendors Functional Competencies Strong problem-solving and quantitative analysis skills Ability to manage multiple projects, processes, and cross-functional teams simultaneously Excellent collaboration, communication, and stakeholder management skills Behavioral Competencies Critical Thinking: Ability to evaluate complex issues, make informed decisions, and deliver innovative solutions Professionalism: Demonstrates integrity, accountability, strong work ethic, and ethical behavior

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Frequence is looking for Engineering Manager, Insights and Analytics to join our dynamic team and embark on a rewarding career journey Team Leadership: Provide guidance, mentorship, and support to a team of engineers, ensuring their professional growth and development Project Management: Oversee the planning, execution, and delivery of engineering projects within the defined scope, budget, and timeline Technical Expertise: Possess a deep understanding of the engineering domain relevant to the team's work and be able to provide technical guidance when necessary Collaboration: Foster effective collaboration between engineering teams and other stakeholders such as product managers, designers, and quality assurance teams Resource Allocation: Allocate resources efficiently, balancing workloads and priorities to maximize productivity and meet project goals Risk Management: Identify potential risks and develop contingency plans to mitigate them, ensuring smooth project execution Performance Evaluation: Conduct regular performance assessments, provide feedback, and identify areas for improvement to help team members grow professionally Process Improvement: Continuously evaluate and enhance engineering processes, tools, and methodologies to optimize efficiency and quality Skills:Technical Expertise: Strong technical background in the relevant engineering field, enabling you to understand and guide your team effectively Leadership Abilities: Exceptional leadership and communication skills to inspire and motivate your team members, and to collaborate effectively with other stakeholders Project Management: Proficiency in project management methodologies to plan, execute, and deliver projects successfully Problem-Solving: Strong analytical and problem-solving skills to address technical challenges and make sound decisions Decision-Making: Ability to make informed and timely decisions, considering the project requirements and team capabilities

We are looking to hire a Senior Manager, Customer Analytics to join our team in Bangalore! Reporting to the Director of Customer Insights & Analytics, youll lead a high-performing team of analysts and Subject matter authorities to deliver customer-centric insights, business intelligence, and data-driven strategies. In this role, youll act as a strategic partner to global collaborators across Marketing, Sales, and CRM, helping drive improvements in customer experience, marketing performance, and commercial outcomes. Youll also play a key role in mentoring talent, crafting analytics processes, and scaling insight capabilities spanning multiple business units. What Youll Do: Lead and mentor a team of 68 analysts and data professionals, encouraging a collaborative, high-performance culture Drive customer analytics initiatives including segmentation, cohort analysis, and performance tracking Partner with global Sales, Marketing, CRM, and Data leaders to align on priorities and deliver actionable insights Translate sophisticated data into clear recommendations and compelling narratives for non-technical collaborators Influence senior-level decision-making through data-driven storytelling and strategic insight Coordinate end-to-end delivery of analytics projects across divisions, ensuring quality and business relevance Improve and standardize analytics tools, processes, and documentation for scalability and consistency Collaborate with Tech and Data Engineering teams to improve customer data infrastructure and analytics capabilities Serve as a trusted advisor to senior leadership on demonstrating customer intelligence for business growth Leverage AI to improve team productivity and analytics efficiency What Youll Bring: Extensive experience in data analytics, customer insights, or marketing analytics, with a proven record in team leadership and management Optimally led customer-centric analytics initiatives within global or matrixed organizations Sophisticated analytical skills with hands-on expertise in SQL and tools like Python, R, or similar statistical platforms Strong proficiency in BI tools such as Power BI and Google Data Studio Familiar with cloud-based data platforms like Google BigQuery and similar analytics stacks Skilled in communicating sophisticated analytical insights clearly and persuasively to senior collaborators Business-savvy approach with the ability to translate data into impactful strategic actions Proven success in mentoring and developing high-performing analytics teams

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Interested and Experience Candidates connect over my mail navjot.kumar@wipro.com Role & responsibilities 1. Collecting, cleaning, and analysing large datasets using statistical software and tools, such as R and Python. 2. Creating and maintaining data visualizations and dashboards to effectively communicate insights and trends to stakeholders. 3. Collaborating with cross-functional teams to identify business needs and develop data-driven solutions. 4. Conducting ad-hoc analyses to support business decisions and strategies. 5. Developing and maintaining data quality standards and processes to ensure accuracy and reliability of data. 6. Communicating complex data findings in clear and concise language to non-technical stakeholders. Preferred candidate profile 1. Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field. 2. Strong proficiency in at least one statistical programming language, such as R or Python. 3. Experience with data visualization tools and techniques, such as Tableau or Power BI. 4. Familiarity with data warehousing concepts and techniques, such as ETL and data modelling. 5. Strong problem-solving and critical thinking skills, with the ability to analyse and interpret complex data sets. 6. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. 7. Familiarity with machine learning and predictive modelling techniques is a plus

We are looking for a highly skilled and experienced Credit Analyst to join our team at Equitas Small Finance Bank Ltd. The ideal candidate will have 1-2 years of experience in the BFSI industry. Roles and Responsibility Analyze credit data to determine client creditworthiness. Develop and maintain relationships with clients to understand their financial needs. Conduct thorough credit risk assessments and provide recommendations. Collaborate with cross-functional teams to develop and implement credit policies. Monitor and report on credit portfolio performance metrics. Stay up-to-date with industry trends and regulatory changes affecting credit analysis. Job Requirements Strong understanding of credit principles, including credit scoring and risk modeling. Excellent analytical and problem-solving skills with attention to detail. Ability to work effectively in a fast-paced environment and meet deadlines. Strong communication and interpersonal skills, with the ability to build rapport with clients. Proficiency in credit management software and Microsoft Office applications. Ability to think critically and make sound decisions under pressure.

Build and deploy scalable ML models and MLOps pipelines in collaboration with data scientists Required Candidate profile 6–12 yrs in ML development, Python, model tuning, and enterprise AI deployment.

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team Deliver No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management % trained on new skills, Team attrition % Mandatory Skills: Data Science. Experience8-10 Years.

Responsibilities Lead the design, development, and deployment of machine learning and GenAI models with a strong focus on AWS AI architecture. Collaborate with cross-functional teams to identify business opportunities and develop data-driven solutions. Provide technical leadership and mentorship to the data science team. Conduct research and stay updated on the latest advancements in machine learning and artificial intelligence. Drive the implementation of best practices for data collection, preprocessing, and model evaluation. Communicate effectively with stakeholders to understand their requirements and translate them into actionable data science projects. Contribute to the development of data science strategies and roadmaps. Skill Requirements A minimum of 10+ years of experience in data science, with a focus on machine learning and artificial intelligence. Proven track record of leading and delivering complex data science projects. Expertise in building and deploying machine learning and GenAI models at scale using AWS AI services. Strong programming skills in languages such as Python, R, or Java, with proficiency in leveraging AWS AI SDKs and APIs. In-depth knowledge of statistical modeling, data mining, and predictive analytics. Mandatory Skills: Data Science. Experience5-8 Years.