64 Predictive Modelling Jobs

As an Ind & Func AI Decision Science Analyst in the Accenture Strategy & Consulting Global Network Data & AI team, your role involves contributing to the growth of insurance businesses by developing cutting-edge analytic capabilities. Here's what you can expect in this position: Role Overview: - Help architect, design, build, deploy, deliver, and monitor advanced analytics models for various insurance challenges - Collaborate with cross-functional global teams to understand complex business & engineering problems in insurance and create data-driven solutions for actionable insights and operational enhancements - Extract data from multiple sources and present it in a clear and understandable manner to provide valuable insights to both technical and non-technical audiences Qualifications Required: - Strong expertise in AI/ML tools, techniques & methods - Demonstrated experience in strategy & consulting within the insurance domain - Ability to work effectively in a diverse, global community About Accenture Global Network: Accenture Global Network is a dynamic platform that combines Strategy & Consulting with Data and Artificial Intelligence, driving Accenture's future growth. As part of this network, you will have continuous opportunities for learning and development, while being surrounded by a vibrant global community that fosters business innovation. Accenture's commitment to employee growth is exemplified by its ranking as the 10th* on the 2023 Worlds Best Workplaces list. Please note that the job description provided does not contain any additional details about the company.,

As a Business Analytics Senior Analyst at our company, you will be an integral part of the International Markets Medical Economics team. Your primary focus will be on network (provider contracting) analytics, where you will be responsible for producing high-quality, actionable insights. These insights will drive strategic decision-making, optimize medical costs, and improve provider performance across various markets. Key Responsibilities: - Prepare and deliver medical cost insight presentations on a bimonthly basis for the relevant geography or P&L managers - Develop and maintain dashboards for provider cost benchmarking and comparative analysis to support provider negotiations and network tiering - Conduct claims and utilization deep dives to identify cost drivers, pricing trends, and savings opportunities, presenting results in clear business terms - Highlight disease trend analyses and emerging clinical focus areas to inform targeted clinical initiatives and programs - Support the network team in setting financial targets by providing insights, commentary, and clear analysis in the Monthly Operating Report Required Skills and Competencies: - Proficiency in Qlik Sense, Python, AWS, SQL, and Microsoft Excel - Strong understanding of healthcare data and knowledge of provider contracting processes - High proficiency in English (written and verbal) - Ability to translate complex data into clear, actionable insights for non-technical audiences - Collaborative approach with stakeholders across multiple geographies and cultures Education & Experience: - Bachelor's degree in Economics, Statistics, Mathematics, Data Science, Healthcare Management, or related field - 5-9 years of experience in healthcare analytics, medical economics, or provider network analysis - Experience in a multinational or multi-market environment Join our team and contribute your expertise to make a significant impact on our strategic decision-making processes and provider performance optimization efforts.,

Role Overview: As an Analyst at Lowe's Pricing Analytics team, your primary role will involve developing and maintaining descriptive and predictive analytics models and tools to support Lowe's pricing strategy. You will collaborate closely with the Pricing team to translate pricing goals into data and analytics requirements. Utilizing open source and commercial data science tools, you will gather and analyze data to provide data-driven insights, trends, and identify anomalies. Your expertise in statistical and machine learning techniques will be crucial in answering relevant questions and providing retail recommendations for the company to achieve its targets. Key Responsibilities: - Translate pricing strategy and business objectives into analytics requirements. - Develop processes for collecting, exploring, structuring, and cleaning large datasets from internal and external sources. - Validate data, detect outliers, and perform root cause analysis to prepare data for statistical and machine learning models. - Research, design, and implement statistical and machine learning models to solve business problems. - Ensure accuracy and reliability of model results and apply them to relevant business use cases. - Educate the pricing team on interpreting and utilizing machine learning model results effectively. - Design and execute A/B tests, multivariate experiments, and randomized controlled trials to evaluate the effects of price changes. - Conduct advanced statistical analyses to extract actionable insights from experimentation data. - Lead and manage analytics projects, ensuring they are completed on time and aligned with business objectives. - Explore and implement new analytical techniques, tools, and industry best practices. - Collaborate with cross-functional teams to define, prioritize, and develop innovative solutions. - Keep up to date with developments in data science, machine learning, statistics, and experimentation techniques. - Mentor junior analysts to foster skill development and growth within the team. Qualifications Required: - Bachelor's or Master's degree in Engineering, Business Analytics, Data Science, Statistics, Economics, or Mathematics. - 6-12 years of relevant experience in advanced quantitative analysis, statistical modeling, and machine learning models. Additional Details: At Lowe's India, you will be part of a team that supports the $97 billion home improvement business through technology, analytics, business operations, finance & accounting, product management, and shared services. The company leverages new technologies and innovative methods to maintain a competitive edge in the market.,

In this role at NTT DATA, you will be responsible for driving the sales and revenue analytics strategy, developing forecasting and predictive models, identifying sales growth opportunities, aligning sales strategies, and engaging with stakeholders to provide data-driven insights for strategic decision-making. Key Responsibilities: - Lead and evolve the analytics strategy across the sales funnel, including pipeline generation, conversion, and revenue realization. - Develop AI-driven models for revenue forecasting, win probability scoring, lead-to-deal conversion, and risk identification. - Collaborate with sales leaders to identify whitespace and pipeline opportunities through data analysis. - Support commercial leaders by benchmarking key sales metrics and providing insights for initiatives like territory design and productivity enhancement. - Collaborate with senior stakeholders to deliver analytics-driven insights and support strategic decision-making. Qualifications: - 5-7 years of experience in sales analytics, forecasting, or commercial insights for IT services or B2B enterprise sales. - Tier 1 consulting experience with a focus on analytics-led sales or GTM transformation. - Proficiency in Excel, visualization tools (Power BI/Tableau), and experience with Python, R, or Alteryx. - Experience with CRM and pipeline systems like Salesforce. - Excellent business storytelling and analytical synthesis skills. About NTT DATA: NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. With a commitment to helping clients innovate, optimize, and transform for long-term success, NTT DATA invests over $3.6 billion each year in R&D. As a Global Top Employer, NTT DATA has diverse experts in more than 50 countries and offers services in consulting, data and artificial intelligence, industry solutions, application development, infrastructure management, and connectivity. NTT DATA is part of the NTT Group and headquartered in Tokyo. Please note that this is a remote working opportunity. As an Equal Opportunity Employer, NTT DATA is committed to diversity and inclusion. Be aware of third parties fraudulently posing as NTT DATA recruiters.,

As a quant working on the algorithmic trading platform for eFX, your role will involve: - Guiding models through the entire development lifecycle which includes back testing, preparing high quality documentation, and driving the models through the internal model review and approval process - Overseeing the ongoing performance of deployed models through reactive and proactive support, monitoring, and reporting - Developing analytics to assist in smarter risk management of the trading books - Laying out a formal architecture around which a lot of the tools can be built - Working very closely with traders across various markets to build a wide spectrum of tools - Engineering innovative solutions using a variety of approaches such as time-series forecasting predictive modelling, cluster analysis, dimensionality reduction, etc. - Developing and managing quantitative analytics to identify the market dislocations and trading opportunities in eFX markets Qualifications required for this role include: - Talented programmers with experience in e-trading business and related fields - Inquisitive spirit and ability to contribute extensively to the digital transformation of businesses If you are passionate about leveraging your programming skills in the eFX domain and are excited about working closely with traders to develop cutting-edge tools for algorithmic trading, this role could be a perfect fit for you.,

This job opportunity based in Australia offers you the chance to join the School of Civil and Environmental Engineering at UNSW as a Lecturer in a Teaching and Research role. Your main responsibility will be to cover the work of academics within the school who have secured ARC fellowship appointments. You will be involved in high-quality teaching and research in transport engineering, focusing on emerging technologies such as predictive modelling, real-time traffic analytics, and autonomous vehicle integration. This role provides you with the opportunity to contribute to sustainable mobility and smart infrastructure innovation in the field of transport engineering. Reporting to the Head of School, you will not have any direct reports. The position is at Level B with a salary range of $127,947 to $150,830 per annum plus 17% superannuation. It is a full-time role on a fixed-term contract for 4 years, located in Kensington, Sydney, Australia. UNSW is a unique workplace where you will be part of a diverse and talented community dedicated to doing extraordinary things. Together, you will strive to be thoughtful, practical, and purposeful in all endeavors. The School of Civil and Environmental Engineering is within the Faculty of Engineering and is committed to developing well-educated graduates and conducting internationally distinguished research to meet the needs of the discipline, industry, and society. To qualify for this position, you should have a PhD in a related discipline or relevant work experience, a proven commitment to staying updated with discipline knowledge, experience in teaching and learning design at undergraduate and/or postgraduate levels, proficiency in educational technologies, evidence of teaching effectiveness, and a passion for educational excellence. Additionally, you should have a track record in research, ability to work in a team, excellent communication skills, and an understanding of UNSW's aims, objectives, and values. If you are interested in a career that focuses on independent research and excellent teaching, please apply by submitting your CV, Cover Letter, and responses to the Skills and Experience. The deadline for applications is 11:55 pm (Sydney time) on Wednesday 1st October 2025. For further details on specific responsibilities, refer to the position description available via JOBS@UNSW. For any inquiries, please contact Eugene Aves, Talent Acquisition Consultant at eugene.aves@unsw.edu.au.,

As an Industry & Functional AI Decision Science Analyst at Accenture Strategy & Consulting within the Global Network Data & AI team, specializing in the Insurance practice, you will play a crucial role in helping clients innovate and grow their businesses through advanced analytics solutions. With job locations in Gurugram and Bengaluru, you will be at the forefront of transforming the insurance industry by leveraging cutting-edge AI and ML tools and techniques. Accenture's Global Network Insurance Data & AI Practice is dedicated to assisting clients across the insurance value chain, from Underwriting to Claims to Servicing, and Enterprise Functions. By developing analytic capabilities that include data access, reporting, predictive modeling, and Generative AI, we empower our clients to outperform their competition. Your responsibilities will include collaborating with cross-functional global teams to address complex business challenges and translate them into data-driven solutions that drive actionable insights and operational enhancements. In this role, you will have the opportunity to architect, design, build, deploy, deliver, and monitor advanced analytics models tailored to various insurance issues. By consuming data from diverse sources and presenting information in a clear and understandable manner, you will provide valuable insights to technical and non-technical stakeholders. Additionally, you will have the chance to mentor junior team members, contributing to their professional growth and development. Joining Accenture's Global Network means becoming part of a dynamic and diverse community that thrives on pushing the boundaries of business capabilities. With a focus on continuous learning and growth opportunities, you will be part of an organization deeply invested in your personal and professional development. As Accenture ranks 10th on the 2023 World's Best Workplaces list, you can expect a supportive and inclusive work environment that fosters collaboration and innovation.,

As the Lead People Analytics Analyst at Tekion, you will be responsible for driving advanced people analytics initiatives that play a crucial role in strategic decision-making throughout the employee lifecycle. This role will require a combination of deep analytical expertise and business acumen to deliver insights, forecast trends, and influence People strategies related to talent, engagement, retention, and organizational effectiveness. Your duties and responsibilities will include designing and executing advanced analytics projects related to workforce planning, talent management, diversity & inclusion, and organizational health. You will utilize sophisticated data analysis techniques to gain deeper insights into workforce trends, improve HR practices, and inform strategic decision-making. Collaboration with senior leaders in People, Finance, and other departments will be essential to deliver data-driven insights that support strategic planning and people initiatives. In this role, you will be expected to build predictive models and dashboards tracking key talent metrics such as attrition, engagement, hiring effectiveness, and promotion equity. You will go beyond basic reporting to identify patterns, predict outcomes, and recommend solutions to enhance areas like recruitment, retention, engagement, and DEI. Translating complex data into compelling visualizations and narratives that inform executive decision-making will be a key aspect of this position. Ensuring data accuracy, integrity, and governance across all people data sources and reporting platforms will be essential. You will collaborate with HRIS and IT teams to optimize data pipelines, automation, and infrastructure for scalable reporting. Additionally, mentoring team members and contributing to the development of best practices, tools, and knowledge-sharing will also be part of your responsibilities. As a Lead People Analytics Analyst, you will lead highly complex, cross-functional analytics projects with broad organizational impact. Anticipating workforce trends and building solutions to address emerging needs will be a key aspect of this role. You will operate independently with strategic alignment, regularly advising senior HR and business leaders on data-informed actions. Your expertise in people analytics, workforce modeling, and storytelling with data will be recognized as you connect talent data to business outcomes. To qualify for this position, you should have 7+ years of experience in data analytics, business intelligence, or people analytics, along with 5+ years of direct experience working with HR or workforce-related datasets. A Bachelor's or advanced degree in Data Analytics, Statistics, Business, Economics, or a related field is preferred. Advanced proficiency in SQL, data visualization tools (e.g., Tableau, Power BI, Looker), and Excel is required. Experience with predictive modeling, statistical analysis, and HR tech ecosystems (e.g., Workday, OneModel, Visier) is highly beneficial. Programming skills in SQL, Python, or similar are strongly preferred, along with strong communication skills and the ability to influence executive stakeholders with data-driven insights.,

As a Talent Management professional at Medanta, you will play a crucial role in identifying and nurturing high potential talent within the organization. Your responsibilities will include utilizing data-driven insights and talent tools to identify and develop talent, creating diverse talent pools, collaborating with the talent acquisition team to enhance external talent pipelines, and designing bespoke talent development programs. You will be expected to have at least 8 years of experience in Talent Management or Leadership Development roles, along with relevant qualifications. Project Management experience is preferred, and proficiency in Stakeholder Management and Influencing skills is essential. Your expertise in Talent Management or Leadership Development, particularly in high-stakes conversations, will be highly valued. Experience in the B2C industry will be an added advantage. Medanta, with its network of hospitals and clinics across multiple cities, is committed to providing world-class healthcare services. As we continue to expand our facilities and explore new avenues within the healthcare ecosystem, we are seeking exceptional individuals to join us in achieving our vision and realizing their professional aspirations. If you are passionate about talent identification, workforce planning, and creating organization-wide career pathways, and if you have a track record of success in talent management, leadership development, and project management, we invite you to be a part of our dynamic team at Medanta.,

As a skilled professional in the field of analytics and consulting, your main responsibilities will involve leading and implementing advanced analytical processes. This includes data/text mining, model development, and prediction to facilitate informed business decisions. You will utilize your analytical expertise to examine structured and unstructured data from various sources, providing valuable insights and recommending high-quality solutions to leadership at all levels. Your role will also entail planning initiatives from concept to execution with minimal supervision and effectively communicating results to diverse audiences. Furthermore, you will be tasked with developing a comprehensive understanding of Customer Experience touchpoints through internal and external sources. This knowledge will enable you to creatively address business challenges and guide your team from project conceptualization to execution. Your decision-making process will be driven by data, statistical and quantitative analysis, modeling, and fact-based management. Additionally, you will offer expert consultative advice to senior leadership, share best practices, and promote knowledge sharing across teams. Your role may also involve providing consultation and supporting communities of practice excellence across different teams and organizations. In your position, you will lead cross-functional projects and programs, presenting your findings to management formally. You will work on multiple complex assignments simultaneously and provide regular consultation to senior leadership. Your role will require curiosity, inquisitiveness, and the ability to reason effectively while asking relevant questions. You will be responsible for identifying available data sources, collaborating with subject matter experts, and exploring data sets to gather, synthesize, and analyze relevant information. By refining hypotheses, discovering new relationships, insights, and analytic paths from the data, you will play a crucial role in driving data analytics within the enterprise. Your expertise in statistical analysis will enable you to solve technical problems, validate findings, and identify appropriate algorithms to uncover patterns and trends in data. Your role will also involve presenting strategic recommendations to senior executives, utilizing strong storytelling capabilities to derive insights from data. By helping stakeholders understand the data behind their results, you will secure stakeholder buy-in and provide dependable execution on various projects. Furthermore, you will lead the discovery process with stakeholders to identify business requirements, present business scenarios effectively, and communicate findings in easily understandable terms. To excel in this role, you should possess relevant experience in analytics, consulting, informatics, and statistics. Key skills required include data and business analytics, advanced statistics and predictive modeling, stakeholder management, and project management. Experience in pricing and revenue management, customer segmentation analytics, and exposure to predictive analytics, ML/AI techniques are advantageous. An educational background in MBA/Masters in Information Systems, Computer Science, or a quantitative discipline from reputable institutes is preferred. Proficiency in tools such as Oracle, SQL Server, Teradata, SAS, Python, and visualization tools like Tableau/Power BI/Spotfire is essential. Additionally, knowledge of cloud computing, big data, and Azure is beneficial for this role.,

Are you passionate about service excellence and looking for an opportunity to work for a global organization that is committed to making a positive impact on people and the planet IFF, a global leader in food, beverage, health, biosciences, and sensorial experiences, is currently seeking a highly motivated and results-driven individual to join our Finance - CI function as an Analyst Celonis Developer. As an Analyst based in our Finance Shared Service Centre located in Hyderabad, India, your primary responsibility will be to deliver business intelligence services to Celonis. You should be proficient in designing, building, and developing Celonis Process Mining with Celonis. This role will report to the AVP Operations and CI Lead. Your key responsibilities will include developing data model codes for back-end data models using PQL/SQL, creating front-end user interface dashboards, views, analyses, KPIs, reports, and process rules. You will also be tasked with designing and configuring Celonis applications from a functional perspective, analyzing source data to identify inconsistencies, and recommending process improvements based on SAP standards. Driving automation through Action Flows and Tasks, as well as transforming data, will be integral parts of your role. To qualify for this position, you should have a minimum of 4+ years of experience in designing, building, and developing Celonis Process Mining with Celonis. You must be able to code PQL scripts for data modeling, design front-end views, analyses, and KPIs. Expertise in data extraction methodologies and the ability to translate functional requirements into technical details for Celonis deployment are essential. Additionally, you should be skilled in creating customized SQL scripts to transform, create, and capture necessary fields from source systems to accurately map out processes. Full lifecycle deployment experience as an application developer, proficiency in SAP and Snowflex, and the ability to handle large source data and perform predictive modeling will be advantageous. Strong communication, presentation skills, and the ability to collaborate effectively with teams across different countries, centers, and time zones are also crucial for success in this role. IFF is an Equal Opportunity Employer. Join us in our mission by visiting IFF.com/careers/workplace-diversity-and-inclusion to learn more about our workplace diversity and inclusion initiatives.,

Job role- Threat Intelligence Data Analyst Experience - 9 to 12 years Location - Bangalore , chennai, pune A. Required Skills i. Proven experience in data cleansing, transformation, and pipeline development ii. Proficiency with graph-based platforms (e.g. DataWalk, Neo4j) and relational databases (e.g. SQL Server, Vertica) iii. Ability to work with structured and unstructured data sources, including JSON and XML formats. iv. Understanding of graph theory applications in intelligence (e.g. link analysis, centrality) v. Experience working with structured and unstructured data sources vi. Strong grasp of data governance, metadata management, and data modelling principles vii. Basic Python development skills B. Desired Skills i. Experience in threat intelligence, cybersecurity, or risk analytics domains ii. Exposure to predictive modelling, machine learning, or scenario analysis iii. Experience working in regulated environments or with sensitive data iv. Knowledge of authentication methods used in API systems and their implementation. v. Familiarity with ontologies or semantic data models

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. We are counting on your unique voice and perspective to help EY become even better. Join us in building an exceptional experience for yourself and contribute to creating a better working world for all. As an AI/ML Developer in Technology Assurance at EY, you will have the opportunity to contribute technically to Risk Assurance client engagements and internal projects. Your role will involve assisting Seniors & Managers, actively participating in client engagement, anticipating and identifying risks, and ensuring that work is of high quality and reviewed thoroughly. By joining our team, you will help create a positive learning culture, assist fellow team members, and deliver assignments effectively. We are seeking professionals with a minimum of 2 years of experience to be part of a cross-functional team responsible for the full software development life cycle. This role offers a great opportunity to work with a leading firm and play a key role in the growth of a new service offering. Key Skills and Accountabilities: - Develop robust AI/ML models to drive insights and enhance decision-making processes across various business lines. - Use predictive modeling to optimize customer experiences, revenue generation, ad targeting, and other business outcomes. - Proficiency in Machine learning, NLP, LLM, GenAI, deep learning, and generative AI techniques. - Apply advanced machine learning techniques to solve complex problems. - Design and implement innovative solutions for workflow orchestration using Python, Airflow, and Terraform. - Collaborate with cross-functional teams to assess control effectiveness and facilitate remediation activities. To qualify for this role, you must have: - Minimum 2 years of experience working with Large Scale AI/ML models. - Technical knowledge of Big Data Platforms, AI technologies, and DevOps services. - Proficiency in AI/ML programming languages such as Python, R, SQL. - Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras. - Implement monitoring and logging tools to ensure AI model performance. - Automation skills using Python scripting, databases, and advanced technologies. Preferred Qualifications: - Bachelor's Degree or higher in relevant disciplines. - Relevant certifications are considered a plus. - Self-driven problem-solver who thrives in the fast-paced world of software development. Join EY in building a better working world, creating long-term value for clients, people, and society, and building trust in the capital markets. Our diverse teams in over 150 countries provide assurance and help clients grow, transform, and operate by asking better questions to find new answers for today's complex issues.,

About Asper.ai: At Asper.ai, the organization is dedicated to transforming businesses into adaptive, intelligent enterprises by facilitating autonomic decision-making at the convergence of demand and supply. The platform, fueled by advanced AI and machine learning technologies, streamlines intricate decision-making processes, fostering growth and enhancing workflows in sectors like CPG, retail, and supply chain management. As a member of the Fractal family, the goal is to innovate business decision-making by furnishing data-driven insights that yield tangible outcomes. About the Role: Currently, there is an opportunity for an adept Lead Data Scientist to become a part of the expanding team at Asper.ai. In this significant role, you will leverage your proficiency in machine learning, deep learning, and data science to tackle intricate business challenges, specifically focusing on demand forecasting, supply chain optimization, and price recommendation. Job Title: Lead Data Scientist Location: Bangalore | Hybrid Reporting to: Director of Data Science Position Type: Senior Individual Contributor What you are going to do: - Conduct exploratory data analysis to reveal trends, patterns, and insights from sophisticated datasets. - Develop, train, and implement machine learning and deep learning models for time series scenarios like demand forecasting, inventory management, and pricing. - Extract data insights, generate visual representations, and convey findings to both technical and non-technical stakeholders. - Construct and sustain data science pipelines for model creation, deployment, monitoring, and enhancements. - Collaborate with engineering, product, and business teams to incorporate models into operational systems and align them with client objectives. - Research and prototype novel algorithms and modeling techniques to enhance solution performance. - Monitor and assess model performance, making iterative adjustments based on findings. What we are looking for: - A minimum of 6 years of experience in roles related to data science, machine learning, or analytics. - Hands-on experience with time series analysis, forecasting, and predictive modeling. - Proficiency in Python (NumPy, pandas, Scikit-learn, TensorFlow, or PyTorch), SQL, and Excel. - Familiarity with deploying machine learning solutions and managing model life cycles. - Capability to collaborate with engineering and product teams to define and execute projects. - Ability to elucidate modeling decisions, data assumptions, and outcomes to stakeholders. - Exposure to statistical methods, optimization, and model monitoring frameworks. - Previous experience working within CPG, FMCG, or retail industries is advantageous. Why Join Asper.ai - Play a pivotal role in revolutionizing how businesses in CPG, retail, and supply chain sectors make data-informed decisions. - Engage in cutting-edge AI/ML initiatives that challenge the frontiers of decision-making automation. - Be part of a collaborative and inclusive work environment that fosters innovation and personal development. - Join a rapidly growing, innovative AI company with prospects for career advancement and leadership. What We Offer: - Competitive salary and benefits package. - A dynamic, inclusive work culture that promotes continual learning and development. - Opportunities to contribute to impactful projects that will influence the future of decision-making at scale. Ready to create an impact and become a part of an AI-powered revolution If you are passionate about data science and adept at solving intricate challenges in the CPG, FMCG, or retail industries, Asper.ai looks forward to hearing from you!,

We are a technology-led healthcare solutions provider driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for individuals who are bold, industrious, and nimble. With Indegene, you will experience a unique career journey that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. Looking to kick-start your career We understand the significance of the initial years of your professional journey, which lay the foundation for your future growth. At Indegene, we offer a differentiated career experience where you will work at the exciting intersection of healthcare and technology and be mentored by some of the brightest minds in the industry. We provide a global fast-track career path that aligns with Indegene's high-speed growth. At Indegene, we are purpose-driven, ensuring that healthcare organizations are future-ready, with customer obsession as our driving force. We are bold in our actions, nimble in decision-making, and industrious in our approach to work. Role: Senior Manager Data Science Overview: We are in search of a dynamic and experienced Senior Manager to join our team, playing a pivotal role in understanding client requirements, assessing existing ecosystems, and leading the implementation for our pharma clients. Key Responsibilities: - Collaborate closely with clients to understand their requirements and objectives, including implementing Omnichannel strategy. - Lead the assessment of existing ecosystems, including client portfolio plans, technical architecture, and data models. - Work with cross-functional teams to design and implement optimal solutions, ensuring seamless integration with existing processes. - Utilize pharma industry exposure to provide strategic insights and recommendations for client objectives. - Demonstrate proficiency in working with diverse pharma datasets and assess their suitability for integration into the proposed solution. - Apply data science skills, especially in MLOps, to ensure robust and scalable model deployment. - Build strong client relationships, act as a trusted advisor, and ensure client satisfaction throughout the implementation process. - Provide training and support to internal teams for successful project implementations. - Manage multiple projects simultaneously, ensuring progress across all projects with proper prioritization and workload distribution. - Develop and share innovative analytical techniques, processes, and tools that can be leveraged across projects and engagements. - Support business development activities by building new capabilities and participating in client meetings as a subject matter expert. - Contribute to thought leadership by writing whitepapers and articles at the BU and organization level. - Stay updated on industry trends and implement best practices to enhance in-house capabilities. Desired Profile: Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, or Pharmaceutical Sciences. - 9 years of experience leading analytical projects in the pharma domain. - 7 years of experience in advanced analytics, including AI, machine learning, predictive modeling, and statistics modeling. - Experience in pharma commercial analytics is advantageous. - Proven track record of successfully implementing omnichannel strategy or similar technologies in the pharmaceutical industry. - Strong understanding of the pharma ecosystem, key data sources, industry trends, and compliance requirements. - Proficiency in machine learning techniques and algorithms, such as XGBoost, Random Forest, Linear Regression, Logistic Regression, etc. - Experience in areas like risk-score modeling, customer segmentation, impact assessment, attribution analytics, etc., is preferred. - Proficiency in data science tools including Python, SQL, PySpark, Dataiku, AWS cloud services, Git, Tableau, PowerBI, etc. - Experience in MLOps is advantageous. - Strong client management and communication skills with the ability to build and nurture relationships. - Excellent analytical, problem-solving, and project management skills. - Willingness to work in a demanding and result-oriented team environment. - Excellent communication skills with the ability to convey complex ideas clearly. EQUAL OPPORTUNITY Locations: Bangalore, KA, IN If this opportunity excites you, apply below to explore a fulfilling career at the convergence of healthcare and technology with Indegene.,

Role & responsibilities SKILLS AND COMPETENCIES Technical Skills: • Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow) • Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques • Experience with big data processing using Spark for large-scale data analytics • Version control and experiment tracking using Git and MLflow • Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing. • DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations. • LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management. • MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining. • Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems. • LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security. • General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP. • Experience in creating LLD for the provided architecture. • Experience working in microservices based architecture. Domain Expertise: • Strong mathematical foundation in statistics, probability, linear algebra, and optimization • Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation • Expertise in feature engineering, embedding optimization, and dimensionality reduction • Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing • Experience with RAG systems, vector databases, and semantic search implementation • Proficiency in LLM optimization techniques including quantization and knowledge distillation • Understanding of MLOps practices for model deployment and monitoring Professional Competencies: • Strong analytical thinking with ability to solve complex ML challenges • Excellent communication skills for presenting technical findings to diverse audiences • Experience translating business requirements into data science solutions • Project management skills for coordinating ML experiments and deployments • Strong collaboration abilities for working with cross-functional teams • Dedication to staying current with latest ML research and best practices • Ability to mentor and share knowledge with team members Preferred candidate profile Microservices LLM, Agentic AI Framework, Predictive modelling

As a Data Analyst in our organization, you will be responsible for analyzing complex datasets to derive meaningful insights that will drive strategic decision-making. Your role will involve creating, maintaining, and optimizing dashboards and reports using tools such as Power BI and Tableau. You will be expected to provide data-driven recommendations to the CEO and the executive leadership team. Collaborating with the CEO and the strategy team, you will play a crucial role in understanding our business objectives and challenges. By conducting in-depth analyses of business performance, market trends, and the competitive landscape, you will identify opportunities for improvement and develop actionable strategies. Your proficiency in SQL will be utilized to query databases and extract relevant data while ensuring data integrity through cleansing, transformation, and validation processes. Additionally, you will leverage Python and statistical techniques for predictive analysis, trend forecasting, and scenario planning. Applying machine learning algorithms, you will solve business problems and provide valuable insights for strategic decisions. Effective collaboration with cross-functional teams such as Finance, Marketing, and Operations will be essential as you gather data requirements and offer analytical support. Presenting your findings in a clear and actionable format to senior management will be a key aspect of your role. Furthermore, you will be involved in the development of automated reporting tools and analytical solutions to improve data accessibility and streamline processes. Your expertise in data visualization, storytelling, and user experience will contribute to the implementation of best practices in these areas. Ideally, you should have a minimum of 4-7 years of experience in a similar role and hold a Graduate or Post Graduate degree. If you are passionate about data analysis, strategic insights, and stakeholder management, we welcome you to apply for this exciting opportunity.,

As a Conversational AI Developer, your primary responsibility will be to design, develop, and deploy conversational AI agents using Microsoft Copilot Studio and Power Virtual Agents. You will utilize Power Platform tools such as Power Apps, Power Automate, and Dataverse to create intelligent agent solutions from end to end. Applying data science techniques like machine learning and predictive modeling, you will enhance the functionality of the agents. Your role will also involve integrating the agents with enterprise systems, data sources, and APIs to provide contextual, real-time responses. You will be required to implement custom workflows, triggers, and connectors to expand the capabilities of the agents. Additionally, part of your job will involve optimizing conversation flows, implementing prompt engineering best practices, and utilizing analytics for continuous improvement. Join our team where we are committed to diversity and inclusion.,

The position involves leading the solution development and implementing advanced analytical approaches in the supply chain domain across various industries. You will serve as a key interface between the delivery team and the supply chain team, ensuring a deep understanding of client business and supply chain operations. Key responsibilities include leading projects in areas such as demand forecasting, inventory management, simulation, mathematical optimization models, procurement analytics, distribution/logistics planning, and network planning and optimization. Qualifications and Experience: - 4+ years of analytics experience in supply chain, preferably in industries such as hi-tech, consumer technology, CPG, automobile, retail, or e-commerce supply chain. - Master's degree in Statistics/Economics, MBA, or M.Sc./M.Tech with specialization in Operations Research, Industrial Engineering, or Supply Chain. - Hands-on experience in delivering projects using statistical modeling. Skills and Knowledge: - Proficiency in statistical modeling software like R, Python, and SQL. - Experience in advanced analytics and statistical techniques such as regression, decision trees, ensemble machine learning algorithms, etc. - Strong proficiency in Excel, PowerPoint, and Word applications. - APICS-CSCP or PMP certification would be advantageous. - In-depth knowledge of supply chain management. - Familiarity with linear/nonlinear optimization. - Ability to structure problems through data-driven decision-making. - Excellent project management skills, including time and risk management. - Capability to leverage cutting-edge analytical tools and techniques for innovative solutions. - Effective liaison with diverse stakeholders and functional disciplines. - Experience with Optimization tools like Cplex, ILOG, GAMS would be beneficial. Skills: Predictive modeling, Supply Chain Management (SCM), SQL, MySQL, Python, Statistical Modeling, Data Analytics, R Programming, Supply chain optimization.,

You will play a crucial role in developing and maintaining descriptive and predictive analytics models and tools to support Lowe's pricing strategy. Working closely with the Pricing team, you will be responsible for translating pricing goals and objectives into data and analytics requirements. By leveraging both open source and commercial data science tools, you will gather and analyze data to provide data-driven insights, trends, and identify anomalies. Applying various statistical and machine learning techniques, you will address relevant questions and offer retail recommendations. Collaboration with product and business teams will be essential to drive continuous improvement and maintain a competitive position in the pricing domain. Your core responsibilities will include translating pricing strategy and business objectives into analytics requirements, developing processes for collecting and enhancing large datasets, conducting data validation and analysis, designing and implementing statistical and machine learning models, ensuring the accuracy and reliability of model results, applying machine learning outcomes to business use cases, educating the pricing team on interpreting machine learning model results, designing and executing experiments to evaluate price changes, performing advanced statistical analyses, leading analytics projects, exploring new analytical techniques and tools, collaborating with cross-functional teams, promoting future-proof practices, staying updated with industry developments, and mentoring junior analysts. To excel in this role, you should possess 6-12 years of relevant experience in advance quantitative analysis, statistical modeling, and machine learning, along with a Bachelor's or Master's degree in Engineering, Business Analytics, Data Science, Statistics, Economics, or Mathematics. You must have expertise in Regression, Sampling techniques, hypothesis testing, Segmentation, Time Series Analysis, Multivariate Statistical Analysis, and Predictive Modelling. Additionally, you should have extensive experience in corporate Data Science, Analytics, Pricing & Promotions, Merchandising, or Revenue Management, as well as proficiency in SQL, Python, R, or SAS, enterprise-level databases, data visualization tools like Power BI and Tableau, and cloud platforms such as GCP, Azure, or AWS. Technical expertise in Alteryx and Knime would be desirable for this role.,

We are offering internships in various functions, providing valuable exposure and learning opportunities in the following areas: Marketing: The internship program will involve gaining insight into marketing strategy development and implementation. You will have the chance to work on digital marketing initiatives such as Newsletters, Whitepapers, and Research Surveys. Having prior experience or interest in Digital Marketing, Social Media Growth Hacking, and Digital Collateral development will be advantageous. Strategy: In this internship program, you will be exposed to building strategic roadmaps to drive key business objectives. The experience will cover a broad range of skills and functions including Research, Analytics, and Data Mining. Prior experience or interest in data analysis, trend analysis, and predictive modeling will be beneficial. Operations: Interns in this program will gain a strong understanding of process improvement, Theory of Constraints (ToC) fundamentals, and process automation. The focus will be on applying Six Sigma principles to operations processes and utilizing our proprietary cloud platform for process automation. Having an interest or prior experience in process efficiency will be an advantage. HR: The internship program will offer exposure to managing and streamlining HR processes within the organization. As our HR systems are largely automated, the emphasis will be on leveraging data and analysis to enhance the efficiency of HR processes. Any previous experience in HR processes will be beneficial. CEO Office: Interns will have the unique opportunity to work directly with the Managing Director on strategic and impactful initiatives for the organization. The experience will cover a wide spectrum of skills, markets, and scenarios. Prior experience in M&A, strategy, and process innovation will be advantageous.,

As a Machine Learning Engineer at our company, you will be responsible for designing, developing, and implementing machine learning models, with a focus on deep learning, reinforcement learning, and predictive modeling. You will leverage popular frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn for AI/ML development. Additionally, you will work on Natural Language Processing (NLP) projects, utilizing tools like NLTK, Langchain, and large language models such as GPT and LLAMA. Your role will involve performing crucial tasks such as data preprocessing, cleaning, and transformation to ensure the efficiency of machine learning pipelines. You will also conduct data exploration and statistical analysis to extract actionable insights from the data. Furthermore, you will use visualization tools like Power BI, Tableau, Matplotlib, Plotly, and Seaborn to create interactive dashboards and visualizations for better understanding and communication of the results. This is a full-time position that requires you to work in-person during day shifts. The ideal candidate will have a Bachelor's degree as their educational background, with a preference for candidates with at least 3 years of total work experience, specifically in artificial intelligence for 3 years. If you are passionate about machine learning, adept at utilizing various frameworks and tools, and have a strong foundation in AI/ML concepts, this role offers an exciting opportunity to contribute to cutting-edge projects and drive innovation within the field.,

As a Lead Operations Analytics at our organization, you will be an integral part of the Capacity Planning / Operations Analytics team, focusing on delivering impactful data analytics and intelligence to our business partners. Your primary responsibility will be to offer a wide range of analytics and strategic insights to facilitate data-driven decisions. You will play a key role in conducting consultative analytics, generating executive-level recommendations for business partners and line finance, and providing ad hoc analytical support when required. The analyses and insights you provide will be crucial for driving business planning and ongoing decision-making processes. Your role will involve: - Providing analyses and strategic recommendations to the team, management, and business partners - Synthesizing data, analyses, and conclusions into self-service dashboards or presentations for senior management - Identifying opportunities to optimize work processes for enhanced team efficiency and effectiveness - Establishing proactive partnerships and communication channels with business and finance partners - Utilizing tools and business knowledge to continuously offer insightful information, reporting, and analytics that align with evolving business needs - Collaborating with the business to evaluate investment opportunities and provide cost-benefit analyses to facilitate decision-making - Contributing positively to the finance community through your energy, enthusiasm, and team spirit Key skills required for this role include expertise in Data Analytics and modeling, particularly in predictive modeling and time series forecasting within the workforce optimization domain. You should possess exceptional analytical and problem-solving abilities, along with the capability to work independently through ambiguous requests. Furthermore, your role will entail translating research findings and quantitative analyses into easily understandable visuals for non-technical audiences, enabling clear communication of recommendations. Additionally, the ability to adapt to new tools and technologies, prioritize shifting priorities, and communicate effectively across various organizational levels are essential for success in this role. A curious mindset, willingness to challenge the status quo, and strong interpersonal skills are also crucial attributes. While proficiency in Python and the confidence to influence senior leaders would be advantageous, the primary focus lies on your technical competence, behavioral skills, and the ability to impact the organization positively through data-driven insights and strategic support. Your work will significantly impact the organization by enhancing staffing strategies, enabling informed decision-making processes, and providing valuable insights for business planning and performance improvement. By collaborating closely with business partners, you will contribute to the development of operational forecasts, staffing strategies, and long-term business plans, ultimately driving improved business performance and results. We are seeking a candidate with at least 5 years of experience in the financial services industry, with a background in using data and analytics to consult on strategic initiatives. A degree in a quantitative analysis field, proficiency in Business Intelligence tools, and hands-on experience with time-series and advanced machine learning techniques are prerequisites for this role. Additionally, familiarity with Tableau, Power BI, and SQL, as well as previous experience collaborating with US teams, would be beneficial.,

The GIS Specialist will play a crucial role in integrating geographic information systems into urban design initiatives within our Planning and Urban Design team. Your responsibilities will include providing technical expertise in handling large geospatial datasets, conducting spatial data analysis, and visualization to support various projects and guide design strategies. You should possess skills in satellite imagery interpretation, spatial data visualization, and contribute technical insights to assist internal consultants, the broader Dar Group, and external collaborators. Your duties will involve: Data Collection Processing: - Collect, process, and validate geographic data from various sources, ensuring accuracy and integrity. - Maintain scalable, secure, and compliant data workflows. Advanced Spatial Analysis: - Conduct complex spatial analyses to identify trends and spatial relationships for urban planning, infrastructure design, and landscape strategies. - Utilize spatial statistics, geospatial analysis, and predictive modeling techniques for project-specific challenges. Mapping, Visualization, and Web-based Tools: - Prepare high-quality GIS mapping, presentations, technical drawings, and other deliverables in a timely manner. - Develop and manage interactive web maps, story maps, and 3D GIS applications using tools like ArcGIS Online and Enterprise. - Oversee GIS activities planning, data flow management, distribution, and geospatial database design and development. - Maintain accurate geospatial documentation and support in complex project work planning. Mandatory Qualifications and Work Experience Required: - Bachelor's degree or postgraduate qualification in geographical information systems (GIS), geography, or computer sciences. - Minimum of 3 years of work experience. - Proficiency in ESRI product suite, including ArcGIS Online, Enterprise, and ArcGIS Pro. - Experience in creating web maps, story maps, and 3D GIS web apps. - Familiarity with Rhino/Grasshopper, Python programming, and strong analytical skills. - Extensive experience with Raster data, satellite imagery, image classification, and attention to detail. Good to Have: - Understanding of Geo statistics. - Knowledge of programming languages such as Python, JavaScript, and basic scripting for data processing and test automation. - Willingness to learn and enhance programming skills further.,

Exp in SAS, SQL and large amounts of data US Stakeholder exp Exp of acquisition/account management credit risk models, transactional fraud models, marketing models, collections models, finance models, loss models, Loss forecasting (PD/LGD/EAD/CECL) Required Candidate profile SAS SQL Python Credit risk Credit Card Statistical Modelling Predictive Modelling