529 Statistical Analysis Jobs - Page 11

The role in the Directors Office at IIHS involves providing support to the IIHS Director in establishing a world-class interdisciplinary University and managing the development of IIHS Schools and Labs, Academic, Research, Practice, and Capacity Development Programmes. The position requires working across a wide range of themes such as sustainable development, urban development, governance, technology, infrastructure, public policy, and urban science. As a Manager/Consultant in the Directors Office, your core responsibility will include managing IIHS Schools and Labs, Research, Practice, Capacity Development, and Academic programmes. You will collaborate with various teams within the institution and be involved in strategic institution building processes. Key activities and tasks will involve: - Developing, implementing, and monitoring strategic plans for IIHS Schools, Labs, Programmes, and Functions - Tracking IIHS performance, rankings, and reputation - Coordinating IIHS School, Programme, and project management - Managing the Director's calendar and engagements - Organizing internal and external events and meetings - Driving special initiatives from the Directors Office - Supporting other IIHS activities including academics, research, training, and operations - Participating in all activities of Institution-Building at IIHS The ideal candidate should have 8 to 10 years of relevant work experience, academic qualifications from leading universities, and domain knowledge of urbanisation-related issues. Excellent communication skills in English and proficiency in at least one Indian language are required. Additionally, the candidate should possess managerial skills, international education experience, and expertise in using MS Office tools. This position is based in Bengaluru, with potential travel to other locations in India. IIHS is committed to diversity and encourages applications from women, people with disabilities, and individuals from economically and socially excluded communities. If you are interested in this opportunity, please reach out to hr@iihs.co.in for further clarifications.,

We are looking for an Optimization Specialist who will be responsible for developing and deploying advanced analytical solutions using mathematical optimization techniques. In this role, you will be instrumental in shaping the future of manufacturing operations by creating innovative scheduling solutions that optimize complex business processes. As the ideal candidate, you should excel in formulating and solving various optimization problems such as LP, MILP, combinatorial optimization, and scheduling. You should be proficient in applying innovative algorithms to achieve optimal solutions. Your primary responsibilities will include designing, developing, and implementing advanced mathematical optimization models and solvers to address complex business challenges in areas like scheduling, routing, resource allocation, and inventory management. You will also be involved in identifying and modeling optimization problems across different manufacturing businesses and implementing robust optimization algorithms. In addition to this, you will be required to design, develop, and deploy machine learning models to analyze large datasets and generate insights that support data-driven decision-making, specifically related to enhancing the performance of optimization algorithms. You will also need to keep abreast of the latest developments in optimization and computational intelligence and incorporate these advancements into problem-solving strategies. The qualifications we are looking for in a candidate include 1-3 years of experience in Operations Research and Python programming, a Bachelor's degree in Operations Research, Applied Mathematics, Statistics, Computer Science, Data Science, or a related field, experience in building optimization models from scratch, knowledge of constraint programming, and experience with both non-commercial and commercial optimization solvers. Strong statistical analysis skills and effective communication skills are also essential for this role. Join Techtinium, a company passionate about innovative products, where you will be part of a diverse team dedicated to delivering superior software solutions. At Techtinium, your skills will be honed across the entire software development lifecycle in a positive, thought-provoking, and collaborative environment. If you are ready for an exciting professional adventure, explore opportunities with us at https://techtinium.com/. We look forward to welcoming you to our team!,

Are you eager to thrive in one of the most competitive online marketing environments for one of the world's leading e-commerce companies As the Marketing Analytics Manager at Priceline, you'll be responsible for driving our best deals to customers by managing one or more key third-party distribution channels (Google, Bing, Kayak, TripAdvisor, or Trivago). You'll take ownership of channel strategy, develop innovative ideas, and execute them to completion. This role is eligible for our hybrid work model: Two days in-office. Given the critical role Meta Search channels play in our business, this is a high-visibility position, with regular exposure to senior management. You'll have the opportunity to work with cutting-edge tools and methodologies in operations management, machine learning, and data analytics. What sets Priceline apart is the freedom to take a great idea and run with it. You'll have the chance to collaborate across teams including tech, product, and leadership to bring your ideas to life. We cultivate an agile, dynamic environment where anyone can drive meaningful change, as long as you bring the vision, energy, and determination to succeed. In this role you will get to: - Strategy: Define and implement growth strategies by leveraging deep data analysis and building strong relationships with channel partners to drive increased bookings and profitability. - Project Execution: Lead and deliver strategic improvements by collaborating with product, data, and marketing teams. - Experimentation: Design, implement, and analyze A/B testing to optimize performance and deploy channel improvements. - Communication: Present your vision and outcomes to key stakeholders, including senior marketing leaders and C-suite executives. Who you are: - Bachelor's degree or higher in a quantitative field (e.g., Mathematics, Economics) - 5+ years of experience in data analytics, demonstrating strong statistical analysis and numerical reasoning abilities. - 2+ years of experience in digital marketing - Excellent interpersonal skills with the ability to simplify complex concepts and effectively communicate with senior management - A proactive, impact-driven mindset focused on customer success - Strong statistical knowledge and analytical skills: Ability to apply statistical methods and techniques to analyze complex data sets, interpret results, and inform decision-making - Positive attitude towards change and adaptability in a fast-paced environment - A collaborative, team-player mentality with a willingness to take ownership of channel performance - Fluent in English (both verbal and written) Must have experience with both: Technical: R or Python, SQL, BigQuery, Oracle, Tableau, Excel Non-Technical: Ownership of Business Performance, Proactive Decision Making, Strategy Forming, and Problem Solving, Management of Partners & Relationships Illustrated history of living the values necessary to Priceline: Customer, Innovation, Team, Accountability, and Trust. The Right Results, the Right Way is not just a motto at Priceline; it's a way of life. Unquestionable integrity and ethics are essential. #LI-AR1 If you want to be part of something truly special, check us out!,

At PwC, as a member of the data and analytics team, your primary focus will be on harnessing data to uncover insights and drive strategic decision-making for clients. Through the use of advanced analytics techniques, you will assist clients in optimizing their operations and achieving their business objectives. In this role, you will be responsible for utilizing your expertise in data manipulation, visualization, and statistical modeling to tackle complex business challenges through data analysis. PwC US - Acceleration Center is currently looking for a skilled GenAI Data Scientist to join our team at the Senior Associate level. As a GenAI Data Scientist, you will be instrumental in the development and implementation of machine learning models and algorithms for our GenAI projects. The ideal candidate should possess a strong background in data science, particularly focusing on GenAI technologies, and demonstrate proficiency in statistical analysis, machine learning, data visualization, and application programming. With a minimum of 4 years of hands-on experience, the successful candidate will have the following responsibilities: - Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. - Develop and implement machine learning models and algorithms for GenAI projects. - Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. - Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. - Validate and evaluate model performance using appropriate metrics and techniques. - Develop and deploy production-ready machine learning applications and solutions. - Utilize object-oriented programming skills to build robust and scalable software components. - Implement Kubernetes for container orchestration and deployment. - Design and build chatbots using GenAI technologies. - Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. - Keep abreast of the latest advancements in GenAI technologies and propose innovative solutions to enhance data science processes. Requirements for this role include: - 3-5 years of relevant technical/technology experience, with a specific focus on GenAI projects. - Proficiency in programming languages such as Python, R, or Scala. - Strong familiarity with machine learning libraries and frameworks like TensorFlow, PyTorch, or scikit-learn. - Experience in data preprocessing, feature engineering, and data wrangling techniques. - Solid grasp of statistical analysis, hypothesis testing, and experimental design. - Knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud. - Proficiency in data visualization tools and techniques. - Excellent problem-solving and analytical skills. - Strong communication and collaboration abilities. - Capability to thrive in a fast-paced and dynamic work environment. Preferred qualifications include: - Experience with object-oriented programming languages such as Java, C++, or C#. - Experience in developing and deploying machine learning applications in production environments. - Understanding of data privacy and compliance regulations. - Relevant certifications in data science or GenAI technologies. Nice to have skills: - Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. - Familiarity with LLM-backed agent frameworks like Autogen, Langchain, Semantic Kernel, etc. - Proficiency in chatbot design and development. Professional and educational background: - Any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA.,

You are looking for a visionary Data Science Manager with expertise in Generative AI and Retrieval-Augmented Generation (RAG) to lead AI initiatives from both technical and business perspectives. In this role, you will lead a team of data scientists and ML engineers, design Generative AI models, develop statistical models, and integrate knowledge retrieval systems to enhance performance. Your responsibilities will include mentoring the team, designing scalable AI/ML solutions, implementing Generative AI models, and developing statistical models for forecasting and segmentation. You will also be responsible for integrating databases and retrieval systems, ensuring operational excellence in MLOps, and collaborating with various teams to identify high-impact use cases for GenAI. To qualify for this role, you should have a Masters in Computer Science or related fields, 10+ years of data science experience with 2+ years in GenAI initiatives, proficiency in Python and key libraries, and a strong foundation in statistical analysis and predictive modeling. Experience in cloud platforms, vector databases, and MLOps is essential, along with a background in sectors like legal tech, fintech, retail, or health tech. If you have a proven track record in building and deploying LLMs, RAG systems, and search solutions, along with a knack for influencing product roadmaps and executive strategy, this role is perfect for you. Your ability to translate complex AI concepts into actionable strategies and present findings to non-technical audiences will be crucial in driving AI/ML adoption and contributing to the company's innovation roadmap.,

As the Associate Director - Analytics at Games24x7, you will play a crucial role in leading the analytics function for our flagship fantasy sports product, My11Circle. Your responsibilities will include developing and executing the data strategy, building and mentoring a high-performing analytics team, and driving data-informed decisions across all aspects of the My11Circle product lifecycle. You will be responsible for defining key performance indicators (KPIs) and establishing robust reporting frameworks to track product performance and user behavior. Collaborating with various stakeholders, such as product management, engineering, and marketing teams, you will provide actionable insights based on data analysis to drive product innovation, user growth, and revenue optimization. To excel in this role, you should possess a strong analytical background, deep understanding of product analytics principles, and proven experience in leading analytics teams. Your strategic thinking, combined with a hands-on approach, will enable you to translate complex data into actionable insights that directly impact the success of My11Circle. Your leadership skills will be crucial in building, mentoring, and leading a talented team of data analysts and scientists dedicated to supporting the My11Circle product. By fostering a data-driven culture within the team and organization, you will create an environment that promotes professional development and continuous learning. Additionally, you will oversee the design, development, and execution of in-depth analysis on user acquisition, engagement, retention, monetization, and gameplay patterns within My11Circle. Utilizing various analytical techniques, you will uncover key insights and trends, develop dashboards and reports, and drive the adoption of self-service analytics capabilities within the team. Furthermore, you will collaborate with the product team to design and analyze A/B tests and experiments to optimize product features, user flows, and marketing campaigns. You will also work with data engineering teams to ensure data availability, accuracy, and reliability for My11Circle analytics and contribute to the development of a scalable data infrastructure. If you are a passionate and experienced analytics leader with a deep understanding of product analytics and a desire to make a significant impact on a leading fantasy sports platform, we encourage you to apply. Join us at Games24x7, where you can leverage your expertise and drive data-informed decisions to shape the future of online gaming and fantasy sports.,

The ideal candidate for the role of People Analytics professional should have a strong background in transforming data into actionable insights to drive evidence-based HR decision-making. You will be responsible for designing, developing, and managing advanced dashboards and data visualizations using tools such as Tableau, Power BI, and other modern BI platforms. Building strong partnerships with key stakeholders across HR and the business is essential to deeply understand their challenges and translate their needs into actionable data solutions. In this role, you will need to develop and implement statistical models and machine learning solutions for HR analytics, while managing end-to-end data workflows including extraction, transformation, and loading (ETL). You will be required to design and deliver regular and ad-hoc reports on key HR metrics, ensuring data accuracy through thorough testing and quality checks. The successful candidate should have a Bachelor's degree in a related field, with a minimum of 5 years of experience in analytics, including specialization in people analytics and HR data analysis. Strong proficiency in RStudio/Python, SQL, data visualization tools such as Power BI or Tableau, machine learning, statistical analysis, and cloud platforms is required. Hands-on experience working with Oracle Cloud HCM data structures and reporting tools is highly desirable. You should bring strong problem-solving skills, effective communication abilities to convey data insights through compelling storytelling, and experience managing multiple projects independently in fast-paced, deadline-driven environments. An entrepreneurial mindset and leadership experience are key to successfully leading high-visibility analytics projects and driving collaboration across teams and departments. As a member of the Global People Analytics team, you will collaborate with key stakeholders within Talent Management, Talent Acquisition, Total Rewards, HR Services, and HR Information Systems to drive data-driven decision-making across the organization. This role offers an exciting opportunity to shape the future of people analytics, leverage advanced technologies, and contribute to high-impact, strategic HR initiatives.,

Silicon Labs is the leading innovator in low-power wireless connectivity, dedicated to building embedded technology that connects devices and enhances lives. By integrating cutting-edge technology into highly integrated SoCs, Silicon Labs equips device makers with the solutions, support, and ecosystems necessary for creating advanced edge connectivity applications. With headquarters in Austin, Texas, Silicon Labs operates in over 16 countries and is the preferred partner for innovative solutions in the smart home, industrial IoT, and smart cities markets. To learn more, visit www.silabs.com. In this role, you will lead and execute complex data science initiatives that drive high-impact business decisions. Your responsibilities will include developing, deploying, and communicating advanced analytical models. Additionally, you will offer technical guidance to junior data scientists and collaborate closely with cross-functional teams to achieve data-driven outcomes. Key Responsibilities: - Design and implement advanced statistical and machine learning models to address complex business challenges. - Lead full-cycle analytics projects, from problem definition to data exploration, model development, evaluation, and deployment. - Collaborate with stakeholders to align data science solutions with business objectives and priorities. - Provide technical mentorship to junior team members and facilitate knowledge sharing across the team. - Translate complex modeling outputs into actionable insights and present findings to senior leadership. - Stay updated on industry best practices and emerging trends in AI, machine learning, and data science tools. - Contribute to the enhancement of analytical workflows, code standards, and data governance. - Apply sound judgment to navigate ambiguous problems and propose scalable solutions. - Perform any other duties required to support the data science team and organizational goals. Required Qualification and Skills: - Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; Master's degree preferred. - Minimum of 4 years of experience in data science, machine learning, or advanced analytics. - Advanced proficiency in Python or R, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow). - Strong understanding of statistical analysis, experimental design, and model evaluation techniques. - Excellent written and verbal communication skills, with the ability to influence both technical and non-technical stakeholders. - Demonstrated experience in leading complex data projects and driving measurable business outcomes. - Experience with cloud-based data platforms (e.g., AWS, GCP, Azure) and MLOps practices is a plus. Benefits & Perks: Joining our highly skilled and close-knit team means you will have a significant impact on the product. We emphasize good work/life balance and strive to create a welcoming and fun environment. Additionally, the benefits and perks include Equity Rewards (RSUs), Employee Stock Purchase Plan (ESPP), insurance plans with Outpatient cover, National Pension Scheme (NPS), flexible work policy, and childcare support.,

We are looking for a curious and analytical Data Science Intern to join our data-driven team. This internship offers a great opportunity to work on real-world data projects, apply statistical methods, and acquire hands-on experience with data analysis and machine learning techniques. If you are passionate about data and keen to learn, we are interested in hearing from you! Your responsibilities will include assisting in collecting, cleaning, and analyzing large datasets. You will also be involved in developing predictive models, performing statistical analysis, and collaborating with team members to interpret data and derive insights. Additionally, you will support the creation of data visualizations and reports. Preferred experience for this role ranges from 0 to 5 years. This position is based in Mohali. If you are enthusiastic about data science and eager to contribute to meaningful projects, we encourage you to apply for this internship.,

Genpact is a global professional services and solutions firm that is committed to delivering outcomes that shape the future. With over 125,000 employees in more than 30 countries, we are driven by curiosity, agility, and the desire to create lasting value for our clients. Our purpose is to relentlessly pursue a world that works better for people. We serve and transform leading enterprises, including the Fortune Global 500, by leveraging our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently seeking applications for the position of Associate, Data Analyst to join our team. As an Associate, Data Analyst, you will be tasked with performing pricing of spare parts and driving data analytics for the business. Your responsibilities will include reviewing pricing on a periodic basis, identifying gaps, and making recommendations to enhance pricing strategies. Your responsibilities will include: - Data extraction, collation, and cleaning in MS Excel/Access - Ensuring the pricing data in ERP is kept up to date by identifying necessary activities and executing them - Handling ad hoc pricing analytics requests - Conducting various statistical and pricing analyses in Excel/Access - Improving process efficiencies through digitization and the implementation of machine learning algorithms - Supporting clients on data systems and analysis - Using statistical tools to sanitize, segment, and normalize historical pricing information and master invoice data sets for better price rate distribution visibility Qualifications we are looking for: Minimum qualifications: - Master's degree in research, statistics, math, economics, or a related analytical discipline - Fresh graduates from reputable institutions or 2 years of relevant work experience in the data analytics domain - Curiosity is a key trait we seek Preferred qualifications: - Proficiency with analytical and presentation tools such as Excel, VBA, and PowerPoint - Strong analytical skills with the ability to gather, analyze, and leverage large data sets for key business decisions - Proficiency in basic statistics - A can-do mindset - Knowledge of R, Python, Tableau, and Power BI is advantageous If you are passionate about data analytics and pricing strategies, and if you possess the qualifications and skills mentioned above, we encourage you to apply for this exciting role of Associate, Data Analyst at Genpact.,

As a marketing analytics company, Tatvic is dedicated to generating insights from data through a strong partnership with Google and its infrastructure. The company values performance, growth, and transformation, seeking future leaders who can balance execution with strategic vision. Tatvic's mission is to provide analytics consultation that bridges the gap between business objectives and data metrics, enabling businesses to make informed decisions that drive positive outcomes. In this role, you will lead client relationships by effectively managing expectations, gathering comprehensive requirements, and delivering timely results. You will support the client team with ongoing analytics needs and system maintenance, developing digital analytics strategies aligned with industry-specific key performance indicators (KPIs). By leveraging data, you will optimize business processes, identify growth opportunities, and monitor KPIs to drive performance improvements. Your responsibilities will include designing, building, and maintaining dashboards and visualizations for stakeholders, conducting statistical analysis and modeling to identify trends and growth opportunities, and contributing to ad-hoc business analyses and strategic initiatives. Collaboration across functions is essential to align analytics with business requirements and drive meaningful insights. To excel in this role, you must possess strong technical skills, including proficiency in Google Analytics (GA/GA4), Looker Studio, Power BI, Tableau, SQL (Intermediate to Advanced), and dashboarding and reporting tools. Furthermore, you should demonstrate excellent communication and documentation skills, along with the ability to think logically, solve analytical problems, and engage in storytelling with data to make insights actionable. Additionally, knowledge of tools such as Google Tag Manager (GTM), BigQuery, Google Ads, Optimize, DV360, statistical analysis, business acumen, and consulting experience will be advantageous. Understanding SLA metrics and ensuring delivery quality are key aspects of this role, alongside maintaining high task efficiency and delivery utilization metrics. Join Tatvic to be a part of a dynamic team driving analytics-driven decision-making for businesses.,

About Improzo At Improzo, we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused on delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders, and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role We're looking for a Data Scientist in Pune to drive insights for pharma clients using advanced ML, Gen AI, and LLMs on complex healthcare data. You'll optimize Pharma commercial strategies (forecasting, marketing, SFE) and improve patient outcomes (journey mapping, adherence, RWE). Key Responsibilities Data Exploration & Problem Framing: Proactively engage with client/business stakeholders (e.g., Sales, Marketing, Market Access, Commercial Operations, Medical Affairs, Patient Advocacy teams) to deeply understand their challenges and strategic objectives. Explore, clean, and prepare large, complex, and sometimes messy datasets from various sources, including but not limited to: sales data, prescription data, claims data, Electronic Health Records (EHRs), patient support program data, CRM data, and real-world evidence (RWE) datasets. Translate ambiguous business problems into well-defined data science questions and develop appropriate analytical frameworks. Advanced Analytics & Model Development: Design, develop, validate, and deploy robust statistical models and machine learning algorithms (e.g., predictive models, classification, clustering, time series analysis, causal inference, natural language processing). Analyze promotional effectiveness and patient persistency/adherence. Build models for patient journey mapping, patient segmentation for personalized interventions, treatment adherence prediction, disease progression modeling, and identifying drivers of patient outcomes from RWE. Contribute to understanding patient behavior, unmet needs, and the impact of interventions on patient health. Generative AI & LLM Solutions: Extract insights from unstructured text data (e.g., clinical notes, scientific literature, sales call transcripts, patient forum discussions). Summarize complex medical or commercial documents. Automate content generation for internal use (e.g., draft reports, competitive intelligence summaries). Enhance data augmentation or synthetic data generation for model training. Develop intelligent search or Q&A systems for commercial or medical inquiries. Apply techniques like prompt engineering, fine-tuning of LLMs, and retrieval-augmented generation (RAG). Insight Generation & Storytelling: Transform complex analytical findings into clear, concise, and compelling narratives and actionable recommendations for both technical and non-technical audiences. Create impactful data visualizations, dashboards, and presentations using tools like Tableau, Power BI, or Python/R/Alteryx visualization libraries. Collaboration & Project Lifecycle Management: Collaborate effectively with cross-functional teams including product managers, data engineers, software developers, and other data scientists. Support the entire data science lifecycle, from conceptualization and data acquisition to model development, deployment (MLOps), and ongoing monitoring in production environments. Qualifications Master's or Ph.D. in Data Science, Statistics, Computer Science, Applied Mathematics, Economics, Bioinformatics, Epidemiology, or a related quantitative field. 4+ years progressive experience as a Data Scientist, with demonstrated success in applying advanced analytics to solve business problems, preferably within the healthcare, pharmaceutical, or life sciences industry using pharma dataset extensively (e.g. sales data from Iqvia, Symphony, Komodo, etc., CRM data from Veeva, OCE, etc.) Must-have: Solid understanding of pharmaceutical commercial operations (e.g., sales force effectiveness, marketing, market access, CRM). Must-have: Experience working with real-world patient data (e.g., claims, EHR, pharmacy data, patient registries) and understanding of patient journeys. Strong programming skills in Python (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and/or R for data manipulation, statistical analysis, and machine learning. Expertise in SQL for data extraction, manipulation, and analysis from relational databases. Experience with machine learning frameworks and libraries. Proficiency in data visualization tools (e.g., Tableau, Power BI) and/or visualization libraries (e.g., Matplotlib, Seaborn, Plotly). Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is a significant advantage. Specific experience with Natural Language Processing (NLP) techniques, Generative AI models (e.g., Transformers, diffusion models), Large Language Models (LLMs), and prompt engineering is highly desirable. Experience with fine-tuning LLMs, working with models from Hugging Face, or utilizing major LLM APIs (e.g., OpenAI, Anthropic, Google). Experience with MLOps practices and tools (e.g., MLflow, Kubeflow, Docker, Kubernetes). Knowledge of pharmaceutical or biotech industry regulations and compliance requirements like HIPAA, CCPA, SOC, etc. Excellent communication, presentation, and interpersonal skills, with the ability to effectively interact with both technical and non-technical stakeholders at all levels. Attention to details, biased for quality and client centricity. Ability to work independently and as part of a cross-functional team. Strong leadership, mentoring, and coaching skills. Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge Analytics projects, transforming the life sciences industry. Collaborative and supportive work environment. Opportunities for professional development and growth.,

As a highly skilled Senior Data Scientist, you will bring expertise in Python, Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Azure Cloud Services to our team. Your primary responsibility will be to design, develop, and deploy advanced AI/ML models to facilitate data-driven decision-making processes. You must possess strong analytical skills, proficiency in AI/ML technologies, and hands-on experience with cloud-based solutions. Your key responsibilities will include designing and developing ML, NLP, and GenAI models to address complex business challenges. You will be tasked with building, training, and optimizing AI models using Python and various ML frameworks, as well as implementing Azure AI/ML services for scalable deployment. Additionally, you will develop and integrate APIs for real-time model inference and decision-making, collaborate with cross-functional teams, and ensure adherence to software engineering best practices and Agile methodologies. To excel in this role, you must stay updated on cutting-edge AI/ML advancements, conduct research on emerging trends, and contribute to the development of innovative solutions. Providing technical mentorship to junior data scientists, optimizing model performance in a production environment, and continuously enhancing models and algorithms will also be part of your responsibilities. The required skills and qualifications for this role include proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Hands-on experience in NLP techniques, expertise in Generative AI models, strong knowledge of Azure AI/ML services, and familiarity with CI/CD pipelines are essential. Additionally, you should have a strong understanding of software engineering principles, experience working in an Agile development environment, excellent problem-solving skills, and a background in statistical analysis, data mining, and data visualization. Preferred qualifications include experience in MLOps, knowledge of vector databases and retrieval-augmented generation techniques, exposure to big data processing frameworks, and familiarity with Graph Neural Networks and recommendation systems. Strong communication skills to convey complex ideas to technical and non-technical stakeholders, experience with AutoML frameworks, and hyperparameter tuning strategies will be advantageous in this role. This is a full-time or part-time permanent position with benefits such as health insurance and provident fund. The work schedule includes day shifts from Monday to Friday with weekend availability. An additional performance bonus will be provided based on your contribution to the team. If you have at least 8 years of experience in Python, Azure AI/ML services, Senior Data Scientist roles, and working with ML, NLP, and GenAI models, we encourage you to apply for this opportunity. The work location is in person to foster collaboration and innovation within the team.,

COEUS, a Red Nucleus company, is looking for a Director, Market Insights to join the global team. This remote-based role within the US offers you the opportunity to contribute to advancing knowledge and improving lives. As a premier provider of strategic learning and development, scientific advisory services, and medical communications solutions for the life sciences industry, our team of nearly 1000 full-time employees is committed to creativity, quality, and on-time delivery. At Red Nucleus, we value innovation and provide a thriving work environment that encourages our employees to reach their full potential. Our culture revolves around meaningful work, a strong sense of community, and enjoyment. We take pride in recognizing our employees and have been internationally acknowledged as a Great Place to Work. As the Market Insights Director, you will be responsible for leading and supporting research in various consulting and research engagements. Your role will involve managing multiple market research projects from design to final delivery, collaborating with team members, and mentoring analysts. The ideal candidate will have experience in life sciences, market access, and both quantitative and qualitative market research methodologies. Effective communication and a proactive approach are essential qualities for this role. Key Responsibilities: - Develop research design protocols for qualitative and quantitative market research engagements - Design screeners to recruit research participants and moderate interviews - Analyze primary research data to provide insights on drug pricing, market access, and related topics - Lead the development of client-ready research presentations - Collaborate with internal teams at COEUS and utilize appropriate software for efficient work completion Qualifications: - Bachelor's degree required (advanced degree preferred) in relevant fields such as social sciences, business, marketing, or healthcare - Minimum 5 years of experience in life sciences, market research, or related fields - Knowledge/experience in healthcare is highly desirable - Proficiency in qualitative and quantitative research methodologies - Strong communication, time management, and attention to detail skills What You Will Enjoy at Red Nucleus: - Comprehensive benefits and wellness programs - Generous paid time off and flexible work arrangements - Performance-driven environment with professional development opportunities - People-first culture promoting diversity, self-expression, and growth mindset - Celebratory events and support for community organizations - Global team-building programs and events If you are looking to join a dynamic team that values innovation and growth, apply now to become a part of Red Nucleus and contribute to advancing knowledge for better lives. Visit 1coeus.com to learn more about COEUS and our offerings.,

The Contracts and Procurement Engineer position is a pivotal role within the "Precast Works Competency Centre" (PWCC) at L&T Construction Group, operating as part of a strategic initiative. The primary objective of PWCC is to excel in precast works by upholding world-class standards in skill, quality, and safety. Supported by a dynamic lean team and cutting-edge technology, the centre is dedicated to ensuring cost-effective and timely project execution to drive long-term growth and meet the business requirements of L&T Construction Group. The focus of the centre encompasses enhancing efficiency, fostering innovation, embracing futuristic technologies, developing functional expertise, and integrating digital solutions. As the Learning and Organizational Development Lead at PWCC, your role will be instrumental in conceptualizing and implementing comprehensive capability-building programs aligned with the company's strategic objectives for precast projects. Key Responsibilities: - **Contract Management**: Analyze contracts for large tenders, review terms and conditions, eligibility criteria, qualifications, and bid offers. Identify risks, opportunities, and additional scope items that can be converted to Precast. Evaluate and manage contract terms to mitigate risks and ensure compliance. Review costing for efficient price bid offers. - **Cost Control**: Assist in monitoring expenses and supplier terms to maintain budgetary control and cost-effectiveness. - **Procurement Management**: Oversee procurement activities related to materials and services, ensuring timely and cost-effective acquisition across various departments. - **Supplier Sourcing**: Identify and assess specialized suppliers in precast works to ensure high quality, reliability, and cost-efficiency of materials and services. - **Rate Negotiation**: Collaborate with departments to negotiate contracts and purchase agreements for favorable terms and conditions. - **Project Collaboration**: Work closely with departments to align procurement with material requirements and project timelines. - **Rate Standardization**: Network with vendors to conduct rate analysis and establish standardized rates across different categories for all departments involved. - **Compliance**: Ensure adherence to company policies, industry regulations, and quality standards. - **Technology Integration**: Support the adoption of new technologies and best practices in procurement processes. - **Digital**: Utilize various Digital and AI tools to enhance efficiency in reading contracts, rate quotations, and terms & conditions. The ideal candidate for this role should possess a Bachelor's degree in Civil Engineering along with 6-7 years of relevant experience. Proficiency in analytical thinking, logical reasoning, data analysis, and statistical analysis is required to excel in this position. Join us in this exciting journey towards achieving excellence in precast works and contributing to the growth and success of L&T Construction Group.,

In this role, you are expected to contribute to Institutional Credit Management's (ICM) objective of providing comprehensive credit underwriting, identification, measurement, management, monitoring, and reporting for wholesale credit businesses. As part of the ICM In-Business Quality Assurance function, you will play a crucial role in verifying that established standards and processes are consistently applied. Your insights from quality assurance reviews will help assess the group's policies, procedures, programs, and practices related to wholesale credit risk management, enabling the identification of operational weaknesses, training needs, and process deficiencies. As the ICM In-Business Quality Assurance Data Analytics Vice President, your responsibilities include executing Quality Assurance Reviews (QARs), providing feedback on deficiencies and areas of improvement, and engaging with management, Independent Risk, and other stakeholders. You will report to the ICM In-Business Quality Assurance Data Lead and should ideally have experience in Business Audit or Risk Management, coupled with expertise in Machine Learning, Data Science, and Analytics within the context of Wholesale Credit Risk processes in global financial services firms. Key responsibilities of this role involve supporting the Head of Data Analytics in setting the global strategy for a robust data analytics and testing program, challenging the design and operation of data and credit processes, analyzing complex datasets, deriving insights from data, evaluating findings, assessing data accuracy, monitoring model performance, staying abreast of regulatory changes, and providing guidance on data-related issues. You will act as a subject matter expert for senior stakeholders, exercise independent judgment, and operate with a limited level of direct supervision. To be successful in this role, you should possess strong analytical skills, communication abilities, knowledge of Wholesale Credit Risk, leadership qualities, organizational skills, problem-solving capabilities, attention to detail, a drive for learning new technologies, and experience with programming languages and data analysis tools. A degree in a quantitative field and proficiency in tools such as SQL, Python, SAS, R, Tableau, and Power BI are preferred qualifications. If you are seeking a challenging role where you can contribute to enhancing data analytics within the context of Wholesale Credit Risk and collaborate with various stakeholders to drive improvements, this position may be an ideal fit for you.,

Schrdinger is a science and technology leader with over 30 years of experience developing software solutions for physics-based and machine learning-based chemical simulations and predictive analyses. We are currently looking for an application-focused Materials Informatics & Optoelectronics Scientist to join our team in our mission to enhance human health and quality of life by leveraging advanced computational methods. As a part of our Materials Science team, you will have the opportunity to engage in various projects spanning optoelectronics, catalysis, energy storage, semiconductors, aerospace, and specialty chemicals. The ideal candidate for this role will be a statistical and machine learning expert with strong problem-solving abilities. You should also be a materials science enthusiast familiar with RDkit, MatMiner, Dscribe, or other informatics packages. Proficiency in Python programming and debugging, along with knowledge of machine learning packages like Scikit-Learn, Pandas, NumPy, SciPy, and PyTorch is essential. Additionally, you should have experience in extracting datasets using large language models (LLM) or Optical Character Recognition (OCR) technologies. Collaboration with an interdisciplinary team in a fast-paced environment should be something you enjoy as a specialist in quantum chemistry or materials science. As a Materials Informatics & Optoelectronics Scientist, your responsibilities will include researching, curating, and analyzing datasets from literature and other sources using advanced techniques such as LLMs and OCR. You will collaborate with domain experts to ensure data accuracy and quality, particularly related to molecular structures, SMILES strings, and experimental measurements. Developing and validating predictive machine learning models for OLED devices and other optoelectronic applications will be a key aspect of your role. Furthermore, you will be expected to communicate results, present ideas to the team, develop tools and workflows for integration into commercial software products, and validate existing Schrdinger machine learning products using public or internally generated datasets. To qualify for this position, you should hold a PhD in Chemistry or Materials Science and possess hands-on experience in applying machine learning, neural networks, deep learning, data analysis, or chemical informatics to materials and complex chemicals. Familiarity with LLM, OCR technologies, and dataset extraction for ML model development is also required.,

The Healthcare Analytics Specialist position based in Gurugram requires 3 to 5 years of experience. You will be responsible for developing, maintaining, and optimizing data pipelines, including ingestion, transformation, and loading of internal and external sources. Collaboration with Operations is essential to design scalable, secure, and high-performing data workflows. Best practices in data governance, version control, security, and documentation must be implemented. Analytical models for cost, quality, and utilization metrics will be built and maintained using tools like Python, R, or SQL-based BI tools. Reports will be developed to communicate findings to stakeholders across the organization. Ingesting and preprocessing third-party data from various sources, ensuring compliance with transparency requirements and designing automated workflows for data validation are key responsibilities. Data quality assurance through validation checks, audits, and anomaly detection frameworks is crucial. Compliance with healthcare regulations such as HIPAA, HITECH, and data privacy requirements must be maintained. Participation in internal and external audits of data processes is expected. Continuous improvement and thought leadership are encouraged to enhance data processes, adopt new technologies, and promote a data-driven culture within the organization. Mentoring junior analysts and sharing best practices in data analytics, reporting, and pipeline development are part of the role. Required qualifications include a Bachelor's degree in health informatics, Data Science, Computer Science, Statistics, or a related field. Proficiency in data integration & ETL, databases & cloud, BI & visualization, and healthcare domain expertise is necessary. Analytical & problem-solving skills, soft skills, and strong project management abilities are also required. Preferred qualifications include advanced degrees, experience with healthcare cost transparency regulations, familiarity with DataOps or DevOps practices, certification in BI or data engineering, and experience in data stewardship programs & leading data governance initiatives. Joining this position offers opportunities for innovation through advanced analytics projects, growth by leading initiatives and mentoring others, and working in a supportive culture that values open communication, knowledge sharing, and continuous learning.,

Responsibilities Date posted 07/11/2025 End Date 07/15/2025 City Pune State/Region Maharashtra Country India Additional Locations Chennai, Tamil Nadu Location Type Onsite Calling all innovators find your future at Fiserv. Job Title Advisor, Statistical Analysis Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 8+ years of experience in data science, preferably in the payments or fintech industry. Proficiency in Python, SQL, and data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch). Strong understanding of payment systems, transaction flows, and fraud detection techniques. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, GCP, Azure). Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Thank you for considering employment with Fiserv. Please: Apply using your legal name Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable). Our commitment to Diversity and Inclusion: Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. Note to agencies: Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions. Warning about fake job posts: Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address. Share this Job Email LinkedIn X Facebook

3- 8 years of experience for Sr Statistical programming position, having strong understanding of SAS Base/Macros/GTL and experience of SDTM/ADAM/TLFs creation as per CDISC standards. Expertise in Base and Advance SAS programming. Development of the complex SAS macros that can be utilized across TAs in multiple studies, review of the developed SAS programs. Expertise in SQL, SAS Macros, Functions, SAS GTL, SAS, and other advanced SAS components. Location : - Bengaluru,Mumbai,Pune,Hyderabad Contact Person : - Sangeetha Tamil

As a Data Admin, you will leverage your expertise in Statistical Analysis, Machine Learning, Data Visualization, Predictive Modeling, Big Data, SQL, Data Mining, VBA, and Power BI to support category management teams in executing NDAs and Agreements. Your responsibilities will include agreement renewal, supplier premium program follow-up, and supplier business meeting review setup. You will develop and maintain trackers, generate monthly reports, and create visual dashboards representing sub-category spend by region. Additionally, you will work on workflow creation in Microsoft SharePoint and automate reports using Microsoft Excel Macros, VBA, and Power BI. The ideal candidate should possess a bachelor's degree in electrical engineering from a reputable institution. Essential requirements for this role include interpersonal skills, expertise in Microsoft Excel, Macro, and Power BI, creativity in Microsoft PowerPoint presentations, and proficiency in root cause and corrective analysis. Knowledge of Python and SQL would be advantageous. Your attitude and ability to work in a hybrid environment across different time zones are key selection criteria for this position.,

Hitachi Energy is currently seeking a skilled R&D Engineer - Product Development - Bushings to join the Transformers Business team in Bushing R&D, TC India, Vadodara, India. As part of this team, you will be involved in leveraging innovative technologies to transform energy and contribute to a sustainable energy future for current and future generations. The Transformers BU team at Hitachi Energy is dedicated to delivering social, environmental, and economic value through its comprehensive portfolio, which includes power transformers, traction transformers, insulation and components, digital sensors, and transformer services. The Company's transformers are utilized across various industries, from power generation, transmission, and distribution to metals and mining, oil and gas, commercial and infrastructure projects, and mobility. As the grid evolves, transformers play a crucial role in enhancing power quality and network management. Hitachi Energy is committed to innovation and sustainability, exemplified by the introduction of the TXpert Ecosystem, a transformative step in transformer digitalization. The ideal candidate for this role should thrive in a dynamic and fast-paced business environment. Flexibility to adapt to business needs, experience in collaborating with diverse groups, and exceptional multitasking abilities are essential. Strong communication skills are a must-have attribute for this position. As a Product Development Engineer, your responsibilities will include: - Conceptualizing new ideas for OIP and RIP bushings developments - Fabricating prototypes for OIP and RIP bushings testing - Sampling various materials, production processes, and design tolerances for bushing manufacturing - Providing technical support during outturn sample specification and qualification - Collaborating with suppliers, SCM, and procurement specialists - Conducting design and process FMEA during bushing design and manufacturing - Troubleshooting potential issues during type testing of bushings for product qualification - Offering technical support in statistical analysis and root cause analysis of bushings - Upholding Hitachi Energy's core values of safety and integrity by taking responsibility for actions and caring for colleagues and the business The qualifications and background required for this role are: - Bachelor's degree in electrical or mechanical engineering - 5+ years of experience in product engineering, quality, or testing - Knowledge of bushing manufacturing, production processes, and assembly instructions - Familiarity with bushing routine and type test requirements as per global standards - Proficiency in measurement tools, jigs and fixtures, quality controls, etc. - Proficiency in both spoken and written English language If you have a disability and require accommodation to access the Hitachi Energy career site or apply for a job, you can request reasonable accommodations through the website. Please provide specific details about your required accommodation to support you during the job application process for accessibility assistance. Join Hitachi Energy's team and be part of a transformative journey towards a sustainable energy future.,

You are required for the position of a female CRM executive in Kokapet, Hyderabad for a leading real estate developer. You should have a minimum of 1 year of experience in customer relationship management in the real estate industry. Additionally, you must possess proficiency in statistical analysis techniques to understand customer behavior and improve service delivery. Your primary roles and responsibilities will include developing and maintaining strong customer relationships to enhance satisfaction and retention. You will be expected to utilize data analysis and predictive modeling to identify customer needs and improve services. Collaboration with the marketing team is essential to tailor communication strategies that address customer preferences effectively. Managing customer inquiries and feedback efficiently to ensure a high level of service quality is a key aspect of the role. Furthermore, you will support business development initiatives by identifying potential opportunities through customer data analysis. Implementation of continuous improvement processes based on customer insights and feedback is crucial. You will work cross-functionally with engineering teams to align customer requirements with technical solutions. Conducting regular customer reviews to ensure alignment with service expectations and explore growth opportunities will also be part of your responsibilities.,

At Lilly, you are part of a global healthcare leader that is committed to uniting caring with discovery to enhance the lives of people worldwide. With our headquarters in Indianapolis, Indiana, our dedicated team of 39,000 employees collaborates to discover and deliver life-changing medicines, enhance disease understanding and management, and contribute to our communities through philanthropy and volunteerism. Our focus is on making a positive impact on people's lives around the world. As part of our ongoing efforts, we are in the process of developing and internalizing a cutting-edge recommendation engine platform. This platform aims to streamline sales and marketing operations by analyzing diverse data sources, implementing advanced personalization models, and seamlessly integrating with other Lilly operations platforms. The goal is to provide tailored recommendations to our sales and marketing teams at the individual doctor level, enabling informed decision-making and enhancing customer experience. Responsibilities: - Utilize deep learning models to optimize Omnichannel Promotional Sequences for sales teams - Analyze large datasets to identify trends and relevant information for modeling decisions - Translate business problems into statistical problem statements and propose solution approaches - Collaborate with stakeholders to effectively communicate analysis findings - Preference for familiarity with pharmaceutical datasets and industry - Experience in code refactoring, model training, deployment, testing, and monitoring for drift - Optimize model hyperparameters and adapt to new ML techniques for business problem-solving Qualifications: - Bachelor's degree in Computer Science, Statistics, or related field (preferred) - 2-6 years of hands-on experience with data analysis, coding, and result interpretation - Proficiency in coding languages like SQL or Python - Prior experience with ML techniques for recommendation engine models in healthcare sectors - Expertise in Feature Engineering, Selection, and Model Validation on Big Data - Familiarity with cloud technology, particularly AWS, and tools like Tableau and Power BI At Lilly, we are committed to promoting workplace diversity and providing equal opportunities for all individuals, including those with disabilities. If you require accommodation during the application process, please complete the accommodation request form on our website. Join us at Lilly and be part of a team dedicated to making a difference in the lives of people worldwide.,

We are seeking a competitive Insurance Agent to drive new business growth by engaging with potential clients. Your primary responsibilities will include selling, soliciting, differentiating, and negotiating insurance plans tailored to the specific needs of your assigned or potential customer base. Your main objective will be to cultivate strong, positive relationships to facilitate business expansion, achieve growth targets, and enhance our company's reputation. Your duties will involve developing marketing strategies, recommending new insurance contracts or modifications to existing policies, and establishing a network of prospective clients through various channels such as networking, cold calling, and referrals. Your expertise will be crucial in assessing clients" requirements and financial positions to propose suitable protection plans and deliver tailored risk management solutions. You will be expected to provide regular updates on the progress of monthly and quarterly initiatives to stakeholders, manage bookkeeping systems and records, oversee insurance claims, and meet customer acquisition and revenue growth goals. Continuous learning about new products and services, updating job knowledge, and ensuring policy compliance will also be part of your responsibilities. The ideal candidate should have prior experience as an Insurance Agent or in a related field, possess knowledge of various insurance plans including automobile, fire, life, property, and medical coverage, demonstrate basic computer skills and statistical analysis proficiency, and exhibit a track record of goal-oriented work. Strong communication, presentation, influencing, and selling skills are essential, along with a proven ability to deliver client-centric solutions, forge lasting relationships, and hold a graduate degree. This is a full-time position that requires candidates to have at least 1 year of experience as an Insurance Agent, familiarity with a variety of insurance plans, basic computer knowledge, and proficiency in statistical analysis. Additionally, having 4 years of experience in the wealth channel and 1 year of experience in ULIP sales would be advantageous. Note: We are specifically looking for candidates from Bajaj Allianz LI (BALIC). Applicants are requested to provide their PAN number and specify their desired work location.,