523 Predictive Analytics Jobs

As a Senior Data Scientist I at Dotdash Meredith, you will collaborate with the business team to understand problems, objectives, and desired outcomes. Your primary responsibility will be to work with cross-functional teams to assess data science use cases & solutions, lead and execute end-to-end data science projects, and collaborate with stakeholders to ensure alignment of data solutions with business goals. You will be expected to build custom data models with an initial focus on content classification, utilize advanced machine learning techniques to improve model accuracy and performance, and build necessary visualizations to interpret data models by business teams. Additionally, you will work closely with the engineering team to integrate models into production systems, monitor model performance in production, and make improvements as necessary. To excel in this role, you must possess a Masters degree (or equivalent experience) in Data Science, Mathematics, Statistics, or a related field with 3+ years of experience in ML/Data Science/Predictive-Analytics. Strong programming skills in Python and experience with standard data science tools and libraries are essential. Experience or understanding of deploying machine learning models in production on at least one cloud platform is required, and hands-on experience with LLMs API and the ability to craft effective prompts are preferred. It would be beneficial to have experience in the Media domain, familiarity with vector databases like Milvus, and E-commerce or taxonomy classification experience. In this role, you will have the opportunity to learn about building ML models using industry-standard frameworks, solving Data Science problems for the media industry, and the use of Gen AI in Media. This position is based in Eco World, Bengaluru, with shift timings from 1 p.m. to 10 p.m. IST. If you are a bright, engaged, creative, and fun individual with a passion for data science, we invite you to join our inspiring team at Dotdash Meredith India Services Pvt. Ltd.,

As a member of our team at NTT DATA, you will have the opportunity to continue making a significant impact with a company that is dedicated to pushing the boundaries of what is possible. We are recognized for our technical excellence, leading innovations, and commitment to making a difference for our clients and society. Our workplace is built on a foundation of diversity and inclusion, providing a space where you can grow, belong, and thrive. Your career journey with us is centered around believing in yourself and embracing new opportunities and challenges. It's about enhancing your skills and expertise in your current role while preparing yourself for future advancements. We actively encourage you to seize every opportunity to advance your career within our dynamic global team. In this role, your key responsibilities will include: - Strategic Analytics Leadership: - Defining and executing the global analytics roadmap for Talent Supply Chain in collaboration with the Global Talent Data and Analytics lead. - Translating business requirements into data strategies that drive measurable outcomes. - Partnering with regional Talent Acquisition hubs to align on metrics, reporting standards, and insights. - Serving as a central point of coordination for global Talent Acquisition analytics initiatives. - Advanced Reporting & Insights: - Developing and maintaining executive dashboards and predictive models using tools such as Power BI, Tableau, and advanced Excel. - Providing actionable insights on sourcing effectiveness, time-to-fill, diversity hiring, on-time hire, cost per hire (CPH), and candidate experience. - Ensuring data integrity across various systems such as Workday, SuccessFactors, and CRM platforms. - Establishing and enforcing data governance standards and best practices. - Innovation & Automation: - Leading the automation of reporting processes and exploring AI/ML applications in recruitment analytics. - Keeping abreast of industry trends and introducing innovative analytics solutions. To be successful in this role, you should possess: - A minimum of 10 years of experience in business analytics, with at least 5 years in Talent Acquisition or HR analytics. - Demonstrated experience working in a global, matrixed organization with cross-regional collaboration. - Proficiency in data visualization tools like Power BI, Tableau, SQL, and Excel. - Strong understanding of Applicant Tracking Systems (ATS) and Human Resource Information Systems (HRIS) platforms such as Workday and SuccessFactors. - Excellent communication and stakeholder management skills. - A Bachelor's degree in Data Science, Engineering, Business Analytics, HR, or a related field. Preferred Attributes: - Experience with predictive analytics and machine learning in HR. - Familiarity with global compliance and data privacy regulations (e.g., GDPR). - Ability to influence senior leadership through data storytelling. This position offers a Hybrid Working environment and we are proud to be an Equal Opportunity Employer.,

GlobalLogic is looking for a proactive and analytical Business Intelligence Analyst to join their team. As a Business Intelligence Analyst, you will be responsible for independently building, maintaining, and enhancing real-time data visualizations that meet the evolving business needs. Your role will involve empowering teams with data-driven insights through the creation of dashboards and reports using tools such as Tableau, Power BI, and Looker Studio. Key responsibilities of this role include analyzing large datasets from various business systems to extract actionable insights, designing and developing dynamic dashboards and visualizations, conducting ad-hoc analyses to support strategic business initiatives, collaborating with data engineers to integrate data from different systems, ensuring data quality and security, and presenting findings to stakeholders, including senior leadership, to drive performance improvements. Additionally, the ideal candidate should have at least 3 years of experience with Python, R, or other scripting languages for data analysis, as well as experience with Power BI or Tableau. Exposure to machine learning or predictive analytics is a bonus, along with familiarity with Agile project management methodologies. The candidate must have a graduation degree and be willing to work from the office in APAC shift timings. GlobalLogic offers a culture of caring, learning, and development, interesting and meaningful work, balance, flexibility, and is known for being a high-trust organization that values integrity. As part of the team, you will have the opportunity to work on impactful projects, grow personally and professionally, and collaborate with clients around the world. Join GlobalLogic, a Hitachi Group Company, and be part of a trusted digital engineering partner that is at the forefront of the digital revolution, creating innovative digital products and experiences. Transform businesses, redefine industries, and work on cutting-edge solutions that shape the world today.,

This is a key position that will play a pivotal role in creating data-driven technology solutions to establish our client as a leader in healthcare, financial, and clinical administration. As the Lead Data Scientist, you will be instrumental in building and implementing machine learning models and predictive analytics solutions that will spearhead the new era of AI-driven innovation in the healthcare industry. Your responsibilities will involve developing and implementing a variety of ML/AI products, from conceptualization to production, to help the organization gain a competitive edge in the market. Working closely with the Director of Data Science, you will operate at the crossroads of healthcare, finance, and cutting-edge data science to tackle some of the most intricate challenges faced by the industry. This role presents a unique opportunity within VHT's Product Transformation division to create pioneering machine learning capabilities from scratch. You will have the chance to shape the future of VHT's data science & analytics foundation, utilizing state-of-the-art tools and methodologies within a collaborative and innovation-focused environment. Key Responsibilities: - Lead the development of predictive machine learning models for Revenue Cycle Management analytics, focusing on areas such as: - Claim Denials Prediction: identifying high-risk claims before submission - Cash Flow Forecasting: predicting revenue timing and patterns - Patient-Related Models: enhancing patient financial experience and outcomes - Claim Processing Time Prediction: optimizing workflow and resource allocation - Explore emerging areas and integration opportunities, e.g., denial prediction + appeal success probability or prior authorization prediction + approval likelihood models. VHT Technical Environment: - Cloud Platform: AWS (SageMaker, S3, Redshift, EC2) - Development Tools: Jupyter Notebooks, Git, Docker - Programming: Python, SQL, R (optional) - ML/AI Stack: Scikit-learn, TensorFlow/PyTorch, MLflow, Airflow - Data Processing: Spark, Pandas, NumPy - Visualization: Matplotlib, Seaborn, Plotly, Tableau Required Qualifications: - Advanced degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field - 5+ years of hands-on data science experience with a proven track record of deploying ML models to production - Expert-level proficiency in SQL and Python, with extensive experience using standard Python machine learning libraries (scikit-learn, pandas, numpy, matplotlib, seaborn, etc.) - Cloud platform experience, preferably AWS, with hands-on knowledge of SageMaker, S3, Redshift, and Jupyter Notebook workbenches (other cloud environments acceptable) - Strong statistical modeling and machine learning expertise across supervised and unsupervised learning techniques - Experience with model deployment, monitoring, and MLOps practices - Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders Preferred Qualifications: - US Healthcare industry experience, particularly in Health Insurance and/or Medical Revenue Cycle Management - Experience with healthcare data standards (HL7, FHIR, X12 EDI) - Knowledge of healthcare regulations (HIPAA, compliance requirements) - Experience with deep learning frameworks (TensorFlow, PyTorch) - Familiarity with real-time streaming data processing - Previous leadership or mentoring experience,

You should have at least 6 years of experience in designing and developing enterprise and/or consumer-facing applications using technologies like JavaScript, Node.js, ReactJS, Angular, SCSS, CSS, and React Native. Additionally, you should have 3+ years of experience in leading teams and taking responsibilities to ensure timely delivery. It is essential to have hands-on experience with both SQL and NoSQL databases, as well as working in a Linux OS environment. Strong debugging and problem-solving skills are crucial for this role. Moreover, you should be proficient in developing responsive web applications and possess excellent communication skills to interact effectively with customers. An eagerness to learn alternative technologies as required is highly valued. Familiarity with the product development lifecycle, including prototyping, hardening, and testing, is also necessary. In terms of additional skills/experience, working knowledge of Python and NoSQL databases like MongoDB and Cassandra is advantageous. Participation in product functional and user experience designs, as well as experience in AI, ML, NLP, and Predictive Analytics domains, is a plus. Familiarity with i18n, the latest UI/UX design trends, and experience with CI/CD, Jenkins, and Nginx would be beneficial for this role.,

As an HR Analyst (Data Analysis and Data Visualization) at Omnicom Global Solutions, you will be responsible for collecting and consolidating data from multiple platforms. Your role will involve creating visually appealing and informative dashboards, reports, and presentations to effectively communicate key findings to stakeholders. Omnicom Global Solutions is a crucial part of Omnicom Group, a global marketing and corporate communications company with networks and specialty firms providing services to clients in over 70 countries. In India, we offer stellar products and solutions in various areas including Creative Services, Technology, Marketing Science, Advanced Analytics, Market Research, and more. In this role, you will collect and consolidate data from platforms like Culture Amp, One Learning, Open Door, and Greenhouse to analyze trends related to employee engagement and satisfaction. You will use statistical methods and data analysis tools to derive insights, perform predictive analytics, and create visually appealing reports using tools like Tableau and Power BI. To excel in this role, you should have at least 3 years of experience in data analysis, preferably within HR or Employee Experience. Join us in our journey of growth and innovation as we work together to enhance employee engagement and experience.,

As a Delivery Manager at LogicLadder, you will have a significant impact on driving the technical vision and innovation behind our sustainability software solutions. Reporting directly to the Head of Engineering, your primary responsibility will be to lead a team of skilled software engineers, guiding them through the design, development, and deployment phases of advanced systems that empower our clients in achieving their net-zero objectives. Your key responsibilities will include mentoring and leading the software engineering team to foster a culture of continuous improvement and technical excellence. You will be instrumental in defining the architecture and design of intricate, scalable systems that form the backbone of LogicLadder's sustainability software offerings. Collaborating closely with cross-functional teams, you will help shape technical roadmaps that align with the organization's strategic goals. In addition to your leadership role, you will actively engage in coding, debugging, and troubleshooting to maintain a profound understanding of the software development lifecycle. Conducting regular code reviews to ensure adherence to best practices and high-quality standards will be part of your routine. Furthermore, you will proactively identify opportunities for process enhancements, automation, and optimization, contributing to the company's overall thought leadership by participating in technical blogs, conferences, and community engagement. To be successful in this role, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, along with at least 6 years of experience as a software engineer, including 5 years in a leadership capacity. Having a proven track record of delivering complex software projects from inception to production, familiarity with sustainability software, energy management, or environmental monitoring solutions, and exposure to data engineering and data visualization technologies will be advantageous. Additionally, proficiency in multiple programming languages, particularly functional programming like Scala, Haskell, or Clojure, extensive experience in designing and developing scalable, distributed systems, and a deep understanding of software architecture patterns and design principles are essential requirements. Knowledge of cloud computing platforms such as AWS, GCP, or Azure, familiarity with agile software development methodologies, and strong problem-solving and analytical skills are also key qualifications for this role. While not mandatory, experience with real-time data processing and streaming technologies, knowledge of machine learning and predictive analytics techniques, familiarity with IoT and sensor integration, involvement in open-source projects, or contributions to the developer community will be considered advantageous. At LogicLadder, we offer a competitive benefits package that includes Medical Insurance covering employees and their families, personal accidental insurance, a great company culture, exposure to a rapidly growing domain, and gratuity benefits.,

As a Senior Data Analyst on the Patient Experience Platform team at Commure, you will play a crucial role in transforming data into actionable insights that will shape the future of patient engagement. Your primary responsibility will be to analyze both structured and unstructured data to identify trends in patient behavior, satisfaction, and engagement across the platform. By working closely with product, clinical, and engineering teams, you will drive data-informed decisions that aim to enhance the overall healthcare journey for patients. Key Responsibilities: - Analyze data to uncover trends in patient behavior, satisfaction, and engagement on the platform. - Define, track, and report on key performance indicators (KPIs) related to patient experience, platform adoption, Net Promoter Score (NPS), Customer Satisfaction (CSAT), and clinical outcomes. - Collaborate with stakeholders to support experimentation, feature evaluation, and user behavior analysis through A/B testing. - Design and maintain dashboards and self-service analytics tools to effectively communicate insights to business and clinical teams. - Ensure accurate and consistent data capture across the platform, working closely with product managers and engineers. - Support efforts to improve data quality, integrity, and accessibility from various sources such as Electronic Health Records (EHRs), surveys, and engagement tools. - Translate complex data into compelling stories that inform decision-making and help prioritize product enhancements. - Maintain compliance with HIPAA and other healthcare data privacy and security standards. - Mentor junior analysts and promote a data-driven culture within the organization. - Drive initiatives to enhance data governance practices, ensuring data accuracy and consistency. - Lead the analysis of A/B test results to guide product and User Experience (UX) optimizations. - Contribute to creating reports and presentations for senior leadership summarizing insights and recommending actions. Requirements: - Bachelors or Masters degree in Data Science, Statistics, Public Health, Computer Science, or a related field. - 3+ years of experience in data analysis, preferably within healthcare or digital health technology. - Proficiency in SQL and at least one analytical programming language (Python or R). - Experience with Business Intelligence (BI) tools such as Looker, Tableau, Power BI, or similar. - Strong understanding of behavioral and product analytics including funnel analysis, cohort analysis, retention, and segmentation. - Familiarity with healthcare data formats such as HL7, FHIR, EMR/EHR data, HCAHPS, and CAHPS. - Experience working with cloud data warehouses like BigQuery, Snowflake, Redshift, or Clickhouse. - Knowledge of A/B testing methodologies and statistical significance. - Excellent data storytelling, communication, and collaboration skills. - Passion for improving healthcare experiences through data and technology. - Experience with predictive analytics or machine learning models is a plus. - Familiarity with data visualization best practices to present complex findings in an easily digestible format. - Knowledge of data privacy regulations including GDPR, in addition to HIPAA. - Ability to work with large-scale datasets and experience in data wrangling.,

The role focuses on implementing tools and strategies to analyze large volumes of data, identifying trends, and transforming information into valuable business insights. You will be responsible for setting up information formats and customized views for stakeholders in leadership, marketing, and sales roles throughout the organization. As a data-product owner, you will lead the translation of business requirements into data projects and vice versa, ensuring that data solutions address specific business challenges effectively. Collaborating with internal stakeholders from various departments like SFE, CRM, Marketing, Ethical & Trade Sales, MI, and Finance, you will identify opportunities to implement data-driven solutions. Your responsibilities will include actively contributing to the business intelligence plan, BI environment, and tools, as well as developing a strategic roadmap for Data & Analytics, incorporating Data Science into ANI India's overall Customer/Channel/Sales Force engagement strategy. Moreover, you will create reports and models for forecasting, trending, and predictive analytics, managing ad-hoc reporting, dashboarding, and analytics requirements. By driving data mining efforts and presenting key strategic solutions to business stakeholders for real-time decision-making, you will leverage both traditional (e.g., data lake) and advanced technologies like data science and AI. Furthermore, you will enhance data-based storytelling by summarizing analysis points and effectively visualizing them using BI delivery platforms. The ideal candidate should have over 6 years of experience and prior exposure in Pharma, FMCG, or FMHG sectors would be advantageous. Proficiency in tools such as SQL, SAS, Tableau, MS Excel, Power BI, Adobe Analytics, etc., is required for this role.,

The Deputy CIO will be a key leader in driving IT initiatives aligned with the business strategy of the Group company, encompassing various operations such as manufacturing, retail, e-commerce, and supply chain. Collaborating closely with the CIO, you will be responsible for spearheading digital transformation efforts, ensuring operational excellence in IT, enhancing customer experience through technology, and supporting the scalability of enterprise platforms like ERP, DMS, WMS, CRM, and Data Analytics. Your role will involve strategic IT leadership, including formulating and executing enterprise IT strategy, driving digital transformation globally, planning and executing IT initiatives in alignment with business goals, and collaborating with C-suite leadership on technology investments and innovation. You will oversee IT operations and governance by managing IT infrastructure, application, cybersecurity, and compliance in coordination with Group IT. Establishing IT service delivery frameworks, ensuring adherence to SLAs, business continuity planning, disaster recovery mechanisms, leading IT audits, risk assessments, and enhancing cybersecurity posture will be crucial responsibilities. Driving digital transformation and innovation will involve implementing Industry 4.0/Smart Factory initiatives like IoT, AI, and predictive analytics, enabling omnichannel retail, and enhancing customer experience through digital tools such as POS, CRM, and loyalty platforms. Your role will also encompass overseeing enterprise platforms like SAP S/4HANA, Oracle, Microsoft Dynamics, ensuring seamless integration of manufacturing systems with ERP, championing data governance, and establishing enterprise data lakes and BI dashboards for decision support. Managing IT procurement lifecycle, IT asset lifecycle management, license compliance, leading a high-performing team of IT professionals, championing change management in digital programs, and ensuring user adoption and stakeholder alignment will also be key aspects of your role. Key competencies required include a strong understanding of manufacturing, logistics, and B2B/B2C retail models, excellent program management and leadership skills, deep expertise in ERP, IT infrastructure, and emerging technologies, ability to align IT strategy with business needs, effective communication skills, executive presence, and stakeholder management capability. Performance metrics for this role will be measured based on IT project delivery, uptime, cybersecurity compliance, business user satisfaction, and cost optimization, and ROI on tech investments. To qualify for this role, you should hold a Bachelor's or Master's degree in information technology, Computer Science, or Engineering, with an MBA being preferred. You should have 10-15 years of IT experience, including at least 5 years in leadership roles, prior experience in global manufacturing/retail/E-commerce is highly preferred. Desired certifications include PMP, Prince2, ITIL v4 Foundation, COBIT, SAP, and Microsoft ERP certifications.,

You will be joining LTIMindtree, a global technology consulting and digital solutions company that empowers enterprises to rethink business strategies, drive innovation, and achieve growth through digital technologies. With a team of over 86,000 professionals in more than 30 countries, LTIMindtree collaborates with 700+ clients to provide domain expertise and technological solutions for competitive advantage, enhanced customer experiences, and business success in today's fast-paced world. As a Data Scientist/Lead/Architect, your responsibilities will include developing AI and machine learning models using Microsoft Azure AI tools like Azure Machine Learning Cognitive Services and OpenAI integration. You will support data collection, cleaning, and preprocessing for structured, unstructured, and geospatial datasets, including data from Esri platforms. Collaborating with software engineers, data scientists, GIS analysts, and business stakeholders, you will integrate AI functionality into modern mobile and web applications. Additionally, you will build, deploy, and monitor AI solutions using Azure to ensure scalability and performance. Your role will also involve creating and maintaining technical documentation, participating in product planning and agile development meetings, and staying updated on the latest advancements in Microsoft AI, including Responsible AI practices and Azure OpenAI capabilities. You will champion the adoption of AI and GIS technologies within the organization through demos, technical workshops, and stakeholder presentations. To excel in this role, you should have proficiency in Python and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. Hands-on experience with Microsoft Azure tools for AIML model training, deployment, and monitoring is essential. Familiarity with Esri's ArcGIS platform, Python-based tools like ArcPy, and understanding of spatial data, GIS workflows, and data visualization using maps are required. Strong problem-solving skills, attention to detail, and clear communication abilities with both technical and non-technical audiences are key for success in this position. Preferred skills include experience with Azure Machine Learning Cognitive Services, Power Platform, Power BI, Power Automate, cloud-native architectures, DevOps practices, Esri products like ArcGIS Online, ArcGIS Pro, and ArcGIS Enterprise, as well as exposure to containerization, Docker, REST APIs, and deploying ML models into production environments. An interest in NLP, computer vision, or predictive analytics in a GIS context will be advantageous. For qualifications, a Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Geographic Information Systems, or related fields is required, while a Master's degree is a plus. Internship or project experience applying AIML techniques using Microsoft tools and cloud services is preferred. Motivation to stay current with evolving Azure AI and GIS technologies, excellent interpersonal, organizational, and written communication skills, and the ability to manage multiple priorities and deliver high-quality work in a fast-paced, agile development environment are essential qualities for this role. LTIMindtree is committed to being an equal opportunity employer and promotes diversity and inclusion initiatives to create a gender-sensitive and inclusive work environment. These initiatives focus on the development, engagement, growth, and retention of women in the workplace.,

The Digital FRA D&A role at Novartis involves driving the data and analytics strategy aligned with Technology Transformation to provide optimal solutions to Novartis Management. This enables efficient process and data mining, as well as analyses of business performance to support Novartis Group objectives of Innovation, Growth, and Productivity. The primary focus of the team is to offer insights on finance processes to enhance compliance, identify risks early, and improve operational efficiency. They are accountable for managing compliance/performance reporting tools, analytics, and anomaly detections. The ideal candidate for this role should possess a strong finance background and experience in Big Data analytics. Key responsibilities include managing stakeholder demands, translating business needs into actionable requirements, interacting with internal customers as a process/data mining expert, and developing compliance and controls monitoring reports. Furthermore, the role involves implementing process/data mining solutions, developing predictive analytics on Finance Big Data capabilities, leveraging cutting-edge technologies like AI, ensuring solution usability, and delivering process and mining services to internal stakeholders. Essential requirements for this position include relevant working experience, an MBA (Finance) or equivalent degree, familiarity with Process Mining Technology, experience in Big Data analytics, knowledge of accounting standards, strong analytical skills, and proficiency in tools such as SAP BW, SAP BPC, Qlik Sense, and advanced Excel. Novartis offers various benefits such as pension contribution matching, risk life insurance, holiday entitlement, sick leave, cafeteria benefits, meal vouchers, car allowance, MultiSport Card, and an Employee Share Purchase Plan. Novartis is committed to providing reasonable accommodations to individuals with medical conditions or disabilities throughout the recruitment process. For more information on Novartis Business Services and the company culture, visit https://www.novartis.cz/. Novartis values collaboration and innovation to create breakthroughs that positively impact patients" lives. If you are passionate about making a difference, consider joining the Novartis Network by signing up to the talent community for future career opportunities. For a detailed overview of the benefits and rewards offered by Novartis, refer to the handbook at https://www.novartis.com/careers/benefits-rewards.,

You should be an experienced Pega Decisioning and Pega Marketing expert with 8-13 years of overall experience, and 4-9 years of relevant experience. Your role will involve building and implementing model-driven, enterprise-level business solutions and applications. It is required to have at least 1+ years of working experience in Pega Decisioning and Pega Marketing, including making model changes. You should have a strong understanding of Pega methodologies and possess excellent object-oriented analysis and design skills, as well as system integration skills. Your responsibilities will include working on various rules and features such as Flows, Activities, User Interface, Flow Actions, Agents, SLA, Correspondence, Security, Reports, Listeners (File, MQ), Connectors, etc. Collaboration with business stakeholders, business analysts, data governance, analytics, and technical leads will be essential to ensure the right solutions are created for business needs. You should have an understanding of Predictive and Adaptive Analytics and the capabilities of Artificial Intelligence within Pega. Hands-on experience in implementing Pega integration services using REST, SOAP, etc. will be required. Knowledge of industry standard project delivery frameworks including Agile, Waterfall, and Scrum is also important. It would be beneficial to have certifications such as Pega Certified Decisioning Consultant (PCDC) and Pega Certified Marketing Consultant (PCMC). You should have a deep understanding of the PRPC Architecture and all PRPC design and implementation features. Additionally, you should be comfortable working in a Global offshore/onshore model.,

The Data Scientist position in Ahmedabad requires a minimum of 2+ years of experience. As a Data Scientist, you will be responsible for developing, deploying, and implementing solutions for artificial intelligence and machine learning problems and business needs. Your role will involve working with cross-functional teams to collect requirements, analyze data, and create/deploy machine learning models. It is essential to stay updated with the latest advancements in AI/ML research and technologies to drive continuous innovation. Your job will involve a combination of technical implementation and effective communication, collaboration, and documentation to ensure successful project outcomes and knowledge sharing within the team. You should have advanced knowledge of predictive analytics and time series analysis, utilize data-driven insights for decision-making, expertise in NLP techniques, experience in fine-tuning open-source LLMs, proficiency in SQL and Python for building and deploying machine learning models, writing clean and concise code, and adopting methods of version control, continuous integration, and deployment for reliable code management. Your responsibilities will include coordinating with QA engineers for proper testing procedures, implementing automated testing frameworks for expanded test coverage and efficiency, and maintaining comprehensive documentation for all developed solutions and systems. You will also need to document development processes and workflows for future reference. In addition, you are expected to foster a teamwork environment that encourages knowledge sharing, collaboration, and continuous learning. You will guide and support junior developers, provide necessary feedback to help them grow professionally, and foster innovation and creativity within the team to successfully implement practical solutions for technical issues. The company offers a handsome salary, certifications, flexible timings, a 5-day working week, loyalty bonus, excellent referral bonus, maternity leaves and benefits, recognition and awards, and monthly team activities to create a positive work environment.,

You are an experienced and motivated Data Science professional who will lead a team as an Assistant Vice President (AVP). Your responsibilities include managing and mentoring a team of data scientists, driving initiatives in predictive and descriptive analytics, and providing insights to solve key business challenges. The role demands strong leadership, technical expertise, and experience with large datasets and advanced AI solutions on cloud platforms like AWS/Azure. You will apply Predictive Analytics to model and forecast future business outcomes, utilize Descriptive Analytics to analyze past performance and identify trends, and employ Exploratory Data Analysis (EDA) techniques to understand complex datasets and identify patterns, trends, and insights. Your role involves developing and maintaining Tableau Dashboards to communicate key metrics and business insights to stakeholders at various levels, working on AWS or Azure platforms to solve AI-related use cases, and implementing robust and scalable solutions. As a leader, you will mentor a team of data scientists, provide guidance on projects and career development, coordinate team efforts to ensure effective delivery of analytics solutions, and collaborate with other departments to drive data-driven decision-making. You are expected to work with multiple business units to identify analytics use cases, develop data-driven strategies, and foster a collaborative and inclusive working environment as a team player. Qualifications include a Bachelor's or Master's degree in Computer Science, Statistics, or a related field. Technical skills required are hands-on experience with Python and SQL for data analysis and modeling, proven track record in developing Predictive Analytics models using Python, proficiency in Exploratory Data Analysis (EDA) techniques, familiarity with Tableau for dashboarding and data visualization, and experience with cloud platforms like AWS or Azure, especially in solving AI-related problems. Preferred skills include experience in the BFSI (Banking, Financial Services, and Insurance) domain. Key competencies for this role include strong leadership and team management skills, excellent problem-solving and analytical thinking, the ability to communicate technical concepts to non-technical stakeholders, and a collaborative mindset with excellent interpersonal skills.,

Genpact (NYSE: G) is a global professional services and solutions firm dedicated to shaping the future by delivering impactful outcomes. With a team of over 125,000 professionals spread across more than 30 countries, we are characterized by our inherent curiosity, entrepreneurial spirit, and commitment to creating enduring value for our clients. Fueled by our overarching purpose of continually striving towards a world that functions better for individuals, we partner with and enhance leading enterprises, including members of the prestigious Fortune Global 500. Our core competencies revolve around in-depth business and industry expertise, digital operational services, and proficiency in data, technology, and AI. We are currently seeking applications for the position of Business Analyst - Data Scientist to join our dynamic team. As a Business Analyst - Data Scientist at Genpact, you will play a pivotal role in the development and implementation of NLP (Natural Language Processing) models and algorithms, extracting actionable insights from textual data, and collaborating with cross-functional teams to deliver innovative AI solutions. **Responsibilities:** **Model Development:** - Proficiency in various statistical, machine learning, and ensemble algorithms. - Strong understanding of time series algorithms and forecasting use cases. - Ability to discern the strengths and weaknesses of different models and select appropriate ones for specific problems. - Proficiency in evaluating metrics and recommending suitable evaluation metrics for different problem types. **Data Analysis:** - Extracting meaningful insights from structured data. - Preprocessing data for machine learning/artificial intelligence applications. **Collaboration:** - Close collaboration with data scientists, engineers, and business stakeholders. - Providing technical guidance and mentorship to team members. **Integration and Deployment:** - Integrating machine learning models into production systems. - Implementing CI/CD pipelines for continuous integration and deployment. **Documentation and Training:** - Documenting processes, models, and results. - Providing training and support to stakeholders on NLP techniques and tools. **Qualifications we seek in you:** **Minimum Qualifications / Skills:** - Bachelor's degree in computer science, engineering, or a related field. - Proficient programming skills in Python and R. - Experience with data science frameworks such as SKLEARN and NUMPY. - Knowledge of machine learning concepts and frameworks like TensorFlow and PyTorch. - Strong problem-solving and analytical capabilities. - Excellent communication and collaboration skills. **Preferred Qualifications/Skills:** - Experience in predictive analytics and machine learning techniques. - Proficiency in Python/R or any other open-source programming language. - Building and implementing models, using algorithms, and running simulations with various tools. - Familiarity with visualization tools such as Tableau, Power BI, Qlikview, etc. - Proficiency in applied statistics skills, including distributions, statistical testing, regression, etc. - Knowledge and experience in various tools and techniques like forecasting, linear regression, logistic regression, machine learning algorithms (e.g., Random Forest, Gradient Boosting, SVM, XGBoost, Deep Learning), etc. - Experience with big data technologies (Hadoop, Spark). - Familiarity with cloud platforms like AWS, Azure, GCP. **Job Details:** **Title:** Business Analyst - Data Scientist **Primary Location:** India-Hyderabad **Education Level:** Bachelor's / Graduation / Equivalent **Job Posting:** Apr 1, 2025, 2:47:23 AM **Unposting Date:** May 1, 2025, 1:29:00 PM **Master Skills List:** Digital **Job Category:** Full Time,

Coupa makes companies operate smarter and grow faster. The leading AI-driven platform of Coupa connects and optimizes sourcing, purchasing, supply chains, and financial management. More than 3,000 global organizations large and small trust Coupa to transform operating margins, increase efficiencies and growth, optimize cash, and reduce risk. You will be responsible for ensuring the quality and reliability of data used in ML/AI and Generative AI products. This involves performing thorough Data Analysis, evaluating Data Quality, testing Machine Learning Models & Visualizations, outlier detection, and using statistical methods to define and monitor valid data ranges. Additionally, you will collaborate with data scientists, engineers, and product managers to understand the data needs and requirements of different AI applications. Your role will also involve developing an automation strategy to create automated tests that validate large data sets across products in Coupa. You will design, implement, and maintain data validation frameworks and data quality monitoring systems. Working closely with Scrum team members, you will clarify requirements, ensure testability and automatability, and provide feedback on design in both functional and technical aspects. To succeed in this role, you should bring experience in writing complex queries on large customer data sets, familiarity with ML/AI and Generative AI techniques, frameworks, and associated toolchains, understanding of statistical analysis, and proficiency in working with APIs & API automation. Strong communication skills and the ability to drive collaboration across teams are essential, along with experience in Agile development processes and working with offshore teams. It would be beneficial if you also possess a Bachelor's degree in CS, Economics, Statistics, or Mathematics with 3-5 years of experience in Data Testing. Knowledge in Predictive Analytics, machine learning trade-offs, and model evaluation is desirable. Strong scripting experience with Python, SQL, and tools for data analysis and manipulation would be an added advantage. At Coupa, the core values focus on ensuring customer success, delivering results through innovation, and striving for excellence in a collaborative environment. The company emphasizes professionalism, integrity, passion, and accountability in all endeavors. Please note that inquiries or resumes from recruiters will not be accepted. By submitting your application, you acknowledge that Coupa receives and collects your application, including personal data, for managing ongoing recruitment and placement activities, including employment purposes. More details about the processing of your application and retention policies can be found in Coupa's Privacy Policy.,

As a valued member of SitusAMC, you will be part of a team dedicated to transforming our clients" businesses and fostering personal career development. Whether you are an experienced real estate professional, a technology enthusiast, or just starting your career journey, we invite you to join us in unlocking opportunities for all those we serve. We are committed to matching your unique skills and experiences with our exciting career opportunities, enabling you to achieve your full potential within the Real Estate Industry. If you are someone who values authenticity, advocates for others, embraces agility, dares to dream big, takes ownership of outcomes, and balances global vision with local impact, then we welcome you to be a part of our team! Your responsibilities will include: - Developing and implementing an organizational data strategy aligned with business processes, encompassing data model designs, database development standards, cloud/data warehouse management, and data analytics platforms. - Identifying internal and external data sources and devising a data management plan in line with the organizational data strategy. - Collaborating with cross-functional teams, stakeholders, and vendors to ensure the smooth operation of the Analytics data platform. - Managing the end-to-end data architecture, from platform selection to application development, testing, and implementation. - Planning and executing big data solutions utilizing cloud/on-premise technologies. - Defining data flow and information dissemination within the organization, ensuring data accessibility, accuracy, and security. - Overseeing Data governance and integrating technical functionality to maintain system performance and report any issues promptly. - Performing continuous audits of the data management system's performance and refining processes as needed. Qualifications/ Requirements: - Bachelor's degree or equivalent combination of education and experience. - Minimum of 8+ years of industry experience, with at least 2+ years in an AVP level role or equivalent. - Proficiency in systems development life cycle, project management, data modeling, data engineering, and database administration. - Familiarity with Analytics platform production, BI dashboards, ML algorithms, APIs, and data management/reporting technologies. - Ability to work with columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics. The annual full-time base salary range for this role will be determined based on interviews, education, experience, skills, geographic location, and market data. Certain positions may also be eligible for discretionary bonuses based on program guidelines and senior management approval. SitusAMC provides a comprehensive and competitive benefits plan to support the well-being of our employees.,

As an Artificial Intelligence Engineer at CircoLife, you will play a crucial role in designing and implementing AI-driven solutions to elevate the performance, efficiency, and user experience of our IoT-enabled smart air conditioners. Your primary responsibility will be to collaborate with cross-functional teams, including hardware engineers, IoT developers, and data scientists, to develop predictive models, optimize sensor data processing, and create intelligent control algorithms that ensure smart climate management for our users. Your key responsibilities will include developing AI models that predict system failures, optimize energy consumption, and adapt to user behavior. You will analyze real-time and historical sensor data to derive valuable insights, enhance the efficiency of air conditioning systems, and design predictive maintenance models for forecasting maintenance needs. Collaborating closely with the IoT team, you will process sensor data in real-time and develop smart control algorithms that adjust the AC's operation based on environmental factors, user preferences, and energy-saving requirements. Moreover, you will work hand in hand with hardware, software, and firmware engineers to seamlessly integrate AI models with the product's IoT infrastructure. It will also be your responsibility to research new AI technologies continuously, enhance the smart AC systems, and improve overall efficiency and user satisfaction. Customizing AI solutions based on customer feedback and usage patterns to deliver personalized experiences will also be a crucial aspect of your role. To qualify for this position, you should hold a Bachelors or Masters degree in Computer Science, AI, Machine Learning, Data Science, or a related field. Proven experience in developing AI and machine learning solutions, particularly for IoT or sensor-based systems, is essential. Proficiency in Python, TensorFlow, PyTorch, or other AI/ML frameworks, along with experience in working with large datasets, including time-series and sensor data, is required. A strong understanding of IoT devices, embedded systems, and edge computing, as well as familiarity with cloud platforms like AWS, Google Cloud, or Azure for AI/ML deployment, is also necessary. Experience in predictive analytics and model optimization for real-time systems, excellent problem-solving skills, and the ability to thrive in a collaborative, fast-paced environment are key attributes we are looking for in potential candidates. Additionally, a solid understanding of AI in embedded systems and resource-constrained environments is highly desirable.,

Do you want to shape the future of fintech and healthtech Energized by challenges and inspired by bold goalsReady to elevate your career alongside driven and talented colleaguesIf that sounds like you, explore a career at Alegeus today. Opportunity Happens Here . Director, Data Science Join our team at Alegeus, where you ll experience unmatched opportunity and a culture that cares deeply about succeeding together. As a Director, Data Science, you ll drive our technology vision forward and push the boundaries of innovation with cutting-edge solutions. This is your opportunity to work with groundbreaking technology and tackle complex challenges, shaping of future of our tech landscape. If you are passionate about innovation and eager to make a difference, we would love to have you as a part of our dynamic and forward-thinking team. OPPORTUNITY HAPPENS HERE REALIZE YOURS Alongside the best and the brightest, you will regularly: Define and drive AI strategy in collaboration with cross-functional leaders, aligning AI and data science initiatives with business objectives and healthcare regulatory standards (HIPAA, GDPR, etc.). Build and lead high-performing AI and data teams across geographies (US and Bangalore), scaling from the ground up and managing organizations of 10 100+ people including Data Scientists, ML Engineers, and AI Engineers. Develop and deploy AI-powered products such as agentic AI systems, conversational agents, and decision-support tools that enhance personalization, automation, and business efficiency in healthcare payments. Identify and deliver high-impact AI use cases including predictive analytics, fraud detection, intelligent financial tools, and automated customer service capabilities. Establish an AI-ready enterprise data platform, overseeing Data Engineering functions to ensure high-quality data integration, transformation, and optimization in support of AI innovation. Promote AI literacy and a culture of innovation, enabling cross-functional teams to effectively integrate AI into core offerings and championing an AI-first mindset throughout the organization. Implement MLOps and governance best practices to ensure secure, scalable, and continuously improving AI systems, while maintaining responsible AI principles and compliance. Drive thought leadership and innovation, representing Alegeus in industry forums, fostering external partnerships, and staying ahead of emerging AI trends in healthcare and fintech. ESSENTIAL SKILLS FOR CREATING A LASTING IMPACT Alegeus colleagues are known as problem-solvers, risk-takers, and innovative thinkers. As a Director, Data Science, these skills are essential for success: Abilities: Expertise in AI strategy, MLOps, and responsible AI governance, with a strong ability to design and deploy agentic AI systems, conversational agents, and decision-support tools. Skilled at identifying high-impact use cases such as fraud detection, predictive analytics, and intelligent financial automation. Adept at fostering AI literacy, promoting innovation, and aligning solutions with healthcare compliance standards (HIPAA, GDPR). Experience: Proven track record of building and scaling high-performing AI and data science teams (10 100+ members) across geographies, including the US and Bangalore. Extensive leadership experience in cross-functional collaboration, AI product development, enterprise data platform management, and deploying scalable AI solutions in regulated environments. Education: Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related technical field. Location : Bangalore. BECAUSE WE CARE, WE OFFER: A flexible work environment Competitive salaries, paid vacation, and holidays Robust professional development programs Comprehensive health, wellness, and financial packages SHARED AMBITION. INSPIRED FUTURE. At Alegeus, our success is guided by our aligned vision and values it is how we work together and collaborate to achieve our goals. People First . We pride ourselves in bringing talented people together and treating one another with care. Partner Powered . We are committed to empowering our partners, knowing our success is shared and we win as one. Always Advancing . We are driven by potential and relentlessly determined to achieve our goals.

YoCreativ is looking for Data Analyst to join our dynamic team and embark on a rewarding career journey Collecting and analyzing large data sets using statistical and data visualization tools Identifying patterns, trends, and correlations in data to inform business decisions Developing and maintaining databases, data systems, and data analytics tools Developing and implementing data analysis processes and methodologies Creating and delivering reports and presentations that clearly communicate data insights to management and other stakeholders Collaborating with other departments, such as marketing and operations, to develop data-driven solutions to business problems Ensuring data accuracy, completeness, and integrity Designing and conducting experiments to test hypotheses and validate assumptions Developing and maintaining predictive models to forecast business outcomes

ZS Advanced Data Science - Associate ZS is a place where passion changes lives. As a management consulting and technology firm focused on transforming global healthcare and beyond, our most valuable asset is our people. Here youll work side-by-side with a powerful collective of thinkers and experts shaping solutions from start to finish. At ZS, we believe that making an impact demands a different approach; and thats why here your ideas elevate actions, and here youll have the freedom to define your own path and pursue cutting-edge work. We partner collaboratively with our clients to develop products that create value and deliver company results across critical areas of their business including portfolio strategy, customer insights, research and development, operational and technology transformation, marketing strategy and many more. If you dare to think differently, join us, and find a path where your passion can change lives. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. About Advanced Data Science (ADS): ZS Advanced Data Science group is focused on creating practical impact for clients across various industries such as Healthcare and Bio-Tech, Hi-Tech & Telecommunication, Financial Services and Travel through advanced analytics and emerging data sources. Emerging datasets include both unstructured datasets (for example, text, voice, image, etc.) and semi-structured datasets (for example, patient-level records). Advanced analytical techniques span a range of innovative machine learning, artificial intelligence, advanced statistics and optimization approaches. Being part of the ADS group at ZS will be an opportunity for you to work on cutting-edge solutions, utilizing new age data sources to shape innovations across multiple areas, for our clients and the broader ZS community. A key enabler of our services is leveraging data in delivering client solutions. The data available about customers is getting richer and the problems that our customers are trying to answer continue to evolve. In our endeavor to stay ahead in providing solutions to these evolving complex problems, ZS has set up an Advanced Data Science which has three major focus areas: • Research the evolving datasets and advanced analytical techniques to develop new offerings/solutions • Deliver client impact by collaboratively implementing these solutions • Provide thought leadership by developing the ZS Point of View in this space Data Science Associate Data Science Associate (DSA) design, develop and execute high-impact analytics solutions for large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. Responsibilities: Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner • Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevant information • Collaborate with clients and other ZS stakeholders to effectively integrate and communicate analysis findings • Contribute to the evaluation of emerging datasets and technologies that may contribute to our analytical platform • Evaluating emerging datasets and technologies that may contribute to our analytical platform • Owning the development of select assets/accelerators for efficient scaling of capability, with a focus on leveraging generative AI and deep learning methodologies. • Integrate engineering principles into data science workflows, optimizing algorithms for performance, scalability, and maintainability. • Collaborate with the engineering team to implement and deploy data science solutions into production, ensuring seamless integration with existing systems. • Utilize software engineering best practices for version control, code review, testing, and documentation to maintain high-quality, reliable, and reproducible data science workflows. Qualifications: Bachelor's or master's degree or PhD in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytic and quantitative coursework is required. • 1-3 years of Data Science experience, including proficiency in generative AI, deep learning, statistical techniques, and engineering integration for scalable solutions. • Knowledge of programming (e.g. Java/Python/R); • Knowledge of big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.); • Excellent oral and written communication skills. • Strong attention to detail, with a research-focused mindset; • Excellent critical thinking and problem-solving skills; • High motivation, good work ethic and maturity. • Exposure to Generative AI and its usage to solve problems is a plus. Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact in global healthcare and beyond. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com

Primary Responsibilities: Design and execute real-world evidence studies using diverse data sources such as claims, EHR, and patient surveys to evaluate the value of medical interventions Conduct advanced statistical and econometric analyses to support health outcomes research and inform healthcare decision-making Collaborate with cross-functional teams and clients to develop research protocols, manage project timelines, and ensure high-quality deliverables Contribute to scientific dissemination through manuscripts, abstracts, and conference presentations, supporting the generation of peer-reviewed publications Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Undergraduate degree or equivalent experience Technical Skills: Proficiency in statistical software such as SAS, R, STATA, or SQL; experience with real-world data sources like claims, EHR, and registries Research ExpertiseDemonstrated solid foundation in study design, econometric modeling, and outcomes research methodologies CommunicationDemonstrated excellent written and verbal communication skills, with experience in medical writing, including manuscripts, abstracts, and posters CollaborationDemonstrated ability to work in cross-functional teams and manage multiple projects in a client-facing environment At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyoneof every race, gender, sexuality, age, location and incomedeserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes an enterprise priority reflected in our mission. #Nic #NJP

We are seeking a Business Analyst specialized in Revenue Cycle Management (RCM) analytics, data quality, and business decision support. This role is critical in transforming raw healthcare financial data into clean, consistent, and decision-driving analytics . Key Responsibilities: Data Quality & Dashboard Accuracy Own the accuracy and consistency of operational and financial dashboards (Power BI / Tableau / Excel). Perform root cause analysis of data mismatches, anomalies, and KPI discrepancies . Define, document, and enforce KPI calculation standards across departments and systems. Work closely with technical teams to manage ETL pipelines and data transformations for RCM reporting. Develop and execute data validation checks, reconciliations, and quality assurance scripts (SQL / Python preferred). Collaborate with internal stakeholders to ensure source-to-dashboard data alignment and integrity . Business Analysis & Decision Support Analyze claims, payments, denials, AR, collections, and cash flow data to identify trends and improvement areas. Provide executive-level insights to support decisions on staffing, process changes, financial forecasting, and revenue growth. Work with leadership to track KPIs, monitor RCM health, and proactively recommend corrective actions . Develop predictive models and forecasting tools for revenue cycle performance (optional, preferred skill). Identify manual process bottlenecks and recommend automation opportunities (RPA, workflow redesign). Partner with clinical and billing teams to translate operational needs into meaningful data reports . Monitor payer behavior , denials, underpayments, and write-offs to support strategy adjustments. Primarily US hours support (Late Shift / Hybrid Shift as needed) Ms. Farjana Shajahan - farjanas@billedright.com- 8148794767 If you are interested in the job, kindly send your resume to the above-mentioned email. Billed Right does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity, or any other reason prohibited by law in the provision of employment opportunities and benefits. You can apply for other job opportunities at the below link https://billedright.zohorecruit.in/jobs/Careers

The Data Scientist organization within the Data and Analytics division is responsible for designing and implementing a unified data strategy that enables the efficient, secure, and governed use of data across the organization. We aim to create a trusted and customer-centric data ecosystem, built on a foundation of data quality, security, and openness, and guided by the Thomson Reuters Trust Principles. Our team is dedicated to developing innovative data solutions that drive business value while upholding the highest standards of data management and ethics. About the role: Work with low to minimum supervision to solve business problems using data and analytics. Work in multiple business domain areas including Customer Experience and Service, Operations, Finance, Sales and Marketing. Work with various business stakeholders, to understand and document requirements. Design an analytical framework to provide insights into a business problem. Explore and visualize multiple data sets to understand data available for problem solving. Build end to end data pipelines to handle and process data at scale. Build machine learning models and/or statistical solutions. Build predictive models. Use Natural Language Processing to extract insight from text. Design database models (if a data mart or operational data store is required to aggregate data for modeling). Design visualizations and build dashboards in Tableau and/or PowerBI Extract business insights from the data and models. Present results to stakeholders (and tell stories using data) using power point and/or dashboards. Work collaboratively with other team members. About you: Overall 6+ years' experience in technology roles. Must have a minimum of 2 years of experience working in the data science domain. Has used frameworks/libraries such as Scikit-learn, PyTorch, Keras, NLTK. Highly proficient in Python. Highly proficient in SQL. Experience with Tableau and/or PowerBI. Has worked with Amazon Web Services and Sagemaker. Ability to build data pipelines for data movement using tools such as Alteryx, GLUE, Informatica. Proficient in machine learning, statistical modelling, and data science techniques. Experience with one or more of the following types of business analytics applications: Predictive analytics for customer retention, cross sales and new customer acquisition. Pricing optimization models. Segmentation. Recommendation engines. Experience in one or more of the following business domains Customer Experience and Service. Finance. Operations. Good presentation skills and the ability to tell stories using data and PowerPoint/Dashboard Visualizations. Excellent organizational, analytical and problem-solving skills. Ability to communicate complex results in a simple and concise manner at all levels within the organization. Ability to excel in a fast-paced, startup-like environment. #LI-SS5 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.