Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
We seek someone with a good blend of business consulting skills and a data analytics background to add to our team.
Responsibilities:
Work on the latest applications of data science to solve business problems.Work directly with client stakeholders to translate business problems into high-level analytics solution designs.Present analytic solutions to business audiences, highlighting the robustness of the solution and how it could help generate business value.Responsible for managing analytics projects, and collaborating with client stakeholders and Tiger’s team situated globally.Work with data engineers and analysts to develop, test and deploy data solutionsParticipate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights.Responsible for making presentations to senior management, communicating results to business teams, and developing plans to help operationalize the analytics solution.Requirements
7- 10 years of professional work experience with at least 5 years in data analytics.Expertise in data analysis, visualization, and Deck building.Experience with Python, SQL, and Tableau. Ability to engage with executive/VP-level stakeholders from the client’s team to translate business problems into high-level analytics solution approaches.Experience in data products is a bonus Strong project and team management skills and ability to work with global teams.Graduate in Business Analytics or MBA or equivalent work experience.Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Read LessTiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple geographies across the US, UK, India, Australia, Canada, Mexico, and Singapore, and a substantial remote global workforce.
We are seeking a dynamic and experienced DS/AI Tech Partner (a Data Science Growth Leader) to join our team. This role will co-own business development and growth initiatives from a technical perspective, designing strategy & supporting the execution of GTM efforts for our end-to-end enterprise-grade data science technology capabilities & solutions in AI, ML & AI Engineering across industries & domains. The ideal candidate will have a strong focus on delivering business outcomes for our customers using Data Science and possess a deep & fundamental understanding of DS methodologies and AI technology from experience in successfully delivering such business outcomes in their own careers.
Key Responsibilities:
Business Development & Growth:
Identify and pursue new business opportunities in the AI & ML space.Develop and execute strategies to expand our client base and market presence.Build and maintain strong relationships with key stakeholders and clients.Collaborate with sales and marketing teams to create compelling value propositions and proposals.Technical Leadership:
Lead the design, development, and deployment of enterprise-level data science solutions.Ensure solutions are scalable, robust, and aligned with business objectives.Stay abreast of the latest advancements in AI & ML technologies and integrate them into our offerings.Mentor and guide a team of data scientists and engineers to achieve project goals.Strategic Planning:
Develop and implement a strategic roadmap for data science initiatives.Align data science projects with overall business strategy and client needs.Drive innovation and continuous improvement in data science methodologies and practices.Client Engagement:
Work closely with clients to understand their business challenges and requirements.Translate client needs into actionable data science solutions.Present findings, insights, and recommendations to clients in a clear and compelling manner.Requirements
● Advanced degree (Ph.D. or Master’s) in Data Science, Computer Science, Statistics, or a related field.
● 18 to 20 years of extensive experience in the Data Science and AI space.
● Proven experience in a leadership role within the AI & ML services industry.
● Strong track record of driving business development and growth initiatives.
● Extensive experience in developing and deploying enterprise-level data science solutions.
● Excellent communication and interpersonal skills.
● Ability to work collaboratively in a fast-paced, dynamic environment.
Preferred Skills:
● Experience with cloud platforms (AWS, Azure, Google Cloud).
● Proficiency in programming languages such as Python, R, and SQL.
● Familiarity with big data technologies (Hadoop, Spark).
● Strong analytical and problem-solving skills.
Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
We are looking for someone with a good blend of Market Access skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.
RESPONSIBILITIES:
Senior client facing leads with direct interaction with Business stakeholders, where the candidate will play a consulting role for Market Access analytics, pitch ideas, develop solution frameworks, etc.Responsible for understanding the process flows and requirements of the Market Access business functions like Payer data, SP data, Patient Access, Laad dataResponsible for the delivery of business intelligence and requirements in the form of analytical datasets and reportsProvide insights related to the payer access, brand performance, contracting outcomesKnowledge of advanced analytics approaches and methodologies and best practices of leveraging data to drive informative decisionsProficiency in using advanced analytics to drive business value including ROI/value assessment, digital KPI tracking, campaign measurement, etcExperience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.Demonstrated ability to translate strategy into action; excellent analytical skills and an ability to communicate complex issues in a simple way and to orchestrate plans to resolve issues & mitigate risksExperience working with all levels of management and consulting with key business stakeholders.Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytics solutionRequirements
12-17 years of professional work experience with significant experience (typically 10+ years) in pharma analytics consulting, particularly in market access, or related roles within the pharmaceutical or biotech industry.Deep understanding of the pricing, reimbursement, and access landscape in key markets; knowledge of HTA processes; familiarity with regulatory policies impacting market access.Strong analytical capabilities to interpret health economics data, assess market dynamics, and develop evidence-based access strategies.Ability to lead cross-functional teams, influence without authority, and manage complex projects across regions.Capacity to anticipate market trends, assess risks, and develop proactive strategies that align with both short- and long-term business goalsStrong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or TableauExposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plusFunctional & Business understanding of the Market Access Area, in commercial PharmaGood understanding of Managed Market areaBenefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Read LessTiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, we are solving problems that eventually impact the lives of millions globally. Our culture is modeled around expertise and respect with a team-first mindset. Headquartered in Silicon Valley, you’ll find our delivery centers across the globe and offices in multiple cities across India, the US, UK, Canada, and Singapore, including a
substantial remote global workforce.
We’re Great Place to Work-Certified™. Working at Tiger Analytics, you’ll be at the heart of an AI revolution. You’ll work with teams that push the boundaries of what is possible and build solutions that energize and inspire.
We are seeking a highly skilled MLE/MLOps Engineer with a strong programming background and solid experience in software engineering practices. The ideal candidate will play a critical role in building and maintaining robust machine learning infrastructure, ensuring seamless integration between ML models and production systems.
Requirements
Design, implement, and maintain scalable and reliable MLOps pipelines for model training, deployment, and monitoring. Collaborate with data scientists and software engineers to productionize ML models. Develop and maintain CI/CD workflows for ML systems and model lifecycle management. Work with real-time data using Apache Spark Streaming to support high-throughput data processing pipelines. Ensure high availability and performance of ML services in production. Manage and automate infrastructure using tools such as Docker, Kubernetes, and Terraform. Monitor and improve system performance, model drift, and data quality issues. Implement best practices in software engineering including code reviews, testing, and documentation.Required Qualifications Bachelor's or Master's degree in Computer Science, Software Engineering, or related field. 7+ years of experience in software engineering / ML engineering with a strong programming foundation (Python, Java, or Scala). Proven experience with MLOps tools and frameworks for model deployment and lifecycle management. Hands-on experience with Apache Spark Streaming and real-time data processing. Solid understanding of cloud platforms (preferably Azure). Experience with version control (Git), containerization (Docker), and orchestration (Kubernetes). Familiarity with CI/CD tools like Jenkins, GitHub Actions, or Azure DevOps.Preferred Qualifications Experience with Azure ML or other managed ML platforms (e.g., SageMaker, Vertex AI). Exposure to ML model performance monitoring and alerting tools. Knowledge of ML model testing, data validation, and reproducibility. Experience working in an Agile development environment.Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
#LI-remote
Read LessTiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.
RESPONSIBILITIES:
Work on the latest applications of data science to solve business problems in Pharma and Lifescience domainWork directly with client stakeholders to translate business problems into high-level analytics solution designsKnowledge of advanced analytics approaches and methodologies and best practices of leveraging data to drive informative decisionsExperience in building and managing Data Science products for Commercial Analytics teams and use cases, such as Marketing Mix Modeling (MMX), Next Best Action, and Dynamic TargetingProficiency in using advanced analytics to drive business value including ROI/value assessment, digital KPI tracking, campaign measurement, etcExperience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc.Demonstrated ability to translate strategy into action; excellent analytical skills and an ability to communicate complex issues in a simple way and to orchestrate plans to resolve issues & mitigate risksExperience working with all levels of management and consulting with key business stakeholders.Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business valueParticipate in discussions with team members to select and apply relevant analytic techniques and create actionable business insightsResponsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytics solutionRequirements
12-18 years of professional work experience with at least 7 years in data analyticsAbility to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approachSolid understanding of statistical and machine learning algorithmsStrong project management and team management skills and ability to work with global teamsStrong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or TableauExposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plusAbility to work with IT and Data Engineering teams to help embed analytic outputs in business processesGraduate in Business Analytics or MBA or equivalent work experienceBenefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Read LessTiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.
RESPONSIBILITIES:
Work on the latest applications of data science to solve business problems in Pharma and Lifescience domainWork directly with client stakeholders to translate business problems into high-level analytics solution designsKnowledge of advanced analytics approaches and methodologies and best practices of leveraging data to drive informative decisionsProficiency in using advanced analytics to drive business value including ROI/value assessment, digital KPI tracking, campaign measurement, etcYou will be responsible for account management, client relationships, and account growthYou will be responsible for scaling pilots / POCs to a long-term transformative program and delivering continuous business valueExperience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc.Experience working with all levels of management and consulting with key business stakeholders.Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business valueResponsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytics solutionYou will explore opportunities with current and new buying centers and will collaborate with internal Tiger SMEs to create the right POVs / proposals to help drive growth. You will be responsible for P&L for your account portfolios managing revenue and margin goalsRequirements
10-16 years of professional work experience with at least 9 years in data analyticsAbility to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approachExperience in managing large accounts and active involvement in account growth. P&L ownership in the past would be an added advantageSolid understanding of statistical and machine learning algorithmsStrong knowledge of Lifescience and Pharma domainStrong project management and team management skills and ability to work with global teamsStrong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or TableauExposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plusAbility to work with IT and Data Engineering teams to help embed analytic outputs in business processesGraduate in Business Analytics or MBA or equivalent work experienceBenefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Read LessTiger Analytics is one of the fastest growing advanced analytics consulting and Engineering services firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and Al, and our engineers bring innovative engineering techniques to enable scalable data platforms and data products that are insights driven. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
The Technology Partner is a multi-faceted leadership role and part of Tiger’s core Data & Insights Solutions practice leadership. This role will be required to bring breadth and depth of technology expertise, founded in - experience with delivering large transformation, leading innovation driven practices, consulting to and managing executive stakeholders across IT and Business.
Requirements
Details:
The individual in this role will be required to provide Thought Leadership and Client EngagementLiaise with all levels of data leaders at our strategic clients to provide forward looking advisory and thought leadershipHold brown bags and educative forums to share thought leadership with our core clientsHold client platform, organization and practices reviews proactively and provide improvement recommendations, solutions and roadmapsProvide technology leadership to transformation agendas rooted in Data and Insights, addressing Technology, Organization and ProcessesHelp recruit key talent to fill key client technology rolesCreate detailed technology solutions for first of a kind and complex initiativesPre- Sales and New businessPresent Tiger capabilities to new prospectsCreate Solutions and Proposals for client requirementsData and Insights Practice LeadershipMentor Engineering Talent at different levelsManage architect resourcesCreate thought leadership content for go to market offerings including reference architectures, methods and practicesInterview and participate in helping evolve hiring practicesLiaison with offshore counterparts on solutions, training and overall capabilities developmentExpertise and Skills Needed:
Experience with Solution Architecture development for large enterprises and transformation programsStrong experience with traditional and modern data platforms –NoSQL, MPP, columnar, big data and cloud data platforms. Experience with Cloud Data platform services across AWS, Azure and GCP5+ years experience in consulting leadership roles.Experience with Data processing tools and frameworks including batch ETL, real time streaming and IoT architecturesExperience with Big Data, Data Fabric and Data Mesh Architectures.Experience with Federated and centralized Data Management practices and technologies including Data Governance. Experience with industry leading data management platformsExperience delivering data engineering solutions for Pharmaceutical or life sciences clientsExperience with establishing Data governance, Data catalogs and deep understanding of all dimensions of data securityExperience and expertise on MLOPs processes, platforms and organizational implicationsExperience with ML Models and modeling lifecycleExperience with data warehousing, BI lifecycle and technologiesKnowledge and experience with Knowledge graphs and related graph technologiesBenefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Read LessTiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
The Tiger Analytics team is looking for a seasoned professional with 10+ years of experience in Trade Promotion Management (TPM) to join our Data & Analytics team. This individual will act as a de facto TPM Product Manager, representing the data function while collaborating closely with cross-functional business teams.
Responsibilities:
Serve as the TPM point of contact within the Data & Analytics team, effectively translating business needs into technical solutions. Lead and manage multiple concurrent projects of moderate to high complexity, or a single large-scale program involving cross-functional teams across global locations. Drive the design and review process to ensure TPM solutions align with business goals. Set up and manage TPM deployment programs: define roll-out strategies, stakeholder engagement plans, governance frameworks, use cases, and success metrics. Partner with global and regional teams to support the US market deployment, with an eye on scaling to additional markets in the medium to long term. Strong background in Trade Promotion Management, with hands-on experience as either a business user of TPM tools or as a business translator involved in TPM product development. Experience in TPM solution deployment, with a clear understanding of typical implementation challenges and risk mitigation strategies. Ability to work cross-functionally and influence stakeholders across technical and non-technical teams.Requirements
Bachelor’s degree in Computer Science or related field.10 -15 years of professional work experience with at least 5 years in the consulting space, specifically in the CPG domain.Excellent communication, organization, and program management skills. Familiarity with TPO (Trade Promotion Optimization) tools and how they integrate with TPM systems. Experience supporting TPM or related deployments in CPG/FMCG organizations.In-depth experience in Release management and Project ManagementExperience and knowledge with the Data Warehouse ETL processExperience with tools and concepts related to data and analytics, such as data modelling, dimensional modelling, ETL, reporting tools, data governance, data warehousing, structured and unstructured dataConsulting experience is highly preferredBenefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Read LessTiger Analytics is an advanced analytics consulting firm recognized for our deep expertise in Data Science, Machine Learning, and AI. Our partnerships with Fortune 100 companies enable us to tackle complex business challenges and drive value through innovative analytical solutions. We are currently looking for a Sr. Consultant/Manager - Credit Risk (Loss Forecasting) to join our team and contribute to transformative projects.
The ideal candidate will leverage their strong understanding of loss forecasting techniques within the credit risk domain, to develop and validate predictive models and frameworks for strategic decision-making.
Responsibilities-
1. Loss Forecasting Model Development: Design, develop, and validate models for loss forecasting that align with regulatory requirements and internal business needs.
2. Data Analysis: Utilize advanced analytical techniques to identify trends, analyze data and provide insights into potential performance impacts.
3. Cross-functional Collaboration: Engage with internal stakeholders, including risk management, financial planning, and credit policy teams to ensure the effective implementation of forecasting models.
4. Reporting and Presentation: Prepare and present detailed reports to senior leadership, highlighting model performance, findings, and actionable insights.
Requirements
Minimum of 5 years of experience in credit risk management, focusing on loss forecasting in the financial services industry.Strong understanding of loss modeling techniques, including vintage analysis, PD, LGD, roll rate models, and macroeconomic drivers.Proficient in data analysis and visualization tools, including Python, R, SQL, and advanced Excel.Experience with model validation and regulatory compliance related to credit risk forecasting.Exceptional analytical and problem-solving skills, with a strong attention to detail.Excellent communication skills, with the ability to articulate complex concepts to non-technical stakeholders.Hands on Experience in Data science aspects of Forecasting Models like feature engineering, model selection and model applicationBenefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
Read LessTiger Analytics is one of the fastest growing advanced analytics consulting and Engineering services firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and Al, and our engineers bring innovative engineering techniques to enable scalable data platforms and data products that are insights driven. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
The Technology Partner is a multi-faceted leadership role and part of Tiger’s core Data & Insights Solutions practice leadership. This role will be required to bring breadth and depth of technology expertise, founded in - experience with delivering large transformation, leading innovation driven practices, consulting to and managing executive stakeholders across IT and Business.
Requirements
Details:
The individual in this role will be required to provide Thought Leadership and Client EngagementLiaise with all levels of data leaders at our strategic clients to provide forward looking advisory and thought leadershipHold brown bags and educative forums to share thought leadership with our core clientsHold client platform, organization and practices reviews proactively and provide improvement recommendations, solutions and roadmapsProvide technology leadership to transformation agendas rooted in Data and Insights, addressing Technology, Organization and ProcessesHelp recruit key talent to fill key client technology rolesCreate detailed technology solutions for first of a kind and complex initiativesPre- Sales and New businessPresent Tiger capabilities to new prospectsCreate Solutions and Proposals for client requirementsData and Insights Practice LeadershipMentor Engineering Talent at different levelsManage architect resourcesCreate thought leadership content for go to market offerings including reference architectures, methods and practicesInterview and participate in helping evolve hiring practicesLiaison with offshore counterparts on solutions, training and overall capabilities developmentExpertise and Skills Needed:
Experience with Solution Architecture development for large enterprises and transformation programsStrong experience with traditional and modern data platforms –NoSQL, MPP, columnar, big data and cloud data platforms. Experience with Cloud Data platform services across AWS, Azure and GCP5+ years' experience in consulting leadership roles.Experience with Data processing tools and frameworks including batch ETL, real time streaming and IoT architecturesExperience with Big Data, Data Fabric and Data Mesh Architectures.Experience with Federated and centralized Data Management practices and technologies including Data Governance. Experience with industry leading data management platformsExperience with establishing Data governance, Data catalogs and deep understanding of all dimensions of data securityExperience and expertise on MLOPs processes, platforms and organizational implicationsExperience with ML Models and modeling lifecycleExperience with data warehousing, BI lifecycle and technologiesKnowledge and experience with Knowledge graphs and related graph technologiesBenefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Read Less