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JOB OBJECTIVE : Work as a leader in the Decision Science Practice and help scale up the practice (People, Processes, Innovation, Thought Leadership, Top Line, Bottom Line etc. KEY RESPONSIBILITIES : - Leadership : Collaborative leadership in a matrix environment, managing accounts and programs independently or with little support, to deliver revenue and customer satisfaction objectives. Be a partner to onshore leaders/ clients and lead RPFs/ proposals/ POVs etc. to help grow the business - Delivery & People Management : Nurture and build teams to deliver multiple client engagements. Delivery role will include project scoping, solution design, working closely with team in successful delivery - Thought leadership and innovation : Leverage latest technologies, algorithms and processes to generate new ideas, build new solutions and capability for the organization. Optimize the current processes and bring in delivery innovations towards clients and internal objectives - Capability/ Org building : Build and scale up capabilities to help efficient business delivery. Recruit, train, mentor and help build the team - Handle Client Relationship : Manage client relationship and client expectations independently. Should be able to deliver results back to the Client independently. - Should have excellent communication skills : verbal, written, presentation. ELIGIBILITY CRITERIA : - Education : B-Tech or BE in any engineering discipline or PG in Statistics/ Mathematics/ Operation Research/MBA from top tier college. - Required Experience : Over 18 years of progressive experience, with a strong preference for leadership roles in the Life Sciences and Pharmaceutical domains. - Proven expertise in leading large-scale analytics engagements, delivering measurable business impact across complex, global environments. - Proven expertise in leveraging patient analytics, real-world data (RWD), and advanced data science techniques, along with deep experience across core pharmaceutical analytics areas including forecasting, sales, marketing, payer, and provider insights. - Statistical analysis and modeling knowledge with a proven ability to translate complex data into actionable insights through compelling visualizations, consulting acumen, and strategic storytelling. - Demonstrated logical and strategic thinking in designing, developing, and scaling analytics solutions across domains such as patient, sales, and marketing analytics. - Ability to lead and expand client portfolios, driving growth in close collaboration with cross-functional and senior stakeholders. - Demonstrated people, project, program and client management skills with strong communication skills. - Technical awareness- R/ Python/ SQL. - Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. - Prior experience in pharmaceutical commercial analytics is highly desirable. Desirable qualities : - Results-Oriented and Self-Driven : Demonstrates strong initiative, sets clear priorities, and pursues goals with persistence and a sense of ownership. Overcomes challenges with resilience and a commitment to outcomes. - Customer Focus : Deeply committed to understanding and exceeding the expectations of both internal and external clients, ensuring long-term partnership and trust. - Problem Solving : Applies structured thinking and analytical rigor to tackle complex challenges. Seeks diverse perspectives, identifies root causes, and delivers pragmatic, high-quality solutions. - Learning on the Fly : Adapts quickly to new situations, absorbs knowledge rapidly, and applies learnings effectively - Hands-on person : Actively involved in solution design, proposal development, and creation of high-impact deliverables including RFP responses and strategic presentations. - Skilled in developing and delivering client presentations that clearly articulate insights, recommendations, and business value

Delhi NCR

Gurgaon/Gurugram

Noida

Axtria - Principal Data Scientist 

Role Overview : We are hiring an experienced Senior Data Engineer with a strong background in Pharma / Life Sciences data engineering to design, build, and optimize large-scale data pipelines and analytics platforms. The role requires deep hands-on expertise in PySpark, Python, AWS, SQL, and modern data engineering practices, with proven experience working on pharma commercial, clinical, or patient data. Key Responsibilities : - Design, develop, and maintain scalable data pipelines using PySpark and Python for large, complex pharma datasets. - Build and optimize ETL/ELT workflows to process structured and unstructured life sciences data. - Work extensively with AWS services to develop cloud-native data engineering solutions. - Develop and optimize complex SQL queries for data transformation, validation, and reporting. - Ensure high standards of data quality, data governance, and compliance, aligned with pharma and regulatory requirements. - Collaborate closely with data scientists, analytics teams, and business stakeholders to enable advanced analytics and ML use cases. - Implement performance tuning, monitoring, and optimization for Spark jobs and data pipelines. - Follow best practices for version control, CI/CD, and agile delivery using tools such as Git and Jira. - Provide technical leadership and mentor junior and mid-level data engineers. - Own delivery timelines and ensure production-grade reliability of data platforms. Mandatory Skills & Qualifications : Technical Skills : - 8+ years of overall experience in Data Engineering. - Strong hands-on experience with PySpark for large-scale data processing. - Advanced proficiency in Python for data engineering and pipeline development. - Strong experience with AWS cloud services (e., S3, EC2, EMR, Glue, Redshift, Lambda). - Excellent command of SQL, including performance tuning and complex query optimization. - Solid understanding of data modeling, distributed systems, and big data architectures. Domain Expertise (Mandatory) : - Proven experience working in Pharma / Life Sciences domain. - Hands-on exposure to commercial pharma data, clinical data, patient data, or real-world evidence (RWE). - Strong understanding of pharma data standards, compliance, and governance requirements. Preferred / Good to Have : - Experience with workflow orchestration tools (Airflow, Step Functions). - Exposure to data warehousing and lakehouse architectures. - Familiarity with Spark performance tuning and cost optimization on AWS. - Experience supporting analytics, BI, or machine learning workloads. - Knowledge of healthcare/pharma regulations and data privacy standards. Soft Skills : - Strong analytical and problem-solving skills. - Self-driven with the ability to work in a fast-paced, delivery-focused environment. - Excellent communication and stakeholder management skills. - Proven ability to mentor teams and drive technical excellence

Pune

Bangalore

Hyderabad

Axtria - Senior Data Engineer - Python/PySpark 

Position Summary : Axtria is seeking an experienced Techno-Functional SME to bridge business and technical domains in pharmaceutical data operations, analytics and governance. Candidate must have extensive hands-on experience with modern data tools like Informatica IDMC, Databricks, Python along with understanding of regulatory and business landscapes of Japan's pharmaceutical industry. Candidate will collaborate with cross-functional teams to optimize data workflows, provide domain expertise and support strategic initiatives for transforming pharma data ecosystems. Job Responsibilities : Technical Responsibilities : - Develop and maintain ETL pipelines for data ingestion, transformation and processing in IDMC and Databricks. - Write and optimize Python scripts for data extraction, transformation and automation. - Leverage Databricks for advanced analytics, data engineering and machine learning workflows. - Handle structured and unstructured data, including datasets in PDF or raw text formats. Pharma Domain Expertise : - Support projects involving pharma datasets, such as HCP targeting, sales analytics, patient data and claims analysis. - Ensure compliance with pharmaceutical regulations, including data privacy and regulatory standards (e. PMDA). - Provide insights on commercial operations, market segmentation and patient trends in pharmaceutical landscape. Stakeholder Engagement : - Collaborate with business stakeholders to gather requirements and define data solutions aligning with business objectives. - Act as a liaison between technical teams and business units, ensuring mutual understanding of goals and deliverables. - Conduct workshops, training and presentations to enable stakeholders to leverage data solutions effectively. Process Improvement and Governance : - Drive the adoption of best practices in data governance, quality and operational efficiency. - Support Agile project execution, participating in sprint planning, backlog grooming and retrospectives. - Identify and implement process improvements to ensure scalable and future-ready data ecosystems. Education : B. Tech or Masters degree in Computer Science, Data Science or related fields. Work Experience : - 8+ years of experience in the pharmaceutical industry or life sciences domain. - 3+ years of experience in a techno-functional role, with expertise in pharma data ecosystems. - Hands-on experience in tools and platforms like Informatica IDMC, Databricks and Python. - Demonstrated expertise in handling pharma datasets like IQVIA, Veeva CRM, patient claims or sales data. - Previous experience working within the Japan pharmaceutical regulatory environment is highly desirable. Behavioural Competencies : - Ability to work effectively with cross-functional teams across geographies and domains. - Analytical mindset with a focus on identifying and resolving data-related challenges. - Strong written and verbal communication skills, including the ability to present technical concepts to non-technical stakeholders. - Willingness to navigate complex projects and align with rapidly changing business needs. - Familiarity with working in the Japanese business environment and understanding cultural nuances. Technical Competencies : - Expertise in ETL development and automation using IDMC and Databricks. - Proficiency in Python, with familiarity in PySpark for big data processing. - Strong experience with cloud-based data warehousing solutions e. Redshift or Snowflake - Hands-on experience in large-scale data processing, analytics using Databricks. - Working knowledge of Cloud Platforms e. AWS, Azure, Google Cloud. - Understanding of Japans pharmaceutical data regulations and their application to data platforms. - Familiarity with tools and frameworks for data cataloging, quality management and compliance tracking

Axtria - Techno-Functional Subject Matter Expert - Informatica IDMC 

About the Role : The Associate Business Information Management (BIM) will support data management, reporting, insights generation, and information governance activities across the organization. The role involves working closely with business stakeholders, data engineers, and analytics teams to ensure data accuracy, availability, and meaningful insights for decision-making. Key Responsibilities : Data Management & Governance : - Assist in maintaining enterprise data repositories, metadata, and master data. Support data quality checks, validation processes, and resolution of data issues. - Document data flows, business rules, and data lineage for assigned domains. Reporting & Analytics : - Develop and maintain dashboards and reports using BI tools (Power BI, Tableau or Qlik). - Extract, transform, and analyze data to provide actionable business insights. - Prepare periodic business performance reports, KPIs, and operational metrics. Business Requirements & Collaboration : - Gather and document business information needs for reporting and analytics. - Collaborate with cross-functional teams such as IT, Product, and Operations to support data-driven initiatives. - Support user training, report usage tracking, and adoption of BI tools. Systems & Tools Support : - Work with data platforms, data warehouses, and ETL/ELT pipelines. - Assist in testing new data integrations, enhancements, and platform upgrades. - Maintain and update data catalogues and BI documentation repositories. Required Skills & Qualifications : Technical Skills : - Strong knowledge of SQL for data querying and analysis. - Hands-on experience with BI tools (Power BI / Tableau / Qlik). - Understanding of data modelling concepts, relational databases, and data warehousing. - Basic knowledge of ETL tools or data pipelines (e.g., Talend, Informatica, Azure Data Factory, AWS Glue, etc.). Proficiency in Excel for data analysis. - Business & Analytical Skills Ability to interpret data, identify trends, and provide insights. - Strong documentation skills (BRD, data definitions, reports catalogue). - Good problem-solving and analytical thinking skills. Preferred Qualifications : - Bachelors degree in Computer Science, Information Systems, Data Analytics, Engineering, or related fields. - Exposure to cloud platforms (AWS/Azure/GCP) is a plus. - Experience with Python/R for basic analytics is an advantage. - Familiarity with data governance frameworks (DAM A, DCAM, etc.) is beneficial.

Axtria - Associate - Data Management 

Description : Your Responsibilities Includes But Not Limited : - Be an Individual Contributor in the Analytics and Development team and solve real-world problems using cutting-edge capabilities and emerging technologies based on LLM/GenAI/GPT. - Software development experience in python is needed as backend for UI based applications. - Be a part of large delivery teams working on advanced projects when expert assistance is required. - Deliver advanced Data Science capabilities to businesses in a meaningful manner through successful proof-of-concept solutions, and later smoothly transition the proof-of-concept into production. - Create Technical documents, develop, test, and deploy data analytics processes using Python, SQL on Azure/AWS platforms. - Can interact with client on GenAI related capabilities and use cases. Must Have Skills : - Minimum of 5-6 years develop, test, and deploy Python based applications on Azure/AWS platforms. - Must have basic knowledge on concepts of Generative AI / LLMs / GPT. - Deep understanding of architecture and work experience on Web Technologies. - Python, SQL hands-on experience. - Expertise in any popular python web frameworks e.g flask, Django etc. - Familiarity with frontend technologies like HTML, JavaScript, REACT.

Axtria - Manager - Data Science 

Description : Job Summary : Data Scientist with good hands-on experience of 3+ years in developing state of the art and scalable Machine Learning models and their operationalization, leveraging off-the-shelf workbench production. Job Responsibilities : - Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib. - Proficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc. - Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence. - Good understanding of any of the cloud platform AWS, Azure or GCP. - Understanding of Commercial Pharma landscape and Patient Data / Analytics would be a huge plus. - Should have an attitude of willingness to learn, accepting the challenging environment and confidence in delivering the results within timelines. - Should be inclined towards self motivation and self-driven to find solutions for problems. Job Requirements : - Strong experience on Spark with Scala/Python/Java. - Strong proficiency in building/training/evaluating state of the art machine learning models and its deployment. - Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering. - Proficiency in Core NLP techniques like Text Classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, etc. - Understanding of Generative AI / Large Language Models / Transformers would be a plus. Qualification : - B-Tech or BE in Computer Science / Computer Applications from Tier 1-2 college with 3+ years of proven experience in the field of Advanced Analytics or Machine Learning. - Masters degree in Machine Learning / Statistics / Econometrics, or related discipline from Tier 1-2 college with 3+ years of experience. Must have Skills : - Real-world experience in implementing machine learning/statistical/econometric models/advanced algorithms. - Breadth of machine learning domain knowledge. - Experience in application of machine learning algorithms (classification, regression, deep learning, NLP, etc. - Experience with a ML/data-centric programming language (such as Python, Scala, or R) and ML libraries (pandas, numpy, scikit-learn, etc. - Experience with Apache Hadoop / Spark (or equivalent cloud-computing/map-reduce framework). Skills that give you an edge : - Strong analytical skills to solve and model complex business requirements are a plus. - With life sciences or pharma background.

Axtria - Senior Associate - Data Science 

Description : Position Summary : Highly skilled GenAI Application Leader with 15+ years of total experience who can drive the design, development, testing, and deployment of Generative AIbased applications focused on Data and Analytics in Life Sciences domain. The ideal candidate will have a strong background in Python, RAG, knowledge graphs, Gen AI/LLM frameworks (LangChain, LangGraph), AWS/Azure cloud services with hands-on experience integrating and fine-tuning GPT, Anthropic Claude, Mistral, or Snowflake Cortex for real-world business use cases. Strong client problem-solving skills across life sciences data and analytics is a plus. This role bridges AI engineering, data analytics, and full-stack development, creating intelligent applications that augment data-driven decision-making. Job Responsibilities : Solution Architecture & Design : - Lead the end-to-end architecture and design of Generative AI applications - Drive solution and architecture discussions with client teams using LLMs, Retrieval-Augmented Generation (RAG), Knowledge Graphs for structured and unstructured data sources. - Understand business requirements and guide team to build the same into modular AI workflows, ensuring scalability, security, and performance. - Evaluate and recommend GenAI frameworks/tools (LangChain, LangGraph, Semantic Kernel, etc.) - Collaborate with data engineers and pharma domain experts to design semantic data models and context-aware knowledge base. Leading Gen AI Application Development & Engineering Teams : - Drive full-stack design and development using Python (FastAPI, Flask) and React/Next.js for GenAI-powered frontends. - Drive teams building microservices or API layers that expose AI functionalities securely across teams and systems. - Design user-centric applications that embed GenAI outputs seamlessly into custom UI or enterprise BI tools like Power BI - Work with data engineering and analytics teams to connect GenAI apps to existing data ecosystems (AWS S3, Azure Data Lake, Snowflake, Databricks, etc.) - Drive usage of knowledge graphs and metadata-driven approaches to enhance contextual reasoning and data discovery AI Model Integration & Fine-tuning : - Drive the integration of LLMs (OpenAI GPT, Anthropic Claude, Mistral, Snowflake Cortex, etc.) into enterprise-grade applications. - Fine-tune or prompt-tune foundation models using domain-specific data (commercial, patient, Omni -channel, clinical, or market access data). - Design and implement RAG architectures leveraging vector databases (ChromaDB, Pinecone, FAISS, Weaviate etc.) - Develop prompt engineering frameworks and guardrails to ensure factuality, interpretability, and compliance. - Establish evaluation pipelines for model performance, accuracy, latency, and hallucination detection. Leadership & Collaboration : - Drive Gen AI use cases which are relevant to BIM practice (focused on data management and analytics) - Drive adoption of Gen AI use cases across BIM practice to drive speed and efficiency gains - Lead a cross-functional GenAI development team of engineers, business analysts, data scientists, and UI developers. - Stay ahead of the curve with emerging LLM architectures, multi-agent systems, and reasoning frameworks to provide technical guidance to the teams. - Drive knowledge-sharing sessions and PoCs to evangelize Generative AI adoption across the organization. Education : BE/B.Tech, Master of Computer Application Behavioural Competencies : - Attention to P&L Impact - Teamwork & Leadership - Lifescience Knowledge - Cultural Fit - Problem solving - Talent Management - Capability Building / Thought Leadership - Delivery Management- BIM/ Cloud Info Management Technical Competencies : - AWS CodeBuild - ML Data Science - AIML - Databricks - Snowflake - Azure ML Studio - ML Ops - ML engineering - React - Python

Axtria - Data Science Manager - Generative AI Apps 

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