Description About Exeevo: Exeevo is a global leader in customer relationship management (CRM) solutions, purpose-built for the Life Sciences industry. Our AI-powered, cloud-based platform unifies sales, marketing, medical, and service functions, enabling pharmaceutical, biotech, and medical device organizations to connect with stakeholders in transformative and innovative ways. By leveraging advanced technologies, Exeevo empowers Life Sciences companies to redefine how they engage with healthcare professionals, patients, and other key audiences, driving growth and delivering measurable business impact. Serving thousands of users across pharmaceutical and medical device companies globally, Exeevo has a strong international presence with offices in China, India, Europe, and North America About The Role The IT Support Engineer handles complex IT issues, works with infrastructure and applications across public cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP),Microsoft 365 services, endpoint management, and system-level troubleshooting. Provide advanced support for desktops, laptops, peripherals, and OS (Windows/macOS) Administer and troubleshoot Microsoft 365, Exchange, SharePoint, and Teams Working knowledge of at least one cloud platform: AWS, Azure, or GCP Manage security groups, distribution lists, and access permissions Manage Intune for device policies, compliance, and software deployment Handle identity and access management via Azure AD (MFA, group policies) Respond to and resolve basic user support requests via ticketing system, phone, or email Troubleshoot and resolve issues related to MS Office, printers, and basic network connectivity Perform initial triage of incidents and escalate where necessary Assist with user onboarding/offboarding, including account creation and equipment setup Monitor IT systems and report abnormalities or outages Coordinate with vendors for IT procurements and support escalations Perform hardware diagnostics and replacements Monitor and maintain IT systems including security (Defender for Endpoint/Kaseya-Bitdefender) Ensure IT asset inventory is accurate and updated Work within ITSM system to manage incident queues and escalate to L3 when necessary Requirements 5-7 years of experience in IT support with L2 responsibilities Hands-on experience with Microsoft 365, Intune, Azure AD, and endpoint security tools Strong troubleshooting skills for Windows and macOS systems Understanding of ITSM/ticketing systems such as ManageEngine, Jira Good documentation and communication skills Certifications like Microsoft 365 Fundamentals or ITIL are a plus Willingness to work in the US / Canada time zones.
Description Requirements About Exeevo Exeevo is a global leader in customer relationship management (CRM) solutions, purpose-built for the Life Sciences industry. Our AI-powered, cloud-based platform unifies sales, marketing, medical, and service functions, enabling pharmaceutical, biotech, and medical device organizations to connect with stakeholders in transformative and innovative ways. By leveraging advanced technologies, Exeevo empowers Life Sciences companies to redefine how they engage with healthcare professionals, patients, and other key audiences, driving growth and delivering measurable business impact. Serving thousands of users across pharmaceutical and medical device companies globally, Exeevo has a strong international presence with offices in China, India, Europe, and North America About Team Finance team handling finance function for India, US, Canada and China Role Summary Responsible for the P&L of Business unit, end-to-end accounting, MIS reporting, handling AR and AP. Partner with Business to ensure smooth flow of operations. Key Responsibilities Month-End and Year-End Close: handling the month-end and year-end closing process, ensuring that all transactions are recorded accurately, and any discrepancies are resolved efficiently Accruals and Provisions: Calculate and record accruals and provisions in line with company policies and accounting standards Revenue: Post the Revenue recognition entries monthly Payroll Accounting, Vendor invoice accounting and payments, Customer Invoicing and collections Regulatory Compliance : Handling internal and corporate Audit for the business units assigned. Ensure compliance with local and international accounting standards and tax regulations Preparation of Financial Statements: Lead the preparation and review of monthly, quarterly, and annual financial statements, ensuring timeliness and accuracy. Variance Analysis : Conduct detailed financial analysis, including P&L, balance sheet, and cash flow variances, and present insights to senior management. Forecasting and Budgeting : Lead the preparation and regular review of financial forecasts and budgets, providing strategic recommendations based on financial trends and business conditions Complex Reconciliations : Perform and review reconciliations of high-value and complex accounts, including intercompany accounts and multi-currency transactions Internal Controls : Design, implement, and monitor internal controls to mitigate financial risks Closely work with Business team and act as one point of contact for the business unit Must Have Required Skills and Experience 2 - 3 years' financial analysis and reporting experience Strong knowledge of accounting and reporting. Excel Expertise: High proficiency in Microsoft Excel, including advanced functions like macros, lookups, and pivot tables. Ability to handle large volume of data in Excel, ability to think and quickly respond for the ad hoc requests come from business to provide any kind of MIS Good to Have: Knowledge of Net suite. Education : Qualified CA Other Requirements / Working Conditions Flexible to work on regular and UK shift Participation in client and internal calls outside of normal business hours will be required.
Description About the Role: We are seeking a talented and driven Data Scientist to join our team in the life sciences industry. The ideal candidate will be responsible for a complete end-to-end data lifecycle, from ingesting raw data from Dataverse and external sources to building and deploying machine learning models in a production environment. The successful candidate will have a strong technical background, a deep understanding of data science fundamentals, and excellent communication skills. Requirements Responsibilities: Data Ingestion and Engineering: Acquire and process raw data from various sources, including Microsoft Dataverse and third-party applications. Design and implement robust data pipelines on the Azure platform to clean, transform, and prepare data for analysis and model training. Machine Learning Model Development & Deployment: Develop, train, and evaluate machine learning models for specific business problems, such as Next Best Action (NBA) and content recommendations. Utilize the Azure ML stack to deploy models into production, ensuring seamless and scalable consumption by Dynamics and custom applications. Collaboration & Communication: Work closely with clients to understand their data requirements and business needs. Use data visualization to communicate complex insights and model results to both technical and non-technical stakeholders. Collaborate with data engineers and product teams to ensure data quality, pipeline efficiency, and product alignment. Skills And Qualifications Mandatory Skills & Experience: Technical Foundation: Programming Proficiency: Mastery of Python and/or R, with strong SQL skills for data manipulation. Hands-on experience with critical libraries such as pandas, NumPy, scikit-learn, and deep learning frameworks like TensorFlow or PyTorch. Machine Learning Algorithms: Deep understanding of supervised and unsupervised learning, ensemble methods, and deep learning architectures. Proven ability to apply appropriate techniques for regression, classification, clustering, and neural network models. Data Expertise: Data Wrangling & Engineering: Expertise in cleaning, transforming, and preparing messy, real-world data. This includes handling missing values, identifying outliers, and performing advanced feature engineering. Data Visualization & Storytelling: Ability to create compelling data visualizations using tools like Matplotlib, Plotly, or Tableau to effectively communicate insights and tell a data-driven story. Azure & Cloud Experience: Proven experience in designing and implementing data pipelines in an Azure environment. Soft Skills: Excellent verbal and written communication skills with the ability to articulate complex technical concepts to a diverse audience, including clients and internal teams. Strong problem-solving and analytical skills with a proactive approach to identifying and addressing business challenges. Demonstrated ability to work effectively in a collaborative, team-oriented environment.