PEVERSANA INTOUCH is a leading full-service, global healthcare agency serving the life sciences and pharmaceutical industries. We provide next-generation creative and media services, enterprise solutions and data analytics services for clients.br/ppWe combine the power of world-class creative and digital teams with deep market access, payer, and healthcare communications expertise to provide innovative solutions to life science companies that want to connect with consumers, healthcare professionals, and payers.br/ppWe get fired up when people talk about getting—and staying—healthy. That’s where we find our inspiration: in the very human experiences of patients, doctors, and even each other. Then, we collaborate on ways to make caring for one’s health more achievable, connecting patients and physicians with the information and tools they need.br/ppAnd as a part of EVERSANA, a pioneer in next-generation commercial services, we connect dots that other agencies can’t, helping drive commercialization success.br/ppOur nine affiliates within the EVERSANA INTOUCH Network include EVERSANA INTOUCH Solutions, EVERSANA INTOUCH Proto, EVERSANA INTOUCH Seven, EVERSANA INTOUCH Oxygen, EVERSANA INTOUCH Healthware, EVERSANA INTOUCH Medical Communications, EVERSANA INTOUCH Market Access, EVERSANA INTOUCH Media and EVERSANA INTOUCH TTC.brbr/pstrongJob Descriptionbr/strongpAs an strongAssociate Data Scientist /strong, you will support the development of AI solutions by working on data preparation, model experimentation, and prototyping of LLM-based applications. You’ll collaborate with cross-functional teams, contribute to documentation and reproducible workflows, and stay updated on the latest advancements in generative AI. Under the guidance of senior experts, you’ll help translate business and research questions into data-driven solutions while upholding ethical standards and promoting inclusive practices.br/ppstrongESSENTIAL DUTIES AND RESPONSIBILITIES:br/strongbrOur employees are tasked with delivering excellent business results through the efforts of their teams. These results are achieved by:br/pulliSupport in the collection, cleaning, and transformation of structured and unstructured datasets. /liliAssist in developing, testing, and evaluating predictive and generative models. /liliContribute to the prototyping of LLM-based applications, including chatbots, copilots, or information retrieval system. /liliCollaborate with cross-functional teams on applied AI use cases. /liliDocument workflows, results, and findings for internal reports or external dissemination. /liliWork under the supervision of senior data scientists or AI researchers to execute well-defined tasks. /liliEnsure reproducibility and code quality in data workflows and model development. /liliKeep up to date with recent advancements in generative AI, LLM architectures, and agent-based frameworks. /liliTranslate business or research questions into analytical problems and propose data-driven solutions. /liliMaintain ethical standards and data privacy principles in all stages of analysis and modeling. /liliDemonstrate a commitment to diversity, equity, and inclusion through continuous development, modeling inclusive behaviors, and proactively managing bias. /liliAll other duties as assignedbr/li /ulstrongQualificationsbr/strongpstrongMINIMUM KNOWLEDGE, SKILLS AND ABILITIES:br/strong /ppThe requirements listed below are representative of the experience, education, knowledge, skill and/or abilities required.br/pulliProgramming Languages: Python (mandatory), R, SQL; familiarity with Git and Jupyter notebooks. /liliData Analysis Visualization: Pandas, NumPy, matplotlib, Plotly, Excel, PowerBI /liliMachine Learning: Basic understanding of supervised and unsupervised learning; initial experience with Scikit-learn, XGBoost, or similar libraries. /liliLLM/RAG: Introductory knowledge of transformer-based models (e.g., BERT, GPT). Familiar with using LLM APIs (e.g., OpenAI, HuggingFace) for text generation, classification, summarization. Exposure to prompt engineering and fine-tuning workflows. Experience integrating RAG pipelines using tools such as LangChain, or LlamaIndex. /liliDatabases: Familiar with SQL (PostgreSQL, MySQL) and possibly exposure to NoSQL systems (MongoDB). /liliCloud Tools (optional): Exposure to platforms like AWS, Azure, or GCP; basic use of Docker is a plus. /liliVersion Control: Basic proficiency with Git/GitHub. /liliStrong analytical mindset with attention to detail. /liliComfortable working in cross-functional teams and under the mentorship of senior data scientists. /liliEffective communicator of technical findings to both technical and non-technical audiences. /liliFluent English (B2/C1) /li /ulpstrongPREFERRED QUALIFICATIONS:br/strong /pulliBachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or related fields. /liliSolid foundation in probability, statistics, linear algebra, machine learning, and natural language programming. /liliOptional coursework or certifications in Data Analytics, Artificial Intelligence, or Big Data technologies. /lili2/3 years of experience in a related fields. /liliAcademic projects or thesis involving data preprocessing, exploratory analysis, model development or language processing. /liliExperience presenting insights through dashboards, written reports, or oral presentations.br/li /ulstrongAdditional Informationbr/strongpstrongOUR CULTURAL BELIEFS /strongbr/pullistrongPatient Minded /strongI act with the patient’s best interest in mind. /lilistrongClient Delight /strongI own every client experience and its impact on results. /lilistrongTake Action /strongI am empowered and hold myself accountable. /lilistrongEmbrace Diversity /strongI create an environment of awareness and respect. /lilistrongGrow Talent /strongI own my development and invest in the development of others. /lilistrongWin Together /strongI passionately connect with anyone, anywhere, anytime to achieve results. /lilistrongCommunication Matters /strongI speak up to create transparent, thoughtful, and timely dialogue. /lilistrongAlways Innovate /strongI am bold and creative in everything I do. /li /ulpOur team is aware of recent fraudulent job offers in the market, misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites, unsolicited e-mails, or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA.br/ppFrom EVERSANA’s inception, Diversity, Equity Inclusion have always been key to our success. We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity. All of our employees’ points of view are key to our success, and inclusion is everyone's responsibility.br/ppFollow us on LinkedIn | Twitterbr/p #J-18808-Ljbffr