Senior Consultant, Data Science – Elevate – Healthcare & Life Sciences

master-TMS•Chicago, IL

8d•$125,000 - $150,000•Hybrid

About The Position

Simon-Kucher Elevate is seeking a Senior Consultant, Data Science to join their digital consulting team focused on commercial growth within the Healthcare & Life Sciences industry. This role involves leveraging technology, data, and creativity combined with deep strategy, pricing, market access, and sales expertise to optimize the commercial and patient journey. The position offers an opportunity to advance personal development in data science, analytics, and AI within an innovative and agile work environment, applying advanced analytics to complex healthcare and life sciences challenges for leading companies in the pharmaceutical, biotech, medtech, payer, provider, and healthcare technology sectors. The role is based in the United States, with potential locations in Boston and Chicago.

Requirements

Undergraduate and/or graduate degree from an accredited university or college in economics, computer science, engineering, business, statistics, marketing, finance, math, or related field.
2+ years of relevant full-time work experience in AI, data science, analytics and digital in consulting and/ or commercial functions (e.g. pricing, marketing, sales), ideally with exposure in healthcare and life sciences.
Strong hands-on proficiency in Python and SQL, including data cleaning, exploratory analysis, feature engineering, model development, analysis, and automation.
Experience with visualization tools such as Power BI and/or Tableau, relational databases, ETL processes, and data engineering concepts.
Strong technical foundation in statistical modeling, machine learning, and predictive modeling, with practical experience selecting, validating, and explaining models for business use cases.
Familiar with commonly used modeling techniques such as linear regression, logistic regression, support vector machines, decision trees, random forests, XGBoost, CatBoost, LightGBM, and other, supervised learning approaches.
Proven experience analyzing and solving complex business problems using well-developed quantitative, conceptual, and analytical problem-solving skills, with the ability to define clear, actionable recommendations.
Ability to translate complex analytical outputs into clear, practical recommendations for business, client, and executive audiences.
Excellent communication and presentation skills, with fluency in English, both written and verbal, and a client-focused attitude.
Proactive, self-motivated, and able to work both independently and collaboratively in a fast-paced environment.
Sharp, analytical, and structured problem-solving mindset.
Strong collaboration, teamwork, and project management skills.
Proficiency in Microsoft Office Suite, including Word, Excel, PowerPoint, and Outlook.
Ability to work from the office or client site 2–3 days per week in alignment with the hybrid working model.

Nice To Haves

Familiar with concepts such as LLM-based workflows, prompt design, tool/function calling, retrieval-augmented generation, workflow orchestration, or AI agent evaluation is a plus.
Familiarity with common cloud-based machine learning platforms such as AWS SageMaker, Google Cloud Vertex AI, and Azure Machine Learning.
Experience working with healthcare and life sciences data sources such as claims, EHR/EMR, prescription, patient-level, provider, payer, market access, CRM, promotional, real-world data, or clinical data is preferred.
Familiarity with commercial challenges in healthcare and life sciences, including launch strategy, pricing, access, segmentation, forecasting, promotional effectiveness, patient journeys, and provider engagement.

Responsibilities

Represent Simon-Kucher as an individual contributor, delivering high-quality outputs and client-ready deliverables that meet and exceed client expectations.
Work in teams across a wide variety of healthcare and life sciences clients, products, and project types, including pharmaceutical, biotech, medtech, payer, provider, healthcare technology, analytics, digital, commercial, market access, medical, and strategy engagements.
Analyze and interpret healthcare and life sciences data to support pricing, market access, sales, launch, and commercial strategies; identify opportunities; and develop actionable recommendations linked to revenue growth, market access, patient impact, launch success, and commercial performance.
Support data science engagements and analytical workstreams by contributing to high-quality analysis, rigorous methodology, clear documentation, analytical frameworks, financial models, quality assurance, and actionable recommendations.
Support AI solution and agent development and implementation strategy, including patient and provider segmentation, next-best-action, forecasting, demand modeling, pricing analytics, promotional effectiveness, and real-world data analytics.
Apply theoretical knowledge to develop predictive models using modern statistical, mathematical, machine learning, and artificial intelligence techniques.
Conduct predictive analyses by selecting, testing, and applying appropriate modeling methods.
Support the development of innovative strategies for pricing, marketing, and sales using expertise in machine learning, artificial intelligence, analytics, and healthcare and life sciences industry knowledge.
Prepare compelling presentations, reports, and client-ready deliverables that communicate findings and recommendations clearly and impactfully to senior and executive audiences.
Participate in client meetings, workshops, discussions, and presentations through exceptional service and effective communication.
Support the development of materials for healthcare and life sciences analytics engagements, including research, analysis, pitch materials, and client discussion documents.
Stay current with emerging research, market changes, and the latest data trends, while actively engaging in team discussions, workshops, and training sessions.
Contribute innovative ideas, creative solutions, healthcare and life sciences analytics offerings, thought leadership, and reusable assets that address client business challenges and capitalize on market opportunities.
Collaborate with internal and external business and technology experts from around the world as part of a growing, multicultural team.
Engage in workshops and training sessions to enhance consulting and business acumen, technical expertise, healthcare and life sciences knowledge, and understanding of Simon-Kucher methodologies.
Contribute to a collaborative and inclusive environment that fosters belonging for all.