Data Scientist – Decision Science, Modelling

🕒 July 23

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 28%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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M3 USA

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2000

🏥 Healthcare

💼 Consulting

⚕️ Healthcare Insurance

Healthcare • Consulting • Healthcare Insurance

M3 USA is a company that specializes in providing market research, recruitment, and promotional solutions to the healthcare industry. They focus on connecting healthcare professionals, particularly physicians, with tools and resources that improve the practice of medicine. Through a variety of services, including qualitative and quantitative market research, multi-channel promotion, healthcare recruitment, and clinical trials, M3 USA supports the life sciences industry by enabling healthcare professionals to stay informed and provide optimal care. A subsidiary of M3 Inc. , M3 USA is engaged with leading pharmaceutical companies and offers extensive research capabilities across Europe and the U. S. They are known for their data-driven intelligence and their efforts in building networks within the healthcare community.

📋 Description

• Design, develop and maintain statistical, probabilistic and simulation-based models. • Translate complex business questions into tractable modelling problems. • Select appropriate modelling approaches based on the characteristics of the problem rather than methodological preference. • Develop prototypes and working solutions iteratively, refining approaches as new information becomes available. • Build analytical assets that can be reused as products, decision-support tools or operational capabilities. • Design and analyse experiments to evaluate interventions, operational changes and model effectiveness. • Work effectively with incomplete, imperfect and evolving datasets. • Develop approaches for estimating missing information and combining evidence from multiple sources. • Quantify uncertainty and communicate appropriate confidence in model outputs. • Test assumptions and identify limitations within modelling approaches. • Develop frameworks that improve operational and commercial decision-making. • Evaluate alternative actions, trade-offs and potential outcomes. • Support automation of appropriate decision processes through analytical models. • Design experiments and simulations that inform strategic and operational choices. • Validate models using appropriate testing, back-testing and comparison techniques. • Assess sensitivity to assumptions and changing conditions. • Monitor model performance over time and identify concept drift or degradation. • Maintain high standards of analytical rigour and reproducibility. • Partner closely with Business Analysts, Engineering, Product and operational teams. • Explain modelling approaches, assumptions and results clearly to non-technical audiences. • Document methodologies, limitations and recommendations in a practical and accessible way. • Contribute to a culture of experimentation and evidence-based decision-making. • Design models and analytical approaches with operational deployment in mind. • Work closely with Engineering teams to translate models into scalable production solutions.

🎯 Requirements

• Strong grounding in applied statistics, modelling, data science, operational research, economics, mathematics or a related quantitative discipline. • Experience building models that support real-world decisions, products or operational processes. • Experience working with uncertainty, incomplete information and imperfect datasets. • Ability to move from loosely defined problems to practical analytical solutions. • Strong problem decomposition and structured thinking skills. • Ability to communicate technical concepts clearly to non-technical stakeholders. • Strong coding skills in Python or R. • Experience developing analytical solutions in code rather than primarily through spreadsheet-based analysis. • Experience taking analytical models from prototype through to operational deployment.

🏖️ Benefits

• 25 days annual leave • Participation in a company bonus scheme linked to personal and company performance • Group Life Cover 4x salary • Pension 4%/4% employee/employer contributions • Vitality after probation • Staff discount scheme • Discounted gym membership