Open Application
2 weeks ago
Are you an econometrician with a background in the Life Sciences sector and an interest in data & AI? If so, this is the perfect opportunity for you.
What we do:
ADC is a Data & AI Consultancy committed to the responsible adoption of data and AI, driving real impact for organizations that matter. We help clients achieve their goals through data-driven solutions, with deep industry expertise.
What makes ADC unique is our impact-driven and collaborative approach. Our team is composed of top talent dedicated to leveraging their advanced data and AI expertise for the greater good. We work with our clients, not just for them, empowering pragmatic and comprehensive consultants through inclusivity, trust, and ownership. We aim to grow across Europe creating the leading data and AI consultancy. Join us on our growth journey
For this position, we are looking for candidates who are based in Denmark.
What you do:
- Have a natural curiosity in decision-making problems focusing on the econometric methods and skills.
- Deliver value to our clients by helping them develop the best solutions, through data modelling, engineering, or strategy.
- Conduct complex statistical analysis in programming languages such as R and Python or similar.
- You have quantitative and analytical skills in mathematics, statistics, and econometrics.
- Together with the ADC team, you want to shape the future of the Life Sciences sector in the field of Data & AI.
- Collaborate with a team of professionals with whom you are building a fast-growing company.
- Develop and challenge yourself during in- and external knowledge-sharing and training sessions.
- Be a brand ambassador by embracing our company values: Create Real Impact, Collective Culture, and Commercial Excellence.
What you bring:
- 2 - 5 years of working experience in the field of Analytics, Statistics, or Data Science.
- Consultancy experience.
- A quantitative MSc degree (e.g., Economics, Econometrics, Statistics, Data Science, quantitative social science, or similar).
- Proficiency in R or Python.
- Experience with large datasets (e.g., bibliometrics, patents, registry data, national statistics).
- Experience (or interest) in the Life Sciences sector is a plus.
- Excellent command of the English language (Danish is a plus).
- Ability to translate complex technical analyses into actionable insights for non-technical stakeholders.
- Strong communication and presentation skills.
- A proactive, innovative mindset to explore data and AI technologies for helping decision-makers understand complex phenomena.
- Strong ethical framework and a strong sense of responsibility, accountability, ownership, and helping others.
What we offer:
- A steep learning curve, with opportunities for significant professional growth as you take on responsibility from day one.
- Freedom to realize your initiatives and implement your ideas within a flat organizational structure.
- Projects that allow you to immerse yourself in challenges and make a positive impact.
- A training programme focusing on your self-development, designed to transform people into trusted advisors, specialists, and ADC leaders.
- A knowledge-sharing culture in the form of peer groups and project presentations.
- Our Collective Week, a workcation with the entirety of ADC during which we work on pro bono projects and make unforgettable memories.
- A welcoming office space in the centre of Copenhagen, with daily lunches provided by a nearby restaurant.
- Various social events, including Friday drinks, monthly first Friday events, sports activities, etc.
What to do next:
If you are inspired by the above, apply from the link below For questions, feel free to contact us at recruitment@adc-consulting.com
*Amsterdam Data Collective is an equal opportunity employer. To shape a better future, we value diversity and promote equality. No characteristics are discriminated against, as indicated in Directive 2000/78/EC. We encourage and welcome all applications. Additional arrangements or adjustments to support your application can be discussed further.
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