Senior Lead Data Scientist

Company Description

Inviting bright minds 

Do you want to push the boundaries of your profession and develop your excellence in an open, collaborative and empowering culture? We work to create a sustainable future and our inspiring projects and innovative solutions aim to set the standard among our peers. You will join a global company that has been growing successfully since its founding in 1945. Together, we lead and leave a positive impact on societies, companies and people around the world. 

You will join our Data Platform department 

As our new Senior Lead Data Scientist, you will be part of the Data Platform team, where we are creating the strategy and building the capabilities needed to enable the next generation of AI-infused applications. Our ambition is to make curated, trusted data and powerful AI capabilities available across the organisation securely, efficiently and at scale. 

You will collaborate closely with data engineers and product teams to develop data products that support automation, insights and prediction. Whether you're exploring new approaches, optimising existing data integrations or working on defining a full data lifecycle, you will be essential to turning our AI ambitions into real business outcomes. 

Job Description

• Understand business objectives and translate them into data and machine learning requirements 

• Identify what data is needed to support specific AI use cases and assess its availability, quality and structure 

• Explore and profile data from various sources to evaluate its suitability and uncover biases, gaps or integration challenges

• Visualising data and analytical results using tools such as Power BI, with the ability to create insightful dashboards for both technical and non-technical audiences.

• Collaborate with data owners and engineers to locate, access and prepare data for experimentation and model development 

• Work closely with product teams to define success metrics and ensure data can support reliable measurement and evaluation 

• Support the design of data flows and contribute to ingestion and preparation strategies that align with modelling needs 

• Translate insights from data exploration and model experimentation into clear actionable recommendations 

• Contribute to best practices related to data validation, model documentation and governance of analytical workflows 

• Collaborate with ML engineers and AI architects to assess modelling options and design evaluation strategies 

• Stay up to date with developments in AI and machine learning and actively share insights with the wider team 

Qualifications

Your starting point for constant growth 

From the moment you join Ramboll, we will support your personal and professional development so that you grow with the company. For this role, we believe your starting point is: 

• A master’s degree in data science, computer science, statistics, applied mathematics or a related field 

• Strong experience in applied data science or machine learning, with an emphasis on data readiness and problem framing 

• Proficiency in Python and experience with common data science libraries (e.g., pandas, scikit-learn, TensorFlow or PyTorch) 

• Demonstrated ability to explore, profile and assess complex data sets to determine their value for ML solutions 

• Experience working with business stakeholders to translate objectives into data needs and analytic plans 

• Understanding of how data flows from source systems into models, and experience partnering with data engineers to build effective pipelines 

• Excellent communication skills, with the ability to explain and visualize data-related concepts to non-technical audiences  

• Fluency in English 

Additional Information

We offer: 

• Competitive salary and benefits package. 

• Opportunities for professional growth and development. 

• Flexible work environment and work-life balance. 

• A multi-cultural work environment 

Personal qualities that will help you succeed in this role include: Ability to collect and analyse data, establish facts and make recommendations in written and verbal form. Ability to explain and translate complex, technical IT requirements into material understandable for non-IT staff. Ability to liaise with all parts of an organisation, including IT and business stakeholders. Open-minded and helpful and, finally, a good portion of self-awareness and humour.