Senior Lead Data Scientist
Senior Lead Data Scientist
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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 masters 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.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
