Senior Data Scientist BI

October 6, 2026

Hybrid

Senior

Almere

Indeed

Worth knowing

English is required

Description

Senior Data Scientist BI who helps the organisation extract maximum value from data as part of the Business Intelligence team. You translate complex questions into concrete insights, dashboards, predictive models and AI applications that support better processes, decision-making and demonstrable business value. The role combines hands-on data warehouse and ETL work with stakeholder engagement, roadmap ownership and coaching colleagues during a data- and AI-driven transformation.

Responsibilities

Develop, implement and manage data warehouses, data models and ETL processes for data access, integration and analysis, with controlled change release management
Analyse information needs and business questions and translate them into fitting BI and data science solutions for management information
Deliver organisation-wide management information, analyses, predictive models and AI solutions supporting tactical and strategic decision making
Identify opportunities to extract more value from available data, including AI and advanced analytics applications
Improve and safeguard the quality, integrity, reliability and adoption of data and BI solutions
Help shape the roadmap, architecture and lifecycle of the Data & BI product and contribute to a future-proof data and BI landscape
Coach colleagues, perform peer reviews and actively contribute to knowledge sharing within the team
Actively contribute to developing the BI team into a high-performing team with a strong data, innovation and improvement culture

Requirements

A completed WO degree in a quantitative field such as Data Science, Artificial Intelligence, Econometrics, Mathematics, Computer Science or Business Analytics
At least 5 years of experience in Data Science, Business Intelligence, Analytics or a comparable field
Experience developing data models, dashboards, management information and advanced analyses
Experience with AI, machine learning and/or predictive models
Knowledge of data architecture, data management and lifecycle management
Ability to translate complex issues into understandable insights and concrete recommendations
Experience collaborating with business stakeholders, product teams and technical teams in a complex and dynamic organisation
A proactive attitude that spots opportunities and takes initiative to create more value from data
Experience with coaching, knowledge sharing and developing colleagues
Strong communication skills and the ability to engage stakeholders at different levels in data-driven decision making

Conditions

Hybrid working, 32–40 hours per week in Almere
Dynamic working environment with short lines of communication and an informal culture
Travel allowance (€0.25 per km) or an NS Business Card with full public transport reimbursement
Home working allowance
Attractive pension scheme with a low employee contribution
At least 26 holiday days based on a 40-hour week, with flexible use of public holidays
Secondary benefits such as gym discounts via Bedrijfsfitness NL, a bike lease plan and care leave
Opportunity to do voluntary work for a good cause during working hours
Inspiring working environment with a daily catered lunch

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