Do you have a passion for solving customer challenges and seizing opportunities for improvement using statistical models, machine learning, and LLMs? Do you also understand how AI can create value within business environments? If so, we are looking for you. You combine in-depth knowledge of AI and machine learning with a focus on operational excellence and stay up to date with the latest developments. You guide clients and consultants through projects while simultaneously helping to shape our AI & Machine Learning competency, propositions, and marketing and sales activities.
How do you help organizations derive more value from data?
This is a multifaceted role. You support clients in optimizing processes and contribute to the further development of Bright Cape’s Data Science and Consultancy competency.
This position is a great fit for you if:
- You are interested in optimizing complex processes using data, AI, and machine learning solutions.
- You can translate strategic objectives into valuable AI and machine learning solutions, from pre-sales to implementation.
- You want to develop user-friendly data solutions for various departments within finance, production, and logistics.
- You are enthusiastic about further shaping the Data Science competency at Bright Cape.
- You want to coach consultants, improve working methods, and further develop technical expertise in statistics, machine learning, and language models.
What we expect from you
- You are regarded by clients and colleagues as an authority in the field of AI and machine learning.
- You are responsible for the vision and development of the AI & Machine Learning competency.
- You contribute to the competency's commercial results by supporting marketing and sales activities. You ensure that expertise in AI & Machine Learning remains up-to-date and make informed decisions regarding which developments are relevant to Bright Cape and its clients.
- You identify opportunities for innovation and support the selection and structuring of innovation initiatives.
- Together with the team lead, you are responsible for the professional development of colleagues and the training curriculum.
- Together with the team lead, you are responsible for the quality of client projects and client satisfaction.
- You guide and support projects for key clients.
- You maintain relationships at the senior management level and serve as a valued sparring partner.
- You participate in seminars and conferences, either as a speaker or an attendee.
- You develop standards, methodologies, and governance processes, including taking ownership of the entire model lifecycle—from development to monitoring and ongoing evolution.
- You inspire colleagues, help build a strong Data Science community, and play an active role in attracting, developing, and retaining talent.
Do you see yourself in at least 80% of the points above? Then read on.
What we offer
- Coaching and training for continuous development and maximum impact.
- A training budget for external courses and programs, in addition to the Bright Academy.
- An entrepreneurial environment where you contribute to sustainable solutions and innovative products.
- The Bright Cape Foundation, through which we support social and sustainability initiatives with knowledge and donations.
- A mobility scheme covering public transport, shared cars, shared bikes, and parking.
- A competitive salary and a performance bonus.
- Flexible working hours, in consultation with the client.
- 25 days of annual leave.
- A phone allowance and, of course, a company laptop. A sustainability committee dedicated to making responsible choices.
- A culture committee that organizes team outings, social activities, and the annual ski trip, among other things.
You have
- Proven experience with the full machine learning lifecycle and MLOps practices such as experiment tracking, model registration, CI/CD, version control, and automated pipelines.
- Experience developing, validating, deploying, and monitoring machine learning and language models in production environments. Experience integrating existing AI solutions is a plus.
- A degree in Data Science, (Applied) Mathematics, Physics, Industrial Engineering & Management, Econometrics, Computer Science, or a related field.
- Approximately 6 years of experience in process improvement using AI and Machine Learning.
- Experience developing AI strategies and AI roadmaps for clients.
- Experience with commercial processes, sales support, and consultancy is a plus.
You can
- Design, develop, validate, and deploy machine learning and language models, from concept to production.
- Translate business needs into technical specifications and agile implementation plans.
- Write clean, maintainable, and testable code in Python, SQL, and/or PySpark.
- Implement and manage solutions using Azure services, Databricks, APIs, and Docker. Experience with Microsoft Fabric and Power Pla
