DATA SCIENTIST / AI EXPERT (F/M/D)
DATA SCIENTIST / AI EXPERT (F/M/D)
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Job Description
We invite an experienced Data Scientist / AI Expert (Smart Energy Solutions) to join our team. You will be responsible for the development implementation support and maintenance of the IT ecosystem for providing new services to Latvian energy consumers. This is an exciting opportunity to build and shape future energy solutions from the ground up using the latest technologies. If that speaks to you wed be happy to welcome you to our team!
Take YOUR part in #EnergySmart!
You will contribute to green and secure energy ecosystem creation by:
- Proposing and implementing artificial intelligence ideas that will transform tomorrows digital customer and employee experiences
- Develop and implement data-driven models and analyses to support decision-making in business processes
- Identify and develop new AI-enabled services for customers (e.g. personalized tariff plans optimal consumption recommendations accurate consumption forecasting customer support tools)
- Working with large datasets including both structured and unstructured data
- Monitoring market trends analyzing artificial intelligence application opportunities and implementing pilot projects for proposed ideas
- Ensure the deployment and maintenance of models and solutions in a production environment (service deployment and maintenance model training and evaluation)
- Collaborate closely with IT development product and business teams to ensure solutions meet business objectives
Qualifications :
- At least one year of experience in developing and applying artificial intelligence solutions in business environments
- Strong programming skills (e.g. Python) for model development data analysis machine learning and working with GenAI libraries
- An understanding of the value created by rapid prototyping MVPs or pilot projects with direct involvement in their implementation
- Proficiency in Latvian and English (oral and written) as this role involves regular communication with international colleagues and partners
Would be an advantage:
- Experience or interest in working with cloud platforms (AWS Azure GCP)
- Understanding of MLOps (Machine Learning Operations) principles and tools (e.g. Docker Kubernetes CI/CD pipelines)
Additional Information :
- Take part in an unfolding energy transformation process to create a 100% green and secure energy ecosystem for both current and future generations
- Compensation corresponding to experience and competencies and financial incentives dependent on achieved results
- A hybrid work model (32) and flexible working hours
- Additional paid days for health improvement short-term illness volunteering and accumulated work experience
- Internal career opportunities
- Extensive learning and qualification enhancement programs
- Diverse and inclusive environment
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
