Data Scientist

Who we are

Neotalent Conclusion is one of the leading Iberian specialists providing services in Information Technology and Engineering services. As part of the Netherlands-based organization Conclusion, which has an ecosystem of over 25 companies and 3,600 employees, we are focused on increasing the technological capacity of our clients and the digital transformation of their application ecosystems.

We are talent specialists, attracting the best people and combining them with the needs of the most ambitious projects, at the right time. Our success comes from our investments in innovation, our focus on results, and, above all, the guarantee that our people will have happy and rewarding careers.

With over 25 years of solid experience, Neotalent Conclusion has established its presence in key locations, including Lisbon, Porto, and Madrid. The company currently has more than 950 professionals in the different areas in which it operates.

Neotalent, the responsive people.

Find out more about us at https://www.neotalentconclusion.com.

Role Overview

We are looking for a Data Scientist to join our teams in a highly innovative analytics project focused on energy consumption intelligence and efficiency solutions. You will be part of a team responsible for developing and operating end-to-end analytical products that directly impact the customer experience, combining Data Engineering, Data Science, and Cloud technologies.

In this role, you will work with large-scale energy consumption data, designing and maintaining data pipelines, developing machine learning models, and contributing to the evolution of cloud-based analytical platforms in an AWS environment.

What you will do

• Develop, maintain, and operate end-to-end data pipelines in AWS, ensuring reliability, scalability, and performance;
• Process and analyze energy consumption data from multiple sources, including electricity, gas, and solar energy;
• Design, implement, deploy, and monitor analytical and machine learning models for energy consumption characterization and disaggregation;
• Build cloud-native solutions using AWS services, infrastructure as code, and modern data architectures;
• Collaborate with multidisciplinary Agile teams to deliver high-quality analytical products and continuously improve platform capabilities.

What you are like

• Experience in developing machine learning solutions using Python, or R;
• Experience in deploying, managing, and monitoring models in production environments throughout their lifecycle;
• Knowledgeable in relational and NoSQL databases, data modelling, and large-scale data processing;
• Experience with AWS services such as Lambda, Step Functions, Batch/Fargate, S3, Athena, Glue, DynamoDB, and RDS is valuable;
• Comfortable working with cloud architectures, infrastructure as code, and modern software engineering practices.

Why join us

• Work on challenging projects for big clients;
• Learn more about emerging technologies;
• Possibility of working remotely;
• Design your career plan;
• Access to continuous training and certifications;
• Evolve through our internal mobility program;
• Be part of innovative data and AI initiatives with real impact on end users;
• … and much more!

What we offer

• Total compensation package, between €38.000 and €48.000, depending on your experience and demonstrated skills.
• The compensation package includes gross salary, meal card allowance, and flexible benefits plafond for you to choose the perks that best suit your lifestyle.
• Health Insurance (including online medical support).
• Access to our recognition program, which rewards each ones’ commitment in building a stronger future.
• Flexible work policy, aligned with the client's working model.
• Continuous learning and certification opportunities through LinkedIn Learning and other leading learning partners.