Data Scientist

Neotalent Conclusion; Lisboa; Híbrido; EUR 45 000 - 60 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Possibility of working remotely

Access to continuous training and certifications

Internal mobility program

Resumo da oferta

A leading technology consultancy in Lisbon is seeking an experienced Data Scientist to contribute to innovative projects within the energy sector. The ideal candidate will develop machine learning models, conduct statistical analyses, and work collaboratively with various teams. With over 4 years of experience required, proficiency in programming languages such as Python and R is essential. The role offers potential for remote work and access to ongoing training, promoting personal and professional growth.

Qualificações

• At least 4 years of experience as a Data Scientist.
• Proven experience in developing and deploying machine learning models.
• Professional English proficiency (written and spoken).

Responsabilidades

• Develop custom data models and algorithms using advanced machine learning tools.
• Utilize programming languages like R and Python for analysis.
• Collaborate with cross-functional teams for data workflows.

Conhecimentos

Machine learning

Statistical analysis

Python

R

Java

Problem-solving

Data extraction

Data transformation

Formação académica

Degree in Computer Science, Statistics, Mathematics, or related field

Ferramentas

Python

R

Descrição da oferta de emprego

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 www.neotalent.pt.

What you will do:

Neotalent is looking for a Data Scientist to join a leading energy company in Portugal where innovation, sustainability, and excellence are the pillars of their success. If you are looking for an opportunity to actively contribute to the country's energy future, grow with a team of passionate specialists, and make a difference, we have the ideal project for your career.

As we continue to spearhead digital transformation initiatives, we take pride in introducing cutting-edge AI products that are revolutionizing procurement processes.

• Develop custom data models and algorithms using advanced machine learning tools and statistical techniques.
• Utilize programming languages like R and Python to conduct comprehensive analysis and modeling.
• Apply expertise in statistical analysis and predictive modeling to extract actionable insights from data.
• Identify hidden patterns and insights within data to facilitate informed decision-making.
• Collaborate with cross-functional teams to design and implement workflows for data extraction, transformation, and loading from diverse sources.
• Ensure the integrity and security of data throughout the entire process.

What you are like:

• Degree in Computer Science, Statistics, Mathematics, or related field;
• At least 4 years of experience as a Data Scientist;
• Proven experience in developing and deploying machine learning models in real world settings;
• Proficiency in programming languages such as Python, R, or Java, coupled with hands‑on expertise;
• Exceptional problem‑solving abilities, enabling effective translation of business requirements into technical solutions.
• Professional english proficiency (written and spoken);
• 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;