Job Title: EU Data Scientist Location: Hybrid, LisbonCompetitive salary and benefits Join one of Europe's largest B2B used vehicle service At BCA, we’re altogether, more. More than just your average vehicle remarketing company. More than just any other place to work. We’re Europe's largest vehicle remarketing business, the backbone of the automotive supply chain. The BCA EU business is now at an exciting turning point in their ambitions for how data can enhance their customer proposition. This role is part of a significant investment in strengthen the Decision Intelligence capability in the EU business, through a continuous development and maintenance of the Data Warehouse, expanding our use of Data Science & Machine learning solutions, developing new dashboards and fostering the adoption of these tools by the business users, promoting efficiencies and generating added value. As a Data Scientist working for BCA, you’ll be responsible for the development, maintenance and improvement of our machine learning data products in the EU using our best-in-class framework. Furthermore, from starting with simple proofs of concept through to model refinement and deployment you’ll be involved in the development of new data products for the EU business.The ideal candidate will have experience of statistical learning approaches e.g regression, tree-based approaches, time-series methods, clustering, etc, and will be innovative in model development and naturally curious, willing to try new approaches. Solutions will be built using BCA’s best of breed Data Science solution (Python, SQL Server, Git, Databricks, MLflow, Azure Machine Learning, Azure Data Lake, Azure DevOps Services and Azure Kubernetes Services). Role Accountabilities: <ul><li>Ensure the on-going accuracy of BCA’s valuation models through the development of predictive models and machine learning approaches, experimenting with new ideas to further enhance our BCA Valuation product-set.</li><li>Utilise models to provide pricing intelligence to key stakeholders ensuring the direction of the market in each country is understood.</li><li>Explain the implications of models and model insights to business stakeholders and external customers in an easy-to-understand way.</li><li>Be able to identify and suggest new opportunities where the Data Science Team can add value to the BCA EU business.</li></ul> Knowledge and Experience: <ul><li>Experience of using a statistical language to build data products, preferably Python or R.</li><li>An added advantage is experience with a well-rounded stack of data science libraries, such as NumPy, Scikit-learn, Pandas, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, Statsmodels, and XGBoost, to effectively clean, preprocess, transform, model, and visualize datasets.</li><li>Experience in object-oriented programming and package building is valued.</li><li>Knowledge of a machine learning approaches to model data (supervised/unsupervised analysis). E.g. Logistic regression, general linear models, decision trees, deep learning, cluster analysis, etc.</li><li>Exposure to data pipelines for both model training, evaluation and reporting/analytical purposes.</li><li>Use of cloud infrastructure to deploy model to a production environment would be beneficial.</li><li>Experience of using SQL to extract data from source systems.</li><li>Interest in data visualization tools, such as PowerBi, for model performance monitoring is a plus.</li><li>Excellent communication skills, including the confidence to present to key stakeholders.</li><li>Excellent written & oral communication skills, with an ability to interact with all levels of end users and technical resources.</li><li>Strong attention to detail and proactive in identifying and owning issues as they arise.Able to get up to speed quickly in understanding of the business metadata</li><li>To question the status quo and suggest possible improvements in the processes (harnessing automation where possible)</li></ul> Our policy is to employ the best qualified people and provide equal opportunity for the advancement of employees including promotion and training and not to discriminate against any person because of gender, race, ethnicity, age, sexual orientation, religion, belief or disability. Thank you for your interest in working for us. Unfortunately, due to the volume of responses we cannot reply to every applicant, if you haven't heard from us in two weeks please assume you have not been successful.

A SIBS presta serviços financeiros modernos, fiáveis e seguros a mais de 300 milhões de utilizadores, em três Continentes, processando anualmente mais de 4 mil milhões de transações. Junta-te a nós nesta batalha do “bem contra o mal”, fazendo parte dos que ajudarão a proteger as transações dos cartões e comerciantes portugueses, dos 6 milhões de utilizadores do MB WAY, ATMs MULTIBANCO, home banking, ou mesmo as chamadas à API SIBS pelos developers e outras fintechs que querem disponibilizar a próxima geração de aplicações financeiras e de pagamento. Irás ajudar a identificar os esquemas dos fraudsters, descobrir as ligações escondidas e criar modelos acionáveis que irão rastrear em tempo real mais de 25 milhões de transações por dia, no espaço de apenas alguns milissegundos. Farás parte da equipa que fornece os melhores modelos de prevenção de fraude que permitem à SIBS oferecer uma experiência de pagamento de topo, ao mesmo tempo que garantimos que o dinheiro de todos está seguro. Irás ter acesso a uma grande infraestrutura de dados que aproveita o nosso data lake exclusivo e combina dados em todos os canais e serviços que monitorizamos, proporcionando uma visão completa e abrangente do sistema de pagamentos português. Com o objetivo de reforçar o Núcleo de Machine Learning e Reporting, estamos a recrutar um Fraud Data Scientist, com o seguinte Perfil:<ul><li>Mestrado ou Doutoramento em Engenharia Física, Informática, Eletrotécnica, Estatística, Matemática Aplicada ou similares:</li><li>Experiência prévia como Data Scientist, minima de 1/2 anos;</li><li>Excelentes capacidades de análise e resolução de problemas;</li><li>Capacidade de apresentar os seus resultados de forma concisa e adaptada a diferentes interlocutores;</li><li>Proficiência no ciclo completo de desenvolvimento de modelos (treino, afinação de modelos e generalização);</li><li>Proficiência em Python;</li><li>Conhecimentos de SQL e PySpark;</li><li>Conhecimentos de algoritmos baseados em modelos do tipo árvore (e.g. Random Forest, XGBoost, LGBM);</li><li>Conhecimento de tecnologias Big Data como Spark, Hadoop é valorizado;</li><li>Experiência com Databricks é valorizada;</li><li>Experiência com MLOps (monitorização de data drift) será valorizada;</li><li>Experiência em deteção de fraude será valorizada.</li></ul> Função:<ul><li>Desenvolver modelos de Machine Learning para deteção e prevenção de fraude e as suas estratégias de ação e decisão, incorporando contributos valiosos dos nossos Data Analysts:</li><li>Desenvolver e criar novas features preditivas baseadas em conhecimento de negócio e analítica avançada;</li><li>Desenhar e criar de novos produtos de IA que suportem e melhorem o nosso sistema de deteção de fraude e contribuam para um elevado nível de automatização de decisão às nossas operações;</li><li>Investigar e desenvolver algoritmos e soluções inovadoras que garantam o nosso elevado nível de capacidade de deteção de fraude;</li><li>Monitorizar a performance dos nossos modelos e estratégias de prevenção de fraude nos diversos produtos, serviços e geografias;</li><li>Trabalhar com as nossas equipas de operações e de gestão de serviço no ajuste e otimização dos modelos e estratégias de contenção de fraude;</li><li>Trabalhar com a nossa equipa de negócio em pedidos de cliente ajustando os nossos modelos de decisão para garantir o sucesso destas implementações;</li><li>Desafiar os atuais processos e estratégias de prevenção de fraude, promovendo soluções industrializáveis e de atuação automatizada;</li><li>Identificar novas fontes de dados que permitam adicionar valor ao nosso data lake;</li><li>Atuar como Data Scientist em equipas de projeto multidisciplinares e garantir que novos produtos e serviços estão alinhados com as melhores práticas e políticas de antifraude.</li></ul> Benefícios:<ul><li>Oportunidade de desenvolver projetos inovadores e de impacto direto na sociedade, numa empresa em crescimento e que aposta na inovação tecnológica há mais de 40 anos;</li><li>Acesso a um conjunto de benefícios atrativos: Subsídio de Alimentação superior aos valores médios de mercado; Pacote de Seguros; Pacote de Comunicações Móveis; Acesso a protocolos com diversos parceiros;</li><li>Perspectivas de desenvolvimento e crescimento profissional;</li><li>Excelente ambiente de trabalho.</li></ul>

Job Title: Mid-Level Data ScientistJob Summary:We are seeking a Mid-Level Data Scientist to join our team. You will primarily focus on big tabular data and play a key role in extracting, cleaning, analyzing, and building predictive models to support strategic decision-making. This position requires a collaborative mindset.Key Responsibilities:<ul><li>Analyze and interpret complex data sets by using statistical and machine learning techniques.</li><li>Lead the design and implementation of scalable data science solutions for real-world business challenges.</li><li>Develop and refine predictive models to improve business outcomes and customer experiences.</li><li>Collaborate closely with data engineers and data analysts to ensure seamless data integration and delivery.</li><li>Communicate complex data findings and insights to non-technical stakeholders through clear and compelling visualizations and reports.</li></ul>Required Qualifications:<ul><li>A minimum of 2 years of professional experience in a data scientist role.</li><li>Proficiency in Python, with expertise in libraries such as Pandas, Scikit-learn, NumPy, and TensorFlow or PyTorch.</li><li>In-depth experience with the ETL process, data cleaning, preprocessing, and the application of machine learning models.</li><li>Strong understanding of statistical analysis and ability to apply statistical tests and interpret results.</li><li>Advanced SQL skills for complex querying and database management.</li><li>Bachelor’s or Master’s degree in Computer Science or a related field (preferred).</li></ul>Preferred Qualifications<ul><li>Experience with cloud platforms such as AWS, Google Cloud Platform, or Azure.</li></ul><li> </li>

QUEM SOMOS?Uma das maiores seguradoras do mundo, temos como pilar a sustentabilidade e o cuidado com as pessoas. Possuímos um amplo portfólio de produtos e diversas unidades em que atuamos: Investimentos, Consórcios, Capitalização, Previdência e Vida Resgatável, Saúde, Seguros e Assistência.Com presença em mais de 100 países nos cinco continentes, somamos mais de 34 mil colaboradores em todo o mundo, mais de 300 em Portugal.Trabalhamos para construir o futuro e estamos comprometidos com a inovação.Estamo-nos a transformar para acompanhar os nossos clientes também no mundo digital.A Fundación MAPFRE, instituição sem fins lucrativos, é a nossa acionista maioritária, o que fortalece a nossa independência e estabilidade. Entre os nossos compromissos está a valorização e apoio à diversidade e inclusão, construindo ambientes mais acolhedores. A presença de mulheres em cargo de gestão e o equilíbrio racial e de género na constituição das equipas é a nossa prioridade. O QUE VAIS FAZER<ul><li>Como Data Scientist terás um papel crucial na transformação que estamos a viver na MAPFRE Portugal para ser uma empresa data-driven, gerindo os dados como um ativo estratégico ao longo de todo o seu ciclo de vida, desde a aquisição até à ativação. Farás parte de uma equipa multidisciplinar, e trabalharás de forma próxima com a equipa de engenharia de dados e desenvolvimento de projetos. A nossa missão enquanto equipa será entender os problemas que os nossos colegas das diversas áreas de negócio nos apresentam e oferecer soluções baseadas em dados e modelos preditivos. Também esperamos que possas propor ideias que tenham um impacto positivo no negócio.</li></ul> O QUE A MAPFRE ESPERA DE TI<ul><li>Formação Superior Técnica em Engenharia, Matemática, Física, Estatística ou outro campo similar. Será valorizada formação específica em ciência de dados e inteligência artificial;</li><li>Estatística clássica, machine learning e inteligência artificial;Nível avançado de programação. Será especialmente valorizada a experiência em Python e R;Experiência com os frameworks de ML mais conhecidos (Sklearn, TensorFlow, PyTorch).Conhecimentos de SAS Guide ou Miner (preferencial);</li><li>Conhecimento de ambientes Cloud, principalmente em ambientes de GCP, Azure ou AWS. Certificações associadas serão valorizadas;Será levado em consideração o conhecimento de ferramentas específicas de visualização e exploração de dados (PowerBI);Será valorizada experiência específica na indústria de seguros;</li><li>Capacidade de comunicação de conceitos complexos de forma simples a clientes internos e externos;</li><li>Conhecimento de metodologias Agile;</li><li>Trabalho colaborativo e espírito curioso.</li></ul> PRINCIPAIS ATIVIDADES<ul><li>Desenvolvimento de modelos e soluções analíticas ao longo de todo o seu ciclo de vida, desde o entendimento da oportunidade/problema de negócio e o design da solução até à industrialização, implementação e avaliação dos resultados;Trabalhar de forma colaborativa com os todos os departamentos e áreas da empresa envolvidas nos nossos projetos, especialmente as áreas de negócios responsáveis pelos processos a serem otimizados;</li><li>Impulsionar e apoiar a análise de dados por parte dos utilizadores, com modelos analíticos baseados em auto atendimento;</li><li>Assegurar que os requisitos analíticos e técnicos do desenvolvimento estão alinhados com os objetivos de negócio;</li><li>Garantir o impacto dos casos de uso realizados na conta de resultados e nos objetivos estratégicos da empresa (conversão, retenção, sinistralidade, etc.);</li><li>Exploração e modelação das diversas fontes de dados da empresa e fontes de dados externas para apoiar o desenvolvimento de projetos baseados em dados;</li><li>Manter-se atualizado sobre as tendências e melhores práticas do mercado.</li></ul> CUIDAMOS DOS NOSSOSA MAPFRE é feita de pessoas, por isso retribuímos da melhor maneira possível o comprometimento dos nossos colaboradores, que contam com:<ul><li>Colaborador direto MAPFRE</li><li>Remuneração fixa mais prémio anual</li><li>Carga de trabalho: 35h/semanais</li><li>25 dias de férias anuais</li><li>Horário flexível</li><li>Cartão refeição;</li><li>Seguro de Vida</li><li>Seguro de Saúde;</li><li>Incentivo à Previdência Privada, pensando na tranquilidade do seu futuro;</li><li>Cursos e formações presenciais e E-learning na nossa plataforma digital, Universidade Corporativa MAPFRE. Lembrando que a MAPFRE é uma empresa global, o crescimento vai além das barreiras territoriais! ! A MAPFRE Portugal tem muito a oferecer em termos de formação transversal dentro do trabalho de um atuário. Estamos inseridos num Grupo onde a excelência técnica é estratégica, faz da nossa área um centro de alto rendimento e de formação integral como poucos deve haver em Portugal.</li><li>Possibilidade de integrar o nosso programa de voluntariado</li></ul>

PrimeIT is a leading company with over 17 years of experience in providing IT, Telecommunications, and Engineering technological services. Specialized in Team Extension, Managed Services, Custom Software, and Nearshore, we currently have a team of over 2350 professionals collaborating on national and international projects across various technologies. We are looking for a Data Scientist for this project! What are we looking for?<ul><li>Strong knowledge of programming, algorithms and data structures and industrial experience in languages such as Python and SQL variations(Hive, Impala, PostgreSQL). </li><li>Knowledge of Data Science techniques with evidence of using them on data across supervised & unsupervised learning business problems. Technical understanding of most commonly used algorithms - Linear Regressions, Random Forests, SVMs, KNN, K-means, etc. </li><li>Experience of working on models that are productionalised and created tracable business impact is a huge plus. </li><li>Strong proficiency in the following libraries: numpy, spicy, pandas, scikit learn, matplotlib, seatborn. Profficiency in PySpark, data engineering, Kedro framework is a huge plus. </li></ul> What do we offer?<ul><li>Integration into an international company with a presence in over 50 cities worldwide;</li><li>Continuous training in the latest and most innovative technologies – Prime Academy;</li><li>Career guidance and progression.</li></ul> ???? Send us your CV and join the Prime team!

Data Scientist - Python - Lisbon Summary: We are seeking a highly skilled Data Scientist to lead and supervise a team of data scientists, fostering collaboration and implementing standard processes across projects. You will be responsible for developing and overseeing advanced machine learning models and statistical algorithms, ensuring their deployment and integration with existing systems. Collaboration with the Data Engineering team is essential for seamless deployment of machine learning algorithms to enhance overall functionality. Skills: <ul><li>Academic background in Computer Science, Data Science, Machine Learning Engineering, Statistics, or equivalent fields</li><li>Business proficiency in English (B2 Level Minimum Required)</li><li>Experience with the end-to-end Data Science cycle: from data collection to model deployment and monitoring</li><li>Proven experience with Deep Learning and NLP models</li><li>Strong data exploratory skills</li><li>Strong knowledge of ML/Optimization techniques (Classification, Regression, Clustering, Outlier identification) and statistical methodologies (Distributions, Hypothesis testing, Bayesian framework)</li><li>Proficient programming experience in Python, Spark, and SQL</li><li>Experience working within Agile Frameworks (SCRUM/KANBAN)</li><li>Effective communication and team-building skills</li><li>Ability to identify and harness opportunities for applying data science</li></ul> Software/Tools: <ul><li>Python</li><li>Spark</li><li>SQL</li><li>Machine Learning libraries such as TensorFlow or PyTorch</li></ul> Certifications & Standards: <ul><li>Agile certification (SCRUM/KANBAN) advantageous</li><li>Relevant certifications in Data Science or Machine Learning</li></ul>

Decskill, founded in 2014 as an IT Consulting Company, places paramount importance on its greatest asset: its people. Our main mission is to deliver value through knowledge and talent, and we achieve this by fostering a culture of excellence and investing in the development and well-being of our people. With over 600 dedicated professionals and offices in Lisbon, Porto, Madrid, and Luxembourg, Decskill operates across three core areas: <ul><li>DECSKILL TALENT: We believe that our people are key to our success. Through Decskill Talent, we empower our team to embrace the digital transformation challenges of our clients. We collaborate with clients to drive innovation, ensuring project success and business growth</li><li>DECSKILL BOOST: Equipping our team with the latest tools and methodologies, we optimize Time-to-Market and deliver innovative solutions exceeding client expectations.</li><li>DECSKILL CONNECT: Our team collaborates closely with clients to implement and manage IT infrastructures that generate long-term value.</li></ul> At Decskill, we believe that by nurturing and empowering our people to confront the challenges of digital transformation, we create value not only for our clients but also for our entire ecosystem, fostering a digital community dedicated to growth and progress. We are looking for a Data Scientist to join us in Lisbon. Must Have:<ul><li>Higher education in a STEM related field, with major statistics or mathematics components</li><li>Five to ten years of experience in Data Science / ML projects</li><li>Professional experience in end-to-end data science / machine learning initiatives, encompassing data understanding, preparation, modelling and evaluation, and deployment. This is mandatory.</li><li>Level - Solid command of data science concepts and principles - especially around EDA, modelling and evaluation - is mandatory.</li><li>Excellent fluency in English, written and spoken, is mandatory. All business discussions will be conducted in English.</li><li>Professional experience with Python and industry standard Python data science / ML frameworks (e.g. Professional experience in data preparation/transformation (e.g. SQL, pandas) is mandatory.</li><li>Professional experience working with a cloud environment is mandatory, AWS highly preferred.</li><li>Experience with LLM, RAG, and Generative AI technologies is highly preferred.</li><li>Professional experience with Databricks is highly valued</li></ul> If you’re interested in this job please send your CV to joana.ramos@decskill.com Decskill is committed to equality and non-discrimination with all our talents. We recruit and promote talent, based on diversity and inclusion, regardless of age, gender, ethnicity, race, nationality or any other form of discrimination incompatible with the dignity of the human being.

Decskill, founded in 2014 as an IT Consulting Company, places paramount importance on its greatest asset: its people. Our main mission is to deliver value through knowledge and talent, and we achieve this by fostering a culture of excellence and investing in the development and well-being of our people. With over 600 dedicated professionals and offices in Lisbon, Porto, Madrid, and Luxembourg, Decskill operates across three core areas: <ul><li>DECSKILL TALENT: We believe that our people are key to our success. Through Decskill Talent, we empower our team to embrace the digital transformation challenges of our clients. We collaborate with clients to drive innovation, ensuring project success and business growth</li><li>DECSKILL BOOST: Equipping our team with the latest tools and methodologies, we optimize Time-to-Market and deliver innovative solutions exceeding client expectations.</li><li>DECSKILL CONNECT: Our team collaborates closely with clients to implement and manage IT infrastructures that generate long-term value.</li></ul> At Decskill, we believe that by nurturing and empowering our people to confront the challenges of digital transformation, we create value not only for our clients but also for our entire ecosystem, fostering a digital community dedicated to growth and progress. We are looking for a Data Scientist to join us Lisbon. Requirements:<ul><li>Build models and machine learning solutions</li><li>3/4 years of experience in Data Science</li><li>Experience with Python, SQL, PySpark and TensorFlow</li><li>Visualize data with Seaborn, Matplotlib or Plotly</li><li>Work with large datasets and cloud platforms</li><li>Build Data-driven solutions</li></ul> If you’re interested in this job please send your CV in English to goncalo.delgado@decskill.com with reference “GD / DS”. Decskill is committed to equality and non-discrimination with all our talents. We recruit and promote talent, based on diversity and inclusion, regardless of age, gender, ethnicity, race, nationality or any other form of discrimination incompatible with the dignity of the human being.

About the Company - <a>Sysmatch</a> is an IT Consultancy and Outsourcing Company with a wide range of technological skills, resulting from the accumulation of know-how and the experience of our consultants, allowing the implementation of solutions adapted to the needs of our clients, privileging their robustness and scalability. More than two decades in the IT market, we present ourselves as a flexible, adaptable, innovative and forward-looking Company. About the Role: Data Scientist Required Skills<ul><li>MSc or PhD in Computer Science, Engineering, Mathematics, or a related field (MSc/PhD in Data Science is a plus)</li><li>Between 2 and 4 years of professional experience as a Data Scientist or a similar role</li><li>Proven knowledge and experience in Machine Learning, NLP, and text dataset curation</li><li>Hands-on experience in coding for real-world data analytics applications</li><li>Experience in NLP tasks, such as Text Classification, NER, and Information Retrieval</li><li>Experience working with LLMs, OpenAI API (or equivalent), and RAG</li><li>Proficiency in Python and ML/DL packages (PyTorch, NumPy, Scikit-Learn, Pandas)</li><li>Solid mathematical foundations and experience in statistical consultancy</li><li>Strong business sense with the ability to quickly understand use cases</li><li>Familiarity with data engineering, modeling, and business analysis</li><li>Fluency in English and Portuguese</li></ul> What we offer:<ul><li>A dynamic project in a well-regarded client at an international level;</li><li>Salary classification according to the experience shown;</li><li>Career development with intervention in ambitious and innovative technological projects;</li><li>Good working environment with young and dynamic teams;</li><li>Personalized follow-up to each consultant;</li><li>Integration into Sysmatch staff with access to all company activities;</li><li>You will be part of our trainings and Team Building events;</li><li>A network of hundreds of partnerships with companies in countless sectors that offer you exclusive discounts (health, wellness, travel, gastronomy, culture, leisure, training, etc).</li></ul> Recruitment, selection and integration process:The first contacts will be made by phone call or video call.We are prepared to ensure the monitoring and integration of new employees and support them in this new phase of their professional career.

Your new Company Join a leading company in the Telco/Mídia industry, renowned for its efficiency and innovation. Your new role As a Data Scientist, you’ll handle data science projects focused in predictive modeling, machine-learning, clustering and classification techniques, and algorithms. What You Will Need to Succeed <ul><li>Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)</li><li>At least 1 - 2 years' of experience in quantitative analytics or data modeling</li><li>Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms</li><li>Fluency in a programming language (Python, C,C++, Java, SQL)</li><li>Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, PowerBI)</li></ul> What the Company Can Offer You Opportunity to participate in high-impact projects: You’ll have the chance to contribute to significant initiatives.Excellent work environment: Join a dynamic team with a great working spirit.Continuous training opportunities: Enhance your skills with certifications in various technologies.Career growth and development: Explore opportunities for professional evolution. Next Step I am an IT recruitment focused on permanent roles in Lisboa. I help professionals develop their careers and ensure that organizations are supported by the best talent. In today's market, there are no limits to technological talent and no limits to the pace of change for companies. We have built a leading human network in this digital age. Our mission is to meet your aspirations in the sense of working together and successfully combining the best professionals with companies. The relationships we establish with professionals and our many years of market experience allow us to share global and current insights. So, if you are looking for a new challenge or if you are recruiting for your team, talk to us

With just over 7 years of experience in the Portuguese market, we share our DNA with more than 200 workers and position our offer according to 3 lines of service:<ul><li>Strategy (Outsourcing, NeXel, Team as a Service, Tech Academies);</li><li>R&D (Bootcamps, POC, Tech Lab);</li><li>Nearshore.</li></ul> In ADENTIS, we focus on PEOPLE. This is our emotional salary:<ul><li>Great Work-Life balance;</li><li>Very flexible organizational routine;</li><li>Health benefits (for you and your family);</li><li>Team Building activities;</li><li>Over 300 protocols to offer you great discounts in different areas;</li><li>Continuous professional development sponsored by our Training and Certification Department;</li><li>Regular feedback on your performance through a personalized plan;</li><li>Comprehensive career plan and progression involving assertive performance reviews.</li></ul> Responsibilities:<ul><li>Develop and implement sophisticated machine learning models and algorithms to extract valuable insights from large, diverse data sets</li><li>Collaborate with business leaders to understand their data and analytics needs, and translate them into effective data science solutions </li><li>Mentor and guide junior data scientists, providing technical guidance and career development support </li><li>Stay up-to-date with the latest trends and advancements in data science, machine learning, and artificial intelligence, and recommend innovative approaches to enhance the company's analytical capabilities</li><li>Communicate complex technical concepts to non-technical stakeholders, presenting findings and recommendations in a clear, compelling manner</li><li>Ensure data integrity, model accuracy, and overall quality of data science deliverables</li><li>Contribute to the development and enhancement of the company's data science infrastructure and tools</li></ul> You must have:<ul><li>Data Visualization tools - Qlik Sense / Qlik View / PowerBI / Tableau</li><li>Strong understanding of design principles and ability to translate requirements into technical specifications</li><li>Minimum 5 years of of hands-on experience as a data scientist or in a similar role, preferably in a multinational, fast-paced environment</li><li>Experience leading and mentoring data science teams</li><li>Programming languages such as Python, R, or Scala, and experience working with big data technologies (e.g., Hadoop, Spark, Kafka)</li><li>Strong self management and problem-solving skills</li><li>Knowledge of data management (ETL) and Snowflake is preferred</li><li>Practical experience with agile methodologies</li><li>Excellent communication and teamwork skills</li><li>Fluency in English is mandatory</li><li>European Union Citizenship or Portuguese Working Visa / Portuguese Residency.</li><li>Availability to go to the office, once a week.</li></ul> If you want to be part of a real People First organization, join us! Send your CV to andre.lago@adentis.pt

Data Scientist Jobs in Lisbon, Lisbon

Eu Data Scientist
April 18, 2025

Fraud Data Scientist
April 11, 2025

Data Scientist
April 11, 2025

Data Scientist Mapfre
April 11, 2025

Data Scientist
April 6, 2025

Senior Data Scientist
April 4, 2025

Data Scientist
March 27, 2025

Data Scientist
March 26, 2025

Data Scientist
March 26, 2025

Junior Data Scientist Mfd
March 25, 2025

Senior Data Scientist
March 24, 2025

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Data Scientist Jobs in Lisbon, Lisbon

Eu Data ScientistApril 18, 2025

Fraud Data ScientistApril 11, 2025

Data ScientistApril 11, 2025

Data Scientist MapfreApril 11, 2025

Data ScientistApril 6, 2025

Senior Data ScientistApril 4, 2025

Data ScientistMarch 27, 2025

Data ScientistMarch 26, 2025

Data ScientistMarch 26, 2025

Junior Data Scientist MfdMarch 25, 2025

Senior Data ScientistMarch 24, 2025

Quick filters

Top companies

Eu Data Scientist
April 18, 2025

Fraud Data Scientist
April 11, 2025

Data Scientist
April 11, 2025

Data Scientist Mapfre
April 11, 2025

Data Scientist
April 6, 2025

Senior Data Scientist
April 4, 2025

Data Scientist
March 27, 2025

Data Scientist
March 26, 2025

Data Scientist
March 26, 2025

Junior Data Scientist Mfd
March 25, 2025

Senior Data Scientist
March 24, 2025