Senior Finance Data Scientist

Bial; Porto; On-site; EUR 65,000 - 95,000; Full time

Job summary

A BIAL, em Porto, procura um Senior Finance Data Scientist para integrar a equipa de Operações Financeiras. Vai desenvolver soluções baseadas em dados, automatizar processos e fornecer insights que apoiem desempenho, governação e crescimento, dentro de um ambiente internacional.

Será responsável por analytics avançados, modelos preditivos, dashboards e padrões de reporting, com incidência em contabilidade, controlo, tesouraria e planeamento.

Qualifications

• Mestrado em Data Science, Computer Science, Engineering, Economics, Finance ou área relacionada.
• 5–8 anos de experiência em Data Science, Analytics ou BI.
• Experiência com dados financeiros e processos financeiros.
• Conhecimento de Power BI e automação (Power Automate, RPA).
• Fortes capacidades analíticas e de comunicação com stakeholders.

Responsibilities

• Desenvolver modelos preditivos e soluções analíticas para FP&A, risco e desempenho.
• Projetar, desenvolver e manter dashboards e estruturas de reporting.
• Acelerar a automatização de processos financeiros para melhorar eficiência.
• Colaborar com finanças, TI e áreas de negócio para otimizar soluções de dados e ERP.

Skills

Inglês fluente

Education

Mestrado em Data Science/ciência de dados ou similar

Tools

Power BI

Power Automate

Sistemas ERP

Job description

Senior Finance Data Scientist

Empresa: Bial
Tipo de Emprego: Periodo Integral
Porto, Portugal

Descrição do Emprego - Senior Finance Data Scientist

Join Our Mission to Improve Lives Worldwide

At Bial, our purpose is clear: to be partners in life, improving people’s lives through innovation and science.

Integrated into Bial’s Finance Operations Department, you will drive finance transformation by developing data-driven solutions, automating processes, and delivering insights that support performance, governance, and growth .

The Impact You’ll Make

• Develop and implement advanced analytics, predictive models, and AI-driven solutions to support financial planning, forecasting, risk management, and business performance
• Analyse complex financial and operational data to identify trends, risks, opportunities, and actionable insights for decision-making
• Design, develop, and maintain dashboards, KPI frameworks, reporting models, and data visualisation tools to enhance business visibility and performance monitoring
• Generate data-driven insights to support key Finance processes, including accounting, controlling, treasury, tax, budgeting, and forecasting
• Drive the automation and optimisation of finance processes through digital technologies, improving efficiency, scalability, and operational effectiveness
• Collaborate with Finance, IT, and business stakeholders to design, implement, and continuously improve data solutions, ERP capabilities, and finance-related systems
• Support finance transformation and process standardisation initiatives across functions and geographical locations
• Leverage strong knowledge of finance processes to identify improvement opportunities, support business requirements, and ensure alignment between analytical solutions and operational needs
• Ensure data quality, integrity, governance, and compliance by developing robust, scalable, and business-oriented data models and reporting structures
• Ensure effective risk and control oversight by leveraging automation, analytics, and finance compliance-focused processes

What You’ll Bring

• Master's degree in Data Science, Computer Science, Engineering, Economics, Finance or a related field
• 5-8 years of experience in Data Science, Advanced Analytics, Business Intelligence, or Digital Transformation roles
• Experience working with financial data, finance processes, or finance-related business environments is highly valued
• Proven business acumen with a track record of Finance Global Process Ownership (GPO), including end-to-end finance processes definition, global standardization, and continuous improvement across complex enterprise environments
• Experience delivering automation and analytics projects within corporate environments
• Experience with Power BI or similar data visualisation tools
• Experience with process automation solutions (Power Automate, RPA tools, or similar)
• Knowledge of ERP systems
• Advanced data modelling and statistical analysis capabilities
• Strong analytical and problem-solving mindset
• Excellent stakeholder management and communication skills
• Fluent in English

CreateYourPath

Iworktogetherwithpeoplefromvariousbackgrounds,withdifferentexpertiseandbeautifullycomplexpersonalities–andIlovethat!

CarmenDeneckeMuhr(GlobalMedicalAffairsManager–Parkinson’s,Germany)

JOIN US!

To know more about BIAL, visit us on www.bial.com . Follow us on LinkedIn and Facebook