Senior NLP Data Scientist
Budapest, Hungary
Roche
As a pioneer in healthcare, we have been committed to improving lives since the company was founded in 1896 in Basel, Switzerland. Today, Roche creates innovative medicines and diagnostic tests that help millions of patients globally.Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.
The Position
Senior NLP Data ScientistRoche Services & Solutions (RSS) - Budapest, Hungary
A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love.
That’s what makes us Roche.
The Opportunity
As a Senior Data Scientist you will be responsible for delivering high quality outcomes by applying the right fit-for purpose solutions in collaboration with other stakeholders and team members within the same business line.
RSS is a global division with regional presence in Switzerland, India, Hungary, Costa Rica and Malaysia. We operate in an agile organizational set-up without extensive hierarchical structure, where all our employees lead from every seat, inspirational leadership, service oriented behavior and entrepreneurial customer centric mindset are our core values.
As a Senior Data Scientist, you will be expected to
Integrate and apply state-of-the-art language processing models and algorithms to extract insights from large volumes of text data.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions using NLP techniques.
Mentor and guide other chapter members, providing technical support and expertise.
Present findings and insights to stakeholders through clear, concise, and compelling reports and presentations, communicate ideas for team Analytics & Automation and willingly receive feedback for self-improvement.
Create and manage documentation for different data science / data engineering projects.
Collaborate in an agile and cross-functional team with other Data Scientists, Automation experts as well as business experts, so our Roche peers and patients will receive AMAZING solutions.
Who You Are
You’re someone who wants to influence your own development. You’re looking for a company where a job title is not considered the final definition of who you are, but the starting point.
You have a Bachelor’s Degree (Masters is a plus) in mathematics, computer science, statistics, engineering, or information science.
You have at least 5 years of relevant experience, ideally in a multicultural environment with global processes (Commercial, Finance, Procurement, Supply Chain, IT)
You have 2 years of professional work experience in:
Utilizing machine learning frameworks and libraries to build, train, and deploy NLP models (LLM experience is a plus), and
Integrating your solution within AWS and/or GCP and leveraging services provided by AWS and/or GCP.
You are a strong team player with interpersonal skills and strong collaborative and solution-focused mindset.
You possess strong communication, networking skills, you are someone who enjoys working with others and acts as a team player.
You want to contribute to solving business problems, taking on what tasks are necessary to make valuable solutions come to life.
You have extensive experience with stakeholder management.
English is a must, additional languages are a plus.
In exchange we provide you with
Development opportunities: Roche is rich in learning resources. We provide constant development opportunities, free language courses & training, the possibility of international assignments, internal position changes and the chance to shape your own career.
Excellent benefits & flexibility: competitive salary and cafeteria package, annual bonus, Private Medical Services, Employee Assistance Program, All You Can Move Sportpass, coaching / mentoring opportunity, buddy program, team buildings, holiday party. We also ensure flexibility, to help you find your balance: home office is a common practice (2 office days/week on average, and we provide fully remote working conditions within Hungary). We create the opportunity for freedom in working, where your corporate and private life coexist in harmony.
A global diverse community, where we learn from each other. At Roche, we cooperate, debate, make decisions, celebrate successes and have fun as a team. Our leadership is very focused on people, creating a strong, inclusive culture, so you always have the chance to share your opinion.
Please read the Data Privacy Notice for further information about how we handle your personal data related to the recruitment process: https://go.roche.com/budapest-data-privacy-notice-candidate
Who we are
At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.
The Roche Services & Solutions as well as People Support Solutions organisations located in Budapest provide end-to-end business solutions for Finance, Procurement, IT, Communications, People & Culture (Human Resources) and beyond to our Roche colleagues across the EMEA region. Today Roche employs altogether around 2000 employees in Hungary.
Roche is an Equal Opportunity Employer.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Computer Science Engineering Finance GCP LLMs Machine Learning Mathematics NLP Privacy Research Statistics
Perks/benefits: Career development Competitive pay Equity / stock options Home office stipend Salary bonus
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.