Sajnáljuk, de a hirdető cég már megszüntette az állásajánlat közzétételét a honlapunkon.
Megértését köszönjük.
Mutasd a hasonló álláshirdetéseket
Megértését köszönjük.
Mutasd a hasonló álláshirdetéseket
Data Scientist
Place of work
Mlynské nivy 12, Bratislava
Mlynské nivy 12, Bratislava
Contract type
full-time
full-time
Wage (gross)
From 1 700 EUR/monthWhile the minimum salary for this role is 1700 EUR/m, we usually offer starting salaries above 2000 EUR/m for successful candidates.*
From 1 700 EUR/monthWhile the minimum salary for this role is 1700 EUR/m, we usually offer starting salaries above 2000 EUR/m for successful candidates.*
Information about the position
Job description, responsibilities and duties
Our advanced analytics team of Swiss Re is looking for an enthusiastic data scientist who is ready for an exciting career. We do data science beyond dashboards! Our focus is on machine learning & statistical modelling, but we also enjoy data engineering and bringing our models into production. We are a highly skilled team in Bratislava that solves analytics projects around the globe. Whether you are a fresh graduate or more experienced professional, we look forward to getting to know you.
If you join us, you will be able to participate in a variety of interesting initiatives.
For example, you will:
• help us improve the life of farmers in Brazil with image recognition based on satellite data,
• build models to predict life expectancy or predict the CO2 footprint of companies,
• support many other exciting projects in a collaborative environment with colleagues from Swiss Re's international offices.
We are a diverse team and our passion to learn is what connects us. We are looking for a person who loves to learn and we will support you in this journey! We reserve time for studying and attending conferences, and we organize our own upskilling sessions as well. In addition to projects for our clients, we also work on innovation projects which allow us to learn new methodologies and gain fresh experience.
If you join us, you will be able to participate in a variety of interesting initiatives.
For example, you will:
• help us improve the life of farmers in Brazil with image recognition based on satellite data,
• build models to predict life expectancy or predict the CO2 footprint of companies,
• support many other exciting projects in a collaborative environment with colleagues from Swiss Re's international offices.
We are a diverse team and our passion to learn is what connects us. We are looking for a person who loves to learn and we will support you in this journey! We reserve time for studying and attending conferences, and we organize our own upskilling sessions as well. In addition to projects for our clients, we also work on innovation projects which allow us to learn new methodologies and gain fresh experience.
Information about the selection process
*We are required by law to disclose basic wage component (minimum salary) for the advertised positions. We carefully consider your professional competencies, qualifications and experience in our compensation package and/or when offering you other positions. Our compensation philosophy is to pay fairly, also considering market situation and the value employees may bring to Swiss Re.
We are an equal opportunity employer, and we value diversity at our company. Our aim is to live visible and invisible diversity – diversity of age, race, ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities and experiences – at all levels and in all functions and regions. We also collaborate in a flexible working environment, providing you with a compelling degree of autonomy to decide how, when and where to carry out your tasks.
We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.
We are an equal opportunity employer, and we value diversity at our company. Our aim is to live visible and invisible diversity – diversity of age, race, ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities and experiences – at all levels and in all functions and regions. We also collaborate in a flexible working environment, providing you with a compelling degree of autonomy to decide how, when and where to carry out your tasks.
We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.
Requirements for the employee
Candidates with education suit the position
University education (Bachelor's degree)
University education (Master's degree)
Postgraduate (Doctorate)
University education (Master's degree)
Postgraduate (Doctorate)
Language skills
English - Upper intermediate (B2)
The position is suitable for a fresh graduate
Yes
Personality requirements and skills
Nobody is perfect and meets 100% of requirements. If you however meet some of the criteria below and are genuinely curious about the world of data science, we will be happy to meet you.
In order to be successful in the role, you need to have these technical skills and knowledge:
• Degree in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field. We welcome different levels, including graduates.
• Knowledge of programming languages Python and/or R
• Knowledge in machine learning, statistical modelling and related technologies
If you also have the following experience and interests, it is a huge plus:
• Background in software engineering
• Experience in distributed computing/databases
• Interest in Natural Language Processing and machine learning on geo data
Thank you for taking your time to read our job advertisement. We look forward to receiving your application!
In order to be successful in the role, you need to have these technical skills and knowledge:
• Degree in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field. We welcome different levels, including graduates.
• Knowledge of programming languages Python and/or R
• Knowledge in machine learning, statistical modelling and related technologies
If you also have the following experience and interests, it is a huge plus:
• Background in software engineering
• Experience in distributed computing/databases
• Interest in Natural Language Processing and machine learning on geo data
Thank you for taking your time to read our job advertisement. We look forward to receiving your application!
Advertiser
Brief description of the company
As the world's leading and most diversified global reinsurer, we offer as our core business financial services products that enable risk taking essential to enterprise and progress. Our company was founded in Zurich, Switzerland in 1863, and operates in more than 25 countries and provides its expertise and services to clients throughout the world. We combine financial strengths with experience, knowledge and creative thought to explore new opportunities in the interests of our clients, staff and shareholders.
Number of employees
1700 and more employees
Company address
Contact
Contact person: Lucia Vargova
ID: 4063272
Megjelentetés dátuma: 19.7.2021
2021-07-19
Régió: Bratislava Pozíció: Customer Support Specialist, Database Analyst, IT Analyst, IT System Administrator, IT/Technical Support Specialist Cég: Swiss Re
Alapbér (bruttó): 1 700 EUR/month