Are you excited about data science and would like to supplement your studies with hands-on experience within one of the largest financial institutions in the Nordics?
In Danske Bank, we believe in the power of data and analytics to enable focused and relevant communication with our customers, and support them in making the right financial decisions. For our team in Advanced Commercial Analytics, we are looking for Student Data Scientists to assist in driving the development of innovative data science solutions that supports this mission.
Our team consists of 15 Data Scientists with different backgrounds, nationalities and expertise areas, ensuring a skilled data science community while also having fun. We currently have one Student Data Scientist and more former students who have continued as full-time data scientists after graduating.
Kick-start your career in this role
We believe in hiring greatly qualified people and empowering them to come up with innovative solutions.
“As a Student Data Scientist in our team, you will get end-to-end ownership of data science tasks, taking lead on developing machine-learning model from initial ideation and problem scoping to developing the model and overseeing the business implementation”, elaborates your future manager, Martin Bo Marcussen.
You will be paired and coached by senior data scientists and receive relevant training to develop, deliver and grow in the job.
Our tech stack consists of relevant enterprise and open sources tools, including JIRA, SQL, Spark, Hive, Hadoop, Celebrus, SQL Server, Python, PyCharm, Jupyter Notebooks, Anaconda, Bitbucket, pandas, SciPy, sci-kit learn.
After some time as Student Data Scientist, you have obtained a good understanding of the E2E data science value chain as well as gained hands-on experience with developing and deploying data science solutions to solve real-life problems. In other words, a great starting point for a future career within data science.
Problem-solving skills and aspiration for learning new things
The ideal candidate is excited about learning and solving real-life data science problems. Martin continues: “We are looking for students with an entrepreneurial approach, an enthusiastic personality and a curious mind-set. Students who are looking to get hands-on experience in solving real-life problems with data science and who enjoys taking ownership from start to end!”
With that, we imagine that you are in your last year of your bachelor or in the beginning of your master education. Furthermore, we believe you will thrive in the position if you:
· have solid coding skills, e.g. SQL and Python or similar. Experience with Hadoop, PySpark or other big data frameworks would be relevant.
· are excited about working with data
· are curious about the financial sector and applying behavioural finance
Is this the job for you?
The position is typically 12-15 hours per week. We value a mutually flexible approach to working time - both during our busy periods and during your exam periods. We have a working-from-home setup where most colleagues work 2-3 days a week from home.
If this sounds great to you, then do not hesitate to apply or reach out! We conduct interviews on an ongoing basis and hire when we find the right candidates.
Please feel free to contact Head of Advanced Commercial Analytics, Martin Bo Marcussen, via email email@example.com or LinkedIn if you have any questions,.
We look forward to receive your application.