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Senior Data Scientist, Personal banking
18 hours ago
Would you like to empower business professionals to unlock the potential of data? We are growing our team in Personal Banking’s Data, Digital Sales and Engagement (DDSE) Sweden.
We are a group of specialists in various fields; everything from digital marketing and content production to web analysis and data science. Collectively, we are responsible for engaging new and existing personal customers in digital channels, and driving sales via online/mobile banking and nordea.se.
At Nordea, we see that the world is changing fast – and we want to be one step ahead of the curve. That’s why we’re deeply committed to providing the financial solutions of tomorrow to our customers. We’re creating an agile environment where we experiment and grow together – and we need your ideas and unique background. With us, you’ll be in good company with a chance to make your mark on something bigger.
About this opportunity
This is a role within Personal Banking Analytics/Data, Digital Sales and Engagement. We are building the omnichannel customer journey experience and for that we need to connect different data sources across our platforms and applications. Right product, right process, right message, right channel, at the right time for the right customer.
We are looking for a curious, driven Data Analyst/Data Scientist that is a crucial part of implementing this strategy. Someone who is comfortable working on their own or as part of team to support Personal Banking (business stakeholders).
What you will be doing
You will enable Digital Sales to use the power of data and analytics to create the omnichannel experience. Providing insights and recommendations, driving intelligent automation by applying model-based solutions, simplification of processes, and identifying new data sources to our marketing automation tools. You will collaborate with the team to develop our data into advanced AI models, predicting customer's future needs and behaviour in digital channels.
In addition you will:
1. Analyze how our omnichannel business is developing including e.g. sales, activity performance, customer behaviour, pricing, process steps and demand.
2. Design and develop customer engagement activities: suggest target group, evaluate data availability, support utilizing sufficient control groups, monitor the outcome of activities, and evaluate the results.
3. Participate actively in the work of digital customer journey teams, training and coaching the team to utilize data & analytics.
4. Enable data for analytics, reporting and marketing automation tool(s).
5. Recommend and perform analysis of different data sources to spot development trends and pain points.
6. Together with a wider data analyst community, take part into building analytics & tools needed for business development.
The role is based in Stockholm, Sweden.
Who You are
Collaboration. Ownership. Passion. Courage. These are the values that guide us in being at our best – and that we imagine you share with us.
We are looking for someone that loves working with data and analytics - someone who can look at all kinds of data and see meaning, insights, ideas, opportunities and elevate analysis and strategic thinking to support the team in delivering the best customer experiences. You have the skills and mindset to take ownership of the whole spectrum of data science: data gathering, cleaning, engineering, and modelling, while taking the business perspective into account.
To succeed in this role:
1. You are a true data science professional.
2. You are good at collaboration in practice - work closely with other SMEs (Subject Matter Experts), involve stakeholders and always ask questions and investigate alternative solutions.
3. You are able to clearly communicate complex issues in an easy and understandable manner to a wide range of stakeholders.
4. You can drive tasks on your own but are equally skilled in facilitating collaboration around tasks while maintaining the customer centric mindset.
5. You are innovative, open-minded and excited about bringing your ideas to the table. You strive for continuous improvement and love learning and trying out new things. You're dependable, willing to speak up even when it's difficult, and committed to empowering others.
6. You have a proactive, innovative and can-do oriented mindset with the ability to convert new ideas into concrete actions, sharing a “make it happen attitude.”
7. You have a passion to share your knowledge, supporting less experienced data users, with the ability to inspire and motivate.
Your experience and background:
1. Academic degree in highly quantitative discipline or specialisation such as Computer Science, Physics, Mathematics, Engineering, Economics, or Finance, and you have understanding of statistical concepts (e.g. Hypothesis Testing) and machine learning models.
2. 3-5 years of experience in data analytics/data science.
3. You are comfortable using one or more data science programming language e.g. Python, R, SQL.
4. You know your ways around tools like Hive, Snowflake, visualization tools such as Power BI.
5. You understand the principles of working with an Agile development approach.
6. Proficient in written and spoken Swedish and English.
What we offer
By joining Nordea you can impact the life of 11 million customers. Our team has an important role in helping to inspire and educate business teams on effectively utilizing data to drive informed decision-making. Joining the team will provide you with opportunities to use your experience with data management, data analysis and data engineering to support business developers, leaders, digital marketing specialists & other stakeholders.
If this sounds like you, get in touch
Next steps
Please submit your application no later than 02/02/2025. Interviews will be held continuously. For more information about the position, you are more than welcome to contact Sebastian Kovacs, Head of PeB analytics SE, +46 76-8239114, Sebastian.kovacs@nordea.se
At Nordea, we know that an inclusive workplace is a sustainable workplace. We deeply believe that our diverse backgrounds, experiences, characteristics and traits make us better at serving customers and communities. So please come as you are.
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