Product Manager Data Science

Are you eager to make a difference for the payment solutions and shopping experience of tomorrow? Are you passionate about data science, analysis and data driven services? Do you want to work for one of the leaders in the market and aim for undisputed market leadership? Do you want to collaborate with talented, skilled and highly motivated colleagues to create innovative and user-friendly services in an environment that combines the best from two worlds; large banking and innovative fintech.

Our vision

Our vision is to pay everyone sooner or later via PayEx. It is an ambitious vision that shows that we have a strong belief in ourselves. We are driven by high levels of service, innovation and entrepreneurial spirit. PayEx's success is largely due to the fact that we have united and competent employees who take great responsibility.

We work based on our values: Service, Innovation, Knowledge och Honesty.

About the job

Explanation of the job based on the role description.

PayEx is looking for someone who enjoys working with large data sets to figure out how certain metrics can be used to optimize our products and services. Your primary goal will be to help increase conversion rates of PayEx’ payment solutions to maximize business value for our customers, the merchants. Your work will result in unique and customized payment experiences for each customer based on both personal and global insights together with situation and context driven analysis.

As the payment landscape is in constant evolution driven by new tech and changing consumer behavior, the best possible payment experience is not fixed. This calls for agile product management and development. You will need to have a continuous dialogue with solution architects and product management, exchange insights and theories and help conclude on product development strategy.

You will have a golden opportunity to really make a difference and heavily impact our product competitiveness as well as shaping the future of payments and shopping experience in general. You will work at the epicenter of Swedbank PayEx Commerce and your analysis and findings will receive a great deal of attention. Succeeding in this role will make you a star.

Some of your duties include:

• Establishing conversion analytics at a new level within PayEx.
• Building the processes to generate insights which product strategies will stem from.
• Building machine learning that will positively impact end customer payment experience in real time.
• Building a solid process to test and evaluate new product design based on insights and data.
• Making sure that tests are based on a clear hypothesis and set up, to be able to read, learn and gain real insights.
• Collaborate closely with the Product and IT teams to drive product development based on shared insights.
• Working truly data-driven end-to-end and to own the full chain from analysis to strategy and execution.
• Function as a specialist to the Product and IT teams, promoting data driven development in our digital services
• Develop statistical, predictive analytical models and insights using scientific test/validation based methods. Visualize and explain results in an easy to grasp manner.

Competences required to succeed in the role

We believe we should expect the following background from you

• B.A. or B.S. in Mathematics, Statistics, Computer Science or similar
• Several years of experience working with analytics, preferably e-commerce. The ability to understand the challenges of our business and using statistical analysis, statistical models and machine learning to solve problems and create value in a business context.

• Experience of working with databases and SQL
• You have good knowledge and experience in tools such as R, Python or equivalent.
• Experience with complexity data preparation, and out of memory data preparation.
• Have experience within TensorFlow (or Theano, CNTK), Keras, NumPy, Pandas, Matplotlib and Scikit-learn python library
• Experience with and willing to improve your knowledge within deep neural networks, recurrent neural network, convolutional neural network, embedding, natural language processing, attention model, multi-input and multi-output models
• Familiar with out of memory computation, like using generators for training machine learning models
• Familiar with machine learning production environments like TensorFlow Servings and PipelineAI
• Familiar with cloud computing like Amazon Web Services, Azure and Google Cloud
• You are very passionate about using data and analytics to understand customer behavior and answer business questions.
• You are fluent in English.
• You can navigate well in the analytics stack and process e.g. exploring, modeling, validating, visualizing and communicating.

We will consider the following as a plus

• Experience of payment solutions
• Experience of conversion rate analysis and improvements
• Knowledge about github, docker, kybernetes, Elastic and Javascript.

If you have experience with e-commerce, administrative interfaces and Product Management it’s a plus

Why work with me? – Henrik Ramström

I have more than 16 years of experience in commerce payments. I am driven by creating successful and value adding services through team work, creativity and a clear focus. You can expect a very driven but prestigeless leadership wiht a clear idea on strategy and goals. I believe in diversity and welcome constructive ideas for improvements. I will expect you to be super engaged, capability to think out of the box, currage to stick out you neck but also ability to support a chosen strategy with a clear focus. You will work in a team that play an important and central role in our product and business strategy. Our common goal is to be the leading star on PayEx and Swedbank chosen path to become market leader for commerce payment services. 

Application

We can start the selection during the application period and welcome your application as soon as possible. The applications will be processed confidentially.

PayEx is a subsidiary of Swedbank with approximately five hundred employees in four counties. Since the start of Gotland in 1972, we are pursuing the development of our industry and today it is one of the Nordic countries' leading experts in payment. We have comprehensive and hard-earned expertise in all forms of payment solutions for e-commerce, mobile platforms and physical commerce. We daily help our customers with all types of trading, rating and billing services, invoice and account management, debt collection, credit and financing.