Data Scientist

Apply and develop machine learning on true big data to excel in areas spanning from preventive maintenance to customer lifetime value and propensity modelling.
Be a driving force for innovation and exploring new potential use cases leveraging our vast data and analytics tools and capabilities
Delivering valuable and actionable insights in close cooperation with lines of business to maximize value through advanced analysis and self-service analytics.
Develop real-time analytics using our core capabilities such as Spark and Kafka.
Explore new data sources and new business value using various Data Discovery techniques and tools
Pilot and test analytical tools and continuously improve our analytics capabilities
Making the complex look simple and easy to understand by using visualization and storytelling

Proven track-record from working with applied Advanced Analytics where you have used your unique blend of analytical, technical and business skills to create value
Experience in statistical analysis, predictive modelling and/or machine learning applied on real world problems in a commercial environment.
Proven experience from relevant advanced analytics environments, e.g. Hive, Spark, Impala, R, Python and Notebooks
Fluent in English, spoken and written. Good presentation skills.

We’re Telia Company, the New Generation Telco. Our 21 000 talented colleagues serve millions of customers every day in one of the world’s most connected regions. With a strong connectivity base, we’re the hub in the digital ecosystem, empowering people, companies and societies to stay in touch with everything that matters 24/7/365 - on their terms. Headquartered in Stockholm, the heart of innovation and technology, we’re set to change the industry and bring the world even closer for our customers.

At Telia Company Data & Analytics we are leading Telia Company’s journey of leveraging big data and advanced analytics to become a truly data driven organization. Telia’s vision is to be a leader in cost efficiency & top-line growth by using our vast data from our products, networks and services. The Data & Analytics organisation consist of four different units and Services that provide support and analytics to more than 15 current internal customers across six countries.