Do you strive for making a difference? Are you motivated by working with Analytics in a talented team of Data Scientists?

At Combient you will be part of a dedicated team with the mission to support our owners and member companies in their digital journey.

Combient is currently building a strategic capability around Advanced Analytics in our Analytics Centre of Excellence in order to service our owners and member companies in leveraging the latest developments in machine learning and predictive analytics and applying it to industrial problems. Since our owners include some of the largest companies in Sweden, and spans a wide range of verticals, you will be able to apply your experience, skills and creativity on a broad scale. This is a real opportunity to impact how industry leverages data to improve their business and their products.

For the role as “Applied Data Scientist” we are looking for a skilled data scientist. We believe that you are a curious individual with a keen interest in understanding and contributing to the bigger contexts of the problems that the customer is addressing.

You will:

• support new projects with expertise in statistical models and machine learning
• research, implement and build algorithms and solutions – analyse and share results with team members and customers

You have:

• an advanced degree in Computer Science, Statistics, Mathematics, Physics, Electrical Engineering or equivalent
• consultant experience or similar customer-interfacing roles
• solid knowledge in advanced analytics and quantitative techniques
• practical experience in using at least one modern big data or machine learning toolkit, e.g. SAS, R, Mathematica, Matlab/Octave, Python or Spark/Hadoop
• knowledge of SQL and professional experience in a modern programming language
• excellent communication and presentation skills

Bonus if you have experience with:

• Spark/Hadoop clusters, and the tools in the Hadoop ecosystem
• distributed, high performance or GPU computing
• consultancy or similar customer-interfacing roles
• industrial systems and predictive maintenance (PdM)
• process automation and process mining techniques allowing for extracting information from workflow automation systems
• data mining toolkits such as KXEN, Kamanja and Rapidminer
• modern databases such as Vertica, SciDB or Cassandra
• stream processing (Apache Spark Streaming, Storm, Apache Flink etc) ETL, data quality, database modeling and data warehousing principles

Personal qualities:

• good communication and interpersonal skills
• business understanding and analytical skills
• ability to work independently, with continuous improvements, in a structured way, sets right priorities
• highly motivated with a strong enthusiasm and ability to create long lasting relationship

Please note that you must have a Swedish/EU work permit and be fully fluent in English. No relocation assistance or visa support provided.

Do you strive for making a difference? Are you motivated by working with Analytics in a talented team of Data Scientists?

At Combient you will be part of a dedicated team with the mission to support our owners and member companies in their digital journey.

Combient is currently building a strategic capability around Advanced Analytics in our Analytics Centre of Excellence in order to service our owners and member companies in leveraging the latest developments in machine learning and predictive analytics and applying it to industrial problems. Since our owners include some of the largest companies in Sweden, and spans a wide range of verticals, you will be able to apply your experience, skills and creativity on a broad scale. This is a real opportunity to impact how industry leverages data to improve their business and their products.

For this position we are looking for a skilled data scientist with strong experience from data science within large enterprises. You are a senior individual with a keen interest in sharing and contributing to the bigger context.

Location is either in Stockholm or Gothenburg.

You will:

• support customers with cross functional holistic view of analytics for different domains
• support new projects with expertise in statistical models and machine learning
• mentor our customers own data scientists in developing new skills
• research, implement and build algorithms and solutions
• conduct Proof of Concepts
• analyze and share results with team members and customers

You have:

• at least five years of work experience in industrial context in two or more domain areas (R&D, Finance, Manufacturing, CRM etc.) or
• consultant role at large enterprises with advanced analytics such as data mining, text mining, machine learning or predictive analytics
• a degree in Computer Science, Statistics, Mathematics, Physics, Electrical Engineering or adequate working experience
• solid knowledge in advanced analytics, quantitative techniques, industrial systems and predictive maintenance
• process automation and process mining techniques allowing for extracting information from workflow automation systems

Bonus if you have experience with:

• modern databases such as Vertica, SciDB or Cassandra
• using modern big data or machine toolkit, e.g., SAS, R, Mathematica, Matlab/Octave, Python or Spark/Hadoop
• Stream processing (Apache Spark Streaming, Storm, Apache Flink etc), ETL, data quality, database modeling and data warehousing principles and traditional BI.

Personal qualities:

• good communication and interpersonal skills
• ability to convert strategic objectives into practical activities
• business understanding and analytical skills
• ability to work independently
• knowledge sharing and team player
• highly motivated with a strong enthusiasm and ability to create long lasting relationships

Please note that you must have a Swedish/EU work permit and be fully fluent in English. No relocation assistance or visa support provided.

Do you have a strive for making a difference? Will you get motivated from working within the area of Analytics in a highly talented team. If so, please keep reading!

Combient is currently building a strategic consultancy around data science and analytics in the Analytics Center of Excellence. We serve our owners and member companies in leveraging the latest developments in machine learning, predictive analytics and descriptive analytics and applying that to industrial problems. This is a real opportunity to impact how industry leverages data to improve their business and products to transform data into insights and actionable decisions.

You will:

As part of the Analytical Center of Excellence team, you will be responsible for the design in on-site engagements with customers at multiple levels of their organizations.

You will work directly with our customers responsible for design of the technical solutions. You’ll also support in how to help integrate with ETL, analytics and visualization tools and software. These solutions often cover a cross-section of needs including Data Science, Business Intelligence, Artificial Intelligence and Machine Learning.

This includes:

• quickly understanding customer requirements and constraints and work to help them build analytical architectures to support their future needs.
• create possibilities for re-use of solutions that can be of mutual use by our sphere companies, document reference architectures

You have:

• at least 5 years’ experience architecting and implementing batch and real-time analytical systems
• Excellent understanding in modern architectures
• solid knowledge of the technologies for digital business challenges, especially cloud environments
• experience of modern big data or machine toolkit, e.g., SAS, R, Mathematica, Matlab/Octave, Python, Spark/Hadoop, data warehouse and analytical visualization tools and ETL tools
• Deep experience diving into a new technology or architecture, understanding its patterns, anti-patterns, and how it compares to other technologies and architectures
• Experience with AI or ML technologies
• Understanding of Routing and Firewall as well as securtity

Note that you must have a Swedish/EU work permit and be fully fluent in English. No relocation assistance or visa support can be provided.  

Do you have a strive for making a difference? Will you get motivated from working with Analytics in a talented team of Data Scientists?

At Combient you will be part of a dedicated team with the mission to support our owners and customers in their digital journey. Combient is currently building a strategic capability around Advanced Analytics in our Analytics Centre of Excellence in order to serve our owners and member companies in leveraging the latest developments in machine learning, predictive analytics and applying it to industrial problems. Since our owners include some of the largest companies in Sweden, and span a wide range of verticals, you will be able to apply your experience, skills and creativity on a broad scale. This is a real opportunity to impact how industry leverages data to improve their business and their products.

For this position we are looking for a skilled data scientist with strong experience from data science within large enterprises. You are a senior individual with a keen interest in sharing and contributing to the bigger context. Location is either in Stockholm or Gothenburg.

The scope includes:

• Support customers with cross functional holistic view of analytics for different domains
• Support new projects with expertise in statistical models and machine learning
• Mentoring our customers own data scientists in developing new skills
• Research, implement and build algorithms and solutions
• Conduct Proof of Concepts
• Analyze and share results with team members and customers Required qualifications:
• At least five years of work experience in industrial context in two or more domain areas (R&D, Finance, Manufacturing, CRM etc.) or
• Consultant role at large enterprises with advanced analytics such as data mining, text mining, machine learning or predictive analytics
• A degree in Computer Science, Statistics, Mathematics, Physics, Electrical Engineering or adequate working experience
• Solid knowledge in advanced analytics, quantitative techniques, industrial systems and predictive maintenance
• Process automation and process mining techniques allowing for extracting information from workflow automation systems Nice to have:
• Knowledge of modern databases such as Vertica, SciDB or Cassandra
• Experience in using modern big data or machine toolkit, e.g., SAS, R, Mathematica, Matlab/Octave, Python or Spark/Hadoop
• Stream processing (Apache Spark Streaming, Storm, Apache Flink etc), ETL, data quality, database modeling and data warehousing principles and traditional BI.

Personal qualities:

• Good communication and interpersonal skills
• Ability to convert strategic objectives into practical activities
• Business understanding and analytical skills
• Ability to work independently
• Knowledge sharing and team player
• Highly motivated with a strong enthusiasm and ability to create long lasting relationships

Please note that you must have a Finnish/EU work permit and be fully fluent in English. No relocation assistance or visa support provided.

Do you have a strive for making a difference? Will you get motivated from working within the area of Analytics in a highly talented team.

Combient is currently building a strategic consultancy around data science and analytics in the Analytics Center of Excellence. We serve our owners and member companies in leveraging the latest developments in machine learning, predictive analytics and descriptive analytics and applying that to industrial problems. Since our owners include some of the largest companies in Sweden, and spans a wide range of verticals, you will lead complex projects in broad scale. This is a real opportunity to impact how industry leverages data to improve their business and products to transform data into insights and actionable decisions.

You will:

• Develop Project plans for individual projects within Analytics Center of Excellence
• Convey important relationship of each project to a bigger picture, including the larger program/projects within same company or cross companies within our sphere
• Ensure that projects are organized and executed in a consistent manner and/or fulfilled within established standards (agreed with the customers)
• Be a team player, support your team members, create a good working spirit within the projects
• Ensure that the overall project structure and management processes enable the project teams to successfully complete their work.
• Ensure that the project deliverables can be integrated into the customer and product, service, results and business benefits.
• Project stakeholder management, including identify stakeholders, understand their needs and expectation and develop a stakeholder management plan to engage affected stakeholders, manage their expectation and improve their acceptance of project objectives. Based on the stakeholders input develop KPIs that are reported accordingly to the Communication plan.
• Ensure alignment of the individual project plans, with the goals and benefits.
• Project budget follow up.
• Reporting status and progress to a Project Steering Committee or Manager of Analytics Center Manager

You have:

• solid knowledge managing analytics projects and understanding the digital business challenges
• experience of driving projects with business environment at large enterprises
• a broad view both of program objectives and organizational culture
• business development skills
• time management ability
• people skills
• strong communication skills to deal with various stakeholders
• leadership skills are needed for managing multiple project teams
• extensive experience of driving large projects within enterprise companies

Note that you must have a Swedish/EU work permit and be fully fluent in English. No relocation assistance or visa support can be provided.

Do you have a strive for making a difference? Will you get motivated from working within the area of Analytics in a highly talented team. If so, please keep reading! Combient is currently building a strategic consultancy around data science and analytics in the Analytics Center of Excellence. We serve our owners and member companies in leveraging the latest developments in machine learning, predictive analytics and descriptive analytics and applying that to industrial problems. This is a real opportunity to impact how industry leverages data to improve their business and products to transform data into insights and actionable decisions.

You will:

As part of the Analytical Center of Excellence team, you will be responsible for the design in on-site engagements with customers at multiple levels of their organizations.

You will work directly with our customers responsible for design of the technical solutions. You’ll also support in how to help integrate with ETL, analytics and visualization tools and software. These solutions often cover a cross-section of needs including Data Science, Business Intelligence, Artificial Intelligence and Machine Learning.

This includes:

• quickly understand customer requirements and constraints and work to help them build analytical architectures to support their future needs.
• create possibilities for re-use of solutions that can be of mutual use by our sphere companies, document reference architectures

You have:

• at least 5 years’ experience architecting and implementing batch and real-time analytical systems
• Excellent understanding in modern architectures
• solid knowledge of the technologies for digital business challenges, especially cloud environments
• experience of modern big data or machine toolkit, e.g., SAS, R, Mathematica, Matlab/Octave, Python, Spark/Hadoop, data warehouse and analytical visualization tools and ETL tools
• Deep experience diving into a new technology or architecture, understanding its patterns, anti-patterns, and how it compares to other technologies and architectures
• Experience with AI or ML technologies
• Understanding of Routing and Firewall as well as securtity

Note that you must have a Swedish/EU work permit and be fully fluent in English. No relocation assistance or visa support can be provided.