Malmö: Digital R&D Data Scientist

Hitta ansökningsinfo om jobbet Digital R&D Data Scientist i Malmö. Är det intressant kan du gå vidare och ansöka jobbet. Annars kan du klicka på arbetsgivaren eller yrkesbenämningen för att se alla jobb i Malmö inom den kategorin.

Publicerad: 2024-07-09 // Varaktighet: Heltid

Purpose of Role: As a talented and motivated Data Scientist within our Digital R&D team you analyze (complex) data sets, develop predictive models, and extract actionable insights to support our and our customer’s strategic decision-making. You work closely with cross-functional teams to understand business needs, design data-driven solutions, and communicate findings effectively, tailored to your audience.

Why choose Weir:
Be part of a global organization dedicated to building a better future: At Weir, the growing world depends on us. It depends on us constantly reinventing, quickly adapting and continually finding better, faster, more sustainable ways to access the resources it needs to thrive. And it depends on each of us doing the best work of our lives. It’s a big challenge – but it is exciting.
An opportunity to grow your own way: Everything moves fast in the dynamic world of Weir. This creates opportunities for us to take on new challenges, explore new areas, learn, progress and excel. Best of all, there is no set path that our people must take. Instead, everyone is given the support and freedom to tailor-make their own career and do the best work of their lives.
Feel empowered to be yourself and belong: Weir is a welcoming, inclusive place, where each individual’s contribution is recognized and all employees are encouraged to innovate, collaborate and be themselves. We continually focus on people and their wellbeing. We believe in fairness and choose to be honest, transparent and authentic in everything we do.

Key Responsibilities:


· Data Collection and Integration: Gather and consolidate data from various sources, ensuring quality and reliability.
· Data Cleaning and Preprocessing: Identify and fix data anomalies, missing values, and inconsistencies.
· Exploratory Data Analysis (EDA): Use statistical tools and visualization techniques to uncover patterns and relationships.
· Feature Engineering: Create and select relevant features to enhance model performance and manage large datasets.
· Model Development and Evaluation: Develop, train, validate, and refine (predictive) models using machine learning and statistical techniques.
· Algorithm Implementation: Design and optimize algorithms for specific business problems.
· Data Visualization and Reporting: Develop dashboards and reports to communicate findings clearly to non-technical stakeholders.
· Collaboration: Work with cross-functional teams to understand business needs and provide data-driven recommendations.
· Project Management: Ensure data science projects are delivered on time and within scope, documenting processes and reporting outcomes.
· Continuous Learning: Stay updated with the latest advancements in data science and improve analytical processes.
· Ethical Data Use: Ensure compliance with data privacy standards and address biases in data handling.
· Performance Monitoring: Monitor and update deployed models and algorithms for sustained accuracy and relevance.

Founded in 1871, Weir is a world leading engineering business with a purpose to make mining operations smarter, more efficient and sustainable. Thanks to Weir’s technology, our customers can produce essential metals and minerals using less energy, water and waste at lower cost. With the increasing need for metals and minerals for climate change solutions, Weir colleagues are playing their part in powering a low carbon future. We are a global family of 11,000 uniquely talented people


in over 60 counties, inspiring each other to do the best work of our lives.

For additional information about what it is like to work at Weir, please visit our Career Page and LinkedIn Life Page.

Alla platsannonser →

Andra jobb i Malmö som Dataingenjör

Nedan visas andra jobb i Malmö som Dataingenjör.

Data engineer - AWS

Läs mer Jul 2
Har du erfarenhet av att jobba som Data Engineer i AWS Data Platform och vill bli en del av vårt lokala team inom Data & AI. Här finns möjligheten till ett långsiktigt arbete med att trygga uppdrag.

Vi söker dig som har flerårig erfarenhet av att arbeta med AWS Data Platform. På kontoret finns kollegor inom Data & AI området som arbetar med allt från klassisk Business Intelligence till moderna cloud lösningar i Microsoft Azure, AWS och GCP men även MDM och AI/ML.

Vilka är vi? ????
Inom Sogeti finns det många hjälpsamma och glada kollegor med stor erfarenhet inom området. Vi prioriterar en balans mellan arbete och fritid högt och har en familjär arbetskultur. Det finns även ett brett nätverk inom hela Sogeti som hjälper dig att bredda och spetsa dina kunskaper.

Vi på Sogeti i region Syd har en härlig gemenskap och tycker det är viktigt att ha kul på jobbet och stötta och lära av varandra. Dina nya kollegor är fantastiska systemutvecklare, systemarkitekter, projektledare, förvaltningsledare, ux-designers, testledare och testare. Bland våra kunder finns regionens myndigheter och större företag men du kan också dra fördel av hela Sogeti som ger möjlighet till spännande uppdrag runt om i Sverige.

Läs mer om några av de många anledningarna som finns för att jobba hos oss:

- Våra förmåner - Här hittar du en översikt av de förmåner vi erbjuder på Sogeti.
- Din utveckling - Vårt mål är att den som är anställd hos oss ska vara på en ständig utvecklingsresa och bli den bästa versionen av sig själv.

Vem söker vi?
Du trivs i rollen som konsult, med möjlighet att växa och få ett omväxlande arbete. Vi tror att du är fokuserad, lösningsorienterad och analytisk. Du kan arbeta självgående och du brinner för ditt område och vill ha möjligheter att vidareutvecklas.

För att lyckas i rollen behöver du kunskap inom följande:

- Innehar en eller flera certifieringar inom AWS Data Platform t.ex. AWS Data Engineer, AWS Solution Architect
- Minst 3 års erfarenhet inom AWS Data Platform som Data Engineer
- 2 års erfarenhet inom DataBricks
- Du talar och skriver svenska obehindrat

Du kommer ingå i vårt team som fokuserar på framtagandet av lösningar inom Data & AI, så som dataflöden, data lakes, data lake houses, rapporter etc. Teamet leds av Magnus Jacobi som har lång erfarenhet inom BI och Analytics.

Har du läst ner hit och är fortsatt intresserad av att höra mer vad vi gör så skicka i väg din ansökan till oss redan idag då vi jobbar med löpande urval. Kontakta gärna rekryteraren Olivia Veal om ni har frågor eller funderingar (olivia.veal@sogeti.se). Hoppas vi hörs och ses!

Sogeti, en del av Capgemini-koncernen, har verksamhet på över 100 orter runt om i världen. I Sverige finns 21 kontor med totalt 1200 medarbetare. Sogeti arbetar nära kunder och partners för att dra full nytta av möjligheterna med teknologi och kombinerar agilitet och implementeringshastighet för att skräddarsy innovativa, framtidssäkrade lösningar inom Quality Engineering & Testing, Cloud och Cybersecurity, förstärkta av AI och automation. Med sin pragmatiska ”value in the making”-ansats och sin passion för teknologi hjälper Sogeti organisationer att digitalisera – snabbt.

Alla människor ska ha samma möjligheter. Inte minst i sitt arbete, därför är jämställdhet en självklarhet för oss och vi tar mängder av initiativ för att främja detta, bland annat genom #addher - ett av Sveriges största nätverk för kvinnor i IT-branschen.

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Data Engineer for Ikano Bank

Läs mer Maj 13
Jobbify är en jobbplattform för vassa kandidater.
För kunds räkning har vi publicerat denna annons, vill du komma i kontakt med den slutgiltiga arbetsgivaren kan du klicka dig vidare till annonsen:

Are you passionate about data and technology? Are you a motivated and analytical person seeking an exciting and rewarding opening in a fast-paced environment? Have you worked with Data Engineering and AWS? If you're looking for change - we're looking for you!

Ikano Bank’s Digital organization is on an exciting transformation journey to advance our mindsets, ways of working, and solutions. Our vision is to establish user-friendly digital capabilities for the many people by unlocking the full potential of our co-workers and partners. Let’s achieve great things together!

We offer you

As a Data Engineer you will strengthen our Data & Analytics function and you will have a great platform to expand your career and data knowledge. You will work in a diverse and friendly team in a fast-paced environment, acting as a subject matter and collaborating closely with Scrum Master, Product Owner, Business Intelligence Architect, Data Analyst as well as business stakeholders.

This position is more than what meets the eye. You will get the chance to push boundaries and influence your daily work. All as part of a caring and open culture where we live our values, work hard, have fun, and operate with a long-term perspective. Because here opportunities arise, and growth follows.

Are you the one for Ikano?
Key responsibilities:

Analyze and understand raw source data as well as business data needs.

Develop and support data pipelines on IKANO Bank’s AWS-based Data Platform

Transform designs and requirements into efficient, high-performing, easily maintainable, and reusable code

Apply critical thinking skills, identify trends and root causes of relatively complex problems

Automate as much as possible, from CI/CD pipelines to testing and data quality

Participate in the Solution Design process and pro-actively recommend solutions

As we strive to work according to DevOps practices, you will share the responsibility with the rest of the team to make sure that our solutions are developed, tested, deployed, and run well

Collaborate with, help and support team members and other stakeholder


Key Qualifications

Understand the demand of particular requirements or problems and applies data engineering skills/techniques thereafter

Knowledge base acquired from a few years of experience in data technologies used for data transformation in relational databases and big data environments ( such as on S3, Python, IAM, AWS Glue, AWS Athena, Spark, Redshift, Airflow etc)

Has experience building Datalake, Datawarehouse or Datamarts in AWS

Experience working with complex data sets, building and maintaining data platforms with focus on data integrity, high data quality

Experience with building pipelines for batch and streaming sources

Excellent English communication skills (written and verbal)


Meritorious:

Experience in data modeling, particularly for Data Warehouses

Knowledge of Infrastructure as code and CI/CD pipelines

Experience working in DevOps team

Experience collaborating with offshore support team

Experience in the technology of our current data platform technologies (Oracle RDBMS and Informatica)

Experience and knowledge of agile frameworks, preferably SAFe

Financial/Banking experience


We want our customers, partners, and co-workers to choose us for what we stand for, what we deliver and how we deliver it. Three basic values guide our work: common sense and simplicity, working together, and daring to be different.

Join us now – together we will find a better way

This position is a full-time employment, located in Malmö or Nottingham. In this recruitment, we are cooperating with Cabeza. More information about the position can be provided by Recruitment Consultant Malin Schultz: malin.schultz@cabeza.se

We look forward to receiving your application!

About us

At Ikano, our vision is to create possibilities for better living. We are an international group of companies active within finance, insurance, production, real estate and retail. Ikano Group was established in 1988 and is owned by the Kamprad family. Our mission is to simplify the many people’s lives so they can focus on living it. We do this by working together to create simple and meaningful solutions based on fair terms that bring value to our customers.

Find out more about us on www.ikanogroup.com

Keywords: Data Engineer Banking, AWS, Financial Services

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Data Engineer for Ikano Bank

Läs mer Jun 6
Jobbify är en jobbplattform för vassa kandidater.
För kunds räkning har vi publicerat denna annons, vill du komma i kontakt med den slutgiltiga arbetsgivaren kan du klicka dig vidare till annonsen:

Are you passionate about data and technology? Are you a motivated and analytical person seeking an exciting and rewarding opening in a fast-paced environment? Have you worked with Data Engineering and AWS? If you're looking for change - we're looking for you!

Ikano Bank’s Digital organization is on an exciting transformation journey to advance our mindsets, ways of working, and solutions. Our vision is to establish user-friendly digital capabilities for the many people by unlocking the full potential of our co-workers and partners. Let’s achieve great things together!

We offer you

As a Data Engineer you will strengthen our Data & Analytics function and you will have a great platform to expand your career and data knowledge. You will work in a diverse and friendly team in a fast-paced environment, acting as a subject matter and collaborating closely with Scrum Master, Product Owner, Business Intelligence Architect, Data Analyst as well as business stakeholders.

This position is more than what meets the eye. You will get the chance to push boundaries and influence your daily work. All as part of a caring and open culture where we live our values, work hard, have fun, and operate with a long-term perspective. Because here opportunities arise, and growth follows.

Are you the one for Ikano?
Key responsibilities:

Analyze and understand raw source data as well as business data needs.

Develop and support data pipelines on IKANO Bank’s AWS-based Data Platform

Transform designs and requirements into efficient, high-performing, easily maintainable, and reusable code

Apply critical thinking skills, identify trends and root causes of relatively complex problems

Automate as much as possible, from CI/CD pipelines to testing and data quality

Participate in the Solution Design process and pro-actively recommend solutions

As we strive to work according to DevOps practices, you will share the responsibility with the rest of the team to make sure that our solutions are developed, tested, deployed, and run well

Collaborate with, help and support team members and other stakeholder


Key Qualifications

Understand the demand of particular requirements or problems and applies data engineering skills/techniques thereafter

Knowledge base acquired from a few years of experience in data technologies used for data transformation in relational databases and big data environments ( such as on S3, Python, IAM, AWS Glue, AWS Athena, Spark, Redshift, Airflow etc)

Has experience building Datalake, Datawarehouse or Datamarts in AWS

Experience working with complex data sets, building and maintaining data platforms with focus on data integrity, high data quality

Experience with building pipelines for batch and streaming sources

Excellent English communication skills (written and verbal)


Meritorious:

Experience in data modeling, particularly for Data Warehouses

Knowledge of Infrastructure as code and CI/CD pipelines

Experience working in DevOps team

Experience collaborating with offshore support team

Experience in the technology of our current data platform technologies (Oracle RDBMS and Informatica)

Experience and knowledge of agile frameworks, preferably SAFe

Financial/Banking experience


We want our customers, partners, and co-workers to choose us for what we stand for, what we deliver and how we deliver it. Three basic values guide our work: common sense and simplicity, working together, and daring to be different.

Join us now – together we will find a better way

This position is a full-time employment, located in Malmö or Nottingham. In this recruitment, we are cooperating with Cabeza. More information about the position can be provided by Recruitment Consultant Malin Schultz: malin.schultz@cabeza.se

We look forward to receiving your application!

About us

At Ikano, our vision is to create possibilities for better living. We are an international group of companies active within finance, insurance, production, real estate and retail. Ikano Group was established in 1988 and is owned by the Kamprad family. Our mission is to simplify the many people’s lives so they can focus on living it. We do this by working together to create simple and meaningful solutions based on fair terms that bring value to our customers.

Find out more about us on www.ikanogroup.com

Keywords: Data Engineer Banking, AWS, Financial Services

Ansök nu

Data Engineer for Ikano Bank

Läs mer Jun 11
Jobbify är en jobbplattform för vassa kandidater.
För kunds räkning har vi publicerat denna annons, vill du komma i kontakt med den slutgiltiga arbetsgivaren kan du klicka dig vidare till annonsen:

Are you passionate about data and technology? Are you a motivated and analytical person seeking an exciting and rewarding opening in a fast-paced environment? Have you worked with Data Engineering and AWS? If you're looking for change - we're looking for you!

Ikano Bank’s Digital organization is on an exciting transformation journey to advance our mindsets, ways of working, and solutions. Our vision is to establish user-friendly digital capabilities for the many people by unlocking the full potential of our co-workers and partners. Let’s achieve great things together!

We offer you

As a Data Engineer you will strengthen our Data & Analytics function and you will have a great platform to expand your career and data knowledge. You will work in a diverse and friendly team in a fast-paced environment, acting as a subject matter and collaborating closely with Scrum Master, Product Owner, Business Intelligence Architect, Data Analyst as well as business stakeholders.

This position is more than what meets the eye. You will get the chance to push boundaries and influence your daily work. All as part of a caring and open culture where we live our values, work hard, have fun, and operate with a long-term perspective. Because here opportunities arise, and growth follows.

Are you the one for Ikano?
Key responsibilities:

Analyze and understand raw source data as well as business data needs.

Develop and support data pipelines on IKANO Bank’s AWS-based Data Platform

Transform designs and requirements into efficient, high-performing, easily maintainable, and reusable code

Apply critical thinking skills, identify trends and root causes of relatively complex problems

Automate as much as possible, from CI/CD pipelines to testing and data quality

Participate in the Solution Design process and pro-actively recommend solutions

As we strive to work according to DevOps practices, you will share the responsibility with the rest of the team to make sure that our solutions are developed, tested, deployed, and run well

Collaborate with, help and support team members and other stakeholder


Key Qualifications

Understand the demand of particular requirements or problems and applies data engineering skills/techniques thereafter

Knowledge base acquired from a few years of experience in data technologies used for data transformation in relational databases and big data environments ( such as on S3, Python, IAM, AWS Glue, AWS Athena, Spark, Redshift, Airflow etc)

Has experience building Datalake, Datawarehouse or Datamarts in AWS

Experience working with complex data sets, building and maintaining data platforms with focus on data integrity, high data quality

Experience with building pipelines for batch and streaming sources

Excellent English communication skills (written and verbal)


Meritorious:

Experience in data modeling, particularly for Data Warehouses

Knowledge of Infrastructure as code and CI/CD pipelines

Experience working in DevOps team

Experience collaborating with offshore support team

Experience in the technology of our current data platform technologies (Oracle RDBMS and Informatica)

Experience and knowledge of agile frameworks, preferably SAFe

Financial/Banking experience


We want our customers, partners, and co-workers to choose us for what we stand for, what we deliver and how we deliver it. Three basic values guide our work: common sense and simplicity, working together, and daring to be different.

Join us now – together we will find a better way

This position is a full-time employment, located in Malmö or Nottingham. In this recruitment, we are cooperating with Cabeza. More information about the position can be provided by Recruitment Consultant Malin Schultz: malin.schultz@cabeza.se

We look forward to receiving your application!

About us

At Ikano, our vision is to create possibilities for better living. We are an international group of companies active within finance, insurance, production, real estate and retail. Ikano Group was established in 1988 and is owned by the Kamprad family. Our mission is to simplify the many people’s lives so they can focus on living it. We do this by working together to create simple and meaningful solutions based on fair terms that bring value to our customers.

Find out more about us on www.ikanogroup.com

Keywords: Data Engineer Banking, AWS, Financial Services

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Andra jobb i Malmö från Sentiantechnologies AB

Nedan visas andra jobb i Malmö från Sentiantechnologies AB .

Head of Process Optimisation Technology

Produktutvecklare
Läs mer Jul 22
Nytt
By leveraging our heritage of invention and expertise in the mining industry, we are building intelligent solutions to connect mining assets, people, and processes helping our customers with improving their decision-making, optimising equipment performance, and reducing environmental footprint.?
The Head of Process Optimisation Technology is a senior technical and engineering manager responsible for the process optimisation applications development and all the workstreams related to AI based process optimisation.
Reporting to the Director of Process Optimisation he/she is responsible for stakeholder management, resource management and prioritisation for a successful application development.
He/she manages a multidisciplinary team formed by data scientists, process engineers / metallurgists and control systems engineers, leading the team to a forward-thinking development strategy aligned with the business decisions.
Additionally, plays an active role on the definition of the end-to-end aspects of the process optimisation solution from customer connectivity to equipment and process modelling, and from QA processes to SaaS operations.
This role is intended to work in partnership with platform architecture team for cloud and edge, as well as other digital applications development teams and owners. Also, will be interacting with Product Strategy, local offices staff and Weir product line managers.
Visit to customer sites may be required for critical site investigations and application deployment / sign off.
Key Responsibilities and Specific Accountabilities:
· Overall Process Optimisation application ownership.
· Alongside data science team and other stakeholders, defining, prioritizing, and guiding the development of features and functionalities that meet the needs of users and stakeholders.
· Align the product roadmap with the company’s objectives and market opportunities.
· Define and communicate the product vision and strategy to stakeholders, development teams, and users.
· Act as the primary liaison between the development team and stakeholders, ensuring clear communication and understanding of product goals.
· Ensure that all product documentation is up-to-date and accessible to relevant stakeholders.
· Stay informed about industry trends, market conditions, and competitor products to identify opportunities and threats.
· Provide regular updates to stakeholders on product progress, roadmap, and performance.
· Manage expectations and address any concerns or feedback from stakeholders.
· Supervise plant data analysis to identify opportunities for process optimization.
· Supervise the equipment and process modelling and simulation required for process optimisation workstreams
· Identify trends and patterns in data and be able to use analytics to better understand the data we have in order to make data-driven decisions.
Education and/or Experience:
· Bachelor’s degree or diploma in engineering preferably in Control Systems, Electronics, Chemical or Metallurgic Engineering.
· 10+ years of experience in automation and process control applied to mining and metals sectors including PLC/DCS programming.
· 5+ years working on implementation projects or maintenance of advanced process control solutions for minerals processing sites in DCS or APC systems.
· Domain knowledge in minerals processing or related industries is mandatory.
· Product development experience of AI software products. Including life cycle management. Preferably for the mining industry.
· Understanding of cloud-based technologies and their applications to smart products and factories is preferred. The list includes but is not limited to intelligent control, AI, ML/DL, cognitive solutions, digital twins, etc.
· Experience in Agile development methodologies essential. Experience with Agile methodologies and tools (e.g., Scrum, Kanban, SAFe, Jira) as product owner or product manager.
Communication Skills:
Given the matrix nature of the role, the candidate should bring exceptional influencing skills and the ability to navigate a complex global company. To drive alignment of new digital capabilities, the candidate must foster strong relationships with leaders across the organization and be a strategic partner and trusted advisor.

Technical Skills:
Experience in Advanced Process Control and simulation tools applied to minerals processing is a must.
Highly capable in industry 4.0 technologies applied to smart factories: intelligent control, AI, ML/DL, cognitive solutions, digital twins, etc.

Work Environment:
Office based with potential for some international travel (dependent on current travel guidance) and flexibility to work non-standard hours regularly due to the global nature of the role.
Business Acumen - Understands business implications of decisions and alignment to profitability. Gains respect and trust on the external marketplace and competition knowledge and can identify ways to achieve the departmental and company strategic goals.

Drive & Initiative - Focused on results and desired outcomes. Sets ambitious goals for self and others and tackles them with enthusiasm. Initiates and generates activity, making things happen quickly.

Technological Leadership - Displays passion and optimism for technology. Gains respect and trust in Industry 4.0 technologies. Communicates a compelling technological vision and motivates and inspires others to fulfill this.

Project and Product Management - Develops robust project plans and effectively coordinates tasks; communicates changes and progress to key stakeholders; completes projects on time and budget; successfully manages project team activities.

Innovation -
Strategic Thinking -


Role involves travel ability globally.

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