Data Scientist

Welcome to a new and exciting role at Husqvarna Group, where your passion for AI can truly make a difference.  

Here, we’re driving AI innovation with visible, business-focused applications that are transforming how we work. We’re shaping the future of innovation - and now we want you to be a part of it! 

About the role: 

As our new Data Scientist, you’ll be at the heart of our AI transformation, responsible for developing and implementing AI solutions that change the way we work as a company. Your role will be central in building the bridge between innovative technology and everyday application, and you’ll collaborate across departments, to ensure our teams are equipped and confident in leveraging AI solutions.  

As part of a cross-functional team, you’ll work closely with key stakeholders to deliver innovative, practical solutions. Our agile approach ensures that every project is hands-on, relevant and focused on real business needs. You’ll be a part of building AI applications that are scalable, impactful, and tailored to Husqvarna’s specific challenges. 

What You’ll Do: 

• Carry out end-to-end development and delivery of AI solutions including data pre-processing, data analysis, model building, fine tuning, deployment in cloud environments and maintenance. 

• Design, construct, install, test, and maintain data management systems to meet business requirements and industry practices. 

• Develop and implement scripts for database maintenance, deployment, and ETL operations. 

• Manage cloud services, particularly AWS and Azure, and other cloud storage systems relevant for the development of data and AI solutions. 

• Monitor data performance and modify infrastructure as needed to improve existing pipelines and models. 

• Collaborate with data architects, cloud architects, software developers and other IT specialists on project goals. 

• Assist in developing and documenting feature lists, user stories, and roadmaps aligned with the overarching product vision. 

• Collect and synthesize product feedback from stakeholders through data analysis, surveys, concept testing, analytics tools, and A/B testing. 

• Communicate complex concepts effectively to non-technical stakeholders. 

• Stay updated with the latest technology trends related to data science, data engineering and AI. 

• Be involved in execution of academic and research projects relevant from the overall Enterprise AI organization perspective. 

• Support ideation process during various internal and external ideation sessions with own technical and entrepreneurial approach and experience. 

• Proactively identify business opportunities through technology driven innovation. 

• Participate in knowledge sharing activities to elevate company on AI related topics. 

Who You Are: 

As the natural team player you are, you thrive on building strong relationships. You have great communication, presentation, collaboration, and teamwork skills, and shine when it comes to solving problems and making reliable decisions. You have the ability to translate business problems into data science solutions and with .strong problem-solving skills with a proactive approach. 

Efficient in prioritization and time management, you work seamlessly with cross-functional teams and stakeholders. Self-driven and curious, you bring an innovative approach to new technologies, especially AI and understand relevant cloud trends. Proven experience in multinational corporations and adept at collaborating with diverse, international teams. 

Your eagerness to learn keeps you current with industry trends. Balancing long-term goals with short-term needs, you drive success and innovation, and with a proactive mindset, you continuously push the boundaries of what’s possible. 

Your Qualifications: 

• Minimum of 8 years of experience in end-to-end development and delivery of data and AI solutions. 

• Familiarity with Databricks and experience with repository management tools like Git. 

• Preferable experience in working with Gen AI and chatbot / agents projects. 

• Minimum of 8 years of experience with cloud services: primarily AWS and / or Azure. 

• Strong knowledge of Python (including relevant libraries such as numpy, sci-kit learn, pandas, matplotlib, etc.), SQL, and experience in Java or Scala. 

• Experience with big data technologies such as Spark. 

• Good experience and knowledge of the principles, technologies, and algorithms of GenAI, AI, machine learning and operations research; ability to develop, implement, and deliver related systems, products, and services.  

Education and Experience: 

• Bachelor’s / Master’s / Ph.D. degree in Computer Science, Software Engineering, or a related field. 

• Proven experience as a Data Scientist, Data Engineer, Software Developer, or similar role. 

• Experience leading and collaborating on cross-functional projects to build products and address concerns in a collaborative and timely fashion. 

• Certifications in AI technologies would be an advantage. Experience in end-to-end development and delivery of software products in cloud environments is mandatory.

Location:  Location for this position is in Mumbai, India. 

But, with our hybrid working environment, you'll have the flexibility to work both onsite and remotely, promoting work-life balance for all team members. We meet in the office at least 2-3 days a week (50%). 

Your application: Ready to be part of something big? Apply as soon as possible but no later than Friday, 21st February 2025.  We apply ongoing selection.  

If you have any questions regarding the recruitment process please contact : Rajani Menon – rajani.menon@husqvarnagroup.com 

About Husqvarna Group:  
 
Husqvarna Group is the world’s largest producer of outdoor power products including robotic lawn mowers, garden tractors, chainsaws and trimmers. The Group is also the European leader in consumer watering products and one of the world leaders in cutting equipment and diamond tools for the construction and stone industries. The Group’s products and solutions are sold via dealers and retailers to both consumers and professional users in more than 100 countries. The head office is located in Stockholm, Sweden, and the share is listed on NASDAQ OMX Stockholm Exchange.

Last date to apply: