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For Companies At a Glance
- Tasks: Analyse data to drive insights and enhance service operations with AI.
- Company: Join Toshiba Global Commerce Solutions, a leader in retail technology.
- Benefits: Enjoy health coverage, generous holidays, and employee discounts.
- Why this job: Make an impact in the retail tech space while collaborating with innovative teams.
- Qualifications: Bachelor's degree in Data Science or related field; strong analytical skills required.
- Other info: Dynamic work environment with a commitment to diversity and inclusion.
The predicted salary is between 30000 - 50000 £ per year.
Toshiba Global Commerce Solutions is seeking a Data Scientist I. The Data Scientist is a key member of the Toshiba Maintenance Services Engineering team supporting our products sales global services and leadership organizations with insights derived from customer Service Request (SR) data. This role also leads the exploration and management of Generative AI use cases that can enhance our service operations. The ideal candidate is passionate about applying AI models and data science techniques to generate actionable insights that improve operational efficiency, customer satisfaction, and service innovation. Working within a collaborative environment, the Data Scientist partners with engineers, product managers, and maintenance service planners to extract, analyse, visualise, and communicate data-driven intelligence based on Toshiba Field Technicians and Client Advocates' use of AI-powered platforms.
Required Qualifications & Skills
- Bachelors degree in Computer Science, Data Science or a related field.
- Strong experience using statistical analysis and modelling to evaluate AI platform usage and its impact on field performance.
- Proficiency in statistical programming languages such as Python and SQL for manipulating and analysing large data sets.
- Demonstrated ability to use advanced statistical techniques (e.g. regression, statistical testing, distribution analysis) for applied data analysis.
- Experience with data visualisation tools such as Tableau or Power BI to present complex findings clearly.
- Understanding of AI / ML integration into ITIL-based Incident Management processes.
- Excellent communication and presentation skills for technical and non-technical audiences.
- Strong interest in learning about the retail technology landscape including compliance, seasonality, and hardware service operations.
Key Responsibilities
- Assess the effectiveness and accuracy of new data sources and data collection methods.
- Review and provide quality feedback on custom-developed data models and algorithms applied to existing data sets.
- Influence the roadmap for proprietary data collection agents, methodologies, and best practices.
- Collaborate across internal teams to ensure consistency and integrity in all Maintenance Services data sources.
- Gather Voice of Field (VOF) input from Toshiba Field Service Technicians and Customer Advocates to identify new AI-driven use cases that add business value.
Leadership & Client-Facing Responsibilities
- Translate business requirements into functional, technical, and data-driven solutions.
- Propose and design solutions that create measurable business value using available data assets.
- Communicate insights, performance metrics, and solution effectiveness to Maintenance Service leadership.
- Provide best practice guidance to internal stakeholders to drive adoption and optimise AI platform usage.
Other Duties
- Perform other related duties and responsibilities as assigned.
Working Relationships
The Data Scientist will collaborate closely with:
- Engineering teams developing AI and analytics capabilities.
- Product Managers and Service Planners driving data-driven decision-making.
- Toshiba Field Technicians, Client Advocates, and Service Leadership stakeholders.
Benefits
- Group health coverage (medical, dental & vision)
- Employee Assistance Programs
- Company provided life insurance
- Employee discounts
- Generous paid holiday schedule, paid vacation & sick/personal days
EEO Statement
Toshiba Global Commerce Solutions is an equal opportunity / affirmative action employer that evaluates qualified applicants without regard to age, ancestry, colour, religious creed, disability, marital status, medical condition, genetic information, military or veteran status, national origin, race, sex, gender, gender identity, gender expression, and sexual orientation or any other protected factor. We also consider qualified applicants regardless of criminal histories consistent with legal requirements. Individuals who need a reasonable accommodation because of a disability for any part of the employment process should email to request an accommodation.
Diversity, Equity & Inclusion
We at Toshiba Global Commerce Solutions firmly believe that our people are an integral part of the success of our customers. Furthermore, we’re committed to Diversity, Equity, and Inclusion for all our people as highlighted by our 5 Core Principles (Create, Outreach, Foster Belonging, Unleash Opportunity, Diverse Cultural Engagement, and Culture of Transparency). We’re passionate about our customers, the retail industry, and becoming a more responsible company as we help create a brighter future.
Employment Details
Employment Type: Full Time
Vacancy: 1
Experience: years
Data Scientist I in North East employer: External
Contact Detail:
External Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist I in North East
✨Tip Number 1
Network like a pro! Reach out to current employees at Toshiba or in the data science field. Use LinkedIn to connect and ask for informational chats. It’s all about making those connections that can lead to opportunities.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, SQL, and data visualisation tools like Tableau. Show us how you can turn data into actionable insights!
✨Tip Number 3
Don’t just wait for job postings! Keep an eye on our website and apply directly. Sometimes, the best opportunities come from being proactive and showing your enthusiasm for the role.
✨Tip Number 4
Practice your communication skills. You’ll need to explain complex data findings to both technical and non-technical audiences. Try explaining your past projects to friends or family to get comfortable!
We think you need these skills to ace Data Scientist I in North East
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Scientist I role. Highlight your proficiency in Python, SQL, and any data visualisation tools you've used, as these are key for us.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and data science. Share specific examples of how you've applied statistical techniques or worked on projects that improved operational efficiency.
Showcase Your Communication Skills: Since you'll be working with both technical and non-technical teams, it's important to demonstrate your ability to communicate complex ideas clearly. Use your application to show us how you can bridge that gap.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process.
How to prepare for a job interview at External
✨Know Your Data Science Stuff
Make sure you brush up on your statistical analysis and programming skills, especially in Python and SQL. Be ready to discuss how you've used these tools to evaluate AI platform usage and its impact on performance.
✨Visualisation is Key
Familiarise yourself with data visualisation tools like Tableau or Power BI. Prepare to showcase how you've presented complex findings clearly in the past, as this will be crucial for communicating insights to both technical and non-technical audiences.
✨Collaborate Like a Pro
Since this role involves working closely with engineers and product managers, think of examples where you've successfully collaborated in a team. Highlight your ability to translate business requirements into data-driven solutions that create measurable value.
✨Stay Curious About Retail Tech
Show your enthusiasm for the retail technology landscape. Research current trends and challenges in the industry, and be prepared to discuss how your skills can contribute to Toshiba's vision of a seamless shopping experience.
