Data Science Specialist (12-month contract)
Data Science Specialist (12-month contract)
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Job Description
Were seeking a Data Science Specialist to join our team on a temporary contract (12 months). This role is ideal for a new graduate or early-career professional who is passionate about using data to solve complex business problems. The ideal candidate will apply statistical algorithmic and machine learning techniques to collect analyze and interpret large datasets. Youll play a key role in developing predictive models uncovering actionable insights and presenting your findings to stakeholders to drive informed business decisions.
Key Responsibilities
- Data Analysis & Modeling: Apply advanced statistical analysis and machine learning to large datasets to extract valuable insights and answer key business questions.
- Model Development: Design and implement predictive and prescriptive models for complex problems identifying opportunities for business improvement.
- Data Visualization & Reporting: Create clear and compelling data visualizations and reports to present complex results in an easily understandable format for both technical and non-technical audiences.
- Problem-Solving: Collaborate with various business units to understand their functions and interdependencies anticipating their data-related needs and providing solutions with appropriate supervision.
- Communication: Effectively communicate findings insights and model outputs to stakeholders through strong verbal and written communication.
- Troubleshooting: Use strong analytical and problem-solving skills to troubleshoot data-related issues and ensure data quality.
Qualifications :
Education & Experience
- Experience: 0-3 years of relevant experience in data science analytics or a related field.
- Education: Bachelors Degree is preferred ideally in Computer Science Engineering Mathematics Statistics or a related quantitative discipline.
Skills & Competencies
- Technical Skills: Working knowledge of data analysis and modeling techniques including statistics data mining and machine learning.
- Analytical Prowess: Strong analytical troubleshooting and problem-solving capabilities with a basic to moderate ability to identify and resolve issues with supervision.
- Communication: Excellent verbal and written communication skills with a focus on delivering exceptional customer service to internal and external stakeholders.
- Business Acumen: Some understanding of applicable system architectures and a familiarity with enterprise business processes including business unit functions and their interdependencies.
- Proactivity: Ability to anticipate user requirements and proactively identify opportunities for data-driven improvements
Additional Information :
What we can offer:
- Flexible working hours
- Attractive salary package
- Workplace & work hours flexibility
- Structured learning and development / Mentoring program
- International environment
- Events like International Womens Day Earth Day etc.
- A growing and welcoming team with a good spirit!
Who we are! - Our Story:
Every voice. Every day! Eight Values. One Team!
Being open to every voice every day brings our value of diversity to life and makes Avery Dennison a vibrant and engaging place to be. We understand diversity and equal opportunities as enrichment for our future-oriented work. Across our diverse global team every voice makes us stronger. When we listen to and learn from each other there is no limit to what we can achieve together. Each of us is unique and we appreciate bringing together different personalities and talents.
Avery Dennison is an equal-opportunity the EMEA region we have these Employee Resource Groups:
- EmpoWer - focusing on the engagement mentoring and promotion of women
- Mental Health - striving to provide a safe space for employees to discuss mental health issues in the workplace
- Unite - supporting the LGBTQI and ally community in the EMEA region
To find out more about all our employee resources groups globally as well as our Diversity Equity & Inclusion approach please go to our Diversity and Inclusion pages in the About Us section of our website: Avery Dennison we do what we love and we love what we do - Just click here and get to know us better: Life @ Avery Dennison ( Work :
No
Employment Type :
Full-time
Employment Type
Full-time
