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- Tasks: Join our Analytics team as a Data Scientist, driving data solutions and mentoring juniors.
- Company: Ocado Logistics is revolutionising shopping with innovative technology and passionate team members.
- Benefits: Enjoy flexible work, generous leave, private medical cover, and employee discounts.
- Why this job: Be part of a supportive culture that values your growth and impact on logistics.
- Qualifications: Strong problem-solving skills, SQL proficiency, and excellent communication are essential.
- Other info: Work hybrid in Hatfield, with 30 days of 'work from anywhere' policy.
The predicted salary is between 36000 - 60000 £ per year.
We wouldn’t be able to positively impact the way the world shops without our passionate team members - who keep our business running, our technology evolving, and our operations at peak efficiency. We now have an opportunity for a Data Scientist (DS3) to join our Analytics team. As a Data Scientist (DS3), you will play a crucial role in Ocado Logistics' research focus, providing technical excellence and driving high-quality data solutions. You will be a key contributor to your team’s delivery, ensuring that our analytics capabilities support business decisions effectively.
You Will Be Responsible For:
- Defining research scope, delivery approach, and ensuring high-quality outputs.
- Leading data science initiatives within your area, mentoring junior team members, and shaping best practices.
- Working closely with stakeholders to understand requirements, validate assumptions, and define effective solutions.
- Querying data using SQL and other tools, applying advanced statistical techniques, and ensuring data quality.
- Developing and maintaining production-ready models, following software engineering best practices.
- Communicating technical findings effectively through reports, visualizations, and presentations.
About You – Requirements to Be Considered:
- Strong problem-solving skills with deep expertise in data analysis and research.
- Proficiency in SQL and other data manipulation tools, with experience in statistical analysis.
- Ability to design, scope, and evaluate data science projects independently.
- Excellent communication skills, with the ability to collaborate across teams and influence stakeholders.
- A proactive and adaptable approach, with a passion for continuous improvement and knowledge sharing.
What You Can Expect in Return:
- Flexible Work: Enjoy 30 days of 'work from anywhere' policy for a balanced life.
- Wellbeing Support: Access dedicated apps and an Employee Assistance Programme.
- Generous Leave: Start with 25 days of annual leave, increasing to 27 after five years, with the option to buy more.
- Pension Plan: Employer contribution matching up to 7%.
- Private Medical Cover and comprehensive healthcare benefits.
- Family-Friendly Benefits, including maternity, adoption, shared parental, and paternity leave.
- Financial Aid: Interest-free train tickets and Cycle to Work Scheme.
- Shuttle Services: Free shuttle buses for convenient commuting.
- Share Schemes and employee discounts, including 15% off Ocado.com.
Join Ocado Logistics today and become part of a culture that values and supports your growth at every stage of your career.
Equal Opportunities Statement: Ocado Group is an equal opportunities employer and ensures that all potential employees are treated fairly and equally, regardless of sex, marital status, national origin, belief, or union membership status.
Data Scientist employer: ZipRecruiter
Contact Detail:
ZipRecruiter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in data science, particularly in logistics. Understanding how data analytics is transforming the industry will help you speak confidently about your insights during interviews.
✨Tip Number 2
Network with current employees or alumni who work at Ocado. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach when discussing your fit for the role.
✨Tip Number 3
Prepare to discuss specific projects where you've applied SQL and statistical analysis. Be ready to explain your thought process and the impact of your work, as this will demonstrate your problem-solving skills and technical expertise.
✨Tip Number 4
Showcase your communication skills by practising how to present complex data findings in a clear and engaging manner. This is crucial for collaborating with stakeholders and influencing decisions within the team.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, SQL proficiency, and any statistical techniques you've used. Emphasise your problem-solving skills and any leadership roles you've taken on, especially mentoring junior team members.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how it aligns with Ocado's mission. Mention specific projects or experiences that demonstrate your ability to define research scope and deliver high-quality outputs.
Showcase Technical Skills: Clearly outline your technical skills in SQL and other data manipulation tools. Provide examples of how you've applied advanced statistical techniques in previous roles, and mention any production-ready models you've developed.
Prepare for Communication: Since excellent communication skills are crucial for this role, prepare to discuss how you've effectively communicated technical findings in the past. Think about examples where you've influenced stakeholders or collaborated across teams.
How to prepare for a job interview at ZipRecruiter
✨Showcase Your Problem-Solving Skills
As a Data Scientist, you'll need strong problem-solving abilities. Prepare examples of past projects where you tackled complex data challenges and explain your thought process clearly.
✨Demonstrate Technical Proficiency
Be ready to discuss your experience with SQL and other data manipulation tools. You might be asked to solve a technical problem on the spot, so brush up on your skills and be prepared to showcase your knowledge.
✨Communicate Effectively
Since communication is key in this role, practice explaining technical concepts in simple terms. Be prepared to discuss how you've communicated findings in previous roles, using visualisations or reports.
✨Understand the Company Culture
Research Ocado's values and culture. Be ready to discuss how your personal values align with theirs, especially regarding innovation and continuous improvement, which are crucial for this position.
