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- Tasks: Lead data science projects, develop machine learning models, and analyse complex business problems.
- Company: Join Ocado Logistics, a leader in innovative technology and customer experience.
- Benefits: Flexible work, generous leave, private medical cover, and exclusive employee discounts.
- Why this job: Make a real impact on how the world shops with cutting-edge data solutions.
- Qualifications: Extensive SQL and Python experience, plus strong stakeholder management skills.
- Other info: Dynamic, supportive culture with excellent career growth opportunities.
The predicted salary is between 43200 - 72000 £ per year.
Please note: Candidates must already have the right to work in the UK; this position is not eligible for visa sponsorship now or in the future.
Why Ocado? Here at Ocado Logistics it’s our mission to provide an outstanding customer experience for our partners, developing ground-breaking technology, opening multiple sites at an accelerating rate and engaging in exciting new business partnerships around the world - changing the way the world shops, for good. We are the beating heart of our UK business and comprise a network of cutting edge warehouses and offices across the country that ensure that we optimise the experience and use our proprietary technology across the supply chain to deliver an exceptional shopping experience.
About the role: We wouldn’t be able to positively impact the way the world shops without our passionate team members - who keep our business running, our vans delivering, our customers' products picked and packed and our proprietary technology operating at optimum levels. This role forms part of the function that underpins Ocado Logistics’ data science and machine learning focus, providing technical excellence and being a key contributor to your team and domain’s delivery. In this role, you will be a go-to person for your domain area, with deep expertise, strong problem solving and knowledge sharing. You’ll be working with others to find great solutions and taking an active role in data research and analysis across your area.
You will be accountable for project scope, delivery approach and project outputs, including appropriate timeliness and quality. Develop other data scientists around you into more capable and experienced people. Collaborate with other teams to understand stakeholder needs well and find ways to meet them within the given technical constraints. Query data using SQL and other appropriate data manipulation tools. Explore available data leveraging Python expertise to answer complex business questions. Define sensible business metrics for complex business problems. Apply sophisticated statistical techniques, and advise as to scientific best practice. Perform detailed data visualisations. Produce reports and presentations for stakeholders and use data to influence decisions. Responsible for implementing complex algorithms within your area of expertise. Develop and iterate prototype solutions in line with your team’s standards.
About you: Extensive experience of working with both SQL and Python. Experience of developing and deploying machine learning models. Strong stakeholder and business partner management. Have used data to make recommendations and influence. Have worked in a high volume, fast paced data environment.
What you can expect to receive in return: At Ocado we believe in a workplace where everyone feels valued and supported, so you’ll find a safe and collaborative atmosphere that is as fresh as our produce as well as an award winning recognition programme and benefits package that includes a healthy work-life balance, extensive healthcare coverage, competitive salaries, and exclusive employee discounts.
- Flexible Work: Enjoy 30 days of 'work from anywhere' policy for a balanced life.
- Wellbeing Support: Access dedicated apps and an Employee Assistance Programme for holistic well-being.
- Generous Leave: Begin with 25 days, growing to 27 after 5 years, with an option to buy more.
- Pension Plan: Secure your future with our pension scheme, featuring up to 7% employer contribution matching.
- Private Medical Cover: Rest easy with comprehensive private medical insurance.
- Family-Friendly: We support your family with maternity, adoption, shared parental leave, and paternity leave.
- Financial Aid: Get interest-free train tickets and join our Cycle to Work Scheme.
- Shuttle Services: Convenient free shuttle buses connect you to work.
- Share Schemes: Join exciting share plans to participate in our success.
- Shopping Perks: Enjoy a 15% discount on Ocado.com and savings at popular retailers and restaurants.
- Financial Protection: We offer Income Protection and Life Insurance for financial security.
Join Ocado Logistics today and become a part of a culture that wholeheartedly values and supports your well-being throughout every stage of your career. Ocado Group is an equal opportunities employer and as such makes every effort to ensure that all potential employees are treated fairly and equally, regardless of their sex, sexual orientation, marital status, race, colour, nationality, ethnic or national origin, religion or belief, age, or disability or union membership status.
Senior Data Scientist in Hatfield employer: Ocado Technology Group
Contact Detail:
Ocado Technology Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in Hatfield
✨Tip Number 1
Network like a pro! Reach out to current employees at Ocado on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your application process. It’s all about making connections!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and Python skills. Be ready to showcase your problem-solving abilities with real-world examples. We want to see how you can apply your expertise to tackle complex business questions.
✨Tip Number 3
Don’t forget to highlight your collaboration skills! Ocado values teamwork, so be sure to share instances where you’ve worked with others to achieve a common goal. Show us how you can contribute to our passionate team.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, you’ll find all the latest opportunities there. Let’s get you on board with Ocado Logistics!
We think you need these skills to ace Senior Data Scientist in Hatfield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with SQL and Python, and showcase any machine learning models you've developed. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how you can contribute to our mission at Ocado. Be sure to mention specific projects or experiences that relate to the role.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex business problems using data. We love seeing candidates who can think critically and come up with innovative solutions, so don't hold back!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you'll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Ocado Technology Group
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools to solve complex problems, as this will show your technical expertise and how you can contribute to their data science initiatives.
✨Understand the Business Impact
Research Ocado's business model and think about how data science plays a role in enhancing customer experience. Prepare examples of how you've used data to influence decisions in previous roles, as this will demonstrate your understanding of stakeholder needs and your ability to drive results.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving skills. Practice articulating your thought process when tackling data-related challenges, and be ready to explain how you would approach developing and deploying machine learning models in a fast-paced environment.
✨Showcase Your Collaboration Skills
Since the role involves working with various teams, be prepared to discuss your experience in collaborating with stakeholders. Highlight instances where you've successfully communicated complex data insights to non-technical audiences, as this will showcase your ability to bridge the gap between data science and business needs.