At a Glance
- Tasks: Lead global data science initiatives and drive AI transformation in a major consumer brand.
- Company: Globally recognised consumer and retail brand with a focus on innovation.
- Benefits: Competitive salary of £200k+, bonuses, and hybrid working options.
- Other info: Opportunity to influence senior leadership and drive change in a complex organisation.
- Why this job: Shape the future of data science and AI in a dynamic, international environment.
- Qualifications: Degree in a numerate subject and extensive experience in consumer data science.
The predicted salary is between 70000 - 90000 £ per year.
Omnis are exclusively partnered with a globally recognised consumer and retail brand as they embark on one of the most ambitious AI and data transformation programmes in the sector. As part of this evolution, the business is seeking an exceptional senior data science leader to take ownership of its global consumer data science capability, leading a high-profile function at the intersection of customer analytics, marketing effectiveness, commercial strategy and AI transformation.
This is a genuinely business-critical appointment, sitting at the centre of how the organisation understands, engages and grows its customer base across multiple international markets. The remit spans ownership of the global CoE for Data Science, encompassing a team of experts delivering consumer modelling, lifecycle and propensity models, pricing analytics and marketing data science, whilst also helping shape the future application of data science across buying, merchandising and planning functions.
Beyond technical expertise, this role requires an individual capable of influencing senior stakeholders across regions and functions, operating with a high degree of autonomy and acting as a trusted advisor to executive leadership teams. We're looking for someone who combines deep consumer and retail data science experience with exceptional communication skills, executive presence and the ability to drive change in a large, complex organisation.
Requirements include:
- Educated to at least degree level in a numerate subject such as Mathematics, Statistics, Engineering, Physics, Chemistry, Machine Learning etc.
- Extensive experience leading teams of Data Scientists within consumer environments; retail experience is essential for this role.
- Deep expertise across customer modelling, lifecycle analytics, propensity modelling and pricing.
- Exceptional stakeholder management and influencing capability.
- Experience operating at senior leadership or VP level within global organisations.
- A highly independent, commercially minded approach with the ability to shape strategy as well as execution.
Alongside this hire, the business is making significant investment into AI transformation and is actively rethinking how data science, AI engineering and automation capabilities will operate together in the future. For senior leaders looking to combine large-scale consumer data science with the opportunity to influence the next generation of AI-enabled decision making within a global brand, this represents a particularly compelling opportunity.
Director Data Science in Slough employer: Omnis Partners
As a Global Consumer Brand based in London, we pride ourselves on being an exceptional employer that champions innovation and growth. Our hybrid work culture fosters collaboration and flexibility, while our commitment to employee development ensures that you will have ample opportunities to advance your career within a dynamic and supportive environment. Join us to lead transformative data science initiatives that shape the future of consumer engagement across international markets.
StudySmarter Expert Advice🤫
We think this is how you could land Director Data Science in Slough
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We think you need these skills to ace Director Data Science in Slough
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Omnis Partners, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Omnis Partners. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Omnis Partners
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Omnis Partners!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
