At a Glance
- Tasks: Lead data science projects to solve complex retail and consumer problems using machine learning.
- Company: A leading UK consultancy focused on AI and Data Science in Retail.
- Benefits: Competitive salary, hands-on experience, and the chance to make a real impact.
- Other info: Join a growing team with opportunities for career advancement and mentorship.
- Why this job: Shape solutions from start to finish and see your work drive measurable business results.
- Qualifications: Experience in data science, Python, and a passion for solving commercial challenges.
The predicted salary is between 66150 - 80850 £ per year.
Do you want your data science work to have a measurable impact on revenue, margin and customer experience? Do you enjoy solving complex pricing, forecasting and operational problems using machine learning? Would you like to own solutions from initial client problem through to implementation and measurable impact?
A leading UK consultancy is scaling its dedicated AI & Data Science capability, with a major focus on Retail and Consumer Services. Their teams embed directly with large organisations to solve commercially important problems using data, AI and operational change. Previous work has included AI-powered markdown optimisation delivering a £40m revenue uplift and supplier cost modelling across 300 factories and 16 brands. This is an opportunity to join a growing capability where technical delivery and commercial impact carry equal weight.
You’ll lead hands-on Data Science projects across areas including pricing, forecasting, supply chain and operational optimisation, working directly with client stakeholders. You’ll have ownership from shaping the initial problem through to building, deploying and embedding solutions into business decision-making.
Key Responsibilities
- Build and deploy machine learning and optimisation solutions for retail and consumer clients
- Solve commercial problems across pricing, forecasting, supply chain and operations
- Use Python and advanced analytics to turn complex datasets into actionable solutions
- Work directly with stakeholders to define problems, KPIs and delivery priorities
- Own projects from technical design through to implementation and measurable business impact
- Lead technical delivery and support the development of junior Data Scientists
Working model: 3+ days/week on client sites across the UK
Tech stack: Python, SQL, ML, optimisation, Databricks and modern data tooling
Lead Data Science Consultant - Retail/Consumer Services employer: Harnham
As a leading specialist data consultancy, we pride ourselves on fostering a collaborative and innovative work culture that empowers our Analytics Engineering Consultants to thrive. With a focus on professional development, we offer extensive growth opportunities and the chance to work on high-impact projects across diverse industries, all while enjoying the flexibility of remote work in the UK. Join us to be part of a team that values your expertise and encourages you to influence strategy and drive meaningful change for our clients.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Science Consultant - Retail/Consumer Services
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Harnham!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Data Science Consultant - Retail/Consumer Services at Harnham.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Harnham.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Science Consultant - Retail/Consumer Services at Harnham, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead Data Science Consultant - Retail/Consumer Services
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Harnham, 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 Harnham. 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 Harnham
✨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!
✨Showcase Your Projects
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 Harnham!
✨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.
