At a Glance
- Tasks: Lead and optimise data science projects, creating impactful machine learning models.
- Company: Join a well-established eCommerce organisation in Leicester with a focus on data innovation.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
- Why this job: Shape the future of data science while influencing key business decisions.
- Qualifications: 4+ years as a Data Scientist with strong Python and SQL skills.
The predicted salary is between 70000 - 85000 £ per year.
We're partnering with a well‑established eCommerce organisation based in Leicester that is expanding its data capability. They're looking for a Technical Lead Data Scientist to play a key role in shaping, delivering, and scaling high‑impact data science solutions across the business. This is a hands‑on leadership role where you'll combine deep technical expertise with the ability to guide teams and influence senior stakeholders.
What you'll be doing:
- Lead end‑to‑end development, deployment, and optimisation of data science projects in a production environment.
- Design and build advanced machine learning models using customer data, including churn prediction, customer segmentation, and recommendation systems.
- Provide technical leadership and mentorship to data scientists, setting best practices and raising overall capability.
- Collaborate closely with stakeholders across the business, from C‑suite executives to junior team members, translating complex technical concepts into clear, actionable insights.
- Help shape the data science roadmap and contribute to strategic decision‑making within the organisation.
What we're looking for:
- 4+ years of commercial experience working as a Data Scientist.
- Strong programming skills in Python and SQL, with hands‑on experience using PyTorch and TensorFlow.
- Proven experience working on customer‑focused or personalisation‑driven data science problems (e.g., churn, recommendations, segmentation).
- Excellent communication skills, with the confidence to engage and influence both technical and non‑technical stakeholders.
- Experience leading projects or providing technical direction to others (formal leadership not essential).
Location: Leicester (Hybrid)
Employment type: Full‑time
Seniority level: Mid‑Senior
Industries: Retail Apparel and Fashion
Lead Data Scientist in Leicester employer: Harnham Search & Selection
Join a dynamic eCommerce organisation in Leicester that prioritises innovation and employee development. As a Lead Data Scientist, you'll benefit from a collaborative work culture that encourages creativity and offers ample opportunities for professional growth, all while working on impactful data science projects that shape the future of the business. With a hybrid work model and a focus on mentorship, this role provides a unique chance to influence both technical teams and senior stakeholders in a thriving retail environment.
Contact Details:
Harnham Search & Selection Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist in Leicester
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We think you need these skills to ace Lead Data Scientist in Leicester
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 Search & Selection, 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 Search & Selection. 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 Search & Selection
✨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 Search & Selection!
✨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.
