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- Tasks: Lead data science projects from concept to delivery, focusing on machine learning and GenAI.
- Company: Join a forward-thinking company transforming data into actionable insights.
- Benefits: Enjoy remote work flexibility and opportunities for professional growth.
- Why this job: Be at the forefront of innovation, mentoring others while tackling exciting challenges.
- Qualifications: Strong experience in data science, Python proficiency, and expertise in NLP and speech-to-text.
- Other info: This is a hands-on leadership role ideal for those passionate about data-driven decision-making.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Lead Data Scientist
2 days ago Be among the first 25 applicants
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
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Lead Data Scientist employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist
✨Tip Number 1
Familiarise yourself with the latest advancements in LLMs and NLP technologies. Being well-versed in current trends will not only boost your confidence during discussions but also demonstrate your commitment to staying ahead in the field.
✨Tip Number 2
Showcase your leadership skills by preparing examples of how you've successfully managed data science projects in the past. Highlighting your ability to lead teams and deliver results will make you stand out as a candidate.
✨Tip Number 3
Network with professionals in the data science community, especially those who have experience in speech-to-text applications. Engaging in conversations can provide valuable insights and may even lead to referrals for the position.
✨Tip Number 4
Prepare to discuss how you translate complex data into actionable business insights. Being able to articulate this process clearly will show that you can bridge the gap between technical and non-technical stakeholders effectively.
We think you need these skills to ace Lead Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data science projects, particularly those involving machine learning, NLP, and speech-to-text technologies. Use specific examples to demonstrate your proficiency in Python and your ability to manage end-to-end projects.
Craft a Compelling Cover Letter: In your cover letter, emphasise your leadership skills and your experience mentoring junior analysts. Discuss how you can bring clarity to complex data challenges and provide insights that drive business outcomes. Make it personal and show your enthusiasm for the role.
Showcase Relevant Projects: Include a section in your application that showcases relevant projects you've worked on. Detail your role, the technologies used, and the impact of the project. This will help demonstrate your hands-on expertise and strategic thinking.
Prepare for Technical Questions: Be ready to discuss your technical skills in detail, especially around Python, NLP, and speech-to-text systems. Prepare to explain your approach to model selection and integration into business applications, as well as how you communicate technical concepts to non-technical stakeholders.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Python and data science libraries in detail. Highlight specific projects where you've developed machine learning solutions, especially those involving NLP and speech-to-text technologies.
✨Demonstrate Leadership Skills
Since this is a hands-on leadership role, be ready to share examples of how you've led cross-functional teams. Discuss how you managed project timelines and ensured high-quality delivery while mentoring junior team members.
✨Communicate Clearly
Strong communication skills are essential for this position. Practice explaining complex technical concepts in simple terms, as you'll need to convey insights to both technical and non-technical stakeholders.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you've faced in previous projects and how you approached them, particularly in fast-paced environments.
