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- Tasks: Lead innovative data analytics projects and create impactful dashboards for clients.
- Company: Join a boutique consulting firm transforming industries with strategic data solutions.
- Benefits: Enjoy flexible working options and a dynamic, entrepreneurial environment.
- Why this job: Be part of a creative team driving change in high-impact sectors like Life Sciences.
- Qualifications: Experience in data strategy, analytics consulting, and proficiency in SQL, Python, or R required.
- Other info: Opportunity to work on unique projects and develop cutting-edge data capabilities.
The predicted salary is between 48000 - 72000 ÂŁ per year.
About Us - We are a boutique management consulting firm specialising in providing strategic advisory and transformation support to clients across Life Sciences, Manufacturing and Infrastructure sectors. Based in the UK, our team works closely with large organisations to drive impactful change through conceptualisation, design and implementation of company-wide Transformation programs. We pride ourselves on delivering creative, results-oriented solutions and are seeking an experienced Data Lead to drive the next level of growth in the Data Capability. You will have an extensive background in delivering innovative, tailored data driven solutions combined with insight generation.
- Advanced Analytics Delivery: Lead end‑to‑end data analytics projects—data exploration, feature engineering, model development (ML/AI), validation, and deployment—tailored to solving client business problems.
- Analytics Framework & Playbooks: Co‑create repeatable playbooks for common analytics problems (budget forecasting, customer segmentation, price/volume analysis), including code templates, visualization standards, and deployment guidelines.
- Insight Packaging & Storytelling: Architect and implement dashboards, reports, and narrative templates that translate complex model outputs into concise, actionable recommendations using different tools including Power BI or Tableau.
- Leverage cloud data processing frameworks like Databricks, or similar for handling, processing, and analysing complex, high-volume data from a wide variety of corporate structured and unstructured sources, 3rd party providers and publicly available data.
- Technology & Infrastructure Advisory: Assess and recommend data science tooling, platform architecture (cloud/on‑premise), and MLOps practices to ensure scalable, maintainable analytics pipelines (including API calls to various services).
- Extensive experience in data strategy and analytics consulting, ideally working with management consultancies or a leading analytics-focused consulting firm.
- Strong understanding of data governance, data architecture, data analytics, and AI/ML technologies.
- Excellent communication and storytelling skills—able to simplify technical concepts and craft compelling data‑driven narratives.
- Certifications in cloud (AWS/GCP/Azure) or BI tools (Tableau, Power BI).
- Demonstrable knowledge of data, technology and one or more data-focused programming languages such as SQL, Python, R.
- Excel in a fast-paced, entrepreneurial environment with high achievers and demanding client expectations.
- Self-discipline for planning and organising tasks, and delivering in an unstructured environment.
- Excellent communication, leadership, and stakeholder management skills, with a track record of delivering complex projects in fast-paced environments.
- Willingness to work outside of normal business hours, and in particular as unique projects/needs arise.
Data Science and AI Lead employer: Dune Advisors
Contact Detail:
Dune Advisors Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science and AI Lead
✨Tip Number 1
Familiarise yourself with the latest trends in data science and AI, especially those relevant to the Life Sciences, Manufacturing, and Infrastructure sectors. This knowledge will help you engage in meaningful conversations during interviews and demonstrate your understanding of the industry.
✨Tip Number 2
Showcase your experience with cloud data processing frameworks like Databricks. Be prepared to discuss specific projects where you've successfully implemented these technologies, as this will highlight your hands-on expertise and problem-solving skills.
✨Tip Number 3
Prepare examples of how you've created impactful dashboards and reports using tools like Power BI or Tableau. Being able to articulate your process for translating complex data into actionable insights will set you apart from other candidates.
✨Tip Number 4
Network with professionals in the consulting and data analytics fields. Attend industry events or webinars to connect with potential colleagues and learn more about the challenges they face, which can provide valuable context for your application.
We think you need these skills to ace Data Science and AI Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science and analytics. Focus on projects where you've led data-driven solutions, showcasing your skills in ML/AI, data governance, and storytelling.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the role and how your background aligns with the company's mission. Mention specific experiences that demonstrate your ability to drive impactful change through data.
Showcase Technical Skills: Clearly list your technical skills, including programming languages like SQL, Python, or R, and any relevant certifications in cloud platforms or BI tools. Provide examples of how you've applied these skills in previous roles.
Prepare for Insight Packaging: Be ready to discuss how you would approach creating dashboards and reports. Think about how you can translate complex data into actionable insights, and be prepared to share examples of your past work in this area.
How to prepare for a job interview at Dune Advisors
✨Showcase Your Data Expertise
Be prepared to discuss your extensive background in data analytics and AI. Highlight specific projects where you've led end-to-end analytics initiatives, focusing on the impact of your work on client business problems.
✨Demonstrate Storytelling Skills
Since the role requires excellent communication and storytelling abilities, practice explaining complex data concepts in simple terms. Prepare examples of how you've translated data insights into actionable recommendations for clients.
✨Familiarise with Tools and Technologies
Brush up on your knowledge of tools like Power BI, Tableau, and cloud platforms such as AWS, GCP, or Azure. Be ready to discuss how you've used these technologies in past projects and how they can be applied to the firm's needs.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think about common analytics challenges and how you would approach creating playbooks or frameworks to address them effectively.
