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- Tasks: Work on exciting data projects, transforming messy datasets into actionable insights.
- Company: Join a vibrant boutique strategy consultancy in London, making a real impact.
- Benefits: Enjoy a competitive salary, bonuses, hybrid working, and fast-tracked career growth.
- Why this job: Perfect for those wanting to blend data science with client interaction and diverse challenges.
- Qualifications: Experience in consulting or strong client-facing skills; proficient in SQL or Python.
- Other info: Opportunity to develop Gen-AI expertise while working in a collaborative team.
The predicted salary is between 55000 - 75000 £ per year.
Ready to take your data science expertise into a client-facing, high-impact role? Join a dynamic boutique strategy consultancy in London where you’ll work directly with clients, solving complex data challenges and shaping data-driven strategies that deliver real value.
What you’ll be doing:
- Working as part of a growing client-facing data science practice on varied, high-profile projects
- Wrangling and cleansing data using SQL or Python, turning large, messy datasets into clean, model-ready data
- Understanding the story behind the data, identifying gaps, inconsistencies, and challenges
- Advising clients on modelling techniques, explaining why you’d choose one model over another, outlining pros, cons, and trade-offs
- Translating technical insights into clear, actionable recommendations for both technical and business stakeholders
What we’re looking for:
- Consulting experience — ideally within strategy, management, or data science consulting, or strong client-facing/stakeholder management experience where you’ve delivered data-driven solutions
- Strong SQL or Python skills for data wrangling and preparation
- Confidence working with large, messy datasets, with the ability to spot and solve potential data issues
- Excellent communication skills, able to explain technical decisions clearly to technical and non-technical audiences
Why join?
- £55,000 – £75,000 depending on experience, plus bonus
- Accelerated career progression, with fast track to senior roles
- Opportunity to build Gen-AI expertise and broaden your data science toolkit
- Diverse, client-facing project work across industries
- Collaborative team environment with high visibility and impact
Location: London (hybrid working available)
Apply today or message us for a confidential chat.
Data Science Consultant employer: Xpertise Recruitment
Contact Detail:
Xpertise Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Consultant
✨Tip Number 1
Familiarise yourself with the specific industries the consultancy works with. Research their recent projects and case studies to understand the types of data challenges they tackle. This knowledge will help you tailor your conversations during interviews.
✨Tip Number 2
Brush up on your SQL and Python skills, focusing on data wrangling techniques. Consider working on personal projects or contributing to open-source projects that involve cleaning and preparing datasets, as this practical experience can be a great talking point in interviews.
✨Tip Number 3
Practice explaining complex data concepts in simple terms. Since the role requires communicating with both technical and non-technical stakeholders, being able to convey your insights clearly will set you apart from other candidates.
✨Tip Number 4
Network with professionals in the consulting and data science fields. Attend industry events or webinars to connect with current employees of the consultancy. This can provide valuable insights into the company culture and potentially lead to referrals.
We think you need these skills to ace Data Science Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science and consulting. Emphasise your skills in SQL and Python, and include specific examples of how you've solved data challenges in previous roles.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the Data Science Consultant role and how your background aligns with the company's needs. Mention your client-facing experience and your ability to communicate technical insights effectively.
Showcase Your Projects: If you have worked on notable projects involving data wrangling or modelling techniques, summarise these in your application. Highlight the impact of your work and any specific outcomes that demonstrate your expertise.
Prepare for Interviews: Be ready to discuss your technical skills and past experiences in detail. Prepare to explain your thought process when choosing modelling techniques and how you communicate complex data insights to non-technical stakeholders.
How to prepare for a job interview at Xpertise Recruitment
✨Showcase Your Consulting Experience
Make sure to highlight any previous consulting roles or client-facing experiences. Discuss specific projects where you delivered data-driven solutions, as this will demonstrate your ability to work effectively with clients and stakeholders.
✨Demonstrate Technical Proficiency
Be prepared to discuss your skills in SQL and Python. You might be asked to solve a data wrangling problem on the spot, so brush up on your technical knowledge and be ready to explain your thought process clearly.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. The interviewers will want to see that you can translate technical insights into actionable recommendations for both technical and non-technical audiences.
✨Prepare for Scenario-Based Questions
Expect questions that assess how you would handle real-world data challenges. Think about past experiences where you identified gaps or inconsistencies in data and how you resolved them, as well as the modelling techniques you would recommend.
