Data Scientist

Data Scientist

Full-Time 70000 - 90000 € / year (est.) No home office possible
Consulting Point

At a Glance

  • Tasks: Lead innovative Data Science projects and transform businesses with Agentic AI.
  • Company: Premier global management consultancy with a focus on AI and Analytics.
  • Benefits: Competitive salary, remote work options, and opportunities for professional growth.
  • Other info: Collaborative environment with a direct path to leadership roles.
  • Why this job: Join a top-tier team and make a real impact in the AI landscape.
  • Qualifications: Experience in consulting, advanced analytics, and proficiency in Python or R.

The predicted salary is between 70000 - 90000 € per year.

Location: UK Remote / Hybrid

Role Type: Permanent

Level: Senior Consultant, Manager, and Senior Manager

Sector: Data Science, Analytics & Agentic AI

The Opportunity

Consulting Point is seeking high-calibre Data Science professionals from Senior Consultant to Senior Manager level to join the specialist AI and Analytics practice of a premier global management consultancy. As organisations move from simply consuming data to requiring autonomous, insight-driven ecosystems, this team acts as the primary architect for "Agentic AI" transformation. These roles are designed for "Consultant-Scientists" who can bridge the gap between complex mathematical modelling and strategic business outcomes for FTSE 100 and major public sector clients.

The Mandate: Leading the Agentic Era

The practice is heavily invested in the transition from traditional Machine Learning to Agentic and Generative AI. Depending on your grade, your responsibilities will include:

  • Project Leadership: Leading the delivery of end-to-end Data Science and Agentic AI programmes, ensuring technical rigour meets commercial objectives.
  • Client Inspiration: Demonstrating the "Art of the Possible" to C-suite stakeholders through technical prototypes and evidence-led AI strategies.
  • Solution Architecture: Designing and deploying scalable models across the ML lifecycle, focusing on NLP, time-series analysis, and autonomous agent workflows.
  • Commercial Growth (Manager/Senior Manager): Identifying market opportunities, leading complex RFP responses, and developing new market-facing AI propositions.
  • Practice Building: Contributing to internal think-tanks, authoring whitepapers, and driving the recruitment and development of the junior engineering team.

Required Experience & Skills

  • Consulting Mandate: Recent and substantial experience within an established management consultancy or a dedicated internal transformation function is essential.
  • Advanced Analytics: A proven track record in statistical modelling, natural language processing (NLP), and mathematical modelling methodologies.
  • Agentic AI Focus: Demonstrated interest or experience in deploying Agentic frameworks to unlock business value.
  • Stakeholder Influence: The ability to simplify complex data landscapes into clear, actionable recommendations for non-technical leadership.

Technical Expertise

  • Languages: Proficiency in Python, R, or PySpark.
  • Platforms: Architectural knowledge of one or more major cloud environments (AWS, Azure, GCP) and Databricks.
  • Agentic & GenAI Frameworks: Familiarity with platforms such as Microsoft Copilot Studio, OpenAI Agents, Adept AI, or Beam AI.

Why Join This Practice?

This organisation prioritises a "science and data" approach, ensuring that every transformation is underpinned by purpose-built technology. You will join a mature, collaborative community that thrives on intellectual curiosity and is consistently recognised as a top-tier employer. For Senior Managers, this role offers a direct track to leadership within one of the UK’s fastest-growing AI consulting teams.

Data Scientist employer: Consulting Point

Consulting Point is an exceptional employer that champions a culture of collaboration and intellectual curiosity, making it an ideal environment for Data Science professionals. With a strong focus on employee growth, the company offers clear pathways to leadership roles and encourages contributions to innovative projects in Agentic AI. The remote and hybrid work options provide flexibility, allowing you to thrive while working with top-tier clients in a dynamic and supportive setting.

Consulting Point

Contact Detail:

Consulting Point Recruiting Team

StudySmarter Expert Advice🀫

We think this is how you could land Data Scientist

✨Tip Number 1

Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. Attend industry events or webinars to meet potential employers and showcase your expertise.

✨Tip Number 2

Prepare for those interviews by brushing up on your technical skills and understanding the latest trends in Agentic AI. We recommend practising common interview questions and even doing mock interviews with friends to build your confidence.

✨Tip Number 3

Showcase your projects! Create a portfolio that highlights your best work in data science, especially any projects related to NLP or machine learning. This will give you an edge when discussing your experience with potential employers.

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of exciting roles waiting for talented individuals like you. Keep an eye on our listings and make sure your application stands out by tailoring it to each role.

We think you need these skills to ace Data Scientist

Statistical Modelling
Natural Language Processing (NLP)
Mathematical Modelling
Agentic AI Frameworks
Project Leadership
Solution Architecture
Python

Some tips for your application 🫑

Tailor Your CV:Make sure your CV speaks directly to the role of Data Scientist. Highlight your experience with statistical modelling, NLP, and any Agentic AI projects you've worked on. We want to see how your skills align with our needs!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how you can bridge the gap between complex modelling and business outcomes. Keep it engaging and relevant to the role.

Showcase Your Projects:If you've led any data science projects or have prototypes that demonstrate your skills, make sure to mention them. We love seeing real-world applications of your work, especially if they relate to Agentic AI or ML lifecycle.

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates. Plus, it shows you're keen on joining our team!

How to prepare for a job interview at Consulting Point

✨Know Your Data Science Stuff

Make sure you brush up on your statistical modelling and NLP skills. Be ready to discuss specific projects where you've applied these techniques, especially in relation to Agentic AI. This will show that you not only understand the theory but can also apply it in real-world scenarios.

✨Showcase Your Consulting Skills

Prepare examples of how you've influenced stakeholders and simplified complex data for non-technical audiences. This is crucial for a role that involves client inspiration and project leadership. Think about times when your insights led to significant business outcomes.

✨Familiarise Yourself with the Tools

Get comfortable with Python, R, or PySpark, and be ready to discuss your experience with cloud platforms like AWS or Azure. If you've worked with Agentic frameworks, make sure to highlight this. The interviewers will want to know how you can leverage these tools in their projects.

✨Demonstrate Your Passion for AI

Express your enthusiasm for the transition from traditional Machine Learning to Agentic and Generative AI. Share any personal projects or research you've done in this area. Showing genuine interest can set you apart from other candidates.