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For Companies At a Glance
- Tasks: Lead innovative data and AI projects to transform customer experiences.
- Company: Join frog, part of Capgemini Invent, a leader in tech transformation.
- Benefits: Flexible working, competitive pay, and a focus on employee wellbeing.
- Why this job: Make a real impact using cutting-edge data and AI technologies.
- Qualifications: Experience in Generative AI, data science, and strong project management skills.
- Other info: Dynamic team culture with opportunities for personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
Since June 2021, frog is part of Capgemini Invent. frog partners with customer‑centric enterprises to drive sustainable growth, by building and orchestrating experiences at scale, while harnessing the power of data and technology. We’re inventing the future of customer experiences by delivering market‑defining business models, products, services, brand engagements and communications.
Join our frog data team and help shape the future of data and AI consulting. We help brands unlock the value and power of data and AI – through the lens of customer experience. You’ll work at the intersection of our solutions focusing on CX Data and AI, strategy, activation & personalisation, analytics, insights, measurement and advanced data science, turning complex data into transformative solutions that drive real impact. If you’re passionate about using data and AI to create smarter, more human experiences, this is your opportunity to lead change and make a difference.
An Overview Of The Role
We are seeking a highly skilled Managing Consultant with hands‑on experience, including at least 1-2 years in Generative AI (Gen AI) and Large Language Models (LLM) development and evaluation. The ideal candidate will have extensive experience in one (or more) of the following areas: customer behaviour analytics, marketing, commercial, web, or product analytics, and possess domain knowledge in marketing, customer, digital, and commercial sectors. Has commercial experience including responding to RFP/RFIs, drafting SOWs, costing up engagements and client negotiation. Additionally, the candidate should have strong project management and people management skills.
What We Look For
- Data Science & AI Expert – Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases. Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models.
- CX Data Experience - Hands‑on experience in customer behaviour analytics, marketing, commercial, web, or product analytics with core focus in customer experience. Experience in working with various data sets, including transactional/EPOS, digital, social and loyalty.
- Programming Experience - Skilled in using programming languages such as Python.
- Cloud Expertise - Knowledge of cloud platforms and tools for data science and machine learning.
- Data Visualisation Experience - Utilise visualisation tools such as Power BI or Tableau to present data insights effectively.
- Strong AI Delivery Leadership – Experience leading cross‑functional teams to understand business challenges and create valuable products/solutions, including planning, execution, and successful delivery of AI/ML POCs, MVPs and production grade solutions.
- Commercial Acumen - Commercial experience including responding to RFP/RFIs, drafting SOWs, costing up engagements and client negotiation. Experience building strong relationships with senior client stakeholders to identify and execute against new sales opportunities.
- People Manager - People management skills, including mentoring, guiding, and developing team members.
- Excellent Communicator – Strong written communication, presentation and data driven storytelling skills, with the ability to communicate complex ideas clearly to senior client stakeholders.
- Innovative Mind - A strong interest and experience with the latest advancements in data, AI, machine learning, and data science space.
It Would Be a Bonus If You Have
- Experience in primary growth sectors; CPR (Consumer Products & Retail), ETU (Energy, Utilities, and Telecommunications), and PS (Public Sector).
- Familiarity with Agentic AI development and use cases.
- Familiarity with ethical considerations and best practices in AI and data science.
Need To Know
We don’t just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring your whole self to work. We aim to build an environment where employees can enjoy a positive work‑life balance. We embed hybrid working in all that we do and make flexible working arrangements the day‑to‑day reality for our people. All UK employees are eligible to request flexible working arrangements.
Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce as a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.
We’re also focused on using tech to have a positive social impact. So, we’re working to reduce our own carbon footprint and improve everyone’s access to a digital world. It’s something we’re really serious about. In fact, we were even named as one of the world’s most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you’ll join a team that does the right thing.
Whilst you will have London as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.
We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent on grade and on company and personal performance.
About Capgemini Invent
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end‑to‑end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.
Managing Consultant - Data Science (Customer Data) in London employer: Frog
Contact Detail:
Frog Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Managing Consultant - Data Science (Customer Data) in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the data science and AI space. Attend meetups, webinars, or industry events. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Generative AI and customer behaviour analytics. Use platforms like GitHub to share your code and visualisations. This gives potential employers a taste of what you can do!
✨Tip Number 3
Prepare for interviews by practising common questions related to data science and AI. Think about how you can demonstrate your experience with LLMs and customer experience analytics. Mock interviews with friends can help you feel more confident and ready.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged. So, get your application in and let’s make some magic happen together!
We think you need these skills to ace Managing Consultant - Data Science (Customer Data) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Managing Consultant - Data Science. Highlight your experience with Generative AI and Large Language Models, as well as any relevant customer behaviour analytics skills. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and AI, and how you can contribute to shaping customer experiences. Be genuine and let your personality come through – we love seeing the real you!
Showcase Your Projects: If you've worked on any cool projects related to data science or AI, make sure to mention them! Whether it's a personal project or something from your previous job, we want to know how you've applied your skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, you'll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Frog
✨Know Your Data Science Stuff
Make sure you brush up on your knowledge of Generative AI and Large Language Models. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your CX Experience
Since the role focuses heavily on customer experience, prepare examples of how you've used data analytics to improve customer interactions. Think about metrics you’ve influenced and be ready to explain how your insights led to tangible results.
✨Master the Art of Communication
You’ll need to communicate complex ideas clearly, so practice explaining your past projects in simple terms. Use storytelling techniques to make your experiences relatable and engaging, especially when discussing data-driven insights.
✨Prepare for Commercial Conversations
Familiarise yourself with the commercial aspects of the role, like responding to RFPs and drafting SOWs. Be prepared to discuss how you've successfully negotiated with clients or stakeholders in the past, as this will demonstrate your business acumen.
