frog - Senior Consultant - Data Science (Customer Data) in London
frog - Senior Consultant - Data Science (Customer Data)

frog - Senior Consultant - Data Science (Customer Data) in London

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead data science projects and create innovative AI solutions for customer experiences.
  • Company: Join Capgemini Invent's frog team, a leader in data and AI consulting.
  • Benefits: Enjoy flexible working, competitive salary, and a focus on employee wellbeing.
  • Why this job: Make a real impact by transforming data into smarter, human-centric experiences.
  • Qualifications: Experience in data science, AI, and customer behaviour analytics required.
  • Other info: Collaborative 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 are 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 will 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 are 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 Senior Data Science 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. 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.
  • AI Delivery Excellence – Proven experience owning workstreams including planning, execution, and successful delivery of insights or AI/ML POCs, MVPs and production grade solutions.
  • 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.
  • Collaborative team player – Collaborate with cross‐functional teams to understand business challenges and create valuable products/solutions.
  • People Manager – People management skills, including mentoring, guiding, and developing junior team members.
  • Excellent Communicator – Ability to communicate complex ideas clearly, with excellent written and oral presentation skills, that engages internal and external audiences.
  • 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.
  • Familiarity with ethical considerations and best practices in AI and data science.

Need To Know

We actively go out to make inclusion 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 are focused on using tech to have a positive social impact. We are working to reduce our own carbon footprint and improve everyone's access to a digital world. In fact, we were named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you will 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 organisations 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.

frog - Senior Consultant - Data Science (Customer Data) in London employer: Consultancy.uk

At frog, part of Capgemini Invent, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and employee wellbeing. Our London-based team enjoys flexible working arrangements, comprehensive benefits, and ample opportunities for professional growth in the rapidly evolving fields of data science and AI, all while contributing to meaningful projects that drive sustainable customer experiences.
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Contact Detail:

Consultancy.uk Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land frog - Senior Consultant - Data Science (Customer Data) in London

Tip Number 1

Network like a pro! Reach out to current or former employees at frog through LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!

Tip Number 2

Prepare for the interview by brushing up on your data science skills. Be ready to discuss your experience with Generative AI and Large Language Models. We want to see how you can turn complex data into actionable insights!

Tip Number 3

Show off your collaborative spirit! During interviews, highlight examples of how you've worked with cross-functional teams. We love team players who can communicate complex ideas clearly.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the frog team!

We think you need these skills to ace frog - Senior Consultant - Data Science (Customer Data) in London

Generative AI
Large Language Models (LLM)
Customer Behaviour Analytics
Machine Learning
Predictive Modelling
Deep Learning
Data Visualisation (Power BI, Tableau)
Cloud Platforms for Data Science
Project Management
People Management
Communication Skills
Collaboration
Innovative Mindset
Analytical Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the role of Senior Consultant in Data Science. Highlight your experience with Generative AI and Large Language Models, as well as any relevant customer behaviour analytics you've done. We want to see how your skills align 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 our mission at frog. Be sure to mention specific projects or experiences that showcase your expertise.

Showcase Your Communication Skills: As an excellent communicator, it's important to demonstrate this in your application. Use clear and concise language, and make sure to present complex ideas simply. This will show us that you can engage both internal and external audiences effectively.

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 directly from us. Plus, it’s super easy to do!

How to prepare for a job interview at Consultancy.uk

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 Customer Experience Insight

Since the role focuses on customer behaviour analytics, prepare examples of how you've used data to enhance customer experiences. Think about metrics you’ve improved or insights that led to significant changes in strategy. This will demonstrate your ability to connect data science with real-world applications.

Be a Team Player

Highlight your collaborative skills during the interview. Share instances where you worked with cross-functional teams to solve problems or deliver projects. This is crucial as the role requires working closely with others to create valuable solutions.

Communicate Clearly

Practice explaining complex data concepts in simple terms. You might be asked to present your ideas or findings, so being able to communicate effectively is key. Use examples from your past work to illustrate your points and engage your audience.

frog - Senior Consultant - Data Science (Customer Data) in London
Consultancy.uk
Location: London

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