Consultant - Data Science Generalist - London
Consultant - Data Science Generalist - London

Consultant - Data Science Generalist - London

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Support AI and Data Science projects, ensuring client expectations are met.
  • Company: Capgemini Invent drives transformation through data science and innovative solutions.
  • Benefits: Enjoy flexible working arrangements, wellbeing support, and a positive work-life balance.
  • Why this job: Join a leading team to tackle real-world challenges with cutting-edge data science methods.
  • Qualifications: Experience in AI, Data Science, and strong stakeholder management skills required.
  • Other info: Opportunities for personal growth and contributions to business development.

The predicted salary is between 43200 - 72000 £ per year.

Job Description

Consultant – Data Science Generalist – LondonReference Code: 303241-en_GBContract Type: PermanentProfessional Communities: Strategy & TransformationConsultant – Data Science GeneralistAt Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow.

Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

  In a world of globalisation and constant innovation organisations are creating, consuming, and transforming unprecedented volumes of data. We endeavour to work alongside our clients to extract and leverage key insights driven by our Data Science and Analytics expertise and capabilities. It’s an exciting time to join our Data Science Team as we grow together to keep up with client demand and launch offerings to the market.

In your role, you will partner with our clients to deliver outcomes through the application of cutting-edge data science methods. Your RoleIn this role you will play a key role in:  Supporting the delivery of our AI, Data Science and Analytics projects and working closely with your colleagues, ensure Client expectations are met at all stages. Inspiring our clients on exploiting the potential of Gen AI, data science and analytics in their businesses through demonstrations.  Developing and deploying new skills in the fields of AI, Data Science and Analytics, with support from your colleagues, to ensure that current methods are used where appropriate. Delivering work in a structured manner, finding a balance between creativity and practicality to ensure we meet client standards efficiently within the agreed timescales. Working effectively in a team, supporting your peers in delivering at pace and meeting our own high internal standards of output and delivery. As part of your role, you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories:  Business Development – Contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development – Training to support your career development and the skills demand within the company, certifications etc. Your ProfileWe’d love to meet someone with:  Experience in working within the fields of AI, Data Science and Analytics, with a proven track record of successfully delivered work across the ML lifecycle and a strong foundation in statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies. Keen to demonstrate the potential that Gen AI has to offer to unlock business value. A desire to provide solutions to the real-world issues and challenges with data that our clients face regularly. Strong stakeholder management and presentation skills, with experience in enabling clients to better understand and derive better value and insights from their data. Currently working in a major Consulting firm, and/or in industry but having a Consulting background with a proven ability to be successful in a matrixed organisation, and to enlist support and commitment from peers in selling and delivering consulting solutions.Architectural and/or feature knowledge of one or more of the listed Data and AI Platforms: Google Cloud Platform, Amazon Web Services, Microsoft Azure, Databricks.

Experience in one or more of the listed Languages or Packages: Python, R, Pyspark, Scala, PowerBI, Tableau.What you'll love about working here:Data Science Consulting brings an inventive quantitative approach to our clients’ biggest business and data challenges to unlock tangible business value by delivering intelligent data products and solutions through rapid innovation leveraging AI. We strive to be acknowledged as innovative and industry leading data science professionals and seek to achieve this by focusing on three area of the data science lifecycle:  Exploring the art of the possible with AI by combining domain knowledge and AI expertise to identify opportunities across industries and functions where AI can deliver value and by shaping AI/ML roadmaps, and ideation using use cases aligned with data science and business strategies. Accelerating impact with AI by enabling proof of value through prototypes and by translating complex AI concepts into practical solutions that democratise access and maximise business advantage for our clients. Scaling AI from lab to live by defining and implementing responsible AI design principles throughout the AI journey and establishing sustainable, resilient, and scalable AI/ML Ops architectures and platforms for integrating AI products and solutions into business processes for real-time decision making.  We are delighted to have received the “Glassdoor Best Places to work UK’ accolade for 5 consecutive years, to see what it’s like to work at Capgemini Invent, visit our Glassdoor page Need to know:At Capgemini 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 you 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 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. CSRWe’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, Manchester or Glasgow 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 grade and on company and personal performance. About CapgeminiCapgemini 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 350,000 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 2024 global revenues of €22.1 billion.

Consultant - Data Science Generalist - London employer: Capgemini

Capgemini Invent is an exceptional employer, renowned for its commitment to innovation and employee well-being. With a strong focus on work-life balance, flexible working arrangements, and a culture that champions inclusion, employees are empowered to thrive both personally and professionally. The London office offers unique opportunities for growth in the rapidly evolving fields of AI and Data Science, supported by comprehensive training and development programmes, making it an ideal environment for those seeking meaningful and rewarding careers.
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Contact Detail:

Capgemini Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Consultant - Data Science Generalist - London

✨Tip Number 1

Familiarise yourself with the latest trends in AI, Data Science, and Analytics. Being able to discuss current innovations and how they can be applied to real-world business challenges will set you apart during interviews.

✨Tip Number 2

Network with professionals in the field by attending industry events or webinars. This not only helps you learn more about the role but also gives you a chance to connect with potential colleagues or mentors at Capgemini.

✨Tip Number 3

Prepare to showcase your experience with specific data science tools and platforms mentioned in the job description. Be ready to discuss projects where you've successfully used Python, R, or cloud services like AWS or Azure.

✨Tip Number 4

Demonstrate your stakeholder management skills by preparing examples of how you've effectively communicated complex data insights to non-technical audiences. This is crucial for the consulting aspect of the role.

We think you need these skills to ace Consultant - Data Science Generalist - London

Data Science Expertise
Machine Learning Lifecycle Knowledge
Statistical Modelling
Natural Language Processing
Time-Series Analysis
Spatial Analysis
Mathematical Modelling
Gen AI Understanding
Stakeholder Management
Presentation Skills
Consulting Experience
Cloud Platform Knowledge (Google Cloud Platform, AWS, Microsoft Azure, Databricks)
Programming Skills (Python, R, Pyspark, Scala)
Data Visualisation Tools (PowerBI, Tableau)
Team Collaboration
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in AI, Data Science, and Analytics. Emphasise your track record in the ML lifecycle and any specific projects that align with the role's requirements.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills can help Capgemini Invent tackle their clients' challenges, particularly in leveraging Gen AI and data science.

Showcase Your Technical Skills: Clearly list your proficiency in programming languages and platforms mentioned in the job description, such as Python, R, AWS, or Azure. Provide examples of how you've used these skills in past projects.

Highlight Stakeholder Management Experience: Demonstrate your ability to manage stakeholders effectively. Include examples of how you've communicated complex data insights to clients and helped them derive value from their data.

How to prepare for a job interview at Capgemini

✨Showcase Your Data Science Expertise

Be prepared to discuss your experience in AI, Data Science, and Analytics. Highlight specific projects where you've successfully applied statistical modelling, natural language processing, or machine learning techniques. This will demonstrate your technical proficiency and relevance to the role.

✨Demonstrate Stakeholder Management Skills

Since strong stakeholder management is crucial for this position, come equipped with examples of how you've effectively communicated complex data insights to clients. Share instances where you’ve helped clients understand the value of data-driven decisions.

✨Familiarise Yourself with Relevant Technologies

Research the data and AI platforms mentioned in the job description, such as Google Cloud Platform or Microsoft Azure. Being able to discuss your experience with these technologies will show that you're ready to hit the ground running.

✨Prepare for Creative Problem-Solving Questions

Expect questions that assess your ability to balance creativity with practicality. Think of examples where you've innovatively solved problems using data science methods while meeting client expectations and deadlines.

Consultant - Data Science Generalist - London
Capgemini
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  • Consultant - Data Science Generalist - London

    London
    Full-Time
    43200 - 72000 £ / year (est.)

    Application deadline: 2027-09-01

  • C

    Capgemini

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