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Senior Data Science & Analytics Leader - AI/ML, HybridCapgemini SE • London, England, United Kingdom
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Senior Data Science & Analytics Leader - AI/ML, Hybrid

Capgemini SE
  • GB
    London, England, United Kingdom
  • GB
    London, England, United Kingdom
Jetzt Bewerben

Über

About Capgemini Invent As the digital innovation, design and transformation brand of the Capgemini Group, Capgemini Invent enables CxOs to envision and shape the future of their businesses. Located in more than 36 offices and 37 creative studios around the world, it comprises a 10,000+ strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth. Capgemini Invent is an integral part of Capgemini, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fuelled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of €22 billion. Our brand promise “Get The Future You Want” reflects our passion for people and technology and highlights the company’s commitment to inclusion and sustainability. An important aspect of ‘Get the Future You Want’ is to balance hybrid ways of working between your Capgemini office, home, and client location (where applicable). We recognise that it is an imperative to create flexibility so you can enjoy an optimal work-life balance and feel empowered to achieve success. When you come onboard, or before, please discuss this with your manager so you can agree the best ways of working for your role, team, and client. Get The Future You Want Your wellbeing You’d be joining an accredited Great Place to work for Wellbeing in 2023. 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, and we have invested in wellbeing apps such as Thrive and Peppy. Shape your path You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more. An overview of the role: 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. 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 and help our team continue to grow to meet the needs of our clients. Are you passionate about Data Science and Analytics - and believe they’re the key in unlocking business value? Then read on and reach out! The work: No matter the project or customer, your work will have a meaningful impact on society, businesses and lives. It’s really rewarding. And it’s also really varied. You’ll potentially work on a huge variety of projects (some larger than others), so you could gain lots of experience in a short amount of time. Why this role? As a Senior Manager in the business, you’ll help set the direction, drive forward the business, model our values and behaviours, and coach and develop junior members of the team. Key expectations from this role include: You will support the delivery of our Data Science and Analytics projects and, working closely with your colleagues, ensure Client expectations are met at all stages. You will continue to develop new skills in the fields of Data Science and Analytics, with support from your colleagues, to ensure that current methods are used where appropriate. You will support the development on internal initiatives related to the fields of Data Science and Analytics to ensure our growth of our capabilities as a team. You will lead key business development activities, with support from your colleagues, to ensure we continue to bring new business relevant for the team. You will seek to deliver work in a structured manner, finding a balance between creativity and practicality to ensure we meet client standards efficiently within the agreed timescales. You will work 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 – Leading/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. We’d love to meet someone with: Experience in working within the fields of Data Science and Analytics, with a proven track record of successfully delivered work across ML lifecycle. Strong stakeholder management and presentation skills, with experience in enabling clients to better understand and derive better value and insights from their data. A desire to provide solutions to the real-world issues and challenges with data that our clients face regularly. Strong foundation in statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies Architectural and/or feature knowledge of one or more of the listed AI Platforms: Google Cloud Platform, Amazon Web Services, Microsoft Azure, Databricks Architectural and/or feature knowledge of one or more of the listed Languages or Packages: Python, R, Pyspark, Scala, PowerBI, Tableau Proven ability to be successful in a matrixed organisation, and to enlist support and commitment from peers in selling and delivering consulting solutions. Experience of leading propositions, responding to bid requests, and excelling in delivery. Currently working in a major Consulting firm, and/or in industry but having a Consulting background. Why Capgemini is unique At Capgemini we don’t just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion 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. Through our New Normal campaign, we are looking to 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. Collaboration and Innovation: We really believe in creating a partnership with our customers. Using our Accelerated Solutions Environment (ASE), you’ll get to know the customer’s needs and challenges, demo innovative solutions and quickly solve problems. It’ll help you discover unexpected answers together. Learning and development: There’s an endless amount to learn at Capgemini, and an endless number of ways to do so. So, you’ll also have unique training opportunities to take advantage of. Some of our consultants even have the chance to go to Les Fontaine (near Paris, France), where we host a conference. Outside of dedicated training, everyone makes time to help and support one another - collaboration is encouraged across all our teams. CSR: 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.
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  • London, England, United Kingdom

Sprachkenntnisse

  • English
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