Technology Consultant - Data Science & AI

Key Skills

Java Programming, Python Programming, SQL, Data science techniques

Job Description

Hybrid Intelligence, a Capgemini Engineering team, is seeking a Technology Consultant to join our consultancy practice and engage with our clients in the to uncover, define, and solve their complex data science and analytics challenges. In return, we can offer a rewarding career that makes a difference, with plenty of opportunities for learning and self-development.

We provide data science, analytics, and scientific software services to industry-leading companies. As part of our consultancy practice, your core function will be to work closely with our clients, helping to identify and understand their challenges and provide advice and guidance to help solve them. You will be expected to develop a detailed understanding of our data science propositions and how to articulate their value most effectively to our clients, with the aim of building long term engagements.

You will work across the full range of our science and engineering sectors, and you will have the opportunity to learn, develop and expand your expertise into new areas. The role will involve travel to clients in the UK and occasional trips to Europe and the US.

Responsibilities

• Start with often unclear or unfocused client requests and take the lead in exploring possible solutions to ensure real business benefits.
• Drive and challenge clients on their assumptions and constraints to identify the true underlying business need from their requests.
• Clarify, qualify, and shape analytics, data science and AI opportunities with clients.
• Assist delivery teams in defining the scope and direction of potential solutions.
• Support the on-boarding of the project delivery team and provide ongoing guidance and advice.
• Provide consultancy capabilities as part of a data science solution delivery team as required.
• Engage with clients in the technical presales phases of the opportunity lifecycle.

Requirements

• BSc, MSc, or PhD in science or engineering.
• Proven technical track record in the data science and analytics domain (in consultancy and/or technical delivery).
• Good consultancy skills (e.g. stakeholder engagement and management, workshop facilitation, process and information modelling).
• Excellent verbal and written communication skills and the ability to explain technical concepts in simple terms.
• Good interpersonal skills with the confidence to network and present to clients at all levels.
• The ability to manage and engage in multiple activities simultaneously.
• An understanding of current industry-wide best practices and be able to leverage benefit from their application to new problems.
• Experience of hands-on software development, analytics or data science would be an advantage.