Senior Data Science Consultant

We are looking for a Senior Data Science Consultant to join our growing Data Science & Advanced Analytics Team. Our vision is to be the number one provider for data and AI insight services in the public sector. We are passionate about making a difference for our clients through the use and adoption of advanced analytics and AI; empowering public sector workers with the solutions and insight to improve outcomes for the citizens they serve.

Main Responsibilities:

• Working with senior stakeholders to design novel data science solutions
• Providing technical leadership and guidance on best practice to the team
• Collaborating with co-workers and senior management to grow the data science team and proposition.
• Line managing a team of data scientists and analysts.

Requirements:

• 5 years + in a data science role, working with statistics, data science or a related field.
• Proven experience working with Python or SQL to query and transform large datasets.
• Proven experience working in a cloud platform such as Azure, AWS or GCP to deploying real world ML models
• Experience directly managing a team of data scientists and ML engineers
• Working experience with Shallow and Deep learning models
• Working knowledge of MLOps methodologies
• Working knowledge of relational databases and non-relational databases. Hands on experience with graph databases would be beneficial.
• Experience leading on data science projects, acting as the point of contact and escalation for senior stakeholders and quality assuring deliverables.
• Expert problem-solving and analytical skills.
• Strong communication and technical leadership skills.
• Ability to work in a fast-paced, deadline-driven environment.
• Collaborative and driven mindset.

You will be passionate about working with data and exploring novel ways of applying Machine Learning and broader AI techniques to truly revolutionise the public sector. Read on if you are excited by our next generation of products and data initiatives.

How will you spend your days?

• Provide technical leadership to a team of data scientists and ML engineers
• Work with senior stakeholders including executives, product, IT and data teams to identify and design data science solutions.
• Quality assure and sign off data science solutions and produce technical design report and documentation.
• Work closely with the Head of Data Science and Advanced Analytics to shape the Data Science business, identifying new areas of growth, resource gaps and areas of improvement.
• Act as a thought-leader internally for your team and externally to the market building our brand.
• Work collaboratively with the wider team to grow a pipeline of novel data science opportunities, bringing in your ideas and sharing knowledge.
• Inspire your direct reports, taking the role of their mentor and developing them on their career journey.

How will you stand out?

Qualifications for a Senior Data Science Consultant

• Proven experience working with public sector datasets.
• Experience using Python and/or SQL to analyse large datasets and build production-grade Machine Learning models
• Expertise in working with one of the major cloud providers such as MS Azure, AWS or GCP.
• Direct experience using MLOps methodologies in the MS Azure cloud will be strongly beneficial
• Experience managing a team of data scientists, analysts, and engineers.
• A successful history and passion for designing and building data solutions.
• Proven experience in client facing roles, building trust and long-lasting relationships.
• Strong communication and organisational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Delivering high-quality content at pace. Translating complex technical solutions into tangible actions for stakeholders.
• A good understanding of our clients’ markets and challenges.
• A passion for achieving business transformation through data science and AI; the ability to energise and excite those you work with initiative; the ability to work flexibly in a team and provide mentorship to the wider data science team.
• Articulate and clear in communications to mixed audiences - in writing, through presentations and one to one.
• Personal accountability - enthusiasm to develop your own projects and take ownership and bring in new ideas.
• Calm and adaptable in the face of ambiguity and in a fast-paced, quick-changing environment.
• You must be comfortable with the consulting lifestyle and be willing to travel.