Develop approach and plans for analytical problems with a focus on client value.
Deliver detailed analytical outputs including ML models and curated datasets.
Build business context from analytics to provide actionable insights.
Understand commercial implications of data science work and drive value for clients.
Present analytical work and results to stakeholders.
Ensure delivery is of high value, timely, and client-focused, collaborating with team members as required.

Requirements

SQL (critical)
Python or R (critical)
Machine Learning & Statistics (critical)
Visualisation tools and packages (Power BI, Quick Suite, matplotlib etc) (highly desirable)
Knowledge of data warehousing and cloud data platforms (highly desirable)
CI/CD version control workflows (e.g. Git)
Proven track-record of delivering high-quality data science solutions in a hands on capacity, demonstrating a high level of critical thinking and problem solving skills
Practical experience developing ML models, probabilistic models and curated datasets to solve business problems.
Proven experience managing the full data science lifecycle, from feature engineering and design through to the build, test, and deployment of models.
Experience monitoring and optimising the performance of models
A pragmatic and iterative approach to the full project lifecycle, with the ability to adapt to changing client requirements from inception through to delivery
Experience working with customer value, commercial and/or marketing data to drive commercial value for clients
Demonstrates strong commercial awareness and the initiative to tackle wider project or organisational challenges through advanced analytics.
Experience presenting complex information and model outputs to a variety of stakeholders
Sound working knowledge of data protection and GDPR
Degree in a relevant field (e.g., Computer Science, Statistics, Mathematics, Economics or equivalent)
Work within a large corporate setting with big data volumes is highly advantageous (e.g. financial services, telco, healthcare)
Proactive, dynamic, and driven by solving analytical problems, with a great eye for detail
Takes accountability and ownership of tasks, works with tenacity and confidence to find a way
An excellent communicator who can make sense of and communicate complex ideas
Ability to quickly understand client context and demonstrate expertise in their business
A relationship builder, with the ability to motivate and engage effectively to build trust with clients and colleagues
An interest in industry trends, emerging technologies, and client’s businesses.

Benefits

Really flexible and remote working – we don’t mind when, where or how you work; you are trusted to work in the way that suits you best.
Genuine care and support for your health and wellbeing – free therapy sessions, financial education, birthday treats and much more.
Incredible training and learning opportunities – you’ll be surrounded by the best in the business and encouraged to keep growing.
Freedom and empowerment to own problems and explore new ideas – we allow our consultants to actually be consultants, not just bodies.
A supportive, friendly team – we work hard and enjoy spending time together, whether it’s in-person at socials or via silly Slack conversations.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

SQLPythonRMachine LearningStatisticsData VisualizationData WarehousingCloud Data PlatformsCI/CDFeature Engineering

Soft skills

Critical ThinkingProblem SolvingCommercial AwarenessCommunicationRelationship BuildingAccountabilityAdaptabilityAttention to DetailInitiativeCollaboration