Data Scientist (Marketing)

As part of the Analytics Team, you will work closely with the Senior Insight Analyst and other colleagues across data strategy, sales, account management and marketing. You will be supported by colleagues with a range of industry and technical experience, working on projects to help our clients apply data analysis and insight to their data-driven marketing campaigns.

Responsibilities

Principal responsibilities will involve:

• Provide marketing insights (market sizing, customer profiling etc) to a range of clients across many different sectors
• Application of predictive modelling and machine learning techniques to optimize client marketing strategy
• Development of new predictive models and application of existing models to score populations in readiness for marketing campaigns
• Validating, cleansing, de-duplicating, importing, extracting and manipulating data from a variety of sources and formats for analysis
• Summarising results and presenting to internal and client teams
• Helping others in the company understand the work done and why it will be of benefit to our clients including pre-sales activity with clients to persuade them of the value of analysis and insight work
• QA own work and that of others

What success looks like in the role

• Clear, concise, and insightful data analytics which enable our clients to make sound business decisions based on fact
• Ability to translate data analysis into targeted information which can be converted into actionable improvements, based on specific client / industry need
• Continued improvement of Sagacity's Product Suite through the delivery of robust data insight
• Ability to take accountability and ownership for client and internal deliverables
• Work as part of a Data Analytics team proving knowledge transfer support, peer to peer reviews and mentoring as a team to increase the team's skill sites and drive continuous learning

Competencies and Behaviours

• 1 -3 years analytics / data science experience
• Educated to degree level - ideally from a computing, numerate or business-related degree
• Strong understanding of statistical methods (including modelling techniques such as logistic regression and gradient boost decision trees) and statistical programming languages such as Python or R
• Experience with data manipulation and visualization tools and techniques (Databricks, SQL, PowerBI)
• Highly numerate with strong attention to detail
• Solutions orientated with natural problem-solving skills
• Self-motivated and pro-active, with an ability to multi-task, prioritise, be organised and plan your work
• Excellent communication skills, both written and verbal, with a willingness to engage and influence others
• A team player with a positive attitude; personable, adaptable and willing to learn
• Are flexible and self-motivated
• Are good under pressure
• Able to travel throughout the UK
• Have the right to work in the UK

Have a commitment to personal development