Data Scientist - Sagacity : Job Details

As part of the Analytics Team, you will work closely with the Data & Analytics Manager 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.

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

• 2+ 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