Full time, 3 days a week together out of either our Manchester or London Digital Hub (flexible 2 days remote wherever).
Why this Job Matters?
You’ll be working in BT Active Intelligence. Part of BT Data & AI Solutions (BT Digital), the team has big growth ambitions centred on building innovative, customer-centric propositions. Within Active Intelligence, we blend cutting edge data science with AI and Machine Learning to crunch location, movement, and web-behaviour data to provide actionable insights into how each target demographic behaves. We bring clarity, focus and precision to our clients’ business, marketing, and policy decisions.
What I'll be doing – your accountabilities?
- Build and deliver data science solutions with hands-on analysis of large and complex geospatial data sets using multiple technologies (BigQuery, GCP, SQL, Python, Carto).
- Conduct geospatial analytics and design data solutions using spatial SQL and machine learning techniques and pipelines.
- Conceptualise and develop new analytical algorithms and products using various statistical and ML methods.
- Clearly and confidently present complex analytical results in a clear and simple manner to key stakeholders and clients.
- Deliver analytical results in insightful, interesting, and interactive ways using various technologies and visualisation solutions.
Capabilities required for the job
- Mine big data from various sources and discover geospatial patterns and insights from such sources.
- Design, develop, and validate geospatial mobility-based products.
- Follow best engineering practices when working on technical solutions, E.g., making sure important technical information is documented in a clean and clear manner.
- Have a mindset of reproducibility and automation where possible.
- Measuring effectiveness - You help to set up measures to track operational performance. You support the reviewing, analysing, and interpreting of data to provide insights for decision-making.
- Ability to work well with a team, to collaborate on ideas and contribute collectively for a common goal.
Skills and experience
- Experience working with Geographic Information Systems (ArcGIS, Carto, QGIS) (understanding of standard geographies, shapefiles, geospatial joins, spatial visualisations).
- Experience designing, developing, and validating solutions for complex analytical problems.
- Working knowledge of Spatial-SQL.
- Experience working in (or studies in) the transport planning, location analytics, or mobility domains.
- Knowledge of geospatial data sources within the UK
Benefits
- Competitive salary
- 25 days annual leave (plus bank holidays)
- 10% on target bonus
- Life Assurance
- Pension scheme
- Option to join the Healthcare Cash Plan or other benefits such as dental insurance, gym memberships etc.
- 50% off EE mobile pay monthly or SIM only plans
- Exclusive colleague discounts on our latest and greatest BT broadband packages
- 30% discount for friends and family on EE mobile pay monthly and SIM only plans
How to Apply
It's easy to apply online; you just need a copy of your up-to-date CV and to follow the step-by step process. Don't worry if you need to make changes - you'll have the opportunity to review and edit your work on the final page. We look forward to receiving your application!
The Data Science & AI Specialist executes a range of workstreams in applying advanced analytics, machine learning, and AI techniques to obtain value from the full range of all BT data sets, transforming high volumes of complex data from across the BT group into practical insights and analytic solutions that support the Group's data strategies and strategic decision making.
1.Leads the extraction and analysis of big data through the application of Data Science & AI techniques to generate insight from data to support decision-making across the business or to embed in new products and services.
2.Drives model development, including data exploration, training data, feature extraction, validation and scoring.
3.Drives the development of insightful visualisations to make sophisticated analyses accessible to a broad audience.
4.Drives initiatives related to fairness, ethics, interpretability, safety, robustness, and privacy in the context of artificial intelligence and machine learning.
5.Mentors other Data Science & AI professionals, helping to improve the team's abilities by acting as a technical resource.
6.Champions, continuously develops and shares with team knowledge on emerging trends and changes in machine learning and artificial intelligence.
Data Modelling
Data Wrangling
Programming/Scripting
Business Analysis
Cloud Computing
Artificial Intelligence/Machine Learning
Data Analysis
Statistical Analysis
Artificial Intelligence (AI) Ethics
Research
Data Visualisation
Algorithm Design
Data Acquisition
Data Model Management
Looking in:
Leading inclusively
I inspire and build trust through self-awareness, honesty and integrity.
Owning outcomes
I take the right decisions that benefit the broader organisation.
Looking out:
Delivering for the customer
I execute brilliantly on clear priorities that add value to our customers and the wider business.
Commercially savvy
I demonstrate strong commercial focus, bringing an external perspective to decision-making.
Looking to the future:
Growth mindset
I experiment and identify opportunities for growth for both myself and the organisation.
Building for the future
I build diverse future-ready teams where all individuals can be at their best.