【Senior Data Scientist (+5 years experience)】 Senior Manager
●Role Description - Manages large and complex analytical projects from data exploration, model building, performance evaluation and testing - Works with clients / stakeholders to design, deliver insights and develop solutions using multiple sources of structured, semi-structured and unstructured data - Acts as an intermediary between the business / client community and the technical community - Presents complex solutions and options in a simplified manner for clients / business
●Responsibilities - Leads the delivery of large projects and data science insights using a range of tools and methods and serves as a best practice resource for team members - Builds internal relationships with key stakeholders across the business as well as externally with the client and technical community - Ensures robust governance around data ethics and use of data within data science models, setting policies and procedures - Develops new data sources internally and externally and identifies large projects and opportunities through close collaboration with the business, client and technical community
【Data Scientist (+3 years experience)】 Senior Consultant/ Manager
●Role Description - Develops and reviews complex data analytics models, algorithms, systems and solutions, using advanced and specialist data science, programming and analytical techniques - Delivers complex predictive models and identifies new projects, opportunities and data sources which can be used to drive measurable client and commercial benefit - Provides insights and recommendations from different data sources to senior team members to help make decisions that drive better business outcomes for clients
●Responsibilities - Works closely with senior team members to scope, identify and establish appropriate data analysis methodologies for projects - Seeks new data sources internally and externally that enable leading edge data science solutions - Develops complex statistical modelling tools that drive business outcomes for clients, involving complex algorithms, artificial intelligence methods, machine learning, deep learning and advanced statistics - Confidently uses visual tools to communicate data insights and links data to business outcomes.
We are looking for a customer-obsessed Senior Business Analyst to join the team. We have a culture of data-driven decision making, and requires advanced sales technologies that are timely, accurate and actionable. This role will partner closely with the Commercial Sales teams to understand the needs of the team and ensure that the business teams are able to answer hard questions with real data. This individual will participate in business reviews and new-initiatives. They should be able to identify and help close gaps in the information available, as well as predict up-and-coming data-needs when participating in discussions about new products or features. A successful individual should be highly collaborative and organized. You should be capable of prioritizing multiple deliverables and effectively communicate progress and blockers. You should feel comfortable working across multiple data-sources, and be capable of participating in and understanding how multiple systems communicate information to one-another.
●Responsibilities include: - Owning the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs. - Translate basic business problem statements into analysis requirements. - Use analytical and statistical rigor to answer business questions and drive business decisions. - Find and create ways to measure the customer experience to drive business outcomes. - Utilize code (Python, R, Scala, etc.) for analyzing sales/marketing data and building statistical models to solve specific business problems - Apply or design highly innovative models for predictive learning, content ranking, and anomaly detection - Analyze and extract relevant information from historical data and open data to help automate and optimize key processes - Analyze key metrics or develop sub metrics to uncover trends and root causes of issues - Communicate verbally and in writing to business customers and leadership team with various levels of technical knowledge, and share insights and recommendations