The role of Principal Data Scientist exists within the Analytics Onshore and Offshore teams to develop innovative Analytics solutions using Gen AI / ML, Data Analytics and Data Science, Visualization / BI solutions that will generate tangible value for business stakeholders and customers. The role has a focus on using sophisticated data analysis and modelling techniques, alongside cognitive computing and artificial intelligence, with business acumen to discover insights that will guide business decisions and uncover business opportunities.

Key Accountabilities - Project Delivery and Timeliness | Stakeholder Management | Team Leadership and Development | Quality and Code Performance | Operational Efficiency | Collaboration and Cross-Functional Work

• Managing large Advanced Analytics teams owning client delivery and team growth accountabilities using consulting mind set.
• Experience within Insurance services industry essential. Confident in leading large scale data projects, working in product teams.
• Highly experience in solving business problem and Data Lead Tech solutions. Managing diverse cross functional teams with a strong commercial mindset
• Interpret big data to identify and analyse emerging trends and produce appropriate business insights which monitors the performance of the Portfolios and to continuously drive an improvement in business results.
• Develop advance business performance & Data Analytics Tools to assist the Senior Specialists, Portfolio Managers, business stakeholders (including but not limited to Portfolio, Customer & Marketing functions) & wider Commercial team members to make required data-based recommendations, implement and monitor them accurately.
• Develop statistical models to predict business performance and customer behaviour. Research customer behaviours and attitudes leading to in depth knowledge and understanding of differences in customer level profitability.
• Promote innovation through improving current processes and developing new analytical methods and factors. Identify, investigate and introduce additional rating factors with the objective of improving product risk and location selection to maximise profit.
• Provide consulting advice and solution to solve the Business clients hardest pain points and realise biggest business opportunities through advanced use of data and algorithms. Can work on projects across functions based on needs of the business.
• Actively add value by lifting the Business capability of process automation.
• Build, enhance and maintain quality relationships with all internal and external customers. Adopt a customer focus in the delivery of internal/external services. Build positive stakeholder relationships to foster a productive environment and open communication channels.
• Bring new Data Science thinking to the group by staying on top of latest developments, industry meet-ups etc.

Key job requirements

Qualifications

• Superior results in Bachelor Degree in highly technical subject area (statistics, actuarial, engineering, maths, programming etc).
• Post graduate degree in relevant statistical or data science related area (or equivalent & demonstrable online study).

Experience

• Expert level knowledge of ,Gen AI/ML Python, BI and Visualization
• Knowledge of statistical concepts – Expert level
• Typically, this role would have 12 years plus of relevant experience (in a Data Science or Advanced Analytical consulting field of work).
• At least 8 years of leadership experience necessary.
• Experience within Insurance services industry essential. Confident in leading large scale data projects, working in product teams.
• Highly experience in solving business problem and Data Lead Tech solutions. Managing diverse cross functional teams with a strong commercial mindset

Key Capabilities/Technical Competencies (skills, knowledge, technical or specialist capabilities)

Mandatory

• Proven ability to engage in a team to achieve individual, team and divisional goals.
• Solid programming experience in Tableau, R, SQL and Python (AI/ML.
• Experience with AWS or other cloud service.
• Familiar with data lake platforms (e.g. Snowflake and Databricks)
• Demonstrated understanding of advanced machine learning algorithms including some exposure to NLP and Image Processing.
• Expert level understanding of statistical concepts
• Planning and organization – Advanced level
• Delegation, project management, delivery and productionizing analytical services – Advanced
• High degree of specialist expertise within one or more data science capabilities eg. unstructured data analysis, cognitive/AI solutions (incl. use of API platforms such as IBM Watson, MS Azure, AWS etc), Hadoop/Spark based ecosystems etc.
• Familiarity with Gen AI concepts

Highly Valued

• Good understanding of the Insurance products, industry, market environment, customer segment and key business drivers.
• Strong knowledge of finance, Budgeting/Forecasting of key business drivers, with the ability to interpret and analyse reports relevant to area of responsibility.

Additional Requirements

• Creativity and Innovation - A curious mind that does not accept the status quo. Design thinking experience highly valued.
• Communication Skills – Superior communication skills to be able to co-design solutions with customers. Emotional intelligence and the ability to communicate complex ideas to a range of internal stakeholders. Consulting skills highly valued.
• Business Focus - Advanced analytical skills will need to be practiced with a significant business focus to ensure practical solutions that deliver tangible value.
• Strategic Focus - Critically evaluate both company and key business customers' strategy. Also keeping abreast of best practice advanced analytics strategies.
• Change management capability - ability to recognise, understand and support need for change and anticipated impact on both the team and self. Adaptable and responsive to a continuously changing environment.
• Customer service - proven commitment to delivering a quality differentiated experience.
• Time management skills – prioritisation of work without supervision.
• Project management - Ability to plan, organize, implement, monitor, and control projects, ensuring efficient utilisation of technical and business resources, to achieve project objectives.
• Partnering - Ability to deliver solutions utilising both onshore and offshore resources.