Recruitment at Discovery Limited

Key purpose

• The Content Lead: Insurance is responsible for the content deliverables of Discovery Life and Discovery Insure. The Content Lead combines the creativity and skill of a specialist writer with leadership, organisational and problem-solving abilities to meet the content objectives of each business. Reporting to the Head of Content, the Content Lead oversees the day-to-day content planning, generation and execution of content development. The Content Lead supervises freelance writers, with the responsibility to create compelling thought leadership, brand and social media content for Discovery’s investment, insurance and employee benefit offerings. The Content Lead plays a key role in coordinating, planning and collaborating with various internal, marketing, editorial and project teams to deliver high-quality content for various target audiences and platforms.

As the Content Lead, responsibilities include the following, but are not limited to:

• Developing quality content across multiple platforms and formats
• Meeting with editorial and project teams on the various insurance brands, and social media and PR teams to brainstorm and develop content ideas for all media channels
• Planning and managing daily content operations for the portfolio
• Collaborating with the Head of Content to understand content priorities and solutions
• Presenting content opportunities and solutions to heads of brand, social media and PR
• Supervising freelance writers and other content producers, as required for different projects and briefs
• Managing project plans, schedules, work flow data and related administration 
• Identifying unique content opportunities in line with the key messages and priorities as stipulated by business
• Identifying opportunities for content that will be suitable and relevant for a media audience
• Collaborating with a broader team to identify opportunities that will build the thought leadership position of experts and leaders in the business
• Researching and overseeing development of content for various executive LinkedIn profiles
• Identifying opportunities where data insights from business can be leveraged in content
• Assisting the team in conducting interviews with a wide range of internal and external stakeholders to produce content according to client briefs
• Developing and managing content plans according to content and marketing strategies
• Assisting the team in developing content in various forms, including press releases, opinion pieces, website content, media responses and reports 
• Project managing large content projects when required 
• Working with and providing support to the Head of social media on social media content
• Working with various internal and external stakeholders, including clients and suppliers 
• Managing briefs for video and photography shoots, as well as design agencies 

In this role, the Content Lead is responsible for ensuring continuous improvement and professional development, including:

• Fostering an environment conducive to cross-functional skills transfer and coaching freelance writers where required
• Cultivating an environment where creativity and innovation are encouraged
• Maintaining professional and technical knowledge and keeping abreast of industry trends
• Contributing to team success by ensuring team commitment and cohesion
• Valuing individual contributions and showing respect for others
• Respecting diversity and encouraging an environment that values inclusivity.

Builds and manages operational relationships with internal stakeholders

• Engage with senior business colleagues to contribute to the brand or communication strategy
• Researches local and international trends and business enablers and makes recommendations on content and editorial plans and strategies
• Provides expert guidance to colleagues on industry best practice
• Participates in meetings and forums to share knowledge, encourage innovation and manage complexities.

Competencies

• Understanding of the financial, insurance and investments landscape
• Excellent writing skills, with experience in financial and technical writing an advantage
• Ability to develop content strategies, plans and campaigns targeted at various audiences 
• Ability to engage with senior management within the organisation 
• Ability to translate complex concepts into engaging and simple content 
• Ability to understand the voice of the organisation and adapt the tone of the content to the audience 
• Project management experience and skills 
• Attention to detail 
• Excellent interpersonal skills 
• Ability to work well in a team and oversee the deliverables of a team of writers
• Ability to work under pressure and meet deadlines 

Education and experience

• Matric and appropriate tertiary qualification (degree with marketing, communication, journalism, writing or language components) 
• Extensive writing experience
• Background in writing on financial, insurance and investment topics
• Minimum 5 – 8 years’ experience (PR, editorial, social media, communication, or agency experience) 
• Digital marketing and social media experience 
   

go to method of application »

Key Purpose

• Lead the technical development, testing, and implementation of advanced Large Language Model (LLM) based projects and related technologies to deliver end-to-end data science and AI products within the organization.
• Work closely with cross-functional teams and business partners to design, build, and deploy scalable solutions that will directly impact staff and customers.
• Create opportunities that delight our customers by leveraging Discovery’s vast clinical, demographic and operational data. Using this data with predictive modelling and machine learning techniques you will have a direct impact on strategic initiatives to support Discovery’s world-class operations.

Areas of responsibility may include but not limited to

• Lead the design, development, and deployment of LLM - and generative AI-based solutions that address large-scale and complex problems and materially drive the company’s global product offerings and strategy forward.
• Collaborate with product owners, project managers, and executive stakeholders to identify and prioritize business problems that can be solved with LLMs.
• Conduct desktop research into the state-of-the-art in LLMs and Generative AI and apply findings to real-world applications (either requested by business or suggested by yourself).
• Conduct research and development of speech-to-text and audio-based language models, integrating with LLM pipelines where applicable.
• Conduct experimental research on the use of LLMs in real-world company applications to ensure that design and development decisions are made scientifically and optimize for and balance all business requirements. These include accuracy, scalability, efficiency, reliability, safety, and cost-effectiveness.
• Translate strategic direction into technical product definitions and roadmaps.
• Participate actively in internal and external communities discussing and designing policies for the ethical use of AI and ensure your team’s work meets ethical AI standards.
• Contribute substantially to a culture of innovation, leading the prototyping and development of novel methodologies and approaches. Provide strong thought leadership in this regard.
• Communicate complex technical concepts to executives and non-technical stakeholders effectively.
• Demonstrate strong emotional intelligence by understanding and uplifting team members and skillfully managing challenging situations with composure.
• Advise other teams in the business on best practice based on your experience.
• Mining large structured and unstructured datasets to find new insights to inform operational efficiency and ‘member- delight’ interaction strategies
• Research and application of the most up to date machine learning algorithms and AI techniques
• Present data and model findings in a way that provides actionable insights to business users
• Monitoring model performance

Personal Attributes and Skills

• Expert in data science programming languages such as R, Python, Scala
• Expert in data manipulation skills including SQL to extract, transform and load data
• Experience in interactive data exploration and data-driven story telling
• Understanding and application of Big Data and distributed computing principles
• Hands on experience with Big Data systems will be preferred
• Strong analytical and statistical knowledge with an understanding of the latest machine learning algorithms for both structured and unstructured data
• Ability to adapt to emerging technologies and tools
• Proficiency in version control systems such as Git for collaborative coding and maintaining code integrity
• Ability to formulate problem statements and develop a plan for tackling the problem
• Strong ability to communicate findings and recommendations from data (visual, verbal and written)
• Integration and implementation experience
• A passion for data exploration and analytics
• Self-starter
• Willingness to learn and grow exponentially
• A restless curiosity towards data and uncovering unknown correlations
• Ability to work cohesively in a team environment and balance multiple priorities
• A team player who can work alone when required and without supervision
• High level of attention to detail, resilience, enthusiasm, energy and drive

Education and Experience

• Honours or Master’s degree in Computer Science with solid experience in statistical modelling, data mining and machine learning, OR
• Honours or Master’s degree in either Data Science, Statistics, or Applied Mathematics with some experience in software engineering, computer science or working with big disparate sets of data
• Other analytical qualifications will also be considered if accompanied by the relevant experience
• A minimum of 3 - 5 years’ work experience in a data science position

Technical skills additional (advantageous)

• Experience with cloud platforms such as GCP, Azure, or AWS
• Experience with tools such as Whisper, DeepSpeech, OpenAI or HuggingFace
• Experience in sourcing and combining data from both structured and unstructured sources
• Experience with Google Tensor flow
• Familiarity with MLops practices and tools
• Proven tack record of Data Science or AI project delivery
• Deep understanding of LLMs and experience with models like GPTs, LLaMa, Gemini etc