Senior Data Science Manager
We’re seeking a Senior Data Science Manager to lead our team of data scientists in developing the core of our product, specifically the AI and ML infrastructure that powers all our interactions and conversations.
About the role
Would you like to work on a new to market, Gen AI product where 8k users have rich conversational engagements every day?
Over the past two years, we have been developing an exciting new genAI product called Humara. As the next generation of our successful digital sales assistant, it helps users discover products that truly fit their needs, answers their questions in real time, and guides them through often complex sales processes.
We’re seeking a Senior Data Science Manager to lead our team of data scientists in developing the core of our product, specifically the AI and ML infrastructure that powers all our interactions and conversations.
Data Science Leadership:
You will guide strategic decision-making regarding technology and architecture, ensuring solutions are scalable, cost-effective, and flexible enough to meet the diverse needs of customers. This involves a strong understanding of genAI, model lifecycle management, collaborative design, and proactive roadmap planning.
People Management:
You will lead and develop a growing team of data scientists, fostering a high-performance culture by guiding their professional growth and ensuring effective communication within the team and with stakeholders. Your strong interpersonal skills will enable you to bring out the best in your team members.
Individual Contribution:
As a confident individual contributor, you will take ownership of feature development, effectively elicit requirements, and design robust solutions. You will also champion the importance of data-driven development and decision-making, ensuring alignment with stakeholder expectations throughout the development process.
The person we’re looking for
- Passionate about designing and delivering solutions to complex problems
- Vocal thought leader in their domain
- Ambitious to grow the company and grow with them
- Curious with a desire for continuous learning
- Collaborative and pragmatic approach to problem-solving
- Excellent communicator across technical and non-technical audiences
- Self-motivated and self-managing, with great organisational skills
- Comfortable expressing your views and listening to others, as the situation requires
- Experienced and passionate about machine learning, data modelling and large-scale data analysis and pipelines
- Excited to lead and develop our data science talent
You’ll be responsible for
- Managing, mentoring, and supporting a team of data scientists
- Introducing the latest industry developments for evaluation and adoption
- Identifying, socialising and building ambitious data science capabilities to take our product forward
- Serving as a subject matter expert internally and externally, engaging with key customer stakeholders when beneficial
- Translating use cases, pain points and success criteria into technical solutions
- Collaboratively developing and agreeing on data-driven solutions
- Building and maintaining high-quality machine learning models and tooling
- Writing robust, automated tests to ensure system integrity and quality
- Promoting data governance through documentation, observability and controls
- Troubleshooting, resolving issues, maintaining operational stability and responding to incidents
- Championing tools, standards, and best practices within the team
Skills and experience
- Proven experience managing and mentoring data science teams
- Strong commercial experience in a senior data science role
- Comfortable owning and delivering technical projects end-to-end
- Deep understanding of machine learning model lifecycles and MLOps patterns
- Comfortable evaluating both business and technical requirements
- Skilled at training models on large datasets
- Knowledgeable about model optimisation processes
- Experience with Python, PyTorch, sci-kit learn and other ML frameworks
- Strong knowledge of cloud computing (AWS preferred), containerisation and model deployment
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Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive, and authentic workplace where everyone can be their best, so if you're excited about this role but your past experience doesn't align perfectly with every requirement on the Job Description, please apply anyway - you may just be the right candidate for this or other roles in our wider team.
Benefits include
- Medicash healthcare scheme (reclaim costs for dental, physiotherapy, osteopathy and optical care)
- Life Insurance scheme
- 25 days holiday + bank holidays + your birthday off (rising to 28 after 3 consecutive years with the business & 30 after 5 years)
- Employee Assistance Programme (confidential counselling)
- Gogeta nursery salary sacrifice scheme (save up to 40% per year)
- Enhanced parental leave and pay including 26 weeks’ full maternity pay and 8 weeks’ paternity leave
