At Datasparq our mission is to empower people and organisations to achieve beyond their potential. We design, build and run cutting edge and ethical AI and data solutions that get used every day. We’re passionate about finding original and smarter ways to solve big, meaningful business challenges with AI and data.

Our Product Leads work across the whole lifecycle of our client engagements, helping define outcomes, solutions, and ultimately managing the delivery.

Datasparq Product Leads…

• are organised, pragmatic, and action-oriented
• are analytical thinkers and love picking apart and simplifying complex problems
• love working in multidisciplinary teams alongside engineers, data scientists and sales and marketing teams
• are advocates for agile, incremental delivery to ensure value is being delivered at every step
• try new things, evaluate, and stick with what works, sharing and promoting their learnings with colleagues
• are excellent communicators and comfortable engaging with clients
• are curious and questioning, they identify gaps before they become issues
• are value-focused and always looking to deliver products and solutions which solve real customer problems
• are passionate about the potential of AI/ML to create a positive impact. 
• are obsessed with User Experience and ensuring that products are used and loved by customers
• have a good base of understanding of data and machine learning.
• can articulate a vision for a product they look after and can cut through the noise of requirements and feature requests to zone in on what’s important

What does a Datasparq Product Lead do?

Datasparq Product Leads…

• undertake business analysis to bring clarity to complex problems
• lead small delivery teams using agile methodologies including owning and prioritising the product backlog.
• contribute to “SparQshops™”, our unique discovery workshop designed to identify, qualify and validate AI opportunities.
• contribute to product strategy, working closely with their colleagues in the Product Management team

Typically a Product Lead will have experience in some or all of the following:

• use of agile delivery tools such as Jira/Confluence
• as an agile delivery lead (scrum master/project manager) responsible for facilitating day to day delivery for a multidisciplinary team including software engineers and data scientists.
• supporting the rollout of new products or services with clients/customers, helping to manage any cultural or business change to ensure they deliver the value promised
• as a Product Owner in an agile delivery team
• as a business analyst, responsible for clarifying and documenting complex business challenges
• working in a product, delivery, or technical role which leans heavily on data, machine learning or AI

Datasparq is a boutique AI & data firm that solves complex business challenges.

We build bespoke AI and data science tools—and turn them into robust, reliable services for our clients.

We start with research and iterate—using lean startup principles—to quickly uncover impactful solutions to high-value challenges. Our product team ensure that we build the right solution in the right way. Our data science team ensure that the AI and data science solutions we build are best-in-class. And, our engineering team ensure that solutions are robust and ready to be deployed in the real world.

But—what’s special about Datasparq is the way our teams work together.

Just as no business challenge fits neatly into a box, neither do our people. Rather than simply hiring a data scientist or a data engineer, we seek out passionate experts who can bring a range of overlapping skills to any team. That gives us the ability to build the perfect team to solve any challenge. We believe in bespoke over one-size-fits-all.

We don’t just build ML models—we take our science from the broad spectrum of mathematics, statistics, operations research and computer science. We work with academic partners and Centres for Doctoral Training (CDTs) across the UK to ensure that what we do is founded on high-quality, up-to-date science.

When it comes to operationalising solutions, we can run data science products in the cloud as services for our clients—or deploy to their infrastructure as needed.

Diversity & ethics

As a company, we don’t just value diversity—we place it at the heart of what we do. To create solutions that serve our users—and our clients' users—diversity is a must, not a nice to have. Likewise, we place ethics at the heart of what we do. Our team are passionate about working on projects that drive positive results for people and the planet. We routinely undertake ethics reviews and champion a culture of openness, honesty and integrity.