Lead Data Scientist

at  Crosslake Technologies

HOW WE SERVE CLIENTS

Companies often struggle to get the results from technology that we know are possible. Well-implemented technology can be world changing. It removes waste and makes us better at what we do.
Our mission is to help others achieve the true benefit that technology can offer and increase business success and value. We are a leader in Europe helping businesses backed by private equity and venture capital to achieve their growth plans through technology.
This is achieved through our excellence at understanding how to improve a technology function to deliver business value – and then assisting the company to deliver those improvements. Our strengths include bespoke software development, system architecture, technology strategy, change management, data science, machine learning and cloud platform engineering.
In 2023, Intechnica joined forces with U.S.-based Crosslake Technologies, a solutions-driven, global tech advisory firm serving private equity investors and their portfolio companies with technology due diligence, digital transformation strategy, technology value optimization and executive leadership focused on growing enterprise value through technology.

KEY SKILLS & EXPERIENCE

• Client facing experience: Experience in client facing engagements with the ability to translate data science approaches into non-technical language
• 
  AI and Data Science Skills : In-depth expert-level experience in Data Science domain (data mining, statistics, machine learning, etc.) and AI domain (analytical and generative AI, model selection, training, ML Ops, data assets curation, model efficacy metrics, bias management, IP considerations, etc.)
• 
  Cloud skills: Experience with PaaS (Platform as a Service) & FaaS (Function as a Service) (Lambda, ECR/ECS, EC2, Beanstalk, or equivalents). Understanding of cloud networking principles (eg. VPCs)
• 
  Engineering skills: Interpret business challenges/problems into code. Utilising existing libraries (shared collection of code) and adapt to business/project requirements. Task-specific language experiences. Interest in optimising solution design to meet requirements. Understanding of languages like R and Python

Education: [CL1] Relevant bachelor’s or master’s degree or equivalent experience in any of the following fields: computer science, statistics, mathematics, physical sciences with strong understating of data analytics

• 7+ years of work experience in a relevant business environment.

THE ROLE

We are looking for an experienced Lead Data Scientist to join our established team. This will require experience in taking the technical lead in complex data science projects and problems. You will be involved from the project’s pre-sales activity having the ability to translate data science approaches into non-technical language, moving to project scoping and defining timescales and then delivering the product to our clients.
You must have strong technical ability and be able to guide a team of data scientists working on diverse projects for multiple clients using a broad range of data science skills - machine learning, process automation, data management, computer vision and predictive modelling.
You will have the knowledge and acumen to review a business, understand their data estate and offer guidance on their ability to introduce data science into their environment. You will have the ability to communicate this to our clients in both verbal and written formats offering support and technical expertise.

MAIN PURPOSE OF JOB

• Support consulting engagements, which may be pre-acquisition due diligences focused on AI and Data, or consulting projects related to building AI and Data enabled solutions

Technical lead for all “design and build” Data Science and AI projects: Guide project requirement scoping/definitions activity and provide technical guidance for the team as well as hands on support throughout the project lifecycle. Drive solutions from research & design activities

• Technical Pre-Sales: Support pre-sales activity within the sales and marketing teams