Junior Data Scientist

About Us

As one of the UK’s leading AI Consultancies, we believe that responsible use of AI can solve many of the toughest challenges organisations are facing today. We’re driven by the impossible. We harness our extensive expertise in advanced AI, ML, and Data Science along with cutting-edge technology frameworks to provide solutions for a diverse range of industries, including Environmental Protection, Healthcare, Sustainability and Finance. Our solutions enable organisations to re-imagine their ways of working, to automate business workflows and gain time to insights that make real business value impact.

Deeper Insights is in a revolutionary sector that is growing in maturity. We are going through a period of rapid growth and we invite you to join us.

With a portfolio of case studies that include original AI research, scaled automation workflows, and custom unstructured data intelligence AI, there is plenty to keep you interested. We are advocates of knowledge sharing and innovation to solve big customer problems. We adopt a DevSecOps culture, empowering individuals and groups through  agile, cross-functional teams, with access to data science specialty, ML engineering expertise and operations knowledge through each stage of project inception, design, development and delivery.

About the role

The ideal candidate will have a deep understanding of AI and its applications, as well as a proven track record of successfully applying AI techniques to real-world problems. You will work independently with minimal or no supervision, taking ownership of your projects and delivering results in a timely manner.

As a consulting company, we value strong communication skills and the ability to work directly with clients. Therefore, this role will be client-facing and require effective stakeholder management. You will be responsible for understanding clients' requirements, providing expert guidance, and presenting solutions in a professional manner.

Responsibilities:

• Carry out the whole DS lifecycle in a project (client or internal) in order to create prototypes, MVPs or PoCs with a high degree of autonomy and ownership. You need to demonstrate your ability to independently execute the entire data science process and create valuable outcomes

• Identify and understand the right customer problem to solve and propose solutions that are aligned with their business goals

• Convert business requirements into technical requirements

• Write client proposals, client reports and internal documentation

• Client-facing: make presentations to clients

• Collaborate with the engineering and DevOps team to ensure the appropriate infrastructure is being used and the produced ML code is at a good standard

• Mentor junior data scientists

• Maintain clear and coherent communication, both verbal and written, to understand data science needs and report results

• Research and stay up to date with the latest AI methods, techniques, and tools

• Share DS knowledge internally and externally (e.g., write blog posts and/or white papers, give talks at meetups and DS events)

• Provide technical feedback on the work of other data scientists

About you

• Over 2 years relevant experience in a Machine Learning/Data Science role in the industry (internships and work carried out within the context of a Master or PhD thesis won't be considered relevant industry experience for this specific role)

• Minimum Bachelor's degree on a relevant field (e.g., Computer Science, Engineering, Statistics, Mathematics, Physics)

• Solid understanding of agile methodologies and experience working in an agile environment

• Has experience with collaborative development using version control systems like git and Github within the context of a team

• Has experience with a cloud computing ecosystem: AWS (preferred), GCP, or Azure

• Great programming skills in Python, with the ability to apply Software Engineering best practices (automatic unit testing, integration tests, debugging, error handling, logging, coding standards and naming conventions)

• Relevant hands-on experience developing Machine Learning solutions

• Comfortable dealing with ambiguity, uncertainty and working in a dynamic environment, where priorities change frequently and objectives may not be well defined

• Excellent problem-solving skills, including the ability to analyse issues, identify causes, recommend solutions quickly, and structure and prioritise an approach for maximum impact. We focus on delivering value to clients rather than micro-optimising models.

• Lifelong learner mentality, a drive to master new technologies and techniques, and willingness to work outside your comfort zone

Bonus Points for:

• Experience with LLMs, Transformers and NLP particularly HuggingFace and Meta models

• Expertise in Computer Vision and Signal Processing

• Proven experience using top-tier AI frameworks such as PyTorch, TensorFlow, OpenAI, Scikit-Learn, HuggingFace etc.

• We encourage graduates to apply who have completed an internships or placement. 

Working with us

We are very proud of our team and the culture that we have built here at Deeper Insights. We take care and are considerate when introducing new members to the team, even at our current rate of growth!

In return, we offer our team:

• Generous holiday allowance

• 30-day overseas "digital nomad" working allowance (post-probation)

• Choice of Mac, PC or Linux development hardware

• Additional 500 EUR home office set up allowance

• 2 Professional Development days anually (your choice of course, conference etc.)

• Annual professional development allowance (your choice of course, conference etc.)

• Annual volunteering hours allowance

• 25 EUR monthly wellbeing contribution (mental heath subscriptions, gym/yoga/swimming etc.)

• Fun company events in Portugal and UK

• Positive, friendly and enthusiastic working environment

• A great team and working environment

Deeper Insights is committed to promoting equality, diversity, and inclusion in all aspects of employment. We welcome applications from all individuals who meet the role requirements, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. All recruitment decisions are based solely on job-related qualifications, skills, and experience.