Role Overview
We are seeking a Data Scientist to who combines strong machine learning fundamentals with the ability to build high‑quality, production-ready software. You’ll take ML solutions from problem framing and modelling through to robust implementation, deployment, and iteration, working closely with engineers and stakeholders to deliver measurable outcomes for enterprise and regulated clients. The role suits someone focused on real world delivery and measurable outcomes, rather than research in isolation.
Key Responsibilities
· Design, build, and deploy machine learning solutions that solve real business problems, moving from prototype to production.
Apply traditional ML (e.g., regression/classification/clustering) and deep learning techniques where appropriate, selecting models based on evidence and constraints.
Demonstrate strong ML fundamentals, including the mathematics behind models (probability, statistics, optimisation, linear algebra), and explain trade-offs clearly.
Develop and deploy ML and data science solutions from proof of concept to production
Perform data exploration, feature engineering, and model development on large datasets
Track experiments, metrics, and model versions (e.g. MLflow)
Collaborate with data engineers and AI engineers to integrate models into platforms
Continuously improve models based on performance, feedback, and data drift
Required Skills & Experience
5+ years in applied machine learning and deep learning roles
Strong grounding in core ML concepts and their mathematical basis:
Probability & statistics, hypothesis testing, bias/variance, regularisation
Optimisation (e.g., gradient-based methods), loss functions, evaluation metrics
Linear algebra fundamentals used in ML (vectors/matrices, decompositions at a practical level)
Solid practical experience with traditional ML modelling (feature engineering, model selection, validation, and error analysis).
Demonstrable exposure to deep learning (architectures, training dynamics, evaluation), beyond “surface-level” familiarity.
Proven ability to build good quality software, not just models—clean code, testing, debugging, and maintainable design.
Strong programming skills (typically Python; additional languages a plus) and experience integrating ML into production systems.
A clear problem-solving mindset: structured thought process, ability to reason through ambiguous requirements, and iterate effectively.
Hands-on experience delivering ML solutions end-to-end, including prototyping, validation, and production/operations.
Experience with Databricks and Spark
Hands-on use of MLflow or similar model lifecycle and MLOps frameworks
Experience with deep learning frameworks (e.g. PyTorch)
Practical experience with GenAI / LLMs
Exposure to AWS Bedrock & AWS SageMaker
Strong SQL and data analysis skills
Nice to Have
Experience in regulated or security conscious environments
Familiarity with model governance, monitoring, and managing model performance over time.
Exposure to production model deployment patterns
Familiarity with Responsible AI and model governance
Client facing or consulting experience
Why Version 1?
At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability.
Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits
Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme
Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance
Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme
Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies
Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat
Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform.
Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes.
And many more exciting benefits… drop us a note to find out more.
Version 1 is an equal opportunities employer.
We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring.
We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process, please contact [recruiter email address][EM1] at Version 1. We will consider all requests carefully, respectfully and confidentially.
Video links:
https://www.youtube.com/watch?v=F_d3ELTH5zo
[EM1]Please add the email address for the lead recruiter
