Senior Data Scientist

Location: Hybrid working in either Bristol, Manchester, London or Swansea.

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We believe we can use tech to make public services better. We also believe this can happen best when our own team represents the society that actually uses the services we work on. We’re collectively continuing to grow a culture that is happy, healthy, safe and inspiring for people of all backgrounds and experiences, so we encourage people from underrepresented groups to apply for roles with us.

When you apply, we’ll put you in touch with a talent partner who can help with any needs or adjustments we may need to make to help with your application. This includes alternative formats for documents, the time allotted for interviews and any other needs. We also welcome any feedback on how we can improve the experience for future candidates.

Key Responsibilities

At Made Tech we want to positively impact the future of the government by using technology to improve society, for everyone. We want to empower the public sector to deliver and continuously improve digital services that are user-centric, data-supported and freed from legacy technology. A key component of this is developing modern data systems that enable informed decision-making for our clients.

As a Data Scientist, you may play one or more roles according to our clients' needs. You could be working closely with clients to help shape their data strategy alongside our data engineers. At other times the role can be very hands-on, and you'll serve in a senior contributor role to projects, focusing on both delivering data science solutions and upskilling members of the client team. Sometimes, you might have to play the role of an advisor, suggesting to clients how data science is done and helping them set up their data science environment. At other times you will be working with the other members of data engineering teams and performing exploratory data analysis.

As a senior member of the data capability within Made Tech, you will also participate in our hiring process and continued development of the team, as well as representing us both internally to the organisation and publicly. You will also line-manage members of the team up to the mid-level.

You’ll need to have a drive to deliver outcomes for users. You’ll need to be comfortable sharing your knowledge and skills with others. We'd love to hear some examples of times you’ve mentored, coached, and contributed to the growth of team members. Maybe you’ve written some blog posts about your discipline, or perhaps even delivered a talk or two that you’d like to share.

Skills, Knowledge and Expertise

Technical skills

• Good understanding of linear algebra (vectors, matrices, tensors etc.) and statistics (probability distributions, probability, bayesian stats etc.)
• Good working knowledge of Python
• Implementing end-to-end ML pipelines
• Hand-on experience in Python data science ecosystem (e.g. numpy, scipy, pandas, scikit-learn, matplotlib etc.)
• Deep Learning frameworks (TensorFlow, PyTorch, MLX)
• Popular classification and regression techniques
• Unsupervised learning & matrix factorisation algorithms
• Natural Language Processing (NLP) and document processing
• Generative AI (open and closed source) - LLM, RAG, Fine Tuning
• Performing model selection and evaluation
• Knowledge of cloud (AWS/Azure/GCP)

Business skills

• Working directly with clients, users and data engineers
• Showcasing and presentation skills
• Evidence of self-development – we value keen learners

We are always listening to our growing teams and evolving the benefits available to our people. As we scale, as do our benefits and we are scaling quickly. We've recently introduced a flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan. We’re also big on connection and have an optional social and wellbeing calendar of events for all employees to join should they choose to.

Here are some of our most popular benefits listed below:

Remote Working- we offer part time remote working for all our staff

Paid counselling- we offer paid counselling as well as financial and legal advice.

An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility. Eligibility for SC requires 5 years' UK residency and 5 year' employment history (or back to full-time education). Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let you know why.

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