- Salary
- £50k – £75k/yr
- Location
- Any UK Office Hub (Bristol / London / Manchester / Swansea)
- Department
- Education
- Seniority
- Senior
- Clearance
- Required
- Source
- Pinpoint
Description
Senior Data Scientist - SC cleared
Department: Technology
Employment Type: Permanent
Location: Any UK Office Hub (Bristol / London / Manchester / Swansea)
Compensation: £49,500 - £75,000 / year
Description
Our Data Scientists enable public sector organisations to unlock the value and the potential of their data, extracting insights and helping organisations to make informed decisions.
They collaborate closely with our clients in all aspects of the project - from understanding the data, to interpreting model's output and model deployment.
They seek to provide reliable answers and deliver maximum value to stakeholders.
Your role at Made Tech
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 & Expertise
We look for the following skills and experience. But when we’re hiring for this role, if you don’t have some of the skills and experience listed below, don’t let that stop you from applying!
- Working directly with clients, users and data engineers
- 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 or PyTorch)
- Popular classification and regression techniques
- Unsupervised learning & matrix factorizations algorithms
- Feature engineering & feature extraction
- Natural Language Processing (NLP) and document processing
- Knowledge of popular DL architecture (CNNs, RNNs etc)
- Performing model selection and evaluation
- Knowledge of cloud (AWS/Azure/GCP)
- Showcasing and presentation skills
- Evidence of self-development – we're value keen learners
- Empathy and people skills
Desirable experience
Experience in the following things isn’t essential, but it’s highly desirable!
- Working at a consultancy
- Agile practices such as Pairing, Scrum, XP, and/or Kanban
- Working with data engineering teams to integrate data from various sources
- Working knowledge of source code repository (GitHub, BitBucket etc)
- Knowledge of SparkML
- Working with multidisciplinary digital and technology teams
- Working within the public sector
Job Benefits
Life at Made Tech
We’re committed to building a happy, inclusive and diverse workforce. You can get a sense of what it’s like working here from our blog, where we talk about mental health, communities of practice and neurodiversity (as well as our client work and best practice).
Like many organisations, we use Slack to chat to each other. The Slack groups that have formed give an idea of the diversity within Made Tech. If you’d like to speak to someone from one of these groups about their experience as an employee, let your recruitment agent or Made Tech Talent Partner know.
The groups are:
- antiracist-activists
- disability
- lgbtqiaplus-allies-and-activists
- neurodiversity
- parents-carers
- women-in-tech
Benefits
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:
✈️ 30 days Holiday - we offer 30 days of paid annual leave
👶 Flexible Parental Leave - we offer flexible parental leave options
👩💻 Remote Working - we offer part time remote working for all our staff
Ideally, we're looking for candidates holding a current SC clearance. As a minimum, we're looking for all successful candidates for this role to have eligibility. Eligibility for SC requires 5 years' UK residency. 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.
Skills
PythonAWSAzureGCPDeep LearningNLPTensorFlowPyTorchNumPyScikit-learnData ScienceData EngineeringGitHubAgileScrumKanban