Lead Data Scientist / Deep Learning Practitioner in Nottingham
Lead Data Scientist / Deep Learning Practitioner

Lead Data Scientist / Deep Learning Practitioner in Nottingham

Nottingham Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the development of innovative deep learning models to enhance underwriting capabilities.
  • Company: Dynamic organisation committed to transformation and diversity.
  • Benefits: Competitive salary, generous holiday, private medical insurance, and flexible working arrangements.
  • Why this job: Make a real impact with cutting-edge technology while collaborating with diverse teams.
  • Qualifications: Strong experience in deep learning, coding in SQL/Python, and project management skills.
  • Other info: Join a supportive environment with excellent career progression and internal networks.

The predicted salary is between 43200 - 72000 £ per year.

Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities. By utilizing a mix of new and existing data, you will identify ways to improve predictive power and generate high-impact customer insights.

What you'll do:

  • Lead the development of next generation deep learning approaches to advance our current underwriting models, ensuring that our core lending capabilities remain at the forefront of the industry.
  • Unlock the value in non-traditional datasets by building sophisticated neural networks (e.g. LSTMs, RNNs, or Transformers). You will find novel ways to transform raw, multi-modal inputs into powerful predictive features.
  • Collaborate with business stakeholders to prioritize initiatives. You will bridge the gap between ambitious R&D and tangible in-market results, driving ideas from initial prototypes through to production.
  • Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions.
  • Work cross-functionally on projects that support key business initiatives and drive sustainable growth.

We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few:

  • REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies.
  • OutFront - to provide LGBTQ+ support for all associates.
  • Mind Your Mind - signposting support and promoting positive mental wellbeing for all.
  • Women in Tech - promoting an inclusive environment in tech.
  • EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry.

Requirements:

  • Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series or language models).
  • A proven track record leading model development, including setting the technical direction, project management, stakeholder communications, and mentoring junior members of the team.
  • Experience producing and managing reliable and maintainable code in SQL/Python in a team setting, including code reviews and setting software engineering best practices.
  • Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers, including training deep learning models on GPUs or GPU clusters.
  • Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques.
  • A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation.
  • A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value.

This is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you.

What's in it for you:

  • Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation.
  • We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers).
  • Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave.
  • Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms.

We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages.

Lead Data Scientist / Deep Learning Practitioner in Nottingham employer: VELOCITY MOBILE LTD.

At our company, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation. With a strong commitment to employee growth through extensive training programmes and a focus on diversity and inclusion, we create an environment where every associate can thrive. Our Nottingham office features modern amenities, including a fully-serviced gym and flexible working arrangements, making it an ideal place for talented individuals to advance their careers while enjoying a healthy work-life balance.
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Contact Detail:

VELOCITY MOBILE LTD. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Data Scientist / Deep Learning Practitioner in Nottingham

✨Tip Number 1

Network like a pro! Reach out to current employees on LinkedIn or through our website. Ask them about their experiences and any tips they might have for landing the role. Personal connections can make a huge difference!

✨Tip Number 2

Prepare for the interview by brushing up on your deep learning knowledge. Be ready to discuss your past projects and how you’ve tackled complex data problems. We love seeing candidates who can articulate their thought process!

✨Tip Number 3

Showcase your coding skills! If you’ve got a GitHub or portfolio, share it with us. Demonstrating your hands-on experience with frameworks like PyTorch or TensorFlow can really set you apart from the crowd.

✨Tip Number 4

Don’t forget to highlight your collaborative spirit! We value teamwork, so be prepared to discuss how you’ve worked with stakeholders in the past. Show us how you bridge the gap between tech and business!

We think you need these skills to ace Lead Data Scientist / Deep Learning Practitioner in Nottingham

Deep Learning
Machine Learning
Neural Networks
LSTMs
RNNs
Transformers
SQL
Python
PyTorch
TensorFlow
Hugging Face Transformers
Data Manipulation
Probability
Statistics
Project Management

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with deep learning models and data science. We want to see how your skills align with our needs, so don’t hold back on showcasing your relevant projects!

Showcase Your Collaboration Skills: Since we value teamwork, include examples of how you've worked with business stakeholders or mentored junior team members. This will help us see your ability to bridge the gap between technical and non-technical teams.

Highlight Your Technical Expertise: Be specific about your experience with tools like PyTorch, TensorFlow, or SQL/Python. We’re looking for someone who can hit the ground running, so let us know about your hands-on experience with these technologies.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!

How to prepare for a job interview at VELOCITY MOBILE LTD.

✨Know Your Deep Learning Stuff

Make sure you brush up on your deep learning models, especially LSTMs, RNNs, and Transformers. Be ready to discuss how you've used these in past projects and how they can enhance underwriting capabilities.

✨Show Off Your Collaboration Skills

This role involves working closely with business stakeholders, so be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you bridged the gap between technical development and business needs.

✨Demonstrate Your Coding Proficiency

Since coding is a big part of this job, make sure you can talk about your experience with SQL and Python. Bring examples of your code or discuss best practices you've implemented in previous roles to show you're serious about software engineering.

✨Be Ready to Discuss Data Handling

You’ll need to navigate both structured and unstructured data, so come prepared with stories about how you've managed large datasets. Talk about any tokenisation techniques you've used and how they contributed to your model's success.

Lead Data Scientist / Deep Learning Practitioner in Nottingham
VELOCITY MOBILE LTD.
Location: Nottingham
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