Junior Data Scientist London, England
Job description
Do you love solving complex technical problems with elegant, well-written code?
Have you got a knack for finding the right tools and techniques to model complex business problems?
Can you create compelling narratives around complex, technical subjects, bringing subtle details into sharp focus?
As our new Junior Data Scientist, you'll leverage the power of data and statistical techniques to enable faster, more accurate business decision making, to help connect people with books they'll love.
Under the direction of a Senior Data Scientist, you'll work closely with a cross-disciplinary team of data scientists, data engineers, visualisation experts and business stakeholders.
Working to build effective data products that drive real change in the business, you'll be involved at every step of the process, from exploratory data analysis, cleansing and verification, to the deployment, automation and monitoring of machine learning models.
Whether you're working with our marketing and editorial teams to distil unstructured text data into actionable insight, or helping our sales department understand market trends and predict key decision points in the lifecycle of each book, you'll join in the work of developing novel solutions to unique problems using a mix of well-established methods and cutting-edge research.
What you'll bring to the role:
Required experience
- Excellent understanding of machine learning techniques and algorithms, coupled with a thorough understanding of their mathematical foundations
- Experience using Python for data analysis and statistical modelling, and a familiarity with key open-source libraries like Pandas and NumPy
- Strong grasp of experimental design and analysis
- Solid grounding in SQL, able to write well-formed queries and transformations
- Familiarity with command-line environments and basic aspects of Unix-like operating systems
- Continuous learning and development mindset
- Communication of technical details to non-technical stakeholders in plain, lucid English
Desired experience
- Experience using Git to collaborate with colleagues on a codebase
- Proven experience implementing machine learning models in production
- Strong familiarity with tools and techniques used in Natural Language Processing and time-series analysis
- Deep learning model development with either PyTorch or Tensorflow
- Familiarity with containerised workflows using Docker and Kubernetes
If this sounds like your next opportunity, please apply with you CV and cover letter by Thursday 24th of August.
This is a hybrid role with the expectation to be in the office, based in Embassy Gardens, London, at least twice a week.
Salary: £30,500 – £41,233 depending on how your skills and experience align to the role
Our employees are the heart of our business. We have a range of benefits to reflect our commitment to our employees, some of which are:
- 27 days paid holiday entitlement in year one (plus bank holidays), increasing a day each year up to 30 days
- Medical cover
- Life assurance
- Cycle to Work scheme
- Discounted gym membership
- Generous pension scheme
- Summer working hours (role dependent)
- Volunteering policy and charity matching
- Employee Assistance programme
- Mentoring programme
- Extended gender neutral parental leave
- Access to free and discounted books and eBooks across Penguin Random House UK
- Each site has trained mental health first aiders
- We plant a tree for every new employee to our business
Our creativity is inspired by different perspectives, so we want our culture to be one of belonging, where everyone feels welcome and where differences are celebrated.
As a Disability Confident Committed organisation, we're part of the offer an interview scheme. This is where disabled applicants who meet the essential criteria for the role can opt in to get to the next recruitment stage. There may be some situations where volume of applicants means we can't take all eligible candidates to interview.
We want to make sure disabled applicants can be their best at each step of the recruitment journey. If you need adjustments during the application process, we encourage you to get in touch with us at http://[email protected]. Remember, you only need to share what you are comfortable to for us to support your adjustment request. Find out more about our approach here: http://www.penguinrandomhousecareers.co.uk/applying-for-roles-with-a-disability
We partner with The Book Trade Charity, who provide financial assistance for people looking to get into the publishing industry; you can find more information and talk directly here: https://btbs.org/grants
Please note, we are not able to accept agency CVs for this role. Any CVs sent speculatively will not be eligible for a fee.
Company: Penguin Books Limited
Country: United Kingdom
State/Region: London
City: London
Postal Code: SW1V
Job ID: 262975
