Graduate Data Scientist

Description:

Contract: Full Time 
Location: Leeds 
Salary: £29,000 p/a
 
Closing Date: 11pm - 23rd June 
 
Are you passionate about data science and data mining? Join our team and embark on a journey of innovation and growth! 
 
About the Role 
 
At Unipart, we’re on the hunt for exceptional data scientists who will be responsible for shaping data science and data mining strategy within the business to drive the strategic value of data for our existing and new customers. 
 
We are seeking ever-curious, enthusiastic graduates - those with analytical minds who are never happier than when they’re solving problems. 
 
You’ll be an integral part of this team, contributing to: 

Unveiling hidden insights: You’ll delve into complex, real-world datasets identifying trends and patterns that can inform strategic data-driven decision-making and drive process improvements. 
Develop data-driven solutions: You´ll collaborate with experienced data scientists, hardware, firmware and software engineers to design and implement cutting-edge algorithms that can solve real-world business problems. 
Help build a sustainable future: You’ll contribute to projects that utilise energy and environmental data to promote environmental responsibility, such as analysing energy consumption patterns across different, metrics, locations and industries. 
Exploring new exciting datasets: Your inquisitive nature will be key in working with the data science team to help growth in several new exciting growth industries across Unipart and industries. We work with data from various industries, rail infrastructure, utilities, and battery monitoring. 
 
We want you to embark on a journey of learning and growth. As a Graduate Data Scientist, you will have the opportunity to be coached and guided by our experienced colleagues while developing valuable skills and expertise! 
 
As part of your role as a Graduate Data Scientist you will: 

Extract, data mine and define meaning from raw data and manage key data signatures providing crucial analysis and reporting, the outcome of which should have significant benefits to the bottom line. 
Work with large datasets to analyse and interrogate data and develop new models to support strategic objectives. 
Work for a variety of customers, identifying opportunities to improve current systems, processes and infrastructure - proposing changes, testing and roll out. 
Work closely with key stakeholders across the business to contribute to the “bigger picture” strategy and performance of the business. 
Scope out new data science projects with stakeholders. 
Proactively make suggestions on how Data Science can help the business. 
Work effectively in cross functional teams, specifically with the Software Development Team, on key business wide analytical projects. 
 
About you: 
 
To thrive in this role, you will need: 

A highly numerate degree in a relevant Mathematics, Computer Science, Statistics, Physics, or similarly quantitative field (2:2 or above) 
Experience in statistical modelling, machine learning, data mining / feature selection, unstructured data analytics, natural language processing. 
Proficiency in statistical and other tools/direct coding languages, e.g. Python / C. 
Familiarity with relational databases, statistical techniques and intermediate level knowledge of SQL. 
Advanced excel skills and familiarity of agile methodologies 
Advanced analytical techniques e.g. regression analysis, predictive analysis, data mining 
Understanding of machine-learning / predictive modelling 
Excellent communication (both written and verbal), and interpersonal skills dealing with stakeholders at all levels within the organisation 
High self-motivation and ability to work autonomously 
 
Why Unipart? 
 
Unipart stands at the forefront of innovation, celebrated for our environmental and safety achievements. As a global leader with over 40 UK sites and a presence in major markets worldwide, we're a trusted partner in supply chain solutions and performance improvement technologies. 
 
From our strong heritage in the automotive industry, Unipart has grown into a global company working with world-leading brands to make their supply chains more efficient, resilient and sustainable across our seven core sectors of: 

Automotive 
Rail & Public Transport 
Healthcare 
Aerospace & Defence 
Technology 
E-Commerce, Consumer & Retail 
Industrials 
 
Unipart isn’t just a workplace. We offer "The Unipart Way," a unique approach that empowers our team to achieve excellence through our comprehensive 'Gate to Great' training and development program. At Unipart, your growth is part of our blueprint for success. 
 
We really care about our employees and in addition to your competitive base salary and pension, offer a range of flexible benefits including: 

Life assurance 
22 days rising holiday, plus bank holidays 
Support with relocation costs 
Wellbeing support and an employee assistance programme 
A varied and challenging development programme with dedicated coaching, mentoring and support 
 
Join Our Team: 
 
If you are passionate about data science and data mining and eager to kick-start your career in a dynamic and collaborative environment, apply today! 
 
Our recruitment and selection process has been developed to ensure that it is consistent, fair and provides equality of opportunity - all selection decisions are based solely on technical and behavioural competencies. We do not discriminate on the grounds of race, colour, or nationality, ethnic or national origins, sex, gender reassignment, sexual orientation, marital or civil partnership status, pregnancy or maternity, disability, religion or belief, age or any other current or future protected characteristic as defined in the current Equality Act of England and Wales. 
 
As an organisation we also promote an environment which encourages diversity of characteristics and thought, where you feel included, safe and confident to be the best version of yourself and do your best work every day. 
 
You may have experience in the following roles: Data Analyst, Junior Data Scientist, Data Engineer, Business Intelligence Analyst, Research Analyst, Statistical Analyst, Machine Learning Engineer, Operations Research Analyst, Quantitative Analyst, Data Science Intern, Predictive Modeler, AI Researcher, Applied Scientist, Computational Scientist, etc.  
 
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