Data Scientist
Data Scientist
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Job Description
Full Time. Permanent.
Immediate start available post preemployment checks.
Hybrid working contract (1 day in the office required)
Location:We are accepting applicants who are based in either the North East of England UK or the Paris area France. Applicants are required to work in the office at least one day per week following a hybrid working model.
The Data IntelligenceTeam at SaleCycle...
Youll join the Data Intelligence Team part of the broader Technology function at SaleCycle and be a key contributor to the design delivery continual assessment and improvement of customerfocused data products. The team is small so the daily work will be varied but as we value collaboration expect lots of interactions with our colleagues in Operations Engineering and Product along with colleagues from the wider business.
You will be contributing to and helping to shape our approach to using data i.e. discovering actionable insights for SaleCycle for our growing base of bluechip clients enabled by building out a modern data stack. Our stack currently includes technologies such as Looker Snowflake DBT Cyclr SageMaker and SQL Server.
As a keen problem solver with a strong sense of curiosity youll love to dig through the data to find trends and patterns and enjoy discussing your findings impact with stakeholders. Youll also get great satisfaction from empowering stakeholders to make decisions from the data experiences you provide to them through Looker and the products you help build.
As a Data Scientist you will
Work in crossfunctional teams to collaborate on delivering products through implementing analytics tools and dashboards that help drive our strategic product strategy and satisfy the needs of our clients.
Collaborate with the wider team to build out the Looker platform using the models and insights that you have discovered to further enrich our client offering.
Build train and deploy machine learning models for various use cases into production tune performance and identify further optimisations.
Extract actionable insights by mining and modeling data to answer challenging questions and create novel analyses and visualisations.
Highlight key signals and trends deep within the underlying data to stakeholders through descriptive and predictive modeling.
Gather and understand requirements from internal stakeholders and translate them into actionable insights models and reports.
Interrogate and optimise the performance of our products by meticulously investigating the data to identify growth opportunities.
Support mentor and provide feedback to your teammates by sharing best practices and staying abreast of the latest technologies and techniques.
Requirements for the role...
Professional experience in a Data Science role and/or degree educated ideally in a mathematical or computer/data science related subject.
Extensive knowledge of Data Science techniques including at least two of recommendations segmentation forecasting hypothesis testing optimisation.
Experience of building endtoend machine learning solutions and deploying them into production using cloud platforms e.g. AWS SageMaker.
Track record of identifying and highlighting key insights signals and trends deep within the underlying data to unlock commercial value.
Knowledge of statistical techniques for preparing and analysing complex datasets.
Experience of using analytical tools and languages e.g. Python / R / SPSS etc.
Desirable criteria for the role
Cloud certification in ML technologies e.g. AWS Certified ML Speciality.
Experience of using the Looker analytics platform.
Familiarity with modern Data Warehouses specifically Snowflake.
Good at data cleaning detecting and resolving outliers etc.
Awareness of data governance and implications for the handling of personal data.
Awareness of the challenges of processing massive datasets efficiently.
Experience of working in an SME at an early stage of Data Science maturity along with an appreciation of the challenges that this can bring.
A well rounded data professional with some experience across a range of data disciplines such as Data Analytics Data Engineering Data Science etc.
Personal Skills and Attributes
Rigorous with data analysis always persevering to ask questions to uncover greater depth of insights.
Enthusiastic about uncovering opportunities of using data to drive revenue and improve decision making.
Selfmotivated attentive to detail keen eye for quality.
Commercial mindset.
Lifelong learner.
What We Offer...
We value our employees here at SaleCycle so in addition to a competitive salary we offer great benefits and incentives to our employees.
- Flexible hybrid working
- Generous annual leave plus your birthday off
- EAP including 24/7 GP access
- Pension Scheme
- Tech & Cycle to work schemes
- Team events and individual social fund
- Bonus schemes for innovation new business and employee referrals
- Supporting your learning and development e.g. professional qualifications
Our Recruitment Process:
The recruitment process will involve an initial telephone interview to briefly discuss your experience salary expectations and any questions you may have.
The next stage would be a remote interview with a couple of members of our Data Intelligence Team where we will use this opportunity to get to know you better and understand what experience and skills you can bring to the team and the opportunities that we can give you.
You may then be invited for a further interview with our Head of Data and Chief Technology Officer.
Interested Apply now! We would love to hear from you!
As part of our recruitment process successful candidates are subject to a DBS check. This cost is covered by SaleCycle.
Within this role there are Information Security requirements which the successful candidate is required to adhere to. Please check with the Hiring Manager for further information.
**We are an equal opportunities employer and value diversity at our company. We do not discriminate based on race religion sex national origin gender sexual orientation marital status disability status or age.**
Employment Type
Full Time
