Senior Data Scientist / Machine Learning Engineer
- Full-time
- Department: Digital Development & Architecture
Company Description
At Version 1 we pledge "to prove IT can make a real difference to our customers’ businesses". We work hard to ensure we understand what our customers’ need from their technology solutions, and then we deliver.
We are an award-winning digital transformation and IT services company, we provide world class customer service; we think big, and we hire great people. Version 1 are more than just another IT services company - we are implementing and supporting transformative technology solutions, for our customers’, with our key partners Microsoft, AWS, and Oracle.
We are externally recognized for our achievements through numerous peer and industry awards, and accreditations including:
- No 1 Best place to work in Ireland #GPTW2023!!
- 6th Best Large Workplace in the UK
- 10th place in Glassdoor Top 50 UK companies
- UK & Ireland’s premier Oracle, Microsoft & AWS partner
We do this while maintaining our focus with core values of Honesty and Integrity, Personal Commitment, No Ego, Customer First, Excellence and Drive.
With industry leading customer satisfaction scores for our services that include:
- Experts in Digital Transformation through Cloud Services.
- The market top company in Oracle ERP/HCM/EPM Cloud Applications in UK&I.
- Unparalleled Advisory, Implementation and (ASPIRE) Managed Support Services.
- 3000+ consultants (Across UK, Ireland, Spain, India).
- With 2022 revenues of €255m/ £220m, working and innovating with a “blue chip” customer base (in UK, Ireland, and US).
Job Description
This is an exciting opportunity for a Machine Learning Engineer / Data Scientist to deliver high-value analytics solutions for Version 1 customers. This provides a unique opportunity for people who are passionate about technology and have a deep commitment to code quality and best practices to build something special and make a real difference to our business and to our customer’s business.
You will have strong experience in building solutions using a variety of open-source tools based on Python and Spark with a proven track record in delivering high-quality work to tight deadlines.
The role will require a Machine Learning Engineer / Data Scientist with excellent communication skills, who is willing to continuously learn and listen. Creative problem-solving and a keen understanding of how predictive analytics can be leveraged in business processes are a must. We’re looking for a Machine Learning Engineer / Data Scientist who is inherently curious, driven, willing to learn & and develop, with an owning the problem and a self-starter attitude.
Qualifications
Essential:
- Spark or Flink knowledge.
- Airflow, Azure Data Factory or similar ETL/ELT.
- Strong experience using Python.
- Excellent communication skills, including written and oral English language skills.
- Master’s degree in data science, AI or another quantitative field.
- Supervised, Unsupervised Machine learning.
- Solid understanding of evaluation metrics.
- Data pre-processing and preparation.
- Features selection and dimensionality reduction.
- Exploratory analysis and sampling.
- Agile Scrum experience.
- Ability to work to own initiative and without heavy oversight.
- Must show evidence of your passion for technology and continuous learning.
Desirable:
- Familiarity with Huggingface, PyTorch, or TensorFlow.
- Familiarity with Databricks.
- Experience working with offshore team Consultancy experience
If you are up to the challenge, tick most of the boxes above and looking to own technical oversight of a highly motivated and driven team, then get in touch - we’d love to speak with you!
Additional Information
Before you apply, here are some of the benefits we offer:
- Quarterly profit share
- Private medical insurance
- Flexible working policy & remote working
- Incentives for accreditations and educational assistance for courses relevant to your role.
- Employee recognition in the form of Excellence Awards and CallOut which your peers award.
- Pathways career development quarterly
- Engagement is incredibly important. Our local teams drive our engagement events!
- And much more...