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Our Client, one of Finland's most reputable Microsoft software providers, is currently looking for further core expertise for their Data Driven Solutions team, currently standing at approximately 80 people.

Role can be flexible depending on candidate experience and desires (E.g Senior candidates will be able to participate in Solution Architecture, Pre-Sales and Mentoring). You will be able to participate in end to end practices for large and well known companies across Finland who are adopting the Azure Data Platform.

Requirements:

• A completed Bachelor's degree is greatly appreciated


• Several years of experience working with Data Warehousing / ETL and reporting tools in the Microsoft space


• Previous experience working on Azure Data focused projects


• Knowledge of conceptual modelling using tools such as Data Vault or something similar


• Strong communication skills in both Finnish and English

Benefits:

• A position at a company with a very reputable image and excellent financial stability


• 100% Azure focused projects


• Flexibility on the role that you want (E.g if you want to avoid reporting at all costs and focus on ETL / DW, that is totally fine!)


• A strong team of experienced Data professionals that have a good sense of humour


• The opportunity to learn about many different technologies (even outside of the Microsoft stack)


• Full Remote flexibility


• Career progression opportunities


• Competitive salary & benefits package

Those interested should send their CV & Contact details to the address below, we shall be in touch shortly.

Contact Name: Barney Green

Our client is a leading global provider of business decisioning data and analytics for almost 200 years. They have helped partners grow and thrive through the power of data, analytics and data-driven solutions. With more than 6000 employees globally, they are guided by the important values that make them an established leader in business decisioning data and analytical insights, which are delivered through the client's own Data Cloud and the solutions it powers. Comprising hundreds of millions of business records, curated from tens of thousands of sources, and tens of millions of web pages, their Data Cloud helps clients improve the performance of their organizations both at departmental levels, as well as across their businesses.

The client is uniquely able to give you the insights you need on customers, suppliers, and other business partners. They leverage machine learning/artificial intelligence (AI), as well as apply the latest statistical technologies and methodologies to build the highest performing predictors, ratings, scores, and advanced analytical models.

Nearly 90% of the Fortune 500™, and companies of every size around the world, rely on our client!

Key Responsibilities

• Apply statistical and machine learning concepts to develop supervised and unsupervised models in the area of credit risk.


• Participate in all aspects of a modeling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting


• Engage with clients and cross-functional teams to identify business needs and develop, implement, and manage solutions.


• Analyze internal raw and structured data, investigate alternate data sources by discovering patterns utilizing data engineering, data mining, and visualization methods to support business needs.


• Research complex business issues and recommend solutions, including model inputs, feature engineering, model design frameworks, and end products that drive innovation for the company.

What they are looking for:

• Academic university degree in statistics, econometrics, mathematics, computer science, economics and/or civil engineering. Strong academic profile.


• Good knowledge of Python and SQL, experience in SAS / SAS Viya could be beneficial.


• Good hands-on experience of data processing libraries (Python: pandas, numpy, pyspark, etc.), visualization (Python: seaborn, plotly, etc.), and modeling/ machine learning (Python: scikit-learn, xgboost, etc.).


• 1 years of experience working with statistical models and /or machine learning in the area of business or consumer credit risk, fraud solutions for both supervised and unsupervised learning. A good understanding of machine learning model explainability is an advantage.

What they offer:

• Opportunity to work with hundreds of thousands of data points.


• Work closely with the business including stakeholders in the growth, finance, and product teams.


• Stability of a large global organization with the feeling of a small autonomous environment.


• Lots of progression opportunities and room to grow personally, discuss what you're working towards from day 1.


• Work on exciting projects at a global scale for international customers.

If you'd like more information please send your CV and contact me at:

Benjamin Wilson-Lake

Tired of seeing consulting roles all over the job boards? Here's a unique role in product development for all data engineers to enjoy!

Our Client is a leading analytics solutions provider that focuses on FMCG & Retail customers across the Nordics. (We are talking the most well-known companies!)

Their SaaS products are market dominating, and you will make use of a modern AWS / Snowflake stack in order to build them.

Your role as a Data Engineer will be to develop in-house data platforms and integrations to support the products that your software developer colleagues are building!

Expect an agile and non-hierarchical environment. The team is very relaxed, but works hard and always strives for the best.

Requirements:

• Minimum 2 Years of experience as a Data Engineer


• Prior experience working with the AWS Cloud Platform


• Programming skills: E.g with C#, Python, SQL or Bash


• Huge plus if you have experience with Snowflake, DevOps Tools, or Containers technologies such as Docker or Kubernetes


• Huge plus if you have experience working in the retail sector


• Fluency in English as a minimum, Finnish is a huge plus!

Benefits:

• An awesome team


• Working totally within cloud native solutions using modern tools and working methods


• An informal working atmosphere


• Up to 20% of your working hours learning new technologies / studying for certifications


• Producing work for well known companies across the Nordics (and in some cases, globally!)


• A competitive salary & benefits package

Those interested should send their CV and contact details to the address below. We shall be in touch shortly.

Contact Name: Barney Green