Senior Data Scientist
Senior Data Scientist
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Job Description
As a Senior Data Scientist you will work on some of the most intriguing challenges that the Lendi Group faces. You will be tasked to solve these challenges using advanced analytics machine learning deep learning and broader data science techniques in an agile environment. You will not only develop the models but will also be instrumental in endtoend solution creation including the production automation and implementation of these models in the respective business unit.
So we are not looking for a lone wolf we are looking for a team player who thrives working with others within the newly formed project team and across a broad breadth of stakeholders.
As a Senior Data Scientist you will take on business problems which have a direct impact on customers and the business. These problems include:
- Personalisation
- Growth and retention
- Predictive Customer Lifetime Sales
- Efficiency improvement of our sales channels
- And many more
While solving these problems you will:
- Work with large datasets to gain insights train predictive models and measure results
- Be involved in the full product life cycle
- Develop scalable and innovative ML solutions
- Collaborate with the data team reviewing solutions sharing knowledge and improving coding standards
- Collaborate with internal teams and stakeholders to gain a complete understanding of the problem to be solved and to implement the models to achieve desired outcomes
- Collaborate with external stakeholders
- Ensure projects are delivered on time and budget
- Ensure documentation of the proposed solutions
Qualifications :
Passionate about data science machine learning deep learning you are a true problem solver who is always learning and growing. A true team player you believe in collaboration and helping out your team members.
- 5 years of experience as a Data Scientist or related working experience e.g. Machine Learning Engineer.
- Expertise in machine learning algorithms and demonstrable expertise in their mathematical fundamentals
- Experience in the full lifecycle of developing deploying and maintaining machine learning models in the cloud such as SageMaker and AWS
- Demonstrated experience writing highquality Python code (also open to candidates who have strong R Scala or Java experience with openness to learn Python)
- Expertise in data visualisation libraries and products (e.g. PowerBI Tableau)
- Experience in DevOps environment (e.g. Git)
- Very detail oriented is expected to ensure a high level of quality in report data and model analysis
- Proven skills in translating analytics output to actionable insights and recommendations.
- Work with crossfunctional teams to understand where and when different models or analyses should be used and can create value.
Additional Information :
We support our people in a variety of ways but a few of the benefits that that out people rave about include:
- A vibrant relaxed yet professional culture
- Wellness initiatives with a strong focus on psychological safety
- We offer generous Paid Parental Leave: we celebrate our growing Lendi Group family with 1826 weeks leave for primary carers and up to 4 weeks for secondary carers
- An additional weeks Loyalty Leave each year after reaching 3 years service
- A 24/7 Employee Assistance Program service providing counselling and support
We are a peoplefirst company that invests in initiatives to promote a healthy work environment such as offering an Employee Assistance Program and social groups such as our industryleading Women in Technology group.
Our culture is guided by our 3 core values: We Are Stronger United; Act Like You Own It; and Keep Home Loans Human. Our values are part of our core DNA that helps Lendi Group to attract engage and evolve the right talent and build bestinclass products.
Feeling like you dont meet all the skills listed Thats ok; we are always on the lookout for different skills experience and qualities and so wed still like to hear from you.
#Lendigroup #LIGR2 #LIHybrid
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
