Implementation Data Scientist

Implementation Data Scientist

Full-Time 50000 - 70000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Integrate Altana’s platforms with customers to create unique insights and analytical workflows.
  • Company: Join a collaborative tech company focused on impactful data solutions.
  • Benefits: Competitive salary, professional development, and a diverse work environment.
  • Other info: Opportunity for career growth and to work on meaningful projects.
  • Why this job: Make a real difference by helping government clients leverage cutting-edge technology.
  • Qualifications: 3-4 years in data analytics or related fields; strong Python and SQL skills.

The predicted salary is between 50000 - 70000 £ per year.

The Implementation team is focused on integrating Altana’s platforms with customers to provide unique insights, business process integrations, and create mutual value. We execute complex customer integrations to create analytical workflows and models for bespoke customer scenarios; integrate proprietary customer data to our knowledge graph while preserving privacy; and design and create technical integrations that create client value. The Implementation team works closely with customers, as well as our internal engineering, data science, and product organisations.

We are looking for a candidate to support the team in:

  • Gaining a deep understanding of government use cases and domains, identifying opportunities to leverage the Altana Atlas platform to drive insights and improve existing workflows.
  • Communicating directly with customer analysts and senior decision makers to ensure they have a great experience with Altana’s technology.
  • Building prototypes and customizations that help get customers to value and expand product functionality.
  • Powering use of the Atlas platform, API products, bespoke dashboards and models supporting customers in rapidly achieving value from the solution.
  • Overseeing platform deployments, including integrating customer data and adjusting system architectures for customer environments.

This role will be supporting government customers in the UK and may require a UKSV clearance for access to customer data or systems. Applicants must be able to meet eligibility requirements for access to sensitive information by obtaining a ‘Security Check’ (SC) clearance.

About You

  • 3-4 years of technical experience in data analytics, data science, data engineering, or a similar technology related field.
  • You have designed analytical workflows using things like Python, SQL, Spark or R.
  • You are comfortable with data operations including ETL, EDA, data modeling and compliance.
  • Exceptional communication skills, written and verbal with customer facing experience.
  • Keep up to date with latest trends in data science and care deeply about engineering excellence and knowledge sharing.
  • You have eligibility and willingness to obtain a UK SC clearance.

Nice to have, but not required:

  • Active UK SC clearance.
  • Experience in supply chain management or a field similarly related to international commerce.
  • Experience working with government departments.
  • Knowledge of Machine Learning toolsets (Scikit-learn, Numpy, Pandas).

Technologies we love

  • Languages: Python, Spark, R, SQL.
  • Tools: Databricks, Quicksight, Swagger/OpenAPI, AWS, Azure, Git.

Why it’s great to work at Altana

  • We love to collaborate, and we win as a team!
  • We are committed to engineering excellence.
  • We value personal and professional development.
  • We learn from diverse backgrounds and perspectives.
  • We impact the world, from enabling developing countries to identifying drug traffickers.

At Altana, we believe that a diverse workforce enables greater creativity, performance, and adaptability. We’re proud to be an equal opportunity employer and welcome you to join us as you are. Our employment opportunities and decisions are based on business needs and individual qualifications, without regard to race, color, religious creed, national origin, ancestry, age, physical or mental disability, medical condition, marital status, sexual orientation, gender identity or expression, genetic information, family care or medical leave status, military or veteran status, or any other characteristic protected by the laws or regulations in the areas in which we operate. We prohibit discrimination and harassment of any type, in any situation.

Implementation Data Scientist employer: Altana AI

At Altana, we pride ourselves on fostering a collaborative and inclusive work environment where every team member can thrive. As an Implementation Data Scientist, you will have the opportunity to work closely with government clients in the UK, driving impactful insights and enhancing workflows while benefiting from our commitment to personal and professional development. With a focus on engineering excellence and a diverse workforce, Altana is dedicated to creating meaningful value for both our employees and the communities we serve.

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Contact Details:

Altana AI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Implementation Data Scientist

Tip Number 1

Get to know the company inside out! Research Altana’s projects, values, and recent news. This will help you tailor your conversations and show that you're genuinely interested in what we do.

Tip Number 2

Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral!

Tip Number 3

Prepare for interviews by practising common questions and scenarios related to data science and analytics. Think about how your skills can directly benefit our customers and be ready to share examples.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team!

We think you need these skills to ace Implementation Data Scientist

Data Analytics
Data Science
Data Engineering
Analytical Workflows Design
Python
SQL
Spark

Some tips for your application 🫡

Know the Role:Before you start writing, take a good look at the job description. Understand what the Implementation Data Scientist role entails and how your skills fit in. This will help us tailor your application to highlight the most relevant experiences.

Showcase Your Skills:Make sure to emphasise your technical experience in data analytics, data science, or similar fields. Mention specific tools and languages like Python, SQL, or Spark that you've worked with. We want to see how you can bring value to our team!

Communicate Clearly:Since this role involves direct communication with customers, it's crucial to demonstrate your exceptional written communication skills. Keep your application clear and concise, showing us that you can convey complex ideas simply and effectively.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you're keen on joining our team!

How to prepare for a job interview at Altana AI

Know Your Tech Inside Out

Make sure you’re well-versed in the technologies mentioned in the job description, like Python, SQL, and Spark. Brush up on your analytical workflows and be ready to discuss how you've used these tools in past projects.

Understand the Customer's Needs

Since this role involves working closely with government customers, take some time to research common use cases in that sector. Think about how the Altana Atlas platform can provide value and be prepared to share your insights during the interview.

Show Off Your Communication Skills

Exceptional communication is key for this role. Practice explaining complex technical concepts in simple terms, as you’ll need to communicate effectively with customer analysts and decision-makers. Consider doing mock interviews to refine your delivery.

Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving skills and ability to integrate customer data. Prepare examples from your experience where you’ve successfully built prototypes or adjusted system architectures to meet client needs.