Data & Analytics Manager - Data Science Data & Analytics Hyderabad, India

Accordion Partners; Hyderabad; On-site; INR 1,800,000 - 3,200,000; Full time

Benefits offered by this job

Health and wellness programs

Meal card

Travel reimbursement

Team outings

Job summary

Accordion Partners is seeking a Manager - Data Science to lead client projects and deliver advanced analytics solutions. You will guide a team, apply machine learning and deep learning to structured and unstructured data, and work closely with client teams to translate analytics into actionable outcomes.

Ideal candidates have 4–6 years in data science, with Python or R proficiency, strong modeling skills, and experience with big data frameworks such as Hadoop/Spark.

Qualifications

• 4–6 years of experience applying data science/machine learning to real-world problems.
• Proficiency in Python or R.
• Strong modelling skills with algorithms like Random Forests, SVM, Neural Networks.
• Familiarity with Hadoop/Spark is a bonus.
• Strong communication to convey results to clients and teams.

Responsibilities

• Lead client projects delivering advanced analytics solutions.
• Guide team in building robust data science solutions.
• Collaborate with technical, business, and client teams to ensure timely delivery.

Skills

Python

R

Machine Learning

Deep Learning

SQL

Education

Undergraduate degree in a premier institution (IIT/BITS/NIT)

Tools

Hadoop

Spark

Distributed computing

Job description

Accordion works at the intersection of sponsors and management teams throughout every stage of the investment lifecycle, providing hands-on, execution-focused support to elevate data and analytics capabilities. So, what does it mean to work at Accordion? It means joining 1,000+ analytics, data science, finance & technology experts in a high-growth, agile, and entrepreneurial environment while transforming how portfolio companies drive value. It also means making your mark on Accordion’s future—by embracing a culture rooted in collaboration and a firm-wide commitment to building something great, together.

Headquartered in New York City with 10 offices worldwide, Accordion invites you to join our journey.

Accordion's Data & Analytics (D&A) team delivers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges.

We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics.

D&A team delivers data and analytical solutions designed to streamline reporting capabilities and enhance business insights across vast and complex data sets ranging from Sales, Operations, Marketing, Pricing, Customer Strategies, and more.

Role Overview:

As Manager - Data Science you will be leading one or more client projects to deliver various Advance Analytic solutions. (S)he would be working directly with the clients and guide the team in building a robust solution solving client’s business problem as per agreed timelines through application of business knowledge, project management and technical expertise.

What You will do:

• We expect you to manage a team and work on complex, cross-functional analytical and research-oriented projects using advanced computational, machine learning and deep learning algorithms.
• You will be responsible for developing proprietary algorithms for solving complex business problems while handling large amount of structured and unstructured data.
• You will be expected to use relevant knowledge of computer science fundamentals, distributed computing, and machine learning to help build scalable analytical solutions.
• You will ensure that the data science team works closely with our technical team and core business teams for design and development of the analytical solutions.
• You would need to combine business knowledge with statistical and computational techniques to provide actionable business solutions for our clients.

Ideally, you have:

• 4-6 years of experience in applying concepts in Data Science, Machine Learning, Algorithm development, Advanced Computing or Statistical Modeling to solve real-world problems.
• Practical experience in at least one of the following programming languages: R or Python.
• Strong modelling skills and ability to build practical models using advanced algorithms such as Random Forests, SVM, Neural Networks.
• Familiarity with algorithms in recommendation systems, NLP or big data frameworks such as Hadoop/Spark is a bonus.
• Strong independent and creative research skills necessary to keep up with the latest trends in advanced analytics.
• Undergraduate degree from premier institutions such as IIT, BITS, NIT etc.
• Interested in working in a high-growth environment where your analysis drives important decisions.
• Strong communication skills enabling you to clearly communicate your thoughts/work to the client or internal teams.

Why Explore a Career at Accordion:

• High growth environment: Semi-annual performance management and promotion cycles coupled with a strong meritocratic culture, enables fast track to leadership responsibility.
• Cross Domain Exposure: Interesting and challenging work streams across industries and domains that always keep you excited, motivated, and on your toes.
• Entrepreneurial Environment: Intellectual freedom to make decisions and own them. We expect you to spread your wings and assume larger responsibilities.
• Fun culture and peer group: Non-bureaucratic and fun working environment; Strong peer environment that will challenge you and accelerate your learning curve.
• Other benefits for full time employees:
  • Health and wellness programs that include employee health insurance covering immediate family members and parents, term life insurance for employees, free health camps for employees, discounted health services (including vision, dental) for employee and family members, free doctor’s consultations, counsellors, etc.
  • Corporate Meal card options for ease of use and tax benefits.
  • Work dinners, team lunches, company sponsored team outings and celebrations.
  • Reimbursement support for travel to office, as and when promulgated by the Company.
  • Cab reimbursement for women employees beyond a certain time of the day.
  • Robust leave policy to support work-life balance. Specially designed leave structure to support woman employees for maternity and related requests.
  • Reward and recognition platform to celebrate professional and personal milestones.
  • A positive & transparent work environment including various employee engagement and employee benefit initiatives to support personal and professional learning and development